helicone: an AI gateway and observability platform for tracking costs, latency, and routing LLM requests

What it solves

Helicone provides a centralized platform for AI engineers to monitor, manage, and optimize their LLM applications. It addresses the complexity of tracking costs, latency, and quality across multiple AI providers, as well as the difficulty of managing prompts and routing requests between different models.

How it works

Helicone acts as an AI Gateway and observability platform. By updating the baseURL in your code to point to Helicone's gateway, you can route requests to over 100 AI models using a single API key. The platform logs all requests and responses, allowing you to inspect traces, sessions, and metrics in a dashboard. It also provides tools for prompt versioning and deployment without requiring code changes.

Who it’s for

AI engineers building chatbots, agents, and document processing pipelines who need a unified way to observe their LLM usage and manage their model routing.

Highlights

• AI Gateway: Unified API for 100+ providers with intelligent routing and automatic fallbacks.
• Observability: Detailed tracing and session tracking for debugging agents and pipelines.
• Prompt Management: Version and deploy prompts using production data without code changes.
• Analytics: Tracking for cost, latency, and quality, with export capabilities to PostHog.
• Broad Integration: Supports a wide range of inference providers (OpenAI, Anthropic, Gemini, Groq, etc.) and frameworks (LangChain, LlamaIndex, CrewAI, etc.).