forked from farhoodlabs/paperclip
ea7f53fd7dc2a438dac45b4447fb06de238373f7
2397 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 Devin Foley
|
ea7f53fd7d |
Handle Gemini CLI v0.38 stream-json wire format across parser, UI, and CLI formatter (#5273)
## Thinking Path > - Paperclip orchestrates AI agents for zero-human companies > - Each agent uses an adapter that drives a CLI (Claude, Gemini, Codex, etc.) > - The Gemini adapter parses a JSONL transcript stream the CLI emits to learn what the model said > - Gemini CLI v0.38 changed the transcript shape: assistant text now comes through `type=message` with `role`/`content` and terminal status comes through `type=status` / `type=stats` > - The existing parser was written against the older `type=assistant` / `type=result` shape, so post-v0.38 outputs left the parsed summary empty and downgraded the SSH hello probe to "unexpected output" > - This pull request updates every Gemini consumer (server parser, UI parser, CLI formatter) to accept the v0.38 shape while keeping the legacy shape working > - The benefit is the Gemini adapter handles current upstream output without losing backward compatibility, with explicit test coverage for both shapes ## What Changed - `packages/adapters/gemini-local/src/server/parse.ts` recognizes `type=message` events with role/content and stops downgrading them - `packages/adapters/gemini-local/src/ui/parse-stdout.ts` mirrors the parser changes for the live UI transcript - `packages/adapters/gemini-local/src/cli/format-event.ts` formats the new event shape correctly for CLI output - `parse.test.ts` and `parse-stdout.test.ts` add v0.38 coverage; `gemini-local-adapter.test.ts` and `execute.remote.test.ts` switch happy-path fixtures to the current real wire format and keep dedicated tests for the older schema ## Verification - `pnpm vitest run --no-coverage --project @paperclipai/adapter-gemini-local` — full suite passes including new v0.38 cases and preserved legacy cases - `pnpm typecheck` clean ## Risks Low risk — additive event handling. Legacy event shape path is preserved with its own tests, so existing fixtures continue to parse identically. ## 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 |
||
|
Dotta
|
3c73ed26b5 |
Expand plugin host surface (#5205)
## Thinking Path > - Paperclip orchestrates AI agents for zero-human companies > - The plugin system is the extension boundary for optional product capabilities > - Rich plugins need more than a worker entrypoint: they need scoped database storage, local project folders, managed agents/routines, host navigation, and reusable UI components > - The LLM Wiki work exposed those missing host surfaces while keeping plugin code outside the core control plane > - This pull request expands the core plugin host, SDK, server APIs, and UI bridge so plugins can declare and use those surfaces > - The benefit is that future plugins can integrate with Paperclip through documented, validated contracts instead of bespoke server or UI imports ## What Changed - Added plugin-managed database namespaces and migration tracking, including Drizzle schema/migration files and SQL validation for namespace isolation. - Added server support for plugin local folders, managed agents, managed routines, scoped plugin APIs, and plugin operation visibility. - Expanded shared plugin manifest/types/validators and SDK host/testing/UI exports for richer plugin surfaces. - Added reusable UI pieces for file trees, managed routines, resizable sidebars, route sidebars, and plugin bridge initialization. - Updated plugin docs and example plugins to use the expanded host and SDK surface. ## Verification - `pnpm install --frozen-lockfile` - `pnpm run preflight:workspace-links && pnpm exec vitest run packages/shared/src/validators/plugin.test.ts server/src/__tests__/plugin-database.test.ts server/src/__tests__/plugin-local-folders.test.ts server/src/__tests__/plugin-managed-agents.test.ts server/src/__tests__/plugin-managed-routines.test.ts server/src/__tests__/plugin-orchestration-apis.test.ts ui/src/api/plugins.test.ts ui/src/components/FileTree.test.tsx ui/src/components/ResizableSidebarPane.test.tsx ui/src/pages/PluginPage.test.tsx ui/src/plugins/bridge.test.ts` passed: 11 files, 67 tests. - Confirmed this PR changes 89 files and does not include `pnpm-lock.yaml` or `.github/workflows/*`. ## Risks - Medium: this expands plugin host contracts across db/shared/server/ui and includes a new core migration (`0076_useful_elektra.sql`). - The plugin database namespace validator is intentionally restrictive; plugin authors may need follow-up affordances for SQL patterns that remain blocked. - Merge this before the LLM Wiki plugin PR so the plugin can resolve the new SDK and host APIs. > 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, tool-enabled shell/git/GitHub workflow. 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 - [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> |
||
|
Dotta
|
d6bee62f02 |
Fix Cloud tenant issue identifier routes (#5196)
## Summary - Allow Cloud tenant issue identifiers with alphanumeric prefixes, such as `PC1897-1`, to normalize as issue references. - Resolve those identifiers through issue detail/update routes, active run/live run polling, activity, costs, and `issueService.getById`. - Keep UI issue-link parsing aligned so tenant links normalize back to `/issues/<IDENTIFIER>`. ## Root Cause Cloud tenant issue prefixes include digits from the stack-id hash. The app-side route normalization still accepted only all-letter prefixes, so `/api/issues/PC1897-1` skipped identifier lookup and fell through as a non-UUID id. ## Verification - `pnpm exec vitest run packages/shared/src/issue-references.test.ts ui/src/lib/issue-reference.test.ts server/src/__tests__/issue-identifier-routes.test.ts server/src/__tests__/activity-routes.test.ts server/src/__tests__/costs-service.test.ts server/src/__tests__/agent-live-run-routes.test.ts server/src/__tests__/issues-service.test.ts` - `pnpm --filter @paperclipai/shared typecheck && pnpm --filter @paperclipai/server typecheck` - `git diff --check` Co-authored-by: Paperclip <noreply@paperclip.ing> |
||
|
Dotta
|
edbb670c3b |
Merge pull request #5154 from paperclipai/pap-3474-docker-timeout
Raise Docker image build timeout |
||
|
Dotta
|
fd10404374 |
Raise Docker image build timeout
Co-Authored-By: Paperclip <noreply@paperclip.ing> |
||
|
Devin Foley
|
47920f9c47 |
Speed up PR CI critical path (#5147)
## Thinking Path
> - Paperclip orchestrates AI agents for autonomous companies, so
developer throughput on the control plane repo directly affects how fast
the product can evolve.
> - The PR workflow is part of that throughput surface because every
change waits on it before review and merge.
> - This branch started from measured evidence that the PR critical path
was dominated by work that was either serialized unnecessarily or placed
on the wrong part of the graph.
> - The biggest concrete problems were: the canary dry run living inside
`verify`, the server isolated suites running one-by-one in a single
lane, and duplicate CI work that the PR path was paying for without
increasing coverage proportionally.
> - This pull request restructures the PR workflow so those costs are
reduced without removing the important coverage that was already
protecting release and test quality.
> - Follow-up fixes on the branch hardened the new entrypoints so they
work on clean GitHub runners and so the reduced PR typecheck path stays
self-maintaining as workspace packages evolve.
> - The benefit is materially faster PR wall-clock time while keeping
canary packaging checks, serialized-suite isolation, plugin SDK
consumers, and explicit TypeScript coverage where builds do not already
provide it.
## What Changed
- Moved the PR canary dry run into its own `Canary Dry Run` job so it
still runs on PRs but no longer extends the `verify` critical path.
- Split the custom Vitest runner into `general`, `serialized`, and `all`
modes, and added shard support for the isolated server suites.
- Added `test:run:general` and `test:run:serialized` scripts, then
rewired PR CI to fan the serialized server suites out across a 4-way
matrix.
- Added the required `@paperclipai/plugin-sdk` build preflight before
the new reduced-scope typecheck and test entrypoints so they succeed on
clean CI runners.
- Replaced the hardcoded PR build-gap list with
`scripts/run-typecheck-build-gaps.mjs`, which discovers workspace
packages whose `build` scripts skip TypeScript and runs only their
explicit `typecheck` scripts.
- Removed the redundant `pnpm build` from the PR `e2e` job because the
Playwright onboarding path boots Paperclip from source.
## Verification
- `ruby -e "require 'yaml'; YAML.load_file('.github/workflows/pr.yml');
puts 'workflow ok'"`
- `node scripts/run-vitest-stable.mjs --mode general --dry-run`
- `node scripts/run-vitest-stable.mjs --mode serialized --shard-index 0
--shard-count 4 --dry-run`
- `pnpm run typecheck:build-gaps`
- `pnpm test:run:general`
- `pnpm test:run:serialized -- --shard-index 0 --shard-count 4`
- `pnpm build`
- `pnpm paperclipai onboard --yes --run`
- `curl http://127.0.0.1:3299/api/health`
## Risks
- Branch protection or required-check configuration may need to be
updated for the new standalone `Canary Dry Run` job and the
serialized-suite matrix job names.
- `scripts/run-typecheck-build-gaps.mjs` assumes packages that need
explicit PR-time typechecking are the ones whose `build` scripts omit
`tsc`; if build conventions change, that heuristic needs to stay
aligned.
- Serialized test sharding preserves per-suite isolation, but the first
few CI runs should still be watched for shard-balance or naming
assumptions in downstream tooling.
## Model Used
- OpenAI GPT-5.4 via the Codex local adapter, using high reasoning
effort with shell, git, and file-edit tool use in a local worktree.
## 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>
|
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|
Dotta
|
e01ffc18d3 |
Merge pull request #5148 from paperclipai/pap-3474-tenant-identity-deploy
Support Cloud tenant identity bootstrap |
||
|
Dotta
|
ae23e02526 |
Support Cloud tenant identity bootstrap
Co-Authored-By: Paperclip <noreply@paperclip.ing> |
||
|
Devin Foley
|
29401b231b |
fix(ci): gate new release packages on npm bootstrap (#5146)
## Thinking Path > - Paperclip is a control plane for autonomous agent companies, so its release automation is part of the core operator trust boundary. > - The affected subsystem is npm/GitHub Actions release publishing for the public monorepo packages. > - The concrete failure was that a newly added package reached `master`, the canary workflow attempted its first publish, and npm trusted publishing was not yet bootstrapped for that package. > - That means the problem is not just one broken run; it is a missing pre-merge guard that lets release-ineligible packages land and only fail once `publish_canary` runs. > - This pull request makes release enrollment explicit, validates that enrollment in CI, and adds a PR-time bootstrap check against npm for changed release-enabled package manifests. > - The result is that we keep trusted publishing, avoid teaching CI to `npm adduser`, and move this class of failure from post-merge canary time to pre-merge review time. ## What Changed - Added `scripts/release-package-manifest.json` so release-managed public packages are explicitly enrolled instead of being inferred from every non-private workspace package. - Hardened `scripts/release-package-map.mjs` to validate the manifest before release workflows rewrite versions or assemble publish payloads. - Added `scripts/check-release-package-bootstrap.mjs` and wired it into `.github/workflows/pr.yml` so PRs that change a release-enabled package manifest fail if that package does not already exist on npm. - Added release-package manifest coverage tests to `scripts/release-package-map.test.mjs` and included them in `pnpm run test:release-registry`. - Wired manifest validation into `.github/workflows/release.yml` and documented the first-publish bootstrap policy in `doc/PUBLISHING.md` and `doc/RELEASE-AUTOMATION-SETUP.md`. ## Verification - `pnpm run test:release-registry` - `./scripts/release.sh canary --skip-verify --dry-run` - Confirmed the committed diff contains no obvious PII/secrets via targeted pattern scan before pushing. ## Risks - Low risk overall: this is CI/release-policy code, not product runtime logic. - The new PR bootstrap check depends on npm metadata availability, so a transient npm outage could block a PR that changes a release-enabled package manifest. - The manifest introduces a new source of truth that must stay aligned with public package additions, but that is intentional and now enforced. ## Model Used - OpenAI Codex via the `codex_local` Paperclip adapter; GPT-5-based coding agent with tool use, terminal execution, git, and GitHub CLI. Exact served model ID/context window are not exposed by the 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 |
||
|
Devin Foley
|
a5430f010d |
Handle Gemini assistant message events in JSONL parser (#5143)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies, including
agents
> running the Gemini CLI (`gemini-local` adapter)
> - The Gemini CLI emits a JSONL event stream during a run that the
adapter
> parses to extract the assistant's response text, tool results, and
usage
> - Recent versions of the Gemini CLI emit assistant responses as
> `{ "type": "message", "role": "assistant", "content": ... }` events in
> addition to the previously-handled event shapes
> - The parser was not handling the new event type, so the assistant's
actual
> response text was being silently dropped from parsed output. Callers
ended
> up with empty assistant messages even when Gemini had successfully
> responded
> - This PR teaches the parser to recognize `{type: "message", role:
> "assistant"}` events and extract their content text via the same
> `collectMessageText` helper used for other message-shaped events
> - The benefit is that Gemini runs surface the assistant's real
response in
> downstream consumers (issue comments, run logs, downstream agent
context)
> instead of vanishing
## What Changed
- `packages/adapters/gemini-local/src/server/parse.ts`: in
`parseGeminiJsonl(...)`, add a branch for `event.type === "message"`
with
`role === "assistant"` that calls
`messages.push(...collectMessageText(event.content))`.
- `packages/adapters/gemini-local/src/server/parse.test.ts`: ~19 lines
of
coverage for the new branch.
## Verification
- `pnpm --filter @paperclipai/adapter-gemini-local test -- parse`
- Manual QA: run a Gemini agent on an issue, confirm the assistant's
response
appears as the issue comment / run output. Before this fix the comment
was
empty even when the run completed successfully.
## Risks
- Tightly scoped: 8 lines of production code in one parser branch. No
effect
on existing event shapes or other adapters.
- If the Gemini CLI changes its event schema again, this branch may need
to be
revisited — but adding it is strictly additive over current behaviour.
## 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
|
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|
Devin Foley
|
6c090f84a9 |
Strip inherited host shell env from SSH remote execution (#5142)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies
> - Agents executing on remote SSH hosts receive an env map built from
the host
> process's env plus per-run additions like `PAPERCLIP_API_KEY`,
> `PAPERCLIP_RUN_ID`, etc.
> - The env map currently includes inherited host vars by default,
including
> identity-bound ones like `PATH`, `HOME`, `USER`, `NVM_DIR`, `XDG_*` —
> variables whose values are meaningful only on the host they came from
> - Sending the host's `PATH` (containing host-only directories like a
local
> nvm install path) to a remote SSH box overrides the remote's actual
`PATH`
> and breaks command resolution. Same hazard for `HOME` (commands
looking for
> config files end up in a non-existent dir), `USER` (writes go to the
wrong
> path), etc.
> - This PR adds `sanitizeSshRemoteEnv()` that drops inherited
identity-bound
> vars when their value matches the host process's value. Explicitly-set
> values pass through untouched, so callers that genuinely want to
override
> remote `PATH` etc. still can — but accidental leakage from
> `process.env` is filtered.
> - The benefit is that SSH remote execution stops corrupting the remote
> shell's environment with host-shaped paths, so commands resolve
correctly
> against the remote PATH and config files land in the remote `HOME`
## What Changed
- New `sanitizeSshRemoteEnv(env, inheritedEnv = process.env)` in
`packages/adapter-utils/src/server-utils.ts`. The identity-bound key set
is:
- `PATH`, `HOME`, `PWD`, `SHELL`, `USER`, `LOGNAME`
- `NVM_DIR`, `TMPDIR`, `TMP`, `TEMP`
- `XDG_CONFIG_HOME`, `XDG_CACHE_HOME`, `XDG_DATA_HOME`,
`XDG_STATE_HOME`, `XDG_RUNTIME_DIR`
For any key in this set, the entry is dropped iff the env value equals
the
inherited (host process) value. Other keys pass through unchanged.
- `readEnvValueCaseInsensitive(...)` helper handles Windows-style
case-insensitive env var lookups.
- Wired into `resolveSpawnTarget(...)` for the SSH transport. Sandbox
and local
paths are unaffected.
- Tests added in `server-utils.test.ts` (~50 lines) covering: matching
keys
filtered, mismatched keys preserved, non-identity keys passed through,
case
insensitivity.
## Verification
- `pnpm --filter @paperclipai/adapter-utils test -- server-utils`
- Manual QA: run any adapter against an SSH-backed environment, confirm
remote command resolution works (e.g. `node`, `npm`, the adapter's CLI)
and
config files land in the remote user's `HOME`. Compare to the prior
behaviour
by transiently re-introducing the inherited `PATH` and watching commands
fail with `command not found`.
## Risks
- Behavioural shift: SSH remote execution previously passed inherited
host env
vars verbatim. Code that relied on that (e.g. a remote command somehow
expecting the host's `PATH`) will see different behaviour. None of the
adapter code in this repo has such a dependency.
- Edge case: if a caller explicitly sets `PATH` to the same value as the
host's
`PATH` (literally — same exact string), the sanitizer drops it as a
leak.
In practice no caller constructs the env this way.
- Windows host: case-insensitive lookup handles `Path` vs `PATH`
correctly.
Tested.
## 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
|
||
|
Devin Foley
|
90631b09b3 |
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
|
||
|
Devin Foley
|
2dce81fbf6 |
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
|
||
|
Devin Foley
|
0e51fa2b0d |
Honor reuse-existing preference and assignee default environment in issue runs (#5139)
## Thinking Path > - Paperclip orchestrates AI agents for zero-human companies > - Agents run inside execution workspaces (a per-issue cwd + env), and an issue > can prefer to reuse an existing workspace or get a fresh one each time > - The heartbeat service was reading the existing workspace's config to derive > environment selection regardless of whether the issue actually wanted to reuse > it. So fresh-run issues were inheriting stale config from a workspace that was > about to be discarded > - Separately, when an issue is assigned to an agent, the issue's execution > workspace settings weren't picking up the agent's `defaultEnvironmentId`, > even though the agent's choice is the natural default for that issue > - This PR makes both selection paths honor the obvious source of truth: > workspace config flows only when the issue actually wants `reuse_existing`, > and the assignee agent's default environment is applied at assignment time if > nothing else is set on the issue > - The benefit is that re-running a flaky issue picks up the right environment > instead of inheriting the previous run's config, and assigning an agent to an > issue does the obvious thing without operator intervention ## What Changed - `server/src/services/heartbeat.ts`: introduce `reusableExecutionWorkspaceConfig` that is non-null only when `shouldReuseExisting` is true. Both `resolveExecutionWorkspaceEnvironmentId(...)` and `applyPersistedExecutionWorkspaceConfig(...)` now read from it instead of unconditionally consulting `existingExecutionWorkspace?.config`. Fresh-run issues no longer inherit stale environment config from an in-flight workspace about to be discarded. - `server/src/services/issues.ts`: when an issue update sets a new `assigneeAgentId` and isolated workspaces are enabled, populate `executionWorkspaceSettings.environmentId` from the assignee agent's `defaultEnvironmentId` if the issue doesn't have an explicit `environmentId` set yet. - Tests added in `heartbeat-plugin-environment.test.ts` (~216 lines) and `issues-service.test.ts` (~85 lines) covering both paths. ## Verification - `pnpm --filter @paperclipai/server test -- heartbeat-plugin-environment issues-service` - Manual QA: assign an issue to an agent that has a non-default `defaultEnvironmentId`, confirm the issue's workspace settings now include that environment id without operator intervention. Trigger a rerun on an issue whose existing workspace points at a stale environment, confirm the rerun uses the freshly-resolved environment. ## Risks - Behavioural shift on assignment: previously assigning an agent didn't propagate the agent's default environment to the issue. Now it does. Callers that explicitly want the issue to keep its existing/null environment must set `executionWorkspaceSettings.environmentId` themselves; the new logic only fires when no explicit value is set. - Behavioural shift on rerun: stale workspace config is no longer applied to fresh runs. Operators who relied on this implicit inheritance may see different environment selection on the first rerun after deploy. Mitigation: the explicit isssue settings and project policy are still honored as before. ## 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 |
||
|
Devin Foley
|
09eceb952a |
Avoid resuming stale remote sessions (Pi adapter) (#5120)
> **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 |
||
|
Devin Foley
|
d22e790bd4 |
Validate remote model probes on execution target (OpenCode) (#5119)
> **Stacked PR (part 6 of 7).** Depends on: - PR #5114 - PR #5115 - PR #5116 - PR #5117 - PR #5118 > 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 OpenCode adapter validates that its configured model exists before letting > a run start so misconfiguration fails fast with a clear error > - SSH testing reproduced an OpenCode failure where issues stayed `backlog`, > timed out, and produced no comments. The root cause was in > `packages/adapters/opencode-local/src/server/execute.ts`: the local model > guard `ensureOpenCodeModelConfiguredAndAvailable(...)` only ran when execution > was *not* remote, so SSH OpenCode bypassed it and failed silently later > - Subsequent testing surfaced a related remote-only failure where the probe > (when wired up naively) hits `EACCES: permission denied, mkdir '/var/folders'` > on the SSH box because of how OpenCode's runtime config picks a tempdir > - This PR runs the model probe on the actual execution target — `opencode > models` via `runAdapterExecutionTargetProcess` — instead of the local CLI, > parses the output with the shared `parseOpenCodeModelsOutput` helper, and > reports a concrete error naming the offending model and a sample of available > remote models when the configured model isn't present > - The benefit is that mismatched OpenCode models surface as a clear pre-flight > error referencing the remote target instead of a silent run that never leaves > `backlog` ## What Changed - Added `ensureRemoteOpenCodeModelConfiguredAndAvailable` in `opencode-local/src/server/execute.ts` that runs `opencode models` via `runAdapterExecutionTargetProcess` and validates the configured model is in the parsed output - `models.ts` now exports `parseOpenCodeModelsOutput` and `requireOpenCodeModelId` so the remote path can reuse them - `execute.ts` calls the remote variant when `executionTargetIsRemote`, otherwise the existing local `ensureOpenCodeModelConfiguredAndAvailable` - Errors include the offending model id and a sample of available remote models so the operator knows exactly what's missing - `execute.remote.test.ts` extended with cases for: probe timeout, probe non-zero exit, empty model list, and missing-model error ## Verification - `pnpm --filter @paperclipai/adapter-opencode-local test` - `pnpm test -- opencode-local` - Manual QA: configured an OpenCode agent with a model that exists locally but not in the remote sandbox, and confirmed the new error fires before the run starts and references the remote target ## Risks - New behaviour: remote model validation adds a `~20s timeout` `opencode models` call on every remote run start. For most environments this is fast, but a network-slow sandbox could see startup latency rise. Timeout is bounded. - If the remote CLI is missing or misconfigured, the new error replaces the old generic startup failure — clearer message, but the failure point shifts earlier. Monitor for any QA flows that relied on the old failure shape. ## 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 |
||
|
Devin Foley
|
856c6cb192 |
Fix remote workspace environment shaping (#5118)
> **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 |
||
|
Devin Foley
|
bb7d040894 |
Switch OpenCode to explicit static/local-aware model selection (#5117)
> **Stacked PR (part 4 of 7).** Depends on: - PR #5114 - PR #5115 - PR #5116 > 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 > - When creating an OpenCode-local agent, Paperclip currently validates > `adapterConfig.model` against the *Paperclip host's* `opencode models` output > - SSH testing surfaced that this blocks creating an OpenCode agent for an SSH > environment: the model that exists on the SSH target isn't visible to the > host, so creation fails with "OpenCode requires `adapterConfig.model` in > provider/model format" even when the operator picked a real remote model > - The initial direction was environment-aware model discovery; the final > decision was to keep OpenCode on the same explicit-model pattern as other > adapters (default + curated list + manual override) and stop blocking > creation on host-side discovery > - This PR does both: the adapter-models endpoint now accepts `environmentId` and > probes against the target environment, and the create-time hard gate is > replaced by `requireOpenCodeModelId` which validates `provider/model` *format* > without requiring host-local discovery. Test/run-time still surfaces real > auth/availability problems > - The benefit is that operators can create OpenCode agents for remote > environments without out-of-band setup, and the model picker in the UI > reflects the actually-targeted environment ## What Changed - Added `requireOpenCodeModelId(input)` in `opencode-local/src/server/models.ts`, exported it from the adapter index - `ensureOpenCodeModelConfiguredAndAvailable` now delegates the format check to `requireOpenCodeModelId` - `agentsApi.adapterModels(companyId, adapterType, { environmentId })` now accepts an environment ID and passes it as a query parameter - `queryKeys.agents.adapterModels` now keys on `(companyId, adapterType, environmentId)` - `server/src/routes/agents.ts` reads and validates the new query parameter, forwarding it to the adapter's model probe - `AgentConfigForm.tsx` and `OnboardingWizard.tsx` build the model query key from the currently selected default environment ID and disable autodetect for `opencode_local` (model selection is explicit) - `NewAgent.tsx` simplified — no longer special-cases OpenCode autodetect - `company-portability.ts` no longer needs OpenCode-specific autodetect handling - Tests added/updated: `adapter-model-refresh-routes.test.ts`, `adapter-models.test.ts`, `agent-permissions-routes.test.ts`, `opencode-local/src/server/models.test.ts` ## Verification - `pnpm --filter @paperclipai/server test -- adapter-models adapter-model-refresh agent-permissions` - `pnpm --filter @paperclipai/adapter-opencode-local test` - `pnpm --filter @paperclipai/ui test -- AgentConfigForm OnboardingWizard NewAgent` - Manual QA in browser: 1. Boot Paperclip on Tailscale-bound port (so it's reachable from another machine), create an OpenCode-local agent, switch the default environment between two installed sandboxes, and confirm the model list refreshes per-environment 2. Submit with a malformed `provider/model` string and verify the new `requireOpenCodeModelId` error surfaces - Before/after screenshots attached for `AgentConfigForm` model picker ## Risks - Behavioural shift: switching default environment now triggers a model refetch. Should be cheap but introduces a new UI loading state for OpenCode users. - Removing dynamic autodetect for OpenCode: if any user configured an agent without specifying `model` and relied on autodetect populating it, that agent will now fail at submit time. Mitigation: validation error is explicit and actionable. - New query string parameter on `/api/companies/:id/adapter-models` — older clients that omit it still work (parameter is optional and defaults to null). ## 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 - [x] If this change affects the UI, I have included before/after screenshots - [ ] 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 |
||
|
Devin Foley
|
076067865f |
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 |
||
|
Devin Foley
|
a7b45938b7 |
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
|
||
|
Dotta
|
15eac43b43 |
[codex] Retry max-turn exhausted heartbeats (#5096)
