Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
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import path from "node:path";
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import type { SshRemoteExecutionSpec } from "./ssh.js";
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Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
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import {
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prepareCommandManagedRuntime,
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type CommandManagedRuntimeRunner,
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} from "./command-managed-runtime.js";
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Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
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import {
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buildRemoteExecutionSessionIdentity,
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prepareRemoteManagedRuntime,
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remoteExecutionSessionMatches,
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type RemoteManagedRuntimeAsset,
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} from "./remote-managed-runtime.js";
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Add sandbox callback bridge for remote environment API access (#4801)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents can run inside sandboxed environments like E2B, which are
isolated from the host network
> - Sandboxed agents need to call back to the Paperclip API to report
progress, post comments, and update issue status
> - But sandbox environments cannot reach the Paperclip server directly
because they run in isolated network namespaces
> - This PR adds a callback bridge that proxies API requests from the
sandbox to the Paperclip server, running as a local HTTP server on the
host that forwards authenticated requests
> - The bridge is started automatically when an adapter launches a
sandbox execution, and torn down when the run completes
> - The benefit is sandboxed agents can interact with the Paperclip API
without requiring network-level access to the host, enabling E2B and
similar providers to work end-to-end
## What Changed
- Added `sandbox-callback-bridge.ts` in `packages/adapter-utils/` — a
lightweight HTTP bridge server that accepts requests from sandbox
environments and proxies them to the Paperclip API with authentication
- Added request validation and security policy: the bridge only forwards
requests to the configured API URL, validates content types, enforces
size limits, and rejects non-API paths
- Wired the bridge into all remote adapter execute paths (claude, codex,
cursor, gemini, pi) — the bridge starts before the agent process and the
bridge URL is passed via environment variables
- Updated `environment-execution-target.ts` to prefer the explicit API
URL from environment lease metadata for sandbox callback routing
- Fixed Claude sandbox runtime setup to work with the bridge
configuration
- Added comprehensive test coverage for bridge request handling, policy
enforcement, and sandbox execution integration
- Fixed browser bundling — the bridge module is excluded from the
frontend bundle via the adapter-utils index export
## Verification
- `pnpm test` — all existing and new tests pass, including bridge unit
tests and sandbox execution integration tests
- `pnpm typecheck` — clean
- Manual: configure an E2B environment, run an agent task, verify the
agent can post comments and update issue status through the bridge
## Risks
- Medium. This is a new network-facing component (HTTP server on
localhost). The security policy restricts forwarding to the configured
API URL only and validates all requests, but any proxy introduces attack
surface. The bridge binds to localhost only and is scoped to the
lifetime of a single agent run.
## Model Used
Codex GPT 5.4 high via Paperclip.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-29 16:37:34 -07:00
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import {
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createCommandManagedSandboxCallbackBridgeQueueClient,
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createSandboxCallbackBridgeAsset,
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createSandboxCallbackBridgeToken,
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DEFAULT_SANDBOX_CALLBACK_BRIDGE_MAX_BODY_BYTES,
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startSandboxCallbackBridgeServer,
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startSandboxCallbackBridgeWorker,
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} from "./sandbox-callback-bridge.js";
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Migrate SSH environment callback to bridge (#5116)
> **Stacked PR (part 3 of 7).** Depends on:
- PR #5114
- PR #5115
> Diff against `master` includes commits from earlier PRs in the stack —
the new commit in this PR is the topmost one.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents executing on a remote SSH-backed environment need a way to
call back into
> the Paperclip control plane (run events, log streaming, signals)
> - When the SSH host can't reach the Paperclip host (NAT, firewalls, or
simply not
> on the same network), the run silently fails or hangs — a recurring
class of
> failure during SSH testing
> - In sandboxed environments we already solved this with a callback
bridge that
> tunnels back through the existing connection; SSH was the odd one out
> - This PR migrates SSH execution to use the same callback bridge, so
every
> adapter's remote run uses one consistent reverse-channel. Per-adapter
SSH glue
> is deleted in favour of a shared `CommandManagedRuntimeRunner` built
from the
> SSH spec
> - The benefit is fewer SSH-specific failure modes, a smaller code
surface, and
> one place to evolve the callback contract going forward
## What Changed
- Added `createSshCommandManagedRuntimeRunner` in
`packages/adapter-utils/src/ssh.ts` that adapts an SSH spec into a
generic
command-managed-runtime runner (with cwd, env, and timeout handling)
- Removed `paperclipApiUrl` from `SshRemoteExecutionSpec`; the bridge
URL now flows
through the shared runner
- Reworked `execution-target.ts` to use the SSH runner alongside sandbox
runners
via a unified `CommandManagedRuntimeRunner` interface
- Simplified `remote-managed-runtime.ts` and
`sandbox-managed-runtime.ts` to consume
the shared runner abstraction
- Deleted per-adapter SSH callback wiring from claude-local,
codex-local,
cursor-local, gemini-local, opencode-local, pi-local execute.ts files
- Removed `environment-runtime-driver-contract.test.ts` (the contract is
now
enforced by `environment-execution-target.test.ts`)
- Added/updated `execute.remote.test.ts` cases for each adapter to cover
the SSH
runner path
## Verification
- `pnpm --filter @paperclipai/adapter-utils test`
- `pnpm test -- execute.remote` (covers all six local adapters' SSH
paths)
- Manual QA: ran a claude-local agent against an SSH-backed environment,
confirmed
the agent successfully called back to `/api/agent-callback/*` endpoints
during
the run
## Risks
- Refactor touches all six local adapters. If any adapter had subtle
SSH-specific
behaviour that wasn't captured in tests, it could regress. Mitigation:
each
adapter's `execute.remote.test.ts` was extended.
- `paperclipApiUrl` removal from `SshRemoteExecutionSpec` is a breaking
type change
for any internal consumer. Verified no external plugins consume this
type.
- The new `CommandManagedRuntimeRunner` shape is a public surface in
`@paperclipai/adapter-utils`; downstream plugins implementing custom
runners may
need updates, but no such plugins exist in this repo.
## Model Used
- OpenAI GPT-5.4 (reasoning effort: high) via Codex CLI
- Provider: OpenAI
- Used to author the code changes in this PR
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots — N/A
- [ ] I have updated relevant documentation to reflect my changes — N/A
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-03 12:43:52 -07:00
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import { createSshCommandManagedRuntimeRunner, parseSshRemoteExecutionSpec, runSshCommand, shellQuote } from "./ssh.js";
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Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
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import {
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ensureCommandResolvable,
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resolveCommandForLogs,
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runChildProcess,
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type RunProcessResult,
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type TerminalResultCleanupOptions,
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} from "./server-utils.js";
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Sanitize remote execution envs at the boundary (#5325)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Adapters spawn CLIs against local, SSH, and sandbox targets,
threading a runtime env through `runAdapterExecutionTargetProcess` and
the SSH/sandbox runners
> - Host identity vars (HOME, TMPDIR, XDG_*, NVM_DIR, PATH) routinely
leak into the env we send to remote targets — sometimes via test probes,
sometimes via runtime config — and break sandboxed/SSH'd CLIs whose own
profiles set those values correctly
> - The sanitization logic existed but lived alongside other helpers in
`server-utils.ts` and was applied piecemeal at adapter callsites, so it
was easy to bypass
> - This pull request lifts the sanitization into a standalone
`remote-execution-env.ts`, applies it at the SSH and sandbox runtime
boundary so every remote spawn goes through it, and removes the
duplicated callsite-level filtering
> - The benefit is identity-bound host env stops leaking across
SSH/sandbox transports regardless of which adapter calls in
## What Changed
- `packages/adapter-utils/src/remote-execution-env.ts`: new module —
single source of truth for which env keys are identity-bound and how to
strip them when the value matches the host's value
- `packages/adapter-utils/src/server-utils.ts`: remove the inline
sanitization (now in `remote-execution-env.ts`)
- `packages/adapter-utils/src/execution-target.ts`: apply sanitization
at the sandbox runtime boundary
- `packages/adapter-utils/src/ssh.ts`: apply sanitization at the SSH
spawn boundary
- `packages/adapters/opencode-local/src/server/test.ts`: drop
now-redundant callsite filtering
- `packages/adapters/pi-local/src/server/test.ts`: drop now-redundant
callsite filtering
- New tests `execution-target.test.ts` and
`execution-target-sandbox.test.ts` cover the sanitizer flow at both
transports, including positive cases (host-shaped path stripped) and
explicit-override preservation
## Verification
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils
--project @paperclipai/adapter-opencode-local --project
@paperclipai/adapter-pi-local`
- `pnpm typecheck` clean
## Risks
Low–medium. The sanitization is now applied at one layer (boundary)
instead of N (callsites), so behavior is more consistent. Any adapter
that previously relied on a leaked host var landing on the remote shell
would now see it stripped — but those reliances were what this change
exists to fix.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable — new tests at both
transports
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 19:30:14 -07:00
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import { sanitizeRemoteExecutionEnv } from "./remote-execution-env.js";
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Add secrets provider vaults and remote import (#5429)
## Thinking Path
> - Paperclip orchestrates AI-agent companies and needs secrets handling
to work across local development, hosted operators, and governed agent
execution.
> - The affected subsystem is the company-scoped secrets control plane:
database schema, server services/routes, CLI workflows, and the Secrets
settings UI.
> - The gap was that secrets were local-only and operators could not
manage provider vaults or import existing remote references without
exposing plaintext.
> - This branch adds provider vault configuration plus an AWS Secrets
Manager remote-import path while preserving company boundaries, binding
context, and audit trails.
> - I kept the PR to a single branch PR, removed unrelated
lockfile/package drift, rebased the full branch onto the current
`public-gh/master`, and addressed fresh Greptile findings.
> - The benefit is a reviewable implementation of provider-backed
secrets with focused tests covering provider selection, import
conflicts, deleted secret reuse, rotation guards, and AWS signing
behavior.
## What Changed
- Added provider vault support for company secrets, including provider
config storage, default vault handling, health checks, binding usage,
access events, and remote import preview/commit.
- Added an AWS Secrets Manager provider using SigV4 request signing,
bounded request timeouts, namespace guardrails, cached runtime
credential resolution, and external-reference linking without plaintext
reads.
- Added Secrets UI surfaces for vault management and remote import, plus
CLI/API documentation for setup and operations.
- Stabilized routine webhook secret binding paths and SSH
environment-driver fixture bindings discovered during verification.
- Addressed Greptile and CI findings: no lockfile/package drift,
monotonic migration metadata, disabled-vault default races, soft-deleted
secret hiding/recreate behavior, remove behavior with disabled vaults,
soft-deleted external-reference re-import, non-active rotation guards,
managed-secret soft deletion through PATCH, and per-call AWS SDK
credential client churn.
- Rebased this branch onto `public-gh/master` at `0e1a5828` and
force-pushed with lease to keep this as the single PR for the branch.
## Verification
- `git fetch public-gh master`
- `git rebase public-gh/master`
- `git diff --name-only public-gh/master...HEAD | grep
'^pnpm-lock\.yaml$' || true` confirmed `pnpm-lock.yaml` is not in the PR
diff.
- Confirmed migration ordering: master ends at `0081_optimal_dormammu`;
this PR adds `0082_dry_vision` and
`0083_company_secret_provider_configs`.
- Inspected migrations for repeat safety: new tables/indexes use `IF NOT
EXISTS`; foreign keys are guarded by `DO $$ ... IF NOT EXISTS`; column
additions use `ADD COLUMN IF NOT EXISTS`.
- `pnpm -r typecheck` passed before the Greptile follow-up commits.
- `pnpm test:run` ran the full stable Vitest path before the Greptile
follow-up commits; it completed with 3 timing-related failures under
parallel load: `codex-local-execute.test.ts`,
`cursor-local-execute.test.ts`, and `environment-service.test.ts`.
- `pnpm --filter @paperclipai/server exec vitest run
src/__tests__/codex-local-execute.test.ts
src/__tests__/cursor-local-execute.test.ts
src/__tests__/environment-service.test.ts` passed on targeted rerun
(`24/24`).
- `pnpm build` passed before the Greptile follow-up commits. Vite
reported existing chunk-size/dynamic-import warnings.
- After Greptile follow-up commits: `pnpm --filter @paperclipai/server
exec vitest run src/__tests__/secrets-service.test.ts` passed (`26/26`).
- After Greptile follow-up commits: `pnpm --filter @paperclipai/server
exec vitest run src/__tests__/aws-secrets-manager-provider.test.ts
src/__tests__/secrets-service.test.ts` passed (`39/39`).
- After Greptile follow-up commits: `pnpm --filter @paperclipai/server
typecheck` passed.
- Captured Storybook screenshots from `ui/storybook-static` for visual
review.
- Latest PR checks on `5ca3a5cf`: `policy`, serialized server suites
1/4-4/4, `Canary Dry Run`, `e2e`, `security/snyk`, and `Greptile Review`
pass; aggregate `verify` is still registering the completed child
checks.
- Greptile review loop continued through the latest requested pass; all
Greptile review threads are resolved and the latest `Greptile Review`
check on `5ca3a5cf` passed with 0 comments added.
## Screenshots
Before: the provider-vault and remote-import surfaces did not exist on
`master`; these are after-state screenshots from the Storybook fixtures.



## Risks
- Migration risk: this adds new secret provider tables and extends
existing secret rows. The migrations were checked for monotonic ordering
and idempotent guards, but reviewers should still inspect upgrade
behavior carefully.
- Provider risk: AWS support uses direct SigV4 requests. Automated tests
cover signing, request timeouts, vault-config selection, namespace
guardrails, pending-version archival, sanitized provider errors, and
service-level cleanup paths. A real-vault AWS smoke test remains
deployment validation for an operator with AWS credentials rather than
an unverified merge blocker in this local branch.
- UI risk: the Secrets page and import dialog are large new surfaces;
screenshots are included above for reviewer inspection.
- Verification risk: the full local stable test command hit
parallel-load timing failures, although the exact failed files passed
when rerun directly.
- Operational risk: remote import intentionally avoids plaintext reads;
operators must understand that imported external references resolve at
runtime and may fail if AWS permissions change.
> For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and
discuss it in `#dev` before opening the PR. Feature PRs that overlap
with planned core work may need to be redirected — check the roadmap
first. See `CONTRIBUTING.md`.
## Model Used
- OpenAI Codex, GPT-5 coding agent with local shell/tool use in the
Paperclip worktree. Exact context-window size was not exposed by the
runtime.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [ ] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
---------
Co-authored-by: Paperclip <noreply@paperclip.ing>
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-09 18:22:17 -05:00
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import { preferredShellForSandbox, shellCommandArgs } from "./sandbox-shell.js";
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
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export interface AdapterLocalExecutionTarget {
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kind: "local";
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environmentId?: string | null;
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leaseId?: string | null;
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}
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export interface AdapterSshExecutionTarget {
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kind: "remote";
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transport: "ssh";
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environmentId?: string | null;
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leaseId?: string | null;
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remoteCwd: string;
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spec: SshRemoteExecutionSpec;
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}
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Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
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export interface AdapterSandboxExecutionTarget {
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kind: "remote";
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transport: "sandbox";
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providerKey?: string | null;
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Let sandbox providers declare shell defaults (#5114)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents execute in sandboxed remote environments served by pluggable
sandbox
> providers (E2B today, more later)
> - Today every sandbox command runs under `sh -lc` regardless of what
the
> provider's container actually ships
> - That misses bash-only shell init on E2B (which ships bash) and
prevents
> future providers from declaring a different default — there's no way
for a
> provider to say "I have bash, use it"
> - This PR adds a `shellCommand` field to sandbox execution targets so
providers
> can declare their preferred shell ("bash" for E2B), threads it through
the
> sandbox-managed-runtime client, callback bridge, and execution-target
shell
> helper, and validates the value at the lease-metadata boundary
> - The benefit is that sandbox commands run under the right shell on
the right
> provider, and adding new sandbox providers only needs to declare a
shell
> preference
## What Changed
- Added `packages/adapter-utils/src/sandbox-shell.ts` exporting
`preferredShellForSandbox(shellCommand)` (returns `"bash"` if input is
`"bash"`,
else `"sh"`)
- Added `shellCommand?: "bash" | "sh" | null` to
`AdapterSandboxExecutionTarget`
and `CommandManagedRuntimeSpec`; threaded it through
`runAdapterExecutionTargetShellCommand`,
`prepareAdapterExecutionTargetRuntime`,
and `startAdapterExecutionTargetPaperclipBridge`
- `createCommandManagedRuntimeClient`, `prepareCommandManagedRuntime`,
and
`createCommandManagedSandboxCallbackBridgeQueueClient` now take an
optional
`shellCommand` and use `preferredShellForSandbox` to pick the shell
- `startSandboxCallbackBridgeServer` accepts a `shellCommand` for its
server
startup, readiness probe, and stop hook
- E2B sandbox plugin declares `shellCommand: "bash"` in `leaseMetadata`
- `resolveEnvironmentExecutionTarget` reads `shellCommand` from lease
metadata
(validating against `"bash" | "sh" | null`)
- `environment-runtime.ts` adds `"shellCommand"` to
`INTERNAL_PLUGIN_SANDBOX_CONFIG_KEYS`
so the field round-trips through internal plugin config without leaking
to
external plugin metadata
- Updated tests in `command-managed-runtime.test.ts`,
`execution-target-sandbox.test.ts`, `sandbox-callback-bridge.test.ts`,
`environment-execution-target.test.ts`
## Verification
- `pnpm --filter @paperclipai/adapter-utils test`
- `pnpm --filter @paperclipai/server test --
environment-execution-target`
- `pnpm --filter @paperclipai/sandbox-providers-e2b test`
- Manual QA: boot a Paperclip instance, create an E2B-backed
environment, run a
claude_local agent against it, and confirm the run completes (verifies
bash
shell semantics flow through the callback bridge end-to-end)
## Risks
- E2B sandbox commands now run under `bash -lc` instead of `sh -lc`.
Bash is a
strict superset for the commands we issue (no busybox-only flags in our
shell
scripts), so risk is low. The shellCommand field is opt-in via lease
metadata —
providers that don't declare it stay on `sh`.
- New optional field on `CommandManagedRuntimeSpec` and
`AdapterSandboxExecutionTarget`.
Consumers ignoring the field retain previous behaviour (sh).
- Lease metadata now carries an additional field. Existing leases
without
`shellCommand` resolve to `null` and fall back to sh — backwards
compatible.
## Model Used
- OpenAI GPT-5.4 (reasoning effort: high) via Codex CLI
- Provider: OpenAI
- Used to author the code changes in this PR
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots — N/A (no UI changes)
- [ ] I have updated relevant documentation to reflect my changes — N/A
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-03 12:19:35 -07:00
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shellCommand?: "bash" | "sh" | null;
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
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environmentId?: string | null;
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leaseId?: string | null;
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remoteCwd: string;
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timeoutMs?: number | null;
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runner?: CommandManagedRuntimeRunner;
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}
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Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
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export type AdapterExecutionTarget =
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| AdapterLocalExecutionTarget
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
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| AdapterSshExecutionTarget
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| AdapterSandboxExecutionTarget;
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Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
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export type AdapterRemoteExecutionSpec = SshRemoteExecutionSpec;
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export type AdapterManagedRuntimeAsset = RemoteManagedRuntimeAsset;
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export interface PreparedAdapterExecutionTargetRuntime {
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target: AdapterExecutionTarget;
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Harden remote workspace sync and restore flows (#5444)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - When an agent runs against a remote target, Paperclip syncs the
workspace out to the remote at run start and restores changes back to
the local workspace at run end
> - The previous restore flow naïvely overwrote local files with
whatever the remote returned, so files that the remote run never touched
but had timestamp/mode drift could be needlessly rewritten — and a
single static `refs/paperclip/ssh-sync/imported` ref made concurrent SSH
workspace exports race on the same git ref
> - This pull request adds a `workspace-restore-merge` module that diffs
a pre-run snapshot against the post-run remote state and only writes
back files the remote actually changed; SSH workspace exports now use a
per-import unique ref so concurrent runs can't trample each other
> - Every adapter's execute path threads the snapshot through
`prepareAdapterExecutionTargetRuntime` so the merge has the baseline it
needs
> - The benefit is workspace restores no longer churn untouched files,
and concurrent SSH runs no longer collide on the import ref
## What Changed
- `packages/adapter-utils/src/workspace-restore-merge.{ts,test.ts}`: new
module — directory snapshot (kind/mode/sha256/symlink target) plus
snapshot-aware merge that writes only the files the remote changed
- `packages/adapter-utils/src/ssh.ts`: SSH workspace export uses a
per-import unique ref (`refs/paperclip/ssh-sync/imported/<uuid>`);
restore goes through the new merge helper; `ssh-fixture.test.ts` covers
the unique-ref + merge paths
- `packages/adapter-utils/src/sandbox-managed-runtime.ts` +
`remote-managed-runtime.ts`: thread the snapshot/merge through the
sandbox and SSH paths
- `packages/adapter-utils/src/server-utils.{ts,test.ts}` +
`execution-target.ts`: helpers for capturing the pre-run snapshot;
`prepareAdapterExecutionTargetRuntime` gains required `runId` and
optional `workspaceRemoteDir`, and returns the realized
`workspaceRemoteDir`
- Each adapter's `execute.ts` (acpx, claude, codex, cursor, gemini,
opencode, pi) takes the snapshot at run start and passes it through to
the runtime restore
- Remote execute test mocks updated to match the new
`prepareWorkspaceForSshExecution` return shape and the per-run
`${managedRemoteWorkspace}` cwd subdirectory
## Verification
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils
--project @paperclipai/adapter-acpx-local --project
@paperclipai/adapter-claude-local --project
@paperclipai/adapter-codex-local --project
@paperclipai/adapter-cursor-local --project
@paperclipai/adapter-gemini-local --project
@paperclipai/adapter-opencode-local --project
@paperclipai/adapter-pi-local` — 196/196 passing
- `pnpm typecheck` clean across the workspace
## Risks
Medium. The restore path now writes a strict subset of what it
previously did — files the remote did not touch are no longer rewritten.
If any flow was relying on a touch-without-content-change being copied
back (timestamp or permission propagation only), that behavior is now
skipped. Snapshot capture adds an O(N-files-in-workspace) hash pass at
run start; the cost is bounded by the existing exclude list. The `runId`
parameter on `prepareAdapterExecutionTargetRuntime` is now required —
every in-tree caller is updated; out-of-tree adapter authors need to
pass it.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable — new module +
every adapter execute path covered
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-07 14:44:45 -07:00
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workspaceRemoteDir: string | null;
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
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runtimeRootDir: string | null;
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assetDirs: Record<string, string>;
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restoreWorkspace(): Promise<void>;
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}
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export interface AdapterExecutionTargetProcessOptions {
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cwd: string;
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env: Record<string, string>;
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stdin?: string;
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timeoutSec: number;
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graceSec: number;
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onLog: (stream: "stdout" | "stderr", chunk: string) => Promise<void>;
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onSpawn?: (meta: { pid: number; processGroupId: number | null; startedAt: string }) => Promise<void>;
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terminalResultCleanup?: TerminalResultCleanupOptions;
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}
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export interface AdapterExecutionTargetShellOptions {
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cwd: string;
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env: Record<string, string>;
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timeoutSec?: number;
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graceSec?: number;
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onLog?: (stream: "stdout" | "stderr", chunk: string) => Promise<void>;
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}
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Add sandbox callback bridge for remote environment API access (#4801)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents can run inside sandboxed environments like E2B, which are
isolated from the host network
> - Sandboxed agents need to call back to the Paperclip API to report
progress, post comments, and update issue status
> - But sandbox environments cannot reach the Paperclip server directly
because they run in isolated network namespaces
> - This PR adds a callback bridge that proxies API requests from the
sandbox to the Paperclip server, running as a local HTTP server on the
host that forwards authenticated requests
> - The bridge is started automatically when an adapter launches a
sandbox execution, and torn down when the run completes
> - The benefit is sandboxed agents can interact with the Paperclip API
without requiring network-level access to the host, enabling E2B and
similar providers to work end-to-end
## What Changed
- Added `sandbox-callback-bridge.ts` in `packages/adapter-utils/` — a
lightweight HTTP bridge server that accepts requests from sandbox
environments and proxies them to the Paperclip API with authentication
- Added request validation and security policy: the bridge only forwards
requests to the configured API URL, validates content types, enforces
size limits, and rejects non-API paths
- Wired the bridge into all remote adapter execute paths (claude, codex,
cursor, gemini, pi) — the bridge starts before the agent process and the
bridge URL is passed via environment variables
- Updated `environment-execution-target.ts` to prefer the explicit API
URL from environment lease metadata for sandbox callback routing
- Fixed Claude sandbox runtime setup to work with the bridge
configuration
- Added comprehensive test coverage for bridge request handling, policy
enforcement, and sandbox execution integration
- Fixed browser bundling — the bridge module is excluded from the
frontend bundle via the adapter-utils index export
## Verification
- `pnpm test` — all existing and new tests pass, including bridge unit
tests and sandbox execution integration tests
- `pnpm typecheck` — clean
- Manual: configure an E2B environment, run an agent task, verify the
agent can post comments and update issue status through the bridge
## Risks
- Medium. This is a new network-facing component (HTTP server on
localhost). The security policy restricts forwarding to the configured
API URL only and validates all requests, but any proxy introduces attack
surface. The bridge binds to localhost only and is scoped to the
lifetime of a single agent run.
## Model Used
Codex GPT 5.4 high via Paperclip.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-29 16:37:34 -07:00
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export interface AdapterExecutionTargetPaperclipBridgeHandle {
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env: Record<string, string>;
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stop(): Promise<void>;
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}
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Sanitize remote execution envs at the boundary (#5325)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Adapters spawn CLIs against local, SSH, and sandbox targets,
threading a runtime env through `runAdapterExecutionTargetProcess` and
the SSH/sandbox runners
> - Host identity vars (HOME, TMPDIR, XDG_*, NVM_DIR, PATH) routinely
leak into the env we send to remote targets — sometimes via test probes,
sometimes via runtime config — and break sandboxed/SSH'd CLIs whose own
profiles set those values correctly
> - The sanitization logic existed but lived alongside other helpers in
`server-utils.ts` and was applied piecemeal at adapter callsites, so it
was easy to bypass
> - This pull request lifts the sanitization into a standalone
`remote-execution-env.ts`, applies it at the SSH and sandbox runtime
boundary so every remote spawn goes through it, and removes the
duplicated callsite-level filtering
> - The benefit is identity-bound host env stops leaking across
SSH/sandbox transports regardless of which adapter calls in
## What Changed
- `packages/adapter-utils/src/remote-execution-env.ts`: new module —
single source of truth for which env keys are identity-bound and how to
strip them when the value matches the host's value
- `packages/adapter-utils/src/server-utils.ts`: remove the inline
sanitization (now in `remote-execution-env.ts`)
- `packages/adapter-utils/src/execution-target.ts`: apply sanitization
at the sandbox runtime boundary
- `packages/adapter-utils/src/ssh.ts`: apply sanitization at the SSH
spawn boundary
- `packages/adapters/opencode-local/src/server/test.ts`: drop
now-redundant callsite filtering
- `packages/adapters/pi-local/src/server/test.ts`: drop now-redundant
callsite filtering
- New tests `execution-target.test.ts` and
`execution-target-sandbox.test.ts` cover the sanitizer flow at both
transports, including positive cases (host-shaped path stripped) and
explicit-override preservation
## Verification
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils
--project @paperclipai/adapter-opencode-local --project
@paperclipai/adapter-pi-local`
- `pnpm typecheck` clean
## Risks
Low–medium. The sanitization is now applied at one layer (boundary)
instead of N (callsites), so behavior is more consistent. Any adapter
that previously relied on a leaked host var landing on the remote shell
would now see it stripped — but those reliances were what this change
exists to fix.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable — new tests at both
transports
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 19:30:14 -07:00
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export { sanitizeRemoteExecutionEnv } from "./remote-execution-env.js";
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Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
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function parseObject(value: unknown): Record<string, unknown> {
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return value && typeof value === "object" && !Array.isArray(value)
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? (value as Record<string, unknown>)
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: {};
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}
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function readString(value: unknown): string | null {
|
|
|
|
|
return typeof value === "string" && value.trim().length > 0 ? value.trim() : null;
|
|
|
|
|
}
|
|
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|
|
|
|
function readStringMeta(parsed: Record<string, unknown>, key: string): string | null {
|
|
|
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|
return readString(parsed[key]);
|
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|
|
}
|
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|
|
Add sandbox callback bridge for remote environment API access (#4801)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents can run inside sandboxed environments like E2B, which are
isolated from the host network
> - Sandboxed agents need to call back to the Paperclip API to report
progress, post comments, and update issue status
> - But sandbox environments cannot reach the Paperclip server directly
because they run in isolated network namespaces
> - This PR adds a callback bridge that proxies API requests from the
sandbox to the Paperclip server, running as a local HTTP server on the
host that forwards authenticated requests
> - The bridge is started automatically when an adapter launches a
sandbox execution, and torn down when the run completes
> - The benefit is sandboxed agents can interact with the Paperclip API
without requiring network-level access to the host, enabling E2B and
similar providers to work end-to-end
## What Changed
- Added `sandbox-callback-bridge.ts` in `packages/adapter-utils/` — a
lightweight HTTP bridge server that accepts requests from sandbox
environments and proxies them to the Paperclip API with authentication
- Added request validation and security policy: the bridge only forwards
requests to the configured API URL, validates content types, enforces
size limits, and rejects non-API paths
- Wired the bridge into all remote adapter execute paths (claude, codex,
cursor, gemini, pi) — the bridge starts before the agent process and the
bridge URL is passed via environment variables
- Updated `environment-execution-target.ts` to prefer the explicit API
URL from environment lease metadata for sandbox callback routing
- Fixed Claude sandbox runtime setup to work with the bridge
configuration
- Added comprehensive test coverage for bridge request handling, policy
enforcement, and sandbox execution integration
- Fixed browser bundling — the bridge module is excluded from the
frontend bundle via the adapter-utils index export
## Verification
- `pnpm test` — all existing and new tests pass, including bridge unit
tests and sandbox execution integration tests
- `pnpm typecheck` — clean
- Manual: configure an E2B environment, run an agent task, verify the
agent can post comments and update issue status through the bridge
## Risks
- Medium. This is a new network-facing component (HTTP server on
localhost). The security policy restricts forwarding to the configured
API URL only and validates all requests, but any proxy introduces attack
surface. The bridge binds to localhost only and is scoped to the
lifetime of a single agent run.
## Model Used
Codex GPT 5.4 high via Paperclip.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-29 16:37:34 -07:00
|
|
|
function resolveHostForUrl(rawHost: string): string {
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const host = rawHost.trim();
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|
if (!host || host === "0.0.0.0" || host === "::") return "localhost";
|
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|
if (host.includes(":") && !host.startsWith("[") && !host.endsWith("]")) return `[${host}]`;
|
|
|
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|
return host;
|
|
|
|
|
}
|
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function resolveDefaultPaperclipApiUrl(): string {
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const runtimeHost = resolveHostForUrl(
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|
process.env.PAPERCLIP_LISTEN_HOST ?? process.env.HOST ?? "localhost",
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|
|
);
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// 3100 matches the default Paperclip dev server port when the runtime does not provide one.
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|
const runtimePort = process.env.PAPERCLIP_LISTEN_PORT ?? process.env.PORT ?? "3100";
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|
return `http://${runtimeHost}:${runtimePort}`;
|
|
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}
|
|
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|
|
Add optional bridge proxy request logging via PAPERCLIP_BRIDGE_DEBUG (#5140)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents on remote sandboxes call back into the Paperclip control
plane via a
> callback bridge — the host process running the bridge proxies HTTP
requests
> from the sandbox to the Paperclip API
> - When something goes wrong end-to-end (sandbox can't reach Paperclip,
requests
> timing out, malformed responses), it's hard to tell whether the bridge
> processed the request, what URL/method it used, and what the upstream
> responded with
> - There was no built-in way to log bridge proxy traffic without
modifying
> adapter code or attaching a debugger
> - This PR adds opt-in stdout logging of every bridge proxy request and
response
> (method, path, query, status), gated behind `PAPERCLIP_BRIDGE_DEBUG`
so it
> stays off by default
> - The benefit is that operators can flip a single env var to get full
visibility
> into bridge traffic when debugging remote runs, without changing code
## What Changed
- `packages/adapter-utils/src/execution-target.ts`:
`startAdapterExecutionTargetPaperclipBridge`'s `handleRequest` now logs
each
proxied request and response when `PAPERCLIP_BRIDGE_DEBUG` is truthy:
- `[paperclip] Bridge proxy <METHOD> <path>?<query>` before fetch
- `[paperclip] Bridge proxy response <status> for <METHOD>
<path>?<query>` after
- Logging is no-op when the env var is unset/`"0"`/`"false"`.
## Verification
- Set `PAPERCLIP_BRIDGE_DEBUG=1` in the host process env, run an agent
against
a sandbox-backed environment, confirm the bridge log lines appear in
stdout.
- Unset the env var and confirm no extra log lines appear during normal
runs.
## Risks
- Off-by-default, no observable change for shipping users.
- When enabled, the logging is verbose — every API call from the sandbox
produces 2 stdout lines. Operators should only enable it during active
debugging.
## Model Used
- OpenAI GPT-5.4 (reasoning effort: high) via Codex CLI
- Provider: OpenAI
- Used to author the code changes in this PR
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [ ] I have added or updated tests where applicable — covered by
exercising the
flag in dev; the underlying handleRequest behavior is unchanged
- [ ] If this change affects the UI, I have included before/after
screenshots — N/A
- [ ] I have updated relevant documentation to reflect my changes — N/A
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-03 18:34:48 -07:00
|
|
|
function isBridgeDebugEnabled(env: NodeJS.ProcessEnv): boolean {
|
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|
|
const value = env.PAPERCLIP_BRIDGE_DEBUG?.trim().toLowerCase();
|
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|
return value === "1" || value === "true" || value === "yes";
|
|
|
|
|
}
|
|
|
|
|
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
function isAdapterExecutionTargetInstance(value: unknown): value is AdapterExecutionTarget {
|
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|
|
|
const parsed = parseObject(value);
|
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|
|
if (parsed.kind === "local") return true;
|
|
|
|
|
if (parsed.kind !== "remote") return false;
|
|
|
|
|
if (parsed.transport === "ssh") return parseSshRemoteExecutionSpec(parseObject(parsed.spec)) !== null;
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
if (parsed.transport !== "sandbox") return false;
|
|
|
|
|
return readStringMeta(parsed, "remoteCwd") !== null;
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
}
|
|
|
|
|
|
|
|
|
|
export function adapterExecutionTargetToRemoteSpec(
|
|
|
|
|
target: AdapterExecutionTarget | null | undefined,
|
|
|
|
|
): AdapterRemoteExecutionSpec | null {
|
|
|
|
|
return target?.kind === "remote" && target.transport === "ssh" ? target.spec : null;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
export function adapterExecutionTargetIsRemote(
|
|
|
|
|
target: AdapterExecutionTarget | null | undefined,
|
|
|
|
|
): boolean {
|
|
|
|
|
return target?.kind === "remote";
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
export function adapterExecutionTargetUsesManagedHome(
|
|
|
|
|
target: AdapterExecutionTarget | null | undefined,
|
|
|
|
|
): boolean {
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
return target?.kind === "remote" && target.transport === "sandbox";
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
}
|
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export function adapterExecutionTargetRemoteCwd(
|
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|
target: AdapterExecutionTarget | null | undefined,
|
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|
localCwd: string,
|
|
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|
|
): string {
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return target?.kind === "remote" ? target.remoteCwd : localCwd;
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}
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|
Harden remote workspace sync and restore flows (#5444)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - When an agent runs against a remote target, Paperclip syncs the
workspace out to the remote at run start and restores changes back to
the local workspace at run end
> - The previous restore flow naïvely overwrote local files with
whatever the remote returned, so files that the remote run never touched
but had timestamp/mode drift could be needlessly rewritten — and a
single static `refs/paperclip/ssh-sync/imported` ref made concurrent SSH
workspace exports race on the same git ref
> - This pull request adds a `workspace-restore-merge` module that diffs
a pre-run snapshot against the post-run remote state and only writes
back files the remote actually changed; SSH workspace exports now use a
per-import unique ref so concurrent runs can't trample each other
> - Every adapter's execute path threads the snapshot through
`prepareAdapterExecutionTargetRuntime` so the merge has the baseline it
needs
> - The benefit is workspace restores no longer churn untouched files,
and concurrent SSH runs no longer collide on the import ref
## What Changed
- `packages/adapter-utils/src/workspace-restore-merge.{ts,test.ts}`: new
module — directory snapshot (kind/mode/sha256/symlink target) plus
snapshot-aware merge that writes only the files the remote changed
- `packages/adapter-utils/src/ssh.ts`: SSH workspace export uses a
per-import unique ref (`refs/paperclip/ssh-sync/imported/<uuid>`);
restore goes through the new merge helper; `ssh-fixture.test.ts` covers
the unique-ref + merge paths
- `packages/adapter-utils/src/sandbox-managed-runtime.ts` +
`remote-managed-runtime.ts`: thread the snapshot/merge through the
sandbox and SSH paths
- `packages/adapter-utils/src/server-utils.{ts,test.ts}` +
`execution-target.ts`: helpers for capturing the pre-run snapshot;
`prepareAdapterExecutionTargetRuntime` gains required `runId` and
optional `workspaceRemoteDir`, and returns the realized
`workspaceRemoteDir`
- Each adapter's `execute.ts` (acpx, claude, codex, cursor, gemini,
opencode, pi) takes the snapshot at run start and passes it through to
the runtime restore
- Remote execute test mocks updated to match the new
`prepareWorkspaceForSshExecution` return shape and the per-run
`${managedRemoteWorkspace}` cwd subdirectory
## Verification
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils
--project @paperclipai/adapter-acpx-local --project
@paperclipai/adapter-claude-local --project
@paperclipai/adapter-codex-local --project
@paperclipai/adapter-cursor-local --project
@paperclipai/adapter-gemini-local --project
@paperclipai/adapter-opencode-local --project
@paperclipai/adapter-pi-local` — 196/196 passing
- `pnpm typecheck` clean across the workspace
## Risks
Medium. The restore path now writes a strict subset of what it
previously did — files the remote did not touch are no longer rewritten.
