LLM observability 5

Open-source LLM observability platform for monitoring, debugging, and improving AI apps. 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.

Platform for prompt engineering, management, evaluation, and LLM observability. PromptLayer is a platform designed to track and manage GPT prompt engineering. It acts as middleware between your code and OpenAI's Python library, recording all OpenAI API requests. This allows users to search and explore request history in the PromptLayer dashboard. It provides tools for prompt management, evaluation, LLM observability, team collaboration, and improving prompt quality.

All-in-one LLM evaluation platform for testing, benchmarking, and improving LLM application performance. Confident AI is an all-in-one LLM evaluation platform built by the creators of DeepEval. It offers 14+ metrics to run LLM experiments, manage datasets, monitor performance, and integrate human feedback to automatically improve LLM applications. It works with DeepEval, an open-source framework, and supports any use case. Engineering teams use Confident AI to benchmark, safeguard, and improve LLM applications with best-in-class metrics and tracing. It provides an opinionated solution to curate datasets, align metrics, and automate LLM testing with tracing, helping teams save time, cut inference costs, and convince stakeholders of AI system improvements.

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.