Helicone
Open-source LLM observability and monitoring platform
Helicone provides logging, analytics, and cost tracking for LLM API calls across OpenAI, Anthropic, and other providers. Built for developers managing production AI applications.
Helicone captures detailed telemetry from your LLM API requests including latency, tokens, costs, and error rates. Features include customizable logging, request/response inspection, usage analytics dashboards, and performance monitoring. The open-source architecture allows self-hosting alongside cloud deployment options, giving teams control over data privacy while maintaining observability at scale.
Pros
- Track costs and token usage across multiple LLM providers in one dashboard
- Self-host on your infrastructure for data privacy and compliance
- Inspect full request/response payloads for debugging and analysis
- Monitor latency and error rates with real-time alerting capabilities
- Open-source codebase available for customization and transparency
Cons
- Requires API integration setup for each application or provider
- Self-hosted deployments need infrastructure management and maintenance
- Learning curve for advanced features like custom metrics and alert rules
Best For
Engineering teams building production LLM applications who need cost visibility, debugging capabilities, and control over observability data.
Pricing
Free
- Core features
- Email support
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