If any flow was relying on a touch-without-content-change being copied
back (timestamp or permission propagation only), that behavior is now
skipped. Snapshot capture adds an O(N-files-in-workspace) hash pass at
run start; the cost is bounded by the existing exclude list. The `runId`
parameter on `prepareAdapterExecutionTargetRuntime` is now required —
every in-tree caller is updated; out-of-tree adapter authors need to
pass it.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable — new module +
every adapter execute path covered
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-07 14:44:45 -07:00
|
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export function overrideAdapterExecutionTargetRemoteCwd(
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target: AdapterExecutionTarget | null | undefined,
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remoteCwd: string | null | undefined,
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): AdapterExecutionTarget | null | undefined {
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const nextRemoteCwd = remoteCwd?.trim();
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if (!target || target.kind !== "remote" || !nextRemoteCwd) {
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return target;
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}
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if (target.remoteCwd === nextRemoteCwd) {
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return target;
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}
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if (target.transport === "ssh") {
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return {
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...target,
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remoteCwd: nextRemoteCwd,
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spec: {
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...target.spec,
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remoteCwd: nextRemoteCwd,
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},
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};
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}
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return {
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...target,
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remoteCwd: nextRemoteCwd,
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};
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}
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|
Add dedicated environment settings page and test-in-environment (#4798)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents run inside environments (local, SSH, E2B sandbox)
> - Operators need to configure and manage these environments
> - But environment settings were buried inside the general company
settings page, making them hard to find
> - Additionally, when testing an agent from the configuration form, the
test always ran locally regardless of which environment was selected
> - This PR moves environments into a dedicated top-level company
settings section and wires the "Test Environment" button to run inside
the selected environment
> - The benefit is operators can find and manage environments more
easily, and the test button now validates the actual environment the
agent will use
## What Changed
- Added a dedicated `CompanyEnvironments` settings page with its own
route and sidebar entry
- Updated `CompanySettingsSidebar` and `CompanySettingsNav` to include
the new environments section
- Modified the agent test route (`POST /agents/:id/test`) to accept an
optional `environmentId` parameter
- Updated all adapter `test.ts` handlers to resolve and use the
specified execution target environment
- Added `resolveTestExecutionTarget` to `execution-target.ts` for remote
environment test resolution with cwd fallback
- Moved the "Test Environment" button and its feedback display into the
`NewAgent` page footer for better UX flow
## Verification
- `pnpm test` — all existing and new tests pass
- `pnpm typecheck` — clean
- Manual: navigate to Company Settings, confirm "Environments" appears
as a top-level section
- Manual: configure an agent with a non-local environment, click "Test
Environment", confirm the test runs inside that environment
## Risks
- Low risk. UI-only routing change for the settings page. The
test-in-environment change adds an optional parameter with a local
fallback, so existing behavior is preserved when no environment is
specified.
## Model Used
Codex GPT 5.4 high via Paperclip.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-29 15:56:13 -07:00
|
|
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export function resolveAdapterExecutionTargetCwd(
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target: AdapterExecutionTarget | null | undefined,
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configuredCwd: string | null | undefined,
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localFallbackCwd: string,
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): string {
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if (typeof configuredCwd === "string" && configuredCwd.trim().length > 0) {
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return configuredCwd;
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}
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return adapterExecutionTargetRemoteCwd(target, localFallbackCwd);
|
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}
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|
Add sandbox callback bridge for remote environment API access (#4801)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents can run inside sandboxed environments like E2B, which are
isolated from the host network
> - Sandboxed agents need to call back to the Paperclip API to report
progress, post comments, and update issue status
> - But sandbox environments cannot reach the Paperclip server directly
because they run in isolated network namespaces
> - This PR adds a callback bridge that proxies API requests from the
sandbox to the Paperclip server, running as a local HTTP server on the
host that forwards authenticated requests
> - The bridge is started automatically when an adapter launches a
sandbox execution, and torn down when the run completes
> - The benefit is sandboxed agents can interact with the Paperclip API
without requiring network-level access to the host, enabling E2B and
similar providers to work end-to-end
## What Changed
- Added `sandbox-callback-bridge.ts` in `packages/adapter-utils/` — a
lightweight HTTP bridge server that accepts requests from sandbox
environments and proxies them to the Paperclip API with authentication
- Added request validation and security policy: the bridge only forwards
requests to the configured API URL, validates content types, enforces
size limits, and rejects non-API paths
- Wired the bridge into all remote adapter execute paths (claude, codex,
cursor, gemini, pi) — the bridge starts before the agent process and the
bridge URL is passed via environment variables
- Updated `environment-execution-target.ts` to prefer the explicit API
URL from environment lease metadata for sandbox callback routing
- Fixed Claude sandbox runtime setup to work with the bridge
configuration
- Added comprehensive test coverage for bridge request handling, policy
enforcement, and sandbox execution integration
- Fixed browser bundling — the bridge module is excluded from the
frontend bundle via the adapter-utils index export
## Verification
- `pnpm test` — all existing and new tests pass, including bridge unit
tests and sandbox execution integration tests
- `pnpm typecheck` — clean
- Manual: configure an E2B environment, run an agent task, verify the
agent can post comments and update issue status through the bridge
## Risks
- Medium. This is a new network-facing component (HTTP server on
localhost). The security policy restricts forwarding to the configured
API URL only and validates all requests, but any proxy introduces attack
surface. The bridge binds to localhost only and is scoped to the
lifetime of a single agent run.
## Model Used
Codex GPT 5.4 high via Paperclip.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-29 16:37:34 -07:00
|
|
|
export function adapterExecutionTargetUsesPaperclipBridge(
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|
|
|
|
target: AdapterExecutionTarget | null | undefined,
|
|
|
|
|
): boolean {
|
Migrate SSH environment callback to bridge (#5116)
> **Stacked PR (part 3 of 7).** Depends on:
- PR #5114
- PR #5115
> Diff against `master` includes commits from earlier PRs in the stack —
the new commit in this PR is the topmost one.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents executing on a remote SSH-backed environment need a way to
call back into
> the Paperclip control plane (run events, log streaming, signals)
> - When the SSH host can't reach the Paperclip host (NAT, firewalls, or
simply not
> on the same network), the run silently fails or hangs — a recurring
class of
> failure during SSH testing
> - In sandboxed environments we already solved this with a callback
bridge that
> tunnels back through the existing connection; SSH was the odd one out
> - This PR migrates SSH execution to use the same callback bridge, so
every
> adapter's remote run uses one consistent reverse-channel. Per-adapter
SSH glue
> is deleted in favour of a shared `CommandManagedRuntimeRunner` built
from the
> SSH spec
> - The benefit is fewer SSH-specific failure modes, a smaller code
surface, and
> one place to evolve the callback contract going forward
## What Changed
- Added `createSshCommandManagedRuntimeRunner` in
`packages/adapter-utils/src/ssh.ts` that adapts an SSH spec into a
generic
command-managed-runtime runner (with cwd, env, and timeout handling)
- Removed `paperclipApiUrl` from `SshRemoteExecutionSpec`; the bridge
URL now flows
through the shared runner
- Reworked `execution-target.ts` to use the SSH runner alongside sandbox
runners
via a unified `CommandManagedRuntimeRunner` interface
- Simplified `remote-managed-runtime.ts` and
`sandbox-managed-runtime.ts` to consume
the shared runner abstraction
- Deleted per-adapter SSH callback wiring from claude-local,
codex-local,
cursor-local, gemini-local, opencode-local, pi-local execute.ts files
- Removed `environment-runtime-driver-contract.test.ts` (the contract is
now
enforced by `environment-execution-target.test.ts`)
- Added/updated `execute.remote.test.ts` cases for each adapter to cover
the SSH
runner path
## Verification
- `pnpm --filter @paperclipai/adapter-utils test`
- `pnpm test -- execute.remote` (covers all six local adapters' SSH
paths)
- Manual QA: ran a claude-local agent against an SSH-backed environment,
confirmed
the agent successfully called back to `/api/agent-callback/*` endpoints
during
the run
## Risks
- Refactor touches all six local adapters. If any adapter had subtle
SSH-specific
behaviour that wasn't captured in tests, it could regress. Mitigation:
each
adapter's `execute.remote.test.ts` was extended.
- `paperclipApiUrl` removal from `SshRemoteExecutionSpec` is a breaking
type change
for any internal consumer. Verified no external plugins consume this
type.
- The new `CommandManagedRuntimeRunner` shape is a public surface in
`@paperclipai/adapter-utils`; downstream plugins implementing custom
runners may
need updates, but no such plugins exist in this repo.
## Model Used
- OpenAI GPT-5.4 (reasoning effort: high) via Codex CLI
- Provider: OpenAI
- Used to author the code changes in this PR
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots — N/A
- [ ] I have updated relevant documentation to reflect my changes — N/A
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-03 12:43:52 -07:00
|
|
|
return target?.kind === "remote";
|
Add sandbox callback bridge for remote environment API access (#4801)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents can run inside sandboxed environments like E2B, which are
isolated from the host network
> - Sandboxed agents need to call back to the Paperclip API to report
progress, post comments, and update issue status
> - But sandbox environments cannot reach the Paperclip server directly
because they run in isolated network namespaces
> - This PR adds a callback bridge that proxies API requests from the
sandbox to the Paperclip server, running as a local HTTP server on the
host that forwards authenticated requests
> - The bridge is started automatically when an adapter launches a
sandbox execution, and torn down when the run completes
> - The benefit is sandboxed agents can interact with the Paperclip API
without requiring network-level access to the host, enabling E2B and
similar providers to work end-to-end
## What Changed
- Added `sandbox-callback-bridge.ts` in `packages/adapter-utils/` — a
lightweight HTTP bridge server that accepts requests from sandbox
environments and proxies them to the Paperclip API with authentication
- Added request validation and security policy: the bridge only forwards
requests to the configured API URL, validates content types, enforces
size limits, and rejects non-API paths
- Wired the bridge into all remote adapter execute paths (claude, codex,
cursor, gemini, pi) — the bridge starts before the agent process and the
bridge URL is passed via environment variables
- Updated `environment-execution-target.ts` to prefer the explicit API
URL from environment lease metadata for sandbox callback routing
- Fixed Claude sandbox runtime setup to work with the bridge
configuration
- Added comprehensive test coverage for bridge request handling, policy
enforcement, and sandbox execution integration
- Fixed browser bundling — the bridge module is excluded from the
frontend bundle via the adapter-utils index export
## Verification
- `pnpm test` — all existing and new tests pass, including bridge unit
tests and sandbox execution integration tests
- `pnpm typecheck` — clean
- Manual: configure an E2B environment, run an agent task, verify the
agent can post comments and update issue status through the bridge
## Risks
- Medium. This is a new network-facing component (HTTP server on
localhost). The security policy restricts forwarding to the configured
API URL only and validates all requests, but any proxy introduces attack
surface. The bridge binds to localhost only and is scoped to the
lifetime of a single agent run.
## Model Used
Codex GPT 5.4 high via Paperclip.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-29 16:37:34 -07:00
|
|
|
}
|
|
|
|
|
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
export function describeAdapterExecutionTarget(
|
|
|
|
|
target: AdapterExecutionTarget | null | undefined,
|
|
|
|
|
): string {
|
|
|
|
|
if (!target || target.kind === "local") return "local environment";
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
if (target.transport === "ssh") {
|
|
|
|
|
return `SSH environment ${target.spec.username}@${target.spec.host}:${target.spec.port}`;
|
|
|
|
|
}
|
|
|
|
|
return `sandbox environment${target.providerKey ? ` (${target.providerKey})` : ""}`;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
function requireSandboxRunner(target: AdapterSandboxExecutionTarget): CommandManagedRuntimeRunner {
|
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|
|
|
if (target.runner) return target.runner;
|
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|
throw new Error(
|
|
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|
"Sandbox execution target is missing its provider runtime runner. Sandbox commands must execute through the environment runtime.",
|
|
|
|
|
);
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
}
|
|
|
|
|
|
Let sandbox providers declare shell defaults (#5114)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents execute in sandboxed remote environments served by pluggable
sandbox
> providers (E2B today, more later)
> - Today every sandbox command runs under `sh -lc` regardless of what
the
> provider's container actually ships
> - That misses bash-only shell init on E2B (which ships bash) and
prevents
> future providers from declaring a different default — there's no way
for a
> provider to say "I have bash, use it"
> - This PR adds a `shellCommand` field to sandbox execution targets so
providers
> can declare their preferred shell ("bash" for E2B), threads it through
the
> sandbox-managed-runtime client, callback bridge, and execution-target
shell
> helper, and validates the value at the lease-metadata boundary
> - The benefit is that sandbox commands run under the right shell on
the right
> provider, and adding new sandbox providers only needs to declare a
shell
> preference
## What Changed
- Added `packages/adapter-utils/src/sandbox-shell.ts` exporting
`preferredShellForSandbox(shellCommand)` (returns `"bash"` if input is
`"bash"`,
else `"sh"`)
- Added `shellCommand?: "bash" | "sh" | null` to
`AdapterSandboxExecutionTarget`
and `CommandManagedRuntimeSpec`; threaded it through
`runAdapterExecutionTargetShellCommand`,
`prepareAdapterExecutionTargetRuntime`,
and `startAdapterExecutionTargetPaperclipBridge`
- `createCommandManagedRuntimeClient`, `prepareCommandManagedRuntime`,
and
`createCommandManagedSandboxCallbackBridgeQueueClient` now take an
optional
`shellCommand` and use `preferredShellForSandbox` to pick the shell
- `startSandboxCallbackBridgeServer` accepts a `shellCommand` for its
server
startup, readiness probe, and stop hook
- E2B sandbox plugin declares `shellCommand: "bash"` in `leaseMetadata`
- `resolveEnvironmentExecutionTarget` reads `shellCommand` from lease
metadata
(validating against `"bash" | "sh" | null`)
- `environment-runtime.ts` adds `"shellCommand"` to
`INTERNAL_PLUGIN_SANDBOX_CONFIG_KEYS`
so the field round-trips through internal plugin config without leaking
to
external plugin metadata
- Updated tests in `command-managed-runtime.test.ts`,
`execution-target-sandbox.test.ts`, `sandbox-callback-bridge.test.ts`,
`environment-execution-target.test.ts`
## Verification
- `pnpm --filter @paperclipai/adapter-utils test`
- `pnpm --filter @paperclipai/server test --
environment-execution-target`
- `pnpm --filter @paperclipai/sandbox-providers-e2b test`
- Manual QA: boot a Paperclip instance, create an E2B-backed
environment, run a
claude_local agent against it, and confirm the run completes (verifies
bash
shell semantics flow through the callback bridge end-to-end)
## Risks
- E2B sandbox commands now run under `bash -lc` instead of `sh -lc`.
Bash is a
strict superset for the commands we issue (no busybox-only flags in our
shell
scripts), so risk is low. The shellCommand field is opt-in via lease
metadata —
providers that don't declare it stay on `sh`.
- New optional field on `CommandManagedRuntimeSpec` and
`AdapterSandboxExecutionTarget`.
Consumers ignoring the field retain previous behaviour (sh).
- Lease metadata now carries an additional field. Existing leases
without
`shellCommand` resolve to `null` and fall back to sh — backwards
compatible.
## Model Used
- OpenAI GPT-5.4 (reasoning effort: high) via Codex CLI
- Provider: OpenAI
- Used to author the code changes in this PR
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots — N/A (no UI changes)
- [ ] I have updated relevant documentation to reflect my changes — N/A
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-03 12:19:35 -07:00
|
|
|
function preferredSandboxShell(target: AdapterSandboxExecutionTarget): "bash" | "sh" {
|
|
|
|
|
return preferredShellForSandbox(target.shellCommand);
|
|
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|
|
}
|
|
|
|
|
|
Migrate SSH environment callback to bridge (#5116)
> **Stacked PR (part 3 of 7).** Depends on:
- PR #5114
- PR #5115
> Diff against `master` includes commits from earlier PRs in the stack —
the new commit in this PR is the topmost one.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents executing on a remote SSH-backed environment need a way to
call back into
> the Paperclip control plane (run events, log streaming, signals)
> - When the SSH host can't reach the Paperclip host (NAT, firewalls, or
simply not
> on the same network), the run silently fails or hangs — a recurring
class of
> failure during SSH testing
> - In sandboxed environments we already solved this with a callback
bridge that
> tunnels back through the existing connection; SSH was the odd one out
> - This PR migrates SSH execution to use the same callback bridge, so
every
> adapter's remote run uses one consistent reverse-channel. Per-adapter
SSH glue
> is deleted in favour of a shared `CommandManagedRuntimeRunner` built
from the
> SSH spec
> - The benefit is fewer SSH-specific failure modes, a smaller code
surface, and
> one place to evolve the callback contract going forward
## What Changed
- Added `createSshCommandManagedRuntimeRunner` in
`packages/adapter-utils/src/ssh.ts` that adapts an SSH spec into a
generic
command-managed-runtime runner (with cwd, env, and timeout handling)
- Removed `paperclipApiUrl` from `SshRemoteExecutionSpec`; the bridge
URL now flows
through the shared runner
- Reworked `execution-target.ts` to use the SSH runner alongside sandbox
runners
via a unified `CommandManagedRuntimeRunner` interface
- Simplified `remote-managed-runtime.ts` and
`sandbox-managed-runtime.ts` to consume
the shared runner abstraction
- Deleted per-adapter SSH callback wiring from claude-local,
codex-local,
cursor-local, gemini-local, opencode-local, pi-local execute.ts files
- Removed `environment-runtime-driver-contract.test.ts` (the contract is
now
enforced by `environment-execution-target.test.ts`)
- Added/updated `execute.remote.test.ts` cases for each adapter to cover
the SSH
runner path
## Verification
- `pnpm --filter @paperclipai/adapter-utils test`
- `pnpm test -- execute.remote` (covers all six local adapters' SSH
paths)
- Manual QA: ran a claude-local agent against an SSH-backed environment,
confirmed
the agent successfully called back to `/api/agent-callback/*` endpoints
during
the run
## Risks
- Refactor touches all six local adapters. If any adapter had subtle
SSH-specific
behaviour that wasn't captured in tests, it could regress. Mitigation:
each
adapter's `execute.remote.test.ts` was extended.
- `paperclipApiUrl` removal from `SshRemoteExecutionSpec` is a breaking
type change
for any internal consumer. Verified no external plugins consume this
type.
- The new `CommandManagedRuntimeRunner` shape is a public surface in
`@paperclipai/adapter-utils`; downstream plugins implementing custom
runners may
need updates, but no such plugins exist in this repo.
## Model Used
- OpenAI GPT-5.4 (reasoning effort: high) via Codex CLI
- Provider: OpenAI
- Used to author the code changes in this PR
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots — N/A
- [ ] I have updated relevant documentation to reflect my changes — N/A
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-03 12:43:52 -07:00
|
|
|
type AdapterCommandCapableExecutionTarget = AdapterSshExecutionTarget | AdapterSandboxExecutionTarget;
|
|
|
|
|
|
|
|
|
|
function adapterExecutionTargetCommandRunner(target: AdapterCommandCapableExecutionTarget): CommandManagedRuntimeRunner {
|
|
|
|
|
if (target.transport === "ssh") {
|
|
|
|
|
return createSshCommandManagedRuntimeRunner({
|
|
|
|
|
spec: target.spec,
|
|
|
|
|
defaultCwd: target.remoteCwd,
|
|
|
|
|
maxBufferBytes: DEFAULT_SANDBOX_CALLBACK_BRIDGE_MAX_BODY_BYTES * 4,
|
|
|
|
|
});
|
|
|
|
|
}
|
|
|
|
|
return requireSandboxRunner(target);
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
function adapterExecutionTargetShellCommand(target: AdapterCommandCapableExecutionTarget): "bash" | "sh" {
|
|
|
|
|
return target.transport === "ssh" ? "sh" : preferredSandboxShell(target);
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
function adapterExecutionTargetTimeoutMs(
|
|
|
|
|
target: AdapterCommandCapableExecutionTarget,
|
|
|
|
|
): number | null | undefined {
|
|
|
|
|
return target.transport === "sandbox" ? target.timeoutMs : undefined;
|
|
|
|
|
}
|
|
|
|
|
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
export async function ensureAdapterExecutionTargetCommandResolvable(
|
|
|
|
|
command: string,
|
|
|
|
|
target: AdapterExecutionTarget | null | undefined,
|
|
|
|
|
cwd: string,
|
|
|
|
|
env: NodeJS.ProcessEnv,
|
Wire per-adapter sandbox install commands through test and execute paths (#5280)
> **Stacked PR.** Sits on top of the e2b sandbox chain — #5278 (stdin
staging) and #5279 (honest-resolvability + login-profiles). The
cumulative diff against `master` includes both of those PRs' content;
the files touched by *this* PR's commit are the new
`maybeRunSandboxInstallCommand` helper in
`packages/adapter-utils/src/execution-target.ts` and the per-adapter
`index.ts`/`server/test.ts`/`server/execute.ts` wiring under
`packages/adapters/{claude,codex,cursor,gemini,opencode,pi}-local/`. The
honest resolvability check from #5279 is what gives this PR's install
command a meaningful "did it actually land on PATH" follow-up.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Sandbox execution targets are ephemeral — each fresh lease starts
from a template image that may or may not have the agent CLIs
preinstalled
> - When a CLI isn't preinstalled, the resolvability probe fails at
`command -v` and the hello probe never runs
> - There's no shared mechanism for "before you probe or provision,
install the CLI on this sandbox"
> - This pull request adds a `SANDBOX_INSTALL_COMMAND` constant per
adapter and a `maybeRunSandboxInstallCommand` helper that runs it via
the existing sandbox login shell, captures structured output, and never
throws (so the resolvability + hello probe still run after); each
adapter's `test()` and `execute()` share the constant so the two
callsites can't drift
> - The benefit is a fresh sandbox lease without a preinstalled CLI now
installs it once via `sh -lc` before the resolvability probe and before
managed-runtime provisioning, with a uniform
`<adapter>_install_command_run` check on the test report
## What Changed
- `packages/adapter-utils/src/execution-target.ts`: add
`AdapterSandboxInstallCommandCheck` and `maybeRunSandboxInstallCommand`
(runs the install via existing sandbox shell, captures
exit/stdout/stderr, returns a structured info/warn check, never throws)
- Add `SANDBOX_INSTALL_COMMAND` to each adapter's `index.ts` so `test()`
and `execute()` share a single source of truth
- Wire each of the 6 affected adapter `testEnvironment()`s to call
`maybeRunSandboxInstallCommand` before
`ensureAdapterExecutionTargetCommandResolvable`
- Pass `installCommand: SANDBOX_INSTALL_COMMAND` through
`prepareAdapterExecutionTargetRuntime` in each adapter's `execute()`
- Per-adapter install commands use npm globals where possible so
binaries land on a PATH segment the template already exports:
- claude → `npm install -g @anthropic-ai/claude-code`
- codex → `npm install -g @openai/codex`
- cursor → `curl https://cursor.com/install -fsS | bash`
- gemini → `npm install -g @google/gemini-cli`
- opencode → `npm install -g opencode-ai`
- pi → `npm install -g @mariozechner/pi-coding-agent`
SSH and local targets ignore `installCommand` (SSH runtime takes no such
param; local short-circuits before runtime prep), so this is a no-op for
non-sandbox environments.
## Verification
- `pnpm typecheck` clean
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils`
and per-adapter projects pass
- Manual sandbox matrix (claude, codex, cursor, gemini, opencode, pi) —
each goes `install_command_run → resolvable → hello_probe_passed` (Codex
and Pi land on `hello_probe_auth_required`, which is the
configured-credentials problem, not an install issue)
- SSH no-regression: SSH Claude still passes; the helper short-circuits
on non-sandbox targets
## Risks
Medium — adds a network/CPU cost (npm install / curl) on every fresh
sandbox lease. Cost is bounded (one-time per lease, typically tens of
seconds for npm globals), and the helper never throws so a failing
install still lets the report run resolvability and hello probes. If a
sandbox image already has the CLI, the install is an idempotent
reinstall.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 08:29:28 -07:00
|
|
|
options: { installCommand?: string | null } = {},
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
) {
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
if (target?.kind === "remote" && target.transport === "sandbox") {
|
Wire per-adapter sandbox install commands through test and execute paths (#5280)
> **Stacked PR.** Sits on top of the e2b sandbox chain — #5278 (stdin
staging) and #5279 (honest-resolvability + login-profiles). The
cumulative diff against `master` includes both of those PRs' content;
the files touched by *this* PR's commit are the new
`maybeRunSandboxInstallCommand` helper in
`packages/adapter-utils/src/execution-target.ts` and the per-adapter
`index.ts`/`server/test.ts`/`server/execute.ts` wiring under
`packages/adapters/{claude,codex,cursor,gemini,opencode,pi}-local/`. The
honest resolvability check from #5279 is what gives this PR's install
command a meaningful "did it actually land on PATH" follow-up.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Sandbox execution targets are ephemeral — each fresh lease starts
from a template image that may or may not have the agent CLIs
preinstalled
> - When a CLI isn't preinstalled, the resolvability probe fails at
`command -v` and the hello probe never runs
> - There's no shared mechanism for "before you probe or provision,
install the CLI on this sandbox"
> - This pull request adds a `SANDBOX_INSTALL_COMMAND` constant per
adapter and a `maybeRunSandboxInstallCommand` helper that runs it via
the existing sandbox login shell, captures structured output, and never
throws (so the resolvability + hello probe still run after); each
adapter's `test()` and `execute()` share the constant so the two
callsites can't drift
> - The benefit is a fresh sandbox lease without a preinstalled CLI now
installs it once via `sh -lc` before the resolvability probe and before
managed-runtime provisioning, with a uniform
`<adapter>_install_command_run` check on the test report
## What Changed
- `packages/adapter-utils/src/execution-target.ts`: add
`AdapterSandboxInstallCommandCheck` and `maybeRunSandboxInstallCommand`
(runs the install via existing sandbox shell, captures
exit/stdout/stderr, returns a structured info/warn check, never throws)
- Add `SANDBOX_INSTALL_COMMAND` to each adapter's `index.ts` so `test()`
and `execute()` share a single source of truth
- Wire each of the 6 affected adapter `testEnvironment()`s to call
`maybeRunSandboxInstallCommand` before
`ensureAdapterExecutionTargetCommandResolvable`
- Pass `installCommand: SANDBOX_INSTALL_COMMAND` through
`prepareAdapterExecutionTargetRuntime` in each adapter's `execute()`
- Per-adapter install commands use npm globals where possible so
binaries land on a PATH segment the template already exports:
- claude → `npm install -g @anthropic-ai/claude-code`
- codex → `npm install -g @openai/codex`
- cursor → `curl https://cursor.com/install -fsS | bash`
- gemini → `npm install -g @google/gemini-cli`
- opencode → `npm install -g opencode-ai`
- pi → `npm install -g @mariozechner/pi-coding-agent`
SSH and local targets ignore `installCommand` (SSH runtime takes no such
param; local short-circuits before runtime prep), so this is a no-op for
non-sandbox environments.
## Verification
- `pnpm typecheck` clean
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils`
and per-adapter projects pass
- Manual sandbox matrix (claude, codex, cursor, gemini, opencode, pi) —
each goes `install_command_run → resolvable → hello_probe_passed` (Codex
and Pi land on `hello_probe_auth_required`, which is the
configured-credentials problem, not an install issue)
- SSH no-regression: SSH Claude still passes; the helper short-circuits
on non-sandbox targets
## Risks
Medium — adds a network/CPU cost (npm install / curl) on every fresh
sandbox lease. Cost is bounded (one-time per lease, typically tens of
seconds for npm globals), and the helper never throws so a failing
install still lets the report run resolvability and hello probes. If a
sandbox image already has the CLI, the install is an idempotent
reinstall.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 08:29:28 -07:00
|
|
|
await ensureSandboxCommandResolvable(command, target, options.installCommand?.trim() || null);
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
return;
|
|
|
|
|
}
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
await ensureCommandResolvable(command, cwd, env, {
|
|
|
|
|
remoteExecution: adapterExecutionTargetToRemoteSpec(target),
|
|
|
|
|
});
|
|
|
|
|
}
|
|
|
|
|
|
Wire per-adapter sandbox install commands through test and execute paths (#5280)
> **Stacked PR.** Sits on top of the e2b sandbox chain — #5278 (stdin
staging) and #5279 (honest-resolvability + login-profiles). The
cumulative diff against `master` includes both of those PRs' content;
the files touched by *this* PR's commit are the new
`maybeRunSandboxInstallCommand` helper in
`packages/adapter-utils/src/execution-target.ts` and the per-adapter
`index.ts`/`server/test.ts`/`server/execute.ts` wiring under
`packages/adapters/{claude,codex,cursor,gemini,opencode,pi}-local/`. The
honest resolvability check from #5279 is what gives this PR's install
command a meaningful "did it actually land on PATH" follow-up.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Sandbox execution targets are ephemeral — each fresh lease starts
from a template image that may or may not have the agent CLIs
preinstalled
> - When a CLI isn't preinstalled, the resolvability probe fails at
`command -v` and the hello probe never runs
> - There's no shared mechanism for "before you probe or provision,
install the CLI on this sandbox"
> - This pull request adds a `SANDBOX_INSTALL_COMMAND` constant per
adapter and a `maybeRunSandboxInstallCommand` helper that runs it via
the existing sandbox login shell, captures structured output, and never
throws (so the resolvability + hello probe still run after); each
adapter's `test()` and `execute()` share the constant so the two
callsites can't drift
> - The benefit is a fresh sandbox lease without a preinstalled CLI now
installs it once via `sh -lc` before the resolvability probe and before
managed-runtime provisioning, with a uniform
`<adapter>_install_command_run` check on the test report
## What Changed
- `packages/adapter-utils/src/execution-target.ts`: add
`AdapterSandboxInstallCommandCheck` and `maybeRunSandboxInstallCommand`
(runs the install via existing sandbox shell, captures
exit/stdout/stderr, returns a structured info/warn check, never throws)
- Add `SANDBOX_INSTALL_COMMAND` to each adapter's `index.ts` so `test()`
and `execute()` share a single source of truth
- Wire each of the 6 affected adapter `testEnvironment()`s to call
`maybeRunSandboxInstallCommand` before
`ensureAdapterExecutionTargetCommandResolvable`
- Pass `installCommand: SANDBOX_INSTALL_COMMAND` through
`prepareAdapterExecutionTargetRuntime` in each adapter's `execute()`
- Per-adapter install commands use npm globals where possible so
binaries land on a PATH segment the template already exports:
- claude → `npm install -g @anthropic-ai/claude-code`
- codex → `npm install -g @openai/codex`
- cursor → `curl https://cursor.com/install -fsS | bash`
- gemini → `npm install -g @google/gemini-cli`
- opencode → `npm install -g opencode-ai`
- pi → `npm install -g @mariozechner/pi-coding-agent`
SSH and local targets ignore `installCommand` (SSH runtime takes no such
param; local short-circuits before runtime prep), so this is a no-op for
non-sandbox environments.
## Verification
- `pnpm typecheck` clean
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils`
and per-adapter projects pass
- Manual sandbox matrix (claude, codex, cursor, gemini, opencode, pi) —
each goes `install_command_run → resolvable → hello_probe_passed` (Codex
and Pi land on `hello_probe_auth_required`, which is the
configured-credentials problem, not an install issue)
- SSH no-regression: SSH Claude still passes; the helper short-circuits
on non-sandbox targets
## Risks
Medium — adds a network/CPU cost (npm install / curl) on every fresh
sandbox lease. Cost is bounded (one-time per lease, typically tens of
seconds for npm globals), and the helper never throws so a failing
install still lets the report run resolvability and hello probes. If a
sandbox image already has the CLI, the install is an idempotent
reinstall.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 08:29:28 -07:00
|
|
|
async function probeSandboxCommandResolvable(
|
|
|
|
|
command: string,
|
|
|
|
|
target: AdapterSandboxExecutionTarget,
|
|
|
|
|
): Promise<{ resolved: boolean; timedOut: boolean; stderr: string }> {
|
|
|
|
|
const runner = requireSandboxRunner(target);
|
|
|
|
|
const probeScript = `command -v ${shellQuote(command)}`;
|
|
|
|
|
const result = await runner.execute({
|
|
|
|
|
command: "sh",
|
|
|
|
|
args: ["-c", probeScript],
|
|
|
|
|
cwd: target.remoteCwd,
|
|
|
|
|
timeoutMs: target.timeoutMs ?? 15_000,
|
|
|
|
|
});
|
|
|
|
|
return {
|
|
|
|
|
resolved: !result.timedOut && (result.exitCode ?? 1) === 0,
|
|
|
|
|
timedOut: result.timedOut,
|
|
|
|
|
stderr: result.stderr.trim(),
|
|
|
|
|
};
|
|
|
|
|
}
|
|
|
|
|
|
Run a real command-v probe and source login profiles before exec in e2b sandboxes (#5279)
> **Stacked PR.** Sits on top of #5278 (`e2b/stage-stdin-to-temp-file`)
which ships the stdin-staging fix this builds on. The cumulative diff
against `master` includes that PR's content; the files touched by *this*
PR's commit are `packages/adapter-utils/src/execution-target.ts`,
`packages/plugins/sandbox-providers/e2b/src/plugin.ts`, and
`packages/plugins/sandbox-providers/e2b/src/plugin.test.ts`.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The adapter Test flow does an "is the command resolvable?" probe
before running the hello probe so the report distinguishes "binary not
installed" from "binary errored"
> - For sandbox targets, that resolvability check was a no-op
early-return — every sandboxed adapter test reported "Command is
executable" regardless of whether the binary existed
> - That made the resolvability check disagree with the hello probe in a
way that looked like a PATH bug, when it was actually a missing CLI
> - Separately, the e2b spawn used `sandbox.commands.run` with a
non-login non-interactive shell whose PATH did not include npm-globals,
nvm shims, or anything else the template installs via
`.profile`/`.bashrc`
> - This pull request makes the resolvability check honest by running a
real `command -v` invocation through the sandbox runner, and aligns the
e2b spawn with SSH by sourcing login profiles before `exec env KEY=val
<cmd>`
> - The benefit is the e2b sandbox spawn agrees with the hello probe and
finds CLIs at template-installed paths
## What Changed
- `packages/adapter-utils/src/execution-target.ts`: add
`ensureSandboxCommandResolvable` that runs `command -v <cli>` through
the sandbox runner; replace the early-return in
`ensureAdapterExecutionTargetCommandResolvable` for sandbox targets
- `packages/plugins/sandbox-providers/e2b/src/plugin.ts`: replace
`buildCommandLine` with `buildLoginShellScript` (sources `/etc/profile`,
`~/.profile`, `~/.bash_profile`, `~/.bashrc`, `~/.zprofile`, and nvm.sh
before `exec env KEY=val <cmd>`); env vars are interpolated inline so
user-configured adapter env always wins over profile-exported values;
drop the now-unused `envs:` SDK option
- `plugin.test.ts` updated for the login-shell wrapping
## Verification
- `pnpm vitest run --no-coverage --project @paperclipai/sandbox-e2b` —
17/17 plugin tests pass
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils`
clean
- `pnpm typecheck` clean
- Manual: previously every sandboxed adapter said "Command is
executable" then the hello probe failed with "exec: not found". After
this change, missing CLIs surface honestly at the resolvability step.
SSH no-regression: SSH Claude probe still passes.
## Risks
Medium — sandbox adapter Test reports will start failing at the
resolvability step for environments where the CLI was never actually
installed. This was always the real state; the previous "Command is
executable" message was incorrect. Operators should expect
previously-green-but-broken sandbox environments to report accurately.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable — `plugin.test.ts`
updated for the login-shell wrapping
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 08:21:37 -07:00
|
|
|
async function ensureSandboxCommandResolvable(
|
|
|
|
|
command: string,
|
|
|
|
|
target: AdapterSandboxExecutionTarget,
|
Wire per-adapter sandbox install commands through test and execute paths (#5280)
> **Stacked PR.** Sits on top of the e2b sandbox chain — #5278 (stdin
staging) and #5279 (honest-resolvability + login-profiles). The
cumulative diff against `master` includes both of those PRs' content;
the files touched by *this* PR's commit are the new
`maybeRunSandboxInstallCommand` helper in
`packages/adapter-utils/src/execution-target.ts` and the per-adapter
`index.ts`/`server/test.ts`/`server/execute.ts` wiring under
`packages/adapters/{claude,codex,cursor,gemini,opencode,pi}-local/`. The
honest resolvability check from #5279 is what gives this PR's install
command a meaningful "did it actually land on PATH" follow-up.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Sandbox execution targets are ephemeral — each fresh lease starts
from a template image that may or may not have the agent CLIs
preinstalled
> - When a CLI isn't preinstalled, the resolvability probe fails at
`command -v` and the hello probe never runs
> - There's no shared mechanism for "before you probe or provision,
install the CLI on this sandbox"
> - This pull request adds a `SANDBOX_INSTALL_COMMAND` constant per
adapter and a `maybeRunSandboxInstallCommand` helper that runs it via
the existing sandbox login shell, captures structured output, and never
throws (so the resolvability + hello probe still run after); each
adapter's `test()` and `execute()` share the constant so the two
callsites can't drift
> - The benefit is a fresh sandbox lease without a preinstalled CLI now
installs it once via `sh -lc` before the resolvability probe and before
managed-runtime provisioning, with a uniform
`<adapter>_install_command_run` check on the test report
## What Changed
- `packages/adapter-utils/src/execution-target.ts`: add
`AdapterSandboxInstallCommandCheck` and `maybeRunSandboxInstallCommand`
(runs the install via existing sandbox shell, captures
exit/stdout/stderr, returns a structured info/warn check, never throws)
- Add `SANDBOX_INSTALL_COMMAND` to each adapter's `index.ts` so `test()`
and `execute()` share a single source of truth
- Wire each of the 6 affected adapter `testEnvironment()`s to call
`maybeRunSandboxInstallCommand` before
`ensureAdapterExecutionTargetCommandResolvable`
- Pass `installCommand: SANDBOX_INSTALL_COMMAND` through
`prepareAdapterExecutionTargetRuntime` in each adapter's `execute()`
- Per-adapter install commands use npm globals where possible so
binaries land on a PATH segment the template already exports:
- claude → `npm install -g @anthropic-ai/claude-code`
- codex → `npm install -g @openai/codex`
- cursor → `curl https://cursor.com/install -fsS | bash`
- gemini → `npm install -g @google/gemini-cli`
- opencode → `npm install -g opencode-ai`
- pi → `npm install -g @mariozechner/pi-coding-agent`
SSH and local targets ignore `installCommand` (SSH runtime takes no such
param; local short-circuits before runtime prep), so this is a no-op for
non-sandbox environments.
