claudomator — task automation server https://git.terst.org/claudomator.git/atom?h=main 2026-05-02T07:54:51+00:00 2026-05-02T07:54:51+00:00 Claude noreply@anthropic.com 2026-05-02T07:54:51+00:00 urn:sha1:6c5762848f4f3114a6ece9ce0bc70a84fca040ce Phase 3 of "local OSS models as agents" plan. When the webhook handler creates a task for a failed CI run AND a local LLM is configured on the server, the hardcoded 4-step investigation template is replaced with a project-aware investigation plan generated by the LLM. Scope adjustment from the original sketch: the original plan said "summarize fetched workflow logs", but fetching logs requires GitHub API auth that isn't wired. Narrowed to project-context triage — recent git log + CLAUDE.md content + webhook metadata, fed to the LLM with a system prompt asking for 6-12 lines of concrete next steps. Deferred GitHub log fetching to post-epic cleanup. Implementation: - New internal/api/webhook_llm.go holds enrichCIInstructions and its helpers (readRecentCommits via `git log`, readProjectDoc). - enrichCIInstructions is truly additive: any failure mode (no client, HTTP error, empty body, 10s timeout) returns the original fallback template unchanged. Existing webhook tests pass byte-for-byte. - Always preserves a metadata header (repo/branch/SHA/check/URL) ahead of the LLM body so investigators don't lose context if the LLM is terse. - Reuses s.llm (set via Server.SetLLM in Phase 2) — no new config knob, no per-feature gating. Asymmetric opt-out (yes-elaborate, no-CI-triage) deferred until there's actual demand. Tests: - enrichCIInstructions: nil client, LLM 500, empty body all return fallback unchanged. - enrichCIInstructions: success path produces enriched body with metadata header preserved; user prompt contains repo/branch/SHA. - enrichCIInstructions: real git repo (init + 2 commits) → recent commits appear in user prompt. - Webhook handler regression guard: no-LLM path produces the exact legacy template substrings. - Webhook handler with LLM stubbed: task instructions contain LLM body + metadata header. Plan: docs/plans/local-oss-runner.md. https://claude.ai/code/session_017Edeq947TpSm1vQTxMhi1J