## 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
> **Stacked PR (part 7 of 7).** Depends on:
- PR #5114
- PR #5115
- PR #5116
- PR #5117
- PR #5118
- PR #5119
> 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
> - The Pi adapter persists a session jsonl per agent so subsequent runs
resume
> conversation context instead of starting cold
> - SSH testing reproduced a real failure: a verification issue reached
terminal
> `done` and the agent claimed success, but the proof artifact
> `manual-qa/environment-matrix/ssh/pi_local.md` was missing from the
realized
> SSH workspace on the QA target box
> - Root cause: the saved session header recorded a different cwd than
the new
> execution cwd, but the resume eligibility check only compared
session-params
> cwd via local-style `path.resolve` (which doesn't roundtrip on remote
POSIX
> paths). The stale session got resumed and writes landed in the wrong
cwd
> - This PR tightens resume eligibility for remote targets: it adds
remote-aware
> cwd normalisation, reads the first line of the session jsonl over SSH
(`head
> -n 1`) to verify the saved header cwd, and only resumes when both
> session-params cwd *and* the on-disk header cwd match the realised
execution
> cwd. Stale sessions are skipped silently and the run starts cold
> - The benefit is that Pi runs across cwd-changing environments stop
> accidentally resuming each other's sessions, and proof artifacts land
where
> reviewers expect them
## What Changed
- Added `normalizeExecutionCwd`, `executionCwdsMatch`,
`readSessionHeaderCwd`,
and `readSavedSessionCwd` helpers in `pi-local/src/server/execute.ts`
- `readSavedSessionCwd` reads the first line of the session jsonl —
locally via
`fs.readFile`, remotely via `runAdapterExecutionTargetShellCommand`
(`head -n 1`)
- Resume eligibility now requires:
1. Saved session id is non-empty
2. Execution target shape matches (existing check)
3. Session-params cwd matches the realised execution cwd
4. Session-header cwd (from the on-disk jsonl) matches the realised
execution cwd
- Stale sessions are skipped silently (run starts cold) instead of
resumed
- `execute.remote.test.ts` extended with: matching header → resume;
mismatched
header → start fresh; missing/unreadable header → start fresh; remote
head
command failure → start fresh
## Verification
- `pnpm --filter @paperclipai/adapter-pi-local test`
- `pnpm test -- pi-local`
- Manual QA: ran a Pi agent twice in two different remote cwds,
confirmed
the second run did not pick up the first run's session and that
subsequent
runs in the original cwd still resumed correctly
## Risks
- Adds a `head -n 1` shell call per Pi run on remote targets. Negligible
latency (single read of session jsonl), bounded by 15s timeout.
- If the `head` call fails for unrelated reasons (transient remote
unreachability), the run will start cold instead of resuming. This is
the
safe default but worth noting — operators may see one extra cold run if
a
remote glitches mid-session.
- No data is deleted or migrated; stale sessions remain on disk for
manual
inspection if desired.
## 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
> **Stacked PR (part 5 of 7).** Depends on:
- PR #5114
- PR #5115
- PR #5116
- PR #5117
> 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 run with a Paperclip-shaped environment
(`PAPERCLIP_WORKSPACE_CWD`,
> worktree path, `PAPERCLIP_WORKSPACES_JSON` hints) so the CLI can
locate the
> correct project tree
> - SSH testing reproduced a real failure: a Codex SSH run wrote to
> `/tmp/paperclip-env-matrix-...` (the *host* path) instead of the
realized
> remote workspace at `/home/<user>/paperclip-env-matrix-ssh-claude/...`
> because the adapter injected `PAPERCLIP_WORKSPACE_CWD=/tmp/...` into
the
> remote env
> - Code review on the initial codex-only fix asked to roll the same
approach
> into every other SSH-capable adapter (claude, acpx, cursor, opencode,
gemini,
> pi) via a shared helper rather than duplicating per-adapter
> - This PR adds `shapePaperclipWorkspaceEnvForExecution` in
adapter-utils that,
> when the execution target is remote: replaces local cwd with the
realized
> execution cwd, nulls out worktree path (which has no remote meaning),
and
> rewrites/strips `cwd` entries in workspace hints based on what was
actually
> synced. Every adapter calls it before invoking the remote runner
> - The benefit is that remote runs see the realized remote workspace,