## Verification
- `pnpm typecheck` clean
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils`
and per-adapter projects pass
- Manual sandbox matrix (claude, codex, cursor, gemini, opencode, pi) —
each goes `install_command_run → resolvable → hello_probe_passed` (Codex
and Pi land on `hello_probe_auth_required`, which is the
configured-credentials problem, not an install issue)
- SSH no-regression: SSH Claude still passes; the helper short-circuits
on non-sandbox targets
## Risks
Medium — adds a network/CPU cost (npm install / curl) on every fresh
sandbox lease. Cost is bounded (one-time per lease, typically tens of
seconds for npm globals), and the helper never throws so a failing
install still lets the report run resolvability and hello probes. If a
sandbox image already has the CLI, the install is an idempotent
reinstall.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 08:29:28 -07:00
|
|
|
installCommand: string | null,
|
Run a real command-v probe and source login profiles before exec in e2b sandboxes (#5279)
> **Stacked PR.** Sits on top of #5278 (`e2b/stage-stdin-to-temp-file`)
which ships the stdin-staging fix this builds on. The cumulative diff
against `master` includes that PR's content; the files touched by *this*
PR's commit are `packages/adapter-utils/src/execution-target.ts`,
`packages/plugins/sandbox-providers/e2b/src/plugin.ts`, and
`packages/plugins/sandbox-providers/e2b/src/plugin.test.ts`.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The adapter Test flow does an "is the command resolvable?" probe
before running the hello probe so the report distinguishes "binary not
installed" from "binary errored"
> - For sandbox targets, that resolvability check was a no-op
early-return — every sandboxed adapter test reported "Command is
executable" regardless of whether the binary existed
> - That made the resolvability check disagree with the hello probe in a
way that looked like a PATH bug, when it was actually a missing CLI
> - Separately, the e2b spawn used `sandbox.commands.run` with a
non-login non-interactive shell whose PATH did not include npm-globals,
nvm shims, or anything else the template installs via
`.profile`/`.bashrc`
> - This pull request makes the resolvability check honest by running a
real `command -v` invocation through the sandbox runner, and aligns the
e2b spawn with SSH by sourcing login profiles before `exec env KEY=val
<cmd>`
> - The benefit is the e2b sandbox spawn agrees with the hello probe and
finds CLIs at template-installed paths
## What Changed
- `packages/adapter-utils/src/execution-target.ts`: add
`ensureSandboxCommandResolvable` that runs `command -v <cli>` through
the sandbox runner; replace the early-return in
`ensureAdapterExecutionTargetCommandResolvable` for sandbox targets
- `packages/plugins/sandbox-providers/e2b/src/plugin.ts`: replace
`buildCommandLine` with `buildLoginShellScript` (sources `/etc/profile`,
`~/.profile`, `~/.bash_profile`, `~/.bashrc`, `~/.zprofile`, and nvm.sh
before `exec env KEY=val <cmd>`); env vars are interpolated inline so
user-configured adapter env always wins over profile-exported values;
drop the now-unused `envs:` SDK option
- `plugin.test.ts` updated for the login-shell wrapping
## Verification
- `pnpm vitest run --no-coverage --project @paperclipai/sandbox-e2b` —
17/17 plugin tests pass
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils`
clean
- `pnpm typecheck` clean
- Manual: previously every sandboxed adapter said "Command is
executable" then the hello probe failed with "exec: not found". After
this change, missing CLIs surface honestly at the resolvability step.
SSH no-regression: SSH Claude probe still passes.
## Risks
Medium — sandbox adapter Test reports will start failing at the
resolvability step for environments where the CLI was never actually
installed. This was always the real state; the previous "Command is
executable" message was incorrect. Operators should expect
previously-green-but-broken sandbox environments to report accurately.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable — `plugin.test.ts`
updated for the login-shell wrapping
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 08:21:37 -07:00
|
|
|
): Promise<void> {
|
|
|
|
|
// Probe whether the binary is resolvable inside the sandbox. We previously
|
|
|
|
|
// short-circuited this for sandbox targets, which let the caller report a
|
|
|
|
|
// success message even when the CLI was missing from the image. Now we run
|
|
|
|
|
// a real `command -v` through the same runner the hello probe will use, so
|
|
|
|
|
// the first step honestly reflects whether the binary is on PATH. The
|
|
|
|
|
// sandbox provider is responsible for sourcing login profiles (e2b mirrors
|
|
|
|
|
// SSH's buildSshSpawnTarget) so this and the hello probe agree on PATH.
|
Wire per-adapter sandbox install commands through test and execute paths (#5280)
> **Stacked PR.** Sits on top of the e2b sandbox chain — #5278 (stdin
staging) and #5279 (honest-resolvability + login-profiles). The
cumulative diff against `master` includes both of those PRs' content;
the files touched by *this* PR's commit are the new
`maybeRunSandboxInstallCommand` helper in
`packages/adapter-utils/src/execution-target.ts` and the per-adapter
`index.ts`/`server/test.ts`/`server/execute.ts` wiring under
`packages/adapters/{claude,codex,cursor,gemini,opencode,pi}-local/`. The
honest resolvability check from #5279 is what gives this PR's install
command a meaningful "did it actually land on PATH" follow-up.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Sandbox execution targets are ephemeral — each fresh lease starts
from a template image that may or may not have the agent CLIs
preinstalled
> - When a CLI isn't preinstalled, the resolvability probe fails at
`command -v` and the hello probe never runs
> - There's no shared mechanism for "before you probe or provision,
install the CLI on this sandbox"
> - This pull request adds a `SANDBOX_INSTALL_COMMAND` constant per
adapter and a `maybeRunSandboxInstallCommand` helper that runs it via
the existing sandbox login shell, captures structured output, and never
throws (so the resolvability + hello probe still run after); each
adapter's `test()` and `execute()` share the constant so the two
callsites can't drift
> - The benefit is a fresh sandbox lease without a preinstalled CLI now
installs it once via `sh -lc` before the resolvability probe and before
managed-runtime provisioning, with a uniform
`<adapter>_install_command_run` check on the test report
## What Changed
- `packages/adapter-utils/src/execution-target.ts`: add
`AdapterSandboxInstallCommandCheck` and `maybeRunSandboxInstallCommand`
(runs the install via existing sandbox shell, captures
exit/stdout/stderr, returns a structured info/warn check, never throws)
- Add `SANDBOX_INSTALL_COMMAND` to each adapter's `index.ts` so `test()`
and `execute()` share a single source of truth
- Wire each of the 6 affected adapter `testEnvironment()`s to call
`maybeRunSandboxInstallCommand` before
`ensureAdapterExecutionTargetCommandResolvable`
- Pass `installCommand: SANDBOX_INSTALL_COMMAND` through
`prepareAdapterExecutionTargetRuntime` in each adapter's `execute()`
- Per-adapter install commands use npm globals where possible so
binaries land on a PATH segment the template already exports:
- claude → `npm install -g @anthropic-ai/claude-code`
- codex → `npm install -g @openai/codex`
- cursor → `curl https://cursor.com/install -fsS | bash`
- gemini → `npm install -g @google/gemini-cli`
- opencode → `npm install -g opencode-ai`
- pi → `npm install -g @mariozechner/pi-coding-agent`
SSH and local targets ignore `installCommand` (SSH runtime takes no such
param; local short-circuits before runtime prep), so this is a no-op for
non-sandbox environments.
## Verification
- `pnpm typecheck` clean
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils`
and per-adapter projects pass
- Manual sandbox matrix (claude, codex, cursor, gemini, opencode, pi) —
each goes `install_command_run → resolvable → hello_probe_passed` (Codex
and Pi land on `hello_probe_auth_required`, which is the
configured-credentials problem, not an install issue)
- SSH no-regression: SSH Claude still passes; the helper short-circuits
on non-sandbox targets
## Risks
Medium — adds a network/CPU cost (npm install / curl) on every fresh
sandbox lease. Cost is bounded (one-time per lease, typically tens of
seconds for npm globals), and the helper never throws so a failing
install still lets the report run resolvability and hello probes. If a
sandbox image already has the CLI, the install is an idempotent
reinstall.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 08:29:28 -07:00
|
|
|
let probe = await probeSandboxCommandResolvable(command, target);
|
|
|
|
|
if (probe.resolved) return;
|
|
|
|
|
if (probe.timedOut) {
|
Run a real command-v probe and source login profiles before exec in e2b sandboxes (#5279)
> **Stacked PR.** Sits on top of #5278 (`e2b/stage-stdin-to-temp-file`)
which ships the stdin-staging fix this builds on. The cumulative diff
against `master` includes that PR's content; the files touched by *this*
PR's commit are `packages/adapter-utils/src/execution-target.ts`,
`packages/plugins/sandbox-providers/e2b/src/plugin.ts`, and
`packages/plugins/sandbox-providers/e2b/src/plugin.test.ts`.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The adapter Test flow does an "is the command resolvable?" probe
before running the hello probe so the report distinguishes "binary not
installed" from "binary errored"
> - For sandbox targets, that resolvability check was a no-op
early-return — every sandboxed adapter test reported "Command is
executable" regardless of whether the binary existed
> - That made the resolvability check disagree with the hello probe in a
way that looked like a PATH bug, when it was actually a missing CLI
> - Separately, the e2b spawn used `sandbox.commands.run` with a
non-login non-interactive shell whose PATH did not include npm-globals,
nvm shims, or anything else the template installs via
`.profile`/`.bashrc`
> - This pull request makes the resolvability check honest by running a
real `command -v` invocation through the sandbox runner, and aligns the
e2b spawn with SSH by sourcing login profiles before `exec env KEY=val
<cmd>`
> - The benefit is the e2b sandbox spawn agrees with the hello probe and
finds CLIs at template-installed paths
## What Changed
- `packages/adapter-utils/src/execution-target.ts`: add
`ensureSandboxCommandResolvable` that runs `command -v <cli>` through
the sandbox runner; replace the early-return in
`ensureAdapterExecutionTargetCommandResolvable` for sandbox targets
- `packages/plugins/sandbox-providers/e2b/src/plugin.ts`: replace
`buildCommandLine` with `buildLoginShellScript` (sources `/etc/profile`,
`~/.profile`, `~/.bash_profile`, `~/.bashrc`, `~/.zprofile`, and nvm.sh
before `exec env KEY=val <cmd>`); env vars are interpolated inline so
user-configured adapter env always wins over profile-exported values;
drop the now-unused `envs:` SDK option
- `plugin.test.ts` updated for the login-shell wrapping
## Verification
- `pnpm vitest run --no-coverage --project @paperclipai/sandbox-e2b` —
17/17 plugin tests pass
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils`
clean
- `pnpm typecheck` clean
- Manual: previously every sandboxed adapter said "Command is
executable" then the hello probe failed with "exec: not found". After
this change, missing CLIs surface honestly at the resolvability step.
SSH no-regression: SSH Claude probe still passes.
## Risks
Medium — sandbox adapter Test reports will start failing at the
resolvability step for environments where the CLI was never actually
installed. This was always the real state; the previous "Command is
executable" message was incorrect. Operators should expect
previously-green-but-broken sandbox environments to report accurately.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable — `plugin.test.ts`
updated for the login-shell wrapping
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 08:21:37 -07:00
|
|
|
throw new Error(`Timed out checking command "${command}" on sandbox target.`);
|
|
|
|
|
}
|
Wire per-adapter sandbox install commands through test and execute paths (#5280)
> **Stacked PR.** Sits on top of the e2b sandbox chain — #5278 (stdin
staging) and #5279 (honest-resolvability + login-profiles). The
cumulative diff against `master` includes both of those PRs' content;
the files touched by *this* PR's commit are the new
`maybeRunSandboxInstallCommand` helper in
`packages/adapter-utils/src/execution-target.ts` and the per-adapter
`index.ts`/`server/test.ts`/`server/execute.ts` wiring under
`packages/adapters/{claude,codex,cursor,gemini,opencode,pi}-local/`. The
honest resolvability check from #5279 is what gives this PR's install
command a meaningful "did it actually land on PATH" follow-up.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Sandbox execution targets are ephemeral — each fresh lease starts
from a template image that may or may not have the agent CLIs
preinstalled
> - When a CLI isn't preinstalled, the resolvability probe fails at
`command -v` and the hello probe never runs
> - There's no shared mechanism for "before you probe or provision,
install the CLI on this sandbox"
> - This pull request adds a `SANDBOX_INSTALL_COMMAND` constant per
adapter and a `maybeRunSandboxInstallCommand` helper that runs it via
the existing sandbox login shell, captures structured output, and never
throws (so the resolvability + hello probe still run after); each
adapter's `test()` and `execute()` share the constant so the two
callsites can't drift
> - The benefit is a fresh sandbox lease without a preinstalled CLI now
installs it once via `sh -lc` before the resolvability probe and before
managed-runtime provisioning, with a uniform
`<adapter>_install_command_run` check on the test report
## What Changed
- `packages/adapter-utils/src/execution-target.ts`: add
`AdapterSandboxInstallCommandCheck` and `maybeRunSandboxInstallCommand`
(runs the install via existing sandbox shell, captures
exit/stdout/stderr, returns a structured info/warn check, never throws)
- Add `SANDBOX_INSTALL_COMMAND` to each adapter's `index.ts` so `test()`
and `execute()` share a single source of truth
- Wire each of the 6 affected adapter `testEnvironment()`s to call
`maybeRunSandboxInstallCommand` before
`ensureAdapterExecutionTargetCommandResolvable`
- Pass `installCommand: SANDBOX_INSTALL_COMMAND` through
`prepareAdapterExecutionTargetRuntime` in each adapter's `execute()`
- Per-adapter install commands use npm globals where possible so
binaries land on a PATH segment the template already exports:
- claude → `npm install -g @anthropic-ai/claude-code`
- codex → `npm install -g @openai/codex`
- cursor → `curl https://cursor.com/install -fsS | bash`
- gemini → `npm install -g @google/gemini-cli`
- opencode → `npm install -g opencode-ai`
- pi → `npm install -g @mariozechner/pi-coding-agent`
SSH and local targets ignore `installCommand` (SSH runtime takes no such
param; local short-circuits before runtime prep), so this is a no-op for
non-sandbox environments.
## Verification
- `pnpm typecheck` clean
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils`
and per-adapter projects pass
- Manual sandbox matrix (claude, codex, cursor, gemini, opencode, pi) —
each goes `install_command_run → resolvable → hello_probe_passed` (Codex
and Pi land on `hello_probe_auth_required`, which is the
configured-credentials problem, not an install issue)
- SSH no-regression: SSH Claude still passes; the helper short-circuits
on non-sandbox targets
## Risks
Medium — adds a network/CPU cost (npm install / curl) on every fresh
sandbox lease. Cost is bounded (one-time per lease, typically tens of
seconds for npm globals), and the helper never throws so a failing
install still lets the report run resolvability and hello probes. If a
sandbox image already has the CLI, the install is an idempotent
reinstall.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 08:29:28 -07:00
|
|
|
|
|
|
|
|
// If the caller supplied an install command, attempt the install once via
|
|
|
|
|
// the sandbox runner (which the sandbox provider wraps in a login shell)
|
|
|
|
|
// and re-probe before reporting failure. This lets fresh sandbox leases
|
|
|
|
|
// bring up the CLI before the resolvability gate, mirroring the test path.
|
|
|
|
|
let installFailureDetail: string | null = null;
|
|
|
|
|
if (installCommand) {
|
|
|
|
|
const runner = requireSandboxRunner(target);
|
|
|
|
|
try {
|
|
|
|
|
const installResult = await runner.execute({
|
|
|
|
|
command: "sh",
|
Add secrets provider vaults and remote import (#5429)
## Thinking Path
> - Paperclip orchestrates AI-agent companies and needs secrets handling
to work across local development, hosted operators, and governed agent
execution.
> - The affected subsystem is the company-scoped secrets control plane:
database schema, server services/routes, CLI workflows, and the Secrets
settings UI.
> - The gap was that secrets were local-only and operators could not
manage provider vaults or import existing remote references without
exposing plaintext.
> - This branch adds provider vault configuration plus an AWS Secrets
Manager remote-import path while preserving company boundaries, binding
context, and audit trails.
> - I kept the PR to a single branch PR, removed unrelated
lockfile/package drift, rebased the full branch onto the current
`public-gh/master`, and addressed fresh Greptile findings.
> - The benefit is a reviewable implementation of provider-backed
secrets with focused tests covering provider selection, import
conflicts, deleted secret reuse, rotation guards, and AWS signing
behavior.
## What Changed
- Added provider vault support for company secrets, including provider
config storage, default vault handling, health checks, binding usage,
access events, and remote import preview/commit.
- Added an AWS Secrets Manager provider using SigV4 request signing,
bounded request timeouts, namespace guardrails, cached runtime
credential resolution, and external-reference linking without plaintext
reads.
- Added Secrets UI surfaces for vault management and remote import, plus
CLI/API documentation for setup and operations.
- Stabilized routine webhook secret binding paths and SSH
environment-driver fixture bindings discovered during verification.
- Addressed Greptile and CI findings: no lockfile/package drift,
monotonic migration metadata, disabled-vault default races, soft-deleted
secret hiding/recreate behavior, remove behavior with disabled vaults,
soft-deleted external-reference re-import, non-active rotation guards,
managed-secret soft deletion through PATCH, and per-call AWS SDK
credential client churn.
- Rebased this branch onto `public-gh/master` at `0e1a5828` and
force-pushed with lease to keep this as the single PR for the branch.
## Verification
- `git fetch public-gh master`
- `git rebase public-gh/master`
- `git diff --name-only public-gh/master...HEAD | grep
'^pnpm-lock\.yaml$' || true` confirmed `pnpm-lock.yaml` is not in the PR
diff.
- Confirmed migration ordering: master ends at `0081_optimal_dormammu`;
this PR adds `0082_dry_vision` and
`0083_company_secret_provider_configs`.
- Inspected migrations for repeat safety: new tables/indexes use `IF NOT
EXISTS`; foreign keys are guarded by `DO $$ ... IF NOT EXISTS`; column
additions use `ADD COLUMN IF NOT EXISTS`.
- `pnpm -r typecheck` passed before the Greptile follow-up commits.
- `pnpm test:run` ran the full stable Vitest path before the Greptile
follow-up commits; it completed with 3 timing-related failures under
parallel load: `codex-local-execute.test.ts`,
`cursor-local-execute.test.ts`, and `environment-service.test.ts`.
- `pnpm --filter @paperclipai/server exec vitest run
src/__tests__/codex-local-execute.test.ts
src/__tests__/cursor-local-execute.test.ts
src/__tests__/environment-service.test.ts` passed on targeted rerun
(`24/24`).
- `pnpm build` passed before the Greptile follow-up commits. Vite
reported existing chunk-size/dynamic-import warnings.
- After Greptile follow-up commits: `pnpm --filter @paperclipai/server
exec vitest run src/__tests__/secrets-service.test.ts` passed (`26/26`).
- After Greptile follow-up commits: `pnpm --filter @paperclipai/server
exec vitest run src/__tests__/aws-secrets-manager-provider.test.ts
src/__tests__/secrets-service.test.ts` passed (`39/39`).
- After Greptile follow-up commits: `pnpm --filter @paperclipai/server
typecheck` passed.
- Captured Storybook screenshots from `ui/storybook-static` for visual
review.
- Latest PR checks on `5ca3a5cf`: `policy`, serialized server suites
1/4-4/4, `Canary Dry Run`, `e2e`, `security/snyk`, and `Greptile Review`
pass; aggregate `verify` is still registering the completed child
checks.
- Greptile review loop continued through the latest requested pass; all
Greptile review threads are resolved and the latest `Greptile Review`
check on `5ca3a5cf` passed with 0 comments added.
## Screenshots
Before: the provider-vault and remote-import surfaces did not exist on
`master`; these are after-state screenshots from the Storybook fixtures.



## Risks
- Migration risk: this adds new secret provider tables and extends
existing secret rows. The migrations were checked for monotonic ordering
and idempotent guards, but reviewers should still inspect upgrade
behavior carefully.
- Provider risk: AWS support uses direct SigV4 requests. Automated tests
cover signing, request timeouts, vault-config selection, namespace
guardrails, pending-version archival, sanitized provider errors, and
service-level cleanup paths. A real-vault AWS smoke test remains
deployment validation for an operator with AWS credentials rather than
an unverified merge blocker in this local branch.
- UI risk: the Secrets page and import dialog are large new surfaces;
screenshots are included above for reviewer inspection.
- Verification risk: the full local stable test command hit
parallel-load timing failures, although the exact failed files passed
when rerun directly.
- Operational risk: remote import intentionally avoids plaintext reads;
operators must understand that imported external references resolve at
runtime and may fail if AWS permissions change.
> For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and
discuss it in `#dev` before opening the PR. Feature PRs that overlap
with planned core work may need to be redirected — check the roadmap
first. See `CONTRIBUTING.md`.
## Model Used
- OpenAI Codex, GPT-5 coding agent with local shell/tool use in the
Paperclip worktree. Exact context-window size was not exposed by the
runtime.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [ ] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
---------
Co-authored-by: Paperclip <noreply@paperclip.ing>
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-09 18:22:17 -05:00
|
|
|
args: shellCommandArgs(installCommand),
|
Wire per-adapter sandbox install commands through test and execute paths (#5280)
> **Stacked PR.** Sits on top of the e2b sandbox chain — #5278 (stdin
staging) and #5279 (honest-resolvability + login-profiles). The
cumulative diff against `master` includes both of those PRs' content;
the files touched by *this* PR's commit are the new
`maybeRunSandboxInstallCommand` helper in
`packages/adapter-utils/src/execution-target.ts` and the per-adapter
`index.ts`/`server/test.ts`/`server/execute.ts` wiring under
`packages/adapters/{claude,codex,cursor,gemini,opencode,pi}-local/`. The
honest resolvability check from #5279 is what gives this PR's install
command a meaningful "did it actually land on PATH" follow-up.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Sandbox execution targets are ephemeral — each fresh lease starts
from a template image that may or may not have the agent CLIs
preinstalled
> - When a CLI isn't preinstalled, the resolvability probe fails at
`command -v` and the hello probe never runs
> - There's no shared mechanism for "before you probe or provision,
install the CLI on this sandbox"
> - This pull request adds a `SANDBOX_INSTALL_COMMAND` constant per
adapter and a `maybeRunSandboxInstallCommand` helper that runs it via
the existing sandbox login shell, captures structured output, and never
throws (so the resolvability + hello probe still run after); each
adapter's `test()` and `execute()` share the constant so the two
callsites can't drift
> - The benefit is a fresh sandbox lease without a preinstalled CLI now
installs it once via `sh -lc` before the resolvability probe and before
managed-runtime provisioning, with a uniform
`<adapter>_install_command_run` check on the test report
## What Changed
- `packages/adapter-utils/src/execution-target.ts`: add
`AdapterSandboxInstallCommandCheck` and `maybeRunSandboxInstallCommand`
(runs the install via existing sandbox shell, captures
exit/stdout/stderr, returns a structured info/warn check, never throws)
- Add `SANDBOX_INSTALL_COMMAND` to each adapter's `index.ts` so `test()`
and `execute()` share a single source of truth
- Wire each of the 6 affected adapter `testEnvironment()`s to call
`maybeRunSandboxInstallCommand` before
`ensureAdapterExecutionTargetCommandResolvable`
- Pass `installCommand: SANDBOX_INSTALL_COMMAND` through
`prepareAdapterExecutionTargetRuntime` in each adapter's `execute()`
- Per-adapter install commands use npm globals where possible so
binaries land on a PATH segment the template already exports:
- claude → `npm install -g @anthropic-ai/claude-code`
- codex → `npm install -g @openai/codex`
- cursor → `curl https://cursor.com/install -fsS | bash`
- gemini → `npm install -g @google/gemini-cli`
- opencode → `npm install -g opencode-ai`
- pi → `npm install -g @mariozechner/pi-coding-agent`
SSH and local targets ignore `installCommand` (SSH runtime takes no such
param; local short-circuits before runtime prep), so this is a no-op for
non-sandbox environments.
## Verification
- `pnpm typecheck` clean
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils`
and per-adapter projects pass
- Manual sandbox matrix (claude, codex, cursor, gemini, opencode, pi) —
each goes `install_command_run → resolvable → hello_probe_passed` (Codex
and Pi land on `hello_probe_auth_required`, which is the
configured-credentials problem, not an install issue)
- SSH no-regression: SSH Claude still passes; the helper short-circuits
on non-sandbox targets
## Risks
Medium — adds a network/CPU cost (npm install / curl) on every fresh
sandbox lease. Cost is bounded (one-time per lease, typically tens of
seconds for npm globals), and the helper never throws so a failing
install still lets the report run resolvability and hello probes. If a
sandbox image already has the CLI, the install is an idempotent
reinstall.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 08:29:28 -07:00
|
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cwd: target.remoteCwd,
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timeoutMs: target.timeoutMs ?? 300_000,
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});
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if (installResult.timedOut) {
|
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installFailureDetail = `install command timed out: ${installCommand}`;
|
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} else if ((installResult.exitCode ?? 0) !== 0) {
|
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const tail = (text: string) =>
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text.split(/\r?\n/).filter((line) => line.trim().length > 0).slice(-2).join(" | ").slice(0, 240);
|
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const reason = tail(installResult.stderr || installResult.stdout) || `exit ${installResult.exitCode ?? "?"}`;
|
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installFailureDetail = `install command exited ${installResult.exitCode ?? "?"}: ${reason}`;
|
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}
|
|
|
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} catch (err) {
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installFailureDetail = `install command threw: ${err instanceof Error ? err.message : String(err)}`;
|
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|
}
|
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probe = await probeSandboxCommandResolvable(command, target);
|
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if (probe.resolved) return;
|
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if (probe.timedOut) {
|
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|
throw new Error(`Timed out checking command "${command}" on sandbox target.`);
|
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}
|
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}
|
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const probeStderr = probe.stderr.length > 0 ? ` probe stderr: ${probe.stderr}` : "";
|
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const installDetail = installFailureDetail ? `; ${installFailureDetail}` : "";
|
Run a real command-v probe and source login profiles before exec in e2b sandboxes (#5279)
> **Stacked PR.** Sits on top of #5278 (`e2b/stage-stdin-to-temp-file`)
which ships the stdin-staging fix this builds on. The cumulative diff
against `master` includes that PR's content; the files touched by *this*
PR's commit are `packages/adapter-utils/src/execution-target.ts`,
`packages/plugins/sandbox-providers/e2b/src/plugin.ts`, and
`packages/plugins/sandbox-providers/e2b/src/plugin.test.ts`.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The adapter Test flow does an "is the command resolvable?" probe
before running the hello probe so the report distinguishes "binary not
installed" from "binary errored"
> - For sandbox targets, that resolvability check was a no-op
early-return — every sandboxed adapter test reported "Command is
executable" regardless of whether the binary existed
> - That made the resolvability check disagree with the hello probe in a
way that looked like a PATH bug, when it was actually a missing CLI
> - Separately, the e2b spawn used `sandbox.commands.run` with a
non-login non-interactive shell whose PATH did not include npm-globals,
nvm shims, or anything else the template installs via
`.profile`/`.bashrc`
> - This pull request makes the resolvability check honest by running a
real `command -v` invocation through the sandbox runner, and aligns the
e2b spawn with SSH by sourcing login profiles before `exec env KEY=val
<cmd>`
> - The benefit is the e2b sandbox spawn agrees with the hello probe and
finds CLIs at template-installed paths
## What Changed
- `packages/adapter-utils/src/execution-target.ts`: add
`ensureSandboxCommandResolvable` that runs `command -v <cli>` through
the sandbox runner; replace the early-return in
`ensureAdapterExecutionTargetCommandResolvable` for sandbox targets
- `packages/plugins/sandbox-providers/e2b/src/plugin.ts`: replace
`buildCommandLine` with `buildLoginShellScript` (sources `/etc/profile`,
`~/.profile`, `~/.bash_profile`, `~/.bashrc`, `~/.zprofile`, and nvm.sh
before `exec env KEY=val <cmd>`); env vars are interpolated inline so
user-configured adapter env always wins over profile-exported values;
drop the now-unused `envs:` SDK option
- `plugin.test.ts` updated for the login-shell wrapping
## Verification
- `pnpm vitest run --no-coverage --project @paperclipai/sandbox-e2b` —
17/17 plugin tests pass
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils`
clean
- `pnpm typecheck` clean
- Manual: previously every sandboxed adapter said "Command is
executable" then the hello probe failed with "exec: not found". After
this change, missing CLIs surface honestly at the resolvability step.
SSH no-regression: SSH Claude probe still passes.
## Risks
Medium — sandbox adapter Test reports will start failing at the
resolvability step for environments where the CLI was never actually
installed. This was always the real state; the previous "Command is
executable" message was incorrect. Operators should expect
previously-green-but-broken sandbox environments to report accurately.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable — `plugin.test.ts`
updated for the login-shell wrapping
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 08:21:37 -07:00
|
|
|
throw new Error(
|
Wire per-adapter sandbox install commands through test and execute paths (#5280)
> **Stacked PR.** Sits on top of the e2b sandbox chain — #5278 (stdin
staging) and #5279 (honest-resolvability + login-profiles). The
cumulative diff against `master` includes both of those PRs' content;
the files touched by *this* PR's commit are the new
`maybeRunSandboxInstallCommand` helper in
`packages/adapter-utils/src/execution-target.ts` and the per-adapter
`index.ts`/`server/test.ts`/`server/execute.ts` wiring under
`packages/adapters/{claude,codex,cursor,gemini,opencode,pi}-local/`. The
honest resolvability check from #5279 is what gives this PR's install
command a meaningful "did it actually land on PATH" follow-up.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Sandbox execution targets are ephemeral — each fresh lease starts
from a template image that may or may not have the agent CLIs
preinstalled
> - When a CLI isn't preinstalled, the resolvability probe fails at
`command -v` and the hello probe never runs
> - There's no shared mechanism for "before you probe or provision,
install the CLI on this sandbox"
> - This pull request adds a `SANDBOX_INSTALL_COMMAND` constant per
adapter and a `maybeRunSandboxInstallCommand` helper that runs it via
the existing sandbox login shell, captures structured output, and never
throws (so the resolvability + hello probe still run after); each
adapter's `test()` and `execute()` share the constant so the two
callsites can't drift
> - The benefit is a fresh sandbox lease without a preinstalled CLI now
installs it once via `sh -lc` before the resolvability probe and before
managed-runtime provisioning, with a uniform
`<adapter>_install_command_run` check on the test report
## What Changed
- `packages/adapter-utils/src/execution-target.ts`: add
`AdapterSandboxInstallCommandCheck` and `maybeRunSandboxInstallCommand`
(runs the install via existing sandbox shell, captures
exit/stdout/stderr, returns a structured info/warn check, never throws)
- Add `SANDBOX_INSTALL_COMMAND` to each adapter's `index.ts` so `test()`
and `execute()` share a single source of truth
- Wire each of the 6 affected adapter `testEnvironment()`s to call
`maybeRunSandboxInstallCommand` before
`ensureAdapterExecutionTargetCommandResolvable`
- Pass `installCommand: SANDBOX_INSTALL_COMMAND` through
`prepareAdapterExecutionTargetRuntime` in each adapter's `execute()`
- Per-adapter install commands use npm globals where possible so
binaries land on a PATH segment the template already exports:
- claude → `npm install -g @anthropic-ai/claude-code`
- codex → `npm install -g @openai/codex`
- cursor → `curl https://cursor.com/install -fsS | bash`
- gemini → `npm install -g @google/gemini-cli`
- opencode → `npm install -g opencode-ai`
- pi → `npm install -g @mariozechner/pi-coding-agent`
SSH and local targets ignore `installCommand` (SSH runtime takes no such
param; local short-circuits before runtime prep), so this is a no-op for
non-sandbox environments.
## Verification
- `pnpm typecheck` clean
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils`
and per-adapter projects pass
- Manual sandbox matrix (claude, codex, cursor, gemini, opencode, pi) —
each goes `install_command_run → resolvable → hello_probe_passed` (Codex
and Pi land on `hello_probe_auth_required`, which is the
configured-credentials problem, not an install issue)
- SSH no-regression: SSH Claude still passes; the helper short-circuits
on non-sandbox targets
## Risks
Medium — adds a network/CPU cost (npm install / curl) on every fresh
sandbox lease. Cost is bounded (one-time per lease, typically tens of
seconds for npm globals), and the helper never throws so a failing
install still lets the report run resolvability and hello probes. If a
sandbox image already has the CLI, the install is an idempotent
reinstall.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 08:29:28 -07:00
|
|
|
`Command "${command}" is not installed or not on PATH in the sandbox environment${installDetail}.${probeStderr}`,
|
Run a real command-v probe and source login profiles before exec in e2b sandboxes (#5279)
> **Stacked PR.** Sits on top of #5278 (`e2b/stage-stdin-to-temp-file`)
which ships the stdin-staging fix this builds on. The cumulative diff
against `master` includes that PR's content; the files touched by *this*
PR's commit are `packages/adapter-utils/src/execution-target.ts`,
`packages/plugins/sandbox-providers/e2b/src/plugin.ts`, and
`packages/plugins/sandbox-providers/e2b/src/plugin.test.ts`.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The adapter Test flow does an "is the command resolvable?" probe
before running the hello probe so the report distinguishes "binary not
installed" from "binary errored"
> - For sandbox targets, that resolvability check was a no-op
early-return — every sandboxed adapter test reported "Command is
executable" regardless of whether the binary existed
> - That made the resolvability check disagree with the hello probe in a
way that looked like a PATH bug, when it was actually a missing CLI
> - Separately, the e2b spawn used `sandbox.commands.run` with a
non-login non-interactive shell whose PATH did not include npm-globals,
nvm shims, or anything else the template installs via
`.profile`/`.bashrc`
> - This pull request makes the resolvability check honest by running a
real `command -v` invocation through the sandbox runner, and aligns the
e2b spawn with SSH by sourcing login profiles before `exec env KEY=val
<cmd>`
> - The benefit is the e2b sandbox spawn agrees with the hello probe and
finds CLIs at template-installed paths
## What Changed
- `packages/adapter-utils/src/execution-target.ts`: add
`ensureSandboxCommandResolvable` that runs `command -v <cli>` through
the sandbox runner; replace the early-return in
`ensureAdapterExecutionTargetCommandResolvable` for sandbox targets
- `packages/plugins/sandbox-providers/e2b/src/plugin.ts`: replace
`buildCommandLine` with `buildLoginShellScript` (sources `/etc/profile`,
`~/.profile`, `~/.bash_profile`, `~/.bashrc`, `~/.zprofile`, and nvm.sh
before `exec env KEY=val <cmd>`); env vars are interpolated inline so
user-configured adapter env always wins over profile-exported values;
drop the now-unused `envs:` SDK option
- `plugin.test.ts` updated for the login-shell wrapping
## Verification
- `pnpm vitest run --no-coverage --project @paperclipai/sandbox-e2b` —
17/17 plugin tests pass
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils`
clean
- `pnpm typecheck` clean
- Manual: previously every sandboxed adapter said "Command is
executable" then the hello probe failed with "exec: not found". After
this change, missing CLIs surface honestly at the resolvability step.
SSH no-regression: SSH Claude probe still passes.
