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Use LiteLLM with Bridge

In short: In LiteLLM, prefix the Bridge model ID with openai/ and set api_base to Bridge's API, including /v1, with your Bridge key. That works in the Python SDK and in the proxy's config.yaml, so every Bridge model is reachable through LiteLLM, billed in naira.

Updated

Python SDK

import os, litellm

reply = litellm.completion(
    model="openai/gemini-3.5-flash-lite",
    api_base="https://wekoya-api.wekoya.tech/v1",
    api_key=os.environ["WEKOYA_API_KEY"],
    messages=[{"role": "user", "content": "Hello"}],
)

Proxy config.yaml

model_list:
  - model_name: claude-sonnet
    litellm_params:
      model: openai/claude-sonnet-5-5
      api_base: https://wekoya-api.wekoya.tech/v1
      api_key: os.environ/WEKOYA_API_KEY

api_base must end in /v1 and nothing after it; LiteLLM adds the rest. Without /v1, requests fail with Not Found.

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Common questions

Why the openai/ prefix?

It tells LiteLLM to call an OpenAI-compatible Chat Completions endpoint, which is what Bridge serves.

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