Helicone / AI Gateway & LLM Observability

Helicone

3 | 467 | 0
Type:
Website
Last Updated:
2025/08/16
Description:
Helicone AI Gateway: Routing and monitoring for reliable AI apps. LLMOps platform for fast-growing AI companies.
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AI Gateway
LLMOps
AI monitoring

Overview of Helicone

Helicone: The AI Gateway for Reliable AI Applications

What is Helicone?

Helicone is an AI gateway and LLMOps platform designed to provide routing, debugging, and analysis capabilities for AI applications. It is used by fast-growing AI companies to ensure the reliability and performance of their AI-powered applications.

How to use Helicone?

Helicone offers a range of features to help you build and manage your AI applications effectively:

  • Routing: Intelligently route requests to different AI models (OpenAI, Anthropic, Azure, etc.) based on performance, cost, or other criteria.
  • Debugging: Easily debug issues in your AI applications with detailed request logging and tracing.
  • Analysis: Gain insights into the performance of your AI applications with comprehensive analytics and dashboards.

Why is Helicone important?

Helicone is crucial for ensuring the reliability and scalability of AI applications, particularly those that rely on LLMs. It helps developers:

  • Optimize performance
  • Reduce costs
  • Improve accuracy
  • Gain visibility into their AI applications

Where can I use Helicone?

Helicone can be used in various AI application scenarios, including:

  • Chatbots
  • Content generation
  • Search and recommendation
  • Data analysis

Best way to use Helicone?

  • Integrate Helicone into your existing AI application workflow.
  • Configure routing rules based on your specific needs.
  • Use the debugging tools to identify and resolve issues quickly.
  • Monitor the performance of your applications with the analytics dashboards.

Helicone supports integrations with various platforms, including OpenAI, Anthropic, Azure, LiteLLM, Anyscale, Together AI, and OpenRouter. This flexibility allows you to choose the best models for your specific use cases.

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