Helicone

LLM observability via proxy

Observability Free tier → paid at volume
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What It Is

Helicone acts as a proxy between your application and your LLM provider — change a single API base URL and suddenly every request, response, cost, and latency is captured. The proxy-based architecture means zero code changes (just a config change) and works with any LLM provider that has an OpenAI-compatible API.

How It Works

Change your OpenAI base URL from api.openai.com to oai.helicone.ai and add your Helicone API key as a header. That's it. Every request now flows through Helicone, which captures metadata and forwards to OpenAI. Custom metrics, properties, and user IDs can be attached via headers. Works with OpenAI, Anthropic, Cohere, and any provider with an OpenAI-compatible endpoint.

Pricing Breakdown

Free tier: 100k requests/month. Pro: $20/month (2M requests). Business: $500/month (unlimited + SSO). Self-hosted available.

Who Uses It

Teams that want observability without rewriting their code. Particularly popular with early-stage startups and teams that already have instrumented code they don't want to touch.

Strengths & Weaknesses

✓ Strengths

  • One-line setup (just change base URL)
  • Cost tracking
  • Custom dashboards
  • Works with any OpenAI-compatible API

× Weaknesses

  • Proxy adds 10-50ms latency
  • Less deep than LangSmith
  • Single point of failure

Best Use Cases

Cost trackingLatency monitoringQuick setupNon-LangChain apps

Alternatives

LangSmith
LangChain's observability platform
Langfuse
Open-source LLM observability
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