Background issues
When developers use the big model APIs from different vendors, they often need to modify the code repeatedly due to the differences in the protocols of each vendor, which affects the efficiency and increases the maintenance cost.
Core Solutions
With UniAPI you can unify the interfaces by following these steps:
- protocol conversion: After installing and deploying UniAPI, the system automatically converts different APIs such as OpenAI, Claude, etc. to the standard OpenAI format.
- model mapping: Configure the model mapping table in the admin panel, e.g. map Claude's claude-2 to a gpt-4 alias
- unified call: Subsequently, you only need to maintain a set of code based on the OpenAI standard, and switch service providers by modifying the configuration instead of the code.
Operating Points
Note on specific implementation:
- It is recommended to prioritize Vercel deployment to avoid maintaining servers
- Complete the centralized configuration of BaseURL/API keys for each vendor at 'Add Configuration' in the admin panel.
- Keep the headers and body structure intact when calling, just replace the endpoint with the UniAPI address
This answer comes from the articleUniAPI: Server-Free Unified Management of Large Model API ForwardingThe
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