## Risks
Medium — sandbox adapter Test reports will start failing at the
resolvability step for environments where the CLI was never actually
installed. This was always the real state; the previous "Command is
executable" message was incorrect. Operators should expect
previously-green-but-broken sandbox environments to report accurately.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable — `plugin.test.ts`
updated for the login-shell wrapping
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 08:21:37 -07:00
|
|
|
);
|
|
|
|
|
}
|
|
|
|
|
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
export async function resolveAdapterExecutionTargetCommandForLogs(
|
|
|
|
|
command: string,
|
|
|
|
|
target: AdapterExecutionTarget | null | undefined,
|
|
|
|
|
cwd: string,
|
|
|
|
|
env: NodeJS.ProcessEnv,
|
|
|
|
|
): Promise<string> {
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
if (target?.kind === "remote" && target.transport === "sandbox") {
|
|
|
|
|
return `sandbox://${target.providerKey ?? "provider"}/${target.leaseId ?? "lease"}/${target.remoteCwd} :: ${command}`;
|
|
|
|
|
}
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
return await resolveCommandForLogs(command, cwd, env, {
|
|
|
|
|
remoteExecution: adapterExecutionTargetToRemoteSpec(target),
|
|
|
|
|
});
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
export async function runAdapterExecutionTargetProcess(
|
|
|
|
|
runId: string,
|
|
|
|
|
target: AdapterExecutionTarget | null | undefined,
|
|
|
|
|
command: string,
|
|
|
|
|
args: string[],
|
|
|
|
|
options: AdapterExecutionTargetProcessOptions,
|
|
|
|
|
): Promise<RunProcessResult> {
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
if (target?.kind === "remote" && target.transport === "sandbox") {
|
|
|
|
|
const runner = requireSandboxRunner(target);
|
Sanitize remote execution envs at the boundary (#5325)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Adapters spawn CLIs against local, SSH, and sandbox targets,
threading a runtime env through `runAdapterExecutionTargetProcess` and
the SSH/sandbox runners
> - Host identity vars (HOME, TMPDIR, XDG_*, NVM_DIR, PATH) routinely
leak into the env we send to remote targets — sometimes via test probes,
sometimes via runtime config — and break sandboxed/SSH'd CLIs whose own
profiles set those values correctly
> - The sanitization logic existed but lived alongside other helpers in
`server-utils.ts` and was applied piecemeal at adapter callsites, so it
was easy to bypass
> - This pull request lifts the sanitization into a standalone
`remote-execution-env.ts`, applies it at the SSH and sandbox runtime
boundary so every remote spawn goes through it, and removes the
duplicated callsite-level filtering
> - The benefit is identity-bound host env stops leaking across
SSH/sandbox transports regardless of which adapter calls in
## What Changed
- `packages/adapter-utils/src/remote-execution-env.ts`: new module —
single source of truth for which env keys are identity-bound and how to
strip them when the value matches the host's value
- `packages/adapter-utils/src/server-utils.ts`: remove the inline
sanitization (now in `remote-execution-env.ts`)
- `packages/adapter-utils/src/execution-target.ts`: apply sanitization
at the sandbox runtime boundary
- `packages/adapter-utils/src/ssh.ts`: apply sanitization at the SSH
spawn boundary
- `packages/adapters/opencode-local/src/server/test.ts`: drop
now-redundant callsite filtering
- `packages/adapters/pi-local/src/server/test.ts`: drop now-redundant
callsite filtering
- New tests `execution-target.test.ts` and
`execution-target-sandbox.test.ts` cover the sanitizer flow at both
transports, including positive cases (host-shaped path stripped) and
explicit-override preservation
## Verification
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils
--project @paperclipai/adapter-opencode-local --project
@paperclipai/adapter-pi-local`
- `pnpm typecheck` clean
## Risks
Low–medium. The sanitization is now applied at one layer (boundary)
instead of N (callsites), so behavior is more consistent. Any adapter
that previously relied on a leaked host var landing on the remote shell
would now see it stripped — but those reliances were what this change
exists to fix.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable — new tests at both
transports
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 19:30:14 -07:00
|
|
|
const env = sanitizeRemoteExecutionEnv(options.env);
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
return await runner.execute({
|
|
|
|
|
command,
|
|
|
|
|
args,
|
|
|
|
|
cwd: target.remoteCwd,
|
Sanitize remote execution envs at the boundary (#5325)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Adapters spawn CLIs against local, SSH, and sandbox targets,
threading a runtime env through `runAdapterExecutionTargetProcess` and
the SSH/sandbox runners
> - Host identity vars (HOME, TMPDIR, XDG_*, NVM_DIR, PATH) routinely
leak into the env we send to remote targets — sometimes via test probes,
sometimes via runtime config — and break sandboxed/SSH'd CLIs whose own
profiles set those values correctly
> - The sanitization logic existed but lived alongside other helpers in
`server-utils.ts` and was applied piecemeal at adapter callsites, so it
was easy to bypass
> - This pull request lifts the sanitization into a standalone
`remote-execution-env.ts`, applies it at the SSH and sandbox runtime
boundary so every remote spawn goes through it, and removes the
duplicated callsite-level filtering
> - The benefit is identity-bound host env stops leaking across
SSH/sandbox transports regardless of which adapter calls in
## What Changed
- `packages/adapter-utils/src/remote-execution-env.ts`: new module —
single source of truth for which env keys are identity-bound and how to
strip them when the value matches the host's value
- `packages/adapter-utils/src/server-utils.ts`: remove the inline
sanitization (now in `remote-execution-env.ts`)
- `packages/adapter-utils/src/execution-target.ts`: apply sanitization
at the sandbox runtime boundary
- `packages/adapter-utils/src/ssh.ts`: apply sanitization at the SSH
spawn boundary
- `packages/adapters/opencode-local/src/server/test.ts`: drop
now-redundant callsite filtering
- `packages/adapters/pi-local/src/server/test.ts`: drop now-redundant
callsite filtering
- New tests `execution-target.test.ts` and
`execution-target-sandbox.test.ts` cover the sanitizer flow at both
transports, including positive cases (host-shaped path stripped) and
explicit-override preservation
## Verification
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils
--project @paperclipai/adapter-opencode-local --project
@paperclipai/adapter-pi-local`
- `pnpm typecheck` clean
## Risks
Low–medium. The sanitization is now applied at one layer (boundary)
instead of N (callsites), so behavior is more consistent. Any adapter
that previously relied on a leaked host var landing on the remote shell
would now see it stripped — but those reliances were what this change
exists to fix.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable — new tests at both
transports
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 19:30:14 -07:00
|
|
|
env,
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
stdin: options.stdin,
|
|
|
|
|
timeoutMs: options.timeoutSec > 0 ? options.timeoutSec * 1000 : target.timeoutMs ?? undefined,
|
|
|
|
|
onLog: options.onLog,
|
|
|
|
|
onSpawn: options.onSpawn
|
|
|
|
|
? async (meta) => options.onSpawn?.({ ...meta, processGroupId: null })
|
|
|
|
|
: undefined,
|
|
|
|
|
});
|
|
|
|
|
}
|
|
|
|
|
|
Sanitize remote execution envs at the boundary (#5325)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Adapters spawn CLIs against local, SSH, and sandbox targets,
threading a runtime env through `runAdapterExecutionTargetProcess` and
the SSH/sandbox runners
> - Host identity vars (HOME, TMPDIR, XDG_*, NVM_DIR, PATH) routinely
leak into the env we send to remote targets — sometimes via test probes,
sometimes via runtime config — and break sandboxed/SSH'd CLIs whose own
profiles set those values correctly
> - The sanitization logic existed but lived alongside other helpers in
`server-utils.ts` and was applied piecemeal at adapter callsites, so it
was easy to bypass
> - This pull request lifts the sanitization into a standalone
`remote-execution-env.ts`, applies it at the SSH and sandbox runtime
boundary so every remote spawn goes through it, and removes the
duplicated callsite-level filtering
> - The benefit is identity-bound host env stops leaking across
SSH/sandbox transports regardless of which adapter calls in
## What Changed
- `packages/adapter-utils/src/remote-execution-env.ts`: new module —
single source of truth for which env keys are identity-bound and how to
strip them when the value matches the host's value
- `packages/adapter-utils/src/server-utils.ts`: remove the inline
sanitization (now in `remote-execution-env.ts`)
- `packages/adapter-utils/src/execution-target.ts`: apply sanitization
at the sandbox runtime boundary
- `packages/adapter-utils/src/ssh.ts`: apply sanitization at the SSH
spawn boundary
- `packages/adapters/opencode-local/src/server/test.ts`: drop
now-redundant callsite filtering
- `packages/adapters/pi-local/src/server/test.ts`: drop now-redundant
callsite filtering
- New tests `execution-target.test.ts` and
`execution-target-sandbox.test.ts` cover the sanitizer flow at both
transports, including positive cases (host-shaped path stripped) and
explicit-override preservation
## Verification
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils
--project @paperclipai/adapter-opencode-local --project
@paperclipai/adapter-pi-local`
- `pnpm typecheck` clean
## Risks
Low–medium. The sanitization is now applied at one layer (boundary)
instead of N (callsites), so behavior is more consistent. Any adapter
that previously relied on a leaked host var landing on the remote shell
would now see it stripped — but those reliances were what this change
exists to fix.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable — new tests at both
transports
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 19:30:14 -07:00
|
|
|
const env =
|
|
|
|
|
target?.kind === "remote" && target.transport === "ssh"
|
|
|
|
|
? sanitizeRemoteExecutionEnv(options.env)
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: options.env;
|
|
|
|
|
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
return await runChildProcess(runId, command, args, {
|
|
|
|
|
cwd: options.cwd,
|
Sanitize remote execution envs at the boundary (#5325)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Adapters spawn CLIs against local, SSH, and sandbox targets,
threading a runtime env through `runAdapterExecutionTargetProcess` and
the SSH/sandbox runners
> - Host identity vars (HOME, TMPDIR, XDG_*, NVM_DIR, PATH) routinely
leak into the env we send to remote targets — sometimes via test probes,
sometimes via runtime config — and break sandboxed/SSH'd CLIs whose own
profiles set those values correctly
> - The sanitization logic existed but lived alongside other helpers in
`server-utils.ts` and was applied piecemeal at adapter callsites, so it
was easy to bypass
> - This pull request lifts the sanitization into a standalone
`remote-execution-env.ts`, applies it at the SSH and sandbox runtime
boundary so every remote spawn goes through it, and removes the
duplicated callsite-level filtering
> - The benefit is identity-bound host env stops leaking across
SSH/sandbox transports regardless of which adapter calls in
## What Changed
- `packages/adapter-utils/src/remote-execution-env.ts`: new module —
single source of truth for which env keys are identity-bound and how to
strip them when the value matches the host's value
- `packages/adapter-utils/src/server-utils.ts`: remove the inline
sanitization (now in `remote-execution-env.ts`)
- `packages/adapter-utils/src/execution-target.ts`: apply sanitization
at the sandbox runtime boundary
- `packages/adapter-utils/src/ssh.ts`: apply sanitization at the SSH
spawn boundary
- `packages/adapters/opencode-local/src/server/test.ts`: drop
now-redundant callsite filtering
- `packages/adapters/pi-local/src/server/test.ts`: drop now-redundant
callsite filtering
- New tests `execution-target.test.ts` and
`execution-target-sandbox.test.ts` cover the sanitizer flow at both
transports, including positive cases (host-shaped path stripped) and
explicit-override preservation
## Verification
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils
--project @paperclipai/adapter-opencode-local --project
@paperclipai/adapter-pi-local`
- `pnpm typecheck` clean
## Risks
Low–medium. The sanitization is now applied at one layer (boundary)
instead of N (callsites), so behavior is more consistent. Any adapter
that previously relied on a leaked host var landing on the remote shell
would now see it stripped — but those reliances were what this change
exists to fix.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable — new tests at both
transports
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 19:30:14 -07:00
|
|
|
env,
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
stdin: options.stdin,
|
|
|
|
|
timeoutSec: options.timeoutSec,
|
|
|
|
|
graceSec: options.graceSec,
|
|
|
|
|
onLog: options.onLog,
|
|
|
|
|
onSpawn: options.onSpawn,
|
|
|
|
|
terminalResultCleanup: options.terminalResultCleanup,
|
|
|
|
|
remoteExecution: adapterExecutionTargetToRemoteSpec(target),
|
|
|
|
|
});
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
export async function runAdapterExecutionTargetShellCommand(
|
|
|
|
|
runId: string,
|
|
|
|
|
target: AdapterExecutionTarget | null | undefined,
|
|
|
|
|
command: string,
|
|
|
|
|
options: AdapterExecutionTargetShellOptions,
|
|
|
|
|
): Promise<RunProcessResult> {
|
|
|
|
|
const onLog = options.onLog ?? (async () => {});
|
|
|
|
|
if (target?.kind === "remote") {
|
|
|
|
|
const startedAt = new Date().toISOString();
|
Sanitize remote execution envs at the boundary (#5325)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Adapters spawn CLIs against local, SSH, and sandbox targets,
threading a runtime env through `runAdapterExecutionTargetProcess` and
the SSH/sandbox runners
> - Host identity vars (HOME, TMPDIR, XDG_*, NVM_DIR, PATH) routinely
leak into the env we send to remote targets — sometimes via test probes,
sometimes via runtime config — and break sandboxed/SSH'd CLIs whose own
profiles set those values correctly
> - The sanitization logic existed but lived alongside other helpers in
`server-utils.ts` and was applied piecemeal at adapter callsites, so it
was easy to bypass
> - This pull request lifts the sanitization into a standalone
`remote-execution-env.ts`, applies it at the SSH and sandbox runtime
boundary so every remote spawn goes through it, and removes the
duplicated callsite-level filtering
> - The benefit is identity-bound host env stops leaking across
SSH/sandbox transports regardless of which adapter calls in
## What Changed
- `packages/adapter-utils/src/remote-execution-env.ts`: new module —
single source of truth for which env keys are identity-bound and how to
strip them when the value matches the host's value
- `packages/adapter-utils/src/server-utils.ts`: remove the inline
sanitization (now in `remote-execution-env.ts`)
- `packages/adapter-utils/src/execution-target.ts`: apply sanitization
at the sandbox runtime boundary
- `packages/adapter-utils/src/ssh.ts`: apply sanitization at the SSH
spawn boundary
- `packages/adapters/opencode-local/src/server/test.ts`: drop
now-redundant callsite filtering
- `packages/adapters/pi-local/src/server/test.ts`: drop now-redundant
callsite filtering
- New tests `execution-target.test.ts` and
`execution-target-sandbox.test.ts` cover the sanitizer flow at both
transports, including positive cases (host-shaped path stripped) and
explicit-override preservation
## Verification
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils
--project @paperclipai/adapter-opencode-local --project
@paperclipai/adapter-pi-local`
- `pnpm typecheck` clean
## Risks
Low–medium. The sanitization is now applied at one layer (boundary)
instead of N (callsites), so behavior is more consistent. Any adapter
that previously relied on a leaked host var landing on the remote shell
would now see it stripped — but those reliances were what this change
exists to fix.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable — new tests at both
transports
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 19:30:14 -07:00
|
|
|
const env = sanitizeRemoteExecutionEnv(options.env);
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
if (target.transport === "ssh") {
|
|
|
|
|
try {
|
Sanitize remote execution envs at the boundary (#5325)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Adapters spawn CLIs against local, SSH, and sandbox targets,
threading a runtime env through `runAdapterExecutionTargetProcess` and
the SSH/sandbox runners
> - Host identity vars (HOME, TMPDIR, XDG_*, NVM_DIR, PATH) routinely
leak into the env we send to remote targets — sometimes via test probes,
sometimes via runtime config — and break sandboxed/SSH'd CLIs whose own
profiles set those values correctly
> - The sanitization logic existed but lived alongside other helpers in
`server-utils.ts` and was applied piecemeal at adapter callsites, so it
was easy to bypass
> - This pull request lifts the sanitization into a standalone
`remote-execution-env.ts`, applies it at the SSH and sandbox runtime
boundary so every remote spawn goes through it, and removes the
duplicated callsite-level filtering
> - The benefit is identity-bound host env stops leaking across
SSH/sandbox transports regardless of which adapter calls in
## What Changed
- `packages/adapter-utils/src/remote-execution-env.ts`: new module —
single source of truth for which env keys are identity-bound and how to
strip them when the value matches the host's value
- `packages/adapter-utils/src/server-utils.ts`: remove the inline
sanitization (now in `remote-execution-env.ts`)
- `packages/adapter-utils/src/execution-target.ts`: apply sanitization
at the sandbox runtime boundary
- `packages/adapter-utils/src/ssh.ts`: apply sanitization at the SSH
spawn boundary
- `packages/adapters/opencode-local/src/server/test.ts`: drop
now-redundant callsite filtering
- `packages/adapters/pi-local/src/server/test.ts`: drop now-redundant
callsite filtering
- New tests `execution-target.test.ts` and
`execution-target-sandbox.test.ts` cover the sanitizer flow at both
transports, including positive cases (host-shaped path stripped) and
explicit-override preservation
## Verification
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils
--project @paperclipai/adapter-opencode-local --project
@paperclipai/adapter-pi-local`
- `pnpm typecheck` clean
## Risks
Low–medium. The sanitization is now applied at one layer (boundary)
instead of N (callsites), so behavior is more consistent. Any adapter
that previously relied on a leaked host var landing on the remote shell
would now see it stripped — but those reliances were what this change
exists to fix.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable — new tests at both
transports
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 19:30:14 -07:00
|
|
|
// Pass the raw command — `runSshCommand` owns profile sourcing and
|
Add secrets provider vaults and remote import (#5429)
## Thinking Path
> - Paperclip orchestrates AI-agent companies and needs secrets handling
to work across local development, hosted operators, and governed agent
execution.
> - The affected subsystem is the company-scoped secrets control plane:
database schema, server services/routes, CLI workflows, and the Secrets
settings UI.
> - The gap was that secrets were local-only and operators could not
manage provider vaults or import existing remote references without
exposing plaintext.
> - This branch adds provider vault configuration plus an AWS Secrets
Manager remote-import path while preserving company boundaries, binding
context, and audit trails.
> - I kept the PR to a single branch PR, removed unrelated
lockfile/package drift, rebased the full branch onto the current
`public-gh/master`, and addressed fresh Greptile findings.
> - The benefit is a reviewable implementation of provider-backed
secrets with focused tests covering provider selection, import
conflicts, deleted secret reuse, rotation guards, and AWS signing
behavior.
## What Changed
- Added provider vault support for company secrets, including provider
config storage, default vault handling, health checks, binding usage,
access events, and remote import preview/commit.
- Added an AWS Secrets Manager provider using SigV4 request signing,
bounded request timeouts, namespace guardrails, cached runtime
credential resolution, and external-reference linking without plaintext
reads.
- Added Secrets UI surfaces for vault management and remote import, plus
CLI/API documentation for setup and operations.
- Stabilized routine webhook secret binding paths and SSH
environment-driver fixture bindings discovered during verification.
- Addressed Greptile and CI findings: no lockfile/package drift,
monotonic migration metadata, disabled-vault default races, soft-deleted
secret hiding/recreate behavior, remove behavior with disabled vaults,
soft-deleted external-reference re-import, non-active rotation guards,
managed-secret soft deletion through PATCH, and per-call AWS SDK
credential client churn.
- Rebased this branch onto `public-gh/master` at `0e1a5828` and
force-pushed with lease to keep this as the single PR for the branch.
## Verification
- `git fetch public-gh master`
- `git rebase public-gh/master`
- `git diff --name-only public-gh/master...HEAD | grep
'^pnpm-lock\.yaml$' || true` confirmed `pnpm-lock.yaml` is not in the PR
diff.
- Confirmed migration ordering: master ends at `0081_optimal_dormammu`;
this PR adds `0082_dry_vision` and
`0083_company_secret_provider_configs`.
- Inspected migrations for repeat safety: new tables/indexes use `IF NOT
EXISTS`; foreign keys are guarded by `DO $$ ... IF NOT EXISTS`; column
additions use `ADD COLUMN IF NOT EXISTS`.
- `pnpm -r typecheck` passed before the Greptile follow-up commits.
- `pnpm test:run` ran the full stable Vitest path before the Greptile
follow-up commits; it completed with 3 timing-related failures under
parallel load: `codex-local-execute.test.ts`,
`cursor-local-execute.test.ts`, and `environment-service.test.ts`.
- `pnpm --filter @paperclipai/server exec vitest run
src/__tests__/codex-local-execute.test.ts
src/__tests__/cursor-local-execute.test.ts
src/__tests__/environment-service.test.ts` passed on targeted rerun
(`24/24`).
- `pnpm build` passed before the Greptile follow-up commits. Vite
reported existing chunk-size/dynamic-import warnings.
- After Greptile follow-up commits: `pnpm --filter @paperclipai/server
exec vitest run src/__tests__/secrets-service.test.ts` passed (`26/26`).
- After Greptile follow-up commits: `pnpm --filter @paperclipai/server
exec vitest run src/__tests__/aws-secrets-manager-provider.test.ts
src/__tests__/secrets-service.test.ts` passed (`39/39`).
- After Greptile follow-up commits: `pnpm --filter @paperclipai/server
typecheck` passed.
- Captured Storybook screenshots from `ui/storybook-static` for visual
review.
- Latest PR checks on `5ca3a5cf`: `policy`, serialized server suites
1/4-4/4, `Canary Dry Run`, `e2e`, `security/snyk`, and `Greptile Review`
pass; aggregate `verify` is still registering the completed child
checks.
- Greptile review loop continued through the latest requested pass; all
Greptile review threads are resolved and the latest `Greptile Review`
check on `5ca3a5cf` passed with 0 comments added.
## Screenshots
Before: the provider-vault and remote-import surfaces did not exist on
`master`; these are after-state screenshots from the Storybook fixtures.



## Risks
- Migration risk: this adds new secret provider tables and extends
existing secret rows. The migrations were checked for monotonic ordering
and idempotent guards, but reviewers should still inspect upgrade
behavior carefully.
- Provider risk: AWS support uses direct SigV4 requests. Automated tests
cover signing, request timeouts, vault-config selection, namespace
guardrails, pending-version archival, sanitized provider errors, and
service-level cleanup paths. A real-vault AWS smoke test remains
deployment validation for an operator with AWS credentials rather than
an unverified merge blocker in this local branch.
- UI risk: the Secrets page and import dialog are large new surfaces;
screenshots are included above for reviewer inspection.
- Verification risk: the full local stable test command hit
parallel-load timing failures, although the exact failed files passed
when rerun directly.
- Operational risk: remote import intentionally avoids plaintext reads;
operators must understand that imported external references resolve at
runtime and may fail if AWS permissions change.
> For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and
discuss it in `#dev` before opening the PR. Feature PRs that overlap
with planned core work may need to be redirected — check the roadmap
first. See `CONTRIBUTING.md`.
## Model Used
- OpenAI Codex, GPT-5 coding agent with local shell/tool use in the
Paperclip worktree. Exact context-window size was not exposed by the
runtime.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [ ] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
---------
Co-authored-by: Paperclip <noreply@paperclip.ing>
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-09 18:22:17 -05:00
|
|
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// the outer shell wrapper. Wrapping again here would nest a second
|
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// shell after the explicit `env KEY=VAL` overrides, re-sourcing
|
Sanitize remote execution envs at the boundary (#5325)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Adapters spawn CLIs against local, SSH, and sandbox targets,
threading a runtime env through `runAdapterExecutionTargetProcess` and
the SSH/sandbox runners
> - Host identity vars (HOME, TMPDIR, XDG_*, NVM_DIR, PATH) routinely
leak into the env we send to remote targets — sometimes via test probes,
sometimes via runtime config — and break sandboxed/SSH'd CLIs whose own
profiles set those values correctly
> - The sanitization logic existed but lived alongside other helpers in
`server-utils.ts` and was applied piecemeal at adapter callsites, so it
was easy to bypass
> - This pull request lifts the sanitization into a standalone
`remote-execution-env.ts`, applies it at the SSH and sandbox runtime
boundary so every remote spawn goes through it, and removes the
duplicated callsite-level filtering
> - The benefit is identity-bound host env stops leaking across
SSH/sandbox transports regardless of which adapter calls in
## What Changed
- `packages/adapter-utils/src/remote-execution-env.ts`: new module —
single source of truth for which env keys are identity-bound and how to
strip them when the value matches the host's value
- `packages/adapter-utils/src/server-utils.ts`: remove the inline
sanitization (now in `remote-execution-env.ts`)
- `packages/adapter-utils/src/execution-target.ts`: apply sanitization
at the sandbox runtime boundary
- `packages/adapter-utils/src/ssh.ts`: apply sanitization at the SSH
spawn boundary
- `packages/adapters/opencode-local/src/server/test.ts`: drop
now-redundant callsite filtering
- `packages/adapters/pi-local/src/server/test.ts`: drop now-redundant
callsite filtering
- New tests `execution-target.test.ts` and
`execution-target-sandbox.test.ts` cover the sanitizer flow at both
transports, including positive cases (host-shaped path stripped) and
explicit-override preservation
## Verification
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils
--project @paperclipai/adapter-opencode-local --project
@paperclipai/adapter-pi-local`
- `pnpm typecheck` clean
## Risks
Low–medium. The sanitization is now applied at one layer (boundary)
instead of N (callsites), so behavior is more consistent. Any adapter
that previously relied on a leaked host var landing on the remote shell
would now see it stripped — but those reliances were what this change
exists to fix.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable — new tests at both
transports
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 19:30:14 -07:00
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// login profiles AFTER the override and silently undoing any
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// identity var (NVM_DIR / PATH / etc.) that a profile re-exports.
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const result = await runSshCommand(target.spec, command, {
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env,
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
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timeoutMs: (options.timeoutSec ?? 15) * 1000,
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});
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if (result.stdout) await onLog("stdout", result.stdout);
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if (result.stderr) await onLog("stderr", result.stderr);
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return {
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exitCode: 0,
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signal: null,
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timedOut: false,
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stdout: result.stdout,
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stderr: result.stderr,
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pid: null,
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startedAt,
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};
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} catch (error) {
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const timedOutError = error as NodeJS.ErrnoException & {
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stdout?: string;
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stderr?: string;
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signal?: string | null;
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};
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const stdout = timedOutError.stdout ?? "";
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const stderr = timedOutError.stderr ?? "";
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if (typeof timedOutError.code === "number") {
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if (stdout) await onLog("stdout", stdout);
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if (stderr) await onLog("stderr", stderr);
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return {
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exitCode: timedOutError.code,
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signal: timedOutError.signal ?? null,
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timedOut: false,
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stdout,
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stderr,
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pid: null,
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startedAt,
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};
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}
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if (timedOutError.code !== "ETIMEDOUT") {
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throw error;
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}
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
if (stdout) await onLog("stdout", stdout);
|
|
|
|
|
if (stderr) await onLog("stderr", stderr);
|
|
|
|
|
return {
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
exitCode: null,
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
signal: timedOutError.signal ?? null,
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
timedOut: true,
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
stdout,
|
|
|
|
|
stderr,
|
|
|
|
|
pid: null,
|
|
|
|
|
startedAt,
|
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|
|
|
};
|
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}
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|
}
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
|
Let sandbox providers declare shell defaults (#5114)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents execute in sandboxed remote environments served by pluggable
sandbox
> providers (E2B today, more later)
> - Today every sandbox command runs under `sh -lc` regardless of what
the
> provider's container actually ships
> - That misses bash-only shell init on E2B (which ships bash) and
prevents
> future providers from declaring a different default — there's no way
for a
> provider to say "I have bash, use it"
> - This PR adds a `shellCommand` field to sandbox execution targets so
providers
> can declare their preferred shell ("bash" for E2B), threads it through
the
> sandbox-managed-runtime client, callback bridge, and execution-target
shell
> helper, and validates the value at the lease-metadata boundary
> - The benefit is that sandbox commands run under the right shell on
the right
> provider, and adding new sandbox providers only needs to declare a
shell
> preference
## What Changed
- Added `packages/adapter-utils/src/sandbox-shell.ts` exporting
`preferredShellForSandbox(shellCommand)` (returns `"bash"` if input is
`"bash"`,
else `"sh"`)
- Added `shellCommand?: "bash" | "sh" | null` to
`AdapterSandboxExecutionTarget`
and `CommandManagedRuntimeSpec`; threaded it through
`runAdapterExecutionTargetShellCommand`,
`prepareAdapterExecutionTargetRuntime`,
and `startAdapterExecutionTargetPaperclipBridge`
- `createCommandManagedRuntimeClient`, `prepareCommandManagedRuntime`,
and
`createCommandManagedSandboxCallbackBridgeQueueClient` now take an
optional
`shellCommand` and use `preferredShellForSandbox` to pick the shell
- `startSandboxCallbackBridgeServer` accepts a `shellCommand` for its
server
startup, readiness probe, and stop hook
- E2B sandbox plugin declares `shellCommand: "bash"` in `leaseMetadata`
- `resolveEnvironmentExecutionTarget` reads `shellCommand` from lease
metadata
(validating against `"bash" | "sh" | null`)
- `environment-runtime.ts` adds `"shellCommand"` to
`INTERNAL_PLUGIN_SANDBOX_CONFIG_KEYS`
so the field round-trips through internal plugin config without leaking
to
external plugin metadata
- Updated tests in `command-managed-runtime.test.ts`,
`execution-target-sandbox.test.ts`, `sandbox-callback-bridge.test.ts`,
`environment-execution-target.test.ts`
## Verification
- `pnpm --filter @paperclipai/adapter-utils test`
- `pnpm --filter @paperclipai/server test --
environment-execution-target`
- `pnpm --filter @paperclipai/sandbox-providers-e2b test`
- Manual QA: boot a Paperclip instance, create an E2B-backed
environment, run a
claude_local agent against it, and confirm the run completes (verifies
bash
shell semantics flow through the callback bridge end-to-end)
## Risks
- E2B sandbox commands now run under `bash -lc` instead of `sh -lc`.
Bash is a
strict superset for the commands we issue (no busybox-only flags in our
shell
scripts), so risk is low. The shellCommand field is opt-in via lease
metadata —
providers that don't declare it stay on `sh`.
- New optional field on `CommandManagedRuntimeSpec` and
`AdapterSandboxExecutionTarget`.
Consumers ignoring the field retain previous behaviour (sh).
- Lease metadata now carries an additional field. Existing leases
without
`shellCommand` resolve to `null` and fall back to sh — backwards
compatible.
## Model Used
- OpenAI GPT-5.4 (reasoning effort: high) via Codex CLI
- Provider: OpenAI
- Used to author the code changes in this PR
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots — N/A (no UI changes)
- [ ] I have updated relevant documentation to reflect my changes — N/A
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-03 12:19:35 -07:00
|
|
|
const shellCommand = preferredSandboxShell(target);
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
return await requireSandboxRunner(target).execute({
|
Let sandbox providers declare shell defaults (#5114)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents execute in sandboxed remote environments served by pluggable
sandbox
> providers (E2B today, more later)
> - Today every sandbox command runs under `sh -lc` regardless of what
the
> provider's container actually ships
> - That misses bash-only shell init on E2B (which ships bash) and
prevents
> future providers from declaring a different default — there's no way
for a
> provider to say "I have bash, use it"
> - This PR adds a `shellCommand` field to sandbox execution targets so
providers
> can declare their preferred shell ("bash" for E2B), threads it through
the
> sandbox-managed-runtime client, callback bridge, and execution-target
shell
> helper, and validates the value at the lease-metadata boundary
> - The benefit is that sandbox commands run under the right shell on
the right
> provider, and adding new sandbox providers only needs to declare a
shell
> preference
## What Changed
- Added `packages/adapter-utils/src/sandbox-shell.ts` exporting
`preferredShellForSandbox(shellCommand)` (returns `"bash"` if input is
`"bash"`,
else `"sh"`)
- Added `shellCommand?: "bash" | "sh" | null` to
`AdapterSandboxExecutionTarget`
and `CommandManagedRuntimeSpec`; threaded it through
`runAdapterExecutionTargetShellCommand`,
`prepareAdapterExecutionTargetRuntime`,
and `startAdapterExecutionTargetPaperclipBridge`
- `createCommandManagedRuntimeClient`, `prepareCommandManagedRuntime`,
and
`createCommandManagedSandboxCallbackBridgeQueueClient` now take an
optional
`shellCommand` and use `preferredShellForSandbox` to pick the shell
- `startSandboxCallbackBridgeServer` accepts a `shellCommand` for its
server
startup, readiness probe, and stop hook
- E2B sandbox plugin declares `shellCommand: "bash"` in `leaseMetadata`
- `resolveEnvironmentExecutionTarget` reads `shellCommand` from lease
metadata
(validating against `"bash" | "sh" | null`)
- `environment-runtime.ts` adds `"shellCommand"` to
`INTERNAL_PLUGIN_SANDBOX_CONFIG_KEYS`
so the field round-trips through internal plugin config without leaking
to
external plugin metadata
- Updated tests in `command-managed-runtime.test.ts`,
`execution-target-sandbox.test.ts`, `sandbox-callback-bridge.test.ts`,
`environment-execution-target.test.ts`
## Verification
- `pnpm --filter @paperclipai/adapter-utils test`
- `pnpm --filter @paperclipai/server test --
environment-execution-target`
- `pnpm --filter @paperclipai/sandbox-providers-e2b test`
- Manual QA: boot a Paperclip instance, create an E2B-backed
environment, run a
claude_local agent against it, and confirm the run completes (verifies
bash
shell semantics flow through the callback bridge end-to-end)
## Risks
- E2B sandbox commands now run under `bash -lc` instead of `sh -lc`.
Bash is a
strict superset for the commands we issue (no busybox-only flags in our
shell
scripts), so risk is low. The shellCommand field is opt-in via lease
metadata —
providers that don't declare it stay on `sh`.
- New optional field on `CommandManagedRuntimeSpec` and
`AdapterSandboxExecutionTarget`.
Consumers ignoring the field retain previous behaviour (sh).
- Lease metadata now carries an additional field. Existing leases
without
`shellCommand` resolve to `null` and fall back to sh — backwards
compatible.
## Model Used
- OpenAI GPT-5.4 (reasoning effort: high) via Codex CLI
- Provider: OpenAI
- Used to author the code changes in this PR
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots — N/A (no UI changes)
- [ ] I have updated relevant documentation to reflect my changes — N/A
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-03 12:19:35 -07:00
|
|
|
command: shellCommand,
|
Add secrets provider vaults and remote import (#5429)
## Thinking Path
> - Paperclip orchestrates AI-agent companies and needs secrets handling
to work across local development, hosted operators, and governed agent
execution.
> - The affected subsystem is the company-scoped secrets control plane:
database schema, server services/routes, CLI workflows, and the Secrets
settings UI.
> - The gap was that secrets were local-only and operators could not
manage provider vaults or import existing remote references without
exposing plaintext.
> - This branch adds provider vault configuration plus an AWS Secrets
Manager remote-import path while preserving company boundaries, binding
context, and audit trails.
> - I kept the PR to a single branch PR, removed unrelated
lockfile/package drift, rebased the full branch onto the current
`public-gh/master`, and addressed fresh Greptile findings.
> - The benefit is a reviewable implementation of provider-backed
secrets with focused tests covering provider selection, import
conflicts, deleted secret reuse, rotation guards, and AWS signing
behavior.
## What Changed
- Added provider vault support for company secrets, including provider
config storage, default vault handling, health checks, binding usage,
access events, and remote import preview/commit.
- Added an AWS Secrets Manager provider using SigV4 request signing,
bounded request timeouts, namespace guardrails, cached runtime
credential resolution, and external-reference linking without plaintext
reads.
- Added Secrets UI surfaces for vault management and remote import, plus
CLI/API documentation for setup and operations.
- Stabilized routine webhook secret binding paths and SSH
environment-driver fixture bindings discovered during verification.
- Addressed Greptile and CI findings: no lockfile/package drift,
monotonic migration metadata, disabled-vault default races, soft-deleted
secret hiding/recreate behavior, remove behavior with disabled vaults,
soft-deleted external-reference re-import, non-active rotation guards,
managed-secret soft deletion through PATCH, and per-call AWS SDK
credential client churn.
- Rebased this branch onto `public-gh/master` at `0e1a5828` and
force-pushed with lease to keep this as the single PR for the branch.
## Verification
- `git fetch public-gh master`
- `git rebase public-gh/master`
- `git diff --name-only public-gh/master...HEAD | grep
'^pnpm-lock\.yaml$' || true` confirmed `pnpm-lock.yaml` is not in the PR
diff.
- Confirmed migration ordering: master ends at `0081_optimal_dormammu`;
this PR adds `0082_dry_vision` and
`0083_company_secret_provider_configs`.
- Inspected migrations for repeat safety: new tables/indexes use `IF NOT
EXISTS`; foreign keys are guarded by `DO $$ ... IF NOT EXISTS`; column
additions use `ADD COLUMN IF NOT EXISTS`.
- `pnpm -r typecheck` passed before the Greptile follow-up commits.
- `pnpm test:run` ran the full stable Vitest path before the Greptile
follow-up commits; it completed with 3 timing-related failures under
parallel load: `codex-local-execute.test.ts`,
`cursor-local-execute.test.ts`, and `environment-service.test.ts`.
- `pnpm --filter @paperclipai/server exec vitest run
src/__tests__/codex-local-execute.test.ts
src/__tests__/cursor-local-execute.test.ts
src/__tests__/environment-service.test.ts` passed on targeted rerun
(`24/24`).
- `pnpm build` passed before the Greptile follow-up commits. Vite
reported existing chunk-size/dynamic-import warnings.
- After Greptile follow-up commits: `pnpm --filter @paperclipai/server
exec vitest run src/__tests__/secrets-service.test.ts` passed (`26/26`).
- After Greptile follow-up commits: `pnpm --filter @paperclipai/server
exec vitest run src/__tests__/aws-secrets-manager-provider.test.ts
src/__tests__/secrets-service.test.ts` passed (`39/39`).
- After Greptile follow-up commits: `pnpm --filter @paperclipai/server
typecheck` passed.
- Captured Storybook screenshots from `ui/storybook-static` for visual
review.
- Latest PR checks on `5ca3a5cf`: `policy`, serialized server suites
1/4-4/4, `Canary Dry Run`, `e2e`, `security/snyk`, and `Greptile Review`
pass; aggregate `verify` is still registering the completed child
checks.
- Greptile review loop continued through the latest requested pass; all
Greptile review threads are resolved and the latest `Greptile Review`
check on `5ca3a5cf` passed with 0 comments added.
## Screenshots
Before: the provider-vault and remote-import surfaces did not exist on
`master`; these are after-state screenshots from the Storybook fixtures.



## Risks
- Migration risk: this adds new secret provider tables and extends
existing secret rows. The migrations were checked for monotonic ordering
and idempotent guards, but reviewers should still inspect upgrade
behavior carefully.
- Provider risk: AWS support uses direct SigV4 requests. Automated tests
cover signing, request timeouts, vault-config selection, namespace
guardrails, pending-version archival, sanitized provider errors, and
service-level cleanup paths. A real-vault AWS smoke test remains
deployment validation for an operator with AWS credentials rather than
an unverified merge blocker in this local branch.
- UI risk: the Secrets page and import dialog are large new surfaces;
screenshots are included above for reviewer inspection.
- Verification risk: the full local stable test command hit
parallel-load timing failures, although the exact failed files passed
when rerun directly.
- Operational risk: remote import intentionally avoids plaintext reads;
operators must understand that imported external references resolve at
runtime and may fail if AWS permissions change.
> For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and
discuss it in `#dev` before opening the PR. Feature PRs that overlap
with planned core work may need to be redirected — check the roadmap
first. See `CONTRIBUTING.md`.
## Model Used
- OpenAI Codex, GPT-5 coding agent with local shell/tool use in the
Paperclip worktree. Exact context-window size was not exposed by the
runtime.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [ ] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
---------
Co-authored-by: Paperclip <noreply@paperclip.ing>
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-09 18:22:17 -05:00
|
|
|
args: shellCommandArgs(command),
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
cwd: target.remoteCwd,
|
Sanitize remote execution envs at the boundary (#5325)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Adapters spawn CLIs against local, SSH, and sandbox targets,
threading a runtime env through `runAdapterExecutionTargetProcess` and
the SSH/sandbox runners
> - Host identity vars (HOME, TMPDIR, XDG_*, NVM_DIR, PATH) routinely
leak into the env we send to remote targets — sometimes via test probes,
sometimes via runtime config — and break sandboxed/SSH'd CLIs whose own
profiles set those values correctly
> - The sanitization logic existed but lived alongside other helpers in
`server-utils.ts` and was applied piecemeal at adapter callsites, so it
was easy to bypass
> - This pull request lifts the sanitization into a standalone
`remote-execution-env.ts`, applies it at the SSH and sandbox runtime
boundary so every remote spawn goes through it, and removes the
duplicated callsite-level filtering
> - The benefit is identity-bound host env stops leaking across
SSH/sandbox transports regardless of which adapter calls in
## What Changed
- `packages/adapter-utils/src/remote-execution-env.ts`: new module —
single source of truth for which env keys are identity-bound and how to
strip them when the value matches the host's value
- `packages/adapter-utils/src/server-utils.ts`: remove the inline
sanitization (now in `remote-execution-env.ts`)
- `packages/adapter-utils/src/execution-target.ts`: apply sanitization
at the sandbox runtime boundary
- `packages/adapter-utils/src/ssh.ts`: apply sanitization at the SSH
spawn boundary
- `packages/adapters/opencode-local/src/server/test.ts`: drop
now-redundant callsite filtering
- `packages/adapters/pi-local/src/server/test.ts`: drop now-redundant
callsite filtering
- New tests `execution-target.test.ts` and
`execution-target-sandbox.test.ts` cover the sanitizer flow at both
transports, including positive cases (host-shaped path stripped) and
explicit-override preservation
## Verification
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils
--project @paperclipai/adapter-opencode-local --project
@paperclipai/adapter-pi-local`
- `pnpm typecheck` clean
## Risks
Low–medium. The sanitization is now applied at one layer (boundary)
instead of N (callsites), so behavior is more consistent. Any adapter
that previously relied on a leaked host var landing on the remote shell
would now see it stripped — but those reliances were what this change
exists to fix.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable — new tests at both
transports
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 19:30:14 -07:00
|
|
|
env,
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
timeoutMs: (options.timeoutSec ?? 15) * 1000,
|
|
|
|
|
onLog,
|
|
|
|
|
});
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
}
|
|
|
|
|
|
|
|
|
|
return await runAdapterExecutionTargetProcess(
|
|
|
|
|
runId,
|
|
|
|
|
target,
|
|
|
|
|
"sh",
|
|
|
|
|
["-lc", command],
|
|
|
|
|
{
|
|
|
|
|
cwd: options.cwd,
|
|
|
|
|
env: options.env,
|
|
|
|
|
timeoutSec: options.timeoutSec ?? 15,
|
|
|
|
|
graceSec: options.graceSec ?? 5,
|
|
|
|
|
onLog,
|
|
|
|
|
},
|
|
|
|
|
);
|
|
|
|
|
}
|
|
|
|
|
|
Wire per-adapter sandbox install commands through test and execute paths (#5280)
> **Stacked PR.** Sits on top of the e2b sandbox chain — #5278 (stdin
staging) and #5279 (honest-resolvability + login-profiles). The
cumulative diff against `master` includes both of those PRs' content;
the files touched by *this* PR's commit are the new
`maybeRunSandboxInstallCommand` helper in
`packages/adapter-utils/src/execution-target.ts` and the per-adapter
`index.ts`/`server/test.ts`/`server/execute.ts` wiring under
`packages/adapters/{claude,codex,cursor,gemini,opencode,pi}-local/`. The
honest resolvability check from #5279 is what gives this PR's install
command a meaningful "did it actually land on PATH" follow-up.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Sandbox execution targets are ephemeral — each fresh lease starts
from a template image that may or may not have the agent CLIs
preinstalled
> - When a CLI isn't preinstalled, the resolvability probe fails at
`command -v` and the hello probe never runs
> - There's no shared mechanism for "before you probe or provision,
install the CLI on this sandbox"
> - This pull request adds a `SANDBOX_INSTALL_COMMAND` constant per
adapter and a `maybeRunSandboxInstallCommand` helper that runs it via
the existing sandbox login shell, captures structured output, and never
throws (so the resolvability + hello probe still run after); each
adapter's `test()` and `execute()` share the constant so the two
callsites can't drift
> - The benefit is a fresh sandbox lease without a preinstalled CLI now
installs it once via `sh -lc` before the resolvability probe and before
managed-runtime provisioning, with a uniform
`<adapter>_install_command_run` check on the test report
## What Changed
- `packages/adapter-utils/src/execution-target.ts`: add
`AdapterSandboxInstallCommandCheck` and `maybeRunSandboxInstallCommand`
(runs the install via existing sandbox shell, captures
exit/stdout/stderr, returns a structured info/warn check, never throws)
- Add `SANDBOX_INSTALL_COMMAND` to each adapter's `index.ts` so `test()`
and `execute()` share a single source of truth
- Wire each of the 6 affected adapter `testEnvironment()`s to call
`maybeRunSandboxInstallCommand` before
`ensureAdapterExecutionTargetCommandResolvable`
- Pass `installCommand: SANDBOX_INSTALL_COMMAND` through
`prepareAdapterExecutionTargetRuntime` in each adapter's `execute()`
- Per-adapter install commands use npm globals where possible so
binaries land on a PATH segment the template already exports:
- claude → `npm install -g @anthropic-ai/claude-code`
- codex → `npm install -g @openai/codex`
- cursor → `curl https://cursor.com/install -fsS | bash`
- gemini → `npm install -g @google/gemini-cli`
- opencode → `npm install -g opencode-ai`
- pi → `npm install -g @mariozechner/pi-coding-agent`
SSH and local targets ignore `installCommand` (SSH runtime takes no such
param; local short-circuits before runtime prep), so this is a no-op for
non-sandbox environments.