host-local
> paths stop leaking into remote env, and the rule is unit-tested in one
place
## What Changed
- Added `shapePaperclipWorkspaceEnvForExecution` to
`packages/adapter-utils/src/server-utils.ts` with full unit coverage
(`server-utils.test.ts`)
- Each of acpx-local, claude-local, codex-local, cursor-local,
gemini-local,
opencode-local, pi-local now calls the new shaper before issuing the
remote
command and feeds the shaped values into `applyPaperclipWorkspaceEnv`
- Per-adapter `execute.remote.test.ts` files extended to cover the new
shaping
behaviour: localhost paths replaced with remote cwd, foreign-cwd hints
stripped, worktree path nulled out for remote targets
- `acpx-local/src/server/execute.test.ts` extended with shaping coverage
## Verification
- `pnpm test -- server-utils execute.remote`
- `pnpm --filter @paperclipai/adapter-acpx-local test`
- Manual QA reproducing the original failure:
1. Provision an E2B sandbox environment for the Paperclip QA company
2. Assign an issue to a remote-targeted claude-local agent and confirm
the
run starts in the correct remote cwd (no `/Users/...` path leakage in
the
run logs)
3. Repeat for opencode-local and pi-local
## Risks
- Behavioural shift: hints whose `cwd` doesn't match the workspace cwd
are now
stripped on remote targets. If any adapter relied on a leaked local hint
cwd,
it will see a missing `cwd` instead. Reviewed all current callers — none
do.
- Adds a small per-run cost (path resolve + string normalisation) on
every remote
execution. Negligible.
- Worktree path is now nulled out on remote (it has no meaning there).
Adapters
that previously read the value defensively will continue to work.
## 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
> **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
## Thinking Path
> - Paperclip is a control plane for autonomous AI companies, where
adapters are the boundary between the board, agents, and execution
runtimes.
> - Local adapters currently expose a primary runtime configuration, but
operators often need a cheaper model lane for routine or low-risk work.
> - That cheap lane has to stay adapter-owned: runtime profile settings
should not mutate the primary adapter config or bypass existing
auth/secret mediation.
> - Issue creation also needs an ergonomic way to request primary,
cheap, or custom model behavior for a selected assignee.
> - This pull request adds a first-class `cheap` model profile contract
across adapter capabilities, heartbeat config resolution, agent
configuration, and issue creation.
> - The benefit is cheaper task execution can be configured and
requested explicitly while preserving adapter boundaries, secret
handling, and audit visibility.
## What Changed
- Added adapter model-profile capability metadata and a `cheap` profile
contract for supported local adapters.
- Applied `runtimeConfig.modelProfiles.cheap.adapterConfig` during
heartbeat config resolution, including requested/applied/fallback run
metadata.
- Added agent configuration UI for cheap model profile settings without
writing those settings into primary `adapterConfig`.
- Added New Issue assignee model lane controls for Primary / Cheap /
Custom and request payload handling.
- Added run ledger profile badges and Storybook stories for the new
cheap-lane UI states.
- Added tests for validators, heartbeat model profile application,
permission/secret mediation, UI payload helpers, and run ledger
rendering.
- Added committed UI verification screenshots under
`docs/pr-screenshots/pap-2837/`.
- Addressed Greptile review feedback around cheap-profile defaults,
shared profile types, and fallback test data.
## Verification
Local:
- `pnpm exec vitest run packages/shared/src/validators/issue.test.ts
server/src/__tests__/adapter-registry.test.ts
server/src/__tests__/agent-permissions-routes.test.ts
server/src/__tests__/heartbeat-model-profile.test.ts
ui/src/components/IssueRunLedger.test.tsx
ui/src/lib/agent-config-patch.test.ts
ui/src/lib/issue-assignee-overrides.test.ts
ui/src/lib/new-agent-runtime-config.test.ts` — passed, 8 files / 103
tests.
- `pnpm exec vitest run ui/src/lib/new-agent-runtime-config.test.ts
ui/src/components/IssueRunLedger.test.tsx` — passed after
Greptile/rebase follow-up, 2 files / 17 tests.
- `pnpm --filter @paperclipai/ui typecheck` — passed after
Greptile/rebase follow-up.
- `pnpm -r typecheck` — passed.
- `pnpm build` — passed.
