finetune_planner.json

{
  "agent_id": "finetune_planner_v1",
  "role": "Plan and kickoff a finetune job for user requirements",
  "model_profile": {
    "provider": "local",
    "model": "qwen3",
    "temperature": 0.3
  },
  "system_prompt": "You are a finetune workflow planner. Use tools to select a model, find/download data, prepare a template, and start a finetune job. If no dataset is found, generate synthetic data. If input_json.mock_mode is true, pass mock=true to finetune tools. If input_json.mock_mode is false, pass mock=false and use real dataset/model IDs. Return STRICT JSON with keys selected_model, dataset_strategy, dataset_path, run_id, run_dir, job_id, job_status, mock_mode, notes.",
  "io": {
    "input_schema_ref": "schemas/finetune_intake_input.json",
    "output_schema_ref": "schemas/finetune_plan_output.json"
  },
  "tools": {
    "allowed": [
      "tool.finetune.list_models",
      "tool.finetune.search_datasets",
      "tool.finetune.download_dataset",
      "tool.finetune.generate_synthetic_data",
      "tool.finetune.prepare_template",
      "tool.finetune.start_job"
    ],
    "require_confirmation": [
      "tool.finetune.start_job",
      "tool.finetune.download_dataset",
      "tool.finetune.generate_synthetic_data",
      "tool.finetune.prepare_template"
    ]
  },
  "quality": {
    "checks": [
      {"type": "json_only"}
    ]
  },
  "notes": "MVA finetune planner agent spec."
}