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Helicone

AI gateway and LLM observability platform that logs requests, cost and latency and routes to 100+ models.

Helicone: AI gateway plus LLM logs

One base URL change to log, route and cache LLM calls, with Docker self-hosting.

Free forever · open source · Apache-2.0
✓ Needs IT✓ Browser-based✓ Real-time collaboration
6.8
ZEKAI
Gateway first, evals second
Free & open source · Software
Ease of setup4
Usefulness6
Maintenance9.5
Community7.5
★ 6,279
GITHUB
Nov 2026
UPDATED
Apache-2.0
LICENSE
🛠 Don't want to self-host? We can set it up →
⚡ Quick answer

Helicone is an AI gateway and LLM observability platform: you point your OpenAI-style client at its gateway and every request is logged with cost and latency. It suits developers who want proxy-style logging and model routing more than deep evaluation tooling, and who accept a heavy self-hosting stack.

Runs on
Web
Hosting
Cloud or self-host
Languages
TypeScript
License
Apache-2.0

What it is

Helicone sits between your app and providers such as OpenAI, Anthropic, Azure OpenAI, Bedrock and Gemini, giving access to 100+ models through one API key with fallbacks. It records requests, sessions and traces, tracks cost and latency, and adds a playground and prompt versioning that can be deployed through the gateway without code changes.

Who it's for

It suits small teams and agent builders who want to switch one baseURL line and immediately see spend and latency per request. It is a weaker fit if you need dataset-driven evaluation as the centre of your workflow, and the repository's own release page shows no new release since August 2025.

Key features

One-line gateway integration

Change the baseURL and API key in your OpenAI-style client to route calls through the AI Gateway.

Routing with fallbacks

Reach 100+ models with one key and automatic fallbacks between them.

Sessions and agent traces

Inspect and debug sessions for agents, chatbots and document-processing pipelines.

Cost and latency tracking

Track spend, latency and quality metrics, and export to PostHog in one line.

Gateway prompt deployment

Version prompts from production data and deploy them through the gateway without code changes.

Fine-tuning partner hand-off

Send logged data on to fine-tuning partners OpenPipe or Autonomi.

How to start

Up and running in 3 steps

1
Sign up at helicone.ai, add credits, and set your client's baseURL to https://ai-gateway.helicone.ai with your Helicone API key.
2
Run a request, then open the Helicone dashboard to view the logged request, cost and latency.
3
To self-host, clone the repo, cd docker, cp .env.example .env and run ./helicone-compose.sh helicone up.
Real talk

Our honest verdict

What's great

  • Switching to the gateway is a base URL and key change, shown in the README as a few lines of TypeScript.
  • The gateway combines logging with routing to many models and automatic fallbacks, which pure tracing tools do not do.
  • Cost tracking is a headline feature, with a documented method for how cost is calculated.
  • The cloud free tier is 10k requests a month with no credit card, so you can try it before self-hosting.

Where it falls short

  • Self-hosting means five services: a NextJS web app, a Cloudflare Workers proxy, the Jawn log server, Supabase for the app database and auth, ClickHouse for analytics, plus Minio for object storage.
  • The production Helm chart is not in the open: the README says to email Helicone's enterprise address to get it, and manual deployment is marked not recommended.
  • The latest release listed on the GitHub releases page is dated August 2025, and the pricing page now says Helicone is part of Experiential Labs with details to come, so check the project's direction before committing.
  • Evaluation is lighter than in eval-first tools; the README lists prompts, playground and datasets, with RAGAS as an external integration.
Cost

Pricing & license

The code is free under Apache-2.0; self-hosting costs you the servers. Helicone's cloud pricing (helicone.ai/pricing) shows Hobby free with 10,000 requests, 1 GB storage and 7-day retention; Pro at $79 a month and Team at $799 a month, both with usage-based pricing on top and a 7-day free trial; and Enterprise on custom terms with SAML SSO and on-prem deployment.

Paid work

Open remote AI-training roles

870 open remote AI-training roles, updated November 14, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.

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Questions

FAQ

Can I run Helicone without the cloud?

Yes, the README gives a Docker Compose route. It starts multiple services including ClickHouse, Supabase and Minio, so expect to run a small stack.

Is Helicone a proxy or an SDK?

Its main route is the AI Gateway proxy where you change the base URL, and it also lists async logging through OpenLLMetry.

Is Helicone still actively developed?

The GitHub releases page shows its last release in August 2025, and the pricing page says Helicone is now part of Experiential Labs with details to come.

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