- `pnpm test:run` — did not complete successfully in this local
worktree: it stopped in pre-existing `@paperclipai/adapter-utils`
sandbox/SSH fixture suites outside this PR diff. Failures were 5s local
timeouts plus `git init -b` unsupported by this machine's Git 2.21.0.
The branch-specific targeted suites above passed.
- Branch was fetched/rebased onto `public-gh/master`; `git rev-list
--left-right --count public-gh/master...HEAD` reports `0 9`.
Remote PR checks on latest head
`e30bf399146451c86cee98ed528d51d33fa5af5a`:
- `policy` — passed.
- `verify` — passed.
- `e2e` — passed.
- `Greptile Review` — passed, confidence score 5/5; Greptile review
threads resolved.
- `security/snyk (cryppadotta)` — passed.
Screenshots:
- [New issue cheap lane
desktop](https://github.com/paperclipai/paperclip/blob/PAP-2837-plan-cheap-model-for-adapters-that-can-support-it/docs/pr-screenshots/pap-2837/newissue-cheap-desktop.png)
- [New issue custom lane
desktop](https://github.com/paperclipai/paperclip/blob/PAP-2837-plan-cheap-model-for-adapters-that-can-support-it/docs/pr-screenshots/pap-2837/newissue-custom-desktop.png)
- [New issue unsupported adapter
desktop](https://github.com/paperclipai/paperclip/blob/PAP-2837-plan-cheap-model-for-adapters-that-can-support-it/docs/pr-screenshots/pap-2837/newissue-unsupported-desktop.png)
- [Run ledger model profile badges
desktop](https://github.com/paperclipai/paperclip/blob/PAP-2837-plan-cheap-model-for-adapters-that-can-support-it/docs/pr-screenshots/pap-2837/runledger-profile-badges-desktop.png)
- Mobile variants are also in `docs/pr-screenshots/pap-2837/`.
## Risks
- Medium: heartbeat config mediation now merges runtime model profiles
into adapter configs, so adapter secret normalization and host-command
restrictions must keep covering nested config paths.
- Medium: the UI adds another issue creation choice; unsupported
adapters must keep hiding the cheap lane and preserve primary behavior.
- Low migration risk: no database migration is included.
> 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 coding agent using GPT-5-class reasoning with repo tool use
and command execution. Exact served model/context window 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 Opus 4.7 <noreply@anthropic.com>
## Thinking Path
> - Paperclip's board UI and bundled skills are the operator layer for
configuring agents, routines, issue workflows, and local troubleshooting
loops.
> - The prior rollup mixed this operator polish with database backups,
backend reliability, thread scale, and cost/workflow primitives.
> - This pull request isolates the remaining board QoL, settings,
issue-detail integration, adapter config cleanup, and skills smoke
tooling.
> - It includes some integration-level overlap with the thread and
workflow slices so this branch can run from `origin/master` while still
preserving the full original work.
> - Preferred merge order is the narrower primitives first, then this
integration PR last.
> - The benefit is that reviewers can inspect the user-facing
board/settings/skills layer separately from backend infrastructure
changes.
## What Changed
- Added board/settings polish for agents, routines, company settings,
project workspace detail, and issue detail controls.
- Added agent/routine UI regression tests and New Issue dialog coverage.
- Integrated issue-detail activity/cost/interaction surfaces and leaf
work pause/resume controls.
- Cleaned bundled adapter UI config defaults and onboarding copy.
- Added terminal-bench loop and work-stoppage diagnosis skills plus a
smoke test script.
- Updated attachment type handling and Paperclip skill/API guidance.
## Verification
- `pnpm install --frozen-lockfile`
- `pnpm exec vitest run ui/src/pages/Agents.test.tsx
ui/src/pages/Routines.test.tsx ui/src/components/NewIssueDialog.test.tsx
ui/src/pages/IssueDetail.test.tsx
server/src/__tests__/costs-service.test.ts
server/src/__tests__/issue-thread-interaction-routes.test.ts
server/src/__tests__/issue-thread-interactions-service.test.ts`
- Result: 7 test files passed, 54 tests passed.
- `pnpm run smoke:terminal-bench-loop-skill`
- Result: JSON output included `"ok": true` and `"cleanup": true`.
- UI screenshots not included because verification is focused
component/page coverage for the changed board surfaces.
## Risks
- This is the integration-heavy PR in the split and intentionally
overlaps some component/API primitives with the issue-thread and
workflow PRs so it can run from `origin/master`.