## Verification
- `pnpm typecheck` clean
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils`
and per-adapter projects pass
- Manual sandbox matrix (claude, codex, cursor, gemini, opencode, pi) —
each goes `install_command_run → resolvable → hello_probe_passed` (Codex
and Pi land on `hello_probe_auth_required`, which is the
configured-credentials problem, not an install issue)
- SSH no-regression: SSH Claude still passes; the helper short-circuits
on non-sandbox targets
## Risks
Medium — adds a network/CPU cost (npm install / curl) on every fresh
sandbox lease. Cost is bounded (one-time per lease, typically tens of
seconds for npm globals), and the helper never throws so a failing
install still lets the report run resolvability and hello probes. If a
sandbox image already has the CLI, the install is an idempotent
reinstall.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 08:29:28 -07:00
|
|
|
export interface AdapterSandboxInstallCommandCheck {
|
|
|
|
|
code: string;
|
|
|
|
|
level: "info" | "warn" | "error";
|
|
|
|
|
message: string;
|
|
|
|
|
detail?: string;
|
|
|
|
|
hint?: string;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// Best-effort run of an adapter-supplied install command on a sandbox target
|
|
|
|
|
// before the resolvability + hello probe. Returns null for non-sandbox
|
|
|
|
|
// targets so callers can no-op. Returns a structured check otherwise — never
|
|
|
|
|
// throws — so the rest of the test still runs and reports the post-install
|
|
|
|
|
// state honestly. Caller pushes the check into its result array; the test
|
|
|
|
|
// report shows whether install was attempted and what came back.
|
|
|
|
|
export async function maybeRunSandboxInstallCommand(input: {
|
|
|
|
|
runId: string;
|
|
|
|
|
target: AdapterExecutionTarget | null | undefined;
|
|
|
|
|
adapterKey: string;
|
|
|
|
|
installCommand: string;
|
|
|
|
|
/** When provided, skip the install if `command -v <detectCommand>` succeeds. */
|
|
|
|
|
detectCommand?: string | null;
|
|
|
|
|
env?: Record<string, string>;
|
|
|
|
|
timeoutSec?: number;
|
|
|
|
|
}): Promise<AdapterSandboxInstallCommandCheck | null> {
|
|
|
|
|
const { target, adapterKey, installCommand } = input;
|
|
|
|
|
if (!target || target.kind !== "remote" || target.transport !== "sandbox") {
|
|
|
|
|
return null;
|
|
|
|
|
}
|
|
|
|
|
const trimmed = installCommand.trim();
|
|
|
|
|
if (trimmed.length === 0) return null;
|
|
|
|
|
|
|
|
|
|
const code = `${adapterKey}_install_command_run`;
|
|
|
|
|
|
|
|
|
|
// Skip install when the binary is already on PATH. Avoids running
|
|
|
|
|
// network-dependent installers (e.g. `curl ... | bash`) on every test
|
|
|
|
|
// probe when the CLI is preinstalled on the lease/template.
|
|
|
|
|
const detectCommand = input.detectCommand?.trim();
|
|
|
|
|
if (detectCommand) {
|
|
|
|
|
try {
|
|
|
|
|
const probe = await runAdapterExecutionTargetShellCommand(
|
|
|
|
|
input.runId,
|
|
|
|
|
target,
|
|
|
|
|
`command -v ${shellQuote(detectCommand)} >/dev/null 2>&1`,
|
|
|
|
|
{
|
|
|
|
|
cwd: target.remoteCwd,
|
|
|
|
|
env: input.env ?? {},
|
|
|
|
|
timeoutSec: 30,
|
|
|
|
|
graceSec: 5,
|
|
|
|
|
},
|
|
|
|
|
);
|
|
|
|
|
if (!probe.timedOut && probe.exitCode === 0) {
|
|
|
|
|
return {
|
|
|
|
|
code,
|
|
|
|
|
level: "info",
|
|
|
|
|
message: `${detectCommand} already on PATH; skipped install.`,
|
|
|
|
|
};
|
|
|
|
|
}
|
|
|
|
|
} catch {
|
|
|
|
|
// Fall through to actually running the install — failure to probe
|
|
|
|
|
// is not a reason to skip the install gate.
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
let result;
|
|
|
|
|
try {
|
|
|
|
|
result = await runAdapterExecutionTargetShellCommand(input.runId, target, trimmed, {
|
|
|
|
|
cwd: target.remoteCwd,
|
|
|
|
|
env: input.env ?? {},
|
|
|
|
|
timeoutSec: input.timeoutSec ?? 240,
|
|
|
|
|
graceSec: 10,
|
|
|
|
|
});
|
|
|
|
|
} catch (err) {
|
|
|
|
|
return {
|
|
|
|
|
code,
|
|
|
|
|
level: "warn",
|
|
|
|
|
message: "Install command threw before completion.",
|
|
|
|
|
detail: err instanceof Error ? err.message : String(err),
|
|
|
|
|
};
|
|
|
|
|
}
|
|
|
|
|
const tail = (text: string) =>
|
|
|
|
|
text.split(/\r?\n/).filter((line) => line.trim().length > 0).slice(-3).join(" | ").slice(0, 480);
|
|
|
|
|
if (result.timedOut) {
|
|
|
|
|
return {
|
|
|
|
|
code,
|
|
|
|
|
level: "warn",
|
|
|
|
|
message: `Install command timed out: ${trimmed}`,
|
|
|
|
|
detail: tail(result.stderr || result.stdout),
|
|
|
|
|
};
|
|
|
|
|
}
|
|
|
|
|
if ((result.exitCode ?? 1) === 0) {
|
|
|
|
|
return {
|
|
|
|
|
code,
|
|
|
|
|
level: "info",
|
|
|
|
|
message: `Install command ran: ${trimmed}`,
|
|
|
|
|
...(tail(result.stdout) ? { detail: tail(result.stdout) } : {}),
|
|
|
|
|
};
|
|
|
|
|
}
|
|
|
|
|
return {
|
|
|
|
|
code,
|
|
|
|
|
level: "warn",
|
|
|
|
|
message: `Install command exited ${result.exitCode}: ${trimmed}`,
|
|
|
|
|
detail: tail(result.stderr || result.stdout),
|
|
|
|
|
};
|
|
|
|
|
}
|
|
|
|
|
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
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export async function readAdapterExecutionTargetHomeDir(
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runId: string,
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target: AdapterExecutionTarget | null | undefined,
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options: AdapterExecutionTargetShellOptions,
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|
): Promise<string | null> {
|
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const result = await runAdapterExecutionTargetShellCommand(
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runId,
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target,
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'printf %s "$HOME"',
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options,
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);
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const homeDir = result.stdout.trim();
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return homeDir.length > 0 ? homeDir : null;
|
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}
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|
Let adapters declare runtime command spec for remote provisioning (#5141)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies, running
adapter
> commands like `claude`, `codex`, `pi` either locally or on remote
runtimes
> (SSH hosts, sandboxes, etc.)
> - On a fresh remote runtime — particularly an ephemeral sandbox — the
> adapter's CLI may not be installed yet. Today operators handle this
via
> external configuration (e.g. a project-level `provisionCommand` shell
> script) that has to know about every adapter the operator might want
to use
> - This means every adapter has its own well-known npm package, but
operators
> end up writing duplicate provision shell scripts that paste together
> `npm install -g @anthropic-ai/claude-code`, `npm install -g
@openai/codex`,
> etc. — knowledge the adapter itself already has
> - This PR moves that knowledge into the adapter modules: each adapter
declares
> how its runtime command should be detected and (if applicable)
installed
> via `getRuntimeCommandSpec(config)`. The execution path runs the
adapter's
> own install command on remote sandbox targets before launching, so a
fresh
> sandbox bootstraps itself instead of requiring a hand-written
provision script
> - The benefit is fewer footguns for operators provisioning remote
runtimes,
> and a clean place for new adapters to plug in their install recipe
## What Changed
- New types in `packages/adapter-utils/src/types.ts`:
- `AdapterRuntimeCommandSpec` describing `command`, optional
`detectCommand`, and optional `installCommand`
- Optional `getRuntimeCommandSpec(config)` on `ServerAdapterModule`
- Optional `runtimeCommandSpec` on `AdapterExecutionContext` so adapters
receive the resolved spec at execute time
- New helper `ensureAdapterExecutionTargetRuntimeCommandInstalled(...)`
in
`packages/adapter-utils/src/execution-target.ts` that runs the install
command
on remote targets when `transport === "sandbox"`. SSH and local targets
are
no-ops. Throws on timeout or non-zero exit so failures surface early.
- Each of `claude-local`, `codex-local`, `cursor-local`, `gemini-local`,
`opencode-local`, `pi-local`'s `execute.ts` now reads
`ctx.runtimeCommandSpec?.installCommand` and calls the helper before
launching
the adapter command.
- `server/src/adapters/registry.ts` declares `getRuntimeCommandSpec` for
each
adapter:
- claude/codex/gemini/opencode/pi-local: `npm install -g <package>`
recipe via
a shared `buildNpmRuntimeCommandSpec` helper, with a defensive guard
that
only auto-installs when the configured `command` matches the well-known
fallback (custom binaries are left alone).
- cursor-local: declares `command` only; no auto-install (no public npm
package), preserving the existing manual setup.
- `server/src/services/heartbeat.ts` resolves the spec via
`adapter.getRuntimeCommandSpec?.(runtimeConfig)` and passes it through
to
`AdapterExecutionContext`.
- Tests added in `execution-target.test.ts` (~75 lines), e2b
`plugin.test.ts` (~32 lines), and `environment-run-orchestrator.test.ts`
(~76 lines).
## Verification
- `pnpm --filter @paperclipai/adapter-utils test`
- `pnpm --filter @paperclipai/server test --
environment-run-orchestrator`
- `pnpm --filter @paperclipai/sandbox-providers-e2b test`
- Manual QA: run an adapter (claude/codex/etc.) against a fresh
sandbox-backed
environment that does NOT have the adapter CLI pre-installed. Confirm
the
install runs once at the start of the agent run and the adapter then
launches
successfully. Re-run on the same sandbox; confirm the install command is
idempotent and the second run starts faster.
- Confirm SSH and local execution paths are unaffected (gated by
`transport === "sandbox"`).
## Risks
- Behavioural shift on sandbox runs: a new install step now runs at the
start
of every sandbox agent run for adapters with `installCommand` set. The
install commands are idempotent (`if ! command -v X >/dev/null 2>&1;
then
npm install -g <pkg>; fi`), so this is fast on warm sandboxes. On a cold
sandbox, the first run takes longer.
- Operators who used the legacy project-level `provisionCommand` to
install
adapter CLIs can drop that part of their script; the adapter handles it
now.
Existing scripts continue to work — installs are idempotent.
- The cursor-local adapter has no auto-install (no public npm package).
Behaviour for cursor-local on sandboxes is unchanged.
- New optional surface on `ServerAdapterModule`. Plugins that don't
implement
`getRuntimeCommandSpec` retain previous behaviour (no auto-install).
## Model Used
- OpenAI GPT-5.4 (reasoning effort: high) via Codex CLI
- Provider: OpenAI
- Used to author the code changes in this PR
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots — N/A
- [ ] I have updated relevant documentation to reflect my changes — N/A
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-03 18:35:36 -07:00
|
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export async function ensureAdapterExecutionTargetRuntimeCommandInstalled(input: {
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runId: string;
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target: AdapterExecutionTarget | null | undefined;
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installCommand?: string | null;
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detectCommand?: string | null;
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cwd: string;
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env: Record<string, string>;
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timeoutSec?: number;
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graceSec?: number;
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onLog?: AdapterExecutionTargetShellOptions["onLog"];
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}): Promise<void> {
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const installCommand = input.installCommand?.trim();
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if (!installCommand || input.target?.kind !== "remote" || input.target.transport !== "sandbox") {
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return;
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}
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const detectCommand = input.detectCommand?.trim();
|
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if (detectCommand) {
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const probe = await runAdapterExecutionTargetShellCommand(
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input.runId,
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input.target,
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`command -v ${shellQuote(detectCommand)} >/dev/null 2>&1`,
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{
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cwd: input.cwd,
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env: input.env,
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timeoutSec: input.timeoutSec,
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graceSec: input.graceSec,
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},
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);
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if (!probe.timedOut && probe.exitCode === 0) {
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return;
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}
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}
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const result = await runAdapterExecutionTargetShellCommand(
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input.runId,
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input.target,
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installCommand,
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{
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cwd: input.cwd,
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env: input.env,
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timeoutSec: input.timeoutSec,
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graceSec: input.graceSec,
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onLog: input.onLog,
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},
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);
|
Wire per-adapter sandbox install commands through test and execute paths (#5280)
> **Stacked PR.** Sits on top of the e2b sandbox chain — #5278 (stdin
staging) and #5279 (honest-resolvability + login-profiles). The
cumulative diff against `master` includes both of those PRs' content;
the files touched by *this* PR's commit are the new
`maybeRunSandboxInstallCommand` helper in
`packages/adapter-utils/src/execution-target.ts` and the per-adapter
`index.ts`/`server/test.ts`/`server/execute.ts` wiring under
`packages/adapters/{claude,codex,cursor,gemini,opencode,pi}-local/`. The
honest resolvability check from #5279 is what gives this PR's install
command a meaningful "did it actually land on PATH" follow-up.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Sandbox execution targets are ephemeral — each fresh lease starts
from a template image that may or may not have the agent CLIs
preinstalled
> - When a CLI isn't preinstalled, the resolvability probe fails at
`command -v` and the hello probe never runs
> - There's no shared mechanism for "before you probe or provision,
install the CLI on this sandbox"
> - This pull request adds a `SANDBOX_INSTALL_COMMAND` constant per
adapter and a `maybeRunSandboxInstallCommand` helper that runs it via
the existing sandbox login shell, captures structured output, and never
throws (so the resolvability + hello probe still run after); each
adapter's `test()` and `execute()` share the constant so the two
callsites can't drift
> - The benefit is a fresh sandbox lease without a preinstalled CLI now
installs it once via `sh -lc` before the resolvability probe and before
managed-runtime provisioning, with a uniform
`<adapter>_install_command_run` check on the test report
## What Changed
- `packages/adapter-utils/src/execution-target.ts`: add
`AdapterSandboxInstallCommandCheck` and `maybeRunSandboxInstallCommand`
(runs the install via existing sandbox shell, captures
exit/stdout/stderr, returns a structured info/warn check, never throws)
- Add `SANDBOX_INSTALL_COMMAND` to each adapter's `index.ts` so `test()`
and `execute()` share a single source of truth
- Wire each of the 6 affected adapter `testEnvironment()`s to call
`maybeRunSandboxInstallCommand` before
`ensureAdapterExecutionTargetCommandResolvable`
- Pass `installCommand: SANDBOX_INSTALL_COMMAND` through
`prepareAdapterExecutionTargetRuntime` in each adapter's `execute()`
- Per-adapter install commands use npm globals where possible so
binaries land on a PATH segment the template already exports:
- claude → `npm install -g @anthropic-ai/claude-code`
- codex → `npm install -g @openai/codex`
- cursor → `curl https://cursor.com/install -fsS | bash`
- gemini → `npm install -g @google/gemini-cli`
- opencode → `npm install -g opencode-ai`
- pi → `npm install -g @mariozechner/pi-coding-agent`
SSH and local targets ignore `installCommand` (SSH runtime takes no such
param; local short-circuits before runtime prep), so this is a no-op for
non-sandbox environments.
## Verification
- `pnpm typecheck` clean
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils`
and per-adapter projects pass
- Manual sandbox matrix (claude, codex, cursor, gemini, opencode, pi) —
each goes `install_command_run → resolvable → hello_probe_passed` (Codex
and Pi land on `hello_probe_auth_required`, which is the
configured-credentials problem, not an install issue)
- SSH no-regression: SSH Claude still passes; the helper short-circuits
on non-sandbox targets
## Risks
Medium — adds a network/CPU cost (npm install / curl) on every fresh
sandbox lease. Cost is bounded (one-time per lease, typically tens of
seconds for npm globals), and the helper never throws so a failing
install still lets the report run resolvability and hello probes. If a
sandbox image already has the CLI, the install is an idempotent
reinstall.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 08:29:28 -07:00
|
|
|
|
|
|
|
|
// A failed or timed-out install is not necessarily fatal: the CLI may already
|
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|
|
|
// be on PATH from a previous lease's install, the template image, or another
|
|
|
|
|
// path entry. Re-run the detect probe (when one is configured) so a transient
|
|
|
|
|
// install failure does not abort the agent run when the binary is reachable.
|
|
|
|
|
const installFailed = result.timedOut || (result.exitCode ?? 0) !== 0;
|
|
|
|
|
if (!installFailed) {
|
|
|
|
|
return;
|
|
|
|
|
}
|
|
|
|
|
if (detectCommand) {
|
|
|
|
|
const recheck = await runAdapterExecutionTargetShellCommand(
|
|
|
|
|
input.runId,
|
|
|
|
|
input.target,
|
|
|
|
|
`command -v ${shellQuote(detectCommand)} >/dev/null 2>&1`,
|
|
|
|
|
{
|
|
|
|
|
cwd: input.cwd,
|
|
|
|
|
env: input.env,
|
|
|
|
|
timeoutSec: input.timeoutSec,
|
|
|
|
|
graceSec: input.graceSec,
|
|
|
|
|
},
|
|
|
|
|
);
|
|
|
|
|
if (!recheck.timedOut && recheck.exitCode === 0) {
|
|
|
|
|
if (input.onLog) {
|
|
|
|
|
const reason = result.timedOut ? "timed out" : `exited ${result.exitCode ?? "?"}`;
|
|
|
|
|
await input.onLog(
|
|
|
|
|
"stderr",
|
|
|
|
|
`[paperclip] Install command ${reason} (${installCommand}) but ${detectCommand} is on PATH; continuing.\n`,
|
|
|
|
|
);
|
|
|
|
|
}
|
|
|
|
|
return;
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
Let adapters declare runtime command spec for remote provisioning (#5141)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies, running
adapter
> commands like `claude`, `codex`, `pi` either locally or on remote
runtimes
> (SSH hosts, sandboxes, etc.)
> - On a fresh remote runtime — particularly an ephemeral sandbox — the
> adapter's CLI may not be installed yet. Today operators handle this
via
> external configuration (e.g. a project-level `provisionCommand` shell
> script) that has to know about every adapter the operator might want
to use
> - This means every adapter has its own well-known npm package, but
operators
> end up writing duplicate provision shell scripts that paste together
> `npm install -g @anthropic-ai/claude-code`, `npm install -g
@openai/codex`,
> etc. — knowledge the adapter itself already has
> - This PR moves that knowledge into the adapter modules: each adapter
declares
> how its runtime command should be detected and (if applicable)
installed
> via `getRuntimeCommandSpec(config)`. The execution path runs the
adapter's
> own install command on remote sandbox targets before launching, so a
fresh
> sandbox bootstraps itself instead of requiring a hand-written
provision script
> - The benefit is fewer footguns for operators provisioning remote
runtimes,
> and a clean place for new adapters to plug in their install recipe
## What Changed
- New types in `packages/adapter-utils/src/types.ts`:
- `AdapterRuntimeCommandSpec` describing `command`, optional
`detectCommand`, and optional `installCommand`
- Optional `getRuntimeCommandSpec(config)` on `ServerAdapterModule`
- Optional `runtimeCommandSpec` on `AdapterExecutionContext` so adapters
receive the resolved spec at execute time
- New helper `ensureAdapterExecutionTargetRuntimeCommandInstalled(...)`
in
`packages/adapter-utils/src/execution-target.ts` that runs the install
command
on remote targets when `transport === "sandbox"`. SSH and local targets
are
no-ops. Throws on timeout or non-zero exit so failures surface early.
- Each of `claude-local`, `codex-local`, `cursor-local`, `gemini-local`,
`opencode-local`, `pi-local`'s `execute.ts` now reads
`ctx.runtimeCommandSpec?.installCommand` and calls the helper before
launching
the adapter command.
- `server/src/adapters/registry.ts` declares `getRuntimeCommandSpec` for
each
adapter:
- claude/codex/gemini/opencode/pi-local: `npm install -g <package>`
recipe via
a shared `buildNpmRuntimeCommandSpec` helper, with a defensive guard
that
only auto-installs when the configured `command` matches the well-known
fallback (custom binaries are left alone).
- cursor-local: declares `command` only; no auto-install (no public npm
package), preserving the existing manual setup.
- `server/src/services/heartbeat.ts` resolves the spec via
`adapter.getRuntimeCommandSpec?.(runtimeConfig)` and passes it through
to
`AdapterExecutionContext`.
- Tests added in `execution-target.test.ts` (~75 lines), e2b
`plugin.test.ts` (~32 lines), and `environment-run-orchestrator.test.ts`
(~76 lines).
## Verification
- `pnpm --filter @paperclipai/adapter-utils test`
- `pnpm --filter @paperclipai/server test --
environment-run-orchestrator`
- `pnpm --filter @paperclipai/sandbox-providers-e2b test`
- Manual QA: run an adapter (claude/codex/etc.) against a fresh
sandbox-backed
environment that does NOT have the adapter CLI pre-installed. Confirm
the
install runs once at the start of the agent run and the adapter then
launches
successfully. Re-run on the same sandbox; confirm the install command is
idempotent and the second run starts faster.
- Confirm SSH and local execution paths are unaffected (gated by
`transport === "sandbox"`).
## Risks
- Behavioural shift on sandbox runs: a new install step now runs at the
start
of every sandbox agent run for adapters with `installCommand` set. The
install commands are idempotent (`if ! command -v X >/dev/null 2>&1;
then
npm install -g <pkg>; fi`), so this is fast on warm sandboxes. On a cold
sandbox, the first run takes longer.
- Operators who used the legacy project-level `provisionCommand` to
install
adapter CLIs can drop that part of their script; the adapter handles it
now.
Existing scripts continue to work — installs are idempotent.
- The cursor-local adapter has no auto-install (no public npm package).
Behaviour for cursor-local on sandboxes is unchanged.
- New optional surface on `ServerAdapterModule`. Plugins that don't
implement
`getRuntimeCommandSpec` retain previous behaviour (no auto-install).
## Model Used
- OpenAI GPT-5.4 (reasoning effort: high) via Codex CLI
- Provider: OpenAI
- Used to author the code changes in this PR
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots — N/A
- [ ] I have updated relevant documentation to reflect my changes — N/A
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-03 18:35:36 -07:00
|
|
|
if (result.timedOut) {
|
|
|
|
|
throw new Error(`Timed out while installing the adapter runtime command via: ${installCommand}`);
|
|
|
|
|
}
|
Wire per-adapter sandbox install commands through test and execute paths (#5280)
> **Stacked PR.** Sits on top of the e2b sandbox chain — #5278 (stdin
staging) and #5279 (honest-resolvability + login-profiles). The
cumulative diff against `master` includes both of those PRs' content;
the files touched by *this* PR's commit are the new
`maybeRunSandboxInstallCommand` helper in
`packages/adapter-utils/src/execution-target.ts` and the per-adapter
`index.ts`/`server/test.ts`/`server/execute.ts` wiring under
`packages/adapters/{claude,codex,cursor,gemini,opencode,pi}-local/`. The
honest resolvability check from #5279 is what gives this PR's install
command a meaningful "did it actually land on PATH" follow-up.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Sandbox execution targets are ephemeral — each fresh lease starts
from a template image that may or may not have the agent CLIs
preinstalled
> - When a CLI isn't preinstalled, the resolvability probe fails at
`command -v` and the hello probe never runs
> - There's no shared mechanism for "before you probe or provision,
install the CLI on this sandbox"
> - This pull request adds a `SANDBOX_INSTALL_COMMAND` constant per
adapter and a `maybeRunSandboxInstallCommand` helper that runs it via
the existing sandbox login shell, captures structured output, and never
throws (so the resolvability + hello probe still run after); each
adapter's `test()` and `execute()` share the constant so the two
callsites can't drift
> - The benefit is a fresh sandbox lease without a preinstalled CLI now
installs it once via `sh -lc` before the resolvability probe and before
managed-runtime provisioning, with a uniform
`<adapter>_install_command_run` check on the test report
## What Changed
- `packages/adapter-utils/src/execution-target.ts`: add
`AdapterSandboxInstallCommandCheck` and `maybeRunSandboxInstallCommand`
(runs the install via existing sandbox shell, captures
exit/stdout/stderr, returns a structured info/warn check, never throws)
- Add `SANDBOX_INSTALL_COMMAND` to each adapter's `index.ts` so `test()`
and `execute()` share a single source of truth
- Wire each of the 6 affected adapter `testEnvironment()`s to call
`maybeRunSandboxInstallCommand` before
`ensureAdapterExecutionTargetCommandResolvable`
- Pass `installCommand: SANDBOX_INSTALL_COMMAND` through
`prepareAdapterExecutionTargetRuntime` in each adapter's `execute()`
- Per-adapter install commands use npm globals where possible so
binaries land on a PATH segment the template already exports:
- claude → `npm install -g @anthropic-ai/claude-code`
- codex → `npm install -g @openai/codex`
- cursor → `curl https://cursor.com/install -fsS | bash`
- gemini → `npm install -g @google/gemini-cli`
- opencode → `npm install -g opencode-ai`
- pi → `npm install -g @mariozechner/pi-coding-agent`
SSH and local targets ignore `installCommand` (SSH runtime takes no such
param; local short-circuits before runtime prep), so this is a no-op for
non-sandbox environments.
## Verification
- `pnpm typecheck` clean
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils`
and per-adapter projects pass
- Manual sandbox matrix (claude, codex, cursor, gemini, opencode, pi) —
each goes `install_command_run → resolvable → hello_probe_passed` (Codex
and Pi land on `hello_probe_auth_required`, which is the
configured-credentials problem, not an install issue)
- SSH no-regression: SSH Claude still passes; the helper short-circuits
on non-sandbox targets
## Risks
Medium — adds a network/CPU cost (npm install / curl) on every fresh
sandbox lease. Cost is bounded (one-time per lease, typically tens of
seconds for npm globals), and the helper never throws so a failing
install still lets the report run resolvability and hello probes. If a
sandbox image already has the CLI, the install is an idempotent
reinstall.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 08:29:28 -07:00
|
|
|
throw new Error(`Failed to install the adapter runtime command via: ${installCommand}`);
|
Let adapters declare runtime command spec for remote provisioning (#5141)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies, running
adapter
> commands like `claude`, `codex`, `pi` either locally or on remote
runtimes
> (SSH hosts, sandboxes, etc.)
> - On a fresh remote runtime — particularly an ephemeral sandbox — the
> adapter's CLI may not be installed yet. Today operators handle this
via
> external configuration (e.g. a project-level `provisionCommand` shell
> script) that has to know about every adapter the operator might want
to use
> - This means every adapter has its own well-known npm package, but
operators
> end up writing duplicate provision shell scripts that paste together
> `npm install -g @anthropic-ai/claude-code`, `npm install -g
@openai/codex`,
> etc. — knowledge the adapter itself already has
> - This PR moves that knowledge into the adapter modules: each adapter
declares
> how its runtime command should be detected and (if applicable)
installed
> via `getRuntimeCommandSpec(config)`. The execution path runs the
adapter's
> own install command on remote sandbox targets before launching, so a
fresh
> sandbox bootstraps itself instead of requiring a hand-written
provision script
> - The benefit is fewer footguns for operators provisioning remote
runtimes,
> and a clean place for new adapters to plug in their install recipe
## What Changed
- New types in `packages/adapter-utils/src/types.ts`:
- `AdapterRuntimeCommandSpec` describing `command`, optional
`detectCommand`, and optional `installCommand`
- Optional `getRuntimeCommandSpec(config)` on `ServerAdapterModule`
- Optional `runtimeCommandSpec` on `AdapterExecutionContext` so adapters
receive the resolved spec at execute time
- New helper `ensureAdapterExecutionTargetRuntimeCommandInstalled(...)`
in
`packages/adapter-utils/src/execution-target.ts` that runs the install
command
on remote targets when `transport === "sandbox"`. SSH and local targets
are
no-ops. Throws on timeout or non-zero exit so failures surface early.
- Each of `claude-local`, `codex-local`, `cursor-local`, `gemini-local`,
`opencode-local`, `pi-local`'s `execute.ts` now reads
`ctx.runtimeCommandSpec?.installCommand` and calls the helper before
launching
the adapter command.
- `server/src/adapters/registry.ts` declares `getRuntimeCommandSpec` for
each
adapter:
- claude/codex/gemini/opencode/pi-local: `npm install -g <package>`
recipe via
a shared `buildNpmRuntimeCommandSpec` helper, with a defensive guard
that
only auto-installs when the configured `command` matches the well-known
fallback (custom binaries are left alone).
- cursor-local: declares `command` only; no auto-install (no public npm
package), preserving the existing manual setup.
- `server/src/services/heartbeat.ts` resolves the spec via
`adapter.getRuntimeCommandSpec?.(runtimeConfig)` and passes it through
to
`AdapterExecutionContext`.
- Tests added in `execution-target.test.ts` (~75 lines), e2b
`plugin.test.ts` (~32 lines), and `environment-run-orchestrator.test.ts`
(~76 lines).
## Verification
- `pnpm --filter @paperclipai/adapter-utils test`
- `pnpm --filter @paperclipai/server test --
environment-run-orchestrator`
- `pnpm --filter @paperclipai/sandbox-providers-e2b test`
- Manual QA: run an adapter (claude/codex/etc.) against a fresh
sandbox-backed
environment that does NOT have the adapter CLI pre-installed. Confirm
the
install runs once at the start of the agent run and the adapter then
launches
successfully. Re-run on the same sandbox; confirm the install command is
idempotent and the second run starts faster.
- Confirm SSH and local execution paths are unaffected (gated by
`transport === "sandbox"`).
## Risks
- Behavioural shift on sandbox runs: a new install step now runs at the
start
of every sandbox agent run for adapters with `installCommand` set. The
install commands are idempotent (`if ! command -v X >/dev/null 2>&1;
then
npm install -g <pkg>; fi`), so this is fast on warm sandboxes. On a cold
sandbox, the first run takes longer.
- Operators who used the legacy project-level `provisionCommand` to
install
adapter CLIs can drop that part of their script; the adapter handles it
now.
Existing scripts continue to work — installs are idempotent.
- The cursor-local adapter has no auto-install (no public npm package).
Behaviour for cursor-local on sandboxes is unchanged.
- New optional surface on `ServerAdapterModule`. Plugins that don't
implement
`getRuntimeCommandSpec` retain previous behaviour (no auto-install).
## Model Used
- OpenAI GPT-5.4 (reasoning effort: high) via Codex CLI
- Provider: OpenAI
- Used to author the code changes in this PR
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots — N/A
- [ ] I have updated relevant documentation to reflect my changes — N/A
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-03 18:35:36 -07:00
|
|
|
}
|
|
|
|
|
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
export async function ensureAdapterExecutionTargetFile(
|
|
|
|
|
runId: string,
|
|
|
|
|
target: AdapterExecutionTarget | null | undefined,
|
|
|
|
|
filePath: string,
|
|
|
|
|
options: AdapterExecutionTargetShellOptions,
|
|
|
|
|
): Promise<void> {
|
|
|
|
|
await runAdapterExecutionTargetShellCommand(
|
|
|
|
|
runId,
|
|
|
|
|
target,
|
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|
|
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`mkdir -p ${shellQuote(path.posix.dirname(filePath))} && : > ${shellQuote(filePath)}`,
|
|
|
|
|
options,
|
|
|
|
|
);
|
|
|
|
|
}
|
|
|
|
|
|
Add dedicated environment settings page and test-in-environment (#4798)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents run inside environments (local, SSH, E2B sandbox)
> - Operators need to configure and manage these environments
> - But environment settings were buried inside the general company
settings page, making them hard to find
> - Additionally, when testing an agent from the configuration form, the
test always ran locally regardless of which environment was selected
> - This PR moves environments into a dedicated top-level company
settings section and wires the "Test Environment" button to run inside
the selected environment
> - The benefit is operators can find and manage environments more
easily, and the test button now validates the actual environment the
agent will use
## What Changed
- Added a dedicated `CompanyEnvironments` settings page with its own
route and sidebar entry
- Updated `CompanySettingsSidebar` and `CompanySettingsNav` to include
the new environments section
- Modified the agent test route (`POST /agents/:id/test`) to accept an
optional `environmentId` parameter
- Updated all adapter `test.ts` handlers to resolve and use the
specified execution target environment
- Added `resolveTestExecutionTarget` to `execution-target.ts` for remote
environment test resolution with cwd fallback
- Moved the "Test Environment" button and its feedback display into the
`NewAgent` page footer for better UX flow
## Verification
- `pnpm test` — all existing and new tests pass
- `pnpm typecheck` — clean
- Manual: navigate to Company Settings, confirm "Environments" appears
as a top-level section
- Manual: configure an agent with a non-local environment, click "Test
Environment", confirm the test runs inside that environment
## Risks
- Low risk. UI-only routing change for the settings page. The
test-in-environment change adds an optional parameter with a local
fallback, so existing behavior is preserved when no environment is
specified.
