TPTBusiness 3ab0d236cf feat(logging): write complete LLM prompts and responses to daily JSONL log ...

Add log_llm_call() to daily_log.py that appends every LLM interaction
(system prompt, user prompt, response, duration_ms) as a JSON object to
logs/YYYY-MM-DD/llm_calls.jsonl. Call it from both chat completion paths
in base.py so all LLM activity — factor generation, strategy generation,
feedback, proposals — is captured in a human-readable, grep/jq-friendly
format alongside the existing binary pickle logs.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-04-17 21:46:28 +02:00

..

daily_log.py

feat(logging): write complete LLM prompts and responses to daily JSONL log

2026-04-17 21:46:28 +02:00

logger.py

fix: Display litellm messages as info instead of warnings

2026-04-06 19:45:04 +02:00