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LLM Gateway

Freemium
Model APIsFreemium
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Type
Saas
Company
LLM Gateway
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About LLM Gateway

LLM Gateway is a platform that allows users to route, manage, and analyze their Large Language Model (LLM) requests across multiple providers using a unified API interface. It is fully open source and compatible with the OpenAI API format for seamless integration.

How to Use

To use LLM Gateway, users simply change their existing API endpoint to https://api.llmgateway.io/v1 and use their LLM Gateway API key. It is compatible with the OpenAI API format, allowing for seamless migration and integration with existing code in various languages and frameworks like Python, TypeScript, Next.js, Java, Rust, Go, PHP, and Ruby. LLM Gateway then routes the request to the appropriate provider while tracking usage and performance.

LLM Gateway's

Key Features

  • Unified API Interface (OpenAI API compatible)
  • Multi-provider Support
  • Usage Analytics (requests, tokens, response times, costs)
  • Performance Monitoring
  • Secure Key Management
  • Self-hosted or Cloud deployment
  • Model Orchestration (dynamic routing to optimal AI model)
  • Simple Integration

Use Cases

  • Managing and routing LLM requests across various providers through a single API.
  • Tracking and analyzing LLM usage, costs, and performance.
  • Migrating existing OpenAI API integrations to support multiple LLM providers.
  • Deploying a self-hosted LLM proxy for full data control and no usage limits.
  • Comparing different LLM models' performance and cost-effectiveness.

Key Features

Unified API Interface (OpenAI API compatible)
Multi-provider Support
Usage Analytics (requests, tokens, response times, costs)
Performance Monitoring
Secure Key Management
Self-hosted or Cloud deployment
Model Orchestration (dynamic routing to optimal AI model)
Simple Integration

Best For

Managing and routing LLM requests across various providers through a single API.Tracking and analyzing LLM usage, costs, and performance.Migrating existing OpenAI API integrations to support multiple LLM providers.Deploying a self-hosted LLM proxy for full data control and no usage limits.Comparing different LLM models' performance and cost-effectiveness.

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