## Model Used
Codex GPT 5.4 high via Paperclip.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-29 15:56:13 -07:00
|
|
|
/**
|
|
|
|
|
* Ensure a working directory exists (and is a directory) on the execution target.
|
|
|
|
|
*
|
|
|
|
|
* For local targets this delegates to the local `ensureAbsoluteDirectory` helper
|
|
|
|
|
* (Node fs). For remote (SSH/sandbox) targets it shells out and runs
|
|
|
|
|
* `mkdir -p` (when allowed) followed by a `[ -d ]` check so the result reflects
|
|
|
|
|
* the directory state inside the environment, not on the Paperclip host.
|
|
|
|
|
*
|
|
|
|
|
* Throws an Error with a human-readable message on failure.
|
|
|
|
|
*/
|
|
|
|
|
export async function ensureAdapterExecutionTargetDirectory(
|
|
|
|
|
runId: string,
|
|
|
|
|
target: AdapterExecutionTarget | null | undefined,
|
|
|
|
|
cwd: string,
|
|
|
|
|
options: AdapterExecutionTargetShellOptions & { createIfMissing?: boolean },
|
|
|
|
|
): Promise<void> {
|
|
|
|
|
const createIfMissing = options.createIfMissing ?? false;
|
|
|
|
|
|
|
|
|
|
if (!target || target.kind === "local") {
|
|
|
|
|
const { ensureAbsoluteDirectory } = await import("./server-utils.js");
|
|
|
|
|
await ensureAbsoluteDirectory(cwd, { createIfMissing });
|
|
|
|
|
return;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// Remote (SSH or sandbox): both expect POSIX absolute paths inside the env.
|
|
|
|
|
if (!cwd.startsWith("/")) {
|
|
|
|
|
throw new Error(`Working directory must be an absolute POSIX path on the remote target: "${cwd}"`);
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
const quoted = shellQuote(cwd);
|
|
|
|
|
const script = createIfMissing
|
|
|
|
|
? `mkdir -p ${quoted} && [ -d ${quoted} ]`
|
|
|
|
|
: `[ -d ${quoted} ]`;
|
|
|
|
|
|
|
|
|
|
const result = await runAdapterExecutionTargetShellCommand(runId, target, script, {
|
|
|
|
|
cwd: target.kind === "remote" ? target.remoteCwd : cwd,
|
|
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|
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env: options.env,
|
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|
|
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timeoutSec: options.timeoutSec ?? 15,
|
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|
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graceSec: options.graceSec ?? 5,
|
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|
|
onLog: options.onLog,
|
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|
|
});
|
|
|
|
|
|
|
|
|
|
if (result.timedOut) {
|
|
|
|
|
throw new Error(`Timed out checking working directory on remote target: "${cwd}"`);
|
|
|
|
|
}
|
|
|
|
|
if ((result.exitCode ?? 1) !== 0) {
|
|
|
|
|
const detail = (result.stderr || result.stdout || "").trim();
|
|
|
|
|
if (createIfMissing) {
|
|
|
|
|
throw new Error(
|
|
|
|
|
`Could not create working directory "${cwd}" on remote target${detail ? `: ${detail}` : "."}`,
|
|
|
|
|
);
|
|
|
|
|
}
|
|
|
|
|
throw new Error(
|
|
|
|
|
`Working directory does not exist on remote target: "${cwd}"${detail ? ` (${detail})` : ""}`,
|
|
|
|
|
);
|
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|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
export function adapterExecutionTargetSessionIdentity(
|
|
|
|
|
target: AdapterExecutionTarget | null | undefined,
|
|
|
|
|
): Record<string, unknown> | null {
|
|
|
|
|
if (!target || target.kind === "local") return null;
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
if (target.transport === "ssh") return buildRemoteExecutionSessionIdentity(target.spec);
|
|
|
|
|
return {
|
|
|
|
|
transport: "sandbox",
|
|
|
|
|
providerKey: target.providerKey ?? null,
|
|
|
|
|
environmentId: target.environmentId ?? null,
|
|
|
|
|
leaseId: target.leaseId ?? null,
|
|
|
|
|
remoteCwd: target.remoteCwd,
|
|
|
|
|
};
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
}
|
|
|
|
|
|
|
|
|
|
export function adapterExecutionTargetSessionMatches(
|
|
|
|
|
saved: unknown,
|
|
|
|
|
target: AdapterExecutionTarget | null | undefined,
|
|
|
|
|
): boolean {
|
|
|
|
|
if (!target || target.kind === "local") {
|
|
|
|
|
return Object.keys(parseObject(saved)).length === 0;
|
|
|
|
|
}
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
if (target.transport === "ssh") return remoteExecutionSessionMatches(saved, target.spec);
|
|
|
|
|
const current = adapterExecutionTargetSessionIdentity(target);
|
|
|
|
|
const parsedSaved = parseObject(saved);
|
|
|
|
|
return (
|
|
|
|
|
readStringMeta(parsedSaved, "transport") === current?.transport &&
|
|
|
|
|
readStringMeta(parsedSaved, "providerKey") === current?.providerKey &&
|
|
|
|
|
readStringMeta(parsedSaved, "environmentId") === current?.environmentId &&
|
|
|
|
|
readStringMeta(parsedSaved, "leaseId") === current?.leaseId &&
|
Migrate SSH environment callback to bridge (#5116)
> **Stacked PR (part 3 of 7).** Depends on:
- PR #5114
- PR #5115
> Diff against `master` includes commits from earlier PRs in the stack —
the new commit in this PR is the topmost one.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents executing on a remote SSH-backed environment need a way to
call back into
> the Paperclip control plane (run events, log streaming, signals)
> - When the SSH host can't reach the Paperclip host (NAT, firewalls, or
simply not
> on the same network), the run silently fails or hangs — a recurring
class of
> failure during SSH testing
> - In sandboxed environments we already solved this with a callback
bridge that
> tunnels back through the existing connection; SSH was the odd one out
> - This PR migrates SSH execution to use the same callback bridge, so
every
> adapter's remote run uses one consistent reverse-channel. Per-adapter
SSH glue
> is deleted in favour of a shared `CommandManagedRuntimeRunner` built
from the
> SSH spec
> - The benefit is fewer SSH-specific failure modes, a smaller code
surface, and
> one place to evolve the callback contract going forward
## What Changed
- Added `createSshCommandManagedRuntimeRunner` in
`packages/adapter-utils/src/ssh.ts` that adapts an SSH spec into a
generic
command-managed-runtime runner (with cwd, env, and timeout handling)
- Removed `paperclipApiUrl` from `SshRemoteExecutionSpec`; the bridge
URL now flows
through the shared runner
- Reworked `execution-target.ts` to use the SSH runner alongside sandbox
runners
via a unified `CommandManagedRuntimeRunner` interface
- Simplified `remote-managed-runtime.ts` and
`sandbox-managed-runtime.ts` to consume
the shared runner abstraction
- Deleted per-adapter SSH callback wiring from claude-local,
codex-local,
cursor-local, gemini-local, opencode-local, pi-local execute.ts files
- Removed `environment-runtime-driver-contract.test.ts` (the contract is
now
enforced by `environment-execution-target.test.ts`)
- Added/updated `execute.remote.test.ts` cases for each adapter to cover
the SSH
runner path
## Verification
- `pnpm --filter @paperclipai/adapter-utils test`
- `pnpm test -- execute.remote` (covers all six local adapters' SSH
paths)
- Manual QA: ran a claude-local agent against an SSH-backed environment,
confirmed
the agent successfully called back to `/api/agent-callback/*` endpoints
during
the run
## Risks
- Refactor touches all six local adapters. If any adapter had subtle
SSH-specific
behaviour that wasn't captured in tests, it could regress. Mitigation:
each
adapter's `execute.remote.test.ts` was extended.
- `paperclipApiUrl` removal from `SshRemoteExecutionSpec` is a breaking
type change
for any internal consumer. Verified no external plugins consume this
type.
- The new `CommandManagedRuntimeRunner` shape is a public surface in
`@paperclipai/adapter-utils`; downstream plugins implementing custom
runners may
need updates, but no such plugins exist in this repo.
## Model Used
- OpenAI GPT-5.4 (reasoning effort: high) via Codex CLI
- Provider: OpenAI
- Used to author the code changes in this PR
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots — N/A
- [ ] I have updated relevant documentation to reflect my changes — N/A
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-03 12:43:52 -07:00
|
|
|
readStringMeta(parsedSaved, "remoteCwd") === current?.remoteCwd
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
);
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
}
|
|
|
|
|
|
|
|
|
|
export function parseAdapterExecutionTarget(value: unknown): AdapterExecutionTarget | null {
|
|
|
|
|
const parsed = parseObject(value);
|
|
|
|
|
const kind = readStringMeta(parsed, "kind");
|
|
|
|
|
|
|
|
|
|
if (kind === "local") {
|
|
|
|
|
return {
|
|
|
|
|
kind: "local",
|
|
|
|
|
environmentId: readStringMeta(parsed, "environmentId"),
|
|
|
|
|
leaseId: readStringMeta(parsed, "leaseId"),
|
|
|
|
|
};
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
if (kind === "remote" && readStringMeta(parsed, "transport") === "ssh") {
|
|
|
|
|
const spec = parseSshRemoteExecutionSpec(parseObject(parsed.spec));
|
|
|
|
|
if (!spec) return null;
|
|
|
|
|
return {
|
|
|
|
|
kind: "remote",
|
|
|
|
|
transport: "ssh",
|
|
|
|
|
environmentId: readStringMeta(parsed, "environmentId"),
|
|
|
|
|
leaseId: readStringMeta(parsed, "leaseId"),
|
|
|
|
|
remoteCwd: spec.remoteCwd,
|
|
|
|
|
spec,
|
|
|
|
|
};
|
|
|
|
|
}
|
|
|
|
|
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
if (kind === "remote" && readStringMeta(parsed, "transport") === "sandbox") {
|
|
|
|
|
const remoteCwd = readStringMeta(parsed, "remoteCwd");
|
|
|
|
|
if (!remoteCwd) return null;
|
|
|
|
|
return {
|
|
|
|
|
kind: "remote",
|
|
|
|
|
transport: "sandbox",
|
|
|
|
|
providerKey: readStringMeta(parsed, "providerKey"),
|
|
|
|
|
environmentId: readStringMeta(parsed, "environmentId"),
|
|
|
|
|
leaseId: readStringMeta(parsed, "leaseId"),
|
|
|
|
|
remoteCwd,
|
|
|
|
|
timeoutMs: typeof parsed.timeoutMs === "number" ? parsed.timeoutMs : null,
|
|
|
|
|
};
|
|
|
|
|
}
|
|
|
|
|
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
return null;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
export function adapterExecutionTargetFromRemoteExecution(
|
|
|
|
|
remoteExecution: unknown,
|
|
|
|
|
metadata: Pick<AdapterLocalExecutionTarget, "environmentId" | "leaseId"> = {},
|
|
|
|
|
): AdapterExecutionTarget | null {
|
|
|
|
|
const parsed = parseObject(remoteExecution);
|
|
|
|
|
const ssh = parseSshRemoteExecutionSpec(parsed);
|
|
|
|
|
if (ssh) {
|
|
|
|
|
return {
|
|
|
|
|
kind: "remote",
|
|
|
|
|
transport: "ssh",
|
|
|
|
|
environmentId: metadata.environmentId ?? null,
|
|
|
|
|
leaseId: metadata.leaseId ?? null,
|
|
|
|
|
remoteCwd: ssh.remoteCwd,
|
|
|
|
|
spec: ssh,
|
|
|
|
|
};
|
|
|
|
|
}
|
|
|
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|
return null;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
export function readAdapterExecutionTarget(input: {
|
|
|
|
|
executionTarget?: unknown;
|
|
|
|
|
legacyRemoteExecution?: unknown;
|
|
|
|
|
}): AdapterExecutionTarget | null {
|
|
|
|
|
if (isAdapterExecutionTargetInstance(input.executionTarget)) {
|
|
|
|
|
return input.executionTarget;
|
|
|
|
|
}
|
|
|
|
|
return (
|
|
|
|
|
parseAdapterExecutionTarget(input.executionTarget) ??
|
|
|
|
|
adapterExecutionTargetFromRemoteExecution(input.legacyRemoteExecution)
|
|
|
|
|
);
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
export async function prepareAdapterExecutionTargetRuntime(input: {
|
Harden remote workspace sync and restore flows (#5444)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - When an agent runs against a remote target, Paperclip syncs the
workspace out to the remote at run start and restores changes back to
the local workspace at run end
> - The previous restore flow naïvely overwrote local files with
whatever the remote returned, so files that the remote run never touched
but had timestamp/mode drift could be needlessly rewritten — and a
single static `refs/paperclip/ssh-sync/imported` ref made concurrent SSH
workspace exports race on the same git ref
> - This pull request adds a `workspace-restore-merge` module that diffs
a pre-run snapshot against the post-run remote state and only writes
back files the remote actually changed; SSH workspace exports now use a
per-import unique ref so concurrent runs can't trample each other
> - Every adapter's execute path threads the snapshot through
`prepareAdapterExecutionTargetRuntime` so the merge has the baseline it
needs
> - The benefit is workspace restores no longer churn untouched files,
and concurrent SSH runs no longer collide on the import ref
## What Changed
- `packages/adapter-utils/src/workspace-restore-merge.{ts,test.ts}`: new
module — directory snapshot (kind/mode/sha256/symlink target) plus
snapshot-aware merge that writes only the files the remote changed
- `packages/adapter-utils/src/ssh.ts`: SSH workspace export uses a
per-import unique ref (`refs/paperclip/ssh-sync/imported/<uuid>`);
restore goes through the new merge helper; `ssh-fixture.test.ts` covers
the unique-ref + merge paths
- `packages/adapter-utils/src/sandbox-managed-runtime.ts` +
`remote-managed-runtime.ts`: thread the snapshot/merge through the
sandbox and SSH paths
- `packages/adapter-utils/src/server-utils.{ts,test.ts}` +
`execution-target.ts`: helpers for capturing the pre-run snapshot;
`prepareAdapterExecutionTargetRuntime` gains required `runId` and
optional `workspaceRemoteDir`, and returns the realized
`workspaceRemoteDir`
- Each adapter's `execute.ts` (acpx, claude, codex, cursor, gemini,
opencode, pi) takes the snapshot at run start and passes it through to
the runtime restore
- Remote execute test mocks updated to match the new
`prepareWorkspaceForSshExecution` return shape and the per-run
`${managedRemoteWorkspace}` cwd subdirectory
## Verification
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils
--project @paperclipai/adapter-acpx-local --project
@paperclipai/adapter-claude-local --project
@paperclipai/adapter-codex-local --project
@paperclipai/adapter-cursor-local --project
@paperclipai/adapter-gemini-local --project
@paperclipai/adapter-opencode-local --project
@paperclipai/adapter-pi-local` — 196/196 passing
- `pnpm typecheck` clean across the workspace
## Risks
Medium. The restore path now writes a strict subset of what it
previously did — files the remote did not touch are no longer rewritten.
If any flow was relying on a touch-without-content-change being copied
back (timestamp or permission propagation only), that behavior is now
skipped. Snapshot capture adds an O(N-files-in-workspace) hash pass at
run start; the cost is bounded by the existing exclude list. The `runId`
parameter on `prepareAdapterExecutionTargetRuntime` is now required —
every in-tree caller is updated; out-of-tree adapter authors need to
pass it.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable — new module +
every adapter execute path covered
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-07 14:44:45 -07:00
|
|
|
runId: string;
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
target: AdapterExecutionTarget | null | undefined;
|
|
|
|
|
adapterKey: string;
|
|
|
|
|
workspaceLocalDir: string;
|
Harden remote workspace sync and restore flows (#5444)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - When an agent runs against a remote target, Paperclip syncs the
workspace out to the remote at run start and restores changes back to
the local workspace at run end
> - The previous restore flow naïvely overwrote local files with
whatever the remote returned, so files that the remote run never touched
but had timestamp/mode drift could be needlessly rewritten — and a
single static `refs/paperclip/ssh-sync/imported` ref made concurrent SSH
workspace exports race on the same git ref
> - This pull request adds a `workspace-restore-merge` module that diffs
a pre-run snapshot against the post-run remote state and only writes
back files the remote actually changed; SSH workspace exports now use a
per-import unique ref so concurrent runs can't trample each other
> - Every adapter's execute path threads the snapshot through
`prepareAdapterExecutionTargetRuntime` so the merge has the baseline it
needs
> - The benefit is workspace restores no longer churn untouched files,
and concurrent SSH runs no longer collide on the import ref
## What Changed
- `packages/adapter-utils/src/workspace-restore-merge.{ts,test.ts}`: new
module — directory snapshot (kind/mode/sha256/symlink target) plus
snapshot-aware merge that writes only the files the remote changed
- `packages/adapter-utils/src/ssh.ts`: SSH workspace export uses a
per-import unique ref (`refs/paperclip/ssh-sync/imported/<uuid>`);
restore goes through the new merge helper; `ssh-fixture.test.ts` covers
the unique-ref + merge paths
- `packages/adapter-utils/src/sandbox-managed-runtime.ts` +
`remote-managed-runtime.ts`: thread the snapshot/merge through the
sandbox and SSH paths
- `packages/adapter-utils/src/server-utils.{ts,test.ts}` +
`execution-target.ts`: helpers for capturing the pre-run snapshot;
`prepareAdapterExecutionTargetRuntime` gains required `runId` and
optional `workspaceRemoteDir`, and returns the realized
`workspaceRemoteDir`
- Each adapter's `execute.ts` (acpx, claude, codex, cursor, gemini,
opencode, pi) takes the snapshot at run start and passes it through to
the runtime restore
- Remote execute test mocks updated to match the new
`prepareWorkspaceForSshExecution` return shape and the per-run
`${managedRemoteWorkspace}` cwd subdirectory
## Verification
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils
--project @paperclipai/adapter-acpx-local --project
@paperclipai/adapter-claude-local --project
@paperclipai/adapter-codex-local --project
@paperclipai/adapter-cursor-local --project
@paperclipai/adapter-gemini-local --project
@paperclipai/adapter-opencode-local --project
@paperclipai/adapter-pi-local` — 196/196 passing
- `pnpm typecheck` clean across the workspace
## Risks
Medium. The restore path now writes a strict subset of what it
previously did — files the remote did not touch are no longer rewritten.
If any flow was relying on a touch-without-content-change being copied
back (timestamp or permission propagation only), that behavior is now
skipped. Snapshot capture adds an O(N-files-in-workspace) hash pass at
run start; the cost is bounded by the existing exclude list. The `runId`
parameter on `prepareAdapterExecutionTargetRuntime` is now required —
every in-tree caller is updated; out-of-tree adapter authors need to
pass it.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable — new module +
every adapter execute path covered
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-07 14:44:45 -07:00
|
|
|
workspaceRemoteDir?: string;
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
workspaceExclude?: string[];
|
|
|
|
|
preserveAbsentOnRestore?: string[];
|
|
|
|
|
assets?: AdapterManagedRuntimeAsset[];
|
|
|
|
|
installCommand?: string | null;
|
Wire per-adapter sandbox install commands through test and execute paths (#5280)
> **Stacked PR.** Sits on top of the e2b sandbox chain — #5278 (stdin
staging) and #5279 (honest-resolvability + login-profiles). The
cumulative diff against `master` includes both of those PRs' content;
the files touched by *this* PR's commit are the new
`maybeRunSandboxInstallCommand` helper in
`packages/adapter-utils/src/execution-target.ts` and the per-adapter
`index.ts`/`server/test.ts`/`server/execute.ts` wiring under
`packages/adapters/{claude,codex,cursor,gemini,opencode,pi}-local/`. The
honest resolvability check from #5279 is what gives this PR's install
command a meaningful "did it actually land on PATH" follow-up.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Sandbox execution targets are ephemeral — each fresh lease starts
from a template image that may or may not have the agent CLIs
preinstalled
> - When a CLI isn't preinstalled, the resolvability probe fails at
`command -v` and the hello probe never runs
> - There's no shared mechanism for "before you probe or provision,
install the CLI on this sandbox"
> - This pull request adds a `SANDBOX_INSTALL_COMMAND` constant per
adapter and a `maybeRunSandboxInstallCommand` helper that runs it via
the existing sandbox login shell, captures structured output, and never
throws (so the resolvability + hello probe still run after); each
adapter's `test()` and `execute()` share the constant so the two
callsites can't drift
> - The benefit is a fresh sandbox lease without a preinstalled CLI now
installs it once via `sh -lc` before the resolvability probe and before
managed-runtime provisioning, with a uniform
`<adapter>_install_command_run` check on the test report
## What Changed
- `packages/adapter-utils/src/execution-target.ts`: add
`AdapterSandboxInstallCommandCheck` and `maybeRunSandboxInstallCommand`
(runs the install via existing sandbox shell, captures
exit/stdout/stderr, returns a structured info/warn check, never throws)
- Add `SANDBOX_INSTALL_COMMAND` to each adapter's `index.ts` so `test()`
and `execute()` share a single source of truth
- Wire each of the 6 affected adapter `testEnvironment()`s to call
`maybeRunSandboxInstallCommand` before
`ensureAdapterExecutionTargetCommandResolvable`
- Pass `installCommand: SANDBOX_INSTALL_COMMAND` through
`prepareAdapterExecutionTargetRuntime` in each adapter's `execute()`
- Per-adapter install commands use npm globals where possible so
binaries land on a PATH segment the template already exports:
- claude → `npm install -g @anthropic-ai/claude-code`
- codex → `npm install -g @openai/codex`
- cursor → `curl https://cursor.com/install -fsS | bash`
- gemini → `npm install -g @google/gemini-cli`
- opencode → `npm install -g opencode-ai`
- pi → `npm install -g @mariozechner/pi-coding-agent`
SSH and local targets ignore `installCommand` (SSH runtime takes no such
param; local short-circuits before runtime prep), so this is a no-op for
non-sandbox environments.
## Verification
- `pnpm typecheck` clean
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils`
and per-adapter projects pass
- Manual sandbox matrix (claude, codex, cursor, gemini, opencode, pi) —
each goes `install_command_run → resolvable → hello_probe_passed` (Codex
and Pi land on `hello_probe_auth_required`, which is the
configured-credentials problem, not an install issue)
- SSH no-regression: SSH Claude still passes; the helper short-circuits
on non-sandbox targets
## Risks
Medium — adds a network/CPU cost (npm install / curl) on every fresh
sandbox lease. Cost is bounded (one-time per lease, typically tens of
seconds for npm globals), and the helper never throws so a failing
install still lets the report run resolvability and hello probes. If a
sandbox image already has the CLI, the install is an idempotent
reinstall.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 08:29:28 -07:00
|
|
|
/** When provided alongside `installCommand`, skip the install if the binary is already on PATH. */
|
|
|
|
|
detectCommand?: string | null;
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
}): Promise<PreparedAdapterExecutionTargetRuntime> {
|
|
|
|
|
const target = input.target ?? { kind: "local" as const };
|
|
|
|
|
if (target.kind === "local") {
|
|
|
|
|
return {
|
|
|
|
|
target,
|
Harden remote workspace sync and restore flows (#5444)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - When an agent runs against a remote target, Paperclip syncs the
workspace out to the remote at run start and restores changes back to
the local workspace at run end
> - The previous restore flow naïvely overwrote local files with
whatever the remote returned, so files that the remote run never touched
but had timestamp/mode drift could be needlessly rewritten — and a
single static `refs/paperclip/ssh-sync/imported` ref made concurrent SSH
workspace exports race on the same git ref
> - This pull request adds a `workspace-restore-merge` module that diffs
a pre-run snapshot against the post-run remote state and only writes
back files the remote actually changed; SSH workspace exports now use a
per-import unique ref so concurrent runs can't trample each other
> - Every adapter's execute path threads the snapshot through
`prepareAdapterExecutionTargetRuntime` so the merge has the baseline it
needs
> - The benefit is workspace restores no longer churn untouched files,
and concurrent SSH runs no longer collide on the import ref
## What Changed
- `packages/adapter-utils/src/workspace-restore-merge.{ts,test.ts}`: new
module — directory snapshot (kind/mode/sha256/symlink target) plus
snapshot-aware merge that writes only the files the remote changed
- `packages/adapter-utils/src/ssh.ts`: SSH workspace export uses a
per-import unique ref (`refs/paperclip/ssh-sync/imported/<uuid>`);
restore goes through the new merge helper; `ssh-fixture.test.ts` covers
the unique-ref + merge paths
- `packages/adapter-utils/src/sandbox-managed-runtime.ts` +
`remote-managed-runtime.ts`: thread the snapshot/merge through the
sandbox and SSH paths
- `packages/adapter-utils/src/server-utils.{ts,test.ts}` +
`execution-target.ts`: helpers for capturing the pre-run snapshot;
`prepareAdapterExecutionTargetRuntime` gains required `runId` and
optional `workspaceRemoteDir`, and returns the realized
`workspaceRemoteDir`
- Each adapter's `execute.ts` (acpx, claude, codex, cursor, gemini,
opencode, pi) takes the snapshot at run start and passes it through to
the runtime restore
- Remote execute test mocks updated to match the new
`prepareWorkspaceForSshExecution` return shape and the per-run
`${managedRemoteWorkspace}` cwd subdirectory
## Verification
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils
--project @paperclipai/adapter-acpx-local --project
@paperclipai/adapter-claude-local --project
@paperclipai/adapter-codex-local --project
@paperclipai/adapter-cursor-local --project
@paperclipai/adapter-gemini-local --project
@paperclipai/adapter-opencode-local --project
@paperclipai/adapter-pi-local` — 196/196 passing
- `pnpm typecheck` clean across the workspace
## Risks
Medium. The restore path now writes a strict subset of what it
previously did — files the remote did not touch are no longer rewritten.
If any flow was relying on a touch-without-content-change being copied
back (timestamp or permission propagation only), that behavior is now
skipped. Snapshot capture adds an O(N-files-in-workspace) hash pass at
run start; the cost is bounded by the existing exclude list. The `runId`
parameter on `prepareAdapterExecutionTargetRuntime` is now required —
every in-tree caller is updated; out-of-tree adapter authors need to
pass it.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable — new module +
every adapter execute path covered
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-07 14:44:45 -07:00
|
|
|
workspaceRemoteDir: null,
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
runtimeRootDir: null,
|
|
|
|
|
assetDirs: {},
|
|
|
|
|
restoreWorkspace: async () => {},
|
|
|
|
|
};
|
|
|
|
|
}
|
|
|
|
|
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
if (target.transport === "ssh") {
|
|
|
|
|
const prepared = await prepareRemoteManagedRuntime({
|
|
|
|
|
spec: target.spec,
|
Harden remote workspace sync and restore flows (#5444)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - When an agent runs against a remote target, Paperclip syncs the
workspace out to the remote at run start and restores changes back to
the local workspace at run end
> - The previous restore flow naïvely overwrote local files with
whatever the remote returned, so files that the remote run never touched
but had timestamp/mode drift could be needlessly rewritten — and a
single static `refs/paperclip/ssh-sync/imported` ref made concurrent SSH
workspace exports race on the same git ref
> - This pull request adds a `workspace-restore-merge` module that diffs
a pre-run snapshot against the post-run remote state and only writes
back files the remote actually changed; SSH workspace exports now use a
per-import unique ref so concurrent runs can't trample each other
> - Every adapter's execute path threads the snapshot through
`prepareAdapterExecutionTargetRuntime` so the merge has the baseline it
needs
> - The benefit is workspace restores no longer churn untouched files,
and concurrent SSH runs no longer collide on the import ref
## What Changed
- `packages/adapter-utils/src/workspace-restore-merge.{ts,test.ts}`: new
module — directory snapshot (kind/mode/sha256/symlink target) plus
snapshot-aware merge that writes only the files the remote changed
- `packages/adapter-utils/src/ssh.ts`: SSH workspace export uses a
per-import unique ref (`refs/paperclip/ssh-sync/imported/<uuid>`);
restore goes through the new merge helper; `ssh-fixture.test.ts` covers
the unique-ref + merge paths
- `packages/adapter-utils/src/sandbox-managed-runtime.ts` +
`remote-managed-runtime.ts`: thread the snapshot/merge through the
sandbox and SSH paths
- `packages/adapter-utils/src/server-utils.{ts,test.ts}` +
`execution-target.ts`: helpers for capturing the pre-run snapshot;
`prepareAdapterExecutionTargetRuntime` gains required `runId` and
optional `workspaceRemoteDir`, and returns the realized
`workspaceRemoteDir`
- Each adapter's `execute.ts` (acpx, claude, codex, cursor, gemini,
opencode, pi) takes the snapshot at run start and passes it through to
the runtime restore
- Remote execute test mocks updated to match the new
`prepareWorkspaceForSshExecution` return shape and the per-run
`${managedRemoteWorkspace}` cwd subdirectory
## Verification
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils
--project @paperclipai/adapter-acpx-local --project
@paperclipai/adapter-claude-local --project
@paperclipai/adapter-codex-local --project
@paperclipai/adapter-cursor-local --project
@paperclipai/adapter-gemini-local --project
@paperclipai/adapter-opencode-local --project
@paperclipai/adapter-pi-local` — 196/196 passing
- `pnpm typecheck` clean across the workspace
## Risks
Medium. The restore path now writes a strict subset of what it
previously did — files the remote did not touch are no longer rewritten.
If any flow was relying on a touch-without-content-change being copied
back (timestamp or permission propagation only), that behavior is now
skipped. Snapshot capture adds an O(N-files-in-workspace) hash pass at
run start; the cost is bounded by the existing exclude list. The `runId`
parameter on `prepareAdapterExecutionTargetRuntime` is now required —
every in-tree caller is updated; out-of-tree adapter authors need to
pass it.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable — new module +
every adapter execute path covered
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-07 14:44:45 -07:00
|
|
|
runId: input.runId,
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
adapterKey: input.adapterKey,
|
|
|
|
|
workspaceLocalDir: input.workspaceLocalDir,
|
Harden remote workspace sync and restore flows (#5444)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - When an agent runs against a remote target, Paperclip syncs the
workspace out to the remote at run start and restores changes back to
the local workspace at run end
> - The previous restore flow naïvely overwrote local files with
whatever the remote returned, so files that the remote run never touched
but had timestamp/mode drift could be needlessly rewritten — and a
single static `refs/paperclip/ssh-sync/imported` ref made concurrent SSH
workspace exports race on the same git ref
> - This pull request adds a `workspace-restore-merge` module that diffs
a pre-run snapshot against the post-run remote state and only writes
back files the remote actually changed; SSH workspace exports now use a
per-import unique ref so concurrent runs can't trample each other
> - Every adapter's execute path threads the snapshot through
`prepareAdapterExecutionTargetRuntime` so the merge has the baseline it
needs
> - The benefit is workspace restores no longer churn untouched files,
and concurrent SSH runs no longer collide on the import ref
## What Changed
- `packages/adapter-utils/src/workspace-restore-merge.{ts,test.ts}`: new
module — directory snapshot (kind/mode/sha256/symlink target) plus
snapshot-aware merge that writes only the files the remote changed
- `packages/adapter-utils/src/ssh.ts`: SSH workspace export uses a
per-import unique ref (`refs/paperclip/ssh-sync/imported/<uuid>`);
restore goes through the new merge helper; `ssh-fixture.test.ts` covers
the unique-ref + merge paths
- `packages/adapter-utils/src/sandbox-managed-runtime.ts` +
`remote-managed-runtime.ts`: thread the snapshot/merge through the
sandbox and SSH paths
- `packages/adapter-utils/src/server-utils.{ts,test.ts}` +
`execution-target.ts`: helpers for capturing the pre-run snapshot;
`prepareAdapterExecutionTargetRuntime` gains required `runId` and
optional `workspaceRemoteDir`, and returns the realized
`workspaceRemoteDir`
- Each adapter's `execute.ts` (acpx, claude, codex, cursor, gemini,
opencode, pi) takes the snapshot at run start and passes it through to
the runtime restore
- Remote execute test mocks updated to match the new
`prepareWorkspaceForSshExecution` return shape and the per-run
`${managedRemoteWorkspace}` cwd subdirectory
## Verification
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils
--project @paperclipai/adapter-acpx-local --project
@paperclipai/adapter-claude-local --project
@paperclipai/adapter-codex-local --project
@paperclipai/adapter-cursor-local --project
@paperclipai/adapter-gemini-local --project
@paperclipai/adapter-opencode-local --project
@paperclipai/adapter-pi-local` — 196/196 passing
- `pnpm typecheck` clean across the workspace
## Risks
Medium. The restore path now writes a strict subset of what it
previously did — files the remote did not touch are no longer rewritten.
If any flow was relying on a touch-without-content-change being copied
back (timestamp or permission propagation only), that behavior is now
skipped. Snapshot capture adds an O(N-files-in-workspace) hash pass at
run start; the cost is bounded by the existing exclude list. The `runId`
parameter on `prepareAdapterExecutionTargetRuntime` is now required —
every in-tree caller is updated; out-of-tree adapter authors need to
pass it.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable — new module +
every adapter execute path covered
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-07 14:44:45 -07:00
|
|
|
workspaceRemoteDir: input.workspaceRemoteDir,
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
assets: input.assets,
|
|
|
|
|
});
|
|
|
|
|
return {
|
|
|
|
|
target,
|
Harden remote workspace sync and restore flows (#5444)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - When an agent runs against a remote target, Paperclip syncs the
workspace out to the remote at run start and restores changes back to
the local workspace at run end
> - The previous restore flow naïvely overwrote local files with
whatever the remote returned, so files that the remote run never touched
but had timestamp/mode drift could be needlessly rewritten — and a
single static `refs/paperclip/ssh-sync/imported` ref made concurrent SSH
workspace exports race on the same git ref
> - This pull request adds a `workspace-restore-merge` module that diffs
a pre-run snapshot against the post-run remote state and only writes
back files the remote actually changed; SSH workspace exports now use a
per-import unique ref so concurrent runs can't trample each other
> - Every adapter's execute path threads the snapshot through
`prepareAdapterExecutionTargetRuntime` so the merge has the baseline it
needs
> - The benefit is workspace restores no longer churn untouched files,
and concurrent SSH runs no longer collide on the import ref
## What Changed
- `packages/adapter-utils/src/workspace-restore-merge.{ts,test.ts}`: new
module — directory snapshot (kind/mode/sha256/symlink target) plus
snapshot-aware merge that writes only the files the remote changed
- `packages/adapter-utils/src/ssh.ts`: SSH workspace export uses a
per-import unique ref (`refs/paperclip/ssh-sync/imported/<uuid>`);
restore goes through the new merge helper; `ssh-fixture.test.ts` covers
the unique-ref + merge paths
- `packages/adapter-utils/src/sandbox-managed-runtime.ts` +
`remote-managed-runtime.ts`: thread the snapshot/merge through the
sandbox and SSH paths
- `packages/adapter-utils/src/server-utils.{ts,test.ts}` +
`execution-target.ts`: helpers for capturing the pre-run snapshot;
`prepareAdapterExecutionTargetRuntime` gains required `runId` and
optional `workspaceRemoteDir`, and returns the realized
`workspaceRemoteDir`
- Each adapter's `execute.ts` (acpx, claude, codex, cursor, gemini,
opencode, pi) takes the snapshot at run start and passes it through to
the runtime restore
- Remote execute test mocks updated to match the new
`prepareWorkspaceForSshExecution` return shape and the per-run
`${managedRemoteWorkspace}` cwd subdirectory
## Verification
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils
--project @paperclipai/adapter-acpx-local --project
@paperclipai/adapter-claude-local --project
@paperclipai/adapter-codex-local --project
@paperclipai/adapter-cursor-local --project
@paperclipai/adapter-gemini-local --project
@paperclipai/adapter-opencode-local --project
@paperclipai/adapter-pi-local` — 196/196 passing
- `pnpm typecheck` clean across the workspace
## Risks
Medium. The restore path now writes a strict subset of what it
previously did — files the remote did not touch are no longer rewritten.
If any flow was relying on a touch-without-content-change being copied
back (timestamp or permission propagation only), that behavior is now
skipped. Snapshot capture adds an O(N-files-in-workspace) hash pass at
run start; the cost is bounded by the existing exclude list. The `runId`
parameter on `prepareAdapterExecutionTargetRuntime` is now required —
every in-tree caller is updated; out-of-tree adapter authors need to
pass it.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable — new module +
every adapter execute path covered
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-07 14:44:45 -07:00
|
|
|
workspaceRemoteDir: prepared.workspaceRemoteDir,
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
runtimeRootDir: prepared.runtimeRootDir,
|
|
|
|
|
assetDirs: prepared.assetDirs,
|
|
|
|
|
restoreWorkspace: prepared.restoreWorkspace,
|
|
|
|
|
};
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
const prepared = await prepareCommandManagedRuntime({
|
|
|
|
|
runner: requireSandboxRunner(target),
|
|
|
|
|
spec: {
|
|
|
|
|
providerKey: target.providerKey,
|
Let sandbox providers declare shell defaults (#5114)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents execute in sandboxed remote environments served by pluggable
sandbox
> providers (E2B today, more later)
> - Today every sandbox command runs under `sh -lc` regardless of what
the
> provider's container actually ships
> - That misses bash-only shell init on E2B (which ships bash) and
prevents
> future providers from declaring a different default — there's no way
for a
> provider to say "I have bash, use it"
> - This PR adds a `shellCommand` field to sandbox execution targets so
providers
> can declare their preferred shell ("bash" for E2B), threads it through
the
> sandbox-managed-runtime client, callback bridge, and execution-target
shell
> helper, and validates the value at the lease-metadata boundary
> - The benefit is that sandbox commands run under the right shell on
the right
> provider, and adding new sandbox providers only needs to declare a
shell
> preference
## What Changed
- Added `packages/adapter-utils/src/sandbox-shell.ts` exporting
`preferredShellForSandbox(shellCommand)` (returns `"bash"` if input is
`"bash"`,
else `"sh"`)
- Added `shellCommand?: "bash" | "sh" | null` to
`AdapterSandboxExecutionTarget`
and `CommandManagedRuntimeSpec`; threaded it through
`runAdapterExecutionTargetShellCommand`,
`prepareAdapterExecutionTargetRuntime`,
and `startAdapterExecutionTargetPaperclipBridge`
- `createCommandManagedRuntimeClient`, `prepareCommandManagedRuntime`,
and
`createCommandManagedSandboxCallbackBridgeQueueClient` now take an
optional
`shellCommand` and use `preferredShellForSandbox` to pick the shell
- `startSandboxCallbackBridgeServer` accepts a `shellCommand` for its
server
startup, readiness probe, and stop hook
- E2B sandbox plugin declares `shellCommand: "bash"` in `leaseMetadata`
- `resolveEnvironmentExecutionTarget` reads `shellCommand` from lease
metadata
(validating against `"bash" | "sh" | null`)
- `environment-runtime.ts` adds `"shellCommand"` to
`INTERNAL_PLUGIN_SANDBOX_CONFIG_KEYS`
so the field round-trips through internal plugin config without leaking
to
external plugin metadata
- Updated tests in `command-managed-runtime.test.ts`,
`execution-target-sandbox.test.ts`, `sandbox-callback-bridge.test.ts`,
`environment-execution-target.test.ts`
## Verification
- `pnpm --filter @paperclipai/adapter-utils test`
- `pnpm --filter @paperclipai/server test --
environment-execution-target`
- `pnpm --filter @paperclipai/sandbox-providers-e2b test`
- Manual QA: boot a Paperclip instance, create an E2B-backed
environment, run a
claude_local agent against it, and confirm the run completes (verifies
bash
shell semantics flow through the callback bridge end-to-end)
## Risks
- E2B sandbox commands now run under `bash -lc` instead of `sh -lc`.
Bash is a
strict superset for the commands we issue (no busybox-only flags in our
shell
scripts), so risk is low. The shellCommand field is opt-in via lease
metadata —
providers that don't declare it stay on `sh`.
- New optional field on `CommandManagedRuntimeSpec` and
`AdapterSandboxExecutionTarget`.
Consumers ignoring the field retain previous behaviour (sh).
- Lease metadata now carries an additional field. Existing leases
without
`shellCommand` resolve to `null` and fall back to sh — backwards
compatible.
## Model Used
- OpenAI GPT-5.4 (reasoning effort: high) via Codex CLI
- Provider: OpenAI
- Used to author the code changes in this PR
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots — N/A (no UI changes)
- [ ] I have updated relevant documentation to reflect my changes — N/A
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-03 12:19:35 -07:00
|
|
|
shellCommand: target.shellCommand,
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
leaseId: target.leaseId,
|
|
|
|
|
remoteCwd: target.remoteCwd,
|
|
|
|
|
timeoutMs: target.timeoutMs,
|
|
|
|
|
},
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
adapterKey: input.adapterKey,
|
|
|
|
|
workspaceLocalDir: input.workspaceLocalDir,
|
Harden remote workspace sync and restore flows (#5444)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - When an agent runs against a remote target, Paperclip syncs the
workspace out to the remote at run start and restores changes back to
the local workspace at run end
> - The previous restore flow naïvely overwrote local files with
whatever the remote returned, so files that the remote run never touched
but had timestamp/mode drift could be needlessly rewritten — and a
single static `refs/paperclip/ssh-sync/imported` ref made concurrent SSH
workspace exports race on the same git ref
> - This pull request adds a `workspace-restore-merge` module that diffs
a pre-run snapshot against the post-run remote state and only writes
back files the remote actually changed; SSH workspace exports now use a
per-import unique ref so concurrent runs can't trample each other
> - Every adapter's execute path threads the snapshot through
`prepareAdapterExecutionTargetRuntime` so the merge has the baseline it
needs
> - The benefit is workspace restores no longer churn untouched files,
and concurrent SSH runs no longer collide on the import ref
## What Changed
- `packages/adapter-utils/src/workspace-restore-merge.{ts,test.ts}`: new
module — directory snapshot (kind/mode/sha256/symlink target) plus
snapshot-aware merge that writes only the files the remote changed
- `packages/adapter-utils/src/ssh.ts`: SSH workspace export uses a
per-import unique ref (`refs/paperclip/ssh-sync/imported/<uuid>`);
restore goes through the new merge helper; `ssh-fixture.test.ts` covers
the unique-ref + merge paths
- `packages/adapter-utils/src/sandbox-managed-runtime.ts` +
`remote-managed-runtime.ts`: thread the snapshot/merge through the
sandbox and SSH paths
- `packages/adapter-utils/src/server-utils.{ts,test.ts}` +
`execution-target.ts`: helpers for capturing the pre-run snapshot;
`prepareAdapterExecutionTargetRuntime` gains required `runId` and
optional `workspaceRemoteDir`, and returns the realized
`workspaceRemoteDir`
- Each adapter's `execute.ts` (acpx, claude, codex, cursor, gemini,
opencode, pi) takes the snapshot at run start and passes it through to
the runtime restore
- Remote execute test mocks updated to match the new
`prepareWorkspaceForSshExecution` return shape and the per-run
`${managedRemoteWorkspace}` cwd subdirectory
## Verification
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils
--project @paperclipai/adapter-acpx-local --project
@paperclipai/adapter-claude-local --project
@paperclipai/adapter-codex-local --project
@paperclipai/adapter-cursor-local --project
@paperclipai/adapter-gemini-local --project
@paperclipai/adapter-opencode-local --project
@paperclipai/adapter-pi-local` — 196/196 passing
- `pnpm typecheck` clean across the workspace
## Risks
Medium. The restore path now writes a strict subset of what it
previously did — files the remote did not touch are no longer rewritten.
