Helicone/helicone

Health v2 · maintenance only

Adoption not part of the score

6104 stars · 663 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Helicone is an open-source LLM observability platform and AI gateway that logs, monitors, and analyzes LLM API requests with a one-line integration. It provides an OpenAI-compatible gateway to 100+ models with routing, fallbacks, caching, cost/latency tracking, agent tracing, and prompt management.

Use cases

• monitor llm api costs and latency
• log openai and anthropic requests
• trace ai agent calls
• route llm requests across providers with fallbacks
• version and test prompts
• evaluate llm output quality
• track token usage per user
• debug chatbot and rag pipelines

When to choose

• you need production observability for LLM calls with minimal code changes
• you want a unified gateway across OpenAI, Anthropic, Google, and other providers
• you need cost, latency, and quality dashboards for AI apps
• you want prompt versioning, datasets, and a playground for iteration
• you want a self-hostable open-source option with a hosted tier

When to avoid

• you only need generic APM without LLM-specific features
• you require strict data residency but cannot self-host and cannot use cloud logging
• your stack is entirely offline or local models with no API calls to observe

Facets

service · maturity active

monitoring tracing analytics llm-inference prompt-engineering api-gateway caching rate-limiting benchmarking webhook large-language-models artificial-intelligence monitoring developer-tools analytics self-hosted cloud python cross-platform llm-observability ai-gateway llmops llm-cost-tracking prompt-management agent-tracing openai-proxy model-routing ai-agents web-server nodejs

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Helicone/helicone")