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description
Learn how Flowise integrates with LiteLLM Proxy

LiteLLM Proxy

Use LiteLLM Proxy with Flowise to:

  • Load balance Azure OpenAI/LLM endpoints
  • Call 100+ LLMs in the OpenAI Format
  • Use Virtual Keys to set budgets, rate limits and track usage

How to use LiteLLM Proxy with Flowise

Step 1: Define your LLM Models in the LiteLLM config.yaml file

LiteLLM Requires a config with all your models defined - we will call this file litellm_config.yaml

Detailed docs on how to setup litellm config - here

model_list:
  - model_name: gpt-4
    litellm_params:
      model: azure/chatgpt-v-2
      api_base: https://openai-gpt-4-test-v-1.openai.azure.com/
      api_version: "2023-05-15"
      api_key: 
  - model_name: gpt-4
    litellm_params:
      model: azure/gpt-4
      api_key: 
      api_base: https://openai-gpt-4-test-v-2.openai.azure.com/
  - model_name: gpt-4
    litellm_params:
      model: azure/gpt-4
      api_key: 
      api_base: https://openai-gpt-4-test-v-2.openai.azure.com/

Step 2. Start litellm proxy

docker run \
    -v $(pwd)/litellm_config.yaml:/app/config.yaml \
    -p 4000:4000 \
    ghcr.io/berriai/litellm:main-latest \
    --config /app/config.yaml --detailed_debug

On success, the proxy will start running on http://localhost:4000/

Step 3: Use the LiteLLM Proxy in Flowise

In Flowise, specify the standard OpenAI nodes (not the Azure OpenAI nodes) -- this goes for chat models, embeddings, llms -- everything

  • Set BasePath to LiteLLM Proxy URL (http://localhost:4000 when running locally)
  • Set the following headers Authorization: Bearer <your-litellm-master-key>