LLM Gateway
Open-source unified API for all LLM providers
What is LLM Gateway? Complete Overview
LLM Gateway is a fully open-source solution that enables developers to interact with any large language model (LLM) provider through a single, unified API interface. It simplifies the process of routing, managing, and analyzing LLM requests across multiple providers, eliminating the need to maintain separate integrations for each service. The tool is designed for developers and organizations that want flexibility in their AI model usage while maintaining a consistent integration point. By providing a standardized API, LLM Gateway allows users to easily switch between different LLM providers without changing their application code, making it ideal for comparing model performance, managing costs, and ensuring service continuity.
What Can LLM Gateway Do? Key Features
Unified API Interface
LLM Gateway provides a single API endpoint that works with multiple LLM providers, including OpenAI, Anthropic, and others. This standardization eliminates the need to learn and implement different APIs for each provider, significantly reducing development time and complexity.
Multi-Provider Support
The platform supports integration with various LLM providers, allowing users to leverage different models from different sources through one consistent interface. This enables easy comparison of model outputs and performance across providers.
Request Routing
Intelligent routing capabilities let users direct requests to specific providers or automatically distribute them based on configured rules, such as cost optimization, performance requirements, or fallback scenarios.
Usage Analytics
Built-in analytics provide insights into LLM usage patterns, costs, and performance metrics across different providers, helping users make informed decisions about their model selection and budget allocation.
Open-Source Foundation
As a fully open-source solution, LLM Gateway offers complete transparency and customization options. Users can modify the codebase to meet specific requirements or contribute to its ongoing development.
Best LLM Gateway Use Cases & Applications
Multi-Provider Model Evaluation
Development teams can use LLM Gateway to simultaneously test and compare outputs from different LLM providers, helping them select the most suitable model for their specific use case based on quality, cost, and performance.
Provider Fallback Strategy
Businesses can configure automatic fallback to alternative providers when their primary LLM service experiences downtime, ensuring continuous availability of AI capabilities for critical applications.
Cost-Optimized AI Implementation
Organizations can leverage LLM Gateway's routing capabilities to direct requests to the most cost-effective provider for each type of query, maximizing their AI budget efficiency.
How to Use LLM Gateway: Step-by-Step Guide
Obtain your API key from the LLM Gateway platform. This key will authenticate your requests to the unified API endpoint.
Set up your development environment by installing the necessary client library or using HTTP requests directly to the API endpoint.
Configure your API client with the LLM Gateway base URL (https://api.llmgateway.io/v1) and your API key.
Make requests to the unified API following the standard format, specifying the desired model and provider in your request parameters.
Process the responses from the API, which will come in a consistent format regardless of which underlying LLM provider was used.
LLM Gateway Pros and Cons: Honest Review
Pros
Considerations
Is LLM Gateway Worth It? FAQ & Reviews
Yes, LLM Gateway is completely open-source and free to use. You can self-host the solution without any licensing costs, though you'll still need to pay for the underlying LLM services you connect to through the gateway.
LLM Gateway supports multiple providers including OpenAI and others. The exact list of supported providers can be found in the documentation, and the open-source nature allows for adding support for new providers.
Absolutely. LLM Gateway is designed for both development and production use. Its open-source nature allows you to customize and scale it according to your production requirements.
Getting started is simple: visit the documentation, obtain your API key, and follow the provided code examples to integrate the unified API into your application.
As an open-source solution, the data handling depends on your implementation. When self-hosted, you have full control over what data is stored or logged.