## Thinking Path > - Paperclip orchestrates AI agents for autonomous companies, and heartbeat execution is the control-plane loop that keeps assigned work moving. > - Max-turn exhaustion is a recoverable local-adapter stop condition for Claude and Gemini agents when a run needs another heartbeat to continue safely. > - The previous behavior could leave max-turn continuation details hard to inspect, and duplicate/stale continuation wakes could keep running after issue state changed. > - The adapter layer also needed to avoid trusting arbitrary stdout/stderr text as scheduler control metadata. > - This pull request adds bounded max-turn continuation scheduling, visible retry state, structured stop metadata handling, and stale/duplicate continuation guards. > - The benefit is safer automatic continuation after max-turn stops, clearer operator visibility, and fewer duplicate or stale agent runs. ## What Changed - Replaces closed PR #4952, whose head repository was deleted. - Rebases the recovered max-turn continuation branch onto current `paperclipai/paperclip:master`. - Adds max-turn continuation scheduling and retry-state plumbing for heartbeat runs. - Adds stale/duplicate continuation suppression when issue status, ownership, or execution locks change. - Normalizes Claude/Gemini max-turn detection around structured stop metadata instead of unstructured stdout/stderr text. - Surfaces max-turn continuation settings and retry visibility in the board UI. - Adds focused server, adapter, and UI tests for max-turn stop metadata, retry scheduling, stale queued-run invalidation, adapter parsing/execution, run ledger display, and agent config patching. ## Verification - `pnpm install --no-frozen-lockfile` to refresh local dependencies after rebasing onto current `master`. - `pnpm run preflight:workspace-links && pnpm exec vitest run server/src/__tests__/claude-local-adapter.test.ts server/src/__tests__/claude-local-execute.test.ts server/src/__tests__/gemini-local-adapter.test.ts server/src/__tests__/gemini-local-execute.test.ts server/src/__tests__/heartbeat-retry-scheduling.test.ts server/src/__tests__/heartbeat-stale-queue-invalidation.test.ts server/src/services/heartbeat-stop-metadata.test.ts ui/src/components/IssueRunLedger.test.tsx ui/src/lib/agent-config-patch.test.ts ui/src/lib/runRetryState.test.ts --testTimeout=20000` - `pnpm --filter @paperclipai/adapter-claude-local typecheck && pnpm --filter @paperclipai/adapter-gemini-local typecheck && pnpm --filter @paperclipai/server typecheck && pnpm --filter @paperclipai/ui typecheck` - UI screenshot note: the UI changes are limited to config/ledger state rendering rather than layout changes; component/unit coverage above verifies the rendered behavior. ## Risks - Medium behavior risk: heartbeat retry gating now suppresses max-turn continuations when issue state or execution locks drift, so any callers that relied on stale continuations running will now see cancellation instead. - Low adapter risk: Claude/Gemini unstructured text no longer triggers max-turn scheduler metadata, so only structured stop signals and Gemini exit code 53 are trusted. - No database migrations. > 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, GPT-5-class model, tool-enabled local repository editing and command 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 - [x] If this change affects the UI, I have included before/after screenshots (not applicable: state/default rendering only; covered by component/unit tests) - [x] I have updated relevant documentation to reflect my changes (not applicable: no user-facing command or docs contract changed) - [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> |
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Dotta
|
57229d0f24 |
[codex] Add issue monitor liveness controls (#4988)
## Thinking Path > - Paperclip is a control plane for autonomous AI companies where work must stay observable, governable, and recoverable. > - The task/heartbeat subsystem owns agent execution continuity, issue state transitions, and visible recovery behavior. > - Waiting on an external service is not the same as being blocked when the assignee still owns a future check. > - The gap was that agents had no first-class one-shot monitor state for external-service waits, so recovery could look stalled or require ad hoc comments. > - This pull request adds bounded issue monitors that can wake the owner, clear exhausted waits, and produce explicit recovery behavior. > - It also surfaces monitor status in the board UI and documents when to use monitors versus `blocked`. > - The benefit is clearer liveness semantics for asynchronous waits without weakening single-assignee task ownership. ## What Changed - Added issue monitor fields, shared types, validators, constants, and an idempotent `0075` migration for scheduled monitor state. - Added server-side monitor scheduling, dispatch, recovery bounds, activity logging, and external-ref redaction. - Added board/agent route coverage for monitor permissions and child monitor scheduling. - Added issue detail/property UI for monitor state, a monitor activity card, and Storybook stories for review surfaces. - Documented monitor semantics and recovery policy behavior in `doc/execution-semantics.md`. - Addressed Greptile review feedback by preserving monitor state in skipped-stage builders and making board monitor saves send `scheduledBy: "board"`. ## Verification - `pnpm install --frozen-lockfile` - `pnpm run preflight:workspace-links && pnpm exec vitest run server/src/__tests__/issue-execution-policy-routes.test.ts server/src/__tests__/issue-execution-policy.test.ts server/src/__tests__/issue-monitor-scheduler.test.ts server/src/__tests__/recovery-classifiers.test.ts ui/src/components/IssueMonitorActivityCard.test.tsx ui/src/components/IssueProperties.test.tsx ui/src/lib/activity-format.test.ts` - First run passed 5 files and failed to collect 2 server suites because the worktree was missing the optional `acpx/runtime` dependency. - After `pnpm install --frozen-lockfile`, reran the 2 failed suites successfully. - `pnpm exec vitest run server/src/__tests__/issue-monitor-scheduler.test.ts server/src/__tests__/recovery-classifiers.test.ts` - `pnpm --filter @paperclipai/shared typecheck && pnpm --filter @paperclipai/db typecheck && pnpm --filter @paperclipai/server typecheck && pnpm --filter @paperclipai/ui typecheck` - `pnpm exec vitest run server/src/__tests__/issue-execution-policy.test.ts ui/src/components/IssueProperties.test.tsx` - `pnpm --filter @paperclipai/server typecheck && pnpm --filter @paperclipai/ui typecheck` - `pnpm exec vitest run ui/src/components/IssueMonitorActivityCard.test.tsx ui/src/components/IssueProperties.test.tsx` - `pnpm --filter @paperclipai/ui typecheck` - Storybook screenshot captured from `http://127.0.0.1:6006/iframe.html?viewMode=story&id=product-issue-monitor-surfaces--monitor-surfaces` with Playwright. ## Screenshots  ## Risks - Medium: this changes heartbeat recovery behavior for scheduled external-service waits, so regressions could affect wake timing or recovery issue creation. - Migration risk is reduced by using `IF NOT EXISTS` for the new issue monitor columns and index. - External monitor references are treated as secret-adjacent and are intentionally omitted from visible activity/wake payloads. > 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 repository tool use and terminal 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 - [x] If this change affects the UI, I have included before/after screenshots or Storybook review surfaces - [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> |
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Dotta
|
76f09c8eb6 |
[PAP-3180] Move workspace switcher into sidebar (#4981)
## Thinking Path > - Paperclip is the control plane for autonomous AI companies. > - The board UI needs a clear persistent way to move between company workspaces. > - The previous layout kept company switching in a separate left rail, which made the sidebar feel split between workspace selection and navigation. > - The workspace switcher belongs in the sidebar header so navigation and workspace context stay together. > - This pull request removes the separate company rail from the layout and turns the sidebar company menu into the primary workspace switcher. > - The benefit is a cleaner sidebar structure that keeps workspace identity, switching, company actions, and navigation in one place. ## What Changed - Removed the standalone `CompanyRail` from the main layout. - Added the company/workspace switcher to the default, company settings, and instance settings sidebars. - Expanded `SidebarCompanyMenu` to list active workspaces, indicate the current workspace, navigate out of instance settings when switching, and expose add-company onboarding. - Updated focused component tests for the new workspace-switcher behavior. ## Verification - `pnpm --filter @paperclipai/ui exec vitest run src/components/SidebarCompanyMenu.test.tsx src/components/CompanySettingsSidebar.test.tsx` - `pnpm --filter @paperclipai/ui typecheck` - `git diff --check` - Visual smoke attempted against the managed dev server at `http://127.0.0.1:57385`; a fresh browser context reached the authenticated sign-in screen, so I could not capture an authenticated sidebar screenshot from this heartbeat. ## Risks - Low-to-medium UI risk: this changes the primary sidebar structure and workspace-switching entry point. - The instance-settings switch behavior now routes back to the selected company dashboard when a workspace is selected. - No migrations, API contracts, or lockfile changes. > 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, tool-enabled, medium reasoning mode. ## 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 Co-authored-by: Paperclip <noreply@paperclip.ing> |
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Dotta
|
685ee84e4a |
[codex] Document terminal bench dispatch config (#4961)
## Thinking Path > - Paperclip agents rely on skills for repeatable operating procedures > - The Terminal-Bench loop skill needs to preserve enough dispatch configuration to reproduce real heartbeat behavior > - A bare benchmark command can create unassigned work with no heartbeat-enabled agent, which is a harness setup failure rather than product evidence > - The Paperclip heartbeat skill also needs to keep escalation biased toward agent-owned follow-through > - This pull request documents dispatch runner config requirements and strengthens the agent follow-through rule > - The benefit is fewer misleading benchmark loops and clearer agent operating guidance ## What Changed - Documented `PAPERCLIP_HARBOR_RUNNER_CONFIG` / runner dispatch config as required Terminal-Bench loop input. - Updated the Terminal-Bench loop smoke check to require the dispatch config mention. - Added stronger Paperclip skill guidance to avoid asking humans for work an agent can perform. ## Verification - `pnpm smoke:terminal-bench-loop-skill` ## Risks - Low risk: documentation and smoke expectation changes only. The stricter smoke assertion is intentional so future edits do not drop the dispatch config requirement. > 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, tool use and local command execution. Exact context window was not exposed in 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 - [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> |
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Dotta
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d7719423e9 |
[codex] Harden non-system database backup schemas (#4960)