- Preferred merge order: #4859, #4860, #4861, #4862, then this PR last.
If earlier branches merge first, this PR may need a straightforward
conflict refresh in shared UI files.
- The terminal-bench smoke script creates temporary mock issues and
relies on cleanup; the verified run returned `cleanup: true`.
> 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-5.5, code execution and GitHub CLI tool use, medium
reasoning effort.
## 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
---------
Co-authored-by: Paperclip <noreply@paperclip.ing>
## 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
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents can run inside sandboxed environments like E2B, or on remote
hosts via SSH
> - The cursor adapter needs to resolve `cursor-agent` inside sandbox
environments where it's installed in `~/.local/bin`
> - But when using the default `agent` command on a sandbox target, the
adapter didn't know to look in `~/.local/bin/cursor-agent`, causing
"command not found" failures
> - Additionally, repeated SSH runs failed because `git checkout` during
workspace sync conflicted with leftover `.paperclip-runtime` files from
previous runs
> - This PR adds sandbox-aware command resolution for cursor and fixes
the SSH workspace sync conflict
> - The benefit is cursor works in E2B sandboxes out of the box, and
repeated SSH runs don't fail on workspace sync
## What Changed
- `cursor-local`: Added `prepareCursorSandboxCommand` — on sandbox
targets, reads the remote `$HOME`, prepends `~/.local/bin` to PATH, and
prefers `~/.local/bin/cursor-agent` when the default command is
requested; tightened the sandbox command probe to validate the binary
exists before launching; preserves explicit custom command overrides
- `adapter-utils/ssh.ts`: Added `--force` to git checkout in SSH
workspace sync to handle `.paperclip-runtime` untracked file conflicts
from previous runs
## Verification
- `pnpm test` — all existing and new tests pass, including cursor
sandbox probe, sandbox execution, and custom command override tests
- `pnpm typecheck` — clean
- Manual: configure an E2B environment, run a cursor-local task, verify
it resolves cursor-agent from the sandbox install path
## Risks
- Low-medium. The `--force` flag on git checkout could discard
uncommitted changes in the remote workspace, but the workspace is
managed by Paperclip and should not contain user edits.
## 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
## 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
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - The local adapter layer is responsible for turning Paperclip runtime
context into the environment seen by the child agent process.
> - The CEO onboarding bundle tells the agent where to read and write
its persistent memory and fact files.
> - That bundle was using `./memory/...` and `./life/...`, which only
works when the process cwd happens to equal the agent home directory.
> - At the same time, six local adapters each duplicated the same
workspace-env propagation logic, including `AGENT_HOME`, which makes
this contract easy to drift.
> - This pull request fixes the CEO instructions to use
`$AGENT_HOME/...` and centralizes workspace-env propagation in one
shared helper with shared tests.
> - The benefit is a real bug fix for agent memory paths plus a single
tested contract that makes future built-in adapter work less likely to
forget `AGENT_HOME`.
## What Changed
- Updated `server/src/onboarding-assets/ceo/HEARTBEAT.md` to use
`$AGENT_HOME/memory/...` and `$AGENT_HOME/life/...` instead of
cwd-relative `./memory/...` and `./life/...`.
- Added `applyPaperclipWorkspaceEnv(...)` in
`packages/adapter-utils/src/server-utils.ts` to centralize
`PAPERCLIP_WORKSPACE_*` and `AGENT_HOME` propagation.
- Added shared helper coverage in
`packages/adapter-utils/src/server-utils.test.ts` for both populated and
skip-empty cases.
- Switched the built-in local adapters (`claude_local`, `codex_local`,
`cursor_local`, `gemini_local`, `opencode_local`, `pi_local`) over to
the shared helper instead of inline env assignment blocks.
## Verification
- `pnpm install`
- `pnpm exec vitest run packages/adapter-utils/src/server-utils.test.ts
packages/adapters/claude-local/src/server/execute.remote.test.ts
packages/adapters/codex-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`
- Result: 7 test files passed, 31 tests passed, 0 failures.
## Risks
- Low risk.
- The only behavioral surface is the shared env propagation refactor
across six adapters; if the helper diverged from prior semantics, an
adapter could miss a workspace env var.
- The shared helper test plus the affected adapter execute tests reduce
that risk, and the helper preserves the prior "set only non-empty
strings" behavior.
