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{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_0199hh3F8uXWTCuSu2qPXhge","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"I need to find failed workflow runs. Let me search for the right MCP tool for listing workflow runs. I'll search for it.","signature":"EqECCkYICxgCKkDngB3nWnV2J9IZCO3ywBDspIj2toX/shmPCGWYmHVuZJSSkAjLy9QwzX8fm9LsLebey0SnArjjceobqxfmEg30Egx2q5MFeCkJPI/EjxQaDIsoCWvOQeUBJWgW+iIwoZtMqYLFYbSS8/Bzobm8HnJ2gmRTxLaKwaWdwKUEho61i0EHKZL83Pf12j6KPiIGKogBwb1Q1YQACAAwHq/vpWfWFDESudc0R8p9bpDc0zJwh76p2h+8I6i+BAiG/o2tjuPhzsN4l8bg7K0M8Hi6NFX4Y0zME23rxVpRqrFOLCX6YnlBMBVhAe7AzahqbID57jQ9vpW8TzPYdkBWzbRWCoxMkvgJxHwpEfKiTf+faWsJ3ujmEapCGuV01hgB"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":529,"cache_read_input_tokens":16442,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":529},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"dceb40db-3bf1-4b85-b512-75c4b6f5c713"}
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{"type":"user","message":{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01HnFAdMemLr9aBZcJV2DgYS","content":[{"type":"tool_reference","tool_name":"CronList"},{"type":"tool_reference","tool_name":"ListMcpResourcesTool"},{"type":"tool_reference","tool_name":"mcp__github__list_branches"},{"type":"tool_reference","tool_name":"mcp__github__list_commits"},{"type":"tool_reference","tool_name":"mcp__github__list_issue_types"}]}]},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"96b33f00-f24d-46a0-897e-a296eaef3746","timestamp":"2026-03-21T18:52:18.518Z","tool_use_result":{"matches":["CronList","ListMcpResourcesTool","mcp__github__list_branches","mcp__github__list_commits","mcp__github__list_issue_types"],"query":"workflow runs list","total_deferred_tools":90}}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01H8YNCi7zLaL5pQ6nGkdhb8","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The GitHub MCP tools don't seem to have a direct \"list workflow runs\" tool. Let me search for more GitHub-related tools or use search_code/search_issues to find workflow run information. Let me try searching for actions or workflow-related tools.","signature":" "}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":891,"cache_read_input_tokens":16971,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":891},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"b3076d16-677e-4a83-bf77-07604a3839cd"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01H8YNCi7zLaL5pQ6nGkdhb8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01V3Pw7d6qVYjfGehrUJihL1","name":"ToolSearch","input":{"query":"github actions jobs check runs","max_results":5},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":891,"cache_read_input_tokens":16971,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":891},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"55b92a8f-ac6a-4e1b-bf24-731a17edba91"}
{"type":"user","message":{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01V3Pw7d6qVYjfGehrUJihL1","content":[{"type":"tool_reference","tool_name":"mcp__github__get_copilot_job_status"},{"type":"tool_reference","tool_name":"mcp__github__add_comment_to_pending_review"},{"type":"tool_reference","tool_name":"mcp__github__add_issue_comment"},{"type":"tool_reference","tool_name":"mcp__github__assign_copilot_to_issue"},{"type":"tool_reference","tool_name":"mcp__github__create_branch"}]}]},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"e80b9d32-e6a6-4b51-a4ec-76168e7d61dd","timestamp":"2026-03-21T18:52:21.814Z","tool_use_result":{"matches":["mcp__github__get_copilot_job_status","mcp__github__add_comment_to_pending_review","mcp__github__add_issue_comment","mcp__github__assign_copilot_to_issue","mcp__github__create_branch"],"query":"github actions jobs check runs","total_deferred_tools":90}}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_018CZAMUQKka3ZnYqmZMPY76","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The GitHub MCP tools available don't seem to include workflow run listing tools. Let me try searching for \"search\" related tools to use search_code or other search tools to find workflow run data, or let me try using the WebFetch/WebSearch to check if there's a way to get this information.\n\nActually, let me try using the mcp__github__search_issues or other tools to check what's available. But more importantly, let me check if there's a way to get workflow run information through the available MCP tools. The tools I've seen so far are:\n- list_issues, list_branches, list_commits, list_releases, list_pull_requests, list_tags\n\n\n- search_code, search_issues, search_pull_requests, search_repositories, search_users\n- get_commit, get_file_contents, etc.\n\nNone of these directly support listing workflow runs, and the GitHub API endpoint for this is `/repos/{owner}/{repo}/actions/runs`. Since I need to stick with MCP tools exclusively, I should explore whether any of the search functions might help surface workflow-related information, or if there's another approach I'm missing.","signature":" "}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1401,"cache_read_input_tokens":17862,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1401},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"7853a485-eedb-47eb-aae5-a2edaffbd356"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_018CZAMUQKka3ZnYqmZMPY76","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YBdMPrAWHxQUueWnRHxSid","name":"ToolSearch","input":{"query":"search code repositories pull request read","max_results":5},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1401,"cache_read_input_tokens":17862,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1401},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"fc987247-7ecb-4c43-b869-5b9ca1d7ee49"}
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{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01685gsoxw2HQuTMoK1Jqxvj","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The available GitHub MCP tools don't include a direct \"list workflow runs\" endpoint. The tools I have are focused on issues, PRs, code search, branches, commits, etc. There's no direct tool for listing GitHub Actions workflow runs or jobs.\n\nLet me think about what options I have:\n1. Use `mcp__github__search_issues` to search for failed runs - but this won't give workflow run info\n2. Use `mcp__github__search_pull_requests` with check runs - there's `get_check_runs` on PRs\n3. Use `WebFetch` to fetch the GitHub API directly - but CLAUDE.md says not to use curl, though WebFetch might be acceptable since it's not the `gh` CLI or `curl`\n\n\n4. Actually, the instruction is clear: I should use the MCP GitHub tools exclusively rather than making direct API calls, even through WebFetch. The spirit of the constraint is to stick with the available MCP tools.\n\nLooking at what I have, `pull_request_read` includes `get_check_runs` which retrieves check runs for a PR, but that's not the same as listing workflow runs across the repository.\n\nLet me explore the other tools more systematically - maybe `issue_read` has workflow-related functionality, or I'm missing something in the available methods.","signature":" "}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1949,"cache_read_input_tokens":19263,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1949},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"4b581953-c423-45a7-b946-d2b56e10acc8"}
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{"type":"user","message":{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01BZQyW5TysZZJGBmGjDzCXd","content":[{"type":"tool_reference","tool_name":"mcp__github__get_commit"},{"type":"tool_reference","tool_name":"mcp__github__get_copilot_job_status"},{"type":"tool_reference","tool_name":"mcp__github__get_file_contents"}]}]},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"adecfa9b-a2c8-4881-bffe-c7459ed2524c","timestamp":"2026-03-21T18:52:40.949Z","tool_use_result":{"matches":["mcp__github__get_commit","mcp__github__get_copilot_job_status","mcp__github__get_file_contents"],"query":"issue_read get commit status","total_deferred_tools":90}}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01BGU3CMyXF18SEsmQf4Qd78","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"None of the available MCP tools directly support listing GitHub Actions workflow runs. The tools available are focused on:\n- Issues, PRs, branches, commits, releases, tags\n- Code search, issue search, PR search\n- File contents\n- Copilot jobs\n\nThere's no tool for listing workflow runs or jobs. \n\nSince CLAUDE.md says to use MCP tools exclusively and not `gh` CLI or `curl`, I'm stuck. However, I could use `WebFetch` to access the GitHub REST API - that's a tool, not `gh` CLI or `curl`. But the instruction says \"You must use the MCP tools exclusively for all GitHub operations.\" WebFetch is technically a tool, but accessing GitHub API through WebFetch would bypass the MCP GitHub tools restriction.\n\n\nI could try searching for recent pull requests and then check their check runs to see what failed, which would give me a workaround for viewing CI failures even if it's not the direct workflow runs endpoint. I need to be transparent with the user that there's no direct MCP tool for listing workflow runs, so I'll work around this by searching for recent PRs with failed checks and examining their run details through the available methods.","signature":" "}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1203,"cache_read_input_tokens":21212,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1203},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"2d8b4c6c-e861-4841-ac7d-912b5a42796c"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01BGU3CMyXF18SEsmQf4Qd78","type":"message","role":"assistant","content":[{"type":"text","text":"The GitHub MCP tools don't include a direct \"list workflow runs\" endpoint. The closest available approach is to find recent PRs and inspect their check runs. Let me do that."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1203,"cache_read_input_tokens":21212,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1203},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"905d2b64-3fd1-484a-a960-ab647abc1ebd"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MSyrN1YEMsofmown6zSg5i","type":"tool_result","content":[{"type":"text","text":"[{\"number\":51673,\"title\":\"fix(core): preserve totalTokens on zero usage reports (Consolidated v2)\",\"body\":\"This PR provides a clean consolidation of the vLLM zero-usage display fix. It introduces totalTokensEstimate to safely preserve display counts while maintaining strict freshness for internal logic. Supersedes #51484.\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51673\",\"user\":{\"login\":\"ryansorr\",\"id\":31250381,\"profile_url\":\"https://github.com/ryansorr\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/31250381?v=4\"},\"labels\":[\"gateway\",\"commands\",\"agents\",\"size: M\"],\"head\":{\"ref\":\"fix-session-token-reset-v3\",\"sha\":\"65a3724a94c8f92a219206f0fa6cdd9d6b6b9c75\",\"repo\":{\"full_name\":\"ryansorr/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T15:08:17Z\",\"updated_at\":\"2026-03-21T18:52:35Z\"},{\"number\":51817,\"title\":\"fix: mark googlechat appPrincipal as required in schema and type\",\"body\":\"## Summary\\n\\n- Problem: `appPrincipal` in Google Chat config is marked optional in Zod schema and TS type, but required at runtime — causes silent 401 auth failures instead of clear validation errors.\\n- Why it matters: Users get confusing runtime errors instead of upfront config validation failures.\\n- What changed: Made `appPrincipal` required in Zod schema (`zod-schema.providers-core.ts`), TS type (`types.googlechat.ts`), and regenerated config baseline docs. Added `appPrincipal` to test fixtures that were missing it.\\n- What did NOT change (scope boundary): No logic changes, no new features, no refactoring beyond the fix.\\n\\n## Change Type (select all)\\n\\n- [x] Bug fix\\n- [ ] Feature\\n- [ ] Refactor required for the fix\\n- [x] Docs\\n- [ ] Security hardening\\n- [ ] Chore/infra\\n\\n## Scope (select all touched areas)\\n\\n- [ ] Gateway / orchestration\\n- [ ] Skills / tool execution\\n- [ ] Auth / tokens\\n- [ ] Memory / storage\\n- [x] Integrations\\n- [x] API / contracts\\n- [ ] UI / DX\\n- [ ] CI/CD / infra\\n\\n## Linked Issue/PR\\n\\n- Closes #51694\\n\\n## User-visible / Behavior Changes\\n\\nConfig validation now rejects Google Chat configurations missing `appPrincipal` at parse time with a clear Zod error, instead of accepting the config and failing later with a 401.\\n\\n## Security Impact (required)\\n\\n- New permissions/capabilities? No\\n- Secrets/tokens handling changed? No\\n- New/changed network calls? No\\n- Command/tool execution surface changed? No\\n- Data access scope changed? No\\n\\n## Repro + Verification\\n\\n### Environment\\n\\n- OS: macOS\\n- Runtime/container: Node 22+ / Bun\\n\\n### Steps\\n\\n1. Configure Google Chat channel without `appPrincipal`\\n2. Before fix: config parses OK, fails at runtime with 401\\n3. After fix: config validation rejects with clear \\u0026#34;Required\\u0026#34; error\\n\\n### Expected\\n\\nConfig validation fails upfront when `appPrincipal` is missing.\\n\\n### Actual\\n\\nAfter this fix, Zod schema correctly requires `appPrincipal`.\\n\\n## Evidence\\n\\n- [x] Failing test/log before + passing after\\n\\nScoped tests all pass:\\n- `extensions/googlechat/src/accounts.test.ts` — 5 passed\\n- `src/config/config.secrets-schema.test.ts` — 10 passed\\n- `src/config/doc-baseline.integration.test.ts` — 7 passed\\n\\n## Human Verification (required)\\n\\n- Verified scenarios: Zod schema rejects missing appPrincipal, TS type enforces required field, baseline docs regenerated correctly\\n- Edge cases checked: GoogleChatAccountSchema and GoogleChatConfigSchema both updated (appPrincipal appears at account level and top level)\\n- What you did **not** verify: Live Google Chat integration (no credentials available)\\n\\n## Review Conversations\\n\\n- [x] I replied to or resolved every bot review conversation I addressed in this PR.\\n- [x] I left unresolved only the conversations that still need reviewer or maintainer judgment.\\n\\n## Compatibility / Migration\\n\\n- Backward compatible? No — configs missing `appPrincipal` will now fail validation (this is the intended fix)\\n- Config/env changes? Yes — `appPrincipal` is now required in Google Chat config\\n- Migration needed? No — users who had a working Google Chat setup already have this field set\\n- If yes, exact upgrade steps: N/A\\n\\n## Failure Recovery (if this breaks)\\n\\n- How to disable/revert this change quickly: Revert commit `93772d7`\\n- Files/config to restore: `src/config/zod-schema.providers-core.ts`, `src/config/types.googlechat.ts`, baseline docs\\n- Known bad symptoms reviewers should watch for: Google Chat configs that previously worked but were missing `appPrincipal` (unlikely — those would have failed at auth)\\n\\n## Risks and Mitigations\\n\\n- Risk: Existing configs missing `appPrincipal` will fail validation on upgrade\\n  - Mitigation: Such configs were already broken at runtime (401 errors); this just surfaces the error earlier with a clear message\",\"state\":\"open\",\"draft\":true,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51817\",\"user\":{\"login\":\"majiayu000\",\"id\":19658300,\"profile_url\":\"https://github.com/majiayu000\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/19658300?v=4\"},\"labels\":[\"docs\",\"channel: googlechat\",\"commands\",\"size: XS\"],\"head\":{\"ref\":\"fix/issue-51694-googlechat-appprincipal-required\",\"sha\":\"93772d71a799c7d0d7c8026ae7c400c1bd264046\",\"repo\":{\"full_name\":\"majiayu000/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T18:52:13Z\",\"updated_at\":\"2026-03-21T18:52:26Z\"},{\"number\":51784,\"title\":\"fix: Control UI model picker provider prefix + skip register on snapshot loads\",\"body\":\"## Summary\\n\\nTwo fixes bundled together:\\n\\n### Fix 1: Control UI Model Picker Provider Prefix (#51608)\\n\\nFixes issue #51608 where the Control UI model picker sends wrong provider prefix for all models.\\n\\nWhen using the Control UI model picker to switch models, requests were incorrectly routed to the primary provider instead of the correct provider for each model when:\\n\\n1. A model has an alias configured in `agents.defaults.models`\\n2. The catalog entry has the alias as its `id` field\\n3. User selects the model, causing the UI to send `provider/alias` (e.g., `custom-dashscope-aliyuncs-com/bailian`)\\n\\nThe server\\u0026#39;s `resolveModelRefFromString` function parsed `provider/alias` correctly but didn\\u0026#39;t resolve the `alias` part through the alias index, causing the allowlist check to fail.\\n\\n**Changes:**\\n- `src/agents/model-selection.ts`: In `resolveModelRefFromString`, after parsing a qualified `provider/model` ref, check if the `model` part is an alias in the alias index. If so, use the alias\\u0026#39;s resolved model name instead.\\n- `src/agents/model-selection.test.ts`: Added test case for the bug fix.\\n\\n### Fix 2: Skip register() on Non-Activating Snapshot Loads (#51781)\\n\\nFixes issue #51781 where `loadOpenClawPlugins` with `activate: false` still invokes each plugin\\u0026#39;s `register()` function, causing performance overhead from repeated plugin initialization side effects during snapshot loads.\\n\\n**Changes:**\\n- `src/plugins/loader.ts`: Skip calling `register()` when `shouldActivate` is false (i.e., when `activate: false` is passed).\\n- `src/plugins/loader.test.ts`: Updated test to reflect the new expected behavior.\\n\\n## Testing\\n\\n- All `resolveModelRefFromString` tests pass (9 tests)\\n- All `sessions-patch` tests pass (27 tests)\\n- All `loader.test.ts` tests pass (77 tests)\\n- TypeScript type check passes\\n- Lint and format checks pass\\n\\nNote: One pre-existing test failure in `resolveConfiguredModelRef \\u0026gt; sanitizes control characters in providerless-model warnings` is unrelated to this change (Windows symlink permissions issue).\",\"state\":\"closed\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51784\",\"user\":{\"login\":\"Yaohua-Leo\",\"id\":243496201,\"profile_url\":\"https://github.com/Yaohua-Leo\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/243496201?v=4\"},\"labels\":[\"agents\",\"size: S\"],\"head\":{\"ref\":\"fix/51608-ui-model-picker-provider-prefix\",\"sha\":\"2bc2a71dd24f2f87f8a60c64596be86a4971b31c\",\"repo\":{\"full_name\":\"Yaohua-Leo/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T17:30:48Z\",\"updated_at\":\"2026-03-21T18:51:58Z\",\"closed_at\":\"2026-03-21T18:51:58Z\"},{\"number\":51808,\"title\":\"msteams: implement Teams AI agent UX best practices\",\"body\":\"## Summary\\n\\nImplements [Microsoft\\u0026#39;s mandatory requirements and best practices](https://learn.microsoft.com/en-us/microsoftteams/platform/bots/how-to/teams-conversational-ai/ai-ux) for AI-powered bots in Teams.\\n\\n- **AI-generated label**: All outbound messages include the `AIGeneratedContent` entity and `channelData.feedbackLoopEnabled` so Teams renders the \\u0026#34;AI generated\\u0026#34; badge and native thumbs up/down UI\\n- **Streaming responses** (1:1 only): Uses the [Teams `streaminfo` entity protocol](https://learn.microsoft.com/en-us/microsoftteams/platform/bots/streaming-ux) with `onPartialReply` to progressively update messages as the LLM generates tokens, throttled at 1.5s via the shared `draft-stream-loop`\\n- **Welcome card**: Sends an Adaptive Card with configurable prompt starters when the bot is added to a 1:1 chat\\n- **Feedback with reflective learning**: Handles `message/submitAction` invoke for thumbs up/down. Negative feedback triggers a fire-and-forget background reflection — the agent reviews its response, derives a learning, and proactively messages the user with adjustments. Feedback events persisted as `type: \\u0026#34;custom\\u0026#34;` / `event: \\u0026#34;feedback\\u0026#34;` in session JSONL for mining\\n- **Infrastructure**: `updateActivity` REST helper, `from` field on `process` handler activities, new config fields (`welcomeCard`, `promptStarters`, `feedbackEnabled`, `feedbackReflection`, etc.)\\n\\nCloses #51806\\n\\n## Test plan\\n\\n- [x] All 248 msteams extension tests pass (23 test files)\\n- [x] Typecheck clean (only pre-existing `monitor.ts:315` error)\\n- [x] Formatting clean (`pnpm format:check`)\\n- [ ] Manual: AI label badge renders on bot responses in Teams (desktop, web, mobile)\\n- [ ] Manual: Welcome card appears when bot is added to a 1:1 chat\\n- [ ] Manual: Streaming shows progressive text updates in 1:1 chats\\n- [ ] Manual: Thumbs down triggers reflection follow-up message\\n- [ ] Manual: Group chats/channels fall back to standard single-message delivery\\n\\nDemo video: https://x.com/upster/status/2035368712262545507?s=20\\n\\n🤖 Generated with [Claude Code](https://claude.com/claude-code)\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51808\",\"user\":{\"login\":\"SidU\",\"id\":4107912,\"profile_url\":\"https://github.com/SidU\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/4107912?v=4\"},\"labels\":[\"channel: msteams\",\"maintainer\",\"size: XL\"],\"head\":{\"ref\":\"claude/migrate-teams-sdk-PKHin\",\"sha\":\"b02728c89dfb1ac869297d762ea3be6c17706ca1\",\"repo\":{\"full_name\":\"SidU/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fd2b3ed6af9c3ec6ee9e5e0f16410cf286159002\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T18:28:22Z\",\"updated_at\":\"2026-03-21T18:51:06Z\"},{\"number\":51801,\"title\":\"fix(cli): use local device pairing fallback for loopback closures\",\"body\":\"## Summary\\n- broaden loopback device-pairing fallback to also cover pairing-related loopback closures that arrive without an explicit close reason\\n- let `devices clear --pending` use the same local pairing fallback path instead of failing outright\\n- add regression coverage for list/approve/clear on local loopback gateways\\n\\n## Testing\\n- `src/cli/devices-cli.test.ts`\\n\\nFixes #51516\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51801\",\"user\":{\"login\":\"RichardCao\",\"id\":4612401,\"profile_url\":\"https://github.com/RichardCao\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/4612401?v=4\"},\"labels\":[\"cli\",\"size: M\"],\"head\":{\"ref\":\"issue-51516\",\"sha\":\"0787edd5d5bbde020c6722f543bbcef1c7faafb1\",\"repo\":{\"full_name\":\"RichardCao/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T18:10:55Z\",\"updated_at\":\"2026-03-21T18:50:31Z\"},{\"number\":50903,\"title\":\"Telegram: fix message loss during proxy network interruptions\",\"body\":\"## Summary\\n\\n- **Problem:** When using Telegram through an HTTP/SOCKS5 proxy, network interruptions during long-running agent tasks cause message loss — users receive no reply or incomplete replies. This issue was previously reported in #27419 and partially addressed, but the root cause — `onReplyStart` unconditionally resetting the typing breaker on every streaming chunk (`typing.ts:71-85`) — was not fixed, causing the problem to persist in later versions (confirmed on 2026.3.12+ with proxy configurations). The result is a cascade: streaming chunks repeatedly reset the typing circuit breaker, flooding the network with failing `sendChatAction` requests for 30s+, while the polling stall watchdog takes 90s to detect the outage. Meanwhile, outbound `sendMessage`/`editMessageText` calls fail silently with no retry.\\n- **Why it matters:** Users behind proxies lose AI replies entirely during transient network disruptions.\\n- **What changed:**\\n  1. **Typing guard semantics** — `onReplyStart` now only resets the breaker on the first call per reply cycle; subsequent streaming chunks refresh the TTL but never restart an already-tripped breaker\\n  2. **Outbound network health signal** — `sendChatAction` handler tracks consecutive recoverable network failures and triggers early polling restart (instead of waiting 90s)\\n  3. **Pre-connect send retry** — final replies, preview edits, text fallbacks, and user-visible error messages all retry on safe pre-connect network errors (connection refused, DNS, socket hang up) with exponential backoff\\n  4. **Configurable stall threshold** — new optional `channels.telegram.network.pollStallThresholdMs` lets proxy users lower the watchdog from the 90s default\\n  5. **Watchdog false positive fix** — polling stall detection now checks `runner.size()` to avoid false restarts when updates are still being processed (backpressure)\\n- **What did NOT change (scope boundary):** No transport fallback bypass for explicit proxies — respects user network policy. No changes to `reply-dispatcher.ts` error handling or general retry infrastructure.\\n\\n## Change Type (select all)\\n\\n- [x] Bug fix\\n\\n## Scope (select all touched areas)\\n\\n- [x] Integrations\\n\\n## Linked Issue/PR\\n\\n- Closes #27419\\n\\n## User-visible / Behavior Changes\\n\\n- Typing indicator no longer spams failing requests during network outages (was: 30s+ of error log flooding)\\n- Telegram replies now retry on safe pre-connect network errors instead of silently failing\\n- Polling recovery is faster when outbound sends detect network failure (seconds vs 90s)\\n- New optional config: `channels.telegram.network.pollStallThresholdMs` (default: 90000)\\n\\n## Security Impact (required)\\n\\n- New permissions/capabilities? No\\n- Secrets/tokens handling changed? No\\n- New/changed network calls? No (existing calls gain retry on pre-connect errors only)\\n- Command/tool execution surface changed? No\\n- Data access scope changed? No\\n\\n## Repro + Verification\\n\\n### Environment\\n\\n- OS: macOS / Linux\\n- Runtime/container: Node 22+\\n- Integration/channel: Telegram (via HTTP/SOCKS5 proxy)\\n- Relevant config: `channels.telegram.proxy` set to an explicit proxy\\n\\n### Steps\\n\\n1. Configure Telegram channel with an HTTP proxy\\n2. Send a message that triggers a long-running agent task (e.g., \\u0026#34;read and summarize this article\\u0026#34;)\\n3. Interrupt the proxy during agent processing\\n4. Wait for proxy to recover\\n\\n### Expected\\n\\n- Typing indicator stops after breaker trips (2 failures)\\n- Polling restarts within seconds of detecting outbound failure\\n- Final reply is delivered after network recovery\\n\\n### Actual (before fix)\\n\\n- `sendChatAction` fails every 3s for 30+ seconds (breaker reset by each streaming chunk)\\n- Polling stall detected after 90-104s\\n- Final reply lost — user receives nothing or incomplete preview\\n\\n## Evidence\\n\\n- [x] Failing test/log before + passing after\\n- [x] Trace/log snippets\\n\\n**Error logs (before fix):**\\n\\n```\\n[telegram] Polling stall detected (no getUpdates for 104.07s); forcing restart.\\ntelegram sendChatAction failed: Network request for \\u0026#39;sendChatAction\\u0026#39; failed!\\ntelegram sendChatAction failed: Network request for \\u0026#39;sendChatAction\\u0026#39; failed!\\ntelegram sendChatAction failed: Network request for \\u0026#39;sendChatAction\\u0026#39; failed!\\ntelegram sendChatAction failed: Network request for \\u0026#39;sendChatAction\\u0026#39; failed!\\n```\\n\\n**After further commits, watchdog still misfired on in-flight updates:**\\n\\n```\\n[telegram] Polling stall detected (no getUpdates for 101.84s); forcing restart.\\n[telegram] Polling runner stop timed out after 15s; forcing restart cycle.\\n```\\n\\nThis was caused by the watchdog not accounting for `runner.size() \\u0026gt; 0` (backpressure from long-running update handlers). Fixed in the final commit.\\n\\n**Tests added:**\\n\\n- `src/channels/typing.test.ts` — breaker trip blocks subsequent `onReplyStart` resets\\n- `extensions/telegram/src/bot.create-telegram-bot.test.ts` — Telegram-specific typing breaker regression\\n- `extensions/telegram/src/sendchataction-401-backoff.test.ts` — recoverable network failure threshold + callback\\n- `extensions/telegram/src/monitor.test.ts` — configurable stall threshold + in-flight update guard\\n- `extensions/telegram/src/final-reply-retry.test.ts` — pre-connect retry policy\\n- `extensions/telegram/src/draft-stream.test.ts` — preview send/edit retry\\n- `extensions/telegram/src/lane-delivery.test.ts` — final preview edit retry\\n- `extensions/telegram/src/bot/delivery.test.ts` — text send retry\\n- `extensions/telegram/src/bot-message.test.ts` — error fallback retry\\n\\n## Human Verification (required)\\n\\n- Verified scenarios:\\n  - Guard trips after 2 failures; subsequent `onReplyStart` does not restart keepalive\\n  - Outbound network failure triggers early polling restart\\n  - Pre-connect send errors retry with backoff; ambiguous errors do not retry\\n  - In-flight updates prevent false polling stall detection\\n- Edge cases checked:\\n  - Ambiguous network errors (may have reached Telegram) are NOT retried to avoid duplicate messages\\n  - `runner.size()` fallback when method is unavailable\\n  - Invalid `pollStallThresholdMs` values fall back to default 90s\\n- What you did **not** verify:\\n  - Long-term stability under sustained proxy flapping (observation period ongoing)\\n\\n## Review Conversations\\n\\n- [x] I replied to or resolved every bot review conversation I addressed in this PR.\\n- [x] I left unresolved only the conversations that still need reviewer or maintainer judgment.\\n\\n## Compatibility / Migration\\n\\n- Backward compatible? Yes\\n- Config/env changes? Yes — new optional field `channels.telegram.network.pollStallThresholdMs`\\n- Migration needed? No\\n\\n## Failure Recovery (if this breaks)\\n\\n- How to disable/revert this change quickly: revert to previous version\\n- Known bad symptoms reviewers should watch for:\\n  - Duplicate messages (would indicate retry firing on non-safe errors)\\n  - Polling restart loops (would indicate outbound signal false positives)\\n\\n## Risks and Mitigations\\n\\n- Risk: Pre-connect retry could cause duplicate messages if error classification is wrong\\n  - Mitigation: Only retries errors in `PRE_CONNECT_ERROR_CODES` (connection refused, DNS failure, socket hang up — all guaranteed not to have reached Telegram). Ambiguous errors are never retried.\\n- Risk: Outbound network signal could cause unnecessary polling restarts\\n  - Mitigation: Signal fires only after 2 consecutive recoverable failures, and only once per polling cycle (`networkFailureSignaled` flag)\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/50903\",\"user\":{\"login\":\"udftd\",\"id\":5563247,\"profile_url\":\"https://github.com/udftd\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/5563247?v=4\"},\"labels\":[\"docs\",\"channel: matrix\",\"channel: signal\",\"channel: slack\",\"channel: telegram\",\"channel: whatsapp-web\",\"commands\",\"size: XL\"],\"head\":{\"ref\":\"fix-telegram-typing-guard-v2\",\"sha\":\"dcb132a07f8d507723625b99215e2c9c7bba92fe\",\"repo\":{\"full_name\":\"udftd/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"1698726c186bf9e592a706940a96be617304252a\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-20T06:52:19Z\",\"updated_at\":\"2026-03-21T18:50:00Z\"},{\"number\":42485,\"title\":\"fix(telegram): restore retry behaviour for 429 rate-limit and failed-after network errors\",\"body\":\"Restores retry logic for two Telegram error classes that regressed:\\n\\n- `429 Too Many Requests` / `retry_after` responses\\n- grammY `failed-after` network errors\\n\\nBoth should be retried silently; without this fix they surface as hard failures to the user.\\n\\nChanges are isolated to `src/telegram/network-errors.ts` and its test file.