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codex/plugin-task-execution
3
Commits
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8b6a06ee25 |
[codex] Add built-in agents and Reflection Coach bundle (#9206)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Operators need first-party agent capabilities for repeatable company work, not just manually created one-off agents. > - Built-in agents need to behave like normal company-scoped agents while preserving approval gates, permissions, budgets, and audit trails. > - Reflection and coaching work also needs bundled instructions, skill content, and a routine so the feature can be installed and reset predictably. > - The API, database, UI, portability, and tests all need to agree on the built-in lifecycle from not provisioned through setup, approval, ready, paused, and reset. > - This pull request adds built-in agent provisioning and the Reflection Coach bundle end-to-end. > - The benefit is a safer first-party path for Paperclip-managed agents without bypassing the same governance model used for operator-created agents. ## Linked Issues or Issue Description No public GitHub issue was found for this exact built-in agent and Reflection Coach bundle work. Problem/motivation: - Paperclip did not have a first-party built-in agent lifecycle for product-owned agents. - Bundled agent resources such as default instructions, skills, and routines needed managed ownership and reset semantics. - Approval-gated companies needed built-in setup to preserve requested adapter, budget, manager, and permission state through board approval. - The board UI needed clear built-in badges, setup affordances, readiness state, and bundle status without exposing secrets. Proposed solution: - Add a company-scoped built-in agent registry, provisioning/reset/reconcile/status APIs, and Reflection Coach bundled resources. - Track bundled managed resources in the database with idempotent migration behavior. - Reuse existing agent approval, authorization, budget, and activity-log paths instead of creating a bypass. - Add UI setup, badges, gates, bundle panels, and route coverage for built-in agents. Duplicate search: - Searched GitHub PRs for `built-in agents Reflection Coach repo:paperclipai/paperclip`; only this PR was returned. - Searched GitHub issues for the same query; no public issues were returned. ## What Changed - Added built-in agent definitions, lifecycle state derivation, provisioning, reset, reconcile, status, and routine-control routes. - Added the `built_in_managed_resources` migration and schema exports for bundled instructions, skill, and routine ownership. - Added the Reflection Coach built-in bundle with default instructions, skill catalog content, routine template, default permissions, and managed-resource drift handling. - Added approval-aware provisioning behavior that preserves requested adapter config, budgets, manager assignment, and built-in permissions through hire approval. - Added authorization and mutation gates for built-in agent and skill changes, including consented Reflection Coach change paths. - Added UI surfaces for built-in agent setup, roster/detail badges, readiness gates, bundle status, routine controls, and route filtering. - Added company import/export and validator coverage for built-in managed resources and low-trust/red-team presets. - Addressed Greptile follow-ups for pending approval reconciliation, consent-gate error propagation, config-read authorization fallback, approval-path manager preservation, and non-model adapter provisioning. ## Verification Local verification: - `git diff --check public/master..HEAD` passed. - `pnpm check:token-gates` passed with all gates clean. - `pnpm exec vitest run ui/src/components/ConfigureBuiltInAgentModal.test.tsx` passed: 1 file, 4 tests. - `pnpm exec vitest run ui/src/components/EntityRow.test.tsx ui/src/pages/Agents.test.tsx ui/src/components/BuiltInAgentGate.test.tsx ui/src/components/ConfigureBuiltInAgentModal.test.tsx ui/src/components/BuiltInBundlePanel.test.tsx ui/src/pages/InstanceExperimentalSettings.test.tsx ui/src/pages/Routines.test.tsx` passed: 7 files, 64 tests. - `pnpm --filter @paperclipai/server exec vitest run src/__tests__/built-in-agents.test.ts src/__tests__/authorization-service.test.ts src/__tests__/company-skills-routes.test.ts` passed: 3 files, 91 tests. - `pnpm --filter @paperclipai/db check:migrations` passed. - `pnpm -r typecheck` passed after the rebase; `pnpm --filter ui typecheck` passed after the final UI review fix. Remote verification on latest head `1c61f693a4ec881d739022b0e75a8ca8bf8c2cd8`: - Merge state: `CLEAN`. - Greptile: `5/5`, zero unresolved Greptile threads. - PR check rollup: all checks successful, neutral, or