# Todo 29: Rich Audit Log

## Status

done

## Goal

Make the debug console audit trail useful for real LLM debugging. A user should be able to see which model parameters and prompts/messages were sent, what text/events/results came back, and what usage was reported.

## Scope

- Add ChatAgent request audit details: agent, turn/round, model params, messages, and tools.
- Add ChatAgent response audit details: text content, event names, and usage.
- Add EventAgent request audit details: agent params, requested events, history, system prompt, extra body, and tool schemas.
- Add EventAgent response audit details: tool reply messages.
- Keep API keys and Authorization headers out of audit output.

## Verification

- Runtime tests assert audit payloads contain model params, prompt/messages, event/tool result data, and usage.
- Existing audit/log tests still pass with the richer event stream.
- `uv run pytest tests/test_debug_runtime.py -q` passes: 17 tests.
- `uv run pytest` passes: 57 tests.