Helicone

The open-source observability platform for Generative AI.

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Overview

Helicone is an open-source observability platform designed specifically for generative AI applications. It provides tools for logging, monitoring, and debugging requests to large language models, helping developers understand and improve the performance of their AI-powered features.

✨ Key Features

  • Open-source and self-hostable
  • Request logging and monitoring
  • Cost and usage tracking
  • Custom user metrics
  • Caching for performance and cost savings
  • Alerting and notifications

🎯 Key Differentiators

  • Open-source and self-hostable
  • Focus on observability and cost tracking

Unique Value: Helicone provides an open-source and self-hostable solution for observability in generative AI applications, giving developers full control over their data and infrastructure.

🎯 Use Cases (4)

Monitoring the usage and cost of LLM APIs Debugging and troubleshooting issues with generative AI applications Analyzing user interactions with AI-powered features Optimizing the performance and cost of LLM-powered systems

✅ Best For

  • Production monitoring of GPT-based applications
  • Cost optimization for high-volume API usage
  • User analytics for AI chatbots

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Building and training custom large language models

🏆 Alternatives

Portkey PromptLayer Langfuse

As an open-source platform, Helicone offers more flexibility and transparency compared to proprietary observability solutions.

💻 Platforms

Web API Self-hosted

✅ Offline Mode Available

🔌 Integrations

OpenAI Anthropic LangChain API

🛟 Support Options

  • ✓ Email Support
  • ✓ Live Chat
  • ✓ Dedicated Support (Enterprise tier)

🔒 Compliance & Security

✓ GDPR ✓ SSO

💰 Pricing

$20.00/mo
Free Tier Available

✓ 14-day free trial

Free tier: Self-hosted open-source version is free. Cloud version has a free tier with limited requests.

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