## Thinking Path > - Paperclip is a control plane whose database is the durable audit and work record > - Database backup needs to include operator/plugin schemas while excluding PostgreSQL-owned internals > - PostgreSQL reserves the `pg_` schema prefix for system schemas, including temp and toast variants > - A single escaped `pg_` prefix predicate is less brittle than enumerating individual `pg_toast` and `pg_temp` forms > - This pull request tightens non-system schema discovery for logical backups without changing the normal user/plugin schema path ## What Changed - Replaced narrow `pg_toast` and `pg_temp` schema exclusions with an escaped `pg_` reserved-prefix exclusion. - Kept `information_schema` excluded from logical backup metadata discovery. - Addressed Greptile feedback by removing redundant no-op additions from the prior iteration. ## Verification - `pnpm exec vitest run packages/db/src/backup-lib.test.ts` - PR checks on the latest pushed head: policy, verify, e2e, Greptile Review, and Snyk ## Risks - Low risk: PostgreSQL reserves `pg_` schema names for system use, so this should only exclude database-owned internals that should not be restored from Paperclip logical backups. > 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, tool use and local command execution. Exact context window was not exposed in 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 - [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> |
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Dotta
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fe401b7fa9 |
[codex] Polish inbox nested issue UI (#4959)
## Thinking Path > - Paperclip orchestrates AI agents through issue lists and issue-thread interactions > - The inbox must preserve nested issue visibility and keyboard navigation as work decomposes into deeper sub-issues > - Some UI polish issues made nested rows harder to scan and pending question cancellation less covered > - The issue list also had a small test indentation regression around load-more behavior > - This pull request tightens nested inbox rendering and related issue-thread/list polish > - The benefit is a more reliable operator inbox for multi-level work trees ## What Changed - Included nested grandchild issues in inbox keyboard navigation and recursive row rendering. - Sort parent rows by descendant activity so active subtrees remain visible. - Removed extra inbox card background styling in favor of the page surface. - Added regression coverage for pending question cancellation. - Cleaned up the issue-list load-more test indentation. ## Verification - `pnpm exec vitest run ui/src/lib/inbox.test.ts ui/src/components/IssueChatThread.test.tsx ui/src/components/IssuesList.test.tsx` - Screenshots were not captured in this PR split; the visible flow is covered by focused component/helper tests and should get browser QA in the follow-up issue. ## Risks - Medium risk: nested inbox rendering and keyboard navigation are user-visible. The changes are localized to inbox grouping/rendering helpers and covered by targeted 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 coding agent, tool use and local command execution. Exact context window was not exposed in 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 - [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 --------- Co-authored-by: Paperclip <noreply@paperclip.ing> |
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Dotta
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2d72292ad6 |
[codex] Add workspace routine run tab (#4958)
## Thinking Path > - Paperclip orchestrates AI agents through reusable execution workspaces and routines > - Operators need a fast way to run workspace-aware routines against a specific execution workspace > - The existing workspace detail surface showed configuration, runtime logs, and linked issues, but not routines that depend on workspace variables > - Routine runs also needed to prefill the selected execution workspace so branch variables resolve correctly > - This pull request adds a workspace routines tab and prefilled routine-run dialog support > - The benefit is a tighter workflow for rerunning reviews, smoke checks, and other workspace-specific routines ## What Changed - Added an execution workspace `Routines` tab and company-prefixed routes. - Listed routines that declare or reference workspace-specific variables. - Added `Run now` support that preselects the current execution workspace in `RoutineRunVariablesDialog`. - Centralized reusable execution workspace ordering/deduplication for issue creation and workspace cards. - Added focused UI helper and dialog regression tests. ## Verification - `pnpm exec vitest run ui/src/lib/reusable-execution-workspaces.test.ts ui/src/lib/workspace-routines.test.ts ui/src/components/RoutineRunVariablesDialog.test.tsx ui/src/lib/company-routes.test.ts` - Screenshots were not captured in this PR split; the visible flow is covered by focused component/helper tests and should get browser QA in the follow-up issue. ## Risks - Medium risk: this adds a new workspace detail tab and routine-run path. It is isolated to workspace-scoped routines and uses existing routine run APIs. > 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, tool use and local command execution. Exact context window was not exposed in 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 - [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 --------- Co-authored-by: Paperclip <noreply@paperclip.ing> |
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Dotta
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570a4206da |
[codex] Recover productive terminal continuations (#4956)
## Thinking Path > - Paperclip orchestrates AI agents through issue-scoped heartbeat runs > - Recovery logic decides whether in-progress work still has a live path after a terminal run > - A productive terminal continuation can still leave an issue stranded when no active run or wake remains > - Treating that state as healthy leaves work stuck despite evidence that more action is needed > - This pull request re-enqueues recovery for productive terminal continuations that left no live path > - The benefit is fewer silently stranded in-progress issues after agents make partial progress ## What Changed - Reclassified successful-but-productive terminal continuations as recoverable when no live path remains. - Enqueue a follow-up recovery wake with the original run id and continuation metadata. - Added regression tests covering productive terminal continuation recovery and advanced liveness handoff. ## Verification - `pnpm exec vitest run server/src/__tests__/heartbeat-process-recovery.test.ts server/src/__tests__/run-continuations.test.ts` ## Risks - Medium risk: recovery may schedule one more follow-up where Paperclip previously considered the work observed. The existing uniqueness, budget, and escalation checks still constrain retry loops. > 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, tool use and local command execution. Exact context window was not exposed in 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 - [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> |
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Dotta
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3cd26a78fc |
[codex] Surface live run comment context (#4957)
## Thinking Path > - Paperclip orchestrates AI agents through issue comments and heartbeat runs > - The board UI needs to distinguish a comment that triggered a live run from comments queued after that run started > - The run payload already stores comment context, but active-run API responses did not expose the ids the UI needs > - Without those ids, the triggering comment can flash as queued while the agent is already responding to it > - This pull request exposes live-run comment context and teaches the optimistic comment helper to ignore the trigger comment > - The benefit is clearer issue-chat state during comment-triggered agent interruptions ## What Changed - Added `contextCommentId` and `contextWakeCommentId` to active/live run payloads. - Threaded those ids through server routes, heartbeat summaries, UI API types, and issue detail rendering. - Updated optimistic comment classification to avoid marking the triggering comment as queued. - Added server and UI regression coverage. ## Verification - `pnpm exec vitest run server/src/__tests__/agent-live-run-routes.test.ts ui/src/lib/optimistic-issue-comments.test.ts` ## Risks - Low-to-medium risk: adds optional fields to existing run payloads. Existing consumers should ignore unknown fields, and UI handling is null-safe. > 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, tool use and local command execution. Exact context window was not exposed in 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 - [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 --------- Co-authored-by: Paperclip <noreply@paperclip.ing> |
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Dotta
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e8275318ba |
[codex] Raise agent heartbeat concurrency default (#4954)
## Thinking Path > - Paperclip orchestrates AI agents for zero-human companies > - Agent heartbeat settings control how much parallel work one employee can run > - The previous default of 5 concurrent runs was too restrictive for active local agent teams > - The shared default, heartbeat clamp, docs, and route/import/UI expectations need to agree > - This pull request raises the default heartbeat concurrency to 20 while keeping explicit headroom up to 50 for power users > - The benefit is higher throughput for agent teams without each new agent needing manual runtime config edits ## What Changed - Raised `AGENT_DEFAULT_MAX_CONCURRENT_RUNS` from 5 to 20. - Raised the heartbeat service max clamp from 10 to 50, keeping the new default below the ceiling. - Updated V1 implementation docs and tests that assert default imported/exported runtime config. - Updated the new-agent UI runtime config test to assert the shared default constant instead of duplicating the numeric value. ## Verification - `pnpm exec vitest run server/src/__tests__/agent-permissions-routes.test.ts server/src/__tests__/company-portability.test.ts ui/src/lib/new-agent-runtime-config.test.ts` ## Risks - Medium risk: new agents can consume more local execution capacity by default. The heartbeat scheduler still respects configured max concurrency and budget/pause controls, and operators can lower or raise the per-agent cap within the `1..50` clamp. > 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, tool use and local command execution. Exact context window was not exposed in 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 - [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> |
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Dotta
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e273d621fc |
[PAP-3154] Stop padding /live-runs by default (#4963)
## Summary - Fix [PAP-3154](/PAP/issues/PAP-3154): the Sidebar's "Dashboard NN live" badge showed a constant 50 in every company because `GET /api/companies/:companyId/live-runs` was padding its response with up to 50 recent (non-live) heartbeat runs whenever the caller did not pass `minCount`. - Regression introduced by [#4875](https://github.com/paperclipai/paperclip/pull/4875) (commit `6445bef9`), which capped both `minCount` and `limit` at 50 with a fallback of 50 for omitted values. The cap is correct for `limit` (real unboundedness guard); for `minCount` it conflates "no padding" with "pad to the cap". - Default `minCount` to 0 so callers asking for "live runs" only get actually-live runs unless they explicitly request padding (`ActiveAgentsPanel` is the only caller that does). Keep `limit` capped at 50 by default. ## Test plan - [x] `pnpm exec vitest run server/src/__tests__/agent-live-run-routes.test.ts` — 7/7 pass, including new tests for the no-pad default and explicit padding. - [x] `pnpm exec vitest run ui/src/components/Sidebar.test.tsx ui/src/components/ActiveAgentsPanel.test.tsx ui/src/api/heartbeats.test.ts` — 6/6 pass. - [ ] Verify in dev: with ~8 truly-live runs in a company, the sidebar Dashboard badge shows the real count (not 50). 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-authored-by: Paperclip <noreply@paperclip.ing> |
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Dotta