\\n\\n---\\n_Replaces #40383 which was closed after an unrelated lint fix was mistakenly included in the branch. This PR contains only the original two commits, cherry-picked onto current main._\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/42485\",\"user\":{\"login\":\"amittell\",\"id\":1388680,\"profile_url\":\"https://github.com/amittell\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1388680?v=4\"},\"labels\":[\"channel: telegram\",\"size: M\"],\"head\":{\"ref\":\"fix/telegram-retry-regressions-v2\",\"sha\":\"76d1de1d37b37b69b1d7f9f567e594b43682490d\",\"repo\":{\"full_name\":\"amittell/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-10T20:16:08Z\",\"updated_at\":\"2026-03-21T18:49:45Z\"},{\"number\":50567,\"title\":\"fix(diagnostics-otel): fix log transport module isolation and add opt-in content capture\",\"body\":\"## Summary\\n\\nThis PR combines two fixes that together unblock full OTEL observability (logs + traces with message content):\\n\\n1. **Fix log transport module isolation** — `registerLogTransport` in the plugin SDK operates on a module-scoped `externalTransports` Set and reads `loggingState.cachedLogger`, both of which are isolated from the daemon\\u0026#39;s copies when the plugin is loaded via jiti. Log transports registered by the diagnostics-otel plugin silently never attach to the real logger, so no OTLP log records are emitted. This PR moves the transport registry and the active logger reference to a `globalThis.__openclawLogTransportState` singleton, mirroring the existing pattern used by `__openclawDiagnosticEventsState` in `diagnostic-events.ts`.\\n\\n2. **Add opt-in content capture for OTEL traces** — Adds a `diagnostics.otel.includeContent` config flag (default: `false`) that gates attaching user-facing input/output text to `model.usage` trace spans. When enabled, content is emitted as standard `gen_ai.prompt` / `gen_ai.completion` attributes (primary), with `langfuse.observation.input` / `langfuse.observation.output` as secondary compatibility fields. All content is redacted via `redactSensitiveText` before export.\\n\\n## Why one PR\\n\\nThese are two independent fixes that happen to be small enough to review together (+86/-6 across 8 files). Shipping them separately is also fine — the log transport fix has no dependency on content capture, and vice versa.\\n\\n## Relation to existing PRs and issues\\n\\n### Issues addressed\\n\\n- **#39156** — diagnostics-otel plugin: OTLP log export doesn\\u0026#39;t work — module isolation between gateway and plugin-sdk\\n- **#44943** — `diagnostics.otel: Unrecognized key: \\u0026#34;captureContent\\u0026#34;` — this PR adds `includeContent` to the strict Zod schema so the config key is accepted\\n- **#45096** — v3.12 diagnostics-otel plugin only reports system metrics, no LLM call traces/spans — this PR adds `gen_ai.*` semantic convention attributes to `model.usage` spans\\n\\n### Improvements over existing PRs\\n\\n**Log transport fix — compared with #50085, #39163, #24258:**\\n\\nThis PR takes the same approach as #50085 (the strongest of the three) by sharing **both** the transport registry **and** the active logger reference via `globalThis`. PRs #39163 and #24258 only share the `externalTransports` Set but not the logger reference, which leaves the late-registration path broken: if the daemon\\u0026#39;s logger is already built before the plugin calls `registerLogTransport`, the transport still needs to be attached to the live logger immediately. Without a shared `activeLogger`, `registerLogTransport` reads `loggingState.cachedLogger` which is `null` in the plugin\\u0026#39;s module instance, so the transport silently never attaches.\\n\\n**Content capture — compared with #36231, #21290, #40254:**\\n\\n- Smaller and more focused than #21290 (5735 lines, 40 files) — this PR takes the incremental approach of extending the existing `model.usage` flow rather than redesigning the span hierarchy\\n- Uses standard `gen_ai.*` attributes as the primary content fields (unlike #36231 which uses Langfuse-specific attrs as primary)\\n- Includes Langfuse compatibility attrs as secondary fields (unlike #21290 which only uses standard attrs)\\n- Does not include unrelated files like `PATCHES.md` (present in #36231)\\n- Covers the same emission site as #36231 (`agent-runner.ts`) with the same gating approach (`cfg.diagnostics?.otel?.includeContent`)\\n\\n### Scope note\\n\\nContent capture in this PR is at the reply layer (`agent-runner.ts`), capturing user-facing input/output text — not raw provider request/response bodies, reasoning internals, or tool call content. This is the only `model.usage` emitter in the current codebase. If other emitters are added, they will need the same `includeContent` gate.\\n\\n## Files changed (8)\\n\\n| File | Change |\\n|---|---|\\n| `src/logging/logger.ts` | `globalThis` singleton for transport Set + active logger |\\n| `src/config/zod-schema.ts` | `includeContent: z.boolean().optional()` in otel schema |\\n| `src/config/types.base.ts` | `includeContent?: boolean` on `DiagnosticsOtelConfig` |\\n| `src/config/schema.labels.ts` | Config label |\\n| `src/config/schema.help.ts` | Config help text |\\n| `src/infra/diagnostic-events.ts` | `inputText?` / `outputText?` on `DiagnosticUsageEvent` |\\n| `src/auto-reply/reply/agent-runner.ts` | Gated content emission |\\n| `extensions/diagnostics-otel/src/service.ts` | `gen_ai.*` + `langfuse.*` attrs, redacted |\\n\\n## Test plan\\n\\n- [x] `pnpm vitest run src/logging/` — 72/72 passed (14 files)\\n- [x] `pnpm vitest run src/infra/diagnostic-events` — 5/5 passed\\n- [x] `pnpm vitest run extensions/diagnostics-otel/` — 8/8 passed\\n- [x] `npx tsc --noEmit` — no type errors in changed files\\n- [ ] Runtime: confirm OTEL log records flow after plugin startup\\n- [ ] Runtime: confirm `gen_ai.prompt` / `gen_ai.completion` attrs appear only when `includeContent: true`\\n- [ ] Runtime: confirm content attrs are absent when `includeContent` is false or unset\\n- [ ] Runtime: confirm exported content is redacted by `redactSensitiveText`\\n\\n🤖 Generated with [Claude Code](https://claude.com/claude-code)\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/50567\",\"user\":{\"login\":\"turian\",\"id\":65918,\"profile_url\":\"https://github.com/turian\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/65918?v=4\"},\"labels\":[\"extensions: diagnostics-otel\",\"size: M\"],\"head\":{\"ref\":\"turian/otel-logs-and-content\",\"sha\":\"1810e801736d9a21564286efa0dcad790bc9a42b\",\"repo\":{\"full_name\":\"turian/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-19T17:51:03Z\",\"updated_at\":\"2026-03-21T18:49:07Z\"},{\"number\":51783,\"title\":\"fix(telegram): inject messageThreadId for plugin tools and fix Telegram slash command binding #48308\",\"body\":\"## Summary\\n\\n- **Problem:** Telegram native slash commands use a synthetic `To: slash:` target. Parsing that value as the chat id broke binding resolution for topic/thread context. Separately, plugin tools that need `messageThreadId` did not receive the current agent thread id unless the model passed it explicitly.\\n- **Why it matters:** Topic/thread-scoped flows (e.g. forum topics) and plugin tools that thread by `messageThreadId` could mis-route or lack thread context. Without this we can use \\u0026#34;one-topic-per-project\\u0026#34; management for DevClaw projects.\\n- **What changed:**\\n  - (1) For Telegram command binding resolution, when `to` starts with `slash:`, prefer `from` for parsing so group/topic ids come from the real peer.\\n  - (2) In `createOpenClawTools`, wrap plugin tools whose JSON schema exposes a `messageThreadId` property so `agentThreadId` is injected when missing, with numeric coercion for string ids.\\n  - (3) Tests for both behaviors.\\n  - (4) OpenAI embedding default wiring: use `OPENAI_DEFAULT_EMBEDDING_MODEL` from `providers/openai-defaults` in normalization and memory sync to align with the shared defaults export.\\n  \\n- **What did NOT change (scope boundary):** Core (non-plugin) tools are not wrapped; tools without `messageThreadId` in their declared schema are unchanged; explicit `messageThreadId` from the caller is never overwritten.\\n\\n## Change Type\\n\\n- [x] Bug fix\\n- [x] Chore/infra\\n\\n## Scope\\n\\n- [x] Gateway / orchestration\\n- [x] Skills / tool execution\\n- [x] Integrations\\n\\n## Linked Issue/PR\\n\\n- Closes #48308\\n\\n## User-visible / Behavior Changes\\n\\n- Telegram: Native slash command handling in topic/group contexts should resolve the correct conversation and thread when `To` is the synthetic `slash:` form.\\n- Agents: Plugin-defined tools whose parameters include `messageThreadId` receive it automatically from the current `agentThreadId` when the model omits it (string thread ids are coerced to finite numbers).\\n- Memory/embeddings: No intentional user-facing behavior change beyond fixing default OpenAI embedding model resolution to use the shared provider default constant.\\n\\n## Security Impact\\n\\n- New permissions/capabilities? **No**\\n- Secrets/tokens handling changed? **No**\\n- New/changed network calls? **No**\\n- Command/tool execution surface changed? **Yes** — plugin tools with a `messageThreadId` parameter get an extra default argument when absent; same tools and same execute path, only parameters may be augmented.\\n- Data access scope changed? **No**\\n\\n## Repro + Verification\\n\\n### Environment\\n\\n- OS: MacOS Tahoe 26.2\\n- Runtime/container: Node 22+ / `pnpm` (per repo)\\n- Model/provider: anthropic/claude-haiku-4-5-20251001\\n- Integration/channel: Telegram topic / native slash commands\\n- Relevant config: N/A\\n\\n### Steps\\n\\n1. `pnpm test -- src/agents/openclaw-tools.plugin-context.test.ts src/plugins/commands.test.ts`\\n2. (Optional) Exercise a Telegram plugin slash command inside a forum topic and confirm routing/thread behavior.\\n\\n### Expected\\n\\n- Tests pass; Telegram binding resolves `conversationId` / `threadId` from `from` when `to` is `slash:...`.\\n- Plugin tools with `messageThreadId` in schema receive injected id when args omit it.\\n\\n### Actual\\n\\n- `pnpm test -- src/agents/openclaw-tools.plugin-context.test.ts src/plugins/commands.test.ts` — all tests passed (7 + 14 tests across the two files in parallel lanes).\\n\\n## Evidence\\n\\nAs this is not a feature, not bugfix, I can\\u0026#39;t add any evidence, but I already tested full example from scratch:\\n1. Create one Telegram group\\n2. Create 2 topics in it.\\n3. Deploy 2 different projects, each on different topic.\\n4. Create GitLab issue from first topic and from second.\\n5. Perform issues from different topics.\\n6. Received 2 different PR in different GitLab repos as it should be. Full DevClaw project isolation (issues, repo, PR, etc).\\n\\n## Human Verification\\n\\nWhat you personally verified (not just CI), and how:\\n\\n- **Verified scenarios:** Unit tests added/updated for tool injection and Telegram `slash:` binding resolution.\\n- **Edge cases checked:** Explicit `messageThreadId` in tool args is not overridden; string `agentThreadId` coerces to number; tools without `messageThreadId` in schema are not wrapped.\\n- **What you did not verify:** I created two topics in the Telegram, successfully deployed different DevClaw projects in each, create GitLab issues from the Telegram with help of tools, performed two test issues in the different repositories.\\n\\n## Review Conversations\\n\\n- [x] I replied to or resolved every bot review conversation I addressed in this PR.\\n\\nIf a bot review conversation is addressed by this PR, resolve that conversation yourself. Do not leave bot review conversation cleanup for maintainers.\\n\\n## Compatibility / Migration\\n\\n- Backward compatible? **Yes**\\n- Config/env changes? **No**\\n- Migration needed? **No**\\n\\n## Failure Recovery (if this breaks)\\n\\n- **How to disable/revert this change quickly:** Revert the branch commit(s) touching `src/agents/openclaw-tools.ts`, `src/plugins/commands.ts`, and related tests; revert embedding import/default lines if those regress separately.\\n- **Files/config to restore:** Above source files to prior `main` versions.\\n- **Known bad symptoms reviewers should watch for:** Wrong Telegram command routing; plugin tools receiving unexpected `messageThreadId`; embedding model normalization pointing at wrong default (unlikely if revert is consistent).\\n\\n## Risks and Mitigations\\n\\n- **Risk:** Schema detection uses presence of `messageThreadId` in `parameters.properties` only — unusual schemas might not match.\\n  - **Mitigation:** Matches explicit JSON-schema style used by plugin tools; callers can still pass `messageThreadId` explicitly.\\n\\n- **Risk:** `agentThreadId` string coercion could parse unexpected strings.\\n- **Mitigation:** Only finite numeric parses are applied; blank/non-numeric strings result in no injection.\\n\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51783\",\"user\":{\"login\":\"netandreus\",\"id\":313477,\"profile_url\":\"https://github.com/netandreus\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/313477?v=4\"},\"labels\":[\"agents\",\"size: M\"],\"head\":{\"ref\":\"fix/48308-passing-message-thread-id\",\"sha\":\"fc726f13282a988bd18b32cf8b3298c063eaf39f\",\"repo\":{\"full_name\":\"netandreus/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fd2b3ed6af9c3ec6ee9e5e0f16410cf286159002\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T17:29:06Z\",\"updated_at\":\"2026-03-21T18:48:43Z\"},{\"number\":38435,\"title\":\"fix(googlechat): use globalThis.fetch to avoid gaxios node-fetch v3 ESM failure on Node.js 22+\",\"body\":\"## Problem\\n\\nAfter upgrading to v2026.3.2+, the Google Chat plugin fails with:\\n\\n```\\nGoogle Chat: failed (unknown) - Cannot convert undefined or null to object\\n```\\n\\nReported in: #33468, #33256\\n\\n## Root Cause\\n\\n`gaxios` (used by `google-auth-library`) determines which `fetch` implementation to use with this logic:\\n\\n```ts\\nstatic async #getFetch() {\\n  const hasWindow = typeof window !== \\u0026#39;undefined\\u0026#39; \\u0026amp;\\u0026amp; !!window;\\n  this.#fetch ||= hasWindow\\n    ? window.fetch\\n    : (await import(\\u0026#39;node-fetch\\u0026#39;)).default;  // \\u0026lt;-- problem\\n  return this.#fetch;\\n}\\n```\\n\\nOn Node.js (no `window`), it falls back to dynamically importing `node-fetch`. The bundled `node-fetch` version inside `gaxios`\\u0026#39;s own `node_modules` is **v3.3.2 (ESM-only)**. When loaded from a CJS bundle context on **Node.js 22+**, this fails with:\\n\\n```\\nTypeError: Cannot convert undefined or null to object\\n  at ModuleWrap. (node:internal/modules/esm/translators:213:12)\\n```\\n\\nNode.js 18+ ships with a native `globalThis.fetch`, but `gaxios` only checks for `window` (browser), not `globalThis.fetch` (Node.js).\\n\\n## Fix\\n\\nInject `globalThis.fetch` as the `fetchImplementation` on the gaxios transporter when available (Node.js 18+), so `gaxios` never attempts the failing `import(\\u0026#39;node-fetch\\u0026#39;)`.\\n\\nThis is done in `googlechat/src/auth.ts` via a `createGoogleAuth` wrapper that sets `transporter.defaults.fetchImplementation` after construction.\\n\\n## Testing\\n\\nVerified locally on Node.js v22.22.0 — both `Google Chat main` and `legal` accounts now show `works` in `openclaw channels status --probe`.\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/38435\",\"user\":{\"login\":\"novan\",\"id\":316959,\"profile_url\":\"https://github.com/novan\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/316959?v=4\"},\"labels\":[\"channel: googlechat\",\"size: XS\"],\"head\":{\"ref\":\"fix/googlechat-gaxios-node-fetch-esm\",\"sha\":\"1511f8620561cd65e8b48883bd10121f999b5a7a\",\"repo\":{\"full_name\":\"novan/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"74959fc1fded97cf3de2d6f1acd6dfda87f5d593\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-07T00:53:59Z\",\"updated_at\":\"2026-03-21T18:48:39Z\"}]"}]}]},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"b08577f4-45b5-46af-ae82-e985d09ec045","timestamp":"2026-03-21T18:52:59.218Z","tool_use_result":[{"type":"text","text":"[{\"number\":51673,\"title\":\"fix(core): preserve totalTokens on zero usage reports (Consolidated v2)\",\"body\":\"This PR provides a clean consolidation of the vLLM zero-usage display fix. It introduces totalTokensEstimate to safely preserve display counts while maintaining strict freshness for internal logic. Supersedes #51484.\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51673\",\"user\":{\"login\":\"ryansorr\",\"id\":31250381,\"profile_url\":\"https://github.com/ryansorr\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/31250381?v=4\"},\"labels\":[\"gateway\",\"commands\",\"agents\",\"size: M\"],\"head\":{\"ref\":\"fix-session-token-reset-v3\",\"sha\":\"65a3724a94c8f92a219206f0fa6cdd9d6b6b9c75\",\"repo\":{\"full_name\":\"ryansorr/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T15:08:17Z\",\"updated_at\":\"2026-03-21T18:52:35Z\"},{\"number\":51817,\"title\":\"fix: mark googlechat appPrincipal as required in schema and type\",\"body\":\"## Summary\\n\\n- Problem: `appPrincipal` in Google Chat config is marked optional in Zod schema and TS type, but required at runtime — causes silent 401 auth failures instead of clear validation errors.\\n- Why it matters: Users get confusing runtime errors instead of upfront config validation failures.\\n- What changed: Made `appPrincipal` required in Zod schema (`zod-schema.providers-core.ts`), TS type (`types.googlechat.ts`), and regenerated config baseline docs. Added `appPrincipal` to test fixtures that were missing it.\\n- What did NOT change (scope boundary): No logic changes, no new features, no refactoring beyond the fix.\\n\\n## Change Type (select all)\\n\\n- [x] Bug fix\\n- [ ] Feature\\n- [ ] Refactor required for the fix\\n- [x] Docs\\n- [ ] Security hardening\\n- [ ] Chore/infra\\n\\n## Scope (select all touched areas)\\n\\n- [ ] Gateway / orchestration\\n- [ ] Skills / tool execution\\n- [ ] Auth / tokens\\n- [ ] Memory / storage\\n- [x] Integrations\\n- [x] API / contracts\\n- [ ] UI / DX\\n- [ ] CI/CD / infra\\n\\n## Linked Issue/PR\\n\\n- Closes #51694\\n\\n## User-visible / Behavior Changes\\n\\nConfig validation now rejects Google Chat configurations missing `appPrincipal` at parse time with a clear Zod error, instead of accepting the config and failing later with a 401.\\n\\n## Security Impact (required)\\n\\n- New permissions/capabilities? No\\n- Secrets/tokens handling changed? No\\n- New/changed network calls? No\\n- Command/tool execution surface changed? No\\n- Data access scope changed? No\\n\\n## Repro + Verification\\n\\n### Environment\\n\\n- OS: macOS\\n- Runtime/container: Node 22+ / Bun\\n\\n### Steps\\n\\n1. Configure Google Chat channel without `appPrincipal`\\n2. Before fix: config parses OK, fails at runtime with 401\\n3. After fix: config validation rejects with clear \\u0026#34;Required\\u0026#34; error\\n\\n### Expected\\n\\nConfig validation fails upfront when `appPrincipal` is missing.\\n\\n### Actual\\n\\nAfter this fix, Zod schema correctly requires `appPrincipal`.\\n\\n## Evidence\\n\\n- [x] Failing test/log before + passing after\\n\\nScoped tests all pass:\\n- `extensions/googlechat/src/accounts.test.ts` — 5 passed\\n- `src/config/config.secrets-schema.test.ts` — 10 passed\\n- `src/config/doc-baseline.integration.test.ts` — 7 passed\\n\\n## Human Verification (required)\\n\\n- Verified scenarios: Zod schema rejects missing appPrincipal, TS type enforces required field, baseline docs regenerated correctly\\n- Edge cases checked: GoogleChatAccountSchema and GoogleChatConfigSchema both updated (appPrincipal appears at account level and top level)\\n- What you did **not** verify: Live Google Chat integration (no credentials available)\\n\\n## Review Conversations\\n\\n- [x] I replied to or resolved every bot review conversation I addressed in this PR.\\n- [x] I left unresolved only the conversations that still need reviewer or maintainer judgment.\\n\\n## Compatibility / Migration\\n\\n- Backward compatible? No — configs missing `appPrincipal` will now fail validation (this is the intended fix)\\n- Config/env changes? Yes — `appPrincipal` is now required in Google Chat config\\n- Migration needed? No — users who had a working Google Chat setup already have this field set\\n- If yes, exact upgrade steps: N/A\\n\\n## Failure Recovery (if this breaks)\\n\\n- How to disable/revert this change quickly: Revert commit `93772d7`\\n- Files/config to restore: `src/config/zod-schema.providers-core.ts`, `src/config/types.googlechat.ts`, baseline docs\\n- Known bad symptoms reviewers should watch for: Google Chat configs that previously worked but were missing `appPrincipal` (unlikely — those would have failed at auth)\\n\\n## Risks and Mitigations\\n\\n- Risk: Existing configs missing `appPrincipal` will fail validation on upgrade\\n  - Mitigation: Such configs were already broken at runtime (401 errors); this just surfaces the error earlier with a clear message\",\"state\":\"open\",\"draft\":true,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51817\",\"user\":{\"login\":\"majiayu000\",\"id\":19658300,\"profile_url\":\"https://github.com/majiayu000\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/19658300?v=4\"},\"labels\":[\"docs\",\"channel: googlechat\",\"commands\",\"size: XS\"],\"head\":{\"ref\":\"fix/issue-51694-googlechat-appprincipal-required\",\"sha\":\"93772d71a799c7d0d7c8026ae7c400c1bd264046\",\"repo\":{\"full_name\":\"majiayu000/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T18:52:13Z\",\"updated_at\":\"2026-03-21T18:52:26Z\"},{\"number\":51784,\"title\":\"fix: Control UI model picker provider prefix + skip register on snapshot loads\",\"body\":\"## Summary\\n\\nTwo fixes bundled together:\\n\\n### Fix 1: Control UI Model Picker Provider Prefix (#51608)\\n\\nFixes issue #51608 where the Control UI model picker sends wrong provider prefix for all models.\\n\\nWhen using the Control UI model picker to switch models, requests were incorrectly routed to the primary provider instead of the correct provider for each model when:\\n\\n1. A model has an alias configured in `agents.defaults.models`\\n2. The catalog entry has the alias as its `id` field\\n3. User selects the model, causing the UI to send `provider/alias` (e.g., `custom-dashscope-aliyuncs-com/bailian`)\\n\\nThe server\\u0026#39;s `resolveModelRefFromString` function parsed `provider/alias` correctly but didn\\u0026#39;t resolve the `alias` part through the alias index, causing the allowlist check to fail.\\n\\n**Changes:**\\n- `src/agents/model-selection.ts`: In `resolveModelRefFromString`, after parsing a qualified `provider/model` ref, check if the `model` part is an alias in the alias index. If so, use the alias\\u0026#39;s resolved model name instead.\\n- `src/agents/model-selection.test.ts`: Added test case for the bug fix.\\n\\n### Fix 2: Skip register() on Non-Activating Snapshot Loads (#51781)\\n\\nFixes issue #51781 where `loadOpenClawPlugins` with `activate: false` still invokes each plugin\\u0026#39;s `register()` function, causing performance overhead from repeated plugin initialization side effects during snapshot loads.\\n\\n**Changes:**\\n- `src/plugins/loader.ts`: Skip calling `register()` when `shouldActivate` is false (i.e., when `activate: false` is passed).\\n- `src/plugins/loader.test.ts`: Updated test to reflect the new expected behavior.\\n\\n## Testing\\n\\n- All `resolveModelRefFromString` tests pass (9 tests)\\n- All `sessions-patch` tests pass (27 tests)\\n- All `loader.test.ts` tests pass (77 tests)\\n- TypeScript type check passes\\n- Lint and format checks pass\\n\\nNote: One pre-existing test failure in `resolveConfiguredModelRef \\u0026gt; sanitizes control characters in providerless-model warnings` is unrelated to this change (Windows symlink permissions issue).\",\"state\":\"closed\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51784\",\"user\":{\"login\":\"Yaohua-Leo\",\"id\":243496201,\"profile_url\":\"https://github.com/Yaohua-Leo\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/243496201?v=4\"},\"labels\":[\"agents\",\"size: S\"],\"head\":{\"ref\":\"fix/51608-ui-model-picker-provider-prefix\",\"sha\":\"2bc2a71dd24f2f87f8a60c64596be86a4971b31c\",\"repo\":{\"full_name\":\"Yaohua-Leo/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T17:30:48Z\",\"updated_at\":\"2026-03-21T18:51:58Z\",\"closed_at\":\"2026-03-21T18:51:58Z\"},{\"number\":51808,\"title\":\"msteams: implement Teams AI agent UX best practices\",\"body\":\"## Summary\\n\\nImplements [Microsoft\\u0026#39;s mandatory requirements and best practices](https://learn.microsoft.com/en-us/microsoftteams/platform/bots/how-to/teams-conversational-ai/ai-ux) for AI-powered bots in Teams.\\n\\n- **AI-generated label**: All outbound messages include the `AIGeneratedContent` entity and `channelData.feedbackLoopEnabled` so Teams renders the \\u0026#34;AI generated\\u0026#34; badge and native thumbs up/down UI\\n- **Streaming responses** (1:1 only): Uses the [Teams `streaminfo` entity protocol](https://learn.microsoft.com/en-us/microsoftteams/platform/bots/streaming-ux) with `onPartialReply` to progressively update messages as the LLM generates tokens, throttled at 1.5s via the shared `draft-stream-loop`\\n- **Welcome card**: Sends an Adaptive Card with configurable prompt starters when the bot is added to a 1:1 chat\\n- **Feedback with reflective learning**: Handles `message/submitAction` invoke for thumbs up/down. Negative feedback triggers a fire-and-forget background reflection — the agent reviews its response, derives a learning, and proactively messages the user with adjustments. Feedback events persisted as `type: \\u0026#34;custom\\u0026#34;` / `event: \\u0026#34;feedback\\u0026#34;` in session JSONL for mining\\n- **Infrastructure**: `updateActivity` REST helper, `from` field on `process` handler activities, new config fields (`welcomeCard`, `promptStarters`, `feedbackEnabled`, `feedbackReflection`, etc.)\\n\\nCloses #51806\\n\\n## Test plan\\n\\n- [x] All 248 msteams extension tests pass (23 test files)\\n- [x] Typecheck clean (only pre-existing `monitor.ts:315` error)\\n- [x] Formatting clean (`pnpm format:check`)\\n- [ ] Manual: AI label badge renders on bot responses in Teams (desktop, web, mobile)\\n- [ ] Manual: Welcome card appears when bot is added to a 1:1 chat\\n- [ ] Manual: Streaming shows progressive text updates in 1:1 chats\\n- [ ] Manual: Thumbs down triggers reflection follow-up message\\n- [ ] Manual: Group chats/channels fall back to standard single-message delivery\\n\\nDemo video: https://x.com/upster/status/2035368712262545507?s=20\\n\\n🤖 Generated with [Claude Code](https://claude.com/claude-code)\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51808\",\"user\":{\"login\":\"SidU\",\"id\":4107912,\"profile_url\":\"https://github.com/SidU\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/4107912?v=4\"},\"labels\":[\"channel: msteams\",\"maintainer\",\"size: XL\"],\"head\":{\"ref\":\"claude/migrate-teams-sdk-PKHin\",\"sha\":\"b02728c89dfb1ac869297d762ea3be6c17706ca1\",\"repo\":{\"full_name\":\"SidU/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fd2b3ed6af9c3ec6ee9e5e0f16410cf286159002\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T18:28:22Z\",\"updated_at\":\"2026-03-21T18:51:06Z\"},{\"number\":51801,\"title\":\"fix(cli): use local device pairing fallback for loopback closures\",\"body\":\"## Summary\\n- broaden loopback device-pairing fallback to also cover pairing-related loopback closures that arrive without an explicit close reason\\n- let `devices clear --pending` use the same local pairing fallback path instead of failing outright\\n- add regression coverage for list/approve/clear on local loopback gateways\\n\\n## Testing\\n- `src/cli/devices-cli.test.ts`\\n\\nFixes #51516\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51801\",\"user\":{\"login\":\"RichardCao\",\"id\":4612401,\"profile_url\":\"https://github.com/RichardCao\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/4612401?v=4\"},\"labels\":[\"cli\",\"size: M\"],\"head\":{\"ref\":\"issue-51516\",\"sha\":\"0787edd5d5bbde020c6722f543bbcef1c7faafb1\",\"repo\":{\"full_name\":\"RichardCao/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T18:10:55Z\",\"updated_at\":\"2026-03-21T18:50:31Z\"},{\"number\":50903,\"title\":\"Telegram: fix message loss during proxy network interruptions\",\"body\":\"## Summary\\n\\n- **Problem:** When using Telegram through an HTTP/SOCKS5 proxy, network interruptions during long-running agent tasks cause message loss — users receive no reply or incomplete replies. This issue was previously reported in #27419 and partially addressed, but the root cause — `onReplyStart` unconditionally resetting the typing breaker on every streaming chunk (`typing.ts:71-85`) — was not fixed, causing the problem to persist in later versions (confirmed on 2026.3.12+ with proxy configurations). The result is a cascade: streaming chunks repeatedly reset the typing circuit breaker, flooding the network with failing `sendChatAction` requests for 30s+, while the polling stall watchdog takes 90s to detect the outage. Meanwhile, outbound `sendMessage`/`editMessageText` calls fail silently with no retry.\\n- **Why it matters:** Users behind proxies lose AI replies entirely during transient network disruptions.\\n- **What changed:**\\n  1. **Typing guard semantics** — `onReplyStart` now only resets the breaker on the first call per reply cycle; subsequent streaming chunks refresh the TTL but never restart an already-tripped breaker\\n  2. **Outbound network health signal** — `sendChatAction` handler tracks consecutive recoverable network failures and triggers early polling restart (instead of waiting 90s)\\n  3. **Pre-connect send retry** — final replies, preview edits, text fallbacks, and user-visible error messages all retry on safe pre-connect network errors (connection refused, DNS, socket hang up) with exponential backoff\\n  4. **Configurable stall threshold** — new optional `channels.telegram.network.pollStallThresholdMs` lets proxy users lower the watchdog from the 90s default\\n  5. **Watchdog false positive fix** — polling stall detection now checks `runner.size()` to avoid false restarts when updates are still being processed (backpressure)\\n- **What did NOT change (scope boundary):** No transport fallback bypass for explicit proxies — respects user network policy. No changes to `reply-dispatcher.ts` error handling or general retry infrastructure.\\n\\n## Change Type (select all)\\n\\n- [x] Bug fix\\n\\n## Scope (select all touched areas)\\n\\n- [x] Integrations\\n\\n## Linked Issue/PR\\n\\n- Closes #27419\\n\\n## User-visible / Behavior Changes\\n\\n- Typing indicator no longer spams failing requests during network outages (was: 30s+ of error log flooding)\\n- Telegram replies now retry on safe pre-connect network errors instead of silently failing\\n- Polling recovery is faster when outbound sends detect network failure (seconds vs 90s)\\n- New optional config: `channels.telegram.network.pollStallThresholdMs` (default: 90000)\\n\\n## Security Impact (required)\\n\\n- New permissions/capabilities? No\\n- Secrets/tokens handling changed? No\\n- New/changed network calls? No (existing calls gain retry on pre-connect errors only)\\n- Command/tool execution surface changed? No\\n- Data access scope changed? No\\n\\n## Repro + Verification\\n\\n### Environment\\n\\n- OS: macOS / Linux\\n- Runtime/container: Node 22+\\n- Integration/channel: Telegram (via HTTP/SOCKS5 proxy)\\n- Relevant config: `channels.telegram.proxy` set to an explicit proxy\\n\\n### Steps\\n\\n1. Configure Telegram channel with an HTTP proxy\\n2. Send a message that triggers a long-running agent task (e.g., \\u0026#34;read and summarize this article\\u0026#34;)\\n3. Interrupt the proxy during agent processing\\n4. Wait for proxy to recover\\n\\n### Expected\\n\\n- Typing indicator stops after breaker trips (2 failures)\\n- Polling restarts within seconds of detecting outbound failure\\n- Final reply is delivered after network recovery\\n\\n### Actual (before fix)\\n\\n- `sendChatAction` fails every 3s for 30+ seconds (breaker reset by each streaming chunk)\\n- Polling stall detected after 90-104s\\n- Final reply lost — user receives nothing or incomplete preview\\n\\n## Evidence\\n\\n- [x] Failing test/log before + passing after\\n- [x] Trace/log snippets\\n\\n**Error logs (before fix):**\\n\\n```\\n[telegram] Polling stall detected (no getUpdates for 104.07s); forcing restart.