Helicone

Helicone is an open-source framework designed for large language model (LLM) observability and monitoring. It provides developers with the tools needed to efficiently track, debug, and optimize LLM applications. Key features include sessions for tracking multi-step agent workflows, allowing for detailed performance monitoring and troubleshooting across complex workflows. Helicone also supports prompt versioning and experimentation, enabling teams to test and compare different prompt configurations to optimize model behavior.

The platform offers both self-hosted and gateway deployment options, giving teams flexibility in how they manage their observability efforts. This flexibility is particularly beneficial for organizations that require control over their deployment environment. Additionally, Helicone supports both text and image inputs/outputs, making it suitable for teams working with diverse data types beyond text.

Helicone's capabilities extend to custom properties for user segmentation, allowing teams to track performance and gather insights from different user groups. This level of granularity helps improve LLM observability and ensures that model behavior is understood in context. By integrating Helicone with other AI platforms, developers can enhance their LLM infrastructure with built-in observability and real-time cost and usage monitoring, making it a valuable tool for optimizing AI applications.