Guide Shows How to Integrate AgentRouter as an LLM Provider in TradingAgents Framework

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A developer tutorial published on DEV Community outlines how to add AgentRouter as a supported large language model provider within Tauric Research's open-source TradingAgents framework. The integration involves modifying several files, including registering AgentRouter's API endpoint and configuring WAF-bypass headers in the OpenAI client file. Developers must also update the model catalog to include AgentRouter's quick and deep model tiers, covering options from GPT-4o Mini to DeepSeek R1. Additional steps include setting an API key environment variable, bypassing strict model-name validation, and adding AgentRouter to the TradingAgents command-line interface. The guide is structured file-by-file to help users complete all changes systematically before reinstalling and restarting the framework.

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