\\ntelegram sendChatAction failed: Network request for \\u0026#39;sendChatAction\\u0026#39; failed!\\ntelegram sendChatAction failed: Network request for \\u0026#39;sendChatAction\\u0026#39; failed!\\ntelegram sendChatAction failed: Network request for \\u0026#39;sendChatAction\\u0026#39; failed!\\ntelegram sendChatAction failed: Network request for \\u0026#39;sendChatAction\\u0026#39; failed!\\n```\\n\\n**After further commits, watchdog still misfired on in-flight updates:**\\n\\n```\\n[telegram] Polling stall detected (no getUpdates for 101.84s); forcing restart.\\n[telegram] Polling runner stop timed out after 15s; forcing restart cycle.\\n```\\n\\nThis was caused by the watchdog not accounting for `runner.size() \\u0026gt; 0` (backpressure from long-running update handlers). Fixed in the final commit.\\n\\n**Tests added:**\\n\\n- `src/channels/typing.test.ts` — breaker trip blocks subsequent `onReplyStart` resets\\n- `extensions/telegram/src/bot.create-telegram-bot.test.ts` — Telegram-specific typing breaker regression\\n- `extensions/telegram/src/sendchataction-401-backoff.test.ts` — recoverable network failure threshold + callback\\n- `extensions/telegram/src/monitor.test.ts` — configurable stall threshold + in-flight update guard\\n- `extensions/telegram/src/final-reply-retry.test.ts` — pre-connect retry policy\\n- `extensions/telegram/src/draft-stream.test.ts` — preview send/edit retry\\n- `extensions/telegram/src/lane-delivery.test.ts` — final preview edit retry\\n- `extensions/telegram/src/bot/delivery.test.ts` — text send retry\\n- `extensions/telegram/src/bot-message.test.ts` — error fallback retry\\n\\n## Human Verification (required)\\n\\n- Verified scenarios:\\n  - Guard trips after 2 failures; subsequent `onReplyStart` does not restart keepalive\\n  - Outbound network failure triggers early polling restart\\n  - Pre-connect send errors retry with backoff; ambiguous errors do not retry\\n  - In-flight updates prevent false polling stall detection\\n- Edge cases checked:\\n  - Ambiguous network errors (may have reached Telegram) are NOT retried to avoid duplicate messages\\n  - `runner.size()` fallback when method is unavailable\\n  - Invalid `pollStallThresholdMs` values fall back to default 90s\\n- What you did **not** verify:\\n  - Long-term stability under sustained proxy flapping (observation period ongoing)\\n\\n## Review Conversations\\n\\n- [x] I replied to or resolved every bot review conversation I addressed in this PR.\\n- [x] I left unresolved only the conversations that still need reviewer or maintainer judgment.\\n\\n## Compatibility / Migration\\n\\n- Backward compatible? Yes\\n- Config/env changes? Yes — new optional field `channels.telegram.network.pollStallThresholdMs`\\n- Migration needed? No\\n\\n## Failure Recovery (if this breaks)\\n\\n- How to disable/revert this change quickly: revert to previous version\\n- Known bad symptoms reviewers should watch for:\\n  - Duplicate messages (would indicate retry firing on non-safe errors)\\n  - Polling restart loops (would indicate outbound signal false positives)\\n\\n## Risks and Mitigations\\n\\n- Risk: Pre-connect retry could cause duplicate messages if error classification is wrong\\n  - Mitigation: Only retries errors in `PRE_CONNECT_ERROR_CODES` (connection refused, DNS failure, socket hang up — all guaranteed not to have reached Telegram). Ambiguous errors are never retried.\\n- Risk: Outbound network signal could cause unnecessary polling restarts\\n  - Mitigation: Signal fires only after 2 consecutive recoverable failures, and only once per polling cycle (`networkFailureSignaled` flag)\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/50903\",\"user\":{\"login\":\"udftd\",\"id\":5563247,\"profile_url\":\"https://github.com/udftd\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/5563247?v=4\"},\"labels\":[\"docs\",\"channel: matrix\",\"channel: signal\",\"channel: slack\",\"channel: telegram\",\"channel: whatsapp-web\",\"commands\",\"size: XL\"],\"head\":{\"ref\":\"fix-telegram-typing-guard-v2\",\"sha\":\"dcb132a07f8d507723625b99215e2c9c7bba92fe\",\"repo\":{\"full_name\":\"udftd/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"1698726c186bf9e592a706940a96be617304252a\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-20T06:52:19Z\",\"updated_at\":\"2026-03-21T18:50:00Z\"},{\"number\":42485,\"title\":\"fix(telegram): restore retry behaviour for 429 rate-limit and failed-after network errors\",\"body\":\"Restores retry logic for two Telegram error classes that regressed:\\n\\n- `429 Too Many Requests` / `retry_after` responses\\n- grammY `failed-after` network errors\\n\\nBoth should be retried silently; without this fix they surface as hard failures to the user.\\n\\nChanges are isolated to `src/telegram/network-errors.ts` and its test file.\\n\\n---\\n_Replaces #40383 which was closed after an unrelated lint fix was mistakenly included in the branch. This PR contains only the original two commits, cherry-picked onto current main._\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/42485\",\"user\":{\"login\":\"amittell\",\"id\":1388680,\"profile_url\":\"https://github.com/amittell\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1388680?v=4\"},\"labels\":[\"channel: telegram\",\"size: M\"],\"head\":{\"ref\":\"fix/telegram-retry-regressions-v2\",\"sha\":\"76d1de1d37b37b69b1d7f9f567e594b43682490d\",\"repo\":{\"full_name\":\"amittell/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-10T20:16:08Z\",\"updated_at\":\"2026-03-21T18:49:45Z\"},{\"number\":50567,\"title\":\"fix(diagnostics-otel): fix log transport module isolation and add opt-in content capture\",\"body\":\"## Summary\\n\\nThis PR combines two fixes that together unblock full OTEL observability (logs + traces with message content):\\n\\n1. **Fix log transport module isolation** — `registerLogTransport` in the plugin SDK operates on a module-scoped `externalTransports` Set and reads `loggingState.cachedLogger`, both of which are isolated from the daemon\\u0026#39;s copies when the plugin is loaded via jiti. Log transports registered by the diagnostics-otel plugin silently never attach to the real logger, so no OTLP log records are emitted. This PR moves the transport registry and the active logger reference to a `globalThis.__openclawLogTransportState` singleton, mirroring the existing pattern used by `__openclawDiagnosticEventsState` in `diagnostic-events.ts`.\\n\\n2. **Add opt-in content capture for OTEL traces** — Adds a `diagnostics.otel.includeContent` config flag (default: `false`) that gates attaching user-facing input/output text to `model.usage` trace spans. When enabled, content is emitted as standard `gen_ai.prompt` / `gen_ai.completion` attributes (primary), with `langfuse.observation.input` / `langfuse.observation.output` as secondary compatibility fields. All content is redacted via `redactSensitiveText` before export.\\n\\n## Why one PR\\n\\nThese are two independent fixes that happen to be small enough to review together (+86/-6 across 8 files). Shipping them separately is also fine — the log transport fix has no dependency on content capture, and vice versa.\\n\\n## Relation to existing PRs and issues\\n\\n### Issues addressed\\n\\n- **#39156** — diagnostics-otel plugin: OTLP log export doesn\\u0026#39;t work — module isolation between gateway and plugin-sdk\\n- **#44943** — `diagnostics.otel: Unrecognized key: \\u0026#34;captureContent\\u0026#34;` — this PR adds `includeContent` to the strict Zod schema so the config key is accepted\\n- **#45096** — v3.12 diagnostics-otel plugin only reports system metrics, no LLM call traces/spans — this PR adds `gen_ai.*` semantic convention attributes to `model.usage` spans\\n\\n### Improvements over existing PRs\\n\\n**Log transport fix — compared with #50085, #39163, #24258:**\\n\\nThis PR takes the same approach as #50085 (the strongest of the three) by sharing **both** the transport registry **and** the active logger reference via `globalThis`. PRs #39163 and #24258 only share the `externalTransports` Set but not the logger reference, which leaves the late-registration path broken: if the daemon\\u0026#39;s logger is already built before the plugin calls `registerLogTransport`, the transport still needs to be attached to the live logger immediately. Without a shared `activeLogger`, `registerLogTransport` reads `loggingState.cachedLogger` which is `null` in the plugin\\u0026#39;s module instance, so the transport silently never attaches.\\n\\n**Content capture — compared with #36231, #21290, #40254:**\\n\\n- Smaller and more focused than #21290 (5735 lines, 40 files) — this PR takes the incremental approach of extending the existing `model.usage` flow rather than redesigning the span hierarchy\\n- Uses standard `gen_ai.*` attributes as the primary content fields (unlike #36231 which uses Langfuse-specific attrs as primary)\\n- Includes Langfuse compatibility attrs as secondary fields (unlike #21290 which only uses standard attrs)\\n- Does not include unrelated files like `PATCHES.md` (present in #36231)\\n- Covers the same emission site as #36231 (`agent-runner.ts`) with the same gating approach (`cfg.diagnostics?.otel?.includeContent`)\\n\\n### Scope note\\n\\nContent capture in this PR is at the reply layer (`agent-runner.ts`), capturing user-facing input/output text — not raw provider request/response bodies, reasoning internals, or tool call content. This is the only `model.usage` emitter in the current codebase. If other emitters are added, they will need the same `includeContent` gate.\\n\\n## Files changed (8)\\n\\n| File | Change |\\n|---|---|\\n| `src/logging/logger.ts` | `globalThis` singleton for transport Set + active logger |\\n| `src/config/zod-schema.ts` | `includeContent: z.boolean().optional()` in otel schema |\\n| `src/config/types.base.ts` | `includeContent?: boolean` on `DiagnosticsOtelConfig` |\\n| `src/config/schema.labels.ts` | Config label |\\n| `src/config/schema.help.ts` | Config help text |\\n| `src/infra/diagnostic-events.ts` | `inputText?` / `outputText?` on `DiagnosticUsageEvent` |\\n| `src/auto-reply/reply/agent-runner.ts` | Gated content emission |\\n| `extensions/diagnostics-otel/src/service.ts` | `gen_ai.*` + `langfuse.*` attrs, redacted |\\n\\n## Test plan\\n\\n- [x] `pnpm vitest run src/logging/` — 72/72 passed (14 files)\\n- [x] `pnpm vitest run src/infra/diagnostic-events` — 5/5 passed\\n- [x] `pnpm vitest run extensions/diagnostics-otel/` — 8/8 passed\\n- [x] `npx tsc --noEmit` — no type errors in changed files\\n- [ ] Runtime: confirm OTEL log records flow after plugin startup\\n- [ ] Runtime: confirm `gen_ai.prompt` / `gen_ai.completion` attrs appear only when `includeContent: true`\\n- [ ] Runtime: confirm content attrs are absent when `includeContent` is false or unset\\n- [ ] Runtime: confirm exported content is redacted by `redactSensitiveText`\\n\\n🤖 Generated with [Claude Code](https://claude.com/claude-code)\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/50567\",\"user\":{\"login\":\"turian\",\"id\":65918,\"profile_url\":\"https://github.com/turian\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/65918?v=4\"},\"labels\":[\"extensions: diagnostics-otel\",\"size: M\"],\"head\":{\"ref\":\"turian/otel-logs-and-content\",\"sha\":\"1810e801736d9a21564286efa0dcad790bc9a42b\",\"repo\":{\"full_name\":\"turian/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-19T17:51:03Z\",\"updated_at\":\"2026-03-21T18:49:07Z\"},{\"number\":51783,\"title\":\"fix(telegram): inject messageThreadId for plugin tools and fix Telegram slash command binding #48308\",\"body\":\"## Summary\\n\\n- **Problem:** Telegram native slash commands use a synthetic `To: slash:` target. Parsing that value as the chat id broke binding resolution for topic/thread context. Separately, plugin tools that need `messageThreadId` did not receive the current agent thread id unless the model passed it explicitly.\\n- **Why it matters:** Topic/thread-scoped flows (e.g. forum topics) and plugin tools that thread by `messageThreadId` could mis-route or lack thread context. Without this we can use \\u0026#34;one-topic-per-project\\u0026#34; management for DevClaw projects.\\n- **What changed:**\\n  - (1) For Telegram command binding resolution, when `to` starts with `slash:`, prefer `from` for parsing so group/topic ids come from the real peer.\\n  - (2) In `createOpenClawTools`, wrap plugin tools whose JSON schema exposes a `messageThreadId` property so `agentThreadId` is injected when missing, with numeric coercion for string ids.\\n  - (3) Tests for both behaviors.\\n  - (4) OpenAI embedding default wiring: use `OPENAI_DEFAULT_EMBEDDING_MODEL` from `providers/openai-defaults` in normalization and memory sync to align with the shared defaults export.\\n  \\n- **What did NOT change (scope boundary):** Core (non-plugin) tools are not wrapped; tools without `messageThreadId` in their declared schema are unchanged; explicit `messageThreadId` from the caller is never overwritten.\\n\\n## Change Type\\n\\n- [x] Bug fix\\n- [x] Chore/infra\\n\\n## Scope\\n\\n- [x] Gateway / orchestration\\n- [x] Skills / tool execution\\n- [x] Integrations\\n\\n## Linked Issue/PR\\n\\n- Closes #48308\\n\\n## User-visible / Behavior Changes\\n\\n- Telegram: Native slash command handling in topic/group contexts should resolve the correct conversation and thread when `To` is the synthetic `slash:` form.\\n- Agents: Plugin-defined tools whose parameters include `messageThreadId` receive it automatically from the current `agentThreadId` when the model omits it (string thread ids are coerced to finite numbers).\\n- Memory/embeddings: No intentional user-facing behavior change beyond fixing default OpenAI embedding model resolution to use the shared provider default constant.\\n\\n## Security Impact\\n\\n- New permissions/capabilities? **No**\\n- Secrets/tokens handling changed? **No**\\n- New/changed network calls? **No**\\n- Command/tool execution surface changed? **Yes** — plugin tools with a `messageThreadId` parameter get an extra default argument when absent; same tools and same execute path, only parameters may be augmented.\\n- Data access scope changed? **No**\\n\\n## Repro + Verification\\n\\n### Environment\\n\\n- OS: MacOS Tahoe 26.2\\n- Runtime/container: Node 22+ / `pnpm` (per repo)\\n- Model/provider: anthropic/claude-haiku-4-5-20251001\\n- Integration/channel: Telegram topic / native slash commands\\n- Relevant config: N/A\\n\\n### Steps\\n\\n1. `pnpm test -- src/agents/openclaw-tools.plugin-context.test.ts src/plugins/commands.test.ts`\\n2. (Optional) Exercise a Telegram plugin slash command inside a forum topic and confirm routing/thread behavior.\\n\\n### Expected\\n\\n- Tests pass; Telegram binding resolves `conversationId` / `threadId` from `from` when `to` is `slash:...`.\\n- Plugin tools with `messageThreadId` in schema receive injected id when args omit it.\\n\\n### Actual\\n\\n- `pnpm test -- src/agents/openclaw-tools.plugin-context.test.ts src/plugins/commands.test.ts` — all tests passed (7 + 14 tests across the two files in parallel lanes).\\n\\n## Evidence\\n\\nAs this is not a feature, not bugfix, I can\\u0026#39;t add any evidence, but I already tested full example from scratch:\\n1. Create one Telegram group\\n2. Create 2 topics in it.\\n3. Deploy 2 different projects, each on different topic.\\n4. Create GitLab issue from first topic and from second.\\n5. Perform issues from different topics.\\n6. Received 2 different PR in different GitLab repos as it should be. Full DevClaw project isolation (issues, repo, PR, etc).\\n\\n## Human Verification\\n\\nWhat you personally verified (not just CI), and how:\\n\\n- **Verified scenarios:** Unit tests added/updated for tool injection and Telegram `slash:` binding resolution.\\n- **Edge cases checked:** Explicit `messageThreadId` in tool args is not overridden; string `agentThreadId` coerces to number; tools without `messageThreadId` in schema are not wrapped.\\n- **What you did not verify:** I created two topics in the Telegram, successfully deployed different DevClaw projects in each, create GitLab issues from the Telegram with help of tools, performed two test issues in the different repositories.\\n\\n## Review Conversations\\n\\n- [x] I replied to or resolved every bot review conversation I addressed in this PR.\\n\\nIf a bot review conversation is addressed by this PR, resolve that conversation yourself. Do not leave bot review conversation cleanup for maintainers.\\n\\n## Compatibility / Migration\\n\\n- Backward compatible? **Yes**\\n- Config/env changes? **No**\\n- Migration needed? **No**\\n\\n## Failure Recovery (if this breaks)\\n\\n- **How to disable/revert this change quickly:** Revert the branch commit(s) touching `src/agents/openclaw-tools.ts`, `src/plugins/commands.ts`, and related tests; revert embedding import/default lines if those regress separately.\\n- **Files/config to restore:** Above source files to prior `main` versions.\\n- **Known bad symptoms reviewers should watch for:** Wrong Telegram command routing; plugin tools receiving unexpected `messageThreadId`; embedding model normalization pointing at wrong default (unlikely if revert is consistent).\\n\\n## Risks and Mitigations\\n\\n- **Risk:** Schema detection uses presence of `messageThreadId` in `parameters.properties` only — unusual schemas might not match.\\n  - **Mitigation:** Matches explicit JSON-schema style used by plugin tools; callers can still pass `messageThreadId` explicitly.\\n\\n- **Risk:** `agentThreadId` string coercion could parse unexpected strings.\\n- **Mitigation:** Only finite numeric parses are applied; blank/non-numeric strings result in no injection.\\n\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51783\",\"user\":{\"login\":\"netandreus\",\"id\":313477,\"profile_url\":\"https://github.com/netandreus\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/313477?v=4\"},\"labels\":[\"agents\",\"size: M\"],\"head\":{\"ref\":\"fix/48308-passing-message-thread-id\",\"sha\":\"fc726f13282a988bd18b32cf8b3298c063eaf39f\",\"repo\":{\"full_name\":\"netandreus/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fd2b3ed6af9c3ec6ee9e5e0f16410cf286159002\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T17:29:06Z\",\"updated_at\":\"2026-03-21T18:48:43Z\"},{\"number\":38435,\"title\":\"fix(googlechat): use globalThis.fetch to avoid gaxios node-fetch v3 ESM failure on Node.js 22+\",\"body\":\"## Problem\\n\\nAfter upgrading to v2026.3.2+, the Google Chat plugin fails with:\\n\\n```\\nGoogle Chat: failed (unknown) - Cannot convert undefined or null to object\\n```\\n\\nReported in: #33468, #33256\\n\\n## Root Cause\\n\\n`gaxios` (used by `google-auth-library`) determines which `fetch` implementation to use with this logic:\\n\\n```ts\\nstatic async #getFetch() {\\n  const hasWindow = typeof window !== \\u0026#39;undefined\\u0026#39; \\u0026amp;\\u0026amp; !!window;\\n  this.#fetch ||= hasWindow\\n    ? window.fetch\\n    : (await import(\\u0026#39;node-fetch\\u0026#39;)).default;  // \\u0026lt;-- problem\\n  return this.#fetch;\\n}\\n```\\n\\nOn Node.js (no `window`), it falls back to dynamically importing `node-fetch`. The bundled `node-fetch` version inside `gaxios`\\u0026#39;s own `node_modules` is **v3.3.2 (ESM-only)**. When loaded from a CJS bundle context on **Node.js 22+**, this fails with:\\n\\n```\\nTypeError: Cannot convert undefined or null to object\\n  at ModuleWrap. (node:internal/modules/esm/translators:213:12)\\n```\\n\\nNode.js 18+ ships with a native `globalThis.fetch`, but `gaxios` only checks for `window` (browser), not `globalThis.fetch` (Node.js).\\n\\n## Fix\\n\\nInject `globalThis.fetch` as the `fetchImplementation` on the gaxios transporter when available (Node.js 18+), so `gaxios` never attempts the failing `import(\\u0026#39;node-fetch\\u0026#39;)`.\\n\\nThis is done in `googlechat/src/auth.ts` via a `createGoogleAuth` wrapper that sets `transporter.defaults.fetchImplementation` after construction.\\n\\n## Testing\\n\\nVerified locally on Node.js v22.22.0 — both `Google Chat main` and `legal` accounts now show `works` in `openclaw channels status --probe`.\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/38435\",\"user\":{\"login\":\"novan\",\"id\":316959,\"profile_url\":\"https://github.com/novan\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/316959?v=4\"},\"labels\":[\"channel: googlechat\",\"size: XS\"],\"head\":{\"ref\":\"fix/googlechat-gaxios-node-fetch-esm\",\"sha\":\"1511f8620561cd65e8b48883bd10121f999b5a7a\",\"repo\":{\"full_name\":\"novan/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"74959fc1fded97cf3de2d6f1acd6dfda87f5d593\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-07T00:53:59Z\",\"updated_at\":\"2026-03-21T18:48:39Z\"}]"}]}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_011x3MJDU6W2JE9vNxy1ZVjK","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"I have recent PRs. Now I need to check their check runs to find failed ones. Let me get check runs for the recent PRs. I'll check the ones that are most likely to have CI runs. Let me get check runs for several recent PRs in parallel.\n\nThe PRs I'll check:\n1. #51673 (fix(core): preserve totalTokens...) - sha: 65a3724a94c8f92a219206f0fa6cdd9d6b6b9c75\n2. #51817 (fix: mark googlechat...) - sha: 93772d71a799c7d0d7c8026ae7c400c1bd264046\n\n\n3. #51784 (fix: Control UI model picker...) - sha: 2bc2a71dd24f2f87f8a60c64596be86a4971b31c\n4. #51808 (msteams: implement Teams AI...) - sha: b02728c89dfb1ac869297d762ea3be6c17706ca1\n5. #51801 (fix(cli): use local device pairing...) - sha: 0787edd5d5bbde020c6722f543bbcef1c7faafb1\n\nNow I'm fetching the check runs for all of these in parallel.","signature":" "}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":12834,"cache_read_input_tokens":22415,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":12834},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"b231f9ac-d69c-484b-a769-396512ab3728"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_011x3MJDU6W2JE9vNxy1ZVjK","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me get the check runs for the most recent PRs in parallel to find failed workflows."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":12834,"cache_read_input_tokens":22415,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":12834},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"70a173bb-207b-47e4-b373-9835c1fac118"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_011x3MJDU6W2JE9vNxy1ZVjK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EKNmdJvdBzRqqjJSXrgiHa","name":"mcp__github__pull_request_read","input":{"method":"get_check_runs","owner":"openclaw","repo":"openclaw","pullNumber":51673},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":12834,"cache_read_input_tokens":22415,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":12834},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"3dbf8901-5366-446c-b0c8-f5d090dd4089"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_011x3MJDU6W2JE9vNxy1ZVjK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PCv23XmqN99XE28486VNhy","name":"mcp__github__pull_request_read","input":{"method":"get_check_runs","owner":"openclaw","repo":"openclaw","pullNumber":51817},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":12834,"cache_read_input_tokens":22415,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":12834},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"7adeeb41-9408-4611-876e-4ac59356e7e0"}
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{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01EmQ8QzfLYMFZhnsuWTVuaU","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"From the results, I can see that:\n- PR #51673 has a failed check run: `check` job (id: 68033738903) with conclusion `failure`\n- PR #51784 only has label/backfill jobs (no CI failures)\n- PR #51808 only has label/backfill jobs (no CI failures)\n- PR #51801 has CI jobs but none have failed so far (many still in_progress)\n- PR #51817 has CI jobs still running\n\nSo only PR #51673 has a failure. The run ID is `23386272096` (from the URL) and the failed job is `check`.\n\n\nI realize I need to find more failed workflow runs beyond just checking individual PRs. Since I only found one failure so far, let me expand my search by looking at additional PRs and checking recent commits on the main branch for failed checks. I need to expand my search across more PRs to find additional failed workflow runs, so let me check the next page of results.","signature":" "}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":13199,"cache_read_input_tokens":35249,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":13199},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"71a3f4fb-fea4-4bc7-94a9-6fa1631e58f6"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01EmQ8QzfLYMFZhnsuWTVuaU","type":"message","role":"assistant","content":[{"type":"text","text":"I found one failed run so far. Let me check more PRs to find 5 total failed workflow runs."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":13199,"cache_read_input_tokens":35249,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":13199},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"bc6f7308-265f-438c-86e8-e5ffd1b7c2da"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01EmQ8QzfLYMFZhnsuWTVuaU","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018o67LBo24aL2o5H99irv2s","name":"mcp__github__list_pull_requests","input":{"owner":"openclaw","repo":"openclaw","state":"all","perPage":"10","sort":"updated","direction":"desc","page":"2"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":13199,"cache_read_input_tokens":35249,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":13199},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"de9e4da1-40a3-40e9-b597-0ed0ea49bb62"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018o67LBo24aL2o5H99irv2s","type":"tool_result","content":[{"type":"text","text":"[{\"number\":51731,\"title\":\"refactor(agents): collect-then-attach media artifacts instead of immediate delivery\",\"body\":\"## Summary\\n\\nArchitectural improvement on top of #51648. Tools now describe what they produced (`details.media`) instead of declaring delivery instructions (`details.reply`). Media is collected during tool execution and attached to the assistant reply through the block reply pipeline, replacing the immediate `onToolResult` delivery path.\\n\\n### Changes\\n\\n**`details.reply` renamed to `details.media`**: tools report produced artifacts, not delivery instructions. The consumer decides delivery.\\n\\n**Collect-then-attach instead of immediate push**:\\n- Handler stashes artifacts in `state.pendingMediaArtifacts` (no immediate delivery)\\n- `emitBlockChunk` drains pending artifacts into the next block reply\\n- Single delivery path (`onBlockReply`) instead of two competing ones (`onToolResult` + `onBlockReply`)\\n- `flushBlockReplyBuffer` handles orphaned artifacts when there is no text reply (e.g. `SILENT_REPLY_TOKEN` after TTS)\\n\\n**`messagingToolSentMediaUrls` kept separate**: artifact URLs are not pushed into this ledger. It tracks media the agent sent outbound via messaging tools (opposite direction from reply delivery). Block streaming already deduplicates via `shouldDropFinalPayloads` / `blockReplyPipeline.hasSentPayload`.\\n\\n### Files\\n\\n- `image-generate-tool.ts`, `tts-tool.ts`: `details.reply` to `details.media`\\n- `pi-embedded-subscribe.tools.ts`: `ToolMediaArtifact` type, `extractToolMediaArtifact` replaces `extractToolResultReplyPayload`, same trust filtering\\n- `pi-embedded-subscribe.handlers.tools.ts`: stashes artifacts instead of delivering via `onToolResult`\\n- `pi-embedded-subscribe.handlers.types.ts`: `pendingMediaArtifacts` added to state\\n- `pi-embedded-subscribe.ts`: `emitBlockChunk` drains artifacts into block replies, `flushBlockReplyBuffer` handles orphans\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51731\",\"user\":{\"login\":\"christianklotz\",\"id\":69443,\"profile_url\":\"https://github.com/christianklotz\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/69443?v=4\"},\"labels\":[\"agents\",\"maintainer\",\"size: M\"],\"head\":{\"ref\":\"fix/generated-media-reply-lane-v2\",\"sha\":\"1f5524ef33d96aabf27c40172696b604a3f1f6fb\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"fix/generated-media-reply-lane\",\"sha\":\"3ac54a21b328d4efe82e1402f2a762d2e5531994\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T16:26:36Z\",\"updated_at\":\"2026-03-21T18:48:10Z\"},{\"number\":49420,\"title\":\"fix(acp): dispatch abort signal with timeout to prevent ghost turns and stuck sessions\",\"body\":\"Supersedes #36860 (clean rebase onto current upstream/main, all review feedback addressed).\\n\\nAdds ghost turn prevention, abort-aware delivery guards, and cleanup timeouts to the ACP dispatch path.\\n\\n**dispatch-acp.ts:** Wrap runTurn with withTimeout using agent-configured timeout. Add turnAbortFired flag + lastDeliveryPromise tracking to prevent contradictory responses when abort fires mid-delivery. Add onCombinedAbort callback for cancelSession coverage.\\n\\n**manager.core.ts:** Pass input.signal to withSessionActor for ghost turn prevention. Fire onCombinedAbort on combined signal abort. Add 5s cleanup timeouts for reconcile/close. Add reconcileAbortController.\\n\\n**manager.types.ts:** Add onCombinedAbort to AcpRunTurnInput.\\n\\n**manager.identity-reconcile.ts:** Forward abort signal to runtime.getStatus.\\n\\n**Tests:** Coverage for ghost turn prevention, turnAbortFired suppression, timeout path, cleanup timeout.\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/49420\",\"user\":{\"login\":\"amittell\",\"id\":1388680,\"profile_url\":\"https://github.com/amittell\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1388680?v=4\"},\"labels\":[\"size: XL\"],\"head\":{\"ref\":\"fix/acp-dispatch-abort-signal-v3\",\"sha\":\"b6bb754ce637b51d0aa9d738552c46811445cc70\",\"repo\":{\"full_name\":\"amittell/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-18T03:41:06Z\",\"updated_at\":\"2026-03-21T18:46:52Z\"},{\"number\":51446,\"title\":\"feat(apple-notes): update skill for memo fork with pipx install and notes api\",\"body\":\"## Summary\\n\\nUpdates the `apple-notes` skill to point to the [jacob-bayer/memo](https://github.com/jacob-bayer/memo) fork, which includes:\\n\\n- A new non-interactive `memo notes api` subcommand designed for agent/script use\\n- AppleScript injection prevention (escaping user-supplied values before interpolation)\\n\\n## Background\\n\\nThe upstream author has explicitly declined to add non-interactive / agent-friendly features to memo. When this functionality was proposed in [antoniorodr/memo#30](https://github.com/antoniorodr/memo/pull/30), the response was:\\n\\n\\u0026gt; \\u0026#34;There is no way to pass content non-interactively because Memo was not created with AI Agents in mind. I am not interested into making Memo more \\u0026#39;AI friendly\\u0026#39; at the moment.