About Helicone AI
Helicone is an open-source LLM observability platform designed for monitoring, debugging, and improving AI applications. It offers features like cost tracking, agent tracing, and prompt management through a 1-line integration. It helps developers ship AI apps with confidence by providing an all-in-one platform to monitor, debug, and improve production-ready LLM applications.
How to Use
Integrate Helicone with a single line of code to access cost tracking, agent tracing, prompt management, and more. Use the dashboard to monitor requests, segments, sessions, properties, and users. Improve prompts using the playground, experiments, and evaluators.
Key Features
- Cost tracking
- Agent tracing
- Prompt management
- Request and dashboard monitoring
- Experiments and evaluations
- Caching
- Rate limits
- LLM guardrails
- LLM moderation
- Gateway fallbacks
- Retries
Use Cases
- Monitor and debug LLM application performance
- Track costs associated with LLM usage
- Manage and optimize prompts
- Improve AI agent performance through tracing
- Run experiments to evaluate different prompt strategies
- Detect critical bugs and save agent runtime
Key Features
Pros & Cons
- Open-source and community-driven
- One-line integration with existing LLM code
- Supports multiple LLM providers (flexible)
- Comprehensive observability including cost, tracing, and caching
- Intuitive dashboard with powerful query language (HQL)
- Scalable pricing with a generous free tier (10,000 requests/month)
- Active development and frequent updates
- Built-in experiments, evaluators, and prompt management
- Free tier has limited requests, storage, and seats
- Usage-based pricing can become expensive at high volume
- Some advanced features (e.g., HIPAA, SAML SSO) only on higher-tier plans
- Log ingestion limits on lower plans (10 logs/min on free)
- Data retention ranges from 7 days (free) to forever (Enterprise)
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