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42a299fb9d |
[codex] Bound productivity review recovery loops (#4948)
## Thinking Path > - Paperclip orchestrates AI agents for zero-human companies. > - The heartbeat/productivity review subsystem detects when assigned work is likely stuck or churning. > - Productivity reviews are useful, but repeated reconciliation can create noisy refresh comments or repeated review issues around the same source issue. > - That makes manager follow-up harder because the signal can get buried under duplicate review activity. > - This pull request bounds productivity review refreshes and creation loops while preserving the existing escalation path. > - The benefit is a quieter recovery loop that still surfaces stuck or high-churn work for manager attention. ## What Changed - Added refresh throttling for open productivity review issues, including a one-hour default interval and a maximum of three refresh comments per open review. - Added a rolling 24-hour creation cap so completed/closed reviews cannot immediately recreate review issues indefinitely for the same source issue. - Excluded cancelled productivity reviews from the creation cap so manager cancellations do not silently suppress future legitimate reviews. - Preserved productivity review timestamps in deterministic test paths and added targeted coverage for immediate refresh suppression, refresh caps, creation caps, and cancelled-review exclusion. ## Verification - `pnpm run preflight:workspace-links && pnpm exec vitest run server/src/__tests__/productivity-review-service.test.ts` - `pnpm exec vitest run server/src/__tests__/productivity-review-service.test.ts` - Greptile Review: 5/5 on commit `bcf25832d0ffae25890b2ee7eed112d1c2d114fe` with review threads resolved. - GitHub PR checks passed on the latest head: `policy`, `verify`, `e2e`, `Greptile Review`, and `security/snyk (cryppadotta)`. - Verified the branch is rebased onto `public-gh/master` with no conflicts. - Verified the diff does not include `pnpm-lock.yaml`, database schema changes, or migrations. ## Risks - Low-to-medium risk: this changes automation cadence for productivity reviews. A truly stuck issue may receive fewer repeated refresh comments, but the original review issue remains open and assigned for manager action. - No migration risk: this is server logic and tests only. > Checked [`ROADMAP.md`](ROADMAP.md) for overlapping planned core work; this is a targeted recovery-loop fix and does not add a new roadmap feature. ## Model Used - OpenAI Codex coding agent, GPT-5 model family, tool-using software engineering mode. Exact context window is not exposed in this 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 (not applicable; server-only change) - [x] I have updated relevant documentation to reflect my changes (not applicable; no user-facing docs or commands changed) - [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> |
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Devin Foley
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d2dd759caa |
plugins: make e2b template default explicit (#4901)
## Thinking Path > - Paperclip orchestrates AI agents for zero-human companies > - Remote execution environments are part of that control plane, including sandbox-provider plugins like E2B > - The E2B provider already normalizes config and runtime behavior around a `base` template default > - But the manifest still presented `template` as required, which forces redundant operator input and makes the UI contract stricter than runtime behavior > - That mismatch showed up while building a repeatable QA workflow for sandbox testing > - This pull request makes the manifest and validation contract line up with the existing `base` default > - The benefit is a simpler and more accurate E2B environment setup experience ## What Changed - Removed the E2B manifest's `required: ["template"]` requirement so the config schema matches runtime behavior - Clarified the manifest description to say the template defaults to `base` when omitted - Added a focused unit test proving that validation normalizes a missing template to `base` ## Verification - Ran the focused E2B plugin test for the new behavior: - `cd packages/plugins/sandbox-providers/e2b && pnpm test -- --testNamePattern "defaults a missing template to base"` ## Risks - Low risk. This only loosens the schema to match the plugin's existing runtime normalization and adds a test for that path. - The broader E2B plugin suite currently has unrelated existing failures outside this change; this PR does not modify those paths. ## Model Used - OpenAI Codex, GPT-5 Codex via Codex CLI agent tooling, large-context coding workflow with terminal tool use 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 - [ ] 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 - [ ] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [ ] I will address all Greptile and reviewer comments before requesting merge |
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Devin Foley
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b02e67cea5 |
fix(ci): diff PR workflow paths from merge base (#4903)
## Thinking Path > - Paperclip’s PR workflow is part of the control-plane safety surface because it decides whether a branch is allowed to merge. > - This issue started in that workflow: the lockfile and manifest policy checks were diffing `base.sha..head.sha`, which incorrectly treated unrelated `master` commits as if they belonged to the PR branch. > - The right fix there is to diff from the PR merge base (`base...head`) so policy checks only evaluate files introduced by the branch itself. > - Once that workflow fix was in place, `/checkpr` exposed a second blocker on the PR merge ref: `verify` was failing in newer `master`-side tests that were not part of the original branch diff. > - The actionable repeated failure came from the ACPX local adapter test suite, where a test hard-coded the managed Codex home under `instances/default` even though the stable Vitest runner sets a non-default `PAPERCLIP_INSTANCE_ID`. > - This pull request now includes both the original CI diff-scope fix and the targeted ACPX test fix so the PR’s actual checks align with current base-branch execution. > - The benefit is that the original false-positive lockfile failure is removed, and the merge-ref verify path is hardened against the instance-id isolation used in CI. ## What Changed - Updated `.github/workflows/pr.yml` so the lockfile policy and manifest policy steps diff `pull_request.base.sha...pull_request.head.sha` from the merge base instead of using a two-dot base/head diff. - Added an inline workflow comment explaining why the three-dot diff is required for PR-scoped file detection. - Updated `packages/adapters/acpx-local/src/server/execute.test.ts` so the managed Codex home assertion uses a test-specific `PAPERCLIP_INSTANCE_ID` instead of hard-coding `default`. - Restored `PAPERCLIP_INSTANCE_ID` after that ACPX test finishes so the test remains isolated and does not leak process env changes. ## Verification - Reproduced the original false positive locally by comparing PR heads `#4901` and `#4902` with the old `base..head` logic; both incorrectly included `pnpm-lock.yaml` from unrelated `master` commits. - Verified the new `base...head` logic reduces those PRs to only their actual changed files and excludes `pnpm-lock.yaml`. - Verified a real manifest-changing PR (`#4893`) still reports `package.json` changes under the new logic. - Ran `pnpm -r typecheck` successfully. - Ran `pnpm vitest run packages/adapters/acpx-local/src/server/execute.test.ts` successfully after the ACPX test fix. - Ran `pnpm vitest run packages/db/src/backup-lib.test.ts` successfully against the merge-ref-related DB failure path observed during `/checkpr`. - Pushed commit `9520a976` and allowed PR `#4903` checks to rerun on the updated branch. ## Risks - Low risk: the workflow change only affects how PR policy checks determine the changed file set. - Low risk: the ACPX change is test-only and aligns the test with the instance-isolation behavior already used by `scripts/run-vitest-stable.mjs` in CI. - The remaining operational risk is limited to other unrelated merge-ref-only failures that were not reproduced in the targeted local verification above. > 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-codex`, via the Codex local adapter in Paperclip. - Tool-using coding model with shell execution, git, GitHub CLI, and repository inspection in a local worktree. - Context included the current repo, the Paperclip task thread, PR check output, and the isolated execution workspace. ## 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 - [ ] 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 |
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github-actions[bot]
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6a7cca95ef |
chore(lockfile): refresh pnpm-lock.yaml (#4899)
Auto-generated lockfile refresh after dependencies changed on master. This PR only updates pnpm-lock.yaml. Co-authored-by: lockfile-bot <lockfile-bot@users.noreply.github.com> |
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Dotta
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4272c1604d |
Add ACPX local adapter runtime (#4893)
