session-001-handoff.md #1

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Session 001 Handoff

Date: 2026-04-30
Agent: Claude Code CLI (claude-sonnet-4-6)
Session type: Project kick-off — first CLI agent session
Preceding context: One prior web-interface session produced ai/p4-rca-agent-briefing.md


What Was Accomplished

CL 32635 — Submitted briefing document

  • Added //p4mona/dev/ai/p4-rca-agent-briefing.md#1
  • This was the output of the prior web agent session; submitted at the start of this session

CL 32636 — Scaffolded p4-rca-agent repository (34 files)

Full directory tree created under //p4mona/dev/p4-rca-agent/:

Data models (complete): p4rca/models.py

  • LockEvent, MonitorEntry, MonitorSnapshot, CandidateIncident, RCAResult
  • DetectorType, LockType, ActionTier enums
  • Python dataclasses, stdlib only, no external deps

Layer stubs (interfaces defined, logic not yet implemented):

  • p4rca/tailer.py — P4LOG tailing via log2sql subprocess
  • p4rca/collector.py — p4 monitor/lsof/lslocks snapshots
  • p4rca/detector.py — WedgeDetector, SlowCommandDetector, ConnectionSpikeDetector
  • p4rca/context_builder.py — context bundle assembly
  • p4rca/rag.py — RAG retrieval (Phase 3)
  • p4rca/agent.py — Ollama SLM invocation (Phase 2)
  • p4rca/actions.py — governed corrective action execution
  • p4rca/audit.py — structured audit log writer (skeleton with _append implemented)

Test fixtures (synthetic, minimal — need expansion):

  • tests/fixtures/wedge_scenario.log
  • tests/fixtures/slow_submit.log
  • tests/fixtures/normal_operation.log
  • tests/fixtures/checkpoint_under_load.log

Supporting files: README.md, requirements.txt, config/p4rca.yaml.example,
docs/ (architecture, log-format-reference, known-patterns, safety-policy),
scripts/ (install.sh, p4rca-monitor.sh, setup-ollama.sh),
systemd/p4rca-monitor.service, eval/ (annotator.py, eval_runner.py), .p4ignore

Also in this CL: ai/CLAUDE.md (moved from workspace root; symlink left at root
so Claude Code auto-loading continues to work)


Current State

  • Briefing tasks 1–3 complete (read briefing, scaffold, data models)
  • No implementation code yet — all layer files contain stubs with raise NotImplementedError
  • audit.py has the _append helper implemented (lowest-risk, no external deps)
  • All Python files pass py_compile; all shell scripts pass bash -n
  • Tests all exist but skip (pytest.skip("Not yet implemented"))

Next Steps (Priority Order per §10 of Briefing)

  1. Implement audit.py fully — complete record_incident, record_rca, record_action. This is the safety net and has no external dependencies. Implement and test before anything else.

  2. Implement detector.py — WedgeDetector first. Use synthetic fixtures in tests/fixtures/. This is the highest-leverage, most testable piece. Flesh out the fixture files with realistic P4LOG lock tracking records (see go-libp4dlog p4dlog_test.go for field format).

  3. Implement collector.py — p4 monitor show -ale, lsof, lslocks. Handle permission errors gracefully.

  4. Implement tailer.py — shell out to log2sql --json (go-libp4dlog binary); do NOT write a Python P4LOG parser.

  5. Wire Phase 1 end-to-end — CLI harness that runs tailer + collector + detector loop and prints CandidateIncident events to stdout.

  6. Do not begin Phase 2 (SLM) until Phase 1 is fully tested.


Open Questions (from §11 of Briefing — Unresolved)

These need domain expert input from Tom before finalizing:

  • Target p4d version range?
  • Minimum hardware spec for deployment servers? (governs SLM size)
  • Integrate with existing p4prometheus/Grafana, or fully standalone?
  • Any corrective actions pre-authorized for autonomous execution at any tier?
  • Data handling policy for log content in RAG / fine-tuning datasets?
  • SDP-aware auto-detection of paths, or require explicit config?

P4 Workflow Notes (Learned This Session)

  • Use p4 add -I (not -f) to add files that are blocked by P4IGNORE
  • The #review tag in CL descriptions must be on its own tab-indented line to trigger a code review — putting it on the same line as other text does not work
  • Small, focused CLs are preferred; CL numbers are infinite, no need to conserve them
  • The parent .p4ignore at /Users/ttyler/pub/ai/ contains CLAUDE*.md — use -I if you ever need to add a CLAUDE.md variant
  • ai/CLAUDE.md is versioned in P4; a symlink at the workspace root (CLAUDE.md -> ai/CLAUDE.md) enables Claude Code auto-loading

End of session 001 handoff.

