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Helicone

Open-source LLM observability through a single-line proxy

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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

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Comparisons

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

Portkey vs Helicone: AI Gateway Control Plane or Lightweight LLM Observability?

Portkey is the stronger fit for governed AI gateway control-plane needs, while Helicone is better when a team wants lightweight LLM observability, request analytics, caching visibility, and a simpler gateway path.

PortkeyHelicone

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.

OpenLLMetryLangfuseHelicone

LangSmith vs Langfuse vs Helicone — LLM Observability Platform Comparison

Three platforms for monitoring, debugging, and evaluating LLM applications in production. LangSmith is LangChain's integrated solution, Langfuse is the most popular open-source alternative acquired by ClickHouse, and Helicone offers the simplest setup through a single-line proxy integration.

LangSmithLangfuseHelicone