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Helicone

All-in-One Platform for Monitoring, Debugging, and Optimizing LLM Applications

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About Helicone

Helicone is a comprehensive platform designed to help developers and teams manage large language model (LLM) applications throughout their lifecycle.

It enables real-time logging of requests, prompt evaluation, and experimentation with production traffic, ensuring your LLM-powered applications run efficiently and reliably.

Helicone integrates with major providers like OpenAI, Anthropic, and Azure, allowing users to monitor application performance, detect bottlenecks, and implement improvemen...

Key Features

8 features
  • Real-Time Logging: Access detailed logs and debug LLM interactions with ease.
  • Prompt Evaluation: Experiment with prompt variations in live traffic without modifying code.
  • Experiments: Optimize app performance by quantifying the impact of prompt changes.
  • User Tracking: Monitor usage patterns, request volumes, and associated costs per user.
  • Alert System: Receive real-time notifications for performance issues via Slack or email.
  • Caching: Reduce latency and costs with edge caching for LLM calls.
  • Integrations: Seamless integration with OpenAI, Anthropic, Azure, Langchain, and more.
  • Open-Source Flexibility: Host on cloud or deploy on-premise with production-ready configurations.

Use Cases

5 use cases
  • Monitoring and debugging multi-step LLM interactions in production environments.
  • Experimenting with prompt variations and model parameters to improve app performance.
  • Tracking performance metrics and user interactions to optimize LLM applications.
  • Detecting and addressing issues like hallucinations or model misuse in real-time.
  • Managing cost analysis and optimizing LLM app usage effectively.

Other Features

  • Open Source
  • API
  • Discord Community
Added December 31, 2022
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