LLM monitoring 3

Llog: Collaborative analytics and insights tool for LLM interactions and monitoring. Llog is a collaborative analytics and insights tool designed for LLMs. It logs end-user interactions with a single request and facilitates surfacing, sharing, and deriving insights from those logs with all business stakeholders. It's an end-to-end platform for teams to gain insights into their LLM applications post-production, offering a collaborative workspace for reviewing logs, flagging important items, and assigning tasks within the context of model outputs. Llog provides unlimited seats at any price tier and full visibility into end-user interactions, allowing users to understand what their LLM is actually saying. Insights are available within seconds using a simple API format.

LLM observability and prompt A/B testing platform. Currai is an observability and tracing platform designed for LLM applications. It helps developers move away from basic print statement debugging by tracing every prompt, token, and tool call in a single view. The platform enables monitoring production traffic, calculating costs based on processed bytes, running evaluations, and A/B testing prompt versions live without requiring any local infrastructure to run. It offers drop-in Python and TypeScript SDKs and is byte-compatible with Langfuse and OpenTelemetry, making it easy to integrate or migrate existing projects.

Cost-effective LLM API and monitoring platform for AI startups. Keywords AI is an LLM API that offers a cost-effective alternative to GPT-4 without compromising on quality. It is also a leading LLM monitoring platform for AI startups, designed to easily monitor and improve LLM applications with just 2 lines of code. It helps debug and ship reliable AI features faster, essentially acting as Datadog for LLM applications.