langfuse/langfuse
Langfuse is an open-source LLM engineering platform for developing, monitoring, evaluating, and debugging AI applications, offering observability, prompt management, and evaluation capabilities.
Awesome Infra for AI › LLM Observability & Tracing
Agenta is a comprehensive open-source LLMOps platform that streamlines the process of building and deploying production-grade LLM applications. It provides a suite of tools for prompt management, including an interactive LLM playground for side-by-side prompt comparison, multi-model support (50+ models and custom model integration), version control for prompts and configurations with branching and environments, and support for complex configuration schemas. The platform also offers robust LLM evaluation capabilities, allowing users to systematically assess their LLM applications with both human and automated feedback. This includes flexible test set creation from production data or playground experiments, pre-built and custom evaluators (including LLM-as-judge), UI and API access for running evaluations, and integrated human feedback collection. Furthermore, Agenta provides LLM observability features to deliver insights into LLM applications in production, such as cost and performance tracking, detailed LLