Introduction
Helicone is an open-source LLM observability and analytics platform. With one line of integration, it captures requests, sessions and traces, offering visualization, metrics and cost/latency analysis to help developers and ops teams improve the quality of model calls.
Key Features
- One-line integration: quick logging for OpenAI, Anthropic, Gemini and other providers.
- Tracing & playback: inspect requests and sessions for fine-grained debugging.
- Metrics & analytics: cost, latency and quality metrics with export options (e.g. PostHog).
- Prompt management: versioning and A/B testing for prompts and experiments.
- Cloud & self-hosting: Helicone Cloud or self-hosted deployment via Docker/Helm.
Use Cases
- Development & debugging: observe request flows and context in real time to find issues.
- Cost optimization: analyze cost and latency across models and strategies.
- Quality evaluation: compare prompt/model variants and run automated evaluations.
- Compliance & auditing: preserve traces and sessions for governance and audits.
Technical Highlights
- Multi-language SDKs: JavaScript/TypeScript and Python SDKs with example projects.
- Distributed analytics: uses ClickHouse for large-scale log aggregation and analysis.
- Cloud-native ready: Docker Compose and Helm Chart for Kubernetes deployments.