Helicone
LLM observability platform — log, monitor, debug, and optimize every AI API call across OpenAI, Anthropic, and any other provider
Free tier (10K requests/month); Growth at $20/month; Enterprise available
Overview
Helicone is an LLM observability tool that sits between your application and your AI API calls, logging every request and response for analysis. It helps teams debug AI features, track costs, monitor quality over time, and run experiments — providing the visibility that most AI applications completely lack.
Key Features
- One-line integration with OpenAI, Anthropic, Azure, and others
- Request logging with full prompt/response history
- Cost tracking per user, session, and feature
- Prompt version management and A/B testing
- Automatic PII detection and redaction
- Custom properties for filtering and segmentation
- Real-time alerts for latency spikes and error rates
Pricing: Free tier (10K requests/month); Growth at $20/month; Enterprise for compliance and custom retention.
Pros
- One-line integration — almost zero setup cost
- Full request history makes debugging AI features dramatically easier
- Cost tracking surfaces which features or users are expensive
- Generous free tier for small projects
Cons
- Adds a proxy hop to every AI request — minor latency increase
- Retention limits on free and lower paid tiers
- Some advanced features only on Enterprise
Tags
Product Updates
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