5 Commits

Author	SHA1	Message	Date
CadeYu	8793336dad	sync model validation with cli catalog	2026-03-25 21:23:02 +08:00
Yijia-Xiao	551fd7f074	chore: update model lists, bump to v0.2.1, fix package build ... - OpenAI: add GPT-5.4, GPT-5.4 Pro; remove o-series and legacy GPT-4o - Anthropic: add Claude Opus 4.6, Sonnet 4.6; remove legacy 4.1/4.0/3.x - Google: add Gemini 3.1 Pro, 3.1 Flash Lite; remove deprecated gemini-3-pro-preview and Gemini 2.0 series - xAI: clean up model list to match current API - Simplify UnifiedChatOpenAI GPT-5 temperature handling - Add missing tradingagents/__init__.py (fixes pip install building)	2026-03-15 23:34:50 +00:00
Yijia Xiao	54cdb146d0	feat: add footer statistics tracking with LangChain callbacks ... - Add StatsCallbackHandler for tracking LLM calls, tool calls, and tokens - Integrate callbacks into TradingAgentsGraph and all LLM clients - Dynamic agent/report counts based on selected analysts - Fix report completion counting (tied to agent completion)	2026-02-03 22:27:20 +00:00
Yijia Xiao	d4dadb82fc	feat: add multi-provider LLM support with thinking configurations ... Models added: - OpenAI: GPT-5.2, GPT-5.1, GPT-5, GPT-5 Mini, GPT-5 Nano, GPT-4.1 - Anthropic: Claude Opus 4.5/4.1, Claude Sonnet 4.5/4, Claude Haiku 4.5 - Google: Gemini 3 Pro/Flash, Gemini 2.5 Flash/Flash Lite - xAI: Grok 4, Grok 4.1 Fast (Reasoning/Non-Reasoning) Configs updated: - Add unified thinking_level for Gemini (maps to thinking_level for Gemini 3, thinking_budget for Gemini 2.5; handles Pro's lack of "minimal" support) - Add OpenAI reasoning_effort configuration - Add NormalizedChatGoogleGenerativeAI for consistent response handling Fixes: - Fix Bull/Bear researcher display truncation - Replace ChromaDB with BM25 for memory retrieval	2026-02-03 22:27:20 +00:00
Yijia Xiao	79051580b8	feat: add multi-provider LLM support with factory pattern ... - Add tradingagents/llm_clients/ with unified factory pattern - Support OpenAI, Anthropic, Google, xAI, OpenRouter, Ollama, vLLM - Replace direct LLM imports in trading_graph.py with create_llm_client() - Handle provider-specific params (reasoning_effort, thinking_config)	2026-02-03 22:27:20 +00:00