LiteLLM

LiteLLM is an LLM gateway, simplifying access to multiple LLM models or providers within a single proxy service. LiteLLM allows you to manage spending and rate limits across providers while configuring fallback and other access control configurations. They offer a free open-source, self-hosted code package that allows for the creation of a simple proxy service.

This guide demonstrates how to configure the Venice API within a LiteLLM proxy server.

Prerequisites

• Venice API key obtained through VVV staking or Venice Pro (more restrictive rate limits apply to Pro)
• Installed system dependencies including: “python3” and “pip”

Steps

1. Grab your API key from Venice.ai (follow instructions on https://docs.venice.ai/welcome/guides/generating-api-key for more information)
2. Go to https://docs.venice.ai/api-reference/endpoint/models/list and click “try it” next to GET /models to see all of the available models through the API. We recommend to use the default model as a starting place (llama-3.3-70b).

3. Create new directory on your machine. For this, we will create a folder called “litellmtest” on our desktop
4. Run the following command to install the LiteLLM package

5. Create a file called “config.yaml“ with the following. We are using “llama-3.3-70b” as the modelID for this example.

6. Start the LiteLLM server using your configuration file. We chose to have “detailed_debug” enabled to help us identify any errors throughout the process

7. The process will start running. You will see the following response within the terminal, amongst other process statuses. This shows that the configuration and model have loaded properly

8. Now that your configuration is working properly, we will send our first request to the server. LiteLLM allows you to utilize standard OpenAI API format. First open a new terminal window, and head over to the same directory where you ran the process. You can input this basic call to the API to confirm proper functionality

9. If you check the original terminal window where the LiteLLM server is running, you will see the following response. This confirms that the request was passed properly to the server.

10. The response from the Venice API will be returned in the same window in which you made the API call. Here is the response from the request above.

11. Congratulations on completing your Venice API integration with LiteLLM

Getting the most out of your LiteLLM and Venice API integration

Venice's API integration with LiteLLM provides several key advantages:

• Complete privacy: Your prompts and conversations are never stored
• Uncensored responses: Receive answers without artificial restrictions
• Free ongoing inference: Through VVV staking for high-volume usage
• Multiple model access: Through a single, unified interface

For more information and support:

• Check the Venice API documentation
• Review detailed model specifications
• Join the Venice Discord for developer discussions and support
• Explore LiteLLM's documentation for advanced configurations

Venice's API access through VVV staking provides ongoing, private access to AI capabilities without per-request fees or data collection.

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