If any flow was relying on a touch-without-content-change being copied
back (timestamp or permission propagation only), that behavior is now
skipped. Snapshot capture adds an O(N-files-in-workspace) hash pass at
run start; the cost is bounded by the existing exclude list. The `runId`
parameter on `prepareAdapterExecutionTargetRuntime` is now required —
every in-tree caller is updated; out-of-tree adapter authors need to
pass it.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable — new module +
every adapter execute path covered
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-07 14:44:45 -07:00
|
|
|
workspaceRemoteDir: input.workspaceRemoteDir,
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
workspaceExclude: input.workspaceExclude,
|
|
|
|
|
preserveAbsentOnRestore: input.preserveAbsentOnRestore,
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
assets: input.assets,
|
Add sandbox environment support (#4415)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The environment/runtime layer decides where agent work executes and
how the control plane reaches those runtimes.
> - Today Paperclip can run locally and over SSH, but sandboxed
execution needs a first-class environment model instead of one-off
adapter behavior.
> - We also want sandbox providers to be pluggable so the core does not
hardcode every provider implementation.
> - This branch adds the Sandbox environment path, the provider
contract, and a deterministic fake provider plugin.
> - That required synchronized changes across shared contracts, plugin
SDK surfaces, server runtime orchestration, and the UI
environment/workspace flows.
> - The result is that sandbox execution becomes a core control-plane
capability while keeping provider implementations extensible and
testable.
## What Changed
- Added sandbox runtime support to the environment execution path,
including runtime URL discovery, sandbox execution targeting,
orchestration, and heartbeat integration.
- Added plugin-provider support for sandbox environments so providers
can be supplied via plugins instead of hardcoded server logic.
- Added the fake sandbox provider plugin with deterministic behavior
suitable for local and automated testing.
- Updated shared types, validators, plugin protocol definitions, and SDK
helpers to carry sandbox provider and workspace-runtime contracts across
package boundaries.
- Updated server routes and services so companies can create sandbox
environments, select them for work, and execute work through the sandbox
runtime path.
- Updated the UI environment and workspace surfaces to expose sandbox
environment configuration and selection.
- Added test coverage for sandbox runtime behavior, provider seams,
environment route guards, orchestration, and the fake provider plugin.
## Verification
- Ran locally before the final fixture-only scrub:
- `pnpm -r typecheck`
- `pnpm test:run`
- `pnpm build`
- Ran locally after the final scrub amend:
- `pnpm vitest run server/src/__tests__/runtime-api.test.ts`
- Reviewer spot checks:
- create a sandbox environment backed by the fake provider plugin
- run work through that environment
- confirm sandbox provider execution does not inherit host secrets
implicitly
## Risks
- This touches shared contracts, plugin SDK plumbing, server runtime
orchestration, and UI environment/workspace flows, so regressions would
likely show up as cross-layer mismatches rather than isolated type
errors.
- Runtime URL discovery and sandbox callback selection are sensitive to
host/bind configuration; if that logic is wrong, sandbox-backed
callbacks may fail even when execution succeeds.
- The fake provider plugin is intentionally deterministic and
test-oriented; future providers may expose capability gaps that this
branch does not yet cover.
## Model Used
- OpenAI Codex coding agent on a GPT-5-class backend in the
Paperclip/Codex harness. Exact backend model ID is not exposed
in-session. Tool-assisted workflow with shell execution, file editing,
git history inspection, and local test execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-24 12:15:53 -07:00
|
|
|
installCommand: input.installCommand,
|
Wire per-adapter sandbox install commands through test and execute paths (#5280)
> **Stacked PR.** Sits on top of the e2b sandbox chain — #5278 (stdin
staging) and #5279 (honest-resolvability + login-profiles). The
cumulative diff against `master` includes both of those PRs' content;
the files touched by *this* PR's commit are the new
`maybeRunSandboxInstallCommand` helper in
`packages/adapter-utils/src/execution-target.ts` and the per-adapter
`index.ts`/`server/test.ts`/`server/execute.ts` wiring under
`packages/adapters/{claude,codex,cursor,gemini,opencode,pi}-local/`. The
honest resolvability check from #5279 is what gives this PR's install
command a meaningful "did it actually land on PATH" follow-up.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Sandbox execution targets are ephemeral — each fresh lease starts
from a template image that may or may not have the agent CLIs
preinstalled
> - When a CLI isn't preinstalled, the resolvability probe fails at
`command -v` and the hello probe never runs
> - There's no shared mechanism for "before you probe or provision,
install the CLI on this sandbox"
> - This pull request adds a `SANDBOX_INSTALL_COMMAND` constant per
adapter and a `maybeRunSandboxInstallCommand` helper that runs it via
the existing sandbox login shell, captures structured output, and never
throws (so the resolvability + hello probe still run after); each
adapter's `test()` and `execute()` share the constant so the two
callsites can't drift
> - The benefit is a fresh sandbox lease without a preinstalled CLI now
installs it once via `sh -lc` before the resolvability probe and before
managed-runtime provisioning, with a uniform
`<adapter>_install_command_run` check on the test report
## What Changed
- `packages/adapter-utils/src/execution-target.ts`: add
`AdapterSandboxInstallCommandCheck` and `maybeRunSandboxInstallCommand`
(runs the install via existing sandbox shell, captures
exit/stdout/stderr, returns a structured info/warn check, never throws)
- Add `SANDBOX_INSTALL_COMMAND` to each adapter's `index.ts` so `test()`
and `execute()` share a single source of truth
- Wire each of the 6 affected adapter `testEnvironment()`s to call
`maybeRunSandboxInstallCommand` before
`ensureAdapterExecutionTargetCommandResolvable`
- Pass `installCommand: SANDBOX_INSTALL_COMMAND` through
`prepareAdapterExecutionTargetRuntime` in each adapter's `execute()`
- Per-adapter install commands use npm globals where possible so
binaries land on a PATH segment the template already exports:
- claude → `npm install -g @anthropic-ai/claude-code`
- codex → `npm install -g @openai/codex`
- cursor → `curl https://cursor.com/install -fsS | bash`
- gemini → `npm install -g @google/gemini-cli`
- opencode → `npm install -g opencode-ai`
- pi → `npm install -g @mariozechner/pi-coding-agent`
SSH and local targets ignore `installCommand` (SSH runtime takes no such
param; local short-circuits before runtime prep), so this is a no-op for
non-sandbox environments.
## Verification
- `pnpm typecheck` clean
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils`
and per-adapter projects pass
- Manual sandbox matrix (claude, codex, cursor, gemini, opencode, pi) —
each goes `install_command_run → resolvable → hello_probe_passed` (Codex
and Pi land on `hello_probe_auth_required`, which is the
configured-credentials problem, not an install issue)
- SSH no-regression: SSH Claude still passes; the helper short-circuits
on non-sandbox targets
## Risks
Medium — adds a network/CPU cost (npm install / curl) on every fresh
sandbox lease. Cost is bounded (one-time per lease, typically tens of
seconds for npm globals), and the helper never throws so a failing
install still lets the report run resolvability and hello probes. If a
sandbox image already has the CLI, the install is an idempotent
reinstall.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-05 08:29:28 -07:00
|
|
|
detectCommand: input.detectCommand,
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
});
|
|
|
|
|
return {
|
|
|
|
|
target,
|
Harden remote workspace sync and restore flows (#5444)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - When an agent runs against a remote target, Paperclip syncs the
workspace out to the remote at run start and restores changes back to
the local workspace at run end
> - The previous restore flow naïvely overwrote local files with
whatever the remote returned, so files that the remote run never touched
but had timestamp/mode drift could be needlessly rewritten — and a
single static `refs/paperclip/ssh-sync/imported` ref made concurrent SSH
workspace exports race on the same git ref
> - This pull request adds a `workspace-restore-merge` module that diffs
a pre-run snapshot against the post-run remote state and only writes
back files the remote actually changed; SSH workspace exports now use a
per-import unique ref so concurrent runs can't trample each other
> - Every adapter's execute path threads the snapshot through
`prepareAdapterExecutionTargetRuntime` so the merge has the baseline it
needs
> - The benefit is workspace restores no longer churn untouched files,
and concurrent SSH runs no longer collide on the import ref
## What Changed
- `packages/adapter-utils/src/workspace-restore-merge.{ts,test.ts}`: new
module — directory snapshot (kind/mode/sha256/symlink target) plus
snapshot-aware merge that writes only the files the remote changed
- `packages/adapter-utils/src/ssh.ts`: SSH workspace export uses a
per-import unique ref (`refs/paperclip/ssh-sync/imported/<uuid>`);
restore goes through the new merge helper; `ssh-fixture.test.ts` covers
the unique-ref + merge paths
- `packages/adapter-utils/src/sandbox-managed-runtime.ts` +
`remote-managed-runtime.ts`: thread the snapshot/merge through the
sandbox and SSH paths
- `packages/adapter-utils/src/server-utils.{ts,test.ts}` +
`execution-target.ts`: helpers for capturing the pre-run snapshot;
`prepareAdapterExecutionTargetRuntime` gains required `runId` and
optional `workspaceRemoteDir`, and returns the realized
`workspaceRemoteDir`
- Each adapter's `execute.ts` (acpx, claude, codex, cursor, gemini,
opencode, pi) takes the snapshot at run start and passes it through to
the runtime restore
- Remote execute test mocks updated to match the new
`prepareWorkspaceForSshExecution` return shape and the per-run
`${managedRemoteWorkspace}` cwd subdirectory
## Verification
- `pnpm vitest run --no-coverage --project @paperclipai/adapter-utils
--project @paperclipai/adapter-acpx-local --project
@paperclipai/adapter-claude-local --project
@paperclipai/adapter-codex-local --project
@paperclipai/adapter-cursor-local --project
@paperclipai/adapter-gemini-local --project
@paperclipai/adapter-opencode-local --project
@paperclipai/adapter-pi-local` — 196/196 passing
- `pnpm typecheck` clean across the workspace
## Risks
Medium. The restore path now writes a strict subset of what it
previously did — files the remote did not touch are no longer rewritten.
If any flow was relying on a touch-without-content-change being copied
back (timestamp or permission propagation only), that behavior is now
skipped. Snapshot capture adds an O(N-files-in-workspace) hash pass at
run start; the cost is bounded by the existing exclude list. The `runId`
parameter on `prepareAdapterExecutionTargetRuntime` is now required —
every in-tree caller is updated; out-of-tree adapter authors need to
pass it.
## Model Used
Claude Opus 4.7 (1M context)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable — new module +
every adapter execute path covered
- [x] If this change affects the UI, I have included before/after
screenshots — N/A (no UI)
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-07 14:44:45 -07:00
|
|
|
workspaceRemoteDir: prepared.workspaceRemoteDir,
|
Add SSH environment support (#4358)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - The environments subsystem already models execution environments,
but before this branch there was no end-to-end SSH-backed runtime path
for agents to actually run work against a remote box
> - That meant agents could be configured around environment concepts
without a reliable way to execute adapter sessions remotely, sync
workspace state, and preserve run context across supported adapters
> - We also need environment selection to participate in normal
Paperclip control-plane behavior: agent defaults, project/issue
selection, route validation, and environment probing
> - Because this capability is still experimental, the UI surface should
be easy to hide and easy to remove later without undoing the underlying
implementation
> - This pull request adds SSH environment execution support across the
runtime, adapters, routes, schema, and tests, then puts the visible
environment-management UI behind an experimental flag
> - The benefit is that we can validate real SSH-backed agent execution
now while keeping the user-facing controls safely gated until the
feature is ready to come out of experimentation
## What Changed
- Added SSH-backed execution target support in the shared adapter
runtime, including remote workspace preparation, skill/runtime asset
sync, remote session handling, and workspace restore behavior after
runs.
- Added SSH execution coverage for supported local adapters, plus remote
execution tests across Claude, Codex, Cursor, Gemini, OpenCode, and Pi.
- Added environment selection and environment-management backend support
needed for SSH execution, including route/service work, validation,
probing, and agent default environment persistence.
- Added CLI support for SSH environment lab verification and updated
related docs/tests.
- Added the `enableEnvironments` experimental flag and gated the
environment UI behind it on company settings, agent configuration, and
project configuration surfaces.
## Verification
- `pnpm exec vitest run
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/cursor-local/src/server/execute.remote.test.ts
packages/adapters/gemini-local/src/server/execute.remote.test.ts
packages/adapters/opencode-local/src/server/execute.remote.test.ts
packages/adapters/pi-local/src/server/execute.remote.test.ts`
- `pnpm exec vitest run server/src/__tests__/environment-routes.test.ts`
- `pnpm exec vitest run
server/src/__tests__/instance-settings-routes.test.ts`
- `pnpm exec vitest run ui/src/lib/new-agent-hire-payload.test.ts
ui/src/lib/new-agent-runtime-config.test.ts`
- `pnpm -r typecheck`
- `pnpm build`
- Manual verification on a branch-local dev server:
- enabled the experimental flag
- created an SSH environment
- created a Linux Claude agent using that environment
- confirmed a run executed on the Linux box and synced workspace changes
back
## Risks
- Medium: this touches runtime execution flow across multiple adapters,
so regressions would likely show up in remote session setup, workspace
sync, or environment selection precedence.
- The UI flag reduces exposure, but the underlying runtime and route
changes are still substantial and rely on migration correctness.
- The change set is broad across adapters, control-plane services,
migrations, and UI gating, so review should pay close attention to
environment-selection precedence and remote workspace lifecycle
behavior.
## Model Used
- OpenAI Codex via Paperclip's local Codex adapter, GPT-5-class coding
model with tool use and code execution in the local repo workspace. The
local adapter does not surface a more specific public model version
string in this branch workflow.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-23 19:15:22 -07:00
|
|
|
runtimeRootDir: prepared.runtimeRootDir,
|
|
|
|
|
assetDirs: prepared.assetDirs,
|
|
|
|
|
restoreWorkspace: prepared.restoreWorkspace,
|
|
|
|
|
};
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
export function runtimeAssetDir(
|
|
|
|
|
prepared: Pick<PreparedAdapterExecutionTargetRuntime, "assetDirs">,
|
|
|
|
|
key: string,
|
|
|
|
|
fallbackRemoteCwd: string,
|
|
|
|
|
): string {
|
|
|
|
|
return prepared.assetDirs[key] ?? path.posix.join(fallbackRemoteCwd, ".paperclip-runtime", key);
|
|
|
|
|
}
|
Add sandbox callback bridge for remote environment API access (#4801)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents can run inside sandboxed environments like E2B, which are
isolated from the host network
> - Sandboxed agents need to call back to the Paperclip API to report
progress, post comments, and update issue status
> - But sandbox environments cannot reach the Paperclip server directly
because they run in isolated network namespaces
> - This PR adds a callback bridge that proxies API requests from the
sandbox to the Paperclip server, running as a local HTTP server on the
host that forwards authenticated requests
> - The bridge is started automatically when an adapter launches a
sandbox execution, and torn down when the run completes
> - The benefit is sandboxed agents can interact with the Paperclip API
without requiring network-level access to the host, enabling E2B and
similar providers to work end-to-end
## What Changed
- Added `sandbox-callback-bridge.ts` in `packages/adapter-utils/` — a
lightweight HTTP bridge server that accepts requests from sandbox
environments and proxies them to the Paperclip API with authentication
- Added request validation and security policy: the bridge only forwards
requests to the configured API URL, validates content types, enforces
size limits, and rejects non-API paths
- Wired the bridge into all remote adapter execute paths (claude, codex,
cursor, gemini, pi) — the bridge starts before the agent process and the
bridge URL is passed via environment variables
- Updated `environment-execution-target.ts` to prefer the explicit API
URL from environment lease metadata for sandbox callback routing
- Fixed Claude sandbox runtime setup to work with the bridge
configuration
- Added comprehensive test coverage for bridge request handling, policy
enforcement, and sandbox execution integration
- Fixed browser bundling — the bridge module is excluded from the
frontend bundle via the adapter-utils index export
## Verification
- `pnpm test` — all existing and new tests pass, including bridge unit
tests and sandbox execution integration tests
- `pnpm typecheck` — clean
- Manual: configure an E2B environment, run an agent task, verify the
agent can post comments and update issue status through the bridge
## Risks
- Medium. This is a new network-facing component (HTTP server on
localhost). The security policy restricts forwarding to the configured
API URL only and validates all requests, but any proxy introduces attack
surface. The bridge binds to localhost only and is scoped to the
lifetime of a single agent run.
## Model Used
Codex GPT 5.4 high via Paperclip.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-29 16:37:34 -07:00
|
|
|
|
|
|
|
|
function buildBridgeResponseHeaders(response: Response): Record<string, string> {
|
|
|
|
|
const out: Record<string, string> = {};
|
|
|
|
|
for (const key of ["content-type", "etag", "last-modified"]) {
|
|
|
|
|
const value = response.headers.get(key);
|
|
|
|
|
if (value && value.trim().length > 0) out[key] = value.trim();
|
|
|
|
|
}
|
|
|
|
|
return out;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
function buildBridgeForwardUrl(baseUrl: string, request: { path: string; query: string }): URL {
|
|
|
|
|
const url = new URL(request.path, baseUrl);
|
|
|
|
|
const query = request.query.trim();
|
|
|
|
|
url.search = query.startsWith("?") ? query.slice(1) : query;
|
|
|
|
|
return url;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
function bridgeResponseBodyLimitError(maxBodyBytes: number): Error {
|
|
|
|
|
return new Error(`Bridge response body exceeded the configured size limit of ${maxBodyBytes} bytes.`);
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
async function readBridgeForwardResponseBody(response: Response, maxBodyBytes: number): Promise<string> {
|
|
|
|
|
const rawContentLength = response.headers.get("content-length");
|
|
|
|
|
if (rawContentLength) {
|
|
|
|
|
const contentLength = Number.parseInt(rawContentLength, 10);
|
|
|
|
|
if (Number.isFinite(contentLength) && contentLength > maxBodyBytes) {
|
|
|
|
|
throw bridgeResponseBodyLimitError(maxBodyBytes);
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
if (!response.body) {
|
|
|
|
|
return "";
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
const reader = response.body.getReader();
|
|
|
|
|
const chunks: Buffer[] = [];
|
|
|
|
|
let totalBytes = 0;
|
|
|
|
|
while (true) {
|
|
|
|
|
const { done, value } = await reader.read();
|
|
|
|
|
if (done) break;
|
|
|
|
|
if (!value) continue;
|
|
|
|
|
totalBytes += value.byteLength;
|
|
|
|
|
if (totalBytes > maxBodyBytes) {
|
|
|
|
|
await reader.cancel().catch(() => undefined);
|
|
|
|
|
throw bridgeResponseBodyLimitError(maxBodyBytes);
|
|
|
|
|
}
|
|
|
|
|
chunks.push(Buffer.from(value));
|
|
|
|
|
}
|
|
|
|
|
return Buffer.concat(chunks, totalBytes).toString("utf8");
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
export async function startAdapterExecutionTargetPaperclipBridge(input: {
|
|
|
|
|
runId: string;
|
|
|
|
|
target: AdapterExecutionTarget | null | undefined;
|
|
|
|
|
runtimeRootDir: string | null | undefined;
|
|
|
|
|
adapterKey: string;
|
|
|
|
|
hostApiToken: string | null | undefined;
|
|
|
|
|
hostApiUrl?: string | null;
|
|
|
|
|
onLog?: (stream: "stdout" | "stderr", chunk: string) => Promise<void>;
|
|
|
|
|
maxBodyBytes?: number | null;
|
|
|
|
|
}): Promise<AdapterExecutionTargetPaperclipBridgeHandle | null> {
|
|
|
|
|
if (!adapterExecutionTargetUsesPaperclipBridge(input.target)) {
|
|
|
|
|
return null;
|
|
|
|
|
}
|
Migrate SSH environment callback to bridge (#5116)
> **Stacked PR (part 3 of 7).** Depends on:
- PR #5114
- PR #5115
> Diff against `master` includes commits from earlier PRs in the stack —
the new commit in this PR is the topmost one.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents executing on a remote SSH-backed environment need a way to
call back into
> the Paperclip control plane (run events, log streaming, signals)
> - When the SSH host can't reach the Paperclip host (NAT, firewalls, or
simply not
> on the same network), the run silently fails or hangs — a recurring
class of
> failure during SSH testing
> - In sandboxed environments we already solved this with a callback
bridge that
> tunnels back through the existing connection; SSH was the odd one out
> - This PR migrates SSH execution to use the same callback bridge, so
every
> adapter's remote run uses one consistent reverse-channel. Per-adapter
SSH glue
> is deleted in favour of a shared `CommandManagedRuntimeRunner` built
from the
> SSH spec
> - The benefit is fewer SSH-specific failure modes, a smaller code
surface, and
> one place to evolve the callback contract going forward
## What Changed
- Added `createSshCommandManagedRuntimeRunner` in
`packages/adapter-utils/src/ssh.ts` that adapts an SSH spec into a
generic
command-managed-runtime runner (with cwd, env, and timeout handling)
- Removed `paperclipApiUrl` from `SshRemoteExecutionSpec`; the bridge
URL now flows
through the shared runner
- Reworked `execution-target.ts` to use the SSH runner alongside sandbox
runners
via a unified `CommandManagedRuntimeRunner` interface
- Simplified `remote-managed-runtime.ts` and
`sandbox-managed-runtime.ts` to consume
the shared runner abstraction
- Deleted per-adapter SSH callback wiring from claude-local,
codex-local,
cursor-local, gemini-local, opencode-local, pi-local execute.ts files
- Removed `environment-runtime-driver-contract.test.ts` (the contract is
now
enforced by `environment-execution-target.test.ts`)
- Added/updated `execute.remote.test.ts` cases for each adapter to cover
the SSH
runner path
## Verification
- `pnpm --filter @paperclipai/adapter-utils test`
- `pnpm test -- execute.remote` (covers all six local adapters' SSH
paths)
- Manual QA: ran a claude-local agent against an SSH-backed environment,
confirmed
the agent successfully called back to `/api/agent-callback/*` endpoints
during
the run
## Risks
- Refactor touches all six local adapters. If any adapter had subtle
SSH-specific
behaviour that wasn't captured in tests, it could regress. Mitigation:
each
adapter's `execute.remote.test.ts` was extended.
- `paperclipApiUrl` removal from `SshRemoteExecutionSpec` is a breaking
type change
for any internal consumer. Verified no external plugins consume this
type.
- The new `CommandManagedRuntimeRunner` shape is a public surface in
`@paperclipai/adapter-utils`; downstream plugins implementing custom
runners may
need updates, but no such plugins exist in this repo.
## Model Used
- OpenAI GPT-5.4 (reasoning effort: high) via Codex CLI
- Provider: OpenAI
- Used to author the code changes in this PR
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots — N/A
- [ ] I have updated relevant documentation to reflect my changes — N/A
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-03 12:43:52 -07:00
|
|
|
if (!input.target || input.target.kind !== "remote") {
|
Add sandbox callback bridge for remote environment API access (#4801)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents can run inside sandboxed environments like E2B, which are
isolated from the host network
> - Sandboxed agents need to call back to the Paperclip API to report
progress, post comments, and update issue status
> - But sandbox environments cannot reach the Paperclip server directly
because they run in isolated network namespaces
> - This PR adds a callback bridge that proxies API requests from the
sandbox to the Paperclip server, running as a local HTTP server on the
host that forwards authenticated requests
> - The bridge is started automatically when an adapter launches a
sandbox execution, and torn down when the run completes
> - The benefit is sandboxed agents can interact with the Paperclip API
without requiring network-level access to the host, enabling E2B and
similar providers to work end-to-end
## What Changed
- Added `sandbox-callback-bridge.ts` in `packages/adapter-utils/` — a
lightweight HTTP bridge server that accepts requests from sandbox
environments and proxies them to the Paperclip API with authentication
- Added request validation and security policy: the bridge only forwards
requests to the configured API URL, validates content types, enforces
size limits, and rejects non-API paths
- Wired the bridge into all remote adapter execute paths (claude, codex,
cursor, gemini, pi) — the bridge starts before the agent process and the
bridge URL is passed via environment variables
- Updated `environment-execution-target.ts` to prefer the explicit API
URL from environment lease metadata for sandbox callback routing
- Fixed Claude sandbox runtime setup to work with the bridge
configuration
- Added comprehensive test coverage for bridge request handling, policy
enforcement, and sandbox execution integration
- Fixed browser bundling — the bridge module is excluded from the
frontend bundle via the adapter-utils index export
## Verification
- `pnpm test` — all existing and new tests pass, including bridge unit
tests and sandbox execution integration tests
- `pnpm typecheck` — clean
- Manual: configure an E2B environment, run an agent task, verify the
agent can post comments and update issue status through the bridge
## Risks
- Medium. This is a new network-facing component (HTTP server on
localhost). The security policy restricts forwarding to the configured
API URL only and validates all requests, but any proxy introduces attack
surface. The bridge binds to localhost only and is scoped to the
lifetime of a single agent run.
## Model Used
Codex GPT 5.4 high via Paperclip.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-29 16:37:34 -07:00
|
|
|
return null;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
const target = input.target;
|
|
|
|
|
const onLog = input.onLog ?? (async () => {});
|
|
|
|
|
const hostApiToken = input.hostApiToken?.trim() ?? "";
|
|
|
|
|
if (hostApiToken.length === 0) {
|
|
|
|
|
throw new Error("Sandbox bridge mode requires a host-side Paperclip API token.");
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
const runtimeRootDir =
|
|
|
|
|
input.runtimeRootDir?.trim().length
|
|
|
|
|
? input.runtimeRootDir.trim()
|
|
|
|
|
: path.posix.join(target.remoteCwd, ".paperclip-runtime", input.adapterKey);
|
|
|
|
|
const bridgeRuntimeDir = path.posix.join(runtimeRootDir, "paperclip-bridge");
|
|
|
|
|
const queueDir = path.posix.join(bridgeRuntimeDir, "queue");
|
|
|
|
|
const assetRemoteDir = path.posix.join(bridgeRuntimeDir, "server");
|
|
|
|
|
const bridgeToken = createSandboxCallbackBridgeToken();
|
|
|
|
|
const maxBodyBytes =
|
|
|
|
|
typeof input.maxBodyBytes === "number" && Number.isFinite(input.maxBodyBytes) && input.maxBodyBytes > 0
|
|
|
|
|
? Math.trunc(input.maxBodyBytes)
|
|
|
|
|
: DEFAULT_SANDBOX_CALLBACK_BRIDGE_MAX_BODY_BYTES;
|
|
|
|
|
const hostApiUrl =
|
|
|
|
|
input.hostApiUrl?.trim() ||
|
|
|
|
|
process.env.PAPERCLIP_RUNTIME_API_URL?.trim() ||
|
|
|
|
|
process.env.PAPERCLIP_API_URL?.trim() ||
|
|
|
|
|
resolveDefaultPaperclipApiUrl();
|
Migrate SSH environment callback to bridge (#5116)
> **Stacked PR (part 3 of 7).** Depends on:
- PR #5114
- PR #5115
> Diff against `master` includes commits from earlier PRs in the stack —
the new commit in this PR is the topmost one.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents executing on a remote SSH-backed environment need a way to
call back into
> the Paperclip control plane (run events, log streaming, signals)
> - When the SSH host can't reach the Paperclip host (NAT, firewalls, or
simply not
> on the same network), the run silently fails or hangs — a recurring
class of
> failure during SSH testing
> - In sandboxed environments we already solved this with a callback
bridge that
> tunnels back through the existing connection; SSH was the odd one out
> - This PR migrates SSH execution to use the same callback bridge, so
every
> adapter's remote run uses one consistent reverse-channel. Per-adapter
SSH glue
> is deleted in favour of a shared `CommandManagedRuntimeRunner` built
from the
> SSH spec
> - The benefit is fewer SSH-specific failure modes, a smaller code
surface, and
> one place to evolve the callback contract going forward
## What Changed
- Added `createSshCommandManagedRuntimeRunner` in
`packages/adapter-utils/src/ssh.ts` that adapts an SSH spec into a
generic
command-managed-runtime runner (with cwd, env, and timeout handling)
- Removed `paperclipApiUrl` from `SshRemoteExecutionSpec`; the bridge
URL now flows
through the shared runner
- Reworked `execution-target.ts` to use the SSH runner alongside sandbox
runners
via a unified `CommandManagedRuntimeRunner` interface
- Simplified `remote-managed-runtime.ts` and
`sandbox-managed-runtime.ts` to consume
the shared runner abstraction
- Deleted per-adapter SSH callback wiring from claude-local,
codex-local,
cursor-local, gemini-local, opencode-local, pi-local execute.ts files
- Removed `environment-runtime-driver-contract.test.ts` (the contract is
now
enforced by `environment-execution-target.test.ts`)
- Added/updated `execute.remote.test.ts` cases for each adapter to cover
the SSH
runner path
## Verification
- `pnpm --filter @paperclipai/adapter-utils test`
- `pnpm test -- execute.remote` (covers all six local adapters' SSH
paths)
- Manual QA: ran a claude-local agent against an SSH-backed environment,
confirmed
the agent successfully called back to `/api/agent-callback/*` endpoints
during
the run
## Risks
- Refactor touches all six local adapters. If any adapter had subtle
SSH-specific
behaviour that wasn't captured in tests, it could regress. Mitigation:
each
adapter's `execute.remote.test.ts` was extended.
- `paperclipApiUrl` removal from `SshRemoteExecutionSpec` is a breaking
type change
for any internal consumer. Verified no external plugins consume this
type.
- The new `CommandManagedRuntimeRunner` shape is a public surface in
`@paperclipai/adapter-utils`; downstream plugins implementing custom
runners may
need updates, but no such plugins exist in this repo.
## Model Used
- OpenAI GPT-5.4 (reasoning effort: high) via Codex CLI
- Provider: OpenAI
- Used to author the code changes in this PR
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots — N/A
- [ ] I have updated relevant documentation to reflect my changes — N/A
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-03 12:43:52 -07:00
|
|
|
const shellCommand = adapterExecutionTargetShellCommand(target);
|
|
|
|
|
const runner = adapterExecutionTargetCommandRunner(target);
|
Add sandbox callback bridge for remote environment API access (#4801)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents can run inside sandboxed environments like E2B, which are
isolated from the host network
> - Sandboxed agents need to call back to the Paperclip API to report
progress, post comments, and update issue status
> - But sandbox environments cannot reach the Paperclip server directly
because they run in isolated network namespaces
> - This PR adds a callback bridge that proxies API requests from the
sandbox to the Paperclip server, running as a local HTTP server on the
host that forwards authenticated requests
> - The bridge is started automatically when an adapter launches a
sandbox execution, and torn down when the run completes
> - The benefit is sandboxed agents can interact with the Paperclip API
without requiring network-level access to the host, enabling E2B and
similar providers to work end-to-end
## What Changed
- Added `sandbox-callback-bridge.ts` in `packages/adapter-utils/` — a
lightweight HTTP bridge server that accepts requests from sandbox
environments and proxies them to the Paperclip API with authentication
- Added request validation and security policy: the bridge only forwards
requests to the configured API URL, validates content types, enforces
size limits, and rejects non-API paths
- Wired the bridge into all remote adapter execute paths (claude, codex,
cursor, gemini, pi) — the bridge starts before the agent process and the
bridge URL is passed via environment variables
- Updated `environment-execution-target.ts` to prefer the explicit API
URL from environment lease metadata for sandbox callback routing
- Fixed Claude sandbox runtime setup to work with the bridge
configuration
- Added comprehensive test coverage for bridge request handling, policy
enforcement, and sandbox execution integration
- Fixed browser bundling — the bridge module is excluded from the
frontend bundle via the adapter-utils index export
## Verification
- `pnpm test` — all existing and new tests pass, including bridge unit
tests and sandbox execution integration tests
- `pnpm typecheck` — clean
- Manual: configure an E2B environment, run an agent task, verify the
agent can post comments and update issue status through the bridge
## Risks
- Medium. This is a new network-facing component (HTTP server on
localhost). The security policy restricts forwarding to the configured
API URL only and validates all requests, but any proxy introduces attack
surface. The bridge binds to localhost only and is scoped to the
lifetime of a single agent run.
## Model Used
Codex GPT 5.4 high via Paperclip.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-29 16:37:34 -07:00
|
|
|
|
|
|
|
|
await onLog(
|
|
|
|
|
"stdout",
|
|
|
|
|
`[paperclip] Starting sandbox callback bridge for ${input.adapterKey} in ${bridgeRuntimeDir}.\n`,
|
|
|
|
|
);
|
|
|
|
|
|
|
|
|
|
const bridgeAsset = await createSandboxCallbackBridgeAsset();
|
|
|
|
|
let server: Awaited<ReturnType<typeof startSandboxCallbackBridgeServer>> | null = null;
|
|
|
|
|
let worker: Awaited<ReturnType<typeof startSandboxCallbackBridgeWorker>> | null = null;
|
|
|
|
|
try {
|
|
|
|
|
const client = createCommandManagedSandboxCallbackBridgeQueueClient({
|
Migrate SSH environment callback to bridge (#5116)
> **Stacked PR (part 3 of 7).** Depends on:
- PR #5114
- PR #5115
> Diff against `master` includes commits from earlier PRs in the stack —
the new commit in this PR is the topmost one.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents executing on a remote SSH-backed environment need a way to
call back into
> the Paperclip control plane (run events, log streaming, signals)
> - When the SSH host can't reach the Paperclip host (NAT, firewalls, or
simply not
> on the same network), the run silently fails or hangs — a recurring
class of
> failure during SSH testing
> - In sandboxed environments we already solved this with a callback
bridge that
> tunnels back through the existing connection; SSH was the odd one out
> - This PR migrates SSH execution to use the same callback bridge, so
every
> adapter's remote run uses one consistent reverse-channel. Per-adapter
SSH glue
> is deleted in favour of a shared `CommandManagedRuntimeRunner` built
from the
> SSH spec
> - The benefit is fewer SSH-specific failure modes, a smaller code
surface, and
> one place to evolve the callback contract going forward
## What Changed
- Added `createSshCommandManagedRuntimeRunner` in
`packages/adapter-utils/src/ssh.ts` that adapts an SSH spec into a
generic
command-managed-runtime runner (with cwd, env, and timeout handling)
- Removed `paperclipApiUrl` from `SshRemoteExecutionSpec`; the bridge
URL now flows
through the shared runner
- Reworked `execution-target.ts` to use the SSH runner alongside sandbox
runners
via a unified `CommandManagedRuntimeRunner` interface
- Simplified `remote-managed-runtime.ts` and
`sandbox-managed-runtime.ts` to consume
the shared runner abstraction
- Deleted per-adapter SSH callback wiring from claude-local,
codex-local,
cursor-local, gemini-local, opencode-local, pi-local execute.ts files
- Removed `environment-runtime-driver-contract.test.ts` (the contract is
now
enforced by `environment-execution-target.test.ts`)
- Added/updated `execute.remote.test.ts` cases for each adapter to cover
the SSH
runner path
## Verification
- `pnpm --filter @paperclipai/adapter-utils test`
- `pnpm test -- execute.remote` (covers all six local adapters' SSH
paths)
- Manual QA: ran a claude-local agent against an SSH-backed environment,
confirmed
the agent successfully called back to `/api/agent-callback/*` endpoints
during
the run
## Risks
- Refactor touches all six local adapters. If any adapter had subtle
SSH-specific
behaviour that wasn't captured in tests, it could regress. Mitigation:
each
adapter's `execute.remote.test.ts` was extended.
- `paperclipApiUrl` removal from `SshRemoteExecutionSpec` is a breaking
type change
for any internal consumer. Verified no external plugins consume this
type.
- The new `CommandManagedRuntimeRunner` shape is a public surface in
`@paperclipai/adapter-utils`; downstream plugins implementing custom
runners may
need updates, but no such plugins exist in this repo.
## Model Used
- OpenAI GPT-5.4 (reasoning effort: high) via Codex CLI
- Provider: OpenAI
- Used to author the code changes in this PR
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots — N/A
- [ ] I have updated relevant documentation to reflect my changes — N/A
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-03 12:43:52 -07:00
|
|
|
runner,
|
Add sandbox callback bridge for remote environment API access (#4801)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents can run inside sandboxed environments like E2B, which are
isolated from the host network
> - Sandboxed agents need to call back to the Paperclip API to report
progress, post comments, and update issue status
> - But sandbox environments cannot reach the Paperclip server directly
because they run in isolated network namespaces
> - This PR adds a callback bridge that proxies API requests from the
sandbox to the Paperclip server, running as a local HTTP server on the
host that forwards authenticated requests
> - The bridge is started automatically when an adapter launches a
sandbox execution, and torn down when the run completes
> - The benefit is sandboxed agents can interact with the Paperclip API
without requiring network-level access to the host, enabling E2B and
similar providers to work end-to-end
## What Changed
- Added `sandbox-callback-bridge.ts` in `packages/adapter-utils/` — a
lightweight HTTP bridge server that accepts requests from sandbox
environments and proxies them to the Paperclip API with authentication
- Added request validation and security policy: the bridge only forwards
requests to the configured API URL, validates content types, enforces
size limits, and rejects non-API paths
- Wired the bridge into all remote adapter execute paths (claude, codex,
cursor, gemini, pi) — the bridge starts before the agent process and the
bridge URL is passed via environment variables
- Updated `environment-execution-target.ts` to prefer the explicit API
URL from environment lease metadata for sandbox callback routing
- Fixed Claude sandbox runtime setup to work with the bridge
configuration
- Added comprehensive test coverage for bridge request handling, policy
enforcement, and sandbox execution integration
- Fixed browser bundling — the bridge module is excluded from the
frontend bundle via the adapter-utils index export
## Verification
- `pnpm test` — all existing and new tests pass, including bridge unit
tests and sandbox execution integration tests
- `pnpm typecheck` — clean
- Manual: configure an E2B environment, run an agent task, verify the
agent can post comments and update issue status through the bridge
## Risks
- Medium. This is a new network-facing component (HTTP server on
localhost). The security policy restricts forwarding to the configured
API URL only and validates all requests, but any proxy introduces attack
surface. The bridge binds to localhost only and is scoped to the
lifetime of a single agent run.
