# Agent Notes 2026-02-22

Use this file as the primary handoff for the next agent.

## Commits made
- `33103b5` Add migration planning tools and step899-908 test suite
- `f4f9605` Ignore local logs, training data, and build/runtime artifacts

## Main focus this session
- Improved MCP/Ollama taskitem bridge logging and dataset tooling.
- Added native Ollama tool mode prototype (`OLLAMA_INTERFACE_MODE=native_tools`).
- Added anti-loop / escalation logic and improved execution-stage capture.
- Added batch graceful stop + preflight + executor timeout controls.

## Files added/changed (core)
- `tools/mcp/ollama_mcp_taskitem_executor.sh`
- `tools/mcp/run_slm_training_batch.sh`
- `tools/mcp/validate_slm_runtime.sh`
- `tools/mcp/export_mcp_call_quality_for_lora.sh`
- `tools/mcp/export_malformed_mcp_calls_for_lora.sh`
- `tools/mcp/build_multimodel_lora_dataset.sh`
- `tools/mcp/reclassify_tool_execution_quality.sh`
- `docs/mcp_logging_data_strategy.md`
- `docs/multimodel_lora_data_playbook.md`
- `training_data/lora/README.md`

## Run status at handoff
- Last batch stopped gracefully by stop-file:
  - `logs/taskitem_runs/batches/slm_batch_20260222_191303.jsonl`
- Observed mixed behavior:
  - Some rounds produced valid tokens + execution events.
  - Some rounds timed out (`exit_code=124`, empty `run_dir`).

## Known issue to fix first
- Batch mode still intermittently stalls/produces nested executor hangs.
- Priority: stabilize orchestration before long unattended runs.

## Environment note (critical)
Ollama daemon must be started from host shell with local model store:

```bash
export OLLAMA_MODELS=/home/bill/.ollama/models
export OLLAMA_HOST=127.0.0.1:11434
nohup ollama serve > /tmp/ollama_serve.log 2>&1 &
```

Validate:

```bash
curl -s http://127.0.0.1:11434/api/tags | jq '.models[].name'
```

## Recommended next command sequence
```bash
cd /home/bill/Documents/CLionProjects/whetstone_DSL
./tools/mcp/validate_slm_runtime.sh
RUN_PREFLIGHT=0 REPEATS=2 MAX_TURNS=3 EXECUTOR_TIMEOUT_SECONDS=180 \
  CURL_TIMEOUT_SECONDS=25 MCP_TIMEOUT_SECONDS=15 JOB_SPECS='126:0' \
  ./tools/mcp/run_slm_training_batch.sh
```

Then inspect if each round gets non-empty `run_dir` and nonzero tokens before scaling repeats.