agent_trace.json

{
  "project": "Tiny Dispatch Coach",
  "model": {
    "repo": "openbmb/MiniCPM5-1B-GGUF",
    "file": "MiniCPM5-1B-Q4_K_M.gguf",
    "parameters": "1.08B",
    "runtime": "llama.cpp via llama-cpp-python"
  },
  "trace": [
    {
      "step": "parse_dispatch_notes",
      "input": "Start at 8:00. School and clinic stops are urgent. Fresh produce should be delivered before lunch. Van capacity 18.",
      "expected_json": {
        "prefer_early_priority": true,
        "avoid_late_penalty": 2.0,
        "max_route_load": 18,
        "depot_start": 480,
        "soft_due_before": 720,
        "boost_terms": ["school", "fresh"]
      }
    },
    {
      "step": "deterministic_planner",
      "policy": "Minimize late minutes first, then late stops, then distance. Split into capacity-safe trips when needed."
    },
    {
      "step": "explain_results",
      "policy": "Show route cards, time windows, waiting time, lateness, and manual-baseline deltas."
    }
  ],
  "privacy": "Synthetic sample data only. No API keys, personal email, customer records, or company data are stored in this artifact."
}