Helicone
AI Infrastructure & MLOps
Routing and monitoring for reliable AI apps - the LLMOps platform behind the fastest-growing AI companies.
Helicone is an open-source LLMOps platform designed to help developers build and manage reliable AI applications. The platform provides routing and monitoring capabilities for large language models, enabling teams to optimize performance and reliability across their AI infrastructure. Key features include observability tools for tracking costs and latency, agent tracing for debugging complex AI workflows, intelligent LLM routing with automatic fallbacks, and dataset management for fine-tuning models. The platform also offers cost and latency monitoring to help teams understand and optimize their AI spending. Helicone is built for developers and teams building production AI applications who need visibility into model performance, reliability, and operational costs. The open-source model allows teams to self-host or use the cloud version, providing flexibility in deployment options. The platform supports integration with multiple LLM providers, giving teams the ability to route requests intelligently based on performance metrics and fallback to alternative models when needed. This approach helps ensure application reliability while managing costs. Helicone serves companies building AI applications at scale, from startups to established organizations looking to implement robust monitoring and routing infrastructure for their language model dependencies.
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Run and deploy AI models with a cloud API
Hey HN! I'm Fabio and I built UltraContext, a simple context API for AI agents with automatic versioning. After two years building AI agents in production, I experienced firsthand how frustrating it is to manage context at scale. Storing messages, iterating system prompts, debugging behavior an
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