Helicone

🔍 Observability	🕸️ Agent Tracing	🚂 LLM Routing
💰 Cost & Latency Tracking	📚 Datasets & Fine-tuning	🎛️ Automatic Fallbacks

Helicone is an AI Gateway & LLM Observability Platform for AI Engineers

• 🌐 AI Gateway: Access 100+ AI models with 1 API key through the OpenAI API with intelligent routing and automatic fallbacks. Get started in 2 minutes.
• 🔌 Quick integration: One-line of code to log all your requests from OpenAI, Anthropic, LangChain, Gemini, Vercel AI SDK, and more.
• 📊 Observe: Inspect and debug traces & sessions for agents, chatbots, document processing pipelines, and more
• 📈 Analyze: Track metrics like cost, latency, quality, and more. Export to PostHog in one-line for custom dashboards
• 🎮 Playground: Rapidly test and iterate on prompts, sessions and traces in our UI.
• 🧠 Prompt Management: Version prompts using production data. Deploy prompts through the AI Gateway without code changes. Your prompts remain under your control, always accessible.
• 🎛️ Fine-tune: Fine-tune with one of our fine-tuning partners: OpenPipe or Autonomi (more coming soon)
• 🛡️ Enterprise Ready: SOC 2 and GDPR compliant

🎁 Generous monthly free tier (10k requests/month) - No credit card required!

Quick Start ⚡️

1. Get your API key by signing up here and add credits at helicone.ai/credits

2. Update the baseURL in your code and add your API key.

   import OpenAI from "openai";
   
   const client = new OpenAI({
     baseURL: "https://ai-gateway.helicone.ai",
     apiKey: process.env.HELICONE_API_KEY,
   });
   
   const response = await client.chat.completions.create({
     model: "gpt-4o-mini",  // claude-sonnet-4, gemini-2.0-flash or any model from https://www.helicone.ai/models
     messages: [{ role: "user", content: "Hello!" }]
   });

3. 🎉 You’re all set! View your logs at Helicone and access 100+ models through one API.

Self-Hosting Open Source LLM Observability

Docker

Helicone is simple to self-host and update. To get started locally, just use our docker-compose file.

# Clone the repository
git clone https://github.com/Helicone/helicone.git
cd docker
cp .env.example .env

# Start the services
./helicone-compose.sh helicone up

Helm

For Enterprise workloads, we also have a production-ready Helm chart available. To access, contact us at enterprise@helicone.ai.

Manual (Not Recommended)

Manual deployment is not recommended. Please use Docker or Helm. If you must, follow the instructions here.

Architecture

Helicone is comprised of five services:

• Web: Frontend Platform (NextJS)
• Worker: Proxy Logging (Cloudflare Workers)
• Jawn: Dedicated Server for serving collecting logs (Express + Tsoa)
• Supabase: Application Database and Auth
• ClickHouse: Analytics Database
• Minio: Object Storage for logs.

Integrations 🔌

Inference Providers

Integration	Supports	Description
AI Gateway	JS/TS, Python, cURL	Unified API for 100+ providers with intelligent routing, automatic fallbacks, and unified observability
Async Logging (OpenLLMetry)	JS/TS, Python	Asynchronous logging for multiple LLM platforms
OpenAI	JS/TS, Python	Inference provider
Azure OpenAI	JS/TS, Python	Inference provider
Anthropic	JS/TS, Python	Inference provider
Ollama	JS/TS	Run and use large language models locally
AWS Bedrock	JS/TS	Inference provider
Gemini API	JS/TS	Inference provider
Gemini Vertex AI	JS/TS	Gemini models on Google Cloud’s Vertex AI
Vercel AI	JS/TS	AI SDK for building AI-powered applications
Anyscale	JS/TS, Python	Inference provider
TogetherAI	JS/TS, Python	Inference provider
Hyperbolic	JS/TS, Python	Inference provider
Groq	JS/TS, Python	High-performance models
DeepInfra	JS/TS, Python	Serverless AI inference for various models
Fireworks AI	JS/TS, Python	Fast inference API for open-source LLMs

Frameworks

Framework	Supports	Description
LangChain	JS/TS, Python	Use AI Gateway with LangChain for unified provider access
LlamaIndex	Python	Framework for building LLM-powered data applications
LangGraph	Python	Build stateful, multi-actor applications with LLMs
Vercel AI SDK	JS/TS	AI SDK for building AI-powered applications
Semantic Kernel	C#, Python	Microsoft’s AI orchestration framework
CrewAI	Python	Framework for orchestrating role-playing AI agents
ModelFusion	JS/TS	Abstraction layer for integrating AI models into JavaScript and TypeScript applications
PostHog	JS/TS, Python, cURL	Product analytics platform. Build custom dashboards.
RAGAS	Python	Evaluation framework for retrieval-augmented generation
Open WebUI	JS/TS	Web interface for interacting with local LLMs
MetaGPT	YAML	Multi-agent framework
Open Devin	Docker	AI software engineer
Mem0 EmbedChain	Python	Framework for building RAG applications
Dify	No code required	LLMOps platform for AI-native application development

This list may be out of date. Don’t see your provider or framework? Check out the latest integrations in our docs. If not found there, request a new integration by contacting help@helicone.ai.

Additional Resources

• LLM Cost API: We have the largest open-source API pricing database with 300+ models and providers such as OpenAI, Anthropic and more. Start querying here.

• Data Management: Manage and export your Helicone data with our API or access it with our MCP server.

  • Guides: ETL, Request Exporting

• Data Ownership: Learn about Data Ownership and Autonomy

For more information, visit our documentation.