\\u0026#34;\\n\\nThis fork exists to fill that gap for OpenClaw users.\\n\\n## Changes\\n\\n### Install method\\n- **Before:** `brew tap antoniorodr/memo \\u0026amp;\\u0026amp; brew install antoniorodr/memo/memo`\\n- **After:** `brew tap jacob-bayer/tap \\u0026amp;\\u0026amp; brew install jacob-bayer/tap/memo` via [jacob-bayer/homebrew-tap](https://github.com/jacob-bayer/homebrew-tap)\\n\\n### New `notes api` subcommand documentation\\nDocuments the machine-friendly API added in the fork:\\n- `memo notes api list` — list notes (tsv/json/lines output)\\n- `memo notes api show ` — fetch note body as Markdown\\n- `memo notes api edit ` — replace note body from stdin\\n- `memo notes api add --folder ` — create note from stdin\\n- `memo notes api delete ` — delete a note\\n- `memo notes api move  ` — move a note\\n- `memo notes api folders` — list folders\\n- `memo notes api search ` — search notes\\n- `memo notes api remove  --force` — delete a folder\\n- `memo notes api export --path ` — export notes\\n\\nThese enable agent workflows where parameters may originate from untrusted sources — the fork addresses this with AppleScript string escaping.\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51446\",\"user\":{\"login\":\"jacob-bayer\",\"id\":34523373,\"profile_url\":\"https://github.com/jacob-bayer\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/34523373?v=4\"},\"labels\":[\"size: XS\"],\"head\":{\"ref\":\"feat/apple-notes-api-install\",\"sha\":\"7f07c28d7a23a56983674554213024e70a702421\",\"repo\":{\"full_name\":\"jacob-bayer/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T05:55:57Z\",\"updated_at\":\"2026-03-21T18:46:37Z\"},{\"number\":51799,\"title\":\"fix(agents): strip unsupported strict tool flags for OpenAI proxies\",\"body\":\"## Summary\\n- strip `function.strict` from tool payloads for non-native OpenAI-compatible endpoints unless compat explicitly opts in\\n- keep native OpenAI requests unchanged\\n- add regression coverage for LM Studio-style endpoints and explicit strict-mode support\\n\\n## Testing\\n- pre-commit `pnpm check` during commit\\n- targeted: `src/agents/pi-embedded-runner/extra-params.openai.test.ts`\\n\\nFixes #51742\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51799\",\"user\":{\"login\":\"RichardCao\",\"id\":4612401,\"profile_url\":\"https://github.com/RichardCao\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/4612401?v=4\"},\"labels\":[\"agents\",\"size: S\"],\"head\":{\"ref\":\"issue-51742\",\"sha\":\"83cf1b88114335cbc7336147badfdbcc13289bd3\",\"repo\":{\"full_name\":\"RichardCao/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T18:09:10Z\",\"updated_at\":\"2026-03-21T18:46:33Z\"},{\"number\":49220,\"title\":\"fix(memory): strip inbound metadata and reply tags before session indexing\",\"body\":\"## Problem\\n\\n`buildSessionEntry()` in `src/memory/session-files.ts` embeds raw session transcript text into the memory index without stripping OpenClaw-injected metadata blocks. This causes:\\n\\n- `Conversation info (untrusted metadata): {...}` JSON blocks\\n- Sender info blocks\\n- Reply context blocks\\n- Inline directive tags (`[[reply_to_current]]`, `[[reply_to:...]]`, etc.)\\n\\n...to be vectorized and indexed, polluting memory search quality with AI-facing infrastructure noise that should never appear in searchable history.\\n\\n## Root Cause\\n\\nThe text pipeline was:\\n```ts\\nconst text = extractSessionText(message.content);\\n// text already has newlines collapsed by normalizeSessionText()\\nconst safe = redactSensitiveText(text, { mode: \\u0026#39;tools\\u0026#39; });\\n```\\n\\n`stripInboundMetadata()` is line-based (uses sentinel line detection), so stripping after `normalizeSessionText()` (which collapses newlines to spaces) would never match the fenced ```json blocks.\\n\\n## Fix\\n\\nStripping must happen on the original multi-line content **before** normalization.\\n\\nChanges to `src/memory/session-files.ts` only:\\n\\n1. **`stripRawContentMeta(raw)`** — helper that calls `stripInboundMetadata()` then `stripInlineDirectiveTagsForDisplay()` on the raw text\\n2. **`extractAndStripSessionText(content)`** — mirrors `extractSessionText()` but applies `stripRawContentMeta()` before `normalizeSessionText()` for each text block\\n3. **`buildSessionEntry()`** — now calls `extractAndStripSessionText()` instead of `extractSessionText()`\\n\\nBoth imported helpers already existed:\\n- `stripInboundMetadata()` — `src/auto-reply/reply/strip-inbound-meta.ts`\\n- `stripInlineDirectiveTagsForDisplay()` — `src/utils/directive-tags.ts`\\n\\n## Tests\\n\\nAdded to `src/memory/session-files.test.ts`:\\n\\n- User message with `Conversation info (untrusted metadata):` block → stripped from indexed text, actual message content preserved\\n- Message with `[[reply_to_current]]` tag → tag stripped, message content preserved\\n- Normal message with no injected metadata → passes through unchanged\\n\\n## Scope\\n\\nOnly `src/memory/session-files.ts` and `src/memory/session-files.test.ts` are modified. No other files touched.\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/49220\",\"user\":{\"login\":\"amittell\",\"id\":1388680,\"profile_url\":\"https://github.com/amittell\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1388680?v=4\"},\"labels\":[\"size: M\"],\"head\":{\"ref\":\"fix/memory-session-index-strip-inbound-meta\",\"sha\":\"d9d886770be2556786b09d0d2aa7913b9b4500d6\",\"repo\":{\"full_name\":\"amittell/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-17T20:00:35Z\",\"updated_at\":\"2026-03-21T18:45:41Z\"},{\"number\":51811,\"title\":\"fix(daemon): repair stale LaunchAgent plist after global updates\",\"body\":\"Fixes #51564\\n\\nGlobal `npm update -g openclaw` on macOS can leave an existing `~/Library/LaunchAgents/ai.openclaw.gateway.plist` pointing at stale entrypoint paths until the user manually reruns `openclaw doctor --fix`. This PR teaches the install flow to reuse the existing gateway service repair logic during `postinstall`, so upgrades can refresh that stale LaunchAgent configuration automatically instead of silently breaking the gateway on the next restart.\\n\\nThe new repair path stays intentionally narrow. It only runs for global npm installs on Darwin, only when the default gateway LaunchAgent plist already exists, and it never fails the install if the repair cannot run. The postinstall shim loads a dedicated bundled entry, invokes the existing doctor-backed service repair in a non-interactive mode, and converts repair failures into warnings. Regression tests cover the positive repair path, the explicit opt-out env var, and the error-swallowing behavior.\\n\\n## Testing\\n\\n- `pnpm exec vitest run src/postinstall-gateway-service.test.ts`\\n- `pnpm build`\\n- `scripts/committer \\u0026#34;fix(daemon): repair stale LaunchAgent plist after global updates\\u0026#34; package.json postinstall.mjs src/postinstall-gateway-service.ts src/postinstall-gateway-service.test.ts tsdown.config.ts`\\n\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51811\",\"user\":{\"login\":\"RichardCao\",\"id\":4612401,\"profile_url\":\"https://github.com/RichardCao\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/4612401?v=4\"},\"labels\":[\"docker\",\"size: M\"],\"head\":{\"ref\":\"fix/issue-51564-launchagent-stale-plist\",\"sha\":\"dec51390a367a6adc6f9032b2a248f13e8add222\",\"repo\":{\"full_name\":\"RichardCao/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T18:34:35Z\",\"updated_at\":\"2026-03-21T18:45:39Z\"},{\"number\":51200,\"title\":\"Pass runtime context into assemble\",\"body\":\"## Summary\\n\\n- Problem: `assemble()` only received a total `tokenBudget`, so context-engine plugins could not see host-owned prompt costs such as the base system prompt, tool schema, or the current user prompt.\\n- Why it matters: budget-aware memory engines had to guess how much context was already consumed by the host runtime, which made prompt budgeting less accurate and could lead to overly aggressive or overly loose memory injection.\\n- What changed:\\n  - added an optional `runtimeContext` field to `ContextEngine.assemble()`\\n  - passed runtime prompt budget signals from the embedded runner into `assemble()`\\n  - preserved legacy compatibility for engines that reject unknown fields like `runtimeContext`\\n  - added tests and docs for the new assemble input\\n- What did NOT change (scope boundary):\\n  - no change to memory plugin APIs\\n  - no change to retrieval behavior by itself\\n  - no forced behavior change for legacy engines beyond exposing optional metadata\\n\\n## Change Type\\n\\n- [x] Feature\\n- [x] Refactor required for the fix\\n- [x] Docs\\n\\n## Scope\\n\\n- [x] Gateway / orchestration\\n- [x] API / contracts\\n\\n## Linked Issue/PR\\n\\n- Related # N/A\\n\",\"state\":\"closed\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51200\",\"user\":{\"login\":\"xiuminsama99\",\"id\":198452741,\"profile_url\":\"https://github.com/xiuminsama99\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/198452741?v=4\"},\"labels\":[\"docs\",\"cli\",\"commands\",\"agents\",\"size: XS\"],\"head\":{\"ref\":\"codex/assemble-runtime-context-budget\",\"sha\":\"d6367c2c55a2ef40f189300862d022b0276cc017\",\"repo\":{\"full_name\":\"xiuminsama99/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-20T19:24:05Z\",\"updated_at\":\"2026-03-21T18:45:29Z\",\"closed_at\":\"2026-03-21T18:45:17Z\"},{\"number\":34222,\"title\":\"fix: use content hash for memory flush dedup instead of compactionCount (#30115)\",\"body\":\"## What\\nReplace event-based memory flush deduplication (`compactionCount`) with state-based deduplication (content hash) to prevent duplicate MEMORY.md writes when compaction aborts.\\n\\n## Why\\nFixes #30115 — Compaction abort triggers duplicate memory flushes in MEMORY.md.\\n\\nThe existing dedup uses `compactionCount` (an event counter) to decide whether to skip a flush. When compaction aborts and retries, the counter increments but the session context stays the same, causing the same content to be flushed repeatedly (4-7x duplicate entries reported).\\n\\nRoot cause: `compactionCount` conflates \\u0026#34;compaction cycle count\\u0026#34; with \\u0026#34;content has changed\\u0026#34; — these are independent concerns. Two different compaction cycles can see identical context (abort → retry scenario), so event-based dedup is fundamentally wrong for this use case.\\n\\n## How\\n- **State-based dedup**: compute a SHA-256 hash (truncated to 16 hex chars) of `messages.length + last 3 user/assistant message contents` before each flush. If the hash matches the stored `memoryFlushContextHash`, skip the flush.\\n- **Two-layer design**: `shouldRunMemoryFlush()` unchanged (token threshold gate), hash check added as second gate in `runMemoryFlushIfNeeded()`.\\n- **`willRetry` fix**: `onAgentEvent` now checks `!evt.data?.willRetry` before marking `memoryCompactionCompleted = true`, preventing retry-in-progress compaction from being incorrectly treated as completed.\\n- **Performance**: `readTranscriptTailMessages()` reads only the last 64KB of the transcript file (not the full file).\\n- **Hash timing**: stores the hash computed *before* the flush run (not after), since the flush turn itself writes to the transcript and would change the hash.\\n\\n### Scenario behavior\\n| Scenario | Behavior |\\n|----------|----------|\\n| Compaction abort | messages unchanged → hash unchanged → skip ✅ |\\n| Compaction success | messages compressed → hash changed → allow flush ✅ |\\n| New messages | tail content changed → hash changed → allow flush ✅ |\\n| Persistence failure | `contextHashBeforeFlush` used in-memory → no re-flush within session ✅ |\\n\\n## Files changed (3 + 1 test)\\n- `src/auto-reply/reply/memory-flush.ts` — new `computeContextHash()` function\\n- `src/auto-reply/reply/agent-runner-memory.ts` — hash check gate + willRetry fix + tail reader\\n- `src/config/sessions/types.ts` — add `memoryFlushContextHash` field to `SessionEntry`\\n- `src/auto-reply/reply/memory-flush.test.ts` — 8 unit tests for `computeContextHash`\\n\\n## Testing\\n- [x] `pnpm build` passes\\n- [x] `pnpm check` passes (lint + format)\\n- [x] `pnpm test` — 811/812 pass (1 pre-existing failure in `process-respawn.test.ts`)\\n- [x] 8 new unit tests for `computeContextHash` (empty input, object content, undefined content, system message filtering, length differentiation, tail behavior)\\n- [x] AI-assisted (OpenClaw agents 李飞飞/陈皮皮/毛豆豆, cross-reviewed, fully tested)\\n\\n## Backward compatibility\\n- `memoryFlushContextHash` undefined → falls back to existing `compactionCount` logic\\n- `memoryFlushCompactionCount` field preserved (not removed)\\n- First flush after upgrade runs normally (hash is empty = allow), subsequent flushes use hash dedup\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/34222\",\"user\":{\"login\":\"lml2468\",\"id\":39320777,\"profile_url\":\"https://github.com/lml2468\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/39320777?v=4\"},\"labels\":[\"cli\",\"size: M\"],\"assignees\":[\"jalehman\"],\"head\":{\"ref\":\"fix/memory-flush-dedup\",\"sha\":\"bce6f0bda03a203cd5c565d762334c8618197fc3\",\"repo\":{\"full_name\":\"lml2468/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-04T09:13:16Z\",\"updated_at\":\"2026-03-21T18:45:21Z\"},{\"number\":51816,\"title\":\"ACP: add hung-turn starvation repro\",\"body\":\"## Summary\\n\\n- Problem: a bound ACP session can stop replying if one `runtime.runTurn()` never completes, because later turns on that session stay queued behind the stuck turn.\\n- Why it matters: Discord ACP bindings like `#codex-1` can look dead until the session is reset, even though the gateway is still up.\\n- What changed: added a characterization test in `src/acp/control-plane/manager.test.ts` that reproduces the starvation path deterministically.\\n- What did NOT change (scope boundary): this PR does not add timeout, cancellation, or recovery logic yet.\\n\\n## Change Type (select all)\\n\\n- [x] Bug fix\\n- [ ] Feature\\n- [ ] Refactor required for the fix\\n- [ ] Docs\\n- [ ] Security hardening\\n- [ ] Chore/infra\\n\\n## Scope (select all touched areas)\\n\\n- [x] Gateway / orchestration\\n- [ ] Skills / tool execution\\n- [ ] Auth / tokens\\n- [ ] Memory / storage\\n- [ ] Integrations\\n- [ ] API / contracts\\n- [ ] UI / DX\\n- [ ] CI/CD / infra\\n\\n## Linked Issue/PR\\n\\n- None\\n\\n## User-visible / Behavior Changes\\n\\nNone.\\n\\n## Security Impact (required)\\n\\n- New permissions/capabilities? (`No`)\\n- Secrets/tokens handling changed? (`No`)\\n- New/changed network calls? (`No`)\\n- Command/tool execution surface changed? (`No`)\\n- Data access scope changed? (`No`)\\n- If any `Yes`, explain risk + mitigation:\\n\\n## Repro + Verification\\n\\n### Environment\\n\\n- OS: Linux\\n- Runtime/container: Node 22, `pnpm test` wrapper\\n- Model/provider: N/A\\n- Integration/channel (if any): ACP session manager; repro mirrors a persistent Discord-bound ACP session\\n- Relevant config (redacted): persistent ACP binding on a single session\\n\\n### Steps\\n\\n1. Create an `AcpSessionManager` whose fake runtime blocks forever on the first `runTurn()` call.\\n2. Start one turn for a session, then enqueue a second turn for the same session.\\n3. Observe that the second turn never starts until the first blocked turn is manually released.\\n\\n### Expected\\n\\n- A hung turn should not be able to starve all later turns on the same bound session indefinitely.\\n\\n### Actual\\n\\n- `AcpSessionManager.runTurn()` waits forever on the first hung turn, keeps the session actor occupied, and leaves later turns queued.\\n\\n## Evidence\\n\\nAttach at least one:\\n\\n- [ ] Failing test/log before + passing after\\n- [x] Trace/log snippets\\n- [ ] Screenshot/recording\\n- [ ] Perf numbers (if relevant)\\n\\nLive symptom evidence during investigation:\\n\\n- bound Discord ACP session state stayed `running` with `abortedLastRun: true`\\n- the corresponding ACP worker process stayed idle while later channel messages received no reply\\n- code inspection shows `src/auto-reply/reply/dispatch-acp.ts` awaits `runTurn()`, and `src/acp/control-plane/manager.core.ts` serializes turns per session without a manager-side timeout around `for await (const event of runtime.runTurn(...))`\\n\\n## Human Verification (required)\\n\\nWhat you personally verified (not just CI), and how:\\n\\n- Verified scenarios: `pnpm test -- src/acp/control-plane/manager.test.ts -t \\u0026#34;reproduces queue starvation when a runtime turn never completes\\u0026#34;`\\n- Edge cases checked: the second queued turn stays pending until the first is released; the observability snapshot reports the session as active with queued work.\\n- What you did **not** verify: no runtime fix yet; no end-to-end Discord recovery test yet.\\n\\n## Review Conversations\\n\\n- [x] I replied to or resolved every bot review conversation I addressed in this PR.\\n- [x] I left unresolved only the conversations that still need reviewer or maintainer judgment.\\n\\nIf a bot review conversation is addressed by this PR, resolve that conversation yourself. Do not leave bot review conversation cleanup for maintainers.\\n\\n## Compatibility / Migration\\n\\n- Backward compatible? (`Yes`)\\n- Config/env changes? (`No`)\\n- Migration needed? (`No`)\\n- If yes, exact upgrade steps:\\n\\n## Failure Recovery (if this breaks)\\n\\n- How to disable/revert this change quickly: revert commit `b45ffc1476`\\n- Files/config to restore: `src/acp/control-plane/manager.test.ts`\\n- Known bad symptoms reviewers should watch for: none beyond a test expectation mismatch if the manager behavior changes during fix work.\\n\\n## Risks and Mitigations\\n\\n- Risk: this is a repro-only PR and could be mistaken for a full fix.\\n  - Mitigation: kept the PR in draft and called out the scope boundary explicitly.\\n\",\"state\":\"open\",\"draft\":true,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51816\",\"user\":{\"login\":\"dutifulbob\",\"id\":261991368,\"profile_url\":\"https://github.com/dutifulbob\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/261991368?v=4\"},\"labels\":[\"size: S\"],\"head\":{\"ref\":\"fix/acp-runturn-starvation-repro\",\"sha\":\"b45ffc1476ff7cbef3970e252ce6048d7e9760fd\",\"repo\":{\"full_name\":\"osolmaz/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform.\"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T18:44:59Z\",\"updated_at\":\"2026-03-21T18:45:12Z\"},{\"number\":48417,\"title\":\"fix(agent): do not persist fallback model as session runtime model\",\"body\":\"## Summary\\n\\nFixes #47705.\\n\\nWhen the primary model is temporarily unavailable (overloaded, rate-limited) and a fallback handles the request, the fallback model was being written back to the session store via `setSessionRuntimeModel`. On every subsequent request `resolveSessionModelRef` would return the fallback model, so the configured primary was **never retried** after it recovered.\\n\\n## Root cause\\n\\n`updateSessionStoreAfterAgentRun` unconditionally calls `setSessionRuntimeModel(next, { provider: providerUsed, model: modelUsed })` after every run. When a fallback ran, `providerUsed`/`modelUsed` reflect the fallback, and this gets written to `entry.model` / `entry.modelProvider`. `resolveSessionModelRef` then returns the stored runtime model on every future call, bypassing the configured primary entirely.\\n\\n## Fix\\n\\nAdd an `isFromFallback` parameter to `updateSessionStoreAfterAgentRun`. When true, skip `setSessionRuntimeModel` so the session entry retains no runtime model (or retains its previous primary if one was stored). On the next request the session has no stale fallback recorded, so `resolveSessionModelRef` returns the configured primary and it gets a fresh retry.\\n\\nThe same guard is applied in the cron/isolated-agent path, which calls `setSessionRuntimeModel` directly.\\n\\nThe `isFromFallback` flag is computed at the agent.ts callsite as:\\n```ts\\nisFromFallback: fallbackModel !== model || fallbackProvider !== provider\\n```\\n\\n## What this does NOT change\\n\\n- Context token tracking still uses the actual model that ran (correct for prompt sizing)\\n- CLI session ID recording is unaffected\\n- The fallback model is still used for the current run — only the persistence step is skipped\\n- No change to `resolveSessionModelRef` itself\\n\\n## Testing\\n\\nExisting unit tests pass. The fix is covered by the existing `session-store.test.ts` and `run.cron-model-override.test.ts` suites (38 tests across 9 files, all green).\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/48417\",\"user\":{\"login\":\"amittell\",\"id\":1388680,\"profile_url\":\"https://github.com/amittell\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1388680?v=4\"},\"labels\":[\"commands\",\"agents\",\"size: M\"],\"head\":{\"ref\":\"fix/47705-fallback-model-no-persist\",\"sha\":\"7bc6f9702b2856b52c139b3fee26657b18472b48\",\"repo\":{\"full_name\":\"amittell/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-16T18:14:36Z\",\"updated_at\":\"2026-03-21T18:44:40Z\"}]"}]}]},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"1d728507-c38c-43a0-873d-1be58d58868b","timestamp":"2026-03-21T18:53:28.252Z","tool_use_result":[{"type":"text","text":"[{\"number\":51731,\"title\":\"refactor(agents): collect-then-attach media artifacts instead of immediate delivery\",\"body\":\"## Summary\\n\\nArchitectural improvement on top of #51648. Tools now describe what they produced (`details.media`) instead of declaring delivery instructions (`details.reply`). Media is collected during tool execution and attached to the assistant reply through the block reply pipeline, replacing the immediate `onToolResult` delivery path.\\n\\n### Changes\\n\\n**`details.reply` renamed to `details.media`**: tools report produced artifacts, not delivery instructions. The consumer decides delivery.\\n\\n**Collect-then-attach instead of immediate push**:\\n- Handler stashes artifacts in `state.pendingMediaArtifacts` (no immediate delivery)\\n- `emitBlockChunk` drains pending artifacts into the next block reply\\n- Single delivery path (`onBlockReply`) instead of two competing ones (`onToolResult` + `onBlockReply`)\\n- `flushBlockReplyBuffer` handles orphaned artifacts when there is no text reply (e.g. `SILENT_REPLY_TOKEN` after TTS)\\n\\n**`messagingToolSentMediaUrls` kept separate**: artifact URLs are not pushed into this ledger. It tracks media the agent sent outbound via messaging tools (opposite direction from reply delivery). Block streaming already deduplicates via `shouldDropFinalPayloads` / `blockReplyPipeline.hasSentPayload`.\\n\\n### Files\\n\\n- `image-generate-tool.ts`, `tts-tool.ts`: `details.reply` to `details.media`\\n- `pi-embedded-subscribe.tools.ts`: `ToolMediaArtifact` type, `extractToolMediaArtifact` replaces `extractToolResultReplyPayload`, same trust filtering\\n- `pi-embedded-subscribe.handlers.tools.ts`: stashes artifacts instead of delivering via `onToolResult`\\n- `pi-embedded-subscribe.handlers.types.ts`: `pendingMediaArtifacts` added to state\\n- `pi-embedded-subscribe.ts`: `emitBlockChunk` drains artifacts into block replies, `flushBlockReplyBuffer` handles orphans\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51731\",\"user\":{\"login\":\"christianklotz\",\"id\":69443,\"profile_url\":\"https://github.com/christianklotz\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/69443?v=4\"},\"labels\":[\"agents\",\"maintainer\",\"size: M\"],\"head\":{\"ref\":\"fix/generated-media-reply-lane-v2\",\"sha\":\"1f5524ef33d96aabf27c40172696b604a3f1f6fb\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"fix/generated-media-reply-lane\",\"sha\":\"3ac54a21b328d4efe82e1402f2a762d2e5531994\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T16:26:36Z\",\"updated_at\":\"2026-03-21T18:48:10Z\"},{\"number\":49420,\"title\":\"fix(acp): dispatch abort signal with timeout to prevent ghost turns and stuck sessions\",\"body\":\"Supersedes #36860 (clean rebase onto current upstream/main, all review feedback addressed).\\n\\nAdds ghost turn prevention, abort-aware delivery guards, and cleanup timeouts to the ACP dispatch path.\\n\\n**dispatch-acp.ts:** Wrap runTurn with withTimeout using agent-configured timeout. Add turnAbortFired flag + lastDeliveryPromise tracking to prevent contradictory responses when abort fires mid-delivery. Add onCombinedAbort callback for cancelSession coverage.\\n\\n**manager.core.ts:** Pass input.signal to withSessionActor for ghost turn prevention. Fire onCombinedAbort on combined signal abort. Add 5s cleanup timeouts for reconcile/close. Add reconcileAbortController.\\n\\n**manager.types.ts:** Add onCombinedAbort to AcpRunTurnInput.\\n\\n**manager.identity-reconcile.ts:** Forward abort signal to runtime.getStatus.\\n\\n**Tests:** Coverage for ghost turn prevention, turnAbortFired suppression, timeout path, cleanup timeout.\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/49420\",\"user\":{\"login\":\"amittell\",\"id\":1388680,\"profile_url\":\"https://github.com/amittell\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1388680?v=4\"},\"labels\":[\"size: XL\"],\"head\":{\"ref\":\"fix/acp-dispatch-abort-signal-v3\",\"sha\":\"b6bb754ce637b51d0aa9d738552c46811445cc70\",\"repo\":{\"full_name\":\"amittell/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-18T03:41:06Z\",\"updated_at\":\"2026-03-21T18:46:52Z\"},{\"number\":51446,\"title\":\"feat(apple-notes): update skill for memo fork with pipx install and notes api\",\"body\":\"## Summary\\n\\nUpdates the `apple-notes` skill to point to the [jacob-bayer/memo](https://github.com/jacob-bayer/memo) fork, which includes:\\n\\n- A new non-interactive `memo notes api` subcommand designed for agent/script use\\n- AppleScript injection prevention (escaping user-supplied values before interpolation)\\n\\n## Background\\n\\nThe upstream author has explicitly declined to add non-interactive / agent-friendly features to memo. When this functionality was proposed in [antoniorodr/memo#30](https://github.com/antoniorodr/memo/pull/30), the response was:\\n\\n\\u0026gt; \\u0026#34;There is no way to pass content non-interactively because Memo was not created with AI Agents in mind. I am not interested into making Memo more \\u0026#39;AI friendly\\u0026#39; at the moment.\\u0026#34;\\n\\nThis fork exists to fill that gap for OpenClaw users.\\n\\n## Changes\\n\\n### Install method\\n- **Before:** `brew tap antoniorodr/memo \\u0026amp;\\u0026amp; brew install antoniorodr/memo/memo`\\n- **After:** `brew tap jacob-bayer/tap \\u0026amp;\\u0026amp; brew install jacob-bayer/tap/memo` via [jacob-bayer/homebrew-tap](https://github.com/jacob-bayer/homebrew-tap)\\n\\n### New `notes api` subcommand documentation\\nDocuments the machine-friendly API added in the fork:\\n- `memo notes api list` — list notes (tsv/json/lines output)\\n- `memo notes api show ` — fetch note body as Markdown\\n- `memo notes api edit ` — replace note body from stdin\\n- `memo notes api add --folder ` — create note from stdin\\n- `memo notes api delete ` — delete a note\\n- `memo notes api move  ` — move a note\\n- `memo notes api folders` — list folders\\n- `memo notes api search ` — search notes\\n- `memo notes api remove  --force` — delete a folder\\n- `memo notes api export --path ` — export notes\\n\\nThese enable agent workflows where parameters may originate from untrusted sources — the fork addresses this with AppleScript string escaping.\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51446\",\"user\":{\"login\":\"jacob-bayer\",\"id\":34523373,\"profile_url\":\"https://github.com/jacob-bayer\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/34523373?v=4\"},\"labels\":[\"size: XS\"],\"head\":{\"ref\":\"feat/apple-notes-api-install\",\"sha\":\"7f07c28d7a23a56983674554213024e70a702421\",\"repo\":{\"full_name\":\"jacob-bayer/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T05:55:57Z\",\"updated_at\":\"2026-03-21T18:46:37Z\"},{\"number\":51799,\"title\":\"fix(agents): strip unsupported strict tool flags for OpenAI proxies\",\"body\":\"## Summary\\n- strip `function.strict` from tool payloads for non-native OpenAI-compatible endpoints unless compat explicitly opts in\\n- keep native OpenAI requests unchanged\\n- add regression coverage for LM Studio-style endpoints and explicit strict-mode support\\n\\n## Testing\\n- pre-commit `pnpm check` during commit\\n- targeted: `src/agents/pi-embedded-runner/extra-params.openai.test.ts`\\n\\nFixes #51742\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51799\",\"user\":{\"login\":\"RichardCao\",\"id\":4612401,\"profile_url\":\"https://github.com/RichardCao\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/4612401?v=4\"},\"labels\":[\"agents\",\"size: S\"],\"head\":{\"ref\":\"issue-51742\",\"sha\":\"83cf1b88114335cbc7336147badfdbcc13289bd3\",\"repo\":{\"full_name\":\"RichardCao/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T18:09:10Z\",\"updated_at\":\"2026-03-21T18:46:33Z\"},{\"number\":49220,\"title\":\"fix(memory): strip inbound metadata and reply tags before session indexing\",\"body\":\"## Problem\\n\\n`buildSessionEntry()` in `src/memory/session-files.ts` embeds raw session transcript text into the memory index without stripping OpenClaw-injected metadata blocks. This causes:\\n\\n- `Conversation info (untrusted metadata): {...}` JSON blocks\\n- Sender info blocks\\n- Reply context blocks\\n- Inline directive tags (`[[reply_to_current]]`, `[[reply_to:...]]`, etc.)\\n\\n...to be vectorized and indexed, polluting memory search quality with AI-facing infrastructure noise that should never appear in searchable history.\\n\\n## Root Cause\\n\\nThe text pipeline was:\\n```ts\\nconst text = extractSessionText(message.content);\\n// text already has newlines collapsed by normalizeSessionText()\\nconst safe = redactSensitiveText(text, { mode: \\u0026#39;tools\\u0026#39; });\\n```\\n\\n`stripInboundMetadata()` is line-based (uses sentinel line detection), so stripping after `normalizeSessionText()` (which collapses newlines to spaces) would never match the fenced ```json blocks.\\n\\n## Fix\\n\\nStripping must happen on the original multi-line content **before** normalization.\\n\\nChanges to `src/memory/session-files.ts` only:\\n\\n1. **`stripRawContentMeta(raw)`** — helper that calls `stripInboundMetadata()` then `stripInlineDirectiveTagsForDisplay()` on the raw text\\n2. **`extractAndStripSessionText(content)`** — mirrors `extractSessionText()` but applies `stripRawContentMeta()` before `normalizeSessionText()` for each text block\\n3. **`buildSessionEntry()`** — now calls `extractAndStripSessionText()` instead of `extractSessionText()`\\n\\nBoth imported helpers already existed:\\n- `stripInboundMetadata()` — `src/auto-reply/reply/strip-inbound-meta.ts`\\n- `stripInlineDirectiveTagsForDisplay()` — `src/utils/directive-tags.ts`\\n\\n## Tests\\n\\nAdded to `src/memory/session-files.test.ts`:\\n\\n- User message with `Conversation info (untrusted metadata):` block → stripped from indexed text, actual message content preserved\\n- Message with `[[reply_to_current]]` tag → tag stripped, message content preserved\\n- Normal message with no injected metadata → passes through unchanged\\n\\n## Scope\\n\\nOnly `src/memory/session-files.ts` and `src/memory/session-files.test.ts` are modified. No other files touched.