# Session 001 Handoff

**Date:** 2026-04-30  
**Agent:** Claude Code CLI (claude-sonnet-4-6)  
**Session type:** Project kick-off — first CLI agent session  
**Preceding context:** One prior web-interface session produced `ai/p4-rca-agent-briefing.md`

---

## What Was Accomplished

### CL 32635 — Submitted briefing document
- Added `//p4mona/dev/ai/p4-rca-agent-briefing.md#1`
- This was the output of the prior web agent session; submitted at the start of this session

### CL 32636 — Scaffolded p4-rca-agent repository (34 files)
Full directory tree created under `//p4mona/dev/p4-rca-agent/`:

**Data models (complete):** `p4rca/models.py`  
- `LockEvent`, `MonitorEntry`, `MonitorSnapshot`, `CandidateIncident`, `RCAResult`  
- `DetectorType`, `LockType`, `ActionTier` enums  
- Python dataclasses, stdlib only, no external deps  

**Layer stubs (interfaces defined, logic not yet implemented):**  
- `p4rca/tailer.py` — P4LOG tailing via log2sql subprocess  
- `p4rca/collector.py` — p4 monitor/lsof/lslocks snapshots  
- `p4rca/detector.py` — WedgeDetector, SlowCommandDetector, ConnectionSpikeDetector  
- `p4rca/context_builder.py` — context bundle assembly  
- `p4rca/rag.py` — RAG retrieval (Phase 3)  
- `p4rca/agent.py` — Ollama SLM invocation (Phase 2)  
- `p4rca/actions.py` — governed corrective action execution  
- `p4rca/audit.py` — structured audit log writer (skeleton with `_append` implemented)  

**Test fixtures (synthetic, minimal — need expansion):**  
- `tests/fixtures/wedge_scenario.log`  
- `tests/fixtures/slow_submit.log`  
- `tests/fixtures/normal_operation.log`  
- `tests/fixtures/checkpoint_under_load.log`  

**Supporting files:** README.md, requirements.txt, config/p4rca.yaml.example,  
docs/ (architecture, log-format-reference, known-patterns, safety-policy),  
scripts/ (install.sh, p4rca-monitor.sh, setup-ollama.sh),  
systemd/p4rca-monitor.service, eval/ (annotator.py, eval_runner.py), .p4ignore  

**Also in this CL:** `ai/CLAUDE.md` (moved from workspace root; symlink left at root  
so Claude Code auto-loading continues to work)

---

## Current State

- Briefing tasks 1–3 complete (read briefing, scaffold, data models)
- No implementation code yet — all layer files contain stubs with `raise NotImplementedError`
- `audit.py` has the `_append` helper implemented (lowest-risk, no external deps)
- All Python files pass `py_compile`; all shell scripts pass `bash -n`
- Tests all exist but skip (`pytest.skip("Not yet implemented")`)

---

## Next Steps (Priority Order per §10 of Briefing)

1. **Implement `audit.py`** fully — complete `record_incident`, `record_rca`, `record_action`. This is the safety net and has no external dependencies. Implement and test before anything else.

2. **Implement `detector.py`** — `WedgeDetector` first. Use synthetic fixtures in `tests/fixtures/`. This is the highest-leverage, most testable piece. Flesh out the fixture files with realistic P4LOG lock tracking records (see go-libp4dlog `p4dlog_test.go` for field format).

3. **Implement `collector.py`** — `p4 monitor show -ale`, `lsof`, `lslocks`. Handle permission errors gracefully.

4. **Implement `tailer.py`** — shell out to `log2sql --json` (go-libp4dlog binary); do NOT write a Python P4LOG parser.

5. **Wire Phase 1 end-to-end** — CLI harness that runs tailer + collector + detector loop and prints `CandidateIncident` events to stdout.

6. Do not begin Phase 2 (SLM) until Phase 1 is fully tested.

---

## Open Questions (from §11 of Briefing — Unresolved)

These need domain expert input from Tom before finalizing:

- Target p4d version range?
- Minimum hardware spec for deployment servers? (governs SLM size)
- Integrate with existing p4prometheus/Grafana, or fully standalone?
- Any corrective actions pre-authorized for autonomous execution at any tier?
- Data handling policy for log content in RAG / fine-tuning datasets?
- SDP-aware auto-detection of paths, or require explicit config?

---

## P4 Workflow Notes (Learned This Session)

- Use `p4 add -I` (not `-f`) to add files that are blocked by P4IGNORE
- The `#review` tag in CL descriptions **must be on its own tab-indented line** to trigger a code review — putting it on the same line as other text does not work
- Small, focused CLs are preferred; CL numbers are infinite, no need to conserve them
- The parent `.p4ignore` at `/Users/ttyler/pub/ai/` contains `CLAUDE*.md` — use `-I` if you ever need to add a CLAUDE.md variant
- `ai/CLAUDE.md` is versioned in P4; a symlink at the workspace root (`CLAUDE.md -> ai/CLAUDE.md`) enables Claude Code auto-loading

---

*End of session 001 handoff.*
# Change User Description Committed
#1 32638 bot_Claude_Anthropic Update CLAUDE.md: remove kickoff refs, add P4 workflow notes, point to session log.
Add session-001-handoff.md.
#review-32639 @robert_cowham @tom_tyler