63 lines
2.2 KiB
Markdown
63 lines
2.2 KiB
Markdown
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# Agent Notes 2026-02-22
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Use this file as the primary handoff for the next agent.
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## Commits made
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- `33103b5` Add migration planning tools and step899-908 test suite
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- `f4f9605` Ignore local logs, training data, and build/runtime artifacts
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## Main focus this session
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- Improved MCP/Ollama taskitem bridge logging and dataset tooling.
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- Added native Ollama tool mode prototype (`OLLAMA_INTERFACE_MODE=native_tools`).
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- Added anti-loop / escalation logic and improved execution-stage capture.
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- Added batch graceful stop + preflight + executor timeout controls.
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## Files added/changed (core)
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- `tools/mcp/ollama_mcp_taskitem_executor.sh`
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- `tools/mcp/run_slm_training_batch.sh`
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- `tools/mcp/validate_slm_runtime.sh`
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- `tools/mcp/export_mcp_call_quality_for_lora.sh`
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- `tools/mcp/export_malformed_mcp_calls_for_lora.sh`
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- `tools/mcp/build_multimodel_lora_dataset.sh`
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- `tools/mcp/reclassify_tool_execution_quality.sh`
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- `docs/mcp_logging_data_strategy.md`
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- `docs/multimodel_lora_data_playbook.md`
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- `training_data/lora/README.md`
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## Run status at handoff
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- Last batch stopped gracefully by stop-file:
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- `logs/taskitem_runs/batches/slm_batch_20260222_191303.jsonl`
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- Observed mixed behavior:
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- Some rounds produced valid tokens + execution events.
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- Some rounds timed out (`exit_code=124`, empty `run_dir`).
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## Known issue to fix first
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- Batch mode still intermittently stalls/produces nested executor hangs.
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- Priority: stabilize orchestration before long unattended runs.
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## Environment note (critical)
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Ollama daemon must be started from host shell with local model store:
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```bash
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export OLLAMA_MODELS=/home/bill/.ollama/models
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export OLLAMA_HOST=127.0.0.1:11434
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nohup ollama serve > /tmp/ollama_serve.log 2>&1 &
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```
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Validate:
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```bash
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curl -s http://127.0.0.1:11434/api/tags | jq '.models[].name'
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```
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## Recommended next command sequence
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```bash
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cd /home/bill/Documents/CLionProjects/whetstone_DSL
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./tools/mcp/validate_slm_runtime.sh
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RUN_PREFLIGHT=0 REPEATS=2 MAX_TURNS=3 EXECUTOR_TIMEOUT_SECONDS=180 \
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CURL_TIMEOUT_SECONDS=25 MCP_TIMEOUT_SECONDS=15 JOB_SPECS='126:0' \
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./tools/mcp/run_slm_training_batch.sh
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```
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Then inspect if each round gets non-empty `run_dir` and nonzero tokens before scaling repeats.
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