Helicone

Helicone is an open-source platform that enhances AI observability for Large Language Model (LLM) applications. It provides real-time monitoring, logging, and tracing, allowing startups and enterprises to easily monitor their AI's performance. With features like chat history, custom properties, and caching, Helicone simplifies GPT-3 monitoring and offers user-centric development.

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Last updated on
April 30, 2024

Features of Helicone

Real-time metrics: Get insights into usage and performance in real-time, allowing you to monitor spending, analyze traffic peaks, and track latency patterns.

User management tools: Easily manage your application's users by setting limits on requests per user, identifying power users, and automatically retrying failed requests.

Tooling for LLMs: Scale your Large Language Model-powered application with features such as bucket cache, custom properties, and streaming support.

Simple integration: Effortlessly integrate Helicone with your existing setup using only 2 lines of code and choose from a wide range of packages.

Open-source: Helicone is an open-source platform, emphasizing user-centric development, community collaboration, and transparency.

Fully-managed cloud solution: Use the fully-managed cloud solution provided by Helicone or deploy your own instance on AWS with just a few clicks.

Transparent pricing: Helicone offers a free plan to get started, a Pro plan for scaling up your business, and an Enterprise plan for larger enterprises.

Benefits of Helicone

Enhanced observability: Helicone provides monitoring, logging, and tracing tools specifically designed for Large Language Model applications, allowing you to easily monitor your AI's performance in real-time.

Simplified GPT-3 monitoring: With just one line of code, you can simplify GPT-3 monitoring and replace the base URL with the SDK, making it easier to track usage, costs, and latency metrics.

Insightful overview: The Helicone dashboard provides an insightful overview of your application and its performance, allowing you to see how users are interacting with your app and how it is performing.

Centralized request view: View all of your requests in one place, filter them by date and endpoint, and see detailed information such as request body, response body, and response time.

Optimized usage: Helicone helps you optimize your usage by providing model metrics that show how much you're spending on each model and its efficiency.

Efficient Large-Language Model operations: Backed by Y Combinator and used by hundreds of organizations, Helicone makes Large-Language Model operations more efficient.

Who Helicone is useful for

Startups: Helicone provides startups with the tools to easily monitor their AI's performance in real-time, optimize usage, and simplify GPT-3 monitoring.

Enterprises: Helicone is beneficial for enterprises as it offers enhanced observability for Large Language Model applications, centralized request views, and optimized usage tracking.

Developers: Developers can benefit from Helicone's simple integration, user management tools, and tooling for LLMs, making it easier to scale and manage their AI-powered applications.

In conclusion, Helicone is an open-source platform that enhances AI observability for Large Language Model applications. With its real-time metrics, user management tools, and tooling for LLMs, Helicone simplifies monitoring, improves efficiency, and provides valuable insights for startups, enterprises, and developers.