docs: 更新README以添加Codex OAuth认证说明
添加ChatGPT Plus/Pro账户的Codex OAuth认证方式说明 更新支持的LLM提供商列表和默认配置参数
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README.md
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README.md
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@ -116,9 +116,32 @@ Install dependencies:
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pip install -r requirements.txt
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```
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### Required APIs
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### Authentication / APIs
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TradingAgents supports multiple LLM providers. Set the API key for your chosen provider:
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TradingAgents supports multiple LLM providers.
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#### Option A (Default): ChatGPT OAuth for Codex models (no `OPENAI_API_KEY`)
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If you have a ChatGPT Plus/Pro account, login once:
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```bash
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tradingagents auth login
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# If local callback port 1455 is busy:
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tradingagents auth login --manual
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```
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Check status / logout:
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```bash
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tradingagents auth status
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tradingagents auth logout
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```
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`codex_oauth` currently uses a Codex model whitelist:
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- `gpt-5.2-codex`
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- `gpt-5.2`
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#### Option B: API keys for other providers
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```bash
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export OPENAI_API_KEY=... # OpenAI (GPT)
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@ -162,7 +185,7 @@ An interface will appear showing results as they load, letting you track the age
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### Implementation Details
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We built TradingAgents with LangGraph to ensure flexibility and modularity. The framework supports multiple LLM providers: OpenAI, Google, Anthropic, xAI, OpenRouter, and Ollama.
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We built TradingAgents with LangGraph to ensure flexibility and modularity. The framework supports multiple LLM providers: Codex OAuth (ChatGPT Plus/Pro), OpenAI, Google, Anthropic, xAI, OpenRouter, and Ollama.
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### Python Usage
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@ -186,9 +209,9 @@ from tradingagents.graph.trading_graph import TradingAgentsGraph
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from tradingagents.default_config import DEFAULT_CONFIG
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config = DEFAULT_CONFIG.copy()
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config["llm_provider"] = "openai" # openai, google, anthropic, xai, openrouter, ollama
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config["deep_think_llm"] = "gpt-5.2" # Model for complex reasoning
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config["quick_think_llm"] = "gpt-5-mini" # Model for quick tasks
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config["llm_provider"] = "codex_oauth" # codex_oauth, openai, google, anthropic, xai, openrouter, ollama
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config["deep_think_llm"] = "gpt-5.4"
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config["quick_think_llm"] = "gpt-5.2"
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config["max_debate_rounds"] = 2
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ta = TradingAgentsGraph(debug=True, config=config)
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