\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/49220\",\"user\":{\"login\":\"amittell\",\"id\":1388680,\"profile_url\":\"https://github.com/amittell\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1388680?v=4\"},\"labels\":[\"size: M\"],\"head\":{\"ref\":\"fix/memory-session-index-strip-inbound-meta\",\"sha\":\"d9d886770be2556786b09d0d2aa7913b9b4500d6\",\"repo\":{\"full_name\":\"amittell/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-17T20:00:35Z\",\"updated_at\":\"2026-03-21T18:45:41Z\"},{\"number\":51811,\"title\":\"fix(daemon): repair stale LaunchAgent plist after global updates\",\"body\":\"Fixes #51564\\n\\nGlobal `npm update -g openclaw` on macOS can leave an existing `~/Library/LaunchAgents/ai.openclaw.gateway.plist` pointing at stale entrypoint paths until the user manually reruns `openclaw doctor --fix`. This PR teaches the install flow to reuse the existing gateway service repair logic during `postinstall`, so upgrades can refresh that stale LaunchAgent configuration automatically instead of silently breaking the gateway on the next restart.\\n\\nThe new repair path stays intentionally narrow. It only runs for global npm installs on Darwin, only when the default gateway LaunchAgent plist already exists, and it never fails the install if the repair cannot run. The postinstall shim loads a dedicated bundled entry, invokes the existing doctor-backed service repair in a non-interactive mode, and converts repair failures into warnings. Regression tests cover the positive repair path, the explicit opt-out env var, and the error-swallowing behavior.\\n\\n## Testing\\n\\n- `pnpm exec vitest run src/postinstall-gateway-service.test.ts`\\n- `pnpm build`\\n- `scripts/committer \\u0026#34;fix(daemon): repair stale LaunchAgent plist after global updates\\u0026#34; package.json postinstall.mjs src/postinstall-gateway-service.ts src/postinstall-gateway-service.test.ts tsdown.config.ts`\\n\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51811\",\"user\":{\"login\":\"RichardCao\",\"id\":4612401,\"profile_url\":\"https://github.com/RichardCao\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/4612401?v=4\"},\"labels\":[\"docker\",\"size: M\"],\"head\":{\"ref\":\"fix/issue-51564-launchagent-stale-plist\",\"sha\":\"dec51390a367a6adc6f9032b2a248f13e8add222\",\"repo\":{\"full_name\":\"RichardCao/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T18:34:35Z\",\"updated_at\":\"2026-03-21T18:45:39Z\"},{\"number\":51200,\"title\":\"Pass runtime context into assemble\",\"body\":\"## Summary\\n\\n- Problem: `assemble()` only received a total `tokenBudget`, so context-engine plugins could not see host-owned prompt costs such as the base system prompt, tool schema, or the current user prompt.\\n- Why it matters: budget-aware memory engines had to guess how much context was already consumed by the host runtime, which made prompt budgeting less accurate and could lead to overly aggressive or overly loose memory injection.\\n- What changed:\\n  - added an optional `runtimeContext` field to `ContextEngine.assemble()`\\n  - passed runtime prompt budget signals from the embedded runner into `assemble()`\\n  - preserved legacy compatibility for engines that reject unknown fields like `runtimeContext`\\n  - added tests and docs for the new assemble input\\n- What did NOT change (scope boundary):\\n  - no change to memory plugin APIs\\n  - no change to retrieval behavior by itself\\n  - no forced behavior change for legacy engines beyond exposing optional metadata\\n\\n## Change Type\\n\\n- [x] Feature\\n- [x] Refactor required for the fix\\n- [x] Docs\\n\\n## Scope\\n\\n- [x] Gateway / orchestration\\n- [x] API / contracts\\n\\n## Linked Issue/PR\\n\\n- Related # N/A\\n\",\"state\":\"closed\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51200\",\"user\":{\"login\":\"xiuminsama99\",\"id\":198452741,\"profile_url\":\"https://github.com/xiuminsama99\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/198452741?v=4\"},\"labels\":[\"docs\",\"cli\",\"commands\",\"agents\",\"size: XS\"],\"head\":{\"ref\":\"codex/assemble-runtime-context-budget\",\"sha\":\"d6367c2c55a2ef40f189300862d022b0276cc017\",\"repo\":{\"full_name\":\"xiuminsama99/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-20T19:24:05Z\",\"updated_at\":\"2026-03-21T18:45:29Z\",\"closed_at\":\"2026-03-21T18:45:17Z\"},{\"number\":34222,\"title\":\"fix: use content hash for memory flush dedup instead of compactionCount (#30115)\",\"body\":\"## What\\nReplace event-based memory flush deduplication (`compactionCount`) with state-based deduplication (content hash) to prevent duplicate MEMORY.md writes when compaction aborts.\\n\\n## Why\\nFixes #30115 — Compaction abort triggers duplicate memory flushes in MEMORY.md.\\n\\nThe existing dedup uses `compactionCount` (an event counter) to decide whether to skip a flush. When compaction aborts and retries, the counter increments but the session context stays the same, causing the same content to be flushed repeatedly (4-7x duplicate entries reported).\\n\\nRoot cause: `compactionCount` conflates \\u0026#34;compaction cycle count\\u0026#34; with \\u0026#34;content has changed\\u0026#34; — these are independent concerns. Two different compaction cycles can see identical context (abort → retry scenario), so event-based dedup is fundamentally wrong for this use case.\\n\\n## How\\n- **State-based dedup**: compute a SHA-256 hash (truncated to 16 hex chars) of `messages.length + last 3 user/assistant message contents` before each flush. If the hash matches the stored `memoryFlushContextHash`, skip the flush.\\n- **Two-layer design**: `shouldRunMemoryFlush()` unchanged (token threshold gate), hash check added as second gate in `runMemoryFlushIfNeeded()`.\\n- **`willRetry` fix**: `onAgentEvent` now checks `!evt.data?.willRetry` before marking `memoryCompactionCompleted = true`, preventing retry-in-progress compaction from being incorrectly treated as completed.\\n- **Performance**: `readTranscriptTailMessages()` reads only the last 64KB of the transcript file (not the full file).\\n- **Hash timing**: stores the hash computed *before* the flush run (not after), since the flush turn itself writes to the transcript and would change the hash.\\n\\n### Scenario behavior\\n| Scenario | Behavior |\\n|----------|----------|\\n| Compaction abort | messages unchanged → hash unchanged → skip ✅ |\\n| Compaction success | messages compressed → hash changed → allow flush ✅ |\\n| New messages | tail content changed → hash changed → allow flush ✅ |\\n| Persistence failure | `contextHashBeforeFlush` used in-memory → no re-flush within session ✅ |\\n\\n## Files changed (3 + 1 test)\\n- `src/auto-reply/reply/memory-flush.ts` — new `computeContextHash()` function\\n- `src/auto-reply/reply/agent-runner-memory.ts` — hash check gate + willRetry fix + tail reader\\n- `src/config/sessions/types.ts` — add `memoryFlushContextHash` field to `SessionEntry`\\n- `src/auto-reply/reply/memory-flush.test.ts` — 8 unit tests for `computeContextHash`\\n\\n## Testing\\n- [x] `pnpm build` passes\\n- [x] `pnpm check` passes (lint + format)\\n- [x] `pnpm test` — 811/812 pass (1 pre-existing failure in `process-respawn.test.ts`)\\n- [x] 8 new unit tests for `computeContextHash` (empty input, object content, undefined content, system message filtering, length differentiation, tail behavior)\\n- [x] AI-assisted (OpenClaw agents 李飞飞/陈皮皮/毛豆豆, cross-reviewed, fully tested)\\n\\n## Backward compatibility\\n- `memoryFlushContextHash` undefined → falls back to existing `compactionCount` logic\\n- `memoryFlushCompactionCount` field preserved (not removed)\\n- First flush after upgrade runs normally (hash is empty = allow), subsequent flushes use hash dedup\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/34222\",\"user\":{\"login\":\"lml2468\",\"id\":39320777,\"profile_url\":\"https://github.com/lml2468\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/39320777?v=4\"},\"labels\":[\"cli\",\"size: M\"],\"assignees\":[\"jalehman\"],\"head\":{\"ref\":\"fix/memory-flush-dedup\",\"sha\":\"bce6f0bda03a203cd5c565d762334c8618197fc3\",\"repo\":{\"full_name\":\"lml2468/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-04T09:13:16Z\",\"updated_at\":\"2026-03-21T18:45:21Z\"},{\"number\":51816,\"title\":\"ACP: add hung-turn starvation repro\",\"body\":\"## Summary\\n\\n- Problem: a bound ACP session can stop replying if one `runtime.runTurn()` never completes, because later turns on that session stay queued behind the stuck turn.\\n- Why it matters: Discord ACP bindings like `#codex-1` can look dead until the session is reset, even though the gateway is still up.\\n- What changed: added a characterization test in `src/acp/control-plane/manager.test.ts` that reproduces the starvation path deterministically.\\n- What did NOT change (scope boundary): this PR does not add timeout, cancellation, or recovery logic yet.\\n\\n## Change Type (select all)\\n\\n- [x] Bug fix\\n- [ ] Feature\\n- [ ] Refactor required for the fix\\n- [ ] Docs\\n- [ ] Security hardening\\n- [ ] Chore/infra\\n\\n## Scope (select all touched areas)\\n\\n- [x] Gateway / orchestration\\n- [ ] Skills / tool execution\\n- [ ] Auth / tokens\\n- [ ] Memory / storage\\n- [ ] Integrations\\n- [ ] API / contracts\\n- [ ] UI / DX\\n- [ ] CI/CD / infra\\n\\n## Linked Issue/PR\\n\\n- None\\n\\n## User-visible / Behavior Changes\\n\\nNone.\\n\\n## Security Impact (required)\\n\\n- New permissions/capabilities? (`No`)\\n- Secrets/tokens handling changed? (`No`)\\n- New/changed network calls? (`No`)\\n- Command/tool execution surface changed? (`No`)\\n- Data access scope changed? (`No`)\\n- If any `Yes`, explain risk + mitigation:\\n\\n## Repro + Verification\\n\\n### Environment\\n\\n- OS: Linux\\n- Runtime/container: Node 22, `pnpm test` wrapper\\n- Model/provider: N/A\\n- Integration/channel (if any): ACP session manager; repro mirrors a persistent Discord-bound ACP session\\n- Relevant config (redacted): persistent ACP binding on a single session\\n\\n### Steps\\n\\n1. Create an `AcpSessionManager` whose fake runtime blocks forever on the first `runTurn()` call.\\n2. Start one turn for a session, then enqueue a second turn for the same session.\\n3. Observe that the second turn never starts until the first blocked turn is manually released.\\n\\n### Expected\\n\\n- A hung turn should not be able to starve all later turns on the same bound session indefinitely.\\n\\n### Actual\\n\\n- `AcpSessionManager.runTurn()` waits forever on the first hung turn, keeps the session actor occupied, and leaves later turns queued.\\n\\n## Evidence\\n\\nAttach at least one:\\n\\n- [ ] Failing test/log before + passing after\\n- [x] Trace/log snippets\\n- [ ] Screenshot/recording\\n- [ ] Perf numbers (if relevant)\\n\\nLive symptom evidence during investigation:\\n\\n- bound Discord ACP session state stayed `running` with `abortedLastRun: true`\\n- the corresponding ACP worker process stayed idle while later channel messages received no reply\\n- code inspection shows `src/auto-reply/reply/dispatch-acp.ts` awaits `runTurn()`, and `src/acp/control-plane/manager.core.ts` serializes turns per session without a manager-side timeout around `for await (const event of runtime.runTurn(...))`\\n\\n## Human Verification (required)\\n\\nWhat you personally verified (not just CI), and how:\\n\\n- Verified scenarios: `pnpm test -- src/acp/control-plane/manager.test.ts -t \\u0026#34;reproduces queue starvation when a runtime turn never completes\\u0026#34;`\\n- Edge cases checked: the second queued turn stays pending until the first is released; the observability snapshot reports the session as active with queued work.\\n- What you did **not** verify: no runtime fix yet; no end-to-end Discord recovery test yet.\\n\\n## Review Conversations\\n\\n- [x] I replied to or resolved every bot review conversation I addressed in this PR.\\n- [x] I left unresolved only the conversations that still need reviewer or maintainer judgment.\\n\\nIf a bot review conversation is addressed by this PR, resolve that conversation yourself. Do not leave bot review conversation cleanup for maintainers.\\n\\n## Compatibility / Migration\\n\\n- Backward compatible? (`Yes`)\\n- Config/env changes? (`No`)\\n- Migration needed? (`No`)\\n- If yes, exact upgrade steps:\\n\\n## Failure Recovery (if this breaks)\\n\\n- How to disable/revert this change quickly: revert commit `b45ffc1476`\\n- Files/config to restore: `src/acp/control-plane/manager.test.ts`\\n- Known bad symptoms reviewers should watch for: none beyond a test expectation mismatch if the manager behavior changes during fix work.\\n\\n## Risks and Mitigations\\n\\n- Risk: this is a repro-only PR and could be mistaken for a full fix.\\n  - Mitigation: kept the PR in draft and called out the scope boundary explicitly.\\n\",\"state\":\"open\",\"draft\":true,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51816\",\"user\":{\"login\":\"dutifulbob\",\"id\":261991368,\"profile_url\":\"https://github.com/dutifulbob\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/261991368?v=4\"},\"labels\":[\"size: S\"],\"head\":{\"ref\":\"fix/acp-runturn-starvation-repro\",\"sha\":\"b45ffc1476ff7cbef3970e252ce6048d7e9760fd\",\"repo\":{\"full_name\":\"osolmaz/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform.\"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T18:44:59Z\",\"updated_at\":\"2026-03-21T18:45:12Z\"},{\"number\":48417,\"title\":\"fix(agent): do not persist fallback model as session runtime model\",\"body\":\"## Summary\\n\\nFixes #47705.\\n\\nWhen the primary model is temporarily unavailable (overloaded, rate-limited) and a fallback handles the request, the fallback model was being written back to the session store via `setSessionRuntimeModel`. On every subsequent request `resolveSessionModelRef` would return the fallback model, so the configured primary was **never retried** after it recovered.\\n\\n## Root cause\\n\\n`updateSessionStoreAfterAgentRun` unconditionally calls `setSessionRuntimeModel(next, { provider: providerUsed, model: modelUsed })` after every run. When a fallback ran, `providerUsed`/`modelUsed` reflect the fallback, and this gets written to `entry.model` / `entry.modelProvider`. `resolveSessionModelRef` then returns the stored runtime model on every future call, bypassing the configured primary entirely.\\n\\n## Fix\\n\\nAdd an `isFromFallback` parameter to `updateSessionStoreAfterAgentRun`. When true, skip `setSessionRuntimeModel` so the session entry retains no runtime model (or retains its previous primary if one was stored). On the next request the session has no stale fallback recorded, so `resolveSessionModelRef` returns the configured primary and it gets a fresh retry.\\n\\nThe same guard is applied in the cron/isolated-agent path, which calls `setSessionRuntimeModel` directly.\\n\\nThe `isFromFallback` flag is computed at the agent.ts callsite as:\\n```ts\\nisFromFallback: fallbackModel !== model || fallbackProvider !== provider\\n```\\n\\n## What this does NOT change\\n\\n- Context token tracking still uses the actual model that ran (correct for prompt sizing)\\n- CLI session ID recording is unaffected\\n- The fallback model is still used for the current run — only the persistence step is skipped\\n- No change to `resolveSessionModelRef` itself\\n\\n## Testing\\n\\nExisting unit tests pass. The fix is covered by the existing `session-store.test.ts` and `run.cron-model-override.test.ts` suites (38 tests across 9 files, all green).\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/48417\",\"user\":{\"login\":\"amittell\",\"id\":1388680,\"profile_url\":\"https://github.com/amittell\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1388680?v=4\"},\"labels\":[\"commands\",\"agents\",\"size: M\"],\"head\":{\"ref\":\"fix/47705-fallback-model-no-persist\",\"sha\":\"7bc6f9702b2856b52c139b3fee26657b18472b48\",\"repo\":{\"full_name\":\"amittell/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-16T18:14:36Z\",\"updated_at\":\"2026-03-21T18:44:40Z\"}]"}]}
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{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01UgCoDrZt9zRpfGdnYsGis5","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"So far I've found only one failed workflow run:\n- PR #51673: Run `23386272096`, failed job: `check`\n\nThe other PRs I've checked (51731, 49420, 51799, 51811) all have passing CI. PR #51200 only has auto-response/label checks (no full CI).\n\nLet me look at more PRs. I need to find 4 more failed runs. Let me look at more closed PRs or PRs that might have failures - let me check more of the PRs from the initial list.\n\nActually wait - I noticed PR #51200 was closed (not merged). \n\nI'm realizing PR #51200 has a huge number of check runs but they're mostly just automated labeling and response jobs, not actual CI failures. I should focus on finding closed PRs that were actually rejected due to test failures rather than just administrative closures.\n\nLet me shift my approach and look directly for workflow runs with a failure conclusion instead of digging through individual PR histories. So far I've identified one candidate: PR #51673 with the failed `check` job.","signature":" "}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":20398,"cache_read_input_tokens":57883,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":20398},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"a99fbe88-db6b-4216-a3ab-bc612d0c4d2e"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01UgCoDrZt9zRpfGdnYsGis5","type":"message","role":"assistant","content":[{"type":"text","text":"Let me check a few more PRs that may have failed CI runs."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":20398,"cache_read_input_tokens":57883,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":20398},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"072e5768-2aec-43d8-8945-57a5d2b7bf9f"}
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{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_018mGRGEfgd2ZVQ787u5fLLq","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"So far I've found:\n1. PR #51673, Run `23386272096` — failed job: `check`\n2. PR #50567, Run `23386167213` — failed jobs: `check`, `check-additional`, `build-smoke`\n\nPR #50903 (Telegram fix) - let me look at the rest of those results... Actually the PR #50903 results were cut off. Let me see what I have from the last batch:\n\nPR #50903 result was truncated - only showed up to 30 jobs, mostly extension-fast and some checks. Let me look at what I got. Actually the result showed 52 total_count and showed jobs through `checks (node, test, 2, 2...)`. \n\nFor PR #50903, I got 30 check runs displayed but the total count is 52, so I need to fetch the next page to see if there are any failures. For PR #50567, the failures are all in the same workflow run `23386167213` with three failed jobs: `check`, `check-additional`, and `build-smoke`.\n\nI've found two failed runs so far, but I need three more. Rather than checking PRs one at a time, let me look at the data I already have and then check the other PRs like #42485, #49220, and #48417 to find additional failures.\n\nActually, I should focus on closed but unmerged PRs since those are more likely to have failures. PR #51784 was closed quickly before CI even ran, but PR #51200 has 186 check runs total. Let me dig through the additional pages of that PR's check runs to find the CI failures instead of continuing to check individual PRs.","signature":" "}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":16164,"cache_read_input_tokens":78281,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":16164},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"f99b16c7-4725-45ca-90e9-31fa3279067e"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_018mGRGEfgd2ZVQ787u5fLLq","type":"message","role":"assistant","content":[{"type":"text","text":"Found another failure on PR #50567. Let me check more PRs for additional failed runs."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":16164,"cache_read_input_tokens":78281,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":16164},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"f6f7126c-c021-4deb-acf1-878e6fe0ab1d"}
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{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01R26i9PL9WQCCCM2LgDpcys","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Now I have:\n\n1. PR #51673, Run `23386272096` — `check` job failed\n2. PR #50567, Run `23386167213` — `check`, `check-additional`, `build-smoke` failed\n3. PR #42485, Run `23385975707` — `extension-fast (telegram)` and `checks (node, channels, pnpm test:channels)` failed\n\nPR #49220 (fix memory session index) - all passed\nPR #48417 (fix fallback model) - all passed\n\nNow I need 2 more. Let me check more PRs. Let me look at other older or more recently updated PRs. Let me look at PRs from the first page that I haven't checked yet:\n\n\n- PR #38435 (fix googlechat gaxios)\n\nI should also go back to PR #50903 since I only saw the first 30 jobs which were all extension-fast successes. I need to check the remaining pages to find the core CI jobs that might have failures.","signature":" "}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":16838,"cache_read_input_tokens":94445,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":16838},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"314a8326-6f57-4e7b-9a45-fed98b268b49"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01R26i9PL9WQCCCM2LgDpcys","type":"message","role":"assistant","content":[{"type":"text","text":"Good — I now have 3 failed runs. Let me check a couple more PRs to find the remaining 2."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":16838,"cache_read_input_tokens":94445,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":16838},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"a41d1940-6641-4bd0-8315-fc6dd6ca8d05"}
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{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01YH5FrRT2cYzrV29HxcrmPV","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Now I have 4 failed workflow runs:1. PR #51673, Run `23386272096` — `check` job failed2. PR #50567, Run `23386167213` — `check`, `check-additional`, `build-smoke` failed3. PR #42485, Run `23385975707` — `extension-fast (telegram)` and `checks (node, channels, pnpm test:channels)` failed4. PR #38435, Run `22788251012` — `check` and `secrets` failed\n\nPR #50903 page 2 — all passing.Now I need one more. Let me check more PRs. Let me look at a few more from the recent list.Actually, let me also check the `51200` PR more carefully. It had 186 total check runs. \n\nI'm noticing pages 1 and 2 are mostly showing auto-response and label jobs, which seems odd for a typical PR. Maybe I should look for closed PRs that were actually rejected instead of merged. Let me also examine some of the draft PRs like #51816 and feature PRs like #51446 more closely to see if they have failures.\n\nNow I'm moving to page 3 of the PR list to check for more runs and see what's there.","signature":" "}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":7475,"cache_read_input_tokens":111283,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":7475},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"786cba1a-6e97-434d-92d7-4ee4bd0ef575"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01YH5FrRT2cYzrV29HxcrmPV","type":"message","role":"assistant","content":[{"type":"text","text":"I have 4 failed runs so far. Let me find the 5th."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":7475,"cache_read_input_tokens":111283,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":7475},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"fcc39c96-9a1c-46b2-b102-89a2055b448c"}
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{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01J1NBmYqXtZ9fhLYv9KttGf","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Neither #51816 nor #51446 had failures. Let me check more PRs. Let me look at some more PRs from the list.\n\nActually wait - I need to re-examine what I have. I know that:\n1. PR #51673, Run `23386272096` — `check` job failed (most recent, today)\n2. PR #50567, Run `23386167213` — `check`, `check-additional`, `build-smoke` failed (today)\n3. PR #42485, Run `23385975707` — `extension-fast (telegram)` and `checks (node, channels, pnpm test:channels)` failed (today ~18:31)\n\n\n4. PR #38435, Run `22788251012` — `check` and `secrets` failed (2026-03-07, older)\n\nI need to find one more example. Looking at page 3 of the PRs, I notice that runs 2, 3, and 4 were all triggered today by different PRs. Let me check PR #50903 - it shows 52 total check runs across both pages, all passing.\n\nNow I'm realizing I should focus on the actual task: finding the 5 most recent failed workflow runs. I've identified 4 so far with their run IDs and timestamps, but I need to verify I haven't missed any PRs with failures. Let me scan through page 3 to see if there are other recent PRs I haven't examined yet. I've identified the first three most recent failed runs by timestamp, but there's a gap between today's failures and the one from March 2026. I need to scan through more PRs from the pages I've already looked at to find that missing fourth run that should fall in between. I'm noticing the run IDs are in descending order, so the most recent failures from today are clustered at the top. There's a significant gap between the most recent runs and ones from March 7th, which means I should scan through more PRs to find any that were updated in that window and might have failed workflows.","signature":" "}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":7823,"cache_read_input_tokens":118758,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":7823},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"b8204567-cee7-43db-8f67-2fd120c1dcfc"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01J1NBmYqXtZ9fhLYv9KttGf","type":"message","role":"assistant","content":[{"type":"text","text":"Let me check more PRs from page 3 to find the 5th failed run."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":7823,"cache_read_input_tokens":118758,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":7823},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"e8469031-c519-442a-9ef6-0aa57717eda2"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01J1NBmYqXtZ9fhLYv9KttGf","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011qYKG4qzak3FtmfCjztsHE","name":"mcp__github__list_pull_requests","input":{"owner":"openclaw","repo":"openclaw","state":"all","perPage":"10","sort":"updated","direction":"desc","page":"3"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":7823,"cache_read_input_tokens":118758,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":7823},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"21657721-0f0c-4f36-a6cd-006aff3d8d33"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011qYKG4qzak3FtmfCjztsHE","type":"tool_result","content":[{"type":"text","text":"[{\"number\":51200,\"title\":\"Pass runtime context into assemble\",\"body\":\"## Summary\\n\\n- Problem: `assemble()` only received a total `tokenBudget`, so context-engine plugins could not see host-owned prompt costs such as the base system prompt, tool schema, or the current user prompt.\\n- Why it matters: budget-aware memory engines had to guess how much context was already consumed by the host runtime, which made prompt budgeting less accurate and could lead to overly aggressive or overly loose memory injection.\\n- What changed:\\n  - added an optional `runtimeContext` field to `ContextEngine.assemble()`\\n  - passed runtime prompt budget signals from the embedded runner into `assemble()`\\n  - preserved legacy compatibility for engines that reject unknown fields like `runtimeContext`\\n  - added tests and docs for the new assemble input\\n- What did NOT change (scope boundary):\\n  - no change to memory plugin APIs\\n  - no change to retrieval behavior by itself\\n  - no forced behavior change for legacy engines beyond exposing optional metadata\\n\\n## Change Type\\n\\n- [x] Feature\\n- [x] Refactor required for the fix\\n- [x] Docs\\n\\n## Scope\\n\\n- [x] Gateway / orchestration\\n- [x] API / contracts\\n\\n## Linked Issue/PR\\n\\n- Related # N/A\\n\",\"state\":\"closed\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51200\",\"user\":{\"login\":\"xiuminsama99\",\"id\":198452741,\"profile_url\":\"https://github.com/xiuminsama99\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/198452741?v=4\"},\"labels\":[\"docs\",\"cli\",\"commands\",\"agents\",\"size: XS\"],\"head\":{\"ref\":\"codex/assemble-runtime-context-budget\",\"sha\":\"d6367c2c55a2ef40f189300862d022b0276cc017\",\"repo\":{\"full_name\":\"xiuminsama99/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-20T19:24:05Z\",\"updated_at\":\"2026-03-21T18:45:29Z\",\"closed_at\":\"2026-03-21T18:45:17Z\"},{\"number\":34222,\"title\":\"fix: use content hash for memory flush dedup instead of compactionCount (#30115)\",\"body\":\"## What\\nReplace event-based memory flush deduplication (`compactionCount`) with state-based deduplication (content hash) to prevent duplicate MEMORY.md writes when compaction aborts.\\n\\n## Why\\nFixes #30115 — Compaction abort triggers duplicate memory flushes in MEMORY.md.\\n\\nThe existing dedup uses `compactionCount` (an event counter) to decide whether to skip a flush. When compaction aborts and retries, the counter increments but the session context stays the same, causing the same content to be flushed repeatedly (4-7x duplicate entries reported).\\n\\nRoot cause: `compactionCount` conflates \\u0026#34;compaction cycle count\\u0026#34; with \\u0026#34;content has changed\\u0026#34; — these are independent concerns. Two different compaction cycles can see identical context (abort → retry scenario), so event-based dedup is fundamentally wrong for this use case.\\n\\n## How\\n- **State-based dedup**: compute a SHA-256 hash (truncated to 16 hex chars) of `messages.length + last 3 user/assistant message contents` before each flush. If the hash matches the stored `memoryFlushContextHash`, skip the flush.\\n- **Two-layer design**: `shouldRunMemoryFlush()` unchanged (token threshold gate), hash check added as second gate in `runMemoryFlushIfNeeded()`.\\n- **`willRetry` fix**: `onAgentEvent` now checks `!evt.data?.willRetry` before marking `memoryCompactionCompleted = true`, preventing retry-in-progress compaction from being incorrectly treated as completed.\\n- **Performance**: `readTranscriptTailMessages()` reads only the last 64KB of the transcript file (not the full file).\\n- **Hash timing**: stores the hash computed *before* the flush run (not after), since the flush turn itself writes to the transcript and would change the hash.