The most core technical feature of the tool is to achieve a standardized calling interface to a variety of mainstream large language models. Specific support includes Google's Gemini series, OpenAI's GPT full range of models, Anthropic's Claude series, and AliCloud's Qwen. The technical key lies in the design of an abstraction layer compatible with the OpenAI API format, which enables seamless access to any local or cloud-based model that conforms to the interface specification. In practice, developers can switch model services from different vendors through simple environment variable configuration, for example, setting the CUSTOM_LLM_PROVIDER parameter to openai or claude, and the system will automatically adapt the corresponding API protocol. This design significantly reduces the complexity of multi-model management, allowing developers to focus on business logic rather than API differences.
This answer comes from the articleeasy-llm-cli: enable Gemini CLI support for calling multiple large language modelsThe
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