Helicone is a web-based observability platform designed specifically for developers building with large language models (LLMs). It centralizes the monitoring, logging, debugging, and optimization of LLM apps into a single easy-to-use dashboard. Helicone automatically captures detailed metadata, segments sessions, analyzes prompt effectiveness, and helps teams identify bottlenecks. With integrations for OpenAI, Anthropic, Azure, LiteLLM, and more, it supports modern AI stacks seamlessly. By giving developers real-time feedback on LLM performance and user interaction, Helicone helps businesses ship faster, debug smarter, and deliver a consistently better AI experience.
Performance Score
A+
Content/Output
Enterprise-Grade Monitoring
Interface
Clean & Developer-Friendly
AI Technology
- LLM Observability
- Metadata Tracking
- Session Segmentation
Purpose of Tool
Monitor, debug, and improve LLM applications
Compatibility
Web-Based
Pricing
Free Plan + Paid Tiers
Who is Best for Using Helicone?
- LLM Developers: Gain full visibility into your AI app behavior, including prompt tracking, latency metrics, and session performance instantly.
- AI Startups: Optimize LLM outputs, debug errors faster, and monitor real-time usage patterns without building internal observability tools.
- Enterprise Teams: Scale AI products safely by maintaining rigorous monitoring, alerting, and performance auditing at every interaction point.
- AI Researchers: Evaluate model behaviors, experiment with prompt strategies, and fine-tune applications based on granular feedback.
Request Monitoring and Logging
User and Session Segmentation
Metadata and API Call Tracking
Prompt Playground for Testing
Real-Time Error Debugging
Performance Analytics (Latency, Errors, Token Usage)
Evaluator Tools for Scoring Outputs
Dataset Integration for Training and Testing
Seamless Integration with Major LLM Providers
Experimentation and A/B Testing Support
Is Helicone Free?
Helicone offers a free plan with core monitoring features suitable for smaller projects and testing. Larger teams and enterprises can upgrade to paid tiers for enhanced analytics, higher API quotas, advanced dataset management, and priority support. The paid plans start from $20/seat per month.
Helicone Pros & Cons
Comprehensive LLM observability without heavy setup
Clean, developer-focused dashboard and UX
Easy integration with OpenAI, Anthropic, and more
Great for debugging prompts, sessions, and latency issues
Supports team collaboration on AI projects
Some advanced features are gated behind paid plans
Focused primarily on LLMs, not general app observability
May require onboarding time for non-technical users
Limited offline data export options currently
