{
  "entry_points": [
    "app/main.py",
    "/v1/chat/completions"
  ],
  "data_flow": [
    "Data enters through the /v1/chat/completions endpoint in app/proxy.py.",
    "The request is then forwarded to the upstream llama.cpp for processing.",
    "After processing, the results are sent back to app/proxy.py.",
    "Metadata is recorded, and the run along with the llm_request is inserted into SQLite via app/store.py.",
    "app/reports.py aggregates dashboard and report statistics from SQLite for generating reports."
  ],
  "risks": [
    "app/proxy.py: Potential risk if the forwarding to upstream llama.cpp fails, leading to unprocessed requests or errors.",
    "app/store.py: Risk of data loss or corruption if SQLite operations are not handled correctly.",
    "app/redaction.py: Risk of incomplete or incorrect secret removal, which could lead to exposure of sensitive information in previews."
  ]
}