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.
| Helicone Review Summary | |
| Performance Score | A+ |
| Content/Output | Enterprise-Grade Monitoring |
| Interface | Clean & Developer-Friendly |
| AI Technology |
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| 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.
Helicone Key Features
| 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
Pros
- 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
Cons
- 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
FAQs
What does Helicone monitor in an LLM app?
Helicone tracks every API call, session, prompt, and user interaction with your LLM app, offering full visibility into behaviors and performance.
Is there a free version of Helicone?
Yes, Helicone offers a free plan that includes essential monitoring tools, suitable for developers, startups, and early-stage AI projects.
Which AI providers does Helicone integrate with?
Helicone supports OpenAI, Anthropic, Azure, LiteLLM, Together AI, and several others, making it easy to connect to your LLM stack.
Can I debug prompts directly within Helicone?
Yes, Helicone offers a playground for testing and refining prompts and an evaluator tool for scoring and improving model outputs
Is Helicone suitable for production-level applications?
Absolutely. Helicone provides enterprise-grade monitoring tools, making it ideal for both prototypes and production-ready AI applications.
