LLM API

LLM API is a unified API gateway for Large Language Models (LLMs). It acts as a middleware between your applications and various LLM providers, allowing you to:

Route requests to multiple LLM providers (OpenAI, Anthropic, Google AI Studio, and others)
Manage API keys for different providers in one place
Track token usage and costs across all your LLM interactions
Analyze performance metrics to optimize your LLM usage

All you need in one place

Analyzing Your LLM Requests

LLM API provides detailed insights into your LLM usage:

Usage Metrics: Track the number of requests, tokens used, and response times
Cost Analysis: Monitor spending across different models and providers
Performance Tracking: Identify patterns and optimize your prompts based on actual usage data
Breakdown by Model: Compare different models' performance and cost-effectiveness

All this data is automatically collected and presented in an intuitive dashboard, helping you make informed decisions about your LLM strategy.

How It Works

LLM API is a gateway, not a model. Your app talks to a single OpenAI/Anthropic-compatible endpoint using one key, and LLM API forwards each request to the actual upstream provider (OpenAI, Anthropic, AWS Bedrock, Google, and others). One key + one URL = access to every model from every vendor, with no extra hop for your code to manage.

Read more about the request path and terminology in Concepts.

Getting Started

Using LLM API is simple. Just swap out your current LLM provider URL with the LLM API API endpoint:

curl -X POST https://api.llmapi.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $LLM_API_KEY" \
  -d '{
  "model": "gpt-4o",
  "messages": [
    {"role": "user", "content": "Hello, how are you?"}
  ]
}'

LLM API maintains compatibility with the OpenAI API format, making migration seamless.