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Portfolio context (portfolio_context.py): - get_open_trades_with_moves(): fetches open trades + 1d/5d yfinance price moves - get_portfolio_concentration(): counts by asset_class - build_portfolio_context_block(): formatted prompt block with strict AI instructions (no double positions, flag contradictions, avoid overweight classes) AI call logging: - ai_call_logs table in DB (run_id, call_type, system/user prompt, response, tokens, ms) - _chat() now accepts log_meta dict → saves call to DB non-blocking after each call - suggest and score_batch calls pass run_id + call_type for full traceability auto_cycle.py: - Builds portfolio context before snapshot and both AI calls - Context snapshot now includes portfolio_open_positions key SystemLogs.tsx: - "Contexte IA" tab gains sub-tabs: Contexte / Appels IA - AiCallRow: expandable with 3 panes (user prompt / system prompt / response) shows model, tokens breakdown, duration, call type badge Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>