Q.What LLM providers are supported?
A.The gateway supports OpenAI, Anthropic, Gemini, Ollama, Mistral, and Cohere.
O
Open Source AI Gateway
★3.3
💬33
💲Free
Open Source AI Gateway is a developer tool that simplifies the management of multiple LLM providers. It offers features like smart failover, intelligent caching, and rate limiting to optimize performance and control costs. The admin dashboard provides insights into LLM usage and performance.
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Platform
web
AI GatewayAPI ManagementCachingContent GuardrailsHTTPLLM ManagementMulti-Provider Support
What is Open Source AI Gateway?
Open Source AI Gateway is an open-source tool designed for developers to manage multiple large language model (LLM) providers like OpenAI, Anthropic, and more. It offers built-in analytics, guardrails, rate limiting, caching, and administrative controls, supporting both HTTP and gRPC interfaces.
Core Technologies
- AI Gateway
- LLM Management
- API Management
- gRPC
- HTTP
Key Capabilities
- Manage multiple LLM providers
- Built-in analytics and monitoring
- Rate limiting and caching
- Content guardrails for safety
- Admin dashboard for usage and performance monitoring
Use Cases
- Route requests to different LLM providers based on availability or cost
- Implement rate limiting to prevent abuse and control costs
- Cache responses to reduce latency and costs
- Monitor LLM usage and performance through the admin dashboard
- Filter content to ensure safety and compliance
Core Benefits
- Simplifies management of multiple LLM providers
- Optimizes performance with caching and rate limiting
- Ensures safety and compliance with content guardrails
- Provides insights into LLM usage and performance
Key Features
- Multi-Provider Support
- HTTP and gRPC Interfaces
- Smart Failover
- Intelligent Caching
- Rate Limiting
- Admin Dashboard
- Content Guardrails
- Enterprise Logging
- System Prompt Injection
How to Use
- 1Configure the Config.toml file with API keys and model settings
- 2Run the Docker container, mounting the Config.toml file
- 3Use curl commands to make API requests to the gateway, specifying the LLM provider
Frequently Asked Questions
Q.How do I configure the gateway?
A.You configure the gateway using a Config.toml file, specifying API keys, model settings, and other configurations.
Q.How do I start the gateway?
A.You start the gateway using a Docker command, mounting the Config.toml file to the container.
Pros & Cons (Reserved)
✓ Pros
- Supports multiple LLM providers
- Offers built-in analytics and monitoring
- Provides rate limiting and caching capabilities
- Includes content guardrails for safety
- Open-source and configurable
✗ Cons
- Requires Docker for deployment
- Initial configuration may be complex
- Maintenance and updates are the user's responsibility
Alternatives
No alternatives found.