LiteLLM & Cline (using Codestral)

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Using LiteLLM with Cline

This guide demonstrates how to run a demo for LiteLLM starting with the Codestral model for use with Cline.

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Prerequisites

• Docker CLI or Docker Desktop installed to run the LiteLLM image locally
• For this example config: A Codestral API Key (different from the Mistral API Keys)

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Setup

1. Create a .env file and fill in the appropriate field

   # Tip: Use the following command to generate a random alphanumeric key:
   # openssl rand -base64 32 | tr -dc 'A-Za-z0-9' | head -c 32
   LITELLM_MASTER_KEY=YOUR_LITELLM_MASTER_KEY
   CODESTRAL_API_KEY=YOUR_CODESTRAL_API_KEY

   Note: Although this is limited to localhost, it’s a good practice set LITELLM_MASTER_KEY to something secure

2. Configuration

   We’ll need to create a config.yaml file to contain our LiteLLM configuration. In this case we’ll just have one model, ‘codestral-latest’ and label it ‘codestral’

   model_list:
       - model_name: codestral
         litellm_params:
             model: codestral/codestral-latest
             api_key: os.environ/CODESTRAL_API_KEY

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Running the Demo

1. Startup the LiteLLM docker container

   docker run \
       --env-file .env \
       -v $(pwd)/config.yaml:/app/config.yaml \
       -p 127.0.0.1:4000:4000 \
       ghcr.io/berriai/litellm:main-latest \
       --config /app/config.yaml --detailed_debug

2. Setup Cline

   Once the LiteLLM server is up and running you can set it up in Cline:

   • Base URL should be http://0.0.0.0:4000/v1
   • API Key should be the one you set in .env for LITELLM_MASTER_KEY
   • Model ID is codestral or whatever you named it under config.yaml

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Getting Help

• LiteLLM Documentation
• Mistral AI Console
• Cline Discord Community