Technology · Agentic → Observability · Open Core · wiki:deep
Helicone is an AI gateway and LLM observability platform: point OpenAI-compatible clients at Helicone’s gateway for logging, cost/latency, sessions/traces, prompt management, playground, and routing/fallbacks across many models — often with a one-line baseURL change. It also supports async OpenLLMetry-style logging and framework integrations (LangChain, Vercel AI SDK, and others). Open-source (Apache-2.0) with self-host (Docker/Helm) and cloud; SOC2/GDPR claims for enterprise. YC W23.
Fastest path to request-level LLM logs without deep span instrumentation. Prefer Helicone for gateway/proxy adoption; prefer Langfuse/Phoenix/Opik for richer agent-tree debugging and eval workflows; prefer OpenLLMetry to keep vendor-neutral OTEL into existing ops stacks.
Clients send completions through Helicone’s AI Gateway (or async OpenLLMetry logging). Helicone stores/analyzes requests; operators inspect sessions, costs, and prompts in the UI.
baseURL to Helicone gateway (or async logger). Related: arize-phoenix · comet-optik · langfuse · topics/09-self-monitoring
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Catalog backlinks — what points here (wiki “what links here”).
Claims below are backed by science sources on disk.
Gateway / observability role
Helicone/helicone · MODERATE
“Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23”
Docs / features
Helicone documentation · MODERATE
“Open source LLM observability platform. One line of code to monitor, evaluate, and experiment.”
Contrast vs Langfuse
Langfuse contrast · MODERATE
“One line of code to monitor, evaluate, and experiment.”
Features and peers linked from the catalog map — not a second product surface.
No DM vendor crosswalk edges yet.
Primary repo github.com/Helicone/helicone · Open Core
technologies/helicone/README.md
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