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feat: add multi-provider LLM support with thinking configurations

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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
This commit is contained in:
Yijia Xiao
2026-01-26 16:48:28 +00:00
parent 79051580b8
commit d4dadb82fc
17 changed files with 639 additions and 958 deletions
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tradingagents/dataflows/config.py
+2 -5
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@@ -3,24 +3,21 @@ from typing import Dict, Optional
# Use default config but allow it to be overridden
_config: Optional[Dict] = None
DATA_DIR: Optional[str] = None
def initialize_config():
"""Initialize the configuration with default values."""
global _config, DATA_DIR
global _config
if _config is None:
_config = default_config.DEFAULT_CONFIG.copy()
DATA_DIR = _config["data_dir"]
def set_config(config: Dict):
"""Update the configuration with custom values."""
global _config, DATA_DIR
global _config
if _config is None:
_config = default_config.DEFAULT_CONFIG.copy()
_config.update(config)
DATA_DIR = _config["data_dir"]
def get_config() -> Dict: