Parea AI works seamlessly with LiteLLM proxy using the wrap_openai_client/patchOpenAI methods.

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Quickstart

Assuming you had a liteLLM config.yaml file with the following content:

model_list:
  - model_name: gpt-4o # user-facing model alias
    litellm_params: # all params accepted by litellm.completion() - https://docs.litellm.ai/docs/completion/input
      model: gpt-4o
      api_key: OPENAI_API_KEY
  - model_name: claude-3-haiku-20240307 # user-facing model alias
    litellm_params:
      model: claude-3-haiku-20240307
      api_key: ANTHROPIC_API_KEY
  - model_name: azure_gpt-3.5-turbo
    litellm_params:
      model: azure/<azure_model_name>
      api_key: AZURE_API_KEY
      api_base: https://<url>.openai.azure.com/
  - model_name: anthropic.claude-3-haiku-20240307-v1:0
    litellm_params:
      model: bedrock/anthropic.claude-3-haiku-20240307-v1:0
      aws_access_key_id: AWS_ACCESS_KEY_ID
      aws_secret_access_key: AWS_SECRET_ACCESS_KEY
      aws_region_name: us-west-2

You could wrap the OpenAI client with Parea AI as follows:

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Visualizing your traces

In your Parea logs dashboard, you can visualize your traces and see the detailed steps the LLM took across the various models.

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