Neuroproxy for Agents. Part 1: GigaChat
The author shares their experience integrating Sber's GigaChat language model into the Hermes Agent framework. Previously, DeepSeek served as the primary LLM, but the author sought to experiment with local solutions that offer robust Russian language support and comply with Russian jurisdiction requirements. The process revealed that simply swapping the API key in the configuration file was insufficient for proper system operation. The article details the technical challenges encountered when attempting to interface a third-party agent framework with the proprietary GigaChat API. This is the first part of a series focused on building a universal neuroproxy that allows agents to switch seamlessly between different models, abstracting away differences in APIs and response formats. This material is intended for developers working with agentic systems who are looking to diversify their LLM stack.
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