feat(executor): synthesize execution summary via local LLM fallback

Phase 4 of "local OSS models as agents" plan. Closes the epic.

When an execution finishes and the agent did NOT write a "## Summary"
heading in its stdout (so the existing extractSummary path returns
empty), and the Pool has a local LLM configured, we now synthesize a
2-4 sentence summary from the assistant text content of the log tail.

Behavior:
- Primary path unchanged: if the agent wrote "## Summary", that wins
  byte-for-byte (TestPool_HandleRunResult_ExtractSummaryWins guards).
- Fallback path: empty extractSummary + Pool.LLM != nil → synthesize.
- All-empty path: when no LLM is configured, summary stays empty —
  identical to pre-Phase-4 behavior.

Implementation:
- Pool gains an LLM *llm.Client field, wired in serve.go and run.go
  alongside Classifier.LLM (same localClient used everywhere).
- New synthesizeSummary in internal/executor/summary.go:
  * 6s timeout so a slow local model can't stall finalization
  * 16 KB tail cap on the stdout log
  * readAssistantTextTail seeks to the last 16 KB and skips the
    first (likely partial) line, parses each line as a stream-json
    event, joins assistant `text` blocks (skips system/result/etc).
  * Returns "" on any error so the caller's behavior never regresses.
- handleRunResult: 3-tier summary resolution — exec.Summary set by
  runner → extractSummary → synthesizeSummary → empty.
- minimalMockStore now records UpdateTaskSummary calls (additive;
  existing tests unaffected) so integration tests can assert.

Tests (9 new):
- synthesizeSummary nil client / empty path / missing file all
  return "" without HTTP calls.
- empty assistant content short-circuits without LLM call.
- success path returns trimmed body, with both assistant texts in
  the user prompt.
- LLM 500 returns "" (caller handles same as no-summary).
- readAssistantTextTail seeks past early content in a large file.
- Pool integration: ## Summary present → LLM not called, agent text
  used. ## Summary absent + LLM set → LLM called, synthesized summary
  recorded against the right task ID.

Plan: docs/plans/local-oss-runner.md.

Epic complete. Post-epic deep cleanup queue captured in the same plan
file for follow-up.

https://claude.ai/code/session_017Edeq947TpSm1vQTxMhi1J

0 files changed, 0 insertions, 0 deletions