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DottaandPaperclip 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>
2026-07-09 16:29:30 -05:00
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
2026-05-03 13:01:34 -07:00
DottaandPaperclip 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>
2026-04-24 09:40:40 -05:00