\\n\\n### Scenario behavior\\n| Scenario | Behavior |\\n|----------|----------|\\n| Compaction abort | messages unchanged → hash unchanged → skip ✅ |\\n| Compaction success | messages compressed → hash changed → allow flush ✅ |\\n| New messages | tail content changed → hash changed → allow flush ✅ |\\n| Persistence failure | `contextHashBeforeFlush` used in-memory → no re-flush within session ✅ |\\n\\n## Files changed (3 + 1 test)\\n- `src/auto-reply/reply/memory-flush.ts` — new `computeContextHash()` function\\n- `src/auto-reply/reply/agent-runner-memory.ts` — hash check gate + willRetry fix + tail reader\\n- `src/config/sessions/types.ts` — add `memoryFlushContextHash` field to `SessionEntry`\\n- `src/auto-reply/reply/memory-flush.test.ts` — 8 unit tests for `computeContextHash`\\n\\n## Testing\\n- [x] `pnpm build` passes\\n- [x] `pnpm check` passes (lint + format)\\n- [x] `pnpm test` — 811/812 pass (1 pre-existing failure in `process-respawn.test.ts`)\\n- [x] 8 new unit tests for `computeContextHash` (empty input, object content, undefined content, system message filtering, length differentiation, tail behavior)\\n- [x] AI-assisted (OpenClaw agents 李飞飞/陈皮皮/毛豆豆, cross-reviewed, fully tested)\\n\\n## Backward compatibility\\n- `memoryFlushContextHash` undefined → falls back to existing `compactionCount` logic\\n- `memoryFlushCompactionCount` field preserved (not removed)\\n- First flush after upgrade runs normally (hash is empty = allow), subsequent flushes use hash dedup\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/34222\",\"user\":{\"login\":\"lml2468\",\"id\":39320777,\"profile_url\":\"https://github.com/lml2468\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/39320777?v=4\"},\"labels\":[\"cli\",\"size: M\"],\"assignees\":[\"jalehman\"],\"head\":{\"ref\":\"fix/memory-flush-dedup\",\"sha\":\"bce6f0bda03a203cd5c565d762334c8618197fc3\",\"repo\":{\"full_name\":\"lml2468/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-04T09:13:16Z\",\"updated_at\":\"2026-03-21T18:45:21Z\"},{\"number\":51816,\"title\":\"ACP: add hung-turn starvation repro\",\"body\":\"## Summary\\n\\n- Problem: a bound ACP session can stop replying if one `runtime.runTurn()` never completes, because later turns on that session stay queued behind the stuck turn.\\n- Why it matters: Discord ACP bindings like `#codex-1` can look dead until the session is reset, even though the gateway is still up.\\n- What changed: added a characterization test in `src/acp/control-plane/manager.test.ts` that reproduces the starvation path deterministically.\\n- What did NOT change (scope boundary): this PR does not add timeout, cancellation, or recovery logic yet.\\n\\n## Change Type (select all)\\n\\n- [x] Bug fix\\n- [ ] Feature\\n- [ ] Refactor required for the fix\\n- [ ] Docs\\n- [ ] Security hardening\\n- [ ] Chore/infra\\n\\n## Scope (select all touched areas)\\n\\n- [x] Gateway / orchestration\\n- [ ] Skills / tool execution\\n- [ ] Auth / tokens\\n- [ ] Memory / storage\\n- [ ] Integrations\\n- [ ] API / contracts\\n- [ ] UI / DX\\n- [ ] CI/CD / infra\\n\\n## Linked Issue/PR\\n\\n- None\\n\\n## User-visible / Behavior Changes\\n\\nNone.\\n\\n## Security Impact (required)\\n\\n- New permissions/capabilities? (`No`)\\n- Secrets/tokens handling changed? (`No`)\\n- New/changed network calls? (`No`)\\n- Command/tool execution surface changed? (`No`)\\n- Data access scope changed? (`No`)\\n- If any `Yes`, explain risk + mitigation:\\n\\n## Repro + Verification\\n\\n### Environment\\n\\n- OS: Linux\\n- Runtime/container: Node 22, `pnpm test` wrapper\\n- Model/provider: N/A\\n- Integration/channel (if any): ACP session manager; repro mirrors a persistent Discord-bound ACP session\\n- Relevant config (redacted): persistent ACP binding on a single session\\n\\n### Steps\\n\\n1. Create an `AcpSessionManager` whose fake runtime blocks forever on the first `runTurn()` call.\\n2. Start one turn for a session, then enqueue a second turn for the same session.\\n3. Observe that the second turn never starts until the first blocked turn is manually released.\\n\\n### Expected\\n\\n- A hung turn should not be able to starve all later turns on the same bound session indefinitely.\\n\\n### Actual\\n\\n- `AcpSessionManager.runTurn()` waits forever on the first hung turn, keeps the session actor occupied, and leaves later turns queued.\\n\\n## Evidence\\n\\nAttach at least one:\\n\\n- [ ] Failing test/log before + passing after\\n- [x] Trace/log snippets\\n- [ ] Screenshot/recording\\n- [ ] Perf numbers (if relevant)\\n\\nLive symptom evidence during investigation:\\n\\n- bound Discord ACP session state stayed `running` with `abortedLastRun: true`\\n- the corresponding ACP worker process stayed idle while later channel messages received no reply\\n- code inspection shows `src/auto-reply/reply/dispatch-acp.ts` awaits `runTurn()`, and `src/acp/control-plane/manager.core.ts` serializes turns per session without a manager-side timeout around `for await (const event of runtime.runTurn(...))`\\n\\n## Human Verification (required)\\n\\nWhat you personally verified (not just CI), and how:\\n\\n- Verified scenarios: `pnpm test -- src/acp/control-plane/manager.test.ts -t \\u0026#34;reproduces queue starvation when a runtime turn never completes\\u0026#34;`\\n- Edge cases checked: the second queued turn stays pending until the first is released; the observability snapshot reports the session as active with queued work.\\n- What you did **not** verify: no runtime fix yet; no end-to-end Discord recovery test yet.\\n\\n## Review Conversations\\n\\n- [x] I replied to or resolved every bot review conversation I addressed in this PR.\\n- [x] I left unresolved only the conversations that still need reviewer or maintainer judgment.\\n\\nIf a bot review conversation is addressed by this PR, resolve that conversation yourself. Do not leave bot review conversation cleanup for maintainers.\\n\\n## Compatibility / Migration\\n\\n- Backward compatible? (`Yes`)\\n- Config/env changes? (`No`)\\n- Migration needed? (`No`)\\n- If yes, exact upgrade steps:\\n\\n## Failure Recovery (if this breaks)\\n\\n- How to disable/revert this change quickly: revert commit `b45ffc1476`\\n- Files/config to restore: `src/acp/control-plane/manager.test.ts`\\n- Known bad symptoms reviewers should watch for: none beyond a test expectation mismatch if the manager behavior changes during fix work.\\n\\n## Risks and Mitigations\\n\\n- Risk: this is a repro-only PR and could be mistaken for a full fix.\\n  - Mitigation: kept the PR in draft and called out the scope boundary explicitly.\\n\",\"state\":\"open\",\"draft\":true,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51816\",\"user\":{\"login\":\"dutifulbob\",\"id\":261991368,\"profile_url\":\"https://github.com/dutifulbob\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/261991368?v=4\"},\"labels\":[\"size: S\"],\"head\":{\"ref\":\"fix/acp-runturn-starvation-repro\",\"sha\":\"b45ffc1476ff7cbef3970e252ce6048d7e9760fd\",\"repo\":{\"full_name\":\"osolmaz/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform.\"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T18:44:59Z\",\"updated_at\":\"2026-03-21T18:45:12Z\"},{\"number\":48417,\"title\":\"fix(agent): do not persist fallback model as session runtime model\",\"body\":\"## Summary\\n\\nFixes #47705.\\n\\nWhen the primary model is temporarily unavailable (overloaded, rate-limited) and a fallback handles the request, the fallback model was being written back to the session store via `setSessionRuntimeModel`. On every subsequent request `resolveSessionModelRef` would return the fallback model, so the configured primary was **never retried** after it recovered.\\n\\n## Root cause\\n\\n`updateSessionStoreAfterAgentRun` unconditionally calls `setSessionRuntimeModel(next, { provider: providerUsed, model: modelUsed })` after every run. When a fallback ran, `providerUsed`/`modelUsed` reflect the fallback, and this gets written to `entry.model` / `entry.modelProvider`. `resolveSessionModelRef` then returns the stored runtime model on every future call, bypassing the configured primary entirely.\\n\\n## Fix\\n\\nAdd an `isFromFallback` parameter to `updateSessionStoreAfterAgentRun`. When true, skip `setSessionRuntimeModel` so the session entry retains no runtime model (or retains its previous primary if one was stored). On the next request the session has no stale fallback recorded, so `resolveSessionModelRef` returns the configured primary and it gets a fresh retry.\\n\\nThe same guard is applied in the cron/isolated-agent path, which calls `setSessionRuntimeModel` directly.\\n\\nThe `isFromFallback` flag is computed at the agent.ts callsite as:\\n```ts\\nisFromFallback: fallbackModel !== model || fallbackProvider !== provider\\n```\\n\\n## What this does NOT change\\n\\n- Context token tracking still uses the actual model that ran (correct for prompt sizing)\\n- CLI session ID recording is unaffected\\n- The fallback model is still used for the current run — only the persistence step is skipped\\n- No change to `resolveSessionModelRef` itself\\n\\n## Testing\\n\\nExisting unit tests pass. The fix is covered by the existing `session-store.test.ts` and `run.cron-model-override.test.ts` suites (38 tests across 9 files, all green).\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/48417\",\"user\":{\"login\":\"amittell\",\"id\":1388680,\"profile_url\":\"https://github.com/amittell\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1388680?v=4\"},\"labels\":[\"commands\",\"agents\",\"size: M\"],\"head\":{\"ref\":\"fix/47705-fallback-model-no-persist\",\"sha\":\"7bc6f9702b2856b52c139b3fee26657b18472b48\",\"repo\":{\"full_name\":\"amittell/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-16T18:14:36Z\",\"updated_at\":\"2026-03-21T18:44:40Z\"},{\"number\":51803,\"title\":\"fix: persist followup queues across gateway restart\",\"body\":\"## Summary\\n\\nPhase 1 fix for #51620: prevents silent message loss when the gateway restarts while followup queue items are pending.\\n\\n## Changes\\n\\n### New files\\n- **`src/auto-reply/reply/queue/persist.ts`** — Serialize/deserialize `FOLLOWUP_QUEUES` to `state/pending-followups.json`. Uses a consume pattern (read + delete) matching the existing restart sentinel approach.\\n- **`src/gateway/replay-persisted-followups.ts`** — On startup, reads persisted items and injects them as system events on their respective sessions, so the agent sees and responds to them on the next turn.\\n- **`src/auto-reply/reply/queue/persist.test.ts`** — 8 tests covering persist, consume, round-trip, malformed JSON, and wrong version handling.\\n\\n### Modified files\\n- **`src/gateway/server-close.ts`** — Call `persistFollowupQueues()` before `chatRunState.clear()` during shutdown.\\n- **`src/gateway/server-startup.ts`** — Schedule `replayPersistedFollowups()` 1s after startup (runs unconditionally, not just after restart sentinel).\\n- **`src/auto-reply/reply/queue.ts`** — Re-export persist functions.\\n\\n## Design decisions\\n\\n- **System event injection for replay** (not direct re-dispatch): Phase 1 injects persisted messages as system events rather than reconstructing full `MsgContext` objects for `getReplyFromConfig`. This is simpler and safer — the agent sees the messages on its next turn (heartbeat, new message, or cron) with full context about the replay.\\n- **Selective serialization**: Only serializable routing/identity fields from `FollowupRun` are persisted. The full `config` and `skillsSnapshot` are omitted (they\\u0026#39;d be stale after restart anyway).\\n- **Best-effort persist**: Persist failure during shutdown is logged but doesn\\u0026#39;t block the shutdown sequence.\\n- **Unconditional replay**: Runs on every startup, not just after restart sentinel, since followups could be persisted from any shutdown path.\\n\\n## What this doesn\\u0026#39;t cover (future phases)\\n\\n- **Phase 2**: Handle drain-window arrivals (`GatewayDrainingError` rejections)\\n- **Phase 3**: Channel-level message acknowledgment deferral\\n\\nFixes #51620 (Phase 1)\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51803\",\"user\":{\"login\":\"henry-the-frog\",\"id\":268985413,\"profile_url\":\"https://github.com/henry-the-frog\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/268985413?v=4\"},\"labels\":[\"app: web-ui\",\"gateway\",\"size: L\"],\"head\":{\"ref\":\"fix/persist-followup-queues-restart\",\"sha\":\"9e58a77af94a619ed3955ef95262e0da8f450ad7\",\"repo\":{\"full_name\":\"henry-the-frog/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fd2b3ed6af9c3ec6ee9e5e0f16410cf286159002\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T18:22:41Z\",\"updated_at\":\"2026-03-21T18:43:15Z\"},{\"number\":23912,\"title\":\"[ClawDock] Iteration on the first submission; bug fixes, UX improvements, etc\",\"body\":\"## tl;dr\\n\\n- Handful of iterations on the first version\\n- Tend to a handful of issues/PRs opened up since first merge\\n- Rename to top-level `scripts/clawdock` directory\\n- Fix some WhatsApp \\u0026amp; Docker related bugs\\n\\nhttps://github.com/user-attachments/assets/d69d2893-41b6-4916-aef9-7494dd8dd91d\\n\\n## Summary\\n\\nAdditional reference: - https://github.com/openclaw/openclaw/discussions/13528#discussioncomment-15885279\\n\\n### Problem(s)\\n\\nRunning OpenClaw in Docker requires memorizing long `docker compose` commands, manual token wiring, and has no docs for data persistence or config layout. The WebSocket connection silently stalls behind Docker/VPN proxies (half-open sockets), leaving the web UI frozen with no recovery path.\\n\\nSupersedes #17104, #17132, #17179, #21934 (fixes #21914)\\n\\n### Why it matters\\n\\nDocker is the primary deployment path for self-hosters. Silent WebSocket stalls make users think the bot is down when it\\u0026#39;s running fine — they just need to refresh, but nothing tells them that.\\n\\n### What changed\\n- **ClawDock helpers** (`scripts/clawdock/clawdock-helpers.sh`): 15+ shell functions (`clawdock-start`, `clawdock-update`, `clawdock-dashboard`, `clawdock-config`, etc.) with auto-detection of the OpenClaw project directory, colored output, guided next-step hints, and health-polling restarts.\\n- **ClawDock README** (`scripts/clawdock/README.md`): full docs covering quickstart, command reference, config/secrets layout, env precedence, data \\u0026amp; backups, and common workflows.\\n- **Tick watchdog** in `GatewayBrowserClient`: tracks server tick events and forces reconnect when ticks stall for 2x the interval — detects half-open sockets that TCP keepalive misses in Docker/VPN environments.\\n- **Auto-reload on event gap**: changed from a passive \\u0026#34;refresh recommended\\u0026#34; banner to calling `refreshChat()` automatically, so the UI recovers without user intervention.\\n- **Timer leak fix** in `GatewayClient.stop()`: clears `connectTimer` on shutdown, preventing zombie reconnect attempts.\\n- **Moved** `scripts/shell-helpers/` → `scripts/clawdock/` and updated all references (`docs/install/docker.md`, install URLs in the script header).\\n- **What did NOT change (scope boundary):** No changes to the gateway server, Docker Compose files, Dockerfile, or any channel/integration code. The tick watchdog is client-side only — no new server events.\\n\\n## Change Type (select all)\\n\\n- [x] Bug fix\\n- [x] Feature\\n- [ ] Refactor\\n- [x] Docs\\n- [ ] Security hardening\\n- [ ] Chore/infra\\n\\n## Scope (select all touched areas)\\n\\n- [x] Gateway / orchestration\\n- [ ] Skills / tool execution\\n- [ ] Auth / tokens\\n- [ ] Memory / storage\\n- [ ] Integrations\\n- [ ] API / contracts\\n- [x] UI / DX\\n- [ ] CI/CD / infra\\n\\n## Linked Issue/PR\\n\\n- Closes #21914\\n- Related #17104, #17132, #17179, #21934\\n\\n## User-visible / Behavior Changes\\n\\n- New `clawdock-*` shell functions available after sourcing `clawdock-helpers.sh` (install via curl or source from repo)\\n- `clawdock-config` prints all config files with masked secret values (replaces the old `cd ~/.openclaw` behavior)\\n- `clawdock-update` and `clawdock-fix-token` now health-poll the gateway instead of a blind `sleep 5`\\n- `clawdock-rebuild` passes `OPENCLAW_INSTALL_BROWSER` build arg from `.env` (previously undocumented gap)\\n- Web UI auto-reloads chat on event gaps instead of showing a passive \\u0026#34;refresh recommended\\u0026#34; banner\\n- Web UI auto-reconnects when the WebSocket silently stalls (tick timeout at 2x server tick interval)\\n- Gateway client no longer leaks reconnect timers after `stop()` is called\\n\\n## Security Impact (required)\\n\\n- New permissions/capabilities? `No`\\n- Secrets/tokens handling changed? `No` — `clawdock-config` masks `.env` values to first 8 chars; `openclaw.json` is printed in full (tokens are already visible to the user locally)\\n- New/changed network calls? `No` — tick watchdog only monitors existing events; no new network calls\\n- Command/tool execution surface changed? `No`\\n- Data access scope changed? `No`\\n\\n## Repro + Verification\\n\\n### Environment\\n\\n- **OS**: macOS / Linux (Docker host)\\n- **Runtime/container**: Docker with `openclaw:local` image\\n- **Model/provider**: Any\\n- **Integration/channel** (if any): Web UI\\n- **Relevant config (redacted)**: Default ClawDock `.env`\\n\\n### Steps\\n\\n1. Source helpers: `source scripts/clawdock/clawdock-helpers.sh`\\n2. Run `clawdock-help` — verify colored command listing with grouped sections\\n3. Run `clawdock-config` — verify config files printed with masked secrets\\n4. Run `clawdock-start` — verify auto-detection prompt and container start\\n5. Open web UI via `clawdock-dashboard` — verify WebSocket connects\\n6. Simulate stall: `docker pause openclaw-gateway`, wait ~60s, `docker unpause openclaw-gateway` — verify the browser reconnects automatically\\n\\n### Expected\\n\\n- Step 2: all commands listed with descriptions and guided first-time setup flow\\n- Step 3: `openclaw.json` in full, `.env` keys with truncated values\\n- Step 6: browser detects tick timeout, closes socket, reconnects, and reloads chat state\\n\\n### Actual\\n\\n- Matches expected\\n\\n## Evidence\\n\\n- [ ] Failing test/log before + passing after\\n- [ ] Trace/log snippets\\n- [x] Screenshot/recording\\n- [ ] Perf numbers (if relevant)\\n\\nTest updated: `app-gateway.node.test.ts` — event gap message changed from \\u0026#34;refresh recommended\\u0026#34; to \\u0026#34;reloading\\u0026#34;.\\n\\n\\nhttps://github.com/user-attachments/assets/d69d2893-41b6-4916-aef9-7494dd8dd91d\\n\\n## Human Verification (required)\\n\\n- Verified scenarios: `clawdock-help`, `clawdock-start`, `clawdock-config`, `clawdock-dashboard`, `clawdock-fix-token`, `clawdock-devices`, `clawdock-approve`, auto-detection flow, tick watchdog reconnect via container pause\\n- Edge cases checked: missing `.env`, unset `CLAWDOCK_DIR`, fresh install (no `~/.clawdock/config`), token mismatch recovery, zsh compatibility (no `BASH_REMATCH`)\\n- What you did **not** verify: Linux-only environments, `xdg-open` fallback in `clawdock-dashboard`, WhatsApp QR pairing end-to-end\\n\\n## Compatibility / Migration\\n\\n- Backward compatible? `Yes`\\n- Config/env changes? `No`\\n- Migration needed? `No` — users sourcing the old `scripts/shell-helpers/clawdock-helpers.sh` path will need to update their shell rc to the new `scripts/clawdock/clawdock-helpers.sh` path (or re-curl from the updated URL)\\n\\n## Failure Recovery (if this breaks)\\n\\n- How to disable/revert this change quickly: Remove `source ~/.clawdock/clawdock-helpers.sh` from shell rc; gateway/UI changes revert cleanly with the commit\\n- Files/config to restore: None — no config format changes\\n- Known bad symptoms reviewers should watch for: Excessive reconnects in the web UI (would indicate tick interval is too aggressive — currently 2x server interval)\\n\\n## Risks and Mitigations\\n\\n**Risk**: Tick watchdog triggers false reconnects if the server tick interval changes without updating the client default (30s).\\n**Mitigation**: Client reads `hello.policy.tickIntervalMs` from the server handshake; the 30s default is only a fallback.\\n\\n\\n**Risk**: `refreshChat` on event gap could cause a brief flash if the chat is mid-scroll.\\n**Mitigation**: Replaces a dead-end \\u0026#34;refresh recommended\\u0026#34; banner that users were ignoring — net UX improvement.\\n\\n**Risk**: Old `scripts/shell-helpers/` path breaks for users who curl\\u0026#39;d the previous URL.\\n**Mitigation**: The curl install path writes to `~/.clawdock/clawdock-helpers.sh` (unchanged) — only users sourcing directly from the repo checkout are affected, and they\\u0026#39;d need to update the path once.\\n\\n\\n\\n\\u003ch3\\u003eGreptile Summary\\u003c/h3\\u003e\\n\\nThis PR iterates on the ClawDock Docker helpers by moving `scripts/shell-helpers/` to `scripts/clawdock/`, expanding the shell functions with health-polling restarts, guided UX hints, and a new comprehensive README. On the gateway side, it adds a client-side tick watchdog to detect half-open WebSocket stalls (common in Docker/VPN proxies) and auto-reconnect, changes the event gap handler from a passive \\u0026#34;refresh recommended\\u0026#34; banner to calling `refreshChat()` automatically, and fixes a `connectTimer` leak in the server-side `GatewayClient.stop()`. The WhatsApp config schema gains an `enabled` field at the top level, and the doctor migration test is updated accordingly.\\n\\n- **Tick watchdog** in `GatewayBrowserClient`: monitors server ticks and closes the socket when ticks stall for 2x the interval, triggering the existing reconnect logic\\n- **Auto-reload on event gap**: `onGap` now calls `refreshChat()` instead of showing a dead-end banner\\n- **Timer leak fix**: `connectTimer` cleared in server-side `GatewayClient.stop()` — but the same fix is missing in the browser-side `GatewayBrowserClient.stop()`\\n- **WhatsApp schema**: adds `enabled: z.boolean().optional()` to `WhatsAppConfigSchema` to match account-level schema\\n- **Shell helpers**: significant expansion with `clawdock-config`, health-polling in `clawdock-update`/`clawdock-fix-token`, `OPENCLAW_INSTALL_BROWSER` build arg support, and auto-detection of project directory\\n\\n\\u003ch3\\u003eConfidence Score: 4/5\\u003c/h3\\u003e\\n\\n- This PR is safe to merge with one minor timer leak to address in the browser client.\\n- The changes are well-structured and the tick watchdog implementation is sound. The server-side timer leak fix is good, but the same fix was missed in the browser-side client. The WhatsApp schema change is minimal and correct. Shell script changes are documentation/tooling only with no production impact. Tests are updated to match behavior changes.\\n- `ui/src/ui/gateway.ts` — `connectTimer` leak in `stop()` should be fixed to match the server-side fix applied in this PR.\\n\\n\\u003csub\\u003eLast reviewed commit: 1678468\\u003c/sub\\u003e\\n\\n\\n\\n\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/23912\",\"user\":{\"login\":\"Olshansk\",\"id\":1892194,\"profile_url\":\"https://github.com/Olshansk\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1892194?v=4\"},\"labels\":[\"docs\",\"app: web-ui\",\"cli\",\"scripts\",\"commands\",\"docker\",\"agents\",\"stale\",\"size: L\",\"extensions: openai\"],\"head\":{\"ref\":\"clawdock_improvements\",\"sha\":\"7e034fd35edb54a54ee3cea3a382e712e0ab8e90\",\"repo\":{\"full_name\":\"Olshansk/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"ebfc5f82408f0d592e45db62c61c4834d2cb07e6\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-02-22T20:56:52Z\",\"updated_at\":\"2026-03-21T18:42:45Z\"},{\"number\":51777,\"title\":\"fix(onboard): resolve feishu dmPolicy config writing failure\",\"body\":\"## Summary\\n\\n- Problem: A bug in the onboard command prevents the `channels.feishu.dmPolicy` from being persisted to `~/.openclaw/openclaw.json`. Specifically, when the configuration key is missing from the initial config and the user explicitly selected `\\u0026#34;pairing\\u0026#34;` during the interactive setup, the internal state is not flushed to the disk, resulting in a mismatch between user selection and the final config file.\\n- Why it matters: According to the [official documentation](https://docs.openclaw.ai/channels/feishu#dmpolicy-reference), `\\u0026#34;pairing\\u0026#34;` is the most secure and recommended default policy for Feishu channel integration. This bug undermines the \\u0026#34;Secure by Default\\u0026#34; principle for new users during their first-time installation and onboarding experience.\\n- What changed: The configuration update trigger in `src/commands/onboard-channels.ts` is refactored. The previous implementation conditionally invokes `policy.setPolicy` only when a difference is detected between `current` and `nextPolicy`. The fix ensures `policy.setPolicy` is unconditionally called to guarantee the user\\u0026#39;s choice is correctly serialized to the `cfg` object and subsequently persisted to the filesystem.\\n- What did NOT change (scope boundary): The internal implementation of `policy.setPolicy` remains unchanged. No modifications were made to onboarding logic for other messaging channels.\\n\\n## Change Type (select all)\\n\\n- [x] Bug fix\\n- [ ] Feature\\n- [ ] Refactor required for the fix\\n- [ ] Docs\\n- [ ] Security hardening\\n- [ ] Chore/infra\\n\\n## Scope (select all touched areas)\\n\\n- [ ] Gateway / orchestration\\n- [ ] Skills / tool execution\\n- [ ] Auth / tokens\\n- [ ] Memory / storage\\n- [x] Integrations\\n- [ ] API / contracts\\n- [x] UI / DX\\n- [ ] CI/CD / infra\\n\\n\\n## User-visible / Behavior Changes\\n\\nThe config `channels.feishu.dmPolicy` selected during openclaw onboard for Feishu is now correctly saved into the configuration file `~/.openclaw/openclaw.json`.\\n\\n## Security Impact (required)\\n\\n- New permissions/capabilities? (`No`)\\n- Secrets/tokens handling changed? (`No`)\\n- New/changed network calls? (`No`)\\n- Command/tool execution surface changed? (`No`)\\n- Data access scope changed? (`No`)\\n\\n\\n## Human Verification (required)\\n\\nI have manually verified the fix in a local environment. To ensure a clean slate, I cleared all contents of the `~/.openclaw/openclaw.json` configuration file. I then executed `pnpm openclaw onboard` using the manual mode to configure `channels.feishu.dmPolicy`. During the interactive session, I selected the `\\u0026#34;pairing\\u0026#34;` option. Finally, I inspected the generated `~/.openclaw/openclaw.json` and confirmed that the attribute `channels.feishu.dmPolicy=\\u0026#34;pairing\\u0026#34;` was correctly persisted as expected.\\n\\n\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51777\",\"user\":{\"login\":\"cjg20ss\",\"id\":107795550,\"profile_url\":\"https://github.com/cjg20ss\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/107795550?v=4\"},\"labels\":[\"commands\",\"size: XS\"],\"head\":{\"ref\":\"fix/onboard-feishu-dmpolicy-config-error\",\"sha\":\"edf89137a560c5c4896ab139388780d9044d36da\",\"repo\":{\"full_name\":\"cjg20ss/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T17:21:39Z\",\"updated_at\":\"2026-03-21T18:42:22Z\"},{\"number\":50914,\"title\":\"fix(agents): strip inline image data before session JSONL persistence\",\"body\":\"## Summary\\n\\nStrip inline base64 image content blocks from user messages before writing to session JSONL transcript files. This prevents session file bloat caused by persisting raw image data that has already been processed by the model.\\n\\n## Problem\\n\\nWhen channels (Discord, Telegram, etc.) pass inbound images to the agent, user messages may contain `type: \\u0026#34;image\\u0026#34;` content blocks with full base64 payloads. These are persisted verbatim to session `.jsonl` files via `SessionManager.appendMessage()`, causing session files to grow rapidly — even though the model has already processed the image and an out-of-band media path/reference is available in the text.\\n\\n## Root cause\\n\\nThe `transformMessageForPersistence` pipeline in the session tool result guard sanitized tool calls and tool results, but did not strip user message image blocks before writing to the session transcript.\\n\\n## Fix\\n\\n- Add `stripImageContentForPersistence()` in `src/agents/pi-embedded-runner/run/history-image-prune.ts`\\n  - Pure function (does not mutate input, returns shallow clone)\\n  - Replaces `type: \\u0026#34;image\\u0026#34;` blocks with a text marker using the existing `PRUNED_HISTORY_IMAGE_MARKER` constant\\n  - Only transforms `user` role messages; passes through all other roles unchanged\\n- Integrate into the `transformMessageForPersistence` pipeline in `session-tool-result-guard-wrapper.ts`\\n  - Applied after `applyInputProvenanceToUserMessage`, before JSONL append\\n\\n## Testing\\n\\n- 6 new test cases in `history-image-prune.test.ts` covering:\\n  - Normal image block replacement\\n  - Immutability (original message not mutated)\\n  - Non-user role passthrough\\n  - No-image content passthrough\\n  - String content passthrough\\n  - Multiple image blocks\\n- All 10 tests pass: `pnpm test -- src/agents/pi-embedded-runner/run/history-image-prune.test.ts`\\n\\n## Related\\n\\n- Closes a similar concern raised in #1210\\n- Prior PR #42941 addressed the same problem but was auto-closed (`r: too-many-prs`). This implementation differs in:\\n  - Code lives in the dedicated `history-image-prune.ts` module alongside the existing runtime image pruner\\n  - Reuses the already established `PRUNED_HISTORY_IMAGE_MARKER` constant\\n  - More comprehensive test coverage (6 test cases vs 1)\\n  - Integrates via `transformMessageForPersistence` callback rather than inline in the guard\\n- Also includes an unrelated pre-existing format fix in `lifecycle.test.ts`\\n\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/50914\",\"user\":{\"login\":\"wysaid\",\"id\":1430725,\"profile_url\":\"https://github.com/wysaid\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1430725?v=4\"},\"labels\":[\"agents\",\"size: S\"],\"head\":{\"ref\":\"fix/strip-image-content-before-session-persistence\",\"sha\":\"098eda49cd98d90e70f8ede37b44315dfffb4598\",\"repo\":{\"full_name\":\"wysaid/clawdbot\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-20T07:49:03Z\",\"updated_at\":\"2026-03-21T18:40:08Z\"},{\"number\":43497,\"title\":\"fix(agents): recover subagent runs after gateway restart\",\"body\":\"## Problem\\n\\nWhen the OpenClaw gateway restarts mid-run, subagent sessions that were in-flight lose their running agent process. The session store (`sessions.json`) survives on disk, but `waitForSubagentCompletion` → `agent.wait` RPC fails silently (or returns a spurious `\\u0026#39;timeout\\u0026#39;` status) because the agent process is gone — causing a false failure cascade. Runs that actually completed never deliver their results.\\n\\n## What this PR does (Phase 1)\\n\\nThree targeted changes in `src/agents/`:\\n\\n### Change 1: `rehydrateSessionStoreEntries()` — `subagent-resume.ts`\\n\\nCalled in `restoreSubagentRunsOnce()` **before** `reconcileOrphanedRestoredRuns()` so the orphan check sees a populated store entry.\\n\\nFor in-flight registry entries whose session-store entry is missing:\\n1. Force a cache-bypassing re-read of `sessions.json` (handles the case where the store was written but the in-memory cache is stale)\\n2. If still missing, scan the agent\\u0026#39;s sessions directory for a `.jsonl` transcript created within 5 minutes of the registry entry\\u0026#39;s `createdAt`\\n3. If exactly one candidate is found, read its `{type:\\u0026#39;session\\u0026#39;}` header to extract the `sessionId`, then write a minimal synthetic store entry: `{ sessionId, updatedAt, sessionFile, spawnedBy, spawnDepth: 1 }`\\n\\nThis prevents false `\\u0026#39;missing-session-entry\\u0026#39;` orphan conclusions for the ~400ms race window between spawn and first store write.\\n\\n### Change 2: `resolveSubagentRunResumability()` — `subagent-resume.ts`\\n\\nReplaces the binary orphan/no-orphan check with a **4-way classification**:\\n\\n| State | Condition | Recovery action |\\n|---|---|---|\\n| `resumable-announce-only` | `endedAt` is already set | Retry announce delivery (already handled) |\\n| `resumable-replay` | Session-store entry exists, transcript has ≥1 assistant turn, no `endedAt` | Capture result from transcript, call `completeSubagentRun` |\\n| `resumable-fresh` | Session-store entry exists, transcript is empty/header-only, no `endedAt` | Re-dispatch original task via `callGateway(\\u0026#39;agent\\u0026#39;)` |\\n| `orphaned` | No session-store entry AND no recoverable transcript | Existing orphan-pruning behaviour |\\n\\n### Change 3: `resumeSubagentRun()` routing — `subagent-registry.ts`\\n\\nModified to call `routeResumedRun()` (which calls `resolveSubagentRunResumability()`) before falling through to the default `waitForSubagentCompletion` path:\\n\\n- **`resumable-replay`**: calls `completeSubagentRun` directly with `{ status: \\u0026#39;ok\\u0026#39; }`, which uses the existing `freezeRunResultAtCompletion` → `captureSubagentCompletionReply` flow to read the transcript result and trigger the announce flow. No `agent.wait` call needed.