Helicone

Helicone AI is an open-source, self-hosted AI gateway and LLM observability platform that provides a unified OpenAI-compatible interface to access 100+ different large language model (LLM) providers in a single API.

The key features include a Unified Interface to use OpenAI SDK syntax for multiple LLM providers like OpenAI, Anthropic, and Google without switching APIs. It offers Load Balancing & Failover with intelligent routing of requests based on latency, health, and error rates, including automatic failover for 99.99% uptime. Caching provides semantic similarity-based response caching to improve performance and reduce costs with configurable cache durations. Rate Limiting supports per-user, per-session, and custom rate limits. Observability features real-time monitoring, request/response logging, token usage, latency metrics, and cost analytics across providers. Prompt Management allows users to manage and reuse prompt templates with dynamic variable substitution via the AI Gateway. Finally, Self-Hosting & Cloud Options enable using Helicone as a fully self-hosted solution for control or via their cloud-hosted AI Gateway.

To get started with Helicone, first create an account on Helicone.ai, then generate your Helicone API key. Next, choose your integration method, which can be a cloud-hosted endpoint or self-hosted. Finally, make your first AI request using OpenAI-compatible SDKs with Helicone as the base URL.

Helicone manages API keys to different providers for you. You add credits to your account with zero markup and unified billing. This avoids managing multiple provider accounts and allows seamless switching between models.

Helicone provides security and compliance measures including SOC-2 certification and practices; detailed info is available in their security FAQ.

You can access over 100 LLM models including GPT-4 variants, Anthropic’s Claude, and others via a single API interface.

Yes. Helicone offers comprehensive documentation for self-hosting their observability and gateway platform, including database setup and service start scripts.

Help is available through several channels, including documentation at docs.helicone.ai, support via email at help@helicone.ai or support@helicone.ai, and community engagement through Discord and GitHub repositories.