skipped as expected. - Passing gates include Build, Typecheck + Release Registry, all server shards, all workspace shards, all serialized server suites, e2e, Canary Dry Run, policy, review, verify, Socket, Superagent, and Snyk. ## Risks - This adds a new managed-resource table and migration; the migration uses idempotent create/add/index guards and passed migration safety checks. - Built-in agent provisioning touches approval and authorization paths; tests cover pending approval preservation, stale retry rejection, consent gates, and config-read fallback behavior. - Reflection Coach creates managed instructions, skill, and routine resources; drift/reset behavior is covered by service tests and redacted API responses. - Non-model adapter setup now provisions a `needs_setup` built-in row before command/endpoint fields are complete; this matches the server lifecycle and is covered by the setup modal regression test. ## Model Used OpenAI Codex coding agent based on GPT-5. Exact hosted model ID, context-window size, and reasoning-mode labels are not exposed in this runtime; tool use, shell execution, GitHub CLI/API access, and local code editing were enabled. ## 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 searched GitHub for duplicate or related PRs and linked them above - [x] I have either (a) linked existing issues with `Fixes: #` / `Closes #` / `Refs #` OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip` URLs) - [x] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details - [x] I have run tests locally and they pass - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: Paperclip <noreply@paperclip.ing> |
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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 |
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8f1cd0474f |
[codex] Improve transient recovery and Codex model refresh (#4383)
## Thinking Path > - Paperclip orchestrates AI agents for zero-human companies > - Adapter execution and retry classification decide whether agent work pauses, retries, or recovers automatically > - Transient provider failures need to be classified precisely so Paperclip does not convert retryable upstream conditions into false hard failures > - At the same time, operators need an up-to-date model list for Codex-backed agents and prompts should nudge agents toward targeted verification instead of repo-wide sweeps > - This pull request tightens transient recovery classification for Claude and Codex, updates the agent prompt guidance, and adds Codex model refresh support end-to-end > - The benefit is better automatic retry behavior plus fresher operator-facing model configuration ## What Changed - added Codex usage-limit retry-window parsing and Claude extra-usage transient classification - normalized the heartbeat transient-recovery contract across adapter executions and heartbeat scheduling - documented that deferred comment wakes only reopen completed issues for human/comment-reopen interactions, while system follow-ups leave closed work closed - updated adapter-utils prompt guidance to prefer targeted verification - added Codex model refresh support in the server route, registry, shared types, and agent config form - added adapter/server tests covering the new parsing, retry scheduling, and model-refresh behavior ## Verification - `pnpm exec vitest run --project @paperclipai/adapter-utils packages/adapter-utils/src/server-utils.test.ts` - `pnpm exec vitest run --project @paperclipai/adapter-claude-local packages/adapters/claude-local/src/server/parse.test.ts` - `pnpm exec vitest run --project @paperclipai/adapter-codex-local packages/adapters/codex-local/src/server/parse.test.ts` - `pnpm exec vitest run --project @paperclipai/server server/src/__tests__/adapter-model-refresh-routes.test.ts server/src/__tests__/adapter-models.test.ts server/src/__tests__/claude-local-execute.test.ts server/src/__tests__/codex-local-execute.test.ts server/src/__tests__/heartbeat-process-recovery.test.ts server/src/__tests__/heartbeat-retry-scheduling.test.ts` ## Risks - Moderate behavior risk: retry classification affects whether runs auto-recover or block, so mistakes here could either suppress needed retries or over-retry real failures - Low workflow risk: deferred comment wake reopening is intentionally scoped to human/comment-reopen interactions so system follow-ups do not revive completed issues unexpectedly > 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-based coding agent with tool use and code execution in the Codex CLI 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 - [ ] 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 --------- Co-authored-by: Paperclip <noreply@paperclip.ing> |