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https://github.com/TauricResearch/TradingAgents.git
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d13e9b7946
Adds a single _ENV_OVERRIDES table in default_config.py with type-aware coercion (str/int/bool), so users can switch llm_provider, deep/quick models, backend URL, output language, debate rounds, and the checkpoint flag purely via .env. Centralizes load_dotenv in the package __init__ so the overlay applies for every entry point (CLI, main.py, programmatic). Drops the hardcoded model assignments and duplicate dotenv loads in main.py and cli/main.py. Verified live with OpenAI and Gemini. #602
27 lines
827 B
Plaintext
27 lines
827 B
Plaintext
# LLM Providers (set the one you use)
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OPENAI_API_KEY=
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GOOGLE_API_KEY=
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ANTHROPIC_API_KEY=
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XAI_API_KEY=
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DEEPSEEK_API_KEY=
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DASHSCOPE_API_KEY=
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DASHSCOPE_CN_API_KEY=
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ZHIPU_API_KEY=
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ZHIPU_CN_API_KEY=
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MINIMAX_API_KEY=
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MINIMAX_CN_API_KEY=
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OPENROUTER_API_KEY=
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# Optional: override DEFAULT_CONFIG without editing code.
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# Any TRADINGAGENTS_* variable below, when set, replaces the matching key
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# in tradingagents/default_config.py. Values are coerced to the type of
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# the existing default (bool / int / str), so "true"/"3" work as expected.
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#TRADINGAGENTS_LLM_PROVIDER=openai
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#TRADINGAGENTS_DEEP_THINK_LLM=gpt-5.4
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#TRADINGAGENTS_QUICK_THINK_LLM=gpt-5.4-mini
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#TRADINGAGENTS_LLM_BACKEND_URL=
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#TRADINGAGENTS_OUTPUT_LANGUAGE=English
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#TRADINGAGENTS_MAX_DEBATE_ROUNDS=1
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#TRADINGAGENTS_MAX_RISK_ROUNDS=1
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#TRADINGAGENTS_CHECKPOINT_ENABLED=false
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