Helicone

Helicone is a comprehensive, open-source platform designed for developers and companies building applications with Large Language Models (LLMs). It combines an AI Gateway with an LLM Observability layer, providing a full suite of tools to manage, monitor, and optimize AI-powered products. By acting as a proxy between your application and various LLM providers, Helicone enables you to build more robust, scalable, and cost-effective AI solutions with minimal integration effort.

How to use Helicone

Integrating Helicone is straightforward. Developers can start by routing their existing LLM API calls through the Helicone proxy with a single line of code change. Once integrated, all requests are automatically logged and available for analysis on the Helicone dashboard. From there, you can monitor costs, track performance, debug issues, and manage user sessions. For more advanced control, you can leverage the AI Gateway to implement features like caching to reduce costs, rate limiting to prevent abuse, and automatic failover for improved reliability.

Core Features of Helicone

• AI Gateway: A unified API to access over 100 LLM models from various providers. It includes features like intelligent caching, rate limiting, automatic failover, and smart load balancing.
• LLM Observability: Provides deep insights into your application's performance with comprehensive logging, cost tracking, performance metrics, user analytics, and session tracing for debugging complex workflows.
• Prompt Management: A collaborative workspace to create, version, test, and instantly deploy prompts without needing to change your application's code.
• Testing & Experimentation: A framework to run experiments, evaluate different prompts or models against production data, and use evaluators like LLM-as-a-judge to ensure quality.
• Open-Source & Self-Hosting: Offers a fully open-source solution that can be self-hosted on your own infrastructure for complete data sovereignty and security compliance.

Use Cases for Helicone

Helicone is ideal for teams building production-grade AI applications. Common use cases include managing multi-model LLM deployments to leverage the best model for each task, optimizing LLM costs and latency through caching and efficient routing, debugging complex AI agent interactions with session tracing, and ensuring high reliability and scalability for AI services. It is also invaluable for collaborative prompt engineering and running systematic A/B tests on prompts and models before deployment.

Advantages of Helicone

The primary advantage of Helicone is its dual offering of a powerful AI Gateway and a comprehensive Observability platform in one open-source package. This simplifies the LLM stack for developers. Its one-line integration makes it easy to adopt. The platform is built for scale, supports a vast range of models, and offers flexible, usage-based pricing that is cost-effective. The option for self-hosting provides maximum control and security for enterprises.

Pricing and Plans

Helicone offers a tiered pricing structure designed to scale with your needs:

• Hobby Plan: Free. Includes 10,000 free requests per month, access to the dashboard, and community support. Ideal for kickstarting personal AI projects.
• Pro Plan: Starts at $20 per seat/month. Includes everything in the Hobby plan, allows scaling beyond 10,000 requests, provides core observability features, and standard support. Usage-based pricing applies for additional logs.
• Team Plan: Starts at $200 per month. Includes everything in the Pro plan, unlimited seats, prompt management, SOC-2 & HIPAA compliance, and a dedicated Slack channel for support.
• Enterprise Plan: Custom pricing. Offers a custom-built package with everything in the Team plan, plus features like SAML SSO, on-premise deployment, and bulk cloud discounts.