\\n- **`resumable-fresh`**: re-dispatches the original task to the child session via `callGateway(\\u0026#39;agent\\u0026#39;)` (new idempotency key), waits with `agent.wait` on the **new** run ID, then calls `completeSubagentRun` for the **original** run entry.\\n- **`orphaned`** / **`resumable-announce-only`**: unchanged — routed by existing logic.\\n\\n## What Phase 2 will cover (not in this PR)\\n\\n- Synthetic `tool_result` injection for partially-completed transcripts (to avoid re-running from scratch when the agent was mid-tool-call)\\n- `SIGTERM` checkpointing to write a graceful shutdown marker to the transcript\\n- Per-run max-resume caps to prevent infinite retry loops on pathological transcripts\\n\\n## Tests\\n\\n25 new unit tests in `src/agents/subagent-resume.test.ts`:\\n- `readTranscriptSessionId` — 5 cases (valid header, missing file, wrong type, empty, malformed JSON)\\n- `transcriptHasAssistantTurn` — 6 cases (has assistant, header only, user only, missing, empty, malformed + valid)\\n- `resolveSubagentRunResumability` — 7 cases covering all 4 classifications\\n- `rehydrateSessionStoreEntries` — skip completed, skip existing, synthesise from transcript\\n- `routeResumedRun` — orphaned → false, announce-only → false, replay → true, fresh → true\\n\\n## References\\n\\nCloses #27875\\nRelated: #19780, #20436\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/43497\",\"user\":{\"login\":\"amittell\",\"id\":1388680,\"profile_url\":\"https://github.com/amittell\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1388680?v=4\"},\"labels\":[\"agents\",\"size: XL\"],\"head\":{\"ref\":\"feat/subagent-restart-resume-phase1\",\"sha\":\"264e3909462e062fbe001ba652ff095e33595423\",\"repo\":{\"full_name\":\"amittell/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-11T22:09:24Z\",\"updated_at\":\"2026-03-21T18:38:54Z\"},{\"number\":49429,\"title\":\"feat(auth): add `models auth clean` command to prune stale auth profiles\",\"body\":\"Supersedes #41640 (clean single-commit rebase onto current upstream/main).\\n\\nAdds `openclaw models auth clean` — scans all agent directories, identifies stale auth profiles no longer referenced by any provider config, and removes them with proper file locking.\\n\\n**New:** `src/commands/models/auth-clean.ts` + test coverage. Supports `--dry-run`, per-agent scanning, skipInheritance to prevent scope bleed, agentLocalOnly writes.\\n\\n**Modified:** store.ts (skipInheritance, loadAgentLocalAuthProfileStore, agentLocalOnly in updateAuthProfileStoreWithLock), oauth.ts (sanitizeProfileId with ESC-byte stripping), external-cli-sync.ts, doctor.ts, models-cli.ts, models.ts barrel.\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/49429\",\"user\":{\"login\":\"amittell\",\"id\":1388680,\"profile_url\":\"https://github.com/amittell\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1388680?v=4\"},\"labels\":[\"cli\",\"commands\",\"agents\",\"size: XL\"],\"head\":{\"ref\":\"fix/auth-clean-v2\",\"sha\":\"3920a63b51ddc4c8f6ffd23a600d6e3ee690eb2a\",\"repo\":{\"full_name\":\"amittell/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-18T03:49:36Z\",\"updated_at\":\"2026-03-21T18:37:45Z\"}]"}]}]},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"bc45020f-c297-4f62-bce3-fa6bf593e0ca","timestamp":"2026-03-21T18:55:18.650Z","tool_use_result":[{"type":"text","text":"[{\"number\":51200,\"title\":\"Pass runtime context into assemble\",\"body\":\"## Summary\\n\\n- Problem: `assemble()` only received a total `tokenBudget`, so context-engine plugins could not see host-owned prompt costs such as the base system prompt, tool schema, or the current user prompt.\\n- Why it matters: budget-aware memory engines had to guess how much context was already consumed by the host runtime, which made prompt budgeting less accurate and could lead to overly aggressive or overly loose memory injection.\\n- What changed:\\n  - added an optional `runtimeContext` field to `ContextEngine.assemble()`\\n  - passed runtime prompt budget signals from the embedded runner into `assemble()`\\n  - preserved legacy compatibility for engines that reject unknown fields like `runtimeContext`\\n  - added tests and docs for the new assemble input\\n- What did NOT change (scope boundary):\\n  - no change to memory plugin APIs\\n  - no change to retrieval behavior by itself\\n  - no forced behavior change for legacy engines beyond exposing optional metadata\\n\\n## Change Type\\n\\n- [x] Feature\\n- [x] Refactor required for the fix\\n- [x] Docs\\n\\n## Scope\\n\\n- [x] Gateway / orchestration\\n- [x] API / contracts\\n\\n## Linked Issue/PR\\n\\n- Related # N/A\\n\",\"state\":\"closed\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51200\",\"user\":{\"login\":\"xiuminsama99\",\"id\":198452741,\"profile_url\":\"https://github.com/xiuminsama99\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/198452741?v=4\"},\"labels\":[\"docs\",\"cli\",\"commands\",\"agents\",\"size: XS\"],\"head\":{\"ref\":\"codex/assemble-runtime-context-budget\",\"sha\":\"d6367c2c55a2ef40f189300862d022b0276cc017\",\"repo\":{\"full_name\":\"xiuminsama99/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-20T19:24:05Z\",\"updated_at\":\"2026-03-21T18:45:29Z\",\"closed_at\":\"2026-03-21T18:45:17Z\"},{\"number\":34222,\"title\":\"fix: use content hash for memory flush dedup instead of compactionCount (#30115)\",\"body\":\"## What\\nReplace event-based memory flush deduplication (`compactionCount`) with state-based deduplication (content hash) to prevent duplicate MEMORY.md writes when compaction aborts.\\n\\n## Why\\nFixes #30115 — Compaction abort triggers duplicate memory flushes in MEMORY.md.\\n\\nThe existing dedup uses `compactionCount` (an event counter) to decide whether to skip a flush. When compaction aborts and retries, the counter increments but the session context stays the same, causing the same content to be flushed repeatedly (4-7x duplicate entries reported).\\n\\nRoot cause: `compactionCount` conflates \\u0026#34;compaction cycle count\\u0026#34; with \\u0026#34;content has changed\\u0026#34; — these are independent concerns. Two different compaction cycles can see identical context (abort → retry scenario), so event-based dedup is fundamentally wrong for this use case.\\n\\n## How\\n- **State-based dedup**: compute a SHA-256 hash (truncated to 16 hex chars) of `messages.length + last 3 user/assistant message contents` before each flush. If the hash matches the stored `memoryFlushContextHash`, skip the flush.\\n- **Two-layer design**: `shouldRunMemoryFlush()` unchanged (token threshold gate), hash check added as second gate in `runMemoryFlushIfNeeded()`.\\n- **`willRetry` fix**: `onAgentEvent` now checks `!evt.data?.willRetry` before marking `memoryCompactionCompleted = true`, preventing retry-in-progress compaction from being incorrectly treated as completed.\\n- **Performance**: `readTranscriptTailMessages()` reads only the last 64KB of the transcript file (not the full file).\\n- **Hash timing**: stores the hash computed *before* the flush run (not after), since the flush turn itself writes to the transcript and would change the hash.\\n\\n### Scenario behavior\\n| Scenario | Behavior |\\n|----------|----------|\\n| Compaction abort | messages unchanged → hash unchanged → skip ✅ |\\n| Compaction success | messages compressed → hash changed → allow flush ✅ |\\n| New messages | tail content changed → hash changed → allow flush ✅ |\\n| Persistence failure | `contextHashBeforeFlush` used in-memory → no re-flush within session ✅ |\\n\\n## Files changed (3 + 1 test)\\n- `src/auto-reply/reply/memory-flush.ts` — new `computeContextHash()` function\\n- `src/auto-reply/reply/agent-runner-memory.ts` — hash check gate + willRetry fix + tail reader\\n- `src/config/sessions/types.ts` — add `memoryFlushContextHash` field to `SessionEntry`\\n- `src/auto-reply/reply/memory-flush.test.ts` — 8 unit tests for `computeContextHash`\\n\\n## Testing\\n- [x] `pnpm build` passes\\n- [x] `pnpm check` passes (lint + format)\\n- [x] `pnpm test` — 811/812 pass (1 pre-existing failure in `process-respawn.test.ts`)\\n- [x] 8 new unit tests for `computeContextHash` (empty input, object content, undefined content, system message filtering, length differentiation, tail behavior)\\n- [x] AI-assisted (OpenClaw agents 李飞飞/陈皮皮/毛豆豆, cross-reviewed, fully tested)\\n\\n## Backward compatibility\\n- `memoryFlushContextHash` undefined → falls back to existing `compactionCount` logic\\n- `memoryFlushCompactionCount` field preserved (not removed)\\n- First flush after upgrade runs normally (hash is empty = allow), subsequent flushes use hash dedup\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/34222\",\"user\":{\"login\":\"lml2468\",\"id\":39320777,\"profile_url\":\"https://github.com/lml2468\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/39320777?v=4\"},\"labels\":[\"cli\",\"size: M\"],\"assignees\":[\"jalehman\"],\"head\":{\"ref\":\"fix/memory-flush-dedup\",\"sha\":\"bce6f0bda03a203cd5c565d762334c8618197fc3\",\"repo\":{\"full_name\":\"lml2468/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-04T09:13:16Z\",\"updated_at\":\"2026-03-21T18:45:21Z\"},{\"number\":51816,\"title\":\"ACP: add hung-turn starvation repro\",\"body\":\"## Summary\\n\\n- Problem: a bound ACP session can stop replying if one `runtime.runTurn()` never completes, because later turns on that session stay queued behind the stuck turn.\\n- Why it matters: Discord ACP bindings like `#codex-1` can look dead until the session is reset, even though the gateway is still up.\\n- What changed: added a characterization test in `src/acp/control-plane/manager.test.ts` that reproduces the starvation path deterministically.\\n- What did NOT change (scope boundary): this PR does not add timeout, cancellation, or recovery logic yet.\\n\\n## Change Type (select all)\\n\\n- [x] Bug fix\\n- [ ] Feature\\n- [ ] Refactor required for the fix\\n- [ ] Docs\\n- [ ] Security hardening\\n- [ ] Chore/infra\\n\\n## Scope (select all touched areas)\\n\\n- [x] Gateway / orchestration\\n- [ ] Skills / tool execution\\n- [ ] Auth / tokens\\n- [ ] Memory / storage\\n- [ ] Integrations\\n- [ ] API / contracts\\n- [ ] UI / DX\\n- [ ] CI/CD / infra\\n\\n## Linked Issue/PR\\n\\n- None\\n\\n## User-visible / Behavior Changes\\n\\nNone.\\n\\n## Security Impact (required)\\n\\n- New permissions/capabilities? (`No`)\\n- Secrets/tokens handling changed? (`No`)\\n- New/changed network calls? (`No`)\\n- Command/tool execution surface changed? (`No`)\\n- Data access scope changed? (`No`)\\n- If any `Yes`, explain risk + mitigation:\\n\\n## Repro + Verification\\n\\n### Environment\\n\\n- OS: Linux\\n- Runtime/container: Node 22, `pnpm test` wrapper\\n- Model/provider: N/A\\n- Integration/channel (if any): ACP session manager; repro mirrors a persistent Discord-bound ACP session\\n- Relevant config (redacted): persistent ACP binding on a single session\\n\\n### Steps\\n\\n1. Create an `AcpSessionManager` whose fake runtime blocks forever on the first `runTurn()` call.\\n2. Start one turn for a session, then enqueue a second turn for the same session.\\n3. Observe that the second turn never starts until the first blocked turn is manually released.\\n\\n### Expected\\n\\n- A hung turn should not be able to starve all later turns on the same bound session indefinitely.\\n\\n### Actual\\n\\n- `AcpSessionManager.runTurn()` waits forever on the first hung turn, keeps the session actor occupied, and leaves later turns queued.\\n\\n## Evidence\\n\\nAttach at least one:\\n\\n- [ ] Failing test/log before + passing after\\n- [x] Trace/log snippets\\n- [ ] Screenshot/recording\\n- [ ] Perf numbers (if relevant)\\n\\nLive symptom evidence during investigation:\\n\\n- bound Discord ACP session state stayed `running` with `abortedLastRun: true`\\n- the corresponding ACP worker process stayed idle while later channel messages received no reply\\n- code inspection shows `src/auto-reply/reply/dispatch-acp.ts` awaits `runTurn()`, and `src/acp/control-plane/manager.core.ts` serializes turns per session without a manager-side timeout around `for await (const event of runtime.runTurn(...))`\\n\\n## Human Verification (required)\\n\\nWhat you personally verified (not just CI), and how:\\n\\n- Verified scenarios: `pnpm test -- src/acp/control-plane/manager.test.ts -t \\u0026#34;reproduces queue starvation when a runtime turn never completes\\u0026#34;`\\n- Edge cases checked: the second queued turn stays pending until the first is released; the observability snapshot reports the session as active with queued work.\\n- What you did **not** verify: no runtime fix yet; no end-to-end Discord recovery test yet.\\n\\n## Review Conversations\\n\\n- [x] I replied to or resolved every bot review conversation I addressed in this PR.\\n- [x] I left unresolved only the conversations that still need reviewer or maintainer judgment.\\n\\nIf a bot review conversation is addressed by this PR, resolve that conversation yourself. Do not leave bot review conversation cleanup for maintainers.\\n\\n## Compatibility / Migration\\n\\n- Backward compatible? (`Yes`)\\n- Config/env changes? (`No`)\\n- Migration needed? (`No`)\\n- If yes, exact upgrade steps:\\n\\n## Failure Recovery (if this breaks)\\n\\n- How to disable/revert this change quickly: revert commit `b45ffc1476`\\n- Files/config to restore: `src/acp/control-plane/manager.test.ts`\\n- Known bad symptoms reviewers should watch for: none beyond a test expectation mismatch if the manager behavior changes during fix work.\\n\\n## Risks and Mitigations\\n\\n- Risk: this is a repro-only PR and could be mistaken for a full fix.\\n  - Mitigation: kept the PR in draft and called out the scope boundary explicitly.\\n\",\"state\":\"open\",\"draft\":true,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51816\",\"user\":{\"login\":\"dutifulbob\",\"id\":261991368,\"profile_url\":\"https://github.com/dutifulbob\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/261991368?v=4\"},\"labels\":[\"size: S\"],\"head\":{\"ref\":\"fix/acp-runturn-starvation-repro\",\"sha\":\"b45ffc1476ff7cbef3970e252ce6048d7e9760fd\",\"repo\":{\"full_name\":\"osolmaz/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform.\"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T18:44:59Z\",\"updated_at\":\"2026-03-21T18:45:12Z\"},{\"number\":48417,\"title\":\"fix(agent): do not persist fallback model as session runtime model\",\"body\":\"## Summary\\n\\nFixes #47705.\\n\\nWhen the primary model is temporarily unavailable (overloaded, rate-limited) and a fallback handles the request, the fallback model was being written back to the session store via `setSessionRuntimeModel`. On every subsequent request `resolveSessionModelRef` would return the fallback model, so the configured primary was **never retried** after it recovered.\\n\\n## Root cause\\n\\n`updateSessionStoreAfterAgentRun` unconditionally calls `setSessionRuntimeModel(next, { provider: providerUsed, model: modelUsed })` after every run. When a fallback ran, `providerUsed`/`modelUsed` reflect the fallback, and this gets written to `entry.model` / `entry.modelProvider`. `resolveSessionModelRef` then returns the stored runtime model on every future call, bypassing the configured primary entirely.\\n\\n## Fix\\n\\nAdd an `isFromFallback` parameter to `updateSessionStoreAfterAgentRun`. When true, skip `setSessionRuntimeModel` so the session entry retains no runtime model (or retains its previous primary if one was stored). On the next request the session has no stale fallback recorded, so `resolveSessionModelRef` returns the configured primary and it gets a fresh retry.\\n\\nThe same guard is applied in the cron/isolated-agent path, which calls `setSessionRuntimeModel` directly.\\n\\nThe `isFromFallback` flag is computed at the agent.ts callsite as:\\n```ts\\nisFromFallback: fallbackModel !== model || fallbackProvider !== provider\\n```\\n\\n## What this does NOT change\\n\\n- Context token tracking still uses the actual model that ran (correct for prompt sizing)\\n- CLI session ID recording is unaffected\\n- The fallback model is still used for the current run — only the persistence step is skipped\\n- No change to `resolveSessionModelRef` itself\\n\\n## Testing\\n\\nExisting unit tests pass. The fix is covered by the existing `session-store.test.ts` and `run.cron-model-override.test.ts` suites (38 tests across 9 files, all green).\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/48417\",\"user\":{\"login\":\"amittell\",\"id\":1388680,\"profile_url\":\"https://github.com/amittell\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1388680?v=4\"},\"labels\":[\"commands\",\"agents\",\"size: M\"],\"head\":{\"ref\":\"fix/47705-fallback-model-no-persist\",\"sha\":\"7bc6f9702b2856b52c139b3fee26657b18472b48\",\"repo\":{\"full_name\":\"amittell/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-16T18:14:36Z\",\"updated_at\":\"2026-03-21T18:44:40Z\"},{\"number\":51803,\"title\":\"fix: persist followup queues across gateway restart\",\"body\":\"## Summary\\n\\nPhase 1 fix for #51620: prevents silent message loss when the gateway restarts while followup queue items are pending.\\n\\n## Changes\\n\\n### New files\\n- **`src/auto-reply/reply/queue/persist.ts`** — Serialize/deserialize `FOLLOWUP_QUEUES` to `state/pending-followups.json`. Uses a consume pattern (read + delete) matching the existing restart sentinel approach.\\n- **`src/gateway/replay-persisted-followups.ts`** — On startup, reads persisted items and injects them as system events on their respective sessions, so the agent sees and responds to them on the next turn.\\n- **`src/auto-reply/reply/queue/persist.test.ts`** — 8 tests covering persist, consume, round-trip, malformed JSON, and wrong version handling.\\n\\n### Modified files\\n- **`src/gateway/server-close.ts`** — Call `persistFollowupQueues()` before `chatRunState.clear()` during shutdown.\\n- **`src/gateway/server-startup.ts`** — Schedule `replayPersistedFollowups()` 1s after startup (runs unconditionally, not just after restart sentinel).\\n- **`src/auto-reply/reply/queue.ts`** — Re-export persist functions.\\n\\n## Design decisions\\n\\n- **System event injection for replay** (not direct re-dispatch): Phase 1 injects persisted messages as system events rather than reconstructing full `MsgContext` objects for `getReplyFromConfig`. This is simpler and safer — the agent sees the messages on its next turn (heartbeat, new message, or cron) with full context about the replay.\\n- **Selective serialization**: Only serializable routing/identity fields from `FollowupRun` are persisted. The full `config` and `skillsSnapshot` are omitted (they\\u0026#39;d be stale after restart anyway).\\n- **Best-effort persist**: Persist failure during shutdown is logged but doesn\\u0026#39;t block the shutdown sequence.\\n- **Unconditional replay**: Runs on every startup, not just after restart sentinel, since followups could be persisted from any shutdown path.\\n\\n## What this doesn\\u0026#39;t cover (future phases)\\n\\n- **Phase 2**: Handle drain-window arrivals (`GatewayDrainingError` rejections)\\n- **Phase 3**: Channel-level message acknowledgment deferral\\n\\nFixes #51620 (Phase 1)\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51803\",\"user\":{\"login\":\"henry-the-frog\",\"id\":268985413,\"profile_url\":\"https://github.com/henry-the-frog\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/268985413?v=4\"},\"labels\":[\"app: web-ui\",\"gateway\",\"size: L\"],\"head\":{\"ref\":\"fix/persist-followup-queues-restart\",\"sha\":\"9e58a77af94a619ed3955ef95262e0da8f450ad7\",\"repo\":{\"full_name\":\"henry-the-frog/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fd2b3ed6af9c3ec6ee9e5e0f16410cf286159002\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T18:22:41Z\",\"updated_at\":\"2026-03-21T18:43:15Z\"},{\"number\":23912,\"title\":\"[ClawDock] Iteration on the first submission; bug fixes, UX improvements, etc\",\"body\":\"## tl;dr\\n\\n- Handful of iterations on the first version\\n- Tend to a handful of issues/PRs opened up since first merge\\n- Rename to top-level `scripts/clawdock` directory\\n- Fix some WhatsApp \\u0026amp; Docker related bugs\\n\\nhttps://github.com/user-attachments/assets/d69d2893-41b6-4916-aef9-7494dd8dd91d\\n\\n## Summary\\n\\nAdditional reference: - https://github.com/openclaw/openclaw/discussions/13528#discussioncomment-15885279\\n\\n### Problem(s)\\n\\nRunning OpenClaw in Docker requires memorizing long `docker compose` commands, manual token wiring, and has no docs for data persistence or config layout. The WebSocket connection silently stalls behind Docker/VPN proxies (half-open sockets), leaving the web UI frozen with no recovery path.\\n\\nSupersedes #17104, #17132, #17179, #21934 (fixes #21914)\\n\\n### Why it matters\\n\\nDocker is the primary deployment path for self-hosters. Silent WebSocket stalls make users think the bot is down when it\\u0026#39;s running fine — they just need to refresh, but nothing tells them that.\\n\\n### What changed\\n- **ClawDock helpers** (`scripts/clawdock/clawdock-helpers.sh`): 15+ shell functions (`clawdock-start`, `clawdock-update`, `clawdock-dashboard`, `clawdock-config`, etc.) with auto-detection of the OpenClaw project directory, colored output, guided next-step hints, and health-polling restarts.\\n- **ClawDock README** (`scripts/clawdock/README.md`): full docs covering quickstart, command reference, config/secrets layout, env precedence, data \\u0026amp; backups, and common workflows.\\n- **Tick watchdog** in `GatewayBrowserClient`: tracks server tick events and forces reconnect when ticks stall for 2x the interval — detects half-open sockets that TCP keepalive misses in Docker/VPN environments.\\n- **Auto-reload on event gap**: changed from a passive \\u0026#34;refresh recommended\\u0026#34; banner to calling `refreshChat()` automatically, so the UI recovers without user intervention.\\n- **Timer leak fix** in `GatewayClient.stop()`: clears `connectTimer` on shutdown, preventing zombie reconnect attempts.\\n- **Moved** `scripts/shell-helpers/` → `scripts/clawdock/` and updated all references (`docs/install/docker.md`, install URLs in the script header).\\n- **What did NOT change (scope boundary):** No changes to the gateway server, Docker Compose files, Dockerfile, or any channel/integration code. The tick watchdog is client-side only — no new server events.\\n\\n## Change Type (select all)\\n\\n- [x] Bug fix\\n- [x] Feature\\n- [ ] Refactor\\n- [x] Docs\\n- [ ] Security hardening\\n- [ ] Chore/infra\\n\\n## Scope (select all touched areas)\\n\\n- [x] Gateway / orchestration\\n- [ ] Skills / tool execution\\n- [ ] Auth / tokens\\n- [ ] Memory / storage\\n- [ ] Integrations\\n- [ ] API / contracts\\n- [x] UI / DX\\n- [ ] CI/CD / infra\\n\\n## Linked Issue/PR\\n\\n- Closes #21914\\n- Related #17104, #17132, #17179, #21934\\n\\n## User-visible / Behavior Changes\\n\\n- New `clawdock-*` shell functions available after sourcing `clawdock-helpers.sh` (install via curl or source from repo)\\n- `clawdock-config` prints all config files with masked secret values (replaces the old `cd ~/.openclaw` behavior)\\n- `clawdock-update` and `clawdock-fix-token` now health-poll the gateway instead of a blind `sleep 5`\\n- `clawdock-rebuild` passes `OPENCLAW_INSTALL_BROWSER` build arg from `.env` (previously undocumented gap)\\n- Web UI auto-reloads chat on event gaps instead of showing a passive \\u0026#34;refresh recommended\\u0026#34; banner\\n- Web UI auto-reconnects when the WebSocket silently stalls (tick timeout at 2x server tick interval)\\n- Gateway client no longer leaks reconnect timers after `stop()` is called\\n\\n## Security Impact (required)\\n\\n- New permissions/capabilities? `No`\\n- Secrets/tokens handling changed? `No` — `clawdock-config` masks `.env` values to first 8 chars; `openclaw.json` is printed in full (tokens are already visible to the user locally)\\n- New/changed network calls? `No` — tick watchdog only monitors existing events; no new network calls\\n- Command/tool execution surface changed? `No`\\n- Data access scope changed? `No`\\n\\n## Repro + Verification\\n\\n### Environment\\n\\n- **OS**: macOS / Linux (Docker host)\\n- **Runtime/container**: Docker with `openclaw:local` image\\n- **Model/provider**: Any\\n- **Integration/channel** (if any): Web UI\\n- **Relevant config (redacted)**: Default ClawDock `.env`\\n\\n### Steps\\n\\n1. Source helpers: `source scripts/clawdock/clawdock-helpers.sh`\\n2. Run `clawdock-help` — verify colored command listing with grouped sections\\n3. Run `clawdock-config` — verify config files printed with masked secrets\\n4. Run `clawdock-start` — verify auto-detection prompt and container start\\n5. Open web UI via `clawdock-dashboard` — verify WebSocket connects\\n6. Simulate stall: `docker pause openclaw-gateway`, wait ~60s, `docker unpause openclaw-gateway` — verify the browser reconnects automatically\\n\\n### Expected\\n\\n- Step 2: all commands listed with descriptions and guided first-time setup flow\\n- Step 3: `openclaw.json` in full, `.env` keys with truncated values\\n- Step 6: browser detects tick timeout, closes socket, reconnects, and reloads chat state\\n\\n### Actual\\n\\n- Matches expected\\n\\n## Evidence\\n\\n- [ ] Failing test/log before + passing after\\n- [ ] Trace/log snippets\\n- [x] Screenshot/recording\\n- [ ] Perf numbers (if relevant)\\n\\nTest updated: `app-gateway.node.test.ts` — event gap message changed from \\u0026#34;refresh recommended\\u0026#34; to \\u0026#34;reloading\\u0026#34;.\\n\\n\\nhttps://github.com/user-attachments/assets/d69d2893-41b6-4916-aef9-7494dd8dd91d\\n\\n## Human Verification (required)\\n\\n- Verified scenarios: `clawdock-help`, `clawdock-start`, `clawdock-config`, `clawdock-dashboard`, `clawdock-fix-token`, `clawdock-devices`, `clawdock-approve`, auto-detection flow, tick watchdog reconnect via container pause\\n- Edge cases checked: missing `.env`, unset `CLAWDOCK_DIR`, fresh install (no `~/.clawdock/config`), token mismatch recovery, zsh compatibility (no `BASH_REMATCH`)\\n- What you did **not** verify: Linux-only environments, `xdg-open` fallback in `clawdock-dashboard`, WhatsApp QR pairing end-to-end\\n\\n## Compatibility / Migration\\n\\n- Backward compatible? `Yes`\\n- Config/env changes? `No`\\n- Migration needed? `No` — users sourcing the old `scripts/shell-helpers/clawdock-helpers.sh` path will need to update their shell rc to the new `scripts/clawdock/clawdock-helpers.sh` path (or re-curl from the updated URL)\\n\\n## Failure Recovery (if this breaks)\\n\\n- How to disable/revert this change quickly: Remove `source ~/.clawdock/clawdock-helpers.sh` from shell rc; gateway/UI changes revert cleanly with the commit\\n- Files/config to restore: None — no config format changes\\n- Known bad symptoms reviewers should watch for: Excessive reconnects in the web UI (would indicate tick interval is too aggressive — currently 2x server interval)\\n\\n## Risks and Mitigations\\n\\n**Risk**: Tick watchdog triggers false reconnects if the server tick interval changes without updating the client default (30s).\\n**Mitigation**: Client reads `hello.policy.tickIntervalMs` from the server handshake; the 30s default is only a fallback.\\n\\n\\n**Risk**: `refreshChat` on event gap could cause a brief flash if the chat is mid-scroll.\\n**Mitigation**: Replaces a dead-end \\u0026#34;refresh recommended\\u0026#34; banner that users were ignoring — net UX improvement.\\n\\n**Risk**: Old `scripts/shell-helpers/` path breaks for users who curl\\u0026#39;d the previous URL.\\n**Mitigation**: The curl install path writes to `~/.clawdock/clawdock-helpers.sh` (unchanged) — only users sourcing directly from the repo checkout are affected, and they\\u0026#39;d need to update the path once.\\n\\n\\n\\n\\u003ch3\\u003eGreptile Summary\\u003c/h3\\u003e\\n\\nThis PR iterates on the ClawDock Docker helpers by moving `scripts/shell-helpers/` to `scripts/clawdock/`, expanding the shell functions with health-polling restarts, guided UX hints, and a new comprehensive README. On the gateway side, it adds a client-side tick watchdog to detect half-open WebSocket stalls (common in Docker/VPN proxies) and auto-reconnect, changes the event gap handler from a passive \\u0026#34;refresh recommended\\u0026#34; banner to calling `refreshChat()` automatically, and fixes a `connectTimer` leak in the server-side `GatewayClient.stop()`. The WhatsApp config schema gains an `enabled` field at the top level, and the doctor migration test is updated accordingly.\\n\\n- **Tick watchdog** in `GatewayBrowserClient`: monitors server ticks and closes the socket when ticks stall for 2x the interval, triggering the existing reconnect logic\\n- **Auto-reload on event gap**: `onGap` now calls `refreshChat()` instead of showing a dead-end banner\\n- **Timer leak fix**: `connectTimer` cleared in server-side `GatewayClient.stop()` — but the same fix is missing in the browser-side `GatewayBrowserClient.stop()`\\n- **WhatsApp schema**: adds `enabled: z.boolean().optional()` to `WhatsAppConfigSchema` to match account-level schema\\n- **Shell helpers**: significant expansion with `clawdock-config`, health-polling in `clawdock-update`/`clawdock-fix-token`, `OPENCLAW_INSTALL_BROWSER` build arg support, and auto-detection of project directory\\n\\n\\u003ch3\\u003eConfidence Score: 4/5\\u003c/h3\\u003e\\n\\n- This PR is safe to merge with one minor timer leak to address in the browser client.\\n- The changes are well-structured and the tick watchdog implementation is sound. The server-side timer leak fix is good, but the same fix was missed in the browser-side client. The WhatsApp schema change is minimal and correct. Shell script changes are documentation/tooling only with no production impact. Tests are updated to match behavior changes.\\n- `ui/src/ui/gateway.ts` — `connectTimer` leak in `stop()` should be fixed to match the server-side fix applied in this PR.\\n\\n\\u003csub\\u003eLast reviewed commit: 1678468\\u003c/sub\\u003e\\n\\n\\n\\n\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/23912\",\"user\":{\"login\":\"Olshansk\",\"id\":1892194,\"profile_url\":\"https://github.com/Olshansk\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1892194?v=4\"},\"labels\":[\"docs\",\"app: web-ui\",\"cli\",\"scripts\",\"commands\",\"docker\",\"agents\",\"stale\",\"size: L\",\"extensions: openai\"],\"head\":{\"ref\":\"clawdock_improvements\",\"sha\":\"7e034fd35edb54a54ee3cea3a382e712e0ab8e90\",\"repo\":{\"full_name\":\"Olshansk/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"ebfc5f82408f0d592e45db62c61c4834d2cb07e6\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-02-22T20:56:52Z\",\"updated_at\":\"2026-03-21T18:42:45Z\"},{\"number\":51777,\"title\":\"fix(onboard): resolve feishu dmPolicy config writing failure\",\"body\":\"## Summary\\n\\n- Problem: A bug in the onboard command prevents the `channels.feishu.dmPolicy` from being persisted to `~/.openclaw/openclaw.json`. Specifically, when the configuration key is missing from the initial config and the user explicitly selected `\\u0026#34;pairing\\u0026#34;` during the interactive setup, the internal state is not flushed to the disk, resulting in a mismatch between user selection and the final config file.