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f2715e02bb |
fix(native): surface model capacity errors and retry automatically (#15347)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Native runs preserve provider events and results, then decide task state. > - Codex can fail a turn because the selected model is temporarily at capacity. > - Paperclip displayed a generic native-session failure and left the task in recovery. > - A known capacity failure needs a clear message and a durable delayed retry. > - This pull request uses committed terminal evidence, the status-effect ledger, and existing dispatch gates. > - The task can continue automatically without an unbounded retry loop or a model switch. ## Linked Issues or Issue Description Related: #13993 adds launcher capacity deferrals before provider startup. This change handles a committed native Codex `serverOverloaded` terminal after provider work has started. **What happened?** A native Codex turn ended with `codexErrorInfo: serverOverloaded` and “Selected model is at capacity. Please try a different model.” Paperclip saved the result, showed a generic failure, and required recovery instead of waiting and retrying. **Expected behavior** Show the capacity error directly. Schedule bounded retries after a short delay. Preserve saved work and honor current execution gates. **Steps to reproduce** 1. Run a native Codex task. 2. Commit a `turn.failed` event with `serverOverloaded`, then accept a failed result for the same turn. 3. Inspect the task error and its recovery state. The regression test reproduces this without a paid provider call. **Paperclip version or commit** Reproduced against master `16b7db35ffa0f9a95913c8cbdeea3d595435691f`. ## What Changed - Classify capacity failures from committed runner events and the pinned execution identity. Preserve accepted results and display the specific capacity error. - Atomically persist one scheduled successor with the status decision. Retry after one minute, then two minutes. Share the existing failure budget and stop after two automatic retries. - Reuse dispatch gates for ownership, task holds, dependencies, budget, and locks. Wait for predecessor execution, finalization, and cleanup before claiming a retry. - Preserve pending reviewer authority and suppress retries after reassignment or a successor claim. - Consume the failed run's resume receipt and delivered wake input. Rebuild ordinary continuation from the failed run so explicitly resumed tasks can retry without borrowing one-run authorization. - Label scheduled retries “Model at capacity.” Add a Storybook example and avoid duplicate punctuation in the existing retry card. - Add regression coverage and document the runtime contract. ## Verification - Targeted recovery and UI suites: 125 tests passed. Additional final cleanup and lock regressions passed. - Latest-head continuation and authorization regressions: 57 tests passed, including all four capacity integration tests against an isolated PostgreSQL database. - Rechecked all four capacity integration tests with the full runner's isolated `PAPERCLIP_HOME`, config, temporary directory, and serial fork settings: passed. - `pnpm -r typecheck`: passed. Final server typecheck passed. - `pnpm build`: passed. - `pnpm check:token-gates`: passed. - Browser: checked the real Storybook card. It shows the capacity message, automatic retry time, and existing Retry now action. - `pnpm test:run`: attempted and restarted after an interruption. The resumed run started before the final review correction and was stopped after recorded workspace/native test failures and the five-minute Git streaming timeout already documented on master. Exit 130; no complete local full-suite pass is claimed. Current-head isolated capacity tests and the complete CI suite pass. - A combined local recovery-suite attempt also hit PostgreSQL initialization failures at this macOS host's global shared-memory limit (32 slots). The focused recovery suites passed separately; final-head capacity tests also pass with the full runner's isolated environment settings. - Latest-head GitHub checks: all 56 checks green, including general and serialized test shards, browser E2E, typecheck, build, Runner verification, and canary dry run. No merge conflicts. - Greptile: 5/5 on `813a470b8c18c05aeb7e31e63e573c3a3a2f5cac`, with zero unresolved findings after fixing the resumed-task continuation issue. ## Risks - Capacity retries can repeat a task turn after partial work. They start a fresh provider session with task history and wait for predecessor cleanup. They do not resume the failed turn. - Retries retain the configured model unless an operator changes configuration. Persistent overload consumes the existing failure budget and then needs an explicit retry or model change. - Only run-bound native Codex `serverOverloaded` failures qualify. Usage-limit exhaustion, model/account incompatibility, unbound text, and unknown provider failures retain their current recovery behavior. - No schema migration is required. ## Model Used - OpenAI GPT-6 through Codex. The exact model ID and context-window size are not exposed to this session. Used reasoning, repository tools, code execution, and browser verification. No subagents. ## 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 - [ ] 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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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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5a0c1979cf | [codex] Add runtime lifecycle recovery and live issue visibility (#4419) | ||
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09d0678840 |
[codex] Harden heartbeat scheduling and runtime controls (#4223)
## Thinking Path > - Paperclip orchestrates AI agents through issue checkout, heartbeat runs, routines, and auditable control-plane state > - The runtime path has to recover from lost local processes, transient adapter failures, blocked dependencies, and routine coalescing without stranding work > - The existing branch carried several reliability fixes across heartbeat scheduling, issue runtime controls, routine dispatch, and operator-facing run state > - These changes belong together because they share backend contracts, migrations, and runtime status semantics > - This pull request groups the control-plane/runtime slice so it can merge independently from board UI polish and adapter sandbox work > - The benefit is safer heartbeat recovery, clearer runtime controls, and more predictable recurring execution behavior ## What Changed - Adds bounded heartbeat retry scheduling, scheduled retry state, and Codex transient failure recovery handling. - Tightens heartbeat process recovery, blocker wake behavior, issue comment wake handling, routine dispatch coalescing, and activity/dashboard bounds. - Adds runtime-control MCP tools and Paperclip skill docs for issue workspace runtime management. - Adds migrations `0061_lively_thor_girl.sql` and `0062_routine_run_dispatch_fingerprint.sql`. - Surfaces retry state in run ledger/agent UI and keeps related shared types synchronized. ## Verification - `pnpm exec vitest run server/src/__tests__/heartbeat-retry-scheduling.test.ts server/src/__tests__/heartbeat-process-recovery.test.ts server/src/__tests__/routines-service.test.ts` - `pnpm exec vitest run src/tools.test.ts` from `packages/mcp-server` ## Risks - Medium risk: this touches heartbeat recovery and routine dispatch, which are central execution paths. - Migration order matters if split branches land out of order: merge this PR before branches that assume the new runtime/routine fields. - Runtime retry behavior should be watched in CI and in local operator smoke tests because it changes how transient failures are resumed. > 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 runtime, shell/git tool use enabled. Exact hosted model build and context window are not exposed in this Paperclip heartbeat 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 - [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 |