## Thinking Path > - Paperclip orchestrates AI-agent companies through a control plane that can start, supervise, and recover agent runs. > - Local adapters are the bridge between Paperclip issues and concrete agent runtimes such as Claude, Codex, and other ACP-compatible tools. > - The roadmap calls out broader “bring your own agent” and claw-style agent support, and ACPX gives Paperclip one path to normalize multiple ACP agents behind a single adapter. > - The branch needed to become one reviewable PR against current `paperclipai/paperclip:master`, without carrying stale base conflicts or generated lockfile churn. > - This pull request adds an experimental built-in `acpx_local` adapter, integrates it through the server/CLI/UI adapter surfaces, and adds regression coverage for runtime execution, skill sync, stream parsing, diagnostics, and log redaction. > - The benefit is that Paperclip can run Claude/Codex/custom ACP agents through ACPX while keeping operator configuration, skills, logging, and transcript rendering inside the existing adapter model. ## What Changed - Added `@paperclipai/adapter-acpx-local` with server execution, config schema, ACPX session handling, CLI formatting, UI config helpers, and stdout parsing. - Registered `acpx_local` across CLI, server, shared constants, UI adapter metadata, adapter capabilities, and agent creation/editing surfaces. - Added ACPX runtime execution support with persistent sessions, local-agent JWT environment handling, skill snapshots, runtime skill materialization, and isolation/security regressions. - Added ACPX adapter diagnostics and marked the adapter experimental in the UI. - Added command/env secret redaction for resolved command metadata in adapter-utils, server event storage, and the Agent Detail invocation UI. - Added Storybook coverage for ACPX config, transcript rendering, and skill states, plus PR screenshots under `docs/pr-screenshots/pap-2944/`. - Rebased the branch onto current `public-gh/master`; `pnpm-lock.yaml` is intentionally not included and there are no migration/schema changes. ## Verification - `pnpm exec vitest run packages/adapters/acpx-local/src/server/execute.test.ts packages/adapters/acpx-local/src/server/test.test.ts packages/adapters/acpx-local/src/cli/format-event.test.ts packages/adapters/acpx-local/src/ui/parse-stdout.test.ts packages/adapter-utils/src/server-utils.test.ts server/src/__tests__/redaction.test.ts server/src/__tests__/acpx-local-execute.test.ts server/src/__tests__/acpx-local-skill-sync.test.ts server/src/__tests__/acpx-local-adapter-environment.test.ts server/src/__tests__/adapter-routes.test.ts server/src/__tests__/agent-skills-routes.test.ts ui/src/adapters/metadata.test.ts` — 12 files, 87 tests passed. - `pnpm --filter @paperclipai/adapter-acpx-local typecheck` — passed. - `pnpm --filter @paperclipai/server typecheck` — passed. - `pnpm --filter @paperclipai/ui typecheck` — passed. - Confirmed PR diff does not include `pnpm-lock.yaml`, database schema files, or migrations. Screenshots:    ## Risks - Medium risk: this introduces a new built-in adapter package and touches runtime execution, adapter registration, agent config, skills, and transcript rendering. - ACPX and ACP agent behavior can vary by installed tool versions; the adapter is marked experimental to set operator expectations. - `pnpm-lock.yaml` is excluded per repository PR policy, so dependency lock refresh must be handled by the repo’s automation or maintainers. - No database migration risk: no schema or migration files changed. > 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 based on GPT-5, with repository tool use, shell execution, git operations, and local verification. Exact hosted context window was not exposed in this environment. ## 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> |
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Dotta
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ad5432fece |
[codex] Harden issue recovery reliability (#4875)
## Thinking Path > - Paperclip is the control plane for autonomous agent companies, so non-terminal issue state must always have a clear live, waiting, or recovery owner. > - This change stays inside the server reliability and liveness subsystem for assigned issue recovery, blocker attention, and live-run polling. > - Closed PR #4860 mixed this reliability work with separate mutation-boundary policy changes, which made review and merge risk too broad. > - [PAP-2981](/PAP/issues/PAP-2981) asked for a replacement PR containing only the remaining reliability slice and explicitly excluding user-assignment and execution-policy restrictions. > - Follow-up review also split `advanced` run-liveness continuation behavior out of this PR so it can be reviewed separately. > - The implementation hardens repeated recovery escalation, expands blocker-attention coverage for explicit waiting and recovery paths, and caps company live-run polling defaults. > - The benefit is a smaller reliability PR that improves liveness behavior without changing agent/user mutation authorization boundaries or `advanced` continuation semantics. ## What Changed - Avoid repeated liveness escalation updates when the source issue is already blocked by the same open escalation. - Treat open liveness escalation recovery issues, their source issues, and their leaf blockers as covered waiting paths in blocker attention. - Cap default company live-run polling at 50 rows for both `minCount` and `limit`, including explicit zero values, to avoid unbounded responses. - Preserve the existing behavior where succeeded `advanced` runs are considered productive/healthy for stranded-work recovery and are not actionable bounded run-liveness continuations. - Added focused server coverage for recovery dedupe, blocker attention, liveness escalation, run continuations, and live-run polling. ## Verification - `pnpm install --frozen-lockfile` - `pnpm exec vitest run server/src/__tests__/heartbeat-process-recovery.test.ts server/src/__tests__/heartbeat-issue-liveness-escalation.test.ts server/src/__tests__/issue-blocker-attention.test.ts server/src/__tests__/run-continuations.test.ts server/src/__tests__/agent-live-run-routes.test.ts` - Result: 5 files passed, 63 tests passed. - `pnpm --filter @paperclipai/server typecheck` - Result: passed. - No UI changes; screenshots are not applicable. ## Risks - Recovery and blocker-attention classification changes can affect which blocked chains are shown as covered versus needing attention. - Live-run polling now treats omitted, invalid, or non-positive `limit` / `minCount` values as the capped default of 50. - `advanced` run-liveness continuation behavior is intentionally excluded from this PR and split for separate review. > 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, 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> |
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Dotta
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a3de1d764d |
Add cheap model profiles for local adapters (#4881)
## 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> |
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Dotta
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1fe1067361 |
Polish board settings and skills workflow (#4863)
## 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> |
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Dotta
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c4269bab59 |
Add workflow interaction cancellation and issue cost summaries (#4862)
## Thinking Path > - Paperclip coordinates work through issue-thread interactions, run history, and cost telemetry. > - Operators need workflow prompts to be cancellable and costs to be visible at the issue level. > - The earlier rollup mixed this workflow/cost work with database backups, reliability recovery, thread scaling, and settings polish. > - This pull request isolates the interaction and cost surfaces into a reviewable slice. > - The backend now supports cancelling pending question interactions and summarizing issue-tree costs. > - The UI component layer can render cancelled questions and interleave activity with run ledger rows. ## What Changed - Added `cancelled` as an issue-thread interaction status and result shape for question interactions. - Added the board-only `POST /issues/:id/interactions/:interactionId/cancel` route and service implementation. - Added issue-tree cost summary support in the cost service and `/issues/:id/cost-summary` API route. - Extended shared cost exports and UI API/query keys for issue cost summaries. - Updated `IssueThreadInteractionCard` and `IssueRunLedger` components for cancelled questions, issue cost surfaces, and activity/run interleaving. - Added focused server and component regression coverage. ## Verification - `pnpm install --frozen-lockfile` - `pnpm exec vitest run 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 ui/src/components/IssueRunLedger.test.tsx` - Result: 4 test files passed, 45 tests passed. - UI screenshots not included because this PR updates reusable components and API surfaces without wiring a new page-level layout. ## Risks - Adds a new interaction terminal status; clients that switch exhaustively on interaction status may need to handle `cancelled`. - Issue-tree cost summaries use recursive issue traversal and should be watched on unusually large issue trees. - Page-level issue detail wiring is intentionally left to the board QoL/issue-detail branch to keep this PR narrow. > 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> |
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Dotta
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87f19cd9a6 |
Improve issue thread scale and markdown polish (#4861)
## Thinking Path > - Paperclip's board UI is the operator surface for supervising AI-agent companies. > - Issue threads are where operators read progress, respond to agents, inspect markdown, and jump through long histories. > - Large threads and rich markdown had become difficult to navigate and expensive to render. > - The previous rollup mixed these UI scale fixes with unrelated backend recovery, costs, backups, and settings changes. > - This pull request isolates the issue-thread scale and markdown polish work. > - The benefit is a reviewable UI slice that can merge independently of the backend reliability, database backup, workflow, and board QoL PRs. ## What Changed - Virtualized long issue chat threads and stabilized anchor/jump-to-latest behavior for large histories. - Added incremental issue-list row loading and tests for scroll-triggered pagination behavior. - Hardened markdown body rendering and markdown editor behavior around HTML tags, image drops, code-copy UI, and escaped newline handling. - Added a long-thread measurement harness at `scripts/measure-issue-chat-long-thread.mjs` plus `perf:issue-chat-long-thread`. - Added focused UI/lib regression coverage for thread rendering, markdown, optimistic comments, and message building. ## Verification - `pnpm install --frozen-lockfile` - `pnpm exec vitest run ui/src/components/IssueChatThread.test.tsx ui/src/components/IssuesList.test.tsx ui/src/components/MarkdownBody.test.tsx ui/src/components/MarkdownEditor.test.tsx ui/src/lib/issue-chat-messages.test.ts ui/src/lib/optimistic-issue-comments.test.ts` - Result: 6 test files passed, 170 tests passed. - UI screenshots not included because this PR is covered by targeted component tests and does not introduce a new page layout. ## Risks - Virtualization changes can affect scroll anchoring in edge cases on very long threads. - Markdown/editor hardening changes are intentionally defensive, but malformed content may render differently than before. > 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> |
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Dotta
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cd606563f6 |
Expand database backups to non-system schemas (#4859)
## Thinking Path > - Paperclip is the control plane for autonomous AI companies. > - Reliable backups are part of operating that control plane safely. > - The previous backup path was public-schema oriented and did not clearly cover plugin-owned schemas or migration history. > - Paperclip now has plugin database namespaces and Drizzle migration state that must survive backup/restore. > - This pull request expands logical database backups to non-system schemas and documents the backup boundary. > - The benefit is safer restore behavior for core and plugin-owned database state without implying full filesystem disaster recovery. ## What Changed - Include non-system database schemas in JavaScript and pg_dump backup paths. - Preserve enum, table, sequence, index, constraint, migration, and plugin-schema objects across backup/restore. - Add restore coverage for plugin-owned schemas and Drizzle migration history. - Clarify docs that DB backups are logical database backups, not full instance filesystem backups. ## Verification - `pnpm install --frozen-lockfile` - `pnpm exec vitest run packages/db/src/backup-lib.test.ts` - Result: 1 test file passed, 4 tests passed. - Confirmed this PR does not include `pnpm-lock.yaml` or `.github/workflows/*` changes. ## Risks - Medium: backup generation touches schema discovery and restore ordering, so unusual database objects may need additional coverage later. - No migrations are 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, GPT-5 coding agent, tool use enabled, medium reasoning effort. Exact hosted context-window details are not exposed in this 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 Note: no UI changes are included in this PR, so screenshots are not applicable. --------- Co-authored-by: Paperclip <noreply@paperclip.ing> |
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Devin Foley
