Background and Solutions
When developers need to integrate Google Gemini models in existing tools based on OpenAI APIs (e.g. LangChain), the traditional way requires a lot of rewriting of the code. geminicli2api solves the problem by following the steps below:
concrete operation
- Deployment of proxy servers: Start the geminicli2api service via Docker or local run (default port 8888)
- Modifying API endpoints: Place the existing OpenAI client configuration of the
base_urldirectionalhttp://localhost:8888/v1 - Authentication Configuration: Use
GEMINI_AUTH_PASSWORDAs an API key in a format that is fully compatible with OpenAI - model mapping: Specify the Gemini-specific model name when calling (e.g.
gemini-2.5-pro)
dominance
- Zero code changes to enable technology stack migration
- Continued access to the OpenAI ecological toolchain
- Automatic entitlement to Google's free API quota
This answer comes from the articlegeminicli2api: Proxy tool to convert Gemini CLI to OpenAI-compatible APIsThe
May not be reproduced without permission:AI productivity tools " How to solve the problem that existing OpenAI tools are not compatible with Google Gemini models?
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