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Helicone

Open-source LLM observability through a single-line proxy

freemiumopen sourceupdated Aug 16, 2026

Helicone is an open-source LLM observability and AI gateway platform with proxy-based request logging, cost tracking, latency monitoring, caching, rate limits, user analytics, prompt tools, and HQL. It supports OpenAI, Anthropic, Azure, LiteLLM, Anyscale, Together AI, and OpenRouter integrations, and now presents itself as part of Mintlify while continuing managed and self-hosted gateway/observability workflows.

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Helicone is an open-source LLM observability platform that takes a uniquely simple approach to monitoring AI applications. Instead of requiring SDK integration or code changes, developers simply change their API base URL to route LLM requests through Helicone's proxy, instantly enabling comprehensive observability.

The proxy approach means Helicone works with major LLM providers and client libraries with minimal code changes beyond the URL swap. Current public pages list integrations such as OpenAI, Anthropic, Azure, LiteLLM, Anyscale, Together AI, and OpenRouter, while Helicone now presents itself as part of Mintlify rather than relying on an old interaction-count claim.

Core features include request and response logging, cost tracking across models and users, latency monitoring, response caching for cost reduction, rate limiting for usage control, and user-level analytics. The dashboard provides real-time visibility into all LLM usage across an organization.

Additional capabilities include prompt experimentation for A/B testing different prompts, evaluation tools for measuring output quality, and a gateway that adds routing, fallback, and retry logic to LLM requests.

Helicone is open-source and can be self-hosted. The managed cloud currently lists Hobby Free with 10,000 requests, Pro at $79/month, Team at $799/month, and Enterprise custom packages. The simplicity of the proxy integration makes it particularly attractive for teams wanting observability without heavy instrumentation.

Pricing

Hobby free: 10,000 requests; Pro $79/mo; Team $799/mo; Enterprise custom.

Platforms

Web, Proxy API, Self-hosted, Docker

Categories

Tags

Use Cases

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Comparisons

CodeBurn vs Helicone: Local Agent Costs or LLM Observability?

CodeBurn and Helicone address different layers of AI cost visibility. CodeBurn reads local coding-agent session files to explain spend across tools such as Claude Code, Codex, and Cursor without changing the request path. Helicone is an LLM gateway and observability platform for application traffic, with logs, cost analytics, caching, fallbacks, prompts, scores, and team controls. For the coding-agent FinOps job represented by this page, CodeBurn is the stronger default because it sees local developer sessions with no proxy or prompt egress. Helicone is the better architecture when the workload is a production LLM application that already needs centralized request telemetry.

CodeBurnHelicone

Helicone vs LiteLLM — LLM Observability Layer or Routing Gateway?

Teams researching LLM infrastructure often land on “Helicone vs LiteLLM” expecting a straight head-to-head, the way you would compare two code editors or two vector databases. That expectation is the wrong starting point. Helicone and LiteLLM solve adjacent but distinct problems in a production LLM stack, and understanding which layer each one occupies matters more than picking a “winner.” This comparison breaks down what each tool actually does, how they are priced and deployed, and — because it materially affects the decision — what a March 2026 ownership change means for one of them going forward.

HeliconeLiteLLM

Langfuse vs Helicone — Open-Source LLM Tracing vs Lightweight Observability Proxy

Langfuse and Helicone are the two leading open-source LLM observability platforms, but they differ in architecture and depth. Langfuse provides comprehensive tracing with prompt management, evaluation, and dataset curation. Helicone operates as a lightweight proxy that requires zero code changes — just swap your API base URL. This comparison helps teams choose between deep observability and frictionless integration for their LLM applications.

LangfuseHelicone

OpenLLMetry vs Langfuse vs Helicone — Open-Source LLM Observability Platforms Compared

LLM observability has become a non-negotiable requirement for production AI applications in 2026. Teams need to trace prompts and completions, track token costs, debug latency issues, and evaluate output quality. This comparison examines three leading open-source approaches: OpenLLMetry as a vendor-neutral instrumentation layer built on OpenTelemetry standards, Langfuse as a full-featured LLM observability platform with evaluation workflows, and Helicone as a proxy-based solution optimized for instant setup and cost tracking.

FAQ

What is Helicone?

Helicone is an open-source LLM observability and AI gateway platform with proxy-based request logging, cost tracking, latency monitoring, caching, rate limits, user analytics, prompt tools, and HQL. It supports OpenAI, Anthropic, Azure, LiteLLM, Anyscale, Together AI, and OpenRouter integrations, and now presents itself as part of Mintlify while continuing managed and self-hosted gateway/observability workflows.

Is Helicone free?

Helicone offers a free tier alongside paid plans. Hobby free: 10,000 requests; Pro $79/mo; Team $799/mo; Enterprise custom.

Is Helicone open source?

Yes — Helicone is open source.

What are the best Helicone alternatives?

The top editor-verified Helicone alternatives are Tokscale, Laminar, Braintrust.

How does Helicone score in our review?

Our hands-on review scores Helicone 84/100 overall, based on speed, privacy, and developer-experience testing.