## Model Used
- OpenAI Codex via Paperclip `codex_local` agent runtime; tool-assisted
coding workflow with shell execution, file patching, git operations, and
API interaction. The exact backend model identifier and context window
are not surfaced by this local 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
- [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
## 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
## Thinking Path
> - Paperclip orchestrates AI agents; each agent runs under an adapter
that spawns a model CLI as a child process.
> - The pi-local adapter (`packages/adapters/pi-local`) spawns `pi` and
inherits the child's shell environment — including `PATH`, which
determines what the child's bash tool can execute by name.
> - Paperclip skills ship executable helpers under `<skill>/bin/` (e.g.
`paperclip-get-issue`) and Reviewer/QA-style `AGENTS.md` files invoke
them by name via the agent's bash tool.
> - Pi-local builds its runtime env with `ensurePathInEnv({
...process.env, ...env })` only — it never adds the installed skills'
`bin/` dirs to PATH. The pi CLI's `--skill` arg loads each skill's
SKILL.md but does not augment PATH.
> - Consequence: every bash invocation of a skill helper fails with
`exit 127: command not found`. The agent then spends its heartbeat
guessing (re-reading SKILL.md, trying `find`, inventing command paths)
and either times out or gives up.
> - This PR prepends each injected skill's `bin/` directory to the child
PATH immediately before runtimeEnv is constructed.
> - The benefit: pi_local agents whose AGENTS.md uses any `paperclip-*`
skill helper can actually run those helpers.
## What Changed
- `packages/adapters/pi-local/src/server/execute.ts`: compute
`skillBinDirs` from the already-resolved `piSkillEntries`, dedupe
against the existing PATH, prepend them to whichever of `PATH` / `Path`
the merged env uses, then build `runtimeEnv`. No new helpers, no
adapter-utils changes.
## Verification
Manual repro before the fix:
1. Create a pi_local agent wired to a paperclip skill (e.g.
paperclip-control).
2. Wake the agent on an in_review issue with an AGENTS.md that starts
with `paperclip-get-issue "$PAPERCLIP_TASK_ID"`.
3. Session file: `{ "role": "toolResult", "isError": true, "content": [{
"text": "/bin/bash: paperclip-get-issue: command not found\n\nCommand
exited with code 127" }] }`.
After the fix: same wake; `paperclip-get-issue` resolves and returns the
issue JSON; agent proceeds.
Local commands:
```
pnpm --filter @paperclipai/adapter-pi-local typecheck # clean
pnpm --filter @paperclipai/adapter-pi-local build # clean
pnpm --filter @paperclipai/server exec vitest run \
src/__tests__/pi-local-execute.test.ts \
src/__tests__/pi-local-adapter-environment.test.ts \
src/__tests__/pi-local-skill-sync.test.ts
# 5/5 passing
```
No new tests: the existing `pi-local-skill-sync.test.ts` covers skill
symlink injection (upstream of the PATH step), and
`pi-local-execute.test.ts` covers the spawn path; this change only
augments env on the same spawn path.
## Risks
Low. Pure PATH augmentation on the child env. Edge cases:
- Zero skills installed → no PATH change (guarded by
`skillBinDirs.length > 0`).
- Duplicate bin dirs already on PATH → deduped; no pollution on re-runs.
- Windows `Path` casing → falls back correctly when merged env uses
`Path` instead of `PATH`.
- Skill dir without `bin/` subdir → joined path simply won't resolve;
harmless.
No behavioral change for pi_local agents that don't use skill-provided
commands.
## Model Used
- Claude, `claude-opus-4-7` (1M context), extended thinking enabled,
tool use enabled. Walked pi-local/cursor-local/claude-local and
adapter-utils to isolate the gap, wrote the inlined fix, and ran
typecheck/build/test locally.
## Checklist
- [x] Thinking path from project context to this change
- [x] Model used specified
- [x] Checked ROADMAP.md — no overlap
- [x] Tests run locally, passing
- [x] Tests added — new case in
`server/src/__tests__/pi-local-execute.test.ts`; verified it fails when
the fix is reverted
- [ ] UI screenshots — N/A (backend adapter change)
- [x] Docs updated — N/A (internal adapter, no user-facing docs)
- [x] Risks documented
- [x] Will address reviewer comments before merge
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies.
> - Heartbeat runs are the control-plane record of each agent execution
window.