## Model Used
Codex GPT 5.4 high via Paperclip.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-29 16:37:34 -07:00
|
|
|
remoteCwd: target.remoteCwd,
|
Migrate SSH environment callback to bridge (#5116)
> **Stacked PR (part 3 of 7).** Depends on:
- PR #5114
- PR #5115
> Diff against `master` includes commits from earlier PRs in the stack —
the new commit in this PR is the topmost one.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents executing on a remote SSH-backed environment need a way to
call back into
> the Paperclip control plane (run events, log streaming, signals)
> - When the SSH host can't reach the Paperclip host (NAT, firewalls, or
simply not
> on the same network), the run silently fails or hangs — a recurring
class of
> failure during SSH testing
> - In sandboxed environments we already solved this with a callback
bridge that
> tunnels back through the existing connection; SSH was the odd one out
> - This PR migrates SSH execution to use the same callback bridge, so
every
> adapter's remote run uses one consistent reverse-channel. Per-adapter
SSH glue
> is deleted in favour of a shared `CommandManagedRuntimeRunner` built
from the
> SSH spec
> - The benefit is fewer SSH-specific failure modes, a smaller code
surface, and
> one place to evolve the callback contract going forward
## What Changed
- Added `createSshCommandManagedRuntimeRunner` in
`packages/adapter-utils/src/ssh.ts` that adapts an SSH spec into a
generic
command-managed-runtime runner (with cwd, env, and timeout handling)
- Removed `paperclipApiUrl` from `SshRemoteExecutionSpec`; the bridge
URL now flows
through the shared runner
- Reworked `execution-target.ts` to use the SSH runner alongside sandbox
runners
via a unified `CommandManagedRuntimeRunner` interface
- Simplified `remote-managed-runtime.ts` and
`sandbox-managed-runtime.ts` to consume
the shared runner abstraction
- Deleted per-adapter SSH callback wiring from claude-local,
codex-local,
cursor-local, gemini-local, opencode-local, pi-local execute.ts files
- Removed `environment-runtime-driver-contract.test.ts` (the contract is
now
enforced by `environment-execution-target.test.ts`)
- Added/updated `execute.remote.test.ts` cases for each adapter to cover
the SSH
runner path
## Verification
- `pnpm --filter @paperclipai/adapter-utils test`
- `pnpm test -- execute.remote` (covers all six local adapters' SSH
paths)
- Manual QA: ran a claude-local agent against an SSH-backed environment,
confirmed
the agent successfully called back to `/api/agent-callback/*` endpoints
during
the run
## Risks
- Refactor touches all six local adapters. If any adapter had subtle
SSH-specific
behaviour that wasn't captured in tests, it could regress. Mitigation:
each
adapter's `execute.remote.test.ts` was extended.
- `paperclipApiUrl` removal from `SshRemoteExecutionSpec` is a breaking
type change
for any internal consumer. Verified no external plugins consume this
type.
- The new `CommandManagedRuntimeRunner` shape is a public surface in
`@paperclipai/adapter-utils`; downstream plugins implementing custom
runners may
need updates, but no such plugins exist in this repo.
## Model Used
- OpenAI GPT-5.4 (reasoning effort: high) via Codex CLI
- Provider: OpenAI
- Used to author the code changes in this PR
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots — N/A
- [ ] I have updated relevant documentation to reflect my changes — N/A
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-03 12:43:52 -07:00
|
|
|
timeoutMs: adapterExecutionTargetTimeoutMs(target),
|
|
|
|
|
shellCommand,
|
Add sandbox callback bridge for remote environment API access (#4801)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents can run inside sandboxed environments like E2B, which are
isolated from the host network
> - Sandboxed agents need to call back to the Paperclip API to report
progress, post comments, and update issue status
> - But sandbox environments cannot reach the Paperclip server directly
because they run in isolated network namespaces
> - This PR adds a callback bridge that proxies API requests from the
sandbox to the Paperclip server, running as a local HTTP server on the
host that forwards authenticated requests
> - The bridge is started automatically when an adapter launches a
sandbox execution, and torn down when the run completes
> - The benefit is sandboxed agents can interact with the Paperclip API
without requiring network-level access to the host, enabling E2B and
similar providers to work end-to-end
## What Changed
- Added `sandbox-callback-bridge.ts` in `packages/adapter-utils/` — a
lightweight HTTP bridge server that accepts requests from sandbox
environments and proxies them to the Paperclip API with authentication
- Added request validation and security policy: the bridge only forwards
requests to the configured API URL, validates content types, enforces
size limits, and rejects non-API paths
- Wired the bridge into all remote adapter execute paths (claude, codex,
cursor, gemini, pi) — the bridge starts before the agent process and the
bridge URL is passed via environment variables
- Updated `environment-execution-target.ts` to prefer the explicit API
URL from environment lease metadata for sandbox callback routing
- Fixed Claude sandbox runtime setup to work with the bridge
configuration
- Added comprehensive test coverage for bridge request handling, policy
enforcement, and sandbox execution integration
- Fixed browser bundling — the bridge module is excluded from the
frontend bundle via the adapter-utils index export
## Verification
- `pnpm test` — all existing and new tests pass, including bridge unit
tests and sandbox execution integration tests
- `pnpm typecheck` — clean
- Manual: configure an E2B environment, run an agent task, verify the
agent can post comments and update issue status through the bridge
## Risks
- Medium. This is a new network-facing component (HTTP server on
localhost). The security policy restricts forwarding to the configured
API URL only and validates all requests, but any proxy introduces attack
surface. The bridge binds to localhost only and is scoped to the
lifetime of a single agent run.
## Model Used
Codex GPT 5.4 high via Paperclip.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-29 16:37:34 -07:00
|
|
|
});
|
Add optional bridge proxy request logging via PAPERCLIP_BRIDGE_DEBUG (#5140)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents on remote sandboxes call back into the Paperclip control
plane via a
> callback bridge — the host process running the bridge proxies HTTP
requests
> from the sandbox to the Paperclip API
> - When something goes wrong end-to-end (sandbox can't reach Paperclip,
requests
> timing out, malformed responses), it's hard to tell whether the bridge
> processed the request, what URL/method it used, and what the upstream
> responded with
> - There was no built-in way to log bridge proxy traffic without
modifying
> adapter code or attaching a debugger
> - This PR adds opt-in stdout logging of every bridge proxy request and
response
> (method, path, query, status), gated behind `PAPERCLIP_BRIDGE_DEBUG`
so it
> stays off by default
> - The benefit is that operators can flip a single env var to get full
visibility
> into bridge traffic when debugging remote runs, without changing code
## What Changed
- `packages/adapter-utils/src/execution-target.ts`:
`startAdapterExecutionTargetPaperclipBridge`'s `handleRequest` now logs
each
proxied request and response when `PAPERCLIP_BRIDGE_DEBUG` is truthy:
- `[paperclip] Bridge proxy <METHOD> <path>?<query>` before fetch
- `[paperclip] Bridge proxy response <status> for <METHOD>
<path>?<query>` after
- Logging is no-op when the env var is unset/`"0"`/`"false"`.
## Verification
- Set `PAPERCLIP_BRIDGE_DEBUG=1` in the host process env, run an agent
against
a sandbox-backed environment, confirm the bridge log lines appear in
stdout.
- Unset the env var and confirm no extra log lines appear during normal
runs.
## Risks
- Off-by-default, no observable change for shipping users.
- When enabled, the logging is verbose — every API call from the sandbox
produces 2 stdout lines. Operators should only enable it during active
debugging.
## Model Used
- OpenAI GPT-5.4 (reasoning effort: high) via Codex CLI
- Provider: OpenAI
- Used to author the code changes in this PR
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [ ] I have added or updated tests where applicable — covered by
exercising the
flag in dev; the underlying handleRequest behavior is unchanged
- [ ] If this change affects the UI, I have included before/after
screenshots — N/A
- [ ] I have updated relevant documentation to reflect my changes — N/A
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-03 18:34:48 -07:00
|
|
|
// PAPERCLIP_BRIDGE_DEBUG opts into verbose stdout logs of every bridge
|
|
|
|
|
// proxy request/response. The query string is logged verbatim, so callers
|
|
|
|
|
// who pass auth tokens or other sensitive values as query parameters
|
|
|
|
|
// should be aware those values appear in the host process's stdout when
|
|
|
|
|
// this flag is enabled. Only intended for active debugging in trusted
|
|
|
|
|
// environments.
|
|
|
|
|
const bridgeDebugEnabled = isBridgeDebugEnabled(process.env);
|
Add sandbox callback bridge for remote environment API access (#4801)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents can run inside sandboxed environments like E2B, which are
isolated from the host network
> - Sandboxed agents need to call back to the Paperclip API to report
progress, post comments, and update issue status
> - But sandbox environments cannot reach the Paperclip server directly
because they run in isolated network namespaces
> - This PR adds a callback bridge that proxies API requests from the
sandbox to the Paperclip server, running as a local HTTP server on the
host that forwards authenticated requests
> - The bridge is started automatically when an adapter launches a
sandbox execution, and torn down when the run completes
> - The benefit is sandboxed agents can interact with the Paperclip API
without requiring network-level access to the host, enabling E2B and
similar providers to work end-to-end
## What Changed
- Added `sandbox-callback-bridge.ts` in `packages/adapter-utils/` — a
lightweight HTTP bridge server that accepts requests from sandbox
environments and proxies them to the Paperclip API with authentication
- Added request validation and security policy: the bridge only forwards
requests to the configured API URL, validates content types, enforces
size limits, and rejects non-API paths
- Wired the bridge into all remote adapter execute paths (claude, codex,
cursor, gemini, pi) — the bridge starts before the agent process and the
bridge URL is passed via environment variables
- Updated `environment-execution-target.ts` to prefer the explicit API
URL from environment lease metadata for sandbox callback routing
- Fixed Claude sandbox runtime setup to work with the bridge
configuration
- Added comprehensive test coverage for bridge request handling, policy
enforcement, and sandbox execution integration
- Fixed browser bundling — the bridge module is excluded from the
frontend bundle via the adapter-utils index export
## Verification
- `pnpm test` — all existing and new tests pass, including bridge unit
tests and sandbox execution integration tests
- `pnpm typecheck` — clean
- Manual: configure an E2B environment, run an agent task, verify the
agent can post comments and update issue status through the bridge
## Risks
- Medium. This is a new network-facing component (HTTP server on
localhost). The security policy restricts forwarding to the configured
API URL only and validates all requests, but any proxy introduces attack
surface. The bridge binds to localhost only and is scoped to the
lifetime of a single agent run.
## Model Used
Codex GPT 5.4 high via Paperclip.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-29 16:37:34 -07:00
|
|
|
worker = await startSandboxCallbackBridgeWorker({
|
|
|
|
|
client,
|
|
|
|
|
queueDir,
|
|
|
|
|
maxBodyBytes,
|
|
|
|
|
handleRequest: async (request) => {
|
Add optional bridge proxy request logging via PAPERCLIP_BRIDGE_DEBUG (#5140)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents on remote sandboxes call back into the Paperclip control
plane via a
> callback bridge — the host process running the bridge proxies HTTP
requests
> from the sandbox to the Paperclip API
> - When something goes wrong end-to-end (sandbox can't reach Paperclip,
requests
> timing out, malformed responses), it's hard to tell whether the bridge
> processed the request, what URL/method it used, and what the upstream
> responded with
> - There was no built-in way to log bridge proxy traffic without
modifying
> adapter code or attaching a debugger
> - This PR adds opt-in stdout logging of every bridge proxy request and
response
> (method, path, query, status), gated behind `PAPERCLIP_BRIDGE_DEBUG`
so it
> stays off by default
> - The benefit is that operators can flip a single env var to get full
visibility
> into bridge traffic when debugging remote runs, without changing code
## What Changed
- `packages/adapter-utils/src/execution-target.ts`:
`startAdapterExecutionTargetPaperclipBridge`'s `handleRequest` now logs
each
proxied request and response when `PAPERCLIP_BRIDGE_DEBUG` is truthy:
- `[paperclip] Bridge proxy <METHOD> <path>?<query>` before fetch
- `[paperclip] Bridge proxy response <status> for <METHOD>
<path>?<query>` after
- Logging is no-op when the env var is unset/`"0"`/`"false"`.
## Verification
- Set `PAPERCLIP_BRIDGE_DEBUG=1` in the host process env, run an agent
against
a sandbox-backed environment, confirm the bridge log lines appear in
stdout.
- Unset the env var and confirm no extra log lines appear during normal
runs.
## Risks
- Off-by-default, no observable change for shipping users.
- When enabled, the logging is verbose — every API call from the sandbox
produces 2 stdout lines. Operators should only enable it during active
debugging.
## Model Used
- OpenAI GPT-5.4 (reasoning effort: high) via Codex CLI
- Provider: OpenAI
- Used to author the code changes in this PR
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [ ] I have added or updated tests where applicable — covered by
exercising the
flag in dev; the underlying handleRequest behavior is unchanged
- [ ] If this change affects the UI, I have included before/after
screenshots — N/A
- [ ] I have updated relevant documentation to reflect my changes — N/A
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-03 18:34:48 -07:00
|
|
|
const method = request.method.trim().toUpperCase() || "GET";
|
|
|
|
|
if (bridgeDebugEnabled) {
|
|
|
|
|
await onLog(
|
|
|
|
|
"stdout",
|
|
|
|
|
`[paperclip] Bridge proxy ${method} ${request.path}${request.query ? `?${request.query}` : ""}\n`,
|
|
|
|
|
);
|
|
|
|
|
}
|
Add sandbox callback bridge for remote environment API access (#4801)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents can run inside sandboxed environments like E2B, which are
isolated from the host network
> - Sandboxed agents need to call back to the Paperclip API to report
progress, post comments, and update issue status
> - But sandbox environments cannot reach the Paperclip server directly
because they run in isolated network namespaces
> - This PR adds a callback bridge that proxies API requests from the
sandbox to the Paperclip server, running as a local HTTP server on the
host that forwards authenticated requests
> - The bridge is started automatically when an adapter launches a
sandbox execution, and torn down when the run completes
> - The benefit is sandboxed agents can interact with the Paperclip API
without requiring network-level access to the host, enabling E2B and
similar providers to work end-to-end
## What Changed
- Added `sandbox-callback-bridge.ts` in `packages/adapter-utils/` — a
lightweight HTTP bridge server that accepts requests from sandbox
environments and proxies them to the Paperclip API with authentication
- Added request validation and security policy: the bridge only forwards
requests to the configured API URL, validates content types, enforces
size limits, and rejects non-API paths
- Wired the bridge into all remote adapter execute paths (claude, codex,
cursor, gemini, pi) — the bridge starts before the agent process and the
bridge URL is passed via environment variables
- Updated `environment-execution-target.ts` to prefer the explicit API
URL from environment lease metadata for sandbox callback routing
- Fixed Claude sandbox runtime setup to work with the bridge
configuration
- Added comprehensive test coverage for bridge request handling, policy
enforcement, and sandbox execution integration
- Fixed browser bundling — the bridge module is excluded from the
frontend bundle via the adapter-utils index export
## Verification
- `pnpm test` — all existing and new tests pass, including bridge unit
tests and sandbox execution integration tests
- `pnpm typecheck` — clean
- Manual: configure an E2B environment, run an agent task, verify the
agent can post comments and update issue status through the bridge
## Risks
- Medium. This is a new network-facing component (HTTP server on
localhost). The security policy restricts forwarding to the configured
API URL only and validates all requests, but any proxy introduces attack
surface. The bridge binds to localhost only and is scoped to the
lifetime of a single agent run.
## Model Used
Codex GPT 5.4 high via Paperclip.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-29 16:37:34 -07:00
|
|
|
const headers = new Headers();
|
|
|
|
|
for (const [key, value] of Object.entries(request.headers)) {
|
|
|
|
|
if (value.trim().length === 0) continue;
|
|
|
|
|
headers.set(key, value);
|
|
|
|
|
}
|
|
|
|
|
headers.set("authorization", `Bearer ${hostApiToken}`);
|
|
|
|
|
headers.set("x-paperclip-run-id", input.runId);
|
|
|
|
|
const response = await fetch(buildBridgeForwardUrl(hostApiUrl, request), {
|
|
|
|
|
method,
|
|
|
|
|
headers,
|
|
|
|
|
...(method === "GET" || method === "HEAD" ? {} : { body: request.body }),
|
|
|
|
|
signal: AbortSignal.timeout(30_000),
|
|
|
|
|
});
|
Add optional bridge proxy request logging via PAPERCLIP_BRIDGE_DEBUG (#5140)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents on remote sandboxes call back into the Paperclip control
plane via a
> callback bridge — the host process running the bridge proxies HTTP
requests
> from the sandbox to the Paperclip API
> - When something goes wrong end-to-end (sandbox can't reach Paperclip,
requests
> timing out, malformed responses), it's hard to tell whether the bridge
> processed the request, what URL/method it used, and what the upstream
> responded with
> - There was no built-in way to log bridge proxy traffic without
modifying
> adapter code or attaching a debugger
> - This PR adds opt-in stdout logging of every bridge proxy request and
response
> (method, path, query, status), gated behind `PAPERCLIP_BRIDGE_DEBUG`
so it
> stays off by default
> - The benefit is that operators can flip a single env var to get full
visibility
> into bridge traffic when debugging remote runs, without changing code
## What Changed
- `packages/adapter-utils/src/execution-target.ts`:
`startAdapterExecutionTargetPaperclipBridge`'s `handleRequest` now logs
each
proxied request and response when `PAPERCLIP_BRIDGE_DEBUG` is truthy:
- `[paperclip] Bridge proxy <METHOD> <path>?<query>` before fetch
- `[paperclip] Bridge proxy response <status> for <METHOD>
<path>?<query>` after
- Logging is no-op when the env var is unset/`"0"`/`"false"`.
## Verification
- Set `PAPERCLIP_BRIDGE_DEBUG=1` in the host process env, run an agent
against
a sandbox-backed environment, confirm the bridge log lines appear in
stdout.
- Unset the env var and confirm no extra log lines appear during normal
runs.
## Risks
- Off-by-default, no observable change for shipping users.
- When enabled, the logging is verbose — every API call from the sandbox
produces 2 stdout lines. Operators should only enable it during active
debugging.
## Model Used
- OpenAI GPT-5.4 (reasoning effort: high) via Codex CLI
- Provider: OpenAI
- Used to author the code changes in this PR
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [ ] I have added or updated tests where applicable — covered by
exercising the
flag in dev; the underlying handleRequest behavior is unchanged
- [ ] If this change affects the UI, I have included before/after
screenshots — N/A
- [ ] I have updated relevant documentation to reflect my changes — N/A
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-03 18:34:48 -07:00
|
|
|
if (bridgeDebugEnabled) {
|
|
|
|
|
await onLog(
|
|
|
|
|
"stdout",
|
|
|
|
|
`[paperclip] Bridge proxy response ${response.status} for ${method} ${request.path}${request.query ? `?${request.query}` : ""}\n`,
|
|
|
|
|
);
|
|
|
|
|
}
|
Add sandbox callback bridge for remote environment API access (#4801)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents can run inside sandboxed environments like E2B, which are
isolated from the host network
> - Sandboxed agents need to call back to the Paperclip API to report
progress, post comments, and update issue status
> - But sandbox environments cannot reach the Paperclip server directly
because they run in isolated network namespaces
> - This PR adds a callback bridge that proxies API requests from the
sandbox to the Paperclip server, running as a local HTTP server on the
host that forwards authenticated requests
> - The bridge is started automatically when an adapter launches a
sandbox execution, and torn down when the run completes
> - The benefit is sandboxed agents can interact with the Paperclip API
without requiring network-level access to the host, enabling E2B and
similar providers to work end-to-end
## What Changed
- Added `sandbox-callback-bridge.ts` in `packages/adapter-utils/` — a
lightweight HTTP bridge server that accepts requests from sandbox
environments and proxies them to the Paperclip API with authentication
- Added request validation and security policy: the bridge only forwards
requests to the configured API URL, validates content types, enforces
size limits, and rejects non-API paths
- Wired the bridge into all remote adapter execute paths (claude, codex,
cursor, gemini, pi) — the bridge starts before the agent process and the
bridge URL is passed via environment variables
- Updated `environment-execution-target.ts` to prefer the explicit API
URL from environment lease metadata for sandbox callback routing
- Fixed Claude sandbox runtime setup to work with the bridge
configuration
- Added comprehensive test coverage for bridge request handling, policy
enforcement, and sandbox execution integration
- Fixed browser bundling — the bridge module is excluded from the
frontend bundle via the adapter-utils index export
## Verification
- `pnpm test` — all existing and new tests pass, including bridge unit
tests and sandbox execution integration tests
- `pnpm typecheck` — clean
- Manual: configure an E2B environment, run an agent task, verify the
agent can post comments and update issue status through the bridge
## Risks
- Medium. This is a new network-facing component (HTTP server on
localhost). The security policy restricts forwarding to the configured
API URL only and validates all requests, but any proxy introduces attack
surface. The bridge binds to localhost only and is scoped to the
lifetime of a single agent run.
## Model Used
Codex GPT 5.4 high via Paperclip.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-29 16:37:34 -07:00
|
|
|
return {
|
|
|
|
|
status: response.status,
|
|
|
|
|
headers: buildBridgeResponseHeaders(response),
|
|
|
|
|
body: await readBridgeForwardResponseBody(response, maxBodyBytes),
|
|
|
|
|
};
|
|
|
|
|
},
|
|
|
|
|
});
|
|
|
|
|
server = await startSandboxCallbackBridgeServer({
|
Migrate SSH environment callback to bridge (#5116)
> **Stacked PR (part 3 of 7).** Depends on:
- PR #5114
- PR #5115
> Diff against `master` includes commits from earlier PRs in the stack —
the new commit in this PR is the topmost one.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents executing on a remote SSH-backed environment need a way to
call back into
> the Paperclip control plane (run events, log streaming, signals)
> - When the SSH host can't reach the Paperclip host (NAT, firewalls, or
simply not
> on the same network), the run silently fails or hangs — a recurring
class of
> failure during SSH testing
> - In sandboxed environments we already solved this with a callback
bridge that
> tunnels back through the existing connection; SSH was the odd one out
> - This PR migrates SSH execution to use the same callback bridge, so
every
> adapter's remote run uses one consistent reverse-channel. Per-adapter
SSH glue
> is deleted in favour of a shared `CommandManagedRuntimeRunner` built
from the
> SSH spec
> - The benefit is fewer SSH-specific failure modes, a smaller code
surface, and
> one place to evolve the callback contract going forward
## What Changed
- Added `createSshCommandManagedRuntimeRunner` in
`packages/adapter-utils/src/ssh.ts` that adapts an SSH spec into a
generic
command-managed-runtime runner (with cwd, env, and timeout handling)
- Removed `paperclipApiUrl` from `SshRemoteExecutionSpec`; the bridge
URL now flows
through the shared runner
- Reworked `execution-target.ts` to use the SSH runner alongside sandbox
runners
via a unified `CommandManagedRuntimeRunner` interface
- Simplified `remote-managed-runtime.ts` and
`sandbox-managed-runtime.ts` to consume
the shared runner abstraction
- Deleted per-adapter SSH callback wiring from claude-local,
codex-local,
cursor-local, gemini-local, opencode-local, pi-local execute.ts files
- Removed `environment-runtime-driver-contract.test.ts` (the contract is
now
enforced by `environment-execution-target.test.ts`)
- Added/updated `execute.remote.test.ts` cases for each adapter to cover
the SSH
runner path
## Verification
- `pnpm --filter @paperclipai/adapter-utils test`
- `pnpm test -- execute.remote` (covers all six local adapters' SSH
paths)
- Manual QA: ran a claude-local agent against an SSH-backed environment,
confirmed
the agent successfully called back to `/api/agent-callback/*` endpoints
during
the run
## Risks
- Refactor touches all six local adapters. If any adapter had subtle
SSH-specific
behaviour that wasn't captured in tests, it could regress. Mitigation:
each
adapter's `execute.remote.test.ts` was extended.
- `paperclipApiUrl` removal from `SshRemoteExecutionSpec` is a breaking
type change
for any internal consumer. Verified no external plugins consume this
type.
- The new `CommandManagedRuntimeRunner` shape is a public surface in
`@paperclipai/adapter-utils`; downstream plugins implementing custom
runners may
need updates, but no such plugins exist in this repo.
## Model Used
- OpenAI GPT-5.4 (reasoning effort: high) via Codex CLI
- Provider: OpenAI
- Used to author the code changes in this PR
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots — N/A
- [ ] I have updated relevant documentation to reflect my changes — N/A
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-03 12:43:52 -07:00
|
|
|
runner,
|
Add sandbox callback bridge for remote environment API access (#4801)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents can run inside sandboxed environments like E2B, which are
isolated from the host network
> - Sandboxed agents need to call back to the Paperclip API to report
progress, post comments, and update issue status
> - But sandbox environments cannot reach the Paperclip server directly
because they run in isolated network namespaces
> - This PR adds a callback bridge that proxies API requests from the
sandbox to the Paperclip server, running as a local HTTP server on the
host that forwards authenticated requests
> - The bridge is started automatically when an adapter launches a
sandbox execution, and torn down when the run completes
> - The benefit is sandboxed agents can interact with the Paperclip API
without requiring network-level access to the host, enabling E2B and
similar providers to work end-to-end
## What Changed
- Added `sandbox-callback-bridge.ts` in `packages/adapter-utils/` — a
lightweight HTTP bridge server that accepts requests from sandbox
environments and proxies them to the Paperclip API with authentication
- Added request validation and security policy: the bridge only forwards
requests to the configured API URL, validates content types, enforces
size limits, and rejects non-API paths
- Wired the bridge into all remote adapter execute paths (claude, codex,
cursor, gemini, pi) — the bridge starts before the agent process and the
bridge URL is passed via environment variables
- Updated `environment-execution-target.ts` to prefer the explicit API
URL from environment lease metadata for sandbox callback routing
- Fixed Claude sandbox runtime setup to work with the bridge
configuration
- Added comprehensive test coverage for bridge request handling, policy
enforcement, and sandbox execution integration
- Fixed browser bundling — the bridge module is excluded from the
frontend bundle via the adapter-utils index export
## Verification
- `pnpm test` — all existing and new tests pass, including bridge unit
tests and sandbox execution integration tests
- `pnpm typecheck` — clean
- Manual: configure an E2B environment, run an agent task, verify the
agent can post comments and update issue status through the bridge
## Risks
- Medium. This is a new network-facing component (HTTP server on
localhost). The security policy restricts forwarding to the configured
API URL only and validates all requests, but any proxy introduces attack
surface. The bridge binds to localhost only and is scoped to the
lifetime of a single agent run.
## Model Used
Codex GPT 5.4 high via Paperclip.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-29 16:37:34 -07:00
|
|
|
remoteCwd: target.remoteCwd,
|
|
|
|
|
assetRemoteDir,
|
|
|
|
|
queueDir,
|
|
|
|
|
bridgeToken,
|
|
|
|
|
bridgeAsset,
|
Migrate SSH environment callback to bridge (#5116)
> **Stacked PR (part 3 of 7).** Depends on:
- PR #5114
- PR #5115
> Diff against `master` includes commits from earlier PRs in the stack —
the new commit in this PR is the topmost one.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents executing on a remote SSH-backed environment need a way to
call back into
> the Paperclip control plane (run events, log streaming, signals)
> - When the SSH host can't reach the Paperclip host (NAT, firewalls, or
simply not
> on the same network), the run silently fails or hangs — a recurring
class of
> failure during SSH testing
> - In sandboxed environments we already solved this with a callback
bridge that
> tunnels back through the existing connection; SSH was the odd one out
> - This PR migrates SSH execution to use the same callback bridge, so
every
> adapter's remote run uses one consistent reverse-channel. Per-adapter
SSH glue
> is deleted in favour of a shared `CommandManagedRuntimeRunner` built
from the
> SSH spec
> - The benefit is fewer SSH-specific failure modes, a smaller code
surface, and
> one place to evolve the callback contract going forward
## What Changed
- Added `createSshCommandManagedRuntimeRunner` in
`packages/adapter-utils/src/ssh.ts` that adapts an SSH spec into a
generic
command-managed-runtime runner (with cwd, env, and timeout handling)
- Removed `paperclipApiUrl` from `SshRemoteExecutionSpec`; the bridge
URL now flows
through the shared runner
- Reworked `execution-target.ts` to use the SSH runner alongside sandbox
runners
via a unified `CommandManagedRuntimeRunner` interface
- Simplified `remote-managed-runtime.ts` and
`sandbox-managed-runtime.ts` to consume
the shared runner abstraction
- Deleted per-adapter SSH callback wiring from claude-local,
codex-local,
cursor-local, gemini-local, opencode-local, pi-local execute.ts files
- Removed `environment-runtime-driver-contract.test.ts` (the contract is
now
enforced by `environment-execution-target.test.ts`)
- Added/updated `execute.remote.test.ts` cases for each adapter to cover
the SSH
runner path
## Verification
- `pnpm --filter @paperclipai/adapter-utils test`
- `pnpm test -- execute.remote` (covers all six local adapters' SSH
paths)
- Manual QA: ran a claude-local agent against an SSH-backed environment,
confirmed
the agent successfully called back to `/api/agent-callback/*` endpoints
during
the run
## Risks
- Refactor touches all six local adapters. If any adapter had subtle
SSH-specific
behaviour that wasn't captured in tests, it could regress. Mitigation:
each
adapter's `execute.remote.test.ts` was extended.
- `paperclipApiUrl` removal from `SshRemoteExecutionSpec` is a breaking
type change
for any internal consumer. Verified no external plugins consume this
type.
- The new `CommandManagedRuntimeRunner` shape is a public surface in
`@paperclipai/adapter-utils`; downstream plugins implementing custom
runners may
need updates, but no such plugins exist in this repo.
## Model Used
- OpenAI GPT-5.4 (reasoning effort: high) via Codex CLI
- Provider: OpenAI
- Used to author the code changes in this PR
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots — N/A
- [ ] I have updated relevant documentation to reflect my changes — N/A
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-03 12:43:52 -07:00
|
|
|
timeoutMs: adapterExecutionTargetTimeoutMs(target),
|
Add sandbox callback bridge for remote environment API access (#4801)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents can run inside sandboxed environments like E2B, which are
isolated from the host network
> - Sandboxed agents need to call back to the Paperclip API to report
progress, post comments, and update issue status
> - But sandbox environments cannot reach the Paperclip server directly
because they run in isolated network namespaces
> - This PR adds a callback bridge that proxies API requests from the
sandbox to the Paperclip server, running as a local HTTP server on the
host that forwards authenticated requests
> - The bridge is started automatically when an adapter launches a
sandbox execution, and torn down when the run completes
> - The benefit is sandboxed agents can interact with the Paperclip API
without requiring network-level access to the host, enabling E2B and
similar providers to work end-to-end
## What Changed
- Added `sandbox-callback-bridge.ts` in `packages/adapter-utils/` — a
lightweight HTTP bridge server that accepts requests from sandbox
environments and proxies them to the Paperclip API with authentication
- Added request validation and security policy: the bridge only forwards
requests to the configured API URL, validates content types, enforces
size limits, and rejects non-API paths
- Wired the bridge into all remote adapter execute paths (claude, codex,
cursor, gemini, pi) — the bridge starts before the agent process and the
bridge URL is passed via environment variables
- Updated `environment-execution-target.ts` to prefer the explicit API
URL from environment lease metadata for sandbox callback routing
- Fixed Claude sandbox runtime setup to work with the bridge
configuration
- Added comprehensive test coverage for bridge request handling, policy
enforcement, and sandbox execution integration
- Fixed browser bundling — the bridge module is excluded from the
frontend bundle via the adapter-utils index export
## Verification
- `pnpm test` — all existing and new tests pass, including bridge unit
tests and sandbox execution integration tests
- `pnpm typecheck` — clean
- Manual: configure an E2B environment, run an agent task, verify the
agent can post comments and update issue status through the bridge
## Risks
- Medium. This is a new network-facing component (HTTP server on
localhost). The security policy restricts forwarding to the configured
API URL only and validates all requests, but any proxy introduces attack
surface. The bridge binds to localhost only and is scoped to the
lifetime of a single agent run.
## Model Used
Codex GPT 5.4 high via Paperclip.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-29 16:37:34 -07:00
|
|
|
maxBodyBytes,
|
Migrate SSH environment callback to bridge (#5116)
> **Stacked PR (part 3 of 7).** Depends on:
- PR #5114
- PR #5115
> Diff against `master` includes commits from earlier PRs in the stack —
the new commit in this PR is the topmost one.
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents executing on a remote SSH-backed environment need a way to
call back into
> the Paperclip control plane (run events, log streaming, signals)
> - When the SSH host can't reach the Paperclip host (NAT, firewalls, or
simply not
> on the same network), the run silently fails or hangs — a recurring
class of
> failure during SSH testing
> - In sandboxed environments we already solved this with a callback
bridge that
> tunnels back through the existing connection; SSH was the odd one out
> - This PR migrates SSH execution to use the same callback bridge, so
every
> adapter's remote run uses one consistent reverse-channel. Per-adapter
SSH glue
> is deleted in favour of a shared `CommandManagedRuntimeRunner` built
from the
> SSH spec
> - The benefit is fewer SSH-specific failure modes, a smaller code
surface, and
> one place to evolve the callback contract going forward
## What Changed
- Added `createSshCommandManagedRuntimeRunner` in
`packages/adapter-utils/src/ssh.ts` that adapts an SSH spec into a
generic
command-managed-runtime runner (with cwd, env, and timeout handling)
- Removed `paperclipApiUrl` from `SshRemoteExecutionSpec`; the bridge
URL now flows
through the shared runner
- Reworked `execution-target.ts` to use the SSH runner alongside sandbox
runners
via a unified `CommandManagedRuntimeRunner` interface
- Simplified `remote-managed-runtime.ts` and
`sandbox-managed-runtime.ts` to consume
the shared runner abstraction
- Deleted per-adapter SSH callback wiring from claude-local,
codex-local,
cursor-local, gemini-local, opencode-local, pi-local execute.ts files
- Removed `environment-runtime-driver-contract.test.ts` (the contract is
now
enforced by `environment-execution-target.test.ts`)
- Added/updated `execute.remote.test.ts` cases for each adapter to cover
the SSH
runner path
## Verification
- `pnpm --filter @paperclipai/adapter-utils test`
- `pnpm test -- execute.remote` (covers all six local adapters' SSH
paths)
- Manual QA: ran a claude-local agent against an SSH-backed environment,
confirmed
the agent successfully called back to `/api/agent-callback/*` endpoints
during
the run
## Risks
- Refactor touches all six local adapters. If any adapter had subtle
SSH-specific
behaviour that wasn't captured in tests, it could regress. Mitigation:
each
adapter's `execute.remote.test.ts` was extended.
- `paperclipApiUrl` removal from `SshRemoteExecutionSpec` is a breaking
type change
for any internal consumer. Verified no external plugins consume this
type.
- The new `CommandManagedRuntimeRunner` shape is a public surface in
`@paperclipai/adapter-utils`; downstream plugins implementing custom
runners may
need updates, but no such plugins exist in this repo.
## Model Used
- OpenAI GPT-5.4 (reasoning effort: high) via Codex CLI
- Provider: OpenAI
- Used to author the code changes in this PR
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots — N/A
- [ ] I have updated relevant documentation to reflect my changes — N/A
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-05-03 12:43:52 -07:00
|
|
|
shellCommand,
|
Add sandbox callback bridge for remote environment API access (#4801)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents can run inside sandboxed environments like E2B, which are
isolated from the host network
> - Sandboxed agents need to call back to the Paperclip API to report
progress, post comments, and update issue status
> - But sandbox environments cannot reach the Paperclip server directly
because they run in isolated network namespaces
> - This PR adds a callback bridge that proxies API requests from the
sandbox to the Paperclip server, running as a local HTTP server on the
host that forwards authenticated requests
> - The bridge is started automatically when an adapter launches a
sandbox execution, and torn down when the run completes
> - The benefit is sandboxed agents can interact with the Paperclip API
without requiring network-level access to the host, enabling E2B and
similar providers to work end-to-end
## What Changed
- Added `sandbox-callback-bridge.ts` in `packages/adapter-utils/` — a
lightweight HTTP bridge server that accepts requests from sandbox
environments and proxies them to the Paperclip API with authentication
- Added request validation and security policy: the bridge only forwards
requests to the configured API URL, validates content types, enforces
size limits, and rejects non-API paths
- Wired the bridge into all remote adapter execute paths (claude, codex,
cursor, gemini, pi) — the bridge starts before the agent process and the
bridge URL is passed via environment variables
- Updated `environment-execution-target.ts` to prefer the explicit API
URL from environment lease metadata for sandbox callback routing
- Fixed Claude sandbox runtime setup to work with the bridge
configuration
- Added comprehensive test coverage for bridge request handling, policy
enforcement, and sandbox execution integration
- Fixed browser bundling — the bridge module is excluded from the
frontend bundle via the adapter-utils index export
## Verification
- `pnpm test` — all existing and new tests pass, including bridge unit
tests and sandbox execution integration tests
- `pnpm typecheck` — clean
- Manual: configure an E2B environment, run an agent task, verify the
agent can post comments and update issue status through the bridge
## Risks
- Medium. This is a new network-facing component (HTTP server on
localhost). The security policy restricts forwarding to the configured
API URL only and validates all requests, but any proxy introduces attack
surface. The bridge binds to localhost only and is scoped to the
lifetime of a single agent run.
## Model Used
Codex GPT 5.4 high via Paperclip.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-04-29 16:37:34 -07:00
|
|
|
});
|
|
|
|
|
} catch (error) {
|
|
|
|
|
await Promise.allSettled([
|
|
|
|
|
server?.stop(),
|
|
|
|
|
worker?.stop(),
|
|
|
|
|
bridgeAsset.cleanup(),
|
|
|
|
|
]);
|
|
|
|
|
throw error;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
return {
|
|
|
|
|
env: {
|
|
|
|
|
PAPERCLIP_API_URL: server.baseUrl,
|
|
|
|
|
PAPERCLIP_API_KEY: bridgeToken,
|
|
|
|
|
PAPERCLIP_API_BRIDGE_MODE: "queue_v1",
|
|
|
|
|
},
|
|
|
|
|
stop: async () => {
|
|
|
|
|
await Promise.allSettled([
|
|
|
|
|
server?.stop(),
|
|
|
|
|
]);
|
|
|
|
|
await Promise.allSettled([
|
|
|
|
|
worker?.stop(),
|
|
|
|
|
bridgeAsset.cleanup(),
|
|
|
|
|
]);
|
|
|
|
|
},
|
|
|
|
|
};
|
|
|
|
|
}
|