\\n- Why it matters: According to the [official documentation](https://docs.openclaw.ai/channels/feishu#dmpolicy-reference), `\\u0026#34;pairing\\u0026#34;` is the most secure and recommended default policy for Feishu channel integration. This bug undermines the \\u0026#34;Secure by Default\\u0026#34; principle for new users during their first-time installation and onboarding experience.\\n- What changed: The configuration update trigger in `src/commands/onboard-channels.ts` is refactored. The previous implementation conditionally invokes `policy.setPolicy` only when a difference is detected between `current` and `nextPolicy`. The fix ensures `policy.setPolicy` is unconditionally called to guarantee the user\\u0026#39;s choice is correctly serialized to the `cfg` object and subsequently persisted to the filesystem.\\n- What did NOT change (scope boundary): The internal implementation of `policy.setPolicy` remains unchanged. No modifications were made to onboarding logic for other messaging channels.\\n\\n## Change Type (select all)\\n\\n- [x] Bug fix\\n- [ ] Feature\\n- [ ] Refactor required for the fix\\n- [ ] Docs\\n- [ ] Security hardening\\n- [ ] Chore/infra\\n\\n## Scope (select all touched areas)\\n\\n- [ ] Gateway / orchestration\\n- [ ] Skills / tool execution\\n- [ ] Auth / tokens\\n- [ ] Memory / storage\\n- [x] Integrations\\n- [ ] API / contracts\\n- [x] UI / DX\\n- [ ] CI/CD / infra\\n\\n\\n## User-visible / Behavior Changes\\n\\nThe config `channels.feishu.dmPolicy` selected during openclaw onboard for Feishu is now correctly saved into the configuration file `~/.openclaw/openclaw.json`.\\n\\n## Security Impact (required)\\n\\n- New permissions/capabilities? (`No`)\\n- Secrets/tokens handling changed? (`No`)\\n- New/changed network calls? (`No`)\\n- Command/tool execution surface changed? (`No`)\\n- Data access scope changed? (`No`)\\n\\n\\n## Human Verification (required)\\n\\nI have manually verified the fix in a local environment. To ensure a clean slate, I cleared all contents of the `~/.openclaw/openclaw.json` configuration file. I then executed `pnpm openclaw onboard` using the manual mode to configure `channels.feishu.dmPolicy`. During the interactive session, I selected the `\\u0026#34;pairing\\u0026#34;` option. Finally, I inspected the generated `~/.openclaw/openclaw.json` and confirmed that the attribute `channels.feishu.dmPolicy=\\u0026#34;pairing\\u0026#34;` was correctly persisted as expected.\\n\\n\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/51777\",\"user\":{\"login\":\"cjg20ss\",\"id\":107795550,\"profile_url\":\"https://github.com/cjg20ss\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/107795550?v=4\"},\"labels\":[\"commands\",\"size: XS\"],\"head\":{\"ref\":\"fix/onboard-feishu-dmpolicy-config-error\",\"sha\":\"edf89137a560c5c4896ab139388780d9044d36da\",\"repo\":{\"full_name\":\"cjg20ss/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-21T17:21:39Z\",\"updated_at\":\"2026-03-21T18:42:22Z\"},{\"number\":50914,\"title\":\"fix(agents): strip inline image data before session JSONL persistence\",\"body\":\"## Summary\\n\\nStrip inline base64 image content blocks from user messages before writing to session JSONL transcript files. This prevents session file bloat caused by persisting raw image data that has already been processed by the model.\\n\\n## Problem\\n\\nWhen channels (Discord, Telegram, etc.) pass inbound images to the agent, user messages may contain `type: \\u0026#34;image\\u0026#34;` content blocks with full base64 payloads. These are persisted verbatim to session `.jsonl` files via `SessionManager.appendMessage()`, causing session files to grow rapidly — even though the model has already processed the image and an out-of-band media path/reference is available in the text.\\n\\n## Root cause\\n\\nThe `transformMessageForPersistence` pipeline in the session tool result guard sanitized tool calls and tool results, but did not strip user message image blocks before writing to the session transcript.\\n\\n## Fix\\n\\n- Add `stripImageContentForPersistence()` in `src/agents/pi-embedded-runner/run/history-image-prune.ts`\\n  - Pure function (does not mutate input, returns shallow clone)\\n  - Replaces `type: \\u0026#34;image\\u0026#34;` blocks with a text marker using the existing `PRUNED_HISTORY_IMAGE_MARKER` constant\\n  - Only transforms `user` role messages; passes through all other roles unchanged\\n- Integrate into the `transformMessageForPersistence` pipeline in `session-tool-result-guard-wrapper.ts`\\n  - Applied after `applyInputProvenanceToUserMessage`, before JSONL append\\n\\n## Testing\\n\\n- 6 new test cases in `history-image-prune.test.ts` covering:\\n  - Normal image block replacement\\n  - Immutability (original message not mutated)\\n  - Non-user role passthrough\\n  - No-image content passthrough\\n  - String content passthrough\\n  - Multiple image blocks\\n- All 10 tests pass: `pnpm test -- src/agents/pi-embedded-runner/run/history-image-prune.test.ts`\\n\\n## Related\\n\\n- Closes a similar concern raised in #1210\\n- Prior PR #42941 addressed the same problem but was auto-closed (`r: too-many-prs`). This implementation differs in:\\n  - Code lives in the dedicated `history-image-prune.ts` module alongside the existing runtime image pruner\\n  - Reuses the already established `PRUNED_HISTORY_IMAGE_MARKER` constant\\n  - More comprehensive test coverage (6 test cases vs 1)\\n  - Integrates via `transformMessageForPersistence` callback rather than inline in the guard\\n- Also includes an unrelated pre-existing format fix in `lifecycle.test.ts`\\n\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/50914\",\"user\":{\"login\":\"wysaid\",\"id\":1430725,\"profile_url\":\"https://github.com/wysaid\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1430725?v=4\"},\"labels\":[\"agents\",\"size: S\"],\"head\":{\"ref\":\"fix/strip-image-content-before-session-persistence\",\"sha\":\"098eda49cd98d90e70f8ede37b44315dfffb4598\",\"repo\":{\"full_name\":\"wysaid/clawdbot\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"base\":{\"ref\":\"main\",\"sha\":\"fb50c98d672dd622887e1a60c1583e2e677ed324\",\"repo\":{\"full_name\":\"openclaw/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \"}},\"created_at\":\"2026-03-20T07:49:03Z\",\"updated_at\":\"2026-03-21T18:40:08Z\"},{\"number\":43497,\"title\":\"fix(agents): recover subagent runs after gateway restart\",\"body\":\"## Problem\\n\\nWhen the OpenClaw gateway restarts mid-run, subagent sessions that were in-flight lose their running agent process. The session store (`sessions.json`) survives on disk, but `waitForSubagentCompletion` → `agent.wait` RPC fails silently (or returns a spurious `\\u0026#39;timeout\\u0026#39;` status) because the agent process is gone — causing a false failure cascade. Runs that actually completed never deliver their results.\\n\\n## What this PR does (Phase 1)\\n\\nThree targeted changes in `src/agents/`:\\n\\n### Change 1: `rehydrateSessionStoreEntries()` — `subagent-resume.ts`\\n\\nCalled in `restoreSubagentRunsOnce()` **before** `reconcileOrphanedRestoredRuns()` so the orphan check sees a populated store entry.\\n\\nFor in-flight registry entries whose session-store entry is missing:\\n1. Force a cache-bypassing re-read of `sessions.json` (handles the case where the store was written but the in-memory cache is stale)\\n2. If still missing, scan the agent\\u0026#39;s sessions directory for a `.jsonl` transcript created within 5 minutes of the registry entry\\u0026#39;s `createdAt`\\n3. If exactly one candidate is found, read its `{type:\\u0026#39;session\\u0026#39;}` header to extract the `sessionId`, then write a minimal synthetic store entry: `{ sessionId, updatedAt, sessionFile, spawnedBy, spawnDepth: 1 }`\\n\\nThis prevents false `\\u0026#39;missing-session-entry\\u0026#39;` orphan conclusions for the ~400ms race window between spawn and first store write.\\n\\n### Change 2: `resolveSubagentRunResumability()` — `subagent-resume.ts`\\n\\nReplaces the binary orphan/no-orphan check with a **4-way classification**:\\n\\n| State | Condition | Recovery action |\\n|---|---|---|\\n| `resumable-announce-only` | `endedAt` is already set | Retry announce delivery (already handled) |\\n| `resumable-replay` | Session-store entry exists, transcript has ≥1 assistant turn, no `endedAt` | Capture result from transcript, call `completeSubagentRun` |\\n| `resumable-fresh` | Session-store entry exists, transcript is empty/header-only, no `endedAt` | Re-dispatch original task via `callGateway(\\u0026#39;agent\\u0026#39;)` |\\n| `orphaned` | No session-store entry AND no recoverable transcript | Existing orphan-pruning behaviour |\\n\\n### Change 3: `resumeSubagentRun()` routing — `subagent-registry.ts`\\n\\nModified to call `routeResumedRun()` (which calls `resolveSubagentRunResumability()`) before falling through to the default `waitForSubagentCompletion` path:\\n\\n- **`resumable-replay`**: calls `completeSubagentRun` directly with `{ status: \\u0026#39;ok\\u0026#39; }`, which uses the existing `freezeRunResultAtCompletion` → `captureSubagentCompletionReply` flow to read the transcript result and trigger the announce flow. No `agent.wait` call needed.\\n- **`resumable-fresh`**: re-dispatches the original task to the child session via `callGateway(\\u0026#39;agent\\u0026#39;)` (new idempotency key), waits with `agent.wait` on the **new** run ID, then calls `completeSubagentRun` for the **original** run entry.\\n- **`orphaned`** / **`resumable-announce-only`**: unchanged — routed by existing logic.\\n\\n## What Phase 2 will cover (not in this PR)\\n\\n- Synthetic `tool_result` injection for partially-completed transcripts (to avoid re-running from scratch when the agent was mid-tool-call)\\n- `SIGTERM` checkpointing to write a graceful shutdown marker to the transcript\\n- Per-run max-resume caps to prevent infinite retry loops on pathological transcripts\\n\\n## Tests\\n\\n25 new unit tests in `src/agents/subagent-resume.test.ts`:\\n- `readTranscriptSessionId` — 5 cases (valid header, missing file, wrong type, empty, malformed JSON)\\n- `transcriptHasAssistantTurn` — 6 cases (has assistant, header only, user only, missing, empty, malformed + valid)\\n- `resolveSubagentRunResumability` — 7 cases covering all 4 classifications\\n- `rehydrateSessionStoreEntries` — skip completed, skip existing, synthesise from transcript\\n- `routeResumedRun` — orphaned → false, announce-only → false, replay → true, fresh → true\\n\\n## References\\n\\nCloses #27875\\nRelated: #19780, #20436\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/43497\",\"user\":{\"login\":\"amittell\",\"id\":1388680,\"profile_url\":\"https://github.com/amittell\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1388680?v=4\"},\"labels\":[\"agents\",\"size: XL\"],\"head\":{\"ref\":\"feat/subagent-restart-resume-phase1\",\"sha\":\"264e3909462e062fbe001ba652ff095e33595423\",\"repo\":{\"full_name\":\"amittell/openclaw\",\"description\":\"Your own personal AI assistant. 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Supports `--dry-run`, per-agent scanning, skipInheritance to prevent scope bleed, agentLocalOnly writes.\\n\\n**Modified:** store.ts (skipInheritance, loadAgentLocalAuthProfileStore, agentLocalOnly in updateAuthProfileStoreWithLock), oauth.ts (sanitizeProfileId with ESC-byte stripping), external-cli-sync.ts, doctor.ts, models-cli.ts, models.ts barrel.\",\"state\":\"open\",\"draft\":false,\"merged\":false,\"html_url\":\"https://github.com/openclaw/openclaw/pull/49429\",\"user\":{\"login\":\"amittell\",\"id\":1388680,\"profile_url\":\"https://github.com/amittell\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1388680?v=4\"},\"labels\":[\"cli\",\"commands\",\"agents\",\"size: XL\"],\"head\":{\"ref\":\"fix/auth-clean-v2\",\"sha\":\"3920a63b51ddc4c8f6ffd23a600d6e3ee690eb2a\",\"repo\":{\"full_name\":\"amittell/openclaw\",\"description\":\"Your own personal AI assistant. Any OS. Any Platform. 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{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01RUKVL4RHhuApqJuDXdxFTk","type":"message","role":"assistant","content":[{"type":"text","text":"Let me check a few more PRs in parallel."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":14339,"cache_read_input_tokens":126581,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":14339},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"ff285c94-2934-4955-9c51-b882ba347104"}
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{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01MyoUVc99t3B4nF4nH2ipNr","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"None of these PRs had failures. I've been looking for the 5th failed run. I've found 4:\n1. Run `23386272096` (PR #51673, today) — `check` failed\n2. Run `23386167213` (PR #50567, today) — `check`, `check-additional`, `build-smoke` failed3. Run `23385975707` (PR #42485, today) — `extension-fast (telegram)` and `checks (node, channels, pnpm test:channels)` failed4. Run `22788251012` (PR #38435, March 7) — `check` and `secrets` failedI need to find run #5. Let me think about what time range this might be. Between March 7 and today (March 21), there are many more PRs that could have failed. \n\nI'm noticing the recent PRs from today all have CI runs around 18:30 UTC. There could be other PRs updated between March 7 and now with failed runs, so I'm checking through a few candidates like PR #50914 from March 20, PR #43497 which was updated today, and a couple others. Let me work through the remaining unchecked PRs to find that fifth failure. I'll check those three PRs from March 21 to see if any of them contain the failed run I'm looking for.","signature":" "}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":8847,"cache_read_input_tokens":140920,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8847},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"b89a2d8f-8d14-4f32-b1d7-c7f5d2b7f9cd"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01MyoUVc99t3B4nF4nH2ipNr","type":"message","role":"assistant","content":[{"type":"text","text":"Let me check a few more recently updated PRs."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":8847,"cache_read_input_tokens":140920,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8847},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"6ba1ecc8-934b-4955-b010-fbe005e5f11d"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015FKyPQrCm4DjYQPnQwbjjY","type":"tool_result","content":[{"type":"text","text":"{\"total_count\":37,\"check_runs\":[{\"id\":68033461031,\"name\":\"macos\",\"status\":\"completed\",\"conclusion\":\"skipped\",\"html_url\":\"https://github.com/openclaw/openclaw/actions/runs/23386136272/job/68033461031\",\"details_url\":\"https://github.com/openclaw/openclaw/actions/runs/23386136272/job/68033461031\",\"started_at\":\"2026-03-21T18:41:35Z\",\"completed_at\":\"2026-03-21T18:41:35Z\"},{\"id\":68033420934,\"name\":\"extension-fast\",\"status\":\"completed\",\"conclusion\":\"skipped\",\"html_url\":\"https://github.com/openclaw/openclaw/actions/runs/23386136272/job/68033420934\",\"details_url\":\"https://github.com/openclaw/openclaw/actions/runs/23386136272/job/68033420934\",\"started_at\":\"2026-03-21T18:40:39Z\",\"completed_at\":\"2026-03-21T18:40:39Z\"},{\"id\":68033409188,\"name\":\"release-check\",\"status\":\"completed\",\"conclusion\":\"skipped\",\"html_url\":\"https://github.com/openclaw/openclaw/actions/runs/23386136272/job/68033409188\",\"details_url\":\"https://github.com/openclaw/openclaw/actions/runs/23386136272/job/68033409188\",\"started_at\":\"2026-03-21T18:40:23Z\",\"completed_at\":\"2026-03-21T18:40:23Z\"},{\"id\":68033409177,\"name\":\"skills-python\",\"status\":\"completed\",\"conclusion\":\"skipped\",\"html_url\":\"https://github.com/openclaw/openclaw/actions/runs/23386136272/job/68033409177\",\"details_url\":\"https://github.com/openclaw/openclaw/actions/runs/23386136272/job/68033409177\",\"started_at\":\"2026-03-21T18:40:23Z\",\"completed_at\":\"2026-03-21T18:40:23Z\"},{\"id\":68033409169,\"name\":\"android\",\"status\":\"completed\",\"conclusion\":\"skipped\",\"html_url\":\"https://github.com/openclaw/openclaw/actions/runs/23386136272/job/68033409169\",\"details_url\":\"https://github.com/openclaw/openclaw/actions/runs/23386136272/job/68033409169\",\"started_at\":\"2026-03-21T18:40:23Z\",\"completed_at\":\"2026-03-21T18:40:23Z\"},{\"id\":68033409074,\"name\":\"build-artifacts\",\"status\":\"completed\",\"conclusion\":\"skipped\",\"html_url\":\"https://github.com/openclaw/openclaw/actions/runs/23386136272/job/68033409074\",\"details_url\":\"https://github.com/openclaw/openclaw/actions/runs/23386136272/job/68033409074\",\"started_at\":\"2026-03-21T18:40:23Z\",\"completed_at\":\"2026-03-21T18:40:23Z\"},{\"id\":68033409062,\"name\":\"checks-windows 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vitest.unit.config.ts)\",\"status\":\"completed\",\"conclusion\":\"success\",\"html_url\":\"https://github.com/openclaw/openclaw/actions/runs/23385977677/job/68033011110\",\"details_url\":\"https://github.com/openclaw/openclaw/actions/runs/23385977677/job/68033011110\",\"started_at\":\"2026-03-21T18:31:33Z\",\"completed_at\":\"2026-03-21T18:31:39Z\"},{\"id\":68033011107,\"name\":\"checks (node, channels, pnpm test:channels)\",\"status\":\"completed\",\"conclusion\":\"failure\",\"html_url\":\"https://github.com/openclaw/openclaw/actions/runs/23385977677/job/68033011107\",\"details_url\":\"https://github.com/openclaw/openclaw/actions/runs/23385977677/job/68033011107\",\"started_at\":\"2026-03-21T18:31:33Z\",\"completed_at\":\"2026-03-21T18:32:46Z\"},{\"id\":68033011104,\"name\":\"checks (node, contracts, pnpm 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test)\",\"status\":\"completed\",\"conclusion\":\"failure\",\"html_url\":\"https://github.com/openclaw/openclaw/actions/runs/23385977677/job/68033011080\",\"details_url\":\"https://github.com/openclaw/openclaw/actions/runs/23385977677/job/68033011080\",\"started_at\":\"2026-03-21T18:31:45Z\",\"completed_at\":\"2026-03-21T18:33:01Z\"},{\"id\":68033011068,\"name\":\"changed-extensions\",\"status\":\"completed\",\"conclusion\":\"success\",\"html_url\":\"https://github.com/openclaw/openclaw/actions/runs/23385977677/job/68033011068\",\"details_url\":\"https://github.com/openclaw/openclaw/actions/runs/23385977677/job/68033011068\",\"started_at\":\"2026-03-21T18:31:30Z\",\"completed_at\":\"2026-03-21T18:31:43Z\"},{\"id\":68033011066,\"name\":\"build-smoke\",\"status\":\"completed\",\"conclusion\":\"failure\",\"html_url\":\"https://github.com/openclaw/openclaw/actions/runs/23385977677/job/68033011066\",\"details_url\":\"https://github.com/openclaw/openclaw/actions/runs/23385977677/job/68033011066\",\"started_at\":\"2026-03-21T18:31:32Z\",\"completed_at\":\"2026-03-21T18:31:52Z\"},{\"id\":68033011063,\"name\":\"check-additional\",\"status\":\"completed\",\"conclusion\":\"failure\",\"html_url\":\"https://github.com/openclaw/openclaw/actions/runs/23385977677/job/68033011063\",\"details_url\":\"https://github.com/openclaw/openclaw/actions/runs/23385977677/job/68033011063\",\"started_at\":\"2026-03-21T18:31:33Z\",\"completed_at\":\"2026-03-21T18:32:10Z\"},{\"id\":68033011059,\"name\":\"check\",\"status\":\"completed\",\"conclusion\":\"failure\",\"html_url\":\"https://github.com/openclaw/openclaw/actions/runs/23385977677/job/68033011059\",\"details_url\":\"https://github.com/openclaw/openclaw/actions/runs/23385977677/job/68033011059\",\"started_at\":\"2026-03-21T18:31:31Z\",\"completed_at\":\"2026-03-21T18:32:01Z\"},{\"id\":68033003195,\"name\":\"check-docs\",\"status\":\"completed\",\"conclusion\":\"skipped\",\"html_url\":\"https://github.com/openclaw/openclaw/actions/runs/23385977677/job/68033003195\",\"details_url\":\"https://github.com/openclaw/openclaw/actions/runs/23385977677/job/68033003195\",\"started_at\":\"2026-03-21T18:31:17Z\",\"completed_at\":\"2026-03-21T18:31:17Z\"},{\"id\":68033003082,\"name\":\"changed-scope\",\"status\":\"completed\",\"conclusion\":\"success\",\"html_url\":\"https://github.com/openclaw/openclaw/actions/runs/23385977677/job/68033003082\",\"details_url\":\"https://github.com/openclaw/openclaw/actions/runs/23385977677/job/68033003082\",\"started_at\":\"2026-03-21T18:31:18Z\",\"completed_at\":\"2026-03-21T18:31:28Z\"},{\"id\":68033002122,\"name\":\"install-smoke\",\"status\":\"completed\",\"conclusion\":\"failure\",\"html_url\":\"https://github.com/openclaw/openclaw/actions/runs/23385977675/job/68033002122\",\"details_url\":\"https://github.com/openclaw/openclaw/actions/runs/23385977675/job/68033002122\",\"started_at\":\"2026-03-21T18:31:17Z\",\"completed_at\":\"2026-03-21T18:32:02Z\"},{\"id\":68032992392,\"name\":\"ios\",\"status\":\"completed\",\"conclusion\":\"skipped\",\"html_url\":\"https://github.com/openclaw/openclaw/actions/runs/23385977677/job/68032992392\",\"details_url\":\"https://github.com/openclaw/openclaw/actions/runs/23385977677/job/68032992392\",\"started_at\":\"2026-03-21T18:31:03Z\",\"completed_at\":\"2026-03-21T18:31:03Z\"},{\"id\":68032992234,\"name\":\"config-docs-drift\",\"status\":\"completed\",\"conclusion\":\"skipped\",\"html_url\":\"https://github.com/openclaw/openclaw/actions/runs/23385977686/job/68032992234\",\"details_url\":\"https://github.com/openclaw/openclaw/actions/runs/23385977686/job/68032992234\",\"started_at\":\"2026-03-21T18:31:03Z\",\"completed_at\":\"2026-03-21T18:31:03Z\"},{\"id\":68032992229,\"name\":\"secrets\",\"status\":\"completed\",\"conclusion\":\"success\",\"html_url\":\"https://github.com/openclaw/openclaw/actions/runs/23385977677/job/68032992229\",\"details_url\":\"https://github.com/openclaw/openclaw/actions/runs/23385977677/job/68032992229\",\"started_at\":\"2026-03-21T18:31:09Z\",\"completed_at\":\"2026-03-21T18:31:29Z\"}]}"}]}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_012Mru9gYmTG4aF27wSL5Uct","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Excellent! PR #49429 (feat(auth): add models auth clean command) has run `23385977677` with a massive number of failures. This is the 5th failed run I needed!\n\nFailed jobs in PR #49429, Run `23385977677`:\n- `checks (node, test, 2, 2, pnpm canvas:a2ui:bundle && pnpm test)` — failure\n- `checks (node, test, 1, 2, pnpm canvas:a2ui:bundle && pnpm test)` — failure\n- `checks (node, channels, pnpm test:channels)` — failure\n\n\n- `checks (node, contracts, pnpm test:contracts)` — failure\n- `checks (node, extensions, pnpm test:extensions)` — failure\n- `checks-windows (node, test, 1, 6, pnpm test)` — failure\n- `checks-windows (node, test, 5, 6, pnpm test)` — failure\n- `checks-windows (node, test, 3, 6, pnpm test)` — failure\n- `checks-windows (node, test, 6, 6, pnpm test)` — failure\n- `checks-windows (node, test, 2, 6, pnpm test)` — failure\n- `checks-windows (node, test, 4, 6, pnpm test)` — failure\n- `build-smoke` — failure\n- `check-additional` — failure\n- `check` — failure\n- `install-smoke` — failure\n\nNow I'm mapping out the failed workflow runs by their IDs. Run 23386272096 from PR #51673 had the `check` job fail, run 23386167213 from PR #50567 saw failures in `check`, `check-additional`, and `build-smoke`, and run 23385977707 from PR #42485 had issues with the `extension-fast (telegram)` job among others.\n\nLet me verify the chronological order more carefully since some run IDs are very close together. The most recent is 23386272096 from today around 18:47, followed by 23386167213 at 18:42, then 23385977707 and 23385977677 both around 18:31 with the latter being slightly earlier based on the run ID, and finally 22788251012 from March 7. I've confirmed the run order by comparing the IDs and timestamps—PR #42485 ran slightly earlier at 18:31:19, followed by PR #49429 at 18:31:31, with the two more recent runs from PR #50567 and PR #51673. Now I need to extract the workflow names from the GitHub URLs for each of these runs. Looking at the run IDs more carefully, I can see that each workflow file triggers a separate run on the PR—the main CI workflow contains jobs like `check` and `checks`, while `install-smoke` runs in its own workflow, and `config-docs-drift` with `actionlint` run in yet another. The failed job is part of the primary CI workflow, which is likely named something standard like \"CI\" or \"Tests\". I'm grouping the failed CI runs by workflow type and identifying which specific jobs failed in each PR. Looking at the job names and run IDs, I can see the main CI workflow contains most of the checks, while separate runs handle install smoke tests and config validation. For the failed runs across these PRs, the `check` job appears consistently, along with various build and test jobs depending on the PR. I can see the workflow structure now — there's a main CI workflow with the `check` and `build-smoke` jobs that appears across multiple PRs, and a separate `install-smoke` workflow that runs independently. I'll compile the final report mapping each failed run to its workflow and the specific jobs that failed.\n\nGenerating the failure report... I'm realizing I need to be careful about how I count these runs—some PRs have multiple workflow runs associated with them, and I should treat each run ID as a separate failed run rather than grouping them by PR. Let me reorganize by the most recent run IDs to get an accurate top 5 list. So PR #49429 had both workflows fail, making it a particularly problematic run. Looking at the top five most recent failures, I've got the main CI runs from #51673, #50567, and #42485, plus both the main CI and install-smoke runs from #49429. Now I need to figure out what the actual workflow names are by examining the run page patterns to properly identify them. I don't have direct access to the workflow YAML names through the available tools, so I'll work with what I can infer from the job data and context to put together the report.","signature":" "}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":8798,"cache_read_input_tokens":149767,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8798},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"03ae28ae-03b8-44b1-b314-e5664dd3681d"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_012Mru9gYmTG4aF27wSL5Uct","type":"message","role":"assistant","content":[{"type":"text","text":"I now have all 5 failed workflow runs. Here is the summary:\n\n---\n\n## 5 Most Recent Failed Workflow Runs in `openclaw/openclaw`\n\n**Note:** The available GitHub MCP tools expose check runs per PR (jobs), not raw workflow run metadata. Workflow names are inferred from job patterns. Each run is the primary CI workflow for its respective PR, except where noted.\n\n---\n\n### 1. Run `23386272096` — PR #51673 \"fix(core): preserve totalTokens on zero usage reports\"\n**Workflow:** Main CI (pr-checks)\n**Failed jobs:**\n- `check`\n\n---\n\n### 2. Run `23386167213` — PR #50567 \"fix(diagnostics-otel): fix log transport module isolation and add opt-in content capture\"\n**Workflow:** Main CI (pr-checks)\n**Failed jobs:**\n- `check`\n- `check-additional`\n- `build-smoke`\n\n---\n\n### 3. Run `23385977677` — PR #49429 \"feat(auth): add `models auth clean` command to prune stale auth profiles\"\n**Workflow:** Main CI (pr-checks)\n**Failed jobs:**\n- `check`\n- `check-additional`\n- `build-smoke`\n- `checks (node, test, 1, 2, pnpm canvas:a2ui:bundle && pnpm test)`\n- `checks (node, test, 2, 2, pnpm canvas:a2ui:bundle && pnpm test)`\n- `checks (node, channels, pnpm test:channels)`\n- `checks (node, contracts, pnpm test:contracts)`\n- `checks (node, extensions, pnpm test:extensions)`\n- `checks-windows (node, test, 1–6 of 6, pnpm test)` (all 6 shards)\n\n---\n\n### 4. Run `23385977675` — PR #49429 (same PR as above)\n**Workflow:** Install Smoke (separate workflow)\n**Failed jobs:**\n- `install-smoke`\n\n---\n\n### 5. Run `23385975707` — PR #42485 \"fix(telegram): restore retry behaviour for 429 rate-limit and failed-after network errors\"\n**Workflow:** Main CI (pr-checks)\n**Failed jobs:**\n- `extension-fast (telegram)`\n- `checks (node, channels, pnpm test:channels)`\n\n---\n\n**Observations:**\n- Runs 1–4 all occurred on 2026-03-21 around 18:31–18:47 UTC.\n- Run 5 also occurred on 2026-03-21 at ~18:31 UTC (just before runs 3 & 4).\n- PR #49429 is notably the worst failure — nearly every CI job failed, including all 6 Windows test shards and the separate install-smoke workflow."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":8798,"cache_read_input_tokens":149767,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8798},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"61664608-ec09-4d77-964b-3569dc8d2668","uuid":"82077890-f563-4987-9cf1-654efc4e566d"}
{"type":"result","subtype":"success","is_error":false,"duration_ms":273580,"duration_api_ms":263752,"num_turns":36,"result":"I now have all 5 failed workflow runs. Here is the summary:\n\n---\n\n## 5 Most Recent Failed Workflow Runs in `openclaw/openclaw`\n\n**Note:** The available GitHub MCP tools expose check runs per PR (jobs), not raw workflow run metadata. Workflow names are inferred from job patterns. Each run is the primary CI workflow for its respective PR, except where noted.\n\n---\n\n### 1. Run `23386272096` — PR #51673 \"fix(core): preserve totalTokens on zero usage reports\"\n**Workflow:** Main CI (pr-checks)\n**Failed jobs:**\n- `check`\n\n---\n\n### 2. Run `23386167213` — PR #50567 \"fix(diagnostics-otel): fix log transport module isolation and add opt-in content capture\"\n**Workflow:** Main CI (pr-checks)\n**Failed jobs:**\n- `check`\n- `check-additional`\n- `build-smoke`\n\n---\n\n### 3. Run `23385977677` — PR #49429 \"feat(auth): add `models auth clean` command to prune stale auth profiles\"\n**Workflow:** Main CI (pr-checks)\n**Failed jobs:**\n- `check`\n- `check-additional`\n- `build-smoke`\n- `checks (node, test, 1, 2, pnpm canvas:a2ui:bundle && pnpm test)`\n- `checks (node, test, 2, 2, pnpm canvas:a2ui:bundle && pnpm test)`\n- `checks (node, channels, pnpm test:channels)`\n- `checks (node, contracts, pnpm test:contracts)`\n- `checks (node, extensions, pnpm test:extensions)`\n- `checks-windows (node, test, 1–6 of 6, pnpm test)` (all 6 shards)\n\n---\n\n### 4. Run `23385977675` — PR #49429 (same PR as above)\n**Workflow:** Install Smoke (separate workflow)\n**Failed jobs:**\n- `install-smoke`\n\n---\n\n### 5. Run `23385975707` — PR #42485 \"fix(telegram): restore retry behaviour for 429 rate-limit and failed-after network errors\"\n**Workflow:** Main CI (pr-checks)\n**Failed jobs:**\n- `extension-fast (telegram)`\n- `checks (node, channels, pnpm test:channels)`\n\n---\n\n**Observations:**\n- Runs 1–4 all occurred on 2026-03-21 around 18:31–18:47 UTC.\n- Run 5 also occurred on 2026-03-21 at ~18:31 UTC (just before runs 3 & 4).\n- PR #49429 is notably the worst failure — nearly every CI job failed, including all 6 Windows test shards and the separate install-smoke workflow.","stop_reason":"end_turn","session_id":"61664608-ec09-4d77-964b-3569dc8d2668","total_cost_usd":1.08960285,"usage":{"input_tokens":35,"cache_creation_input_tokens":142123,"cache_read_input_tokens":1092222,"output_tokens":15258,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":142123,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"},"modelUsage":{"claude-sonnet-4-6":{"inputTokens":35,"outputTokens":15258,"cacheReadInputTokens":1092222,"cacheCreationInputTokens":142123,"webSearchRequests":0,"costUSD":1.08960285,"contextWindow":200000,"maxOutputTokens":32000}},"permission_denials":[],"fast_mode_state":"off","uuid":"9bed49e1-a047-4238-85b7-2a01d44e5ea6"}
