Helicone
HeliconeLLM proxy that captures logs, costs and latency through a one-line change to the API base URL, with a dashboard for request volume, token usage, cost and error rates. It is also an AI gateway reaching more than a hundred models behind one API key, with automatic fallbacks, caching, prompt management and datasets. It runs from the repository or as a hosted service.
Openness
5 high confidence- license
- Apache-2.0(OSI)
- source
- public
- core features withheld
- no — the README points to a published docker-compose file for self-hosting under the Apache-2.0 license, and the only paid item it names is an Enterprise Helm chart for production deployment
Helicone's repository is licensed under Apache 2.0, and its README gives a docker-compose file for self-hosting under that license. The README names only an Enterprise Helm chart, available on request, for production deployments.
- https://github.com/Helicone/helicone recorded 2026-06-04
Apache-2.0 license; full source; hosted cloud paid tiers + self-host
- https://raw.githubusercontent.com/Helicone/helicone/main/LICENSE recorded 2026-09-29
The root LICENSE file of the repository is the standard text of the "Apache License" "Version 2.0, January 2004" with "TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION".
- https://raw.githubusercontent.com/Helicone/helicone/main/README.md recorded 2026-09-29
The README states "Helicone is licensed under the [Apache v2.0 License](LICENSE)." and says "Helicone is simple to self-host and update. To get started locally, just use our [docker-compose](https://docs.helicone.ai/getting-started/self-deploy-docker) file." under the heading "Self-Hosting Open Source LLM Observability". The one paid item named is the Helm chart: "For Enterprise workloads, we also have a production-ready Helm chart available."
Adoption
2 low confidenceGitHub stars on Helicone/helicone are the only adoption signal available, since no download, install, request or customer figure is published for this product. A star is not a use, so stars alone cannot carry a product past a modest reading, and the level here is directional rather than measured.
- https://api.github.com/repos/Helicone/helicone recorded 2026-08-12
stargazers_count = 6,058 for Helicone/helicone
Capability
4 high confidenceHelicone combines observability and agent tracing, prompt management versioned against production data, cost and latency analytics, datasets, caching, and LLM routing through an AI gateway spanning more than a hundred models with automatic fallbacks. That breadth keeps it level with Langfuse rather than ahead of it.
- https://docs.helicone.ai/gateway/overview.md recorded 2026-09-29
AI Gateway overview: "Helicone AI Gateway provides a unified API for 100+ LLM providers through the OpenAI SDK format" with "automatic fallbacks" and a comparison table listing Session Tracking, Prompt Management, Caching and Open Source as supported.
- https://docs.helicone.ai/llms.txt recorded 2026-09-29
Docs index listing pages for "Compose and iterate prompts, then easily deploy them in any LLM call with the AI Gateway." and "Curate and export LLM request/response data for fine-tuning, evaluation, and analysis" plus Sessions and LLM Caching pages.
- https://github.com/Helicone/helicone recorded 2026-06-04
feature list: observability/agent tracing, prompt mgmt, cost analytics, AI Gateway/routing, datasets/fine-tuning, fallbacks
Verified 2026-09-27