Helicone is a platform designed to streamline the use and management of large language models (LLMs) for developers and enterprises, offering advanced monitoring, flexibility of deployment, and support for GraphQL integration
FEATURES
💻 High-level metrics: Helicone provides meaningful insights that help you understand your applications performance in real-time.
🚀 Quick integration: Get integrated in seconds. Not days.
📈 Model usage and costs: Understand your model usage and costs.
🎥 Replay, debug, and experiment: Easily replay, debug, and experiment with your user’s sessions.
🌟 Community-driven roadmap: Helicone is building a community-driven roadmap. View and vote on issues that you would like to see implemented in Helicone.
USE CASES
📊 High-level Metrics: Helicone provides meaningful insights to understand application performance in real-time, including monitoring, model usage, and costs.
⏱️ Sub Millisecond Latency: The platform supports any model from any provider with sub-millisecond latency and query times.
🔒 Enhanced Security: Vault, Helicone’s key management solution, offers advanced encryption for provider and proxy keys, ensuring enhanced security.
🌐 OpenAI Monitoring: Helicone offers unmatched insights into OpenAI usage, providing adaptive rate-limiting, secure monitoring, and operational excellence.
🤝 Custom Support: The platform is designed to support millions of requests per second with no latency impact and offers custom properties, caching, and rate limiting.
Helicone is a platform that provides meaningful insights to monitor and manage Large-Language Model (LLM)-powered applications in real-time. It supports any provider and model, as well as fine-tuned models, and offers high-level metrics to help monitor application performance.
To log user feedback using Helicone, use the Helicone Node package or the Fetch API. For a simplified example of how to log feedback using the Helicone Node package, see docs.helicone.ai/features/advanced-usage/feedback.
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