Piotr Oleszczyk
c87d1b8581
- Add tiered context system (summary/detailed/full) to reduce token usage by 70-80% - Replace old _build_products_context with build_products_context_summary_list (Tier 1: ~15 tokens/product vs 150) - Optimize function tool responses: exclude INCI list by default (saves ~15KB/product) - Reduce actives from 24 to top 5 in function tools - Add reasoning_chain field to AICallLog model for observability - Implement _extract_thinking_content to capture LLM reasoning (MEDIUM thinking level) - Strengthen prompt enforcement for prohibited fields (dose, amount, quantity) - Update get_creative_config to use MEDIUM thinking level instead of LOW Token Savings: - Routine suggestions: 9,613 → ~1,300 tokens (-86%) - Batch planning: 12,580 → ~1,800 tokens (-86%) - Function tool responses: ~15KB → ~2KB per product (-87%) Breaks discovered in log analysis (ai_call_log.json): - Lines 10, 27, 61, 78: LLM returned prohibited dose field - Line 85: MAX_TOKENS failure (output truncated) Phase 2 complete. Next: two-phase batch planning with safety verification. |
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| .. | ||
| versions | ||
| env.py | ||
| README | ||
| script.py.mako | ||
Generic single-database configuration.