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c0ce35d1fb |
Improve E2B plugin configuration UX and fix execution timeouts (#4802)
## Thinking Path > - Paperclip orchestrates AI agents for zero-human companies > - E2B is a sandbox provider plugin that runs agent code in isolated cloud environments > - Operators configure E2B through the plugin settings page > - But the E2B API key configuration was unclear — the settings field description didn't explain that pasted keys are auto-saved as company secrets, and the fallback to the host `E2B_API_KEY` variable wasn't documented > - Additionally, long-running E2B sandbox commands were timing out because the plugin environment RPC driver used a fixed timeout, and environment commands competed for the single foreground command slot > - This PR clarifies the E2B configuration UX, fixes RPC timeouts for plugin environment execution, and runs E2B environment commands in background mode to avoid blocking the foreground slot > - The benefit is clearer E2B setup for operators and more reliable sandbox command execution ## What Changed - Updated E2B plugin manifest and settings UI to clarify API key configuration — field description now explains that pasted keys are saved as company secrets and documents the `E2B_API_KEY` host fallback - Added test coverage for the plugin settings page rendering - Fixed `plugin-environment-driver.ts` to pass the configured timeout through to RPC calls instead of using a hardcoded default - Updated `environment-runtime.ts` to propagate timeout from the environment lease to the plugin driver - Changed E2B sandbox command execution to use background handles so long-running agent commands don't block the foreground slot needed by the callback bridge ## Verification - `pnpm test` — all existing and new tests pass - `pnpm typecheck` — clean - Manual: navigate to plugin settings, verify E2B API key field shows the updated description text - Manual: run an E2B-backed agent task with a long-running command, verify it completes without RPC timeout ## Risks - Low risk. Configuration UX change is cosmetic. The timeout fix passes an existing value through instead of dropping it. Background command execution is a behavioral change but only affects E2B sandbox commands — the foreground slot is still available for bridge health checks. ## 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 |
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Devin Foley
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a4ac6ff133 |
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 |
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Devin Foley
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4cf612a92d |
Fix runtime state race, workspace sync, plugin startup, and orphaned leases (#4804)
## Thinking Path > - Paperclip orchestrates AI agents for zero-human companies > - Agents run inside environments that are leased, and the server manages runtime state, workspace configuration, and plugin lifecycle > - Several edge cases caused failures during concurrent operations: a race condition in runtime state insertion could produce duplicate-key errors, reused workspaces didn't sync their configuration when the parent issue was updated, sandbox provider plugins could be queried before registration completed, and orphaned environment leases from failed runs were never released > - This PR fixes these four runtime/environment issues > - The benefit is more reliable concurrent agent execution and proper resource cleanup ## What Changed - `services/heartbeat.ts`: Fixed a race condition where concurrent runtime state inserts could fail with a duplicate-key error by using an upsert pattern - `services/issues.ts`: Sync reused workspace configuration when an issue is updated, so the workspace reflects the latest issue state - `services/environment-runtime.ts`: Fixed a startup race where sandbox provider plugins could be queried before registration completed, by awaiting plugin readiness before resolving environment drivers - `services/heartbeat.ts`: Release environment leases for orphaned runs that lost their process without cleanup ## Verification - `pnpm test` — all existing and new tests pass, including new tests for runtime state upsert and process recovery lease cleanup - `pnpm typecheck` — clean - Manual: trigger concurrent agent runs to verify no duplicate-key failures; verify orphaned leases are released after process loss ## Risks - Low risk. The runtime state upsert changes insert-to-upsert behavior, which could mask a legitimate duplicate if two different runs produce the same key — but this is prevented by the run ID being part of the key. The plugin startup await is bounded by the existing registration timeout. ## 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 |
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Devin Foley
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f9cf1d2f6a |
Add cursor sandbox support and fix SSH workspace sync (#4803)
## 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 |
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Devin Foley
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a0f5cbffd7 |
Harden release flow with registry verification and dist-tag checks (#4800)
## Thinking Path > - Paperclip orchestrates AI agents for zero-human companies > - Paperclip is distributed as npm packages, including plugins like `plugin-e2b` > - The release process publishes canary and stable builds via npm dist-tags > - But there was no automated verification that published packages actually landed with the correct dist-tags, and broken canary publishes could silently ship to users > - This PR adds a registry verification script that checks published packages match their expected dist-tags, and wires it into PR CI so regressions are caught before merge > - The benefit is release integrity is verified automatically, and broken dist-tag states are caught early ## What Changed - Added `scripts/verify-release-registry-state.mjs` — verifies that published npm packages have correct dist-tag assignments and detects orphaned or mispointed tags - Added `scripts/verify-release-registry-state.test.mjs` — test coverage for the verification logic - Updated `scripts/release.sh` to include canary dist-tag safety checks before publishing - Updated `.github/workflows/pr.yml` to run registry verification as a CI step - Updated `doc/PUBLISHING.md` and `doc/RELEASING.md` with the new verification workflow ## Verification - `pnpm test` — all tests pass including new verification script tests - `node scripts/verify-release-registry-state.mjs` — runs against the live npm registry and reports current state - CI: the new PR workflow step runs on every PR push ## Risks - Low risk. This is additive CI and tooling — no runtime code changes. The registry verification is read-only (queries npm, does not publish). The release script changes add safety checks that abort before publishing if state is unexpected. ## 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 |
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Devin Foley
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367d4cab72 |
Fix SSH callback URL selection for LAN and private networks (#4799)
## Thinking Path > - Paperclip orchestrates AI agents for zero-human companies > - Agents can run on remote hosts via SSH environments > - When a remote agent needs to call back to the Paperclip API, it needs a reachable URL > - But the runtime API URL candidate builder did not account for private network topologies where the server is only reachable via LAN or VPN addresses > - Agents on SSH hosts were failing to connect because the callback URL pointed to localhost or an unreachable address > - This PR fixes callback URL selection to honor `PAPERCLIP_API_URL`, prefer LAN-reachable candidates, filter unreachable link-local addresses, and include interface hosts in onboarding invite URLs > - The benefit is SSH-based agents can reliably reach the Paperclip API on private networks without manual URL configuration ## What Changed - `runtime-api.ts`: Added `PAPERCLIP_API_URL` as a first-priority candidate in `buildRuntimeApiCandidateUrls`; extracted `collectReachableInterfaceHosts` to enumerate non-loopback, non-link-local network interface IPs with IPv4 preference - `server/src/index.ts`: Export `PAPERCLIP_API_URL` from the server environment so it is available to callback candidate resolution - `server/src/routes/access.ts`: Include LAN interface hosts in onboarding invite connection candidates - `server/src/config.ts`: Attempted auto-allowing LAN interface hosts, then reverted to the per-instance allowlist approach (both commits included for history clarity) ## Verification - `pnpm test` — all existing and new tests pass, including new tests for LAN candidate ordering and link-local filtering - `pnpm typecheck` — clean - Manual: start a Paperclip server on a machine with a LAN IP, create an SSH environment pointing to another host on the same LAN, verify the agent's callback URL uses the LAN IP rather than localhost ## Risks - Low-medium. The candidate list now includes more addresses (all non-loopback LAN interfaces). These are candidates for the agent to try, not an allowlist — the server's allowed hostnames still gate which origins are accepted. Ordering change (LAN preferred over loopback) could affect existing setups where localhost was intentionally preferred. ## 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 |
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Devin Foley
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9b99d30330 |
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 |
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Dotta
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3494e84a29 |
Add v2026.428.0 release changelog (#4665)
## Summary - Adds `releases/v2026.428.0.md` covering the diff between `v2026.427.0` and `origin/master` (seven merged PRs). - Generated via `.agents/skills/release-changelog/SKILL.md`. - Flags the additive migrations `0071_default_hire_approval_off` and `0072_large_sandman` plus the new-companies hire-approval default flip in the upgrade guide. ## Notes - Highlight: pause/resume actions in the sidebar agents panel ([#4616](https://github.com/paperclipai/paperclip/pull/4616)). - Improvements: assigned-todo recovery dispatch, recovery issue hardening, hire-approval opt-in default, inline selector keyboard handling. - Fixes: manual routine inbox visibility, stale company skill refresh rejection, stale stored company-selection cleanup. ## Test plan - [ ] Reviewer confirms section coverage and PR-to-bullet attribution. - [ ] Confirm the file lands at \`releases/v2026.428.0.md\`. - [ ] Confirm no canary suffix in title or filename. Source issue: [PAP-2599](/PAP/issues/PAP-2599) Co-authored-by: Paperclip <noreply@paperclip.ing> |
