Confident AI
DeepEval-powered LLM evaluation platform to test, benchmark, and safeguard apps
Helicone
Open-source LLM observability and developer platform for AI applications
All-in-one platform for logging, monitoring, and optimizing LLM requests across OpenAI, Anthropic, and 20+ providers with one line of code.
Overview
What is Helicone?
Helicone is a comprehensive LLM developer platform that provides observability, prompt management, and evaluation tools for AI applications. Designed for teams building with large language models, it integrates with a single line of code to capture requests across OpenAI, Anthropic, Gemini, LangChain, LlamaIndex, LiteLLM, and over 20 other providers.
Core Capabilities
The platform offers deep tracing for agents and chatbots, cost and latency analytics, prompt versioning with production data, and automated evaluations through LastMile and Ragas integrations. Teams can test prompts in an interactive playground, fine-tune models with OpenPipe or Autonomi, and leverage gateway features like caching, rate limiting, and LLM security.
Deployment Options
Helicone Cloud runs on Cloudflare Workers with ~10ms latency overhead and includes 100k free requests monthly. For self-hosting, Docker and production-ready Helm charts are available. The architecture comprises a NextJS frontend, Express-based log collector (Jawn), Cloudflare Workers proxy, Supabase for auth, ClickHouse for analytics, and MinIO for object storage. SOC 2 and GDPR compliance make it enterprise-ready.
Highlights
One-line integration with 20+ LLM providers including OpenAI, Anthropic, and Gemini
Agent and session tracing with cost, latency, and quality metrics
Prompt versioning and playground for rapid iteration with production data
Self-hostable via Docker or Helm with Cloudflare Workers-based cloud option
Pros
- Minimal integration effort with single line of code across multiple providers
- Low latency overhead (~10ms) when using cloud deployment on Cloudflare Workers
- Generous free tier of 100k requests per month with no credit card required
- Full self-hosting capability with Docker and enterprise Helm charts
Considerations
- Self-hosting requires managing five separate services (Web, Worker, Jawn, Supabase, ClickHouse, MinIO)
- Manual deployment explicitly not recommended, limiting flexibility for custom setups
- Fine-tuning and some evaluation features depend on third-party partner integrations
- Advanced enterprise features like production Helm charts require contacting sales
Managed products teams compare with
When teams consider Helicone, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Fit guide
Great for
- Teams building AI agents, chatbots, or document processing pipelines needing deep observability
- Organizations requiring SOC 2 and GDPR compliance for LLM monitoring
- Developers working across multiple LLM providers who want unified logging
- Companies wanting self-hosted LLM observability with full data control
Not ideal when
- Projects needing extensive fine-tuning options beyond OpenPipe and Autonomi partnerships
- Teams unable to manage multi-service architectures for self-hosted deployments
- Use cases requiring custom evaluation frameworks beyond LastMile and Ragas
- Organizations needing manual deployment control outside Docker or Helm
How teams use it
Multi-Agent System Debugging
Trace complex agent interactions across sessions to identify bottlenecks, track costs per agent, and optimize prompt chains using production data in the playground.
Production Cost Optimization
Monitor LLM spending across OpenAI, Anthropic, and other providers in real-time, export metrics to PostHog for custom dashboards, and implement caching to reduce redundant requests.
Prompt Version Management
Version control prompts with production performance data, A/B test variations in the playground, and roll back to previous versions when quality degrades.
Compliance-Ready LLM Logging
Self-host on internal infrastructure to meet data residency requirements while maintaining SOC 2 and GDPR compliance for regulated industries like healthcare or finance.
Tech snapshot
TypeScript91%
MDX8%
Python1%
PLpgSQL1%
Shell1%
JavaScript1%
Frequently asked questions
How does Helicone add latency to my LLM requests?
Helicone Cloud adds approximately 10ms of latency overhead because it runs on Cloudflare Workers at the edge. Latency benchmarks are available in the documentation.
Can I use Helicone without sending data to the cloud?
Yes, Helicone can be fully self-hosted using Docker or Helm charts. You'll run all five services (Web, Worker, Jawn, Supabase, ClickHouse, MinIO) in your own infrastructure.
What LLM providers does Helicone support?
Helicone integrates with OpenAI, Anthropic, Azure OpenAI, Gemini, AWS Bedrock, Groq, LiteLLM, OpenRouter, TogetherAI, Anyscale, and 10+ other providers, plus frameworks like LangChain and LlamaIndex.
Is there a free tier for Helicone Cloud?
Yes, Helicone Cloud offers 100k free requests per month with no credit card required. After that, you pay based on usage.
Project at a glance
Active- Stars
- 5,021
- Watchers
- 5,021
- Forks
- 472
LicenseApache-2.0
Repo age2 years old
Last commit13 hours ago
Self-hostingSupported
Primary languageTypeScript
Last synced 3 hours ago