ahmet c471db80e1 feat(cli): add three-tier LLM provider setup with dynamic Ollama model listing ... - Add quick/mid/deep thinking tiers, each with independent provider selection - Fetch available Ollama models dynamically via /api/tags instead of hardcoded list - Add mid-thinking agent selection (select_mid_thinking_agent) - Support provider-specific thinking config (Gemini thinking level, OpenAI reasoning effort) - Update default_config and trading_graph to wire three-tier LLM setup Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>		2026-03-13 13:20:50 +01:00
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agents	fix(risk_manager): 修复基本面报告数据源错误	2026-02-09 18:21:21 +08:00
dataflows	refactor: clean up codebase and streamline documentation	2026-02-03 22:27:20 +00:00
graph	feat(cli): add three-tier LLM provider setup with dynamic Ollama model listing	2026-03-13 13:20:50 +01:00
llm_clients	chore: clean up dependencies and fix Ollama auth	2026-02-03 23:08:12 +00:00
default_config.py	feat(cli): add three-tier LLM provider setup with dynamic Ollama model listing	2026-03-13 13:20:50 +01:00