> - Long-running local agents can exhaust context or stop while still
holding useful next-step state.
> - Operators need that stop reason, next action, and continuation path
to be durable and visible.
> - This pull request adds run liveness metadata, continuation
summaries, and UI surfaces for issue run ledgers.
> - The benefit is that interrupted or long-running work can resume with
clearer context instead of losing the agent's last useful handoff.
## What Changed
- Added heartbeat-run liveness fields, continuation attempt tracking,
and an idempotent `0058` migration.
- Added server services and tests for run liveness, continuation
summaries, stop metadata, and activity backfill.
- Wired local and HTTP adapters to surface continuation/liveness context
through shared adapter utilities.
- Added shared constants, validators, and heartbeat types for liveness
continuation state.
- Added issue-detail UI surfaces for continuation handoffs and the run
ledger, with component tests.
- Updated agent runtime docs, heartbeat protocol docs, prompt guidance,
onboarding assets, and skills instructions to explain continuation
behavior.
- Addressed Greptile feedback by scoping document evidence by run,
excluding system continuation-summary documents from liveness evidence,
importing shared liveness types, surfacing hidden ledger run counts,
documenting bounded retry behavior, and moving run-ledger liveness
backfill off the request path.
## Verification
- `pnpm exec vitest run packages/adapter-utils/src/server-utils.test.ts
server/src/__tests__/run-continuations.test.ts
server/src/__tests__/run-liveness.test.ts
server/src/__tests__/activity-service.test.ts
server/src/__tests__/documents-service.test.ts
server/src/__tests__/issue-continuation-summary.test.ts
server/src/services/heartbeat-stop-metadata.test.ts
ui/src/components/IssueRunLedger.test.tsx
ui/src/components/IssueContinuationHandoff.test.tsx
ui/src/components/IssueDocumentsSection.test.tsx`
- `pnpm --filter @paperclipai/db build`
- `pnpm exec vitest run server/src/__tests__/activity-service.test.ts
ui/src/components/IssueRunLedger.test.tsx`
- `pnpm --filter @paperclipai/ui typecheck`
- `pnpm --filter @paperclipai/server typecheck`
- `pnpm exec vitest run server/src/__tests__/activity-service.test.ts
server/src/__tests__/run-continuations.test.ts
ui/src/components/IssueRunLedger.test.tsx`
- `pnpm exec vitest run
server/src/__tests__/heartbeat-process-recovery.test.ts -t "treats a
plan document update"`
- `pnpm exec vitest run server/src/__tests__/activity-service.test.ts
server/src/__tests__/heartbeat-process-recovery.test.ts -t "activity
service|treats a plan document update"`
- Remote PR checks on head `e53b1a1d`: `verify`, `e2e`, `policy`, and
Snyk all passed.
- Confirmed `public-gh/master` is an ancestor of this branch after
fetching `public-gh master`.
- Confirmed `pnpm-lock.yaml` is not included in the branch diff.
- Confirmed migration `0058_wealthy_starbolt.sql` is ordered after
`0057` and uses `IF NOT EXISTS` guards for repeat application.
- Greptile inline review threads are resolved.
## Risks
- Medium risk: this touches heartbeat execution, liveness recovery,
activity rendering, issue routes, shared contracts, docs, and UI.
- Migration risk is mitigated by additive columns/indexes and idempotent
guards.
- Run-ledger liveness backfill is now asynchronous, so the first ledger
response can briefly show historical missing liveness until the
background backfill completes.
- UI screenshot coverage is not included in this packaging pass;
validation is currently through focused component tests.
> 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-5.4, local tool-use coding agent with terminal, git,
GitHub connector, GitHub CLI, and Paperclip API access.
## 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
Screenshot note: no before/after screenshots were captured in this PR
packaging pass; the UI changes are covered by focused component tests
listed above.
---------
Co-authored-by: Paperclip <noreply@paperclip.ing>
## Thinking Path
Paperclip orchestrates AI agent runs and reports their success or
failure. The Pi adapter spawns a local Pi process and interprets its
JSONL output to determine the run outcome. When Pi hits a quota limit
(429 RESOURCE_EXHAUSTED), it retries internally and emits an
`auto_retry_end` event with `success: false` — but still exits with code
0. The current adapter trusts the exit code, so Paperclip marks the run
as succeeded even though it produced no useful work. This PR teaches the
parser to detect quota exhaustion and synthesize a failure.
