Open-source LLM observability and AI gateway — logs every prompt, response, cost, and latency across 20+ providers with a one-line proxy or async SDK, plus caching, retries, and prompt experiments.
Open-source LLM observability and AI gateway — logs every prompt, response, cost, and latency across 20+ providers with a one-line proxy or async SDK, plus caching, retries, and prompt experiments.
Helicone is an open-source LLM observability platform aimed at production AI apps. It works as either a proxy gateway (you swap your OpenAI/Anthropic base URL for Helicone's and instantly get logs, costs, latency, caching, retries, and prompt versioning) or an async SDK that ships logs without sitting in the request path. The hosted dashboard gives you per-request traces, token-level cost attribution by user, session, and feature, and tools for prompt experiments and offline evaluations. Helicone supports 20+ providers including OpenAI, Anthropic, Google, Mistral, Together, Groq, OpenRouter, AWS Bedrock, and Azure OpenAI, plus a unified billing view across them.
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Helicone is the fastest win when a team needs to see LLM requests, latency, users, and cost before investing in a heavier evaluation platform.
AI gateway is a core Helicone capability confirmed from the staged data and fetched vendor copy.
Use Case:
LLM cost monitoring by model, user, endpoint or feature.
request logging is a core Helicone capability confirmed from the staged data and fetched vendor copy.
Use Case:
Debugging bad AI responses using request logs, sessions and prompt history.
sessions/users analytics is a core Helicone capability confirmed from the staged data and fetched vendor copy.
Use Case:
Routing and gateway governance across multiple LLM providers.
prompts and datasets is a core Helicone capability confirmed from the staged data and fetched vendor copy.
Use Case:
LLM cost monitoring by model, user, endpoint or feature.
alerts and reports is a core Helicone capability confirmed from the staged data and fetched vendor copy.
Use Case:
Debugging bad AI responses using request logs, sessions and prompt history.
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$79/month
$799/month
Custom
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Helicone has expanded session tracking and trace grouping in 2025, added experiment tracking with A/B testing for prompt variations with statistical significance analysis, broadened provider support to include AWS Bedrock, Groq, Together AI, and Fireworks AI, and introduced an AI Gateway product that unifies routing across providers with automatic fallback and key management. The platform also added prompt management with versioning and a template registry where teams can manage production prompts with full version history, an evaluation framework for systematic quality testing using LLM-as-judge scoring and custom evaluation functions, and the ability to create datasets from production logs for fine-tuning or evaluation workflows. Additional improvements include configurable alerting on cost thresholds, error rates, and latency spikes via webhooks, and deeper integrations with LLM frameworks including LangChain, LlamaIndex, CrewAI, and the Vercel AI SDK.
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