Helicone
Open-source platform for monitoring and debugging AI apps.
Overview
What is Helicone?
Helicone is an open-source LLM observability platform designed for monitoring, debugging, and improving AI applications. It offers features like cost tracking, agent tracing, and prompt management through a 1-line integration. It helps developers ship AI apps with confidence by providing an all-in-one platform to monitor, debug, and improve production-ready LLM applications.
What is Helicone used for?
Tags
Top Features
- Cost tracking
- Agent tracing
- Prompt management
- Request and dashboard monitoring
- Experiments and evaluations
- Caching
- Rate limits
- LLM guardrails
- LLM moderation
- Gateway fallbacks
- Retries
How to use Helicone?
Integrate Helicone with a single line of code to access cost tracking, agent tracing, prompt management, and more. Use the dashboard to monitor requests, segments, sessions, properties, and users. Improve prompts using the playground, experiments, and evaluators.
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Pros & Cons
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Use Cases
- Monitor and debug LLM application performance
- Track costs associated with LLM usage
- Manage and optimize prompts
- Improve AI agent performance through tracing
- Run experiments to evaluate different prompt strategies
- Detect critical bugs and save agent runtime
Helicone Pricing
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