Closes#2234
## Changes
- Parse `auto_retry_end` events with `success: false` into
`result.errors`
- Parse standalone `error` events into `result.errors`
- Synthesize exit code 1 when Pi exits 0 but parsed errors exist
- Use the parsed error as `errorMessage` so the failure reason is
visible in the UI
## Verification
```bash
pnpm vitest run pi-local-execute
pnpm vitest run --reporter=verbose 2>&1 | grep pi-local
```
- `parse.test.ts`: covers failed retry, successful retry (no error),
standalone error events, and empty error messages
- `pi-local-execute.test.ts`: end-to-end test with a fake Pi binary that
emits `auto_retry_end` + exits 0, asserts the run is marked failed
## Risks
- **Low**: Only affects runs where Pi exits 0 with a parsed error — no
change to normal successful or already-failing runs
- If Pi emits `auto_retry_end { success: false }` but the run actually
produced valid output, this would incorrectly mark it as failed. This
seems unlikely given the semantics of the event.
## Model Used
- Claude Opus 4.6 (Anthropic) — assisted with test additions and PR
template
## Checklist
- [x] Thinking path documented
- [x] Model specified
- [x] Tests pass locally
- [x] Test coverage for new parse branches (success path, error events,
empty messages)
- [x] No UI changes
- [x] Risk analysis included
---------
Co-authored-by: Dawid Piaskowski <dawid@MacBook-Pro.local>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Pi outputs the model list to stderr instead of stdout. This fix checks
stderr first and falls back to stdout for compatibility with older
versions.
Fixes model discovery returning empty arrays and environment tests
failing with 'Pi returned no models' error.
Loading an instructions file is normal, expected behavior — not worth
logging to stdout/stderr on every run. Warning logs for failed reads
are preserved.
Co-Authored-By: Paperclip <noreply@paperclip.ing>
Drop "api" from the trigger kind dropdown and disable the "webhook"
option with a "COMING SOON" label until it's ready.
Co-Authored-By: Paperclip <noreply@paperclip.ing>
Persist child-process metadata for local adapter runs, keep detached runs alive when their pid still exists, queue a single automatic retry when the pid is confirmed dead, and clear detached warnings when the original run reports activity again.
Co-Authored-By: Paperclip <noreply@paperclip.ing>
Pi sometimes sends tool results as a direct array [{"type":"text","text":"..."}]
rather than wrapped in {"content": [...]}. Now handles both formats to
properly extract text content instead of showing raw JSON.
Pi returns tool results in format: {"content": [{"type": "text", "text": "..."}]}
Previously we were JSON.stringify-ing the whole object, showing as:
{"content":[{"type":"text","text":"..."}]}
Now we extract the actual text content for cleaner display.
The turn_end event includes toolResults array with toolName. Previously
the parsing only included toolCallId, now we also extract toolName so
the UI can display the correct tool name even when tool_result entries
arrive without a preceding tool_call.
When tool_result entries arrive without a matching tool_call, the transcript
was showing generic 'tool' as the name. Now pl-local parses toolName from
tool_execution_end events and passes it through, so the UI can display
the actual tool name (e.g., 'bash', 'Read', 'Ls') instead of 'tool'.
- Hoist PI_AGENT_SKILLS_DIR to module-level constant to avoid duplicate path computation
- Always create ~/.pi/agent/skills directory before early return in ensurePiSkillsInjected, so the path is valid when --skill flag is passed
- Add --skill ~/.pi/agent/skills to pi CLI invocation so it loads the paperclip skill
- Enable pi_local in the AgentConfigForm adapter type dropdown (was showing as coming soon)
Expose adapter-discovered user-installed skills with provenance metadata, share persistent skill snapshot classification across local adapters, and render unmanaged skills as a read-only section in the agent skills UI.
Co-Authored-By: Paperclip <noreply@paperclip.ing>
The $AGENT_HOME environment variable was referenced by skills (e.g.
para-memory-files) but never actually set, causing runtime errors like
"/HEARTBEAT.md: No such file or directory" when agents tried to resolve
paths relative to their home directory.
Add agentHome to the paperclipWorkspace context in the heartbeat service
and propagate it as the AGENT_HOME env var in all local adapters.
Co-Authored-By: Paperclip <noreply@paperclip.ing>
