Open Source AI Gateway

An open-source AI gateway that streamlines management of multiple large language model (LLM) providers with integrated features for efficiency and control.

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About Open Source AI Gateway

This open-source AI gateway enables seamless management of multiple LLM providers such as OpenAI, Anthropic, Gemini, Ollama, Mistral, and Cohere. It features comprehensive analytics, safety guardrails, rate limiting, caching, and administrative controls, supporting both HTTP and gRPC protocols for versatile deployment.

How to Use

Configure the Config.toml file with your API credentials and model preferences. Launch the Docker container with the configuration mounted. Send API requests via curl or your preferred client, specifying the desired LLM provider.

Features

Advanced caching to speed up responses and reduce costs

Automatic failover for reliable LLM access

Protection against prompt injection risks

Built-in content safety guardrails

Support for multiple LLM providers

Supports both HTTP and gRPC interfaces

Intuitive admin dashboard for management

Rate limiting to control usage

Enterprise-grade logging and analytics

Use Cases

Implement rate limiting to prevent abuse and manage costs effectively

Filter and enforce content safety and compliance

Cache responses to decrease latency and operational expenses

Monitor LLM performance and usage through analytics dashboards

Route requests intelligently among multiple LLM providers based on availability and cost

Best For

AI development teamsMLOps engineersData scientistsPlatform developersSoftware engineers

Pros

Supports a wide range of LLM providers

Open-source with high configurability

Includes safety guardrails for secure deployment

Provides caching and rate limiting features

Offers comprehensive analytics and monitoring tools

Cons

Initial setup can be complex and technical

Ongoing maintenance required for updates

Requires Docker for deployment and management

Frequently Asked Questions

Find answers to common questions about Open Source AI Gateway

Which LLM providers are compatible?

The gateway supports OpenAI, Anthropic, Gemini, Ollama, Mistral, and Cohere models.

How is the gateway configured?

Use the Config.toml file to enter API keys, model parameters, and other settings for setup.

What are the steps to launch the gateway?

Run the Docker container with the Config.toml mounted, then send API requests to the gateway endpoint.

Can I monitor usage and performance?

Yes, the gateway includes built-in analytics and an admin dashboard for monitoring.

Does the gateway support multiple protocols?

Yes, it supports both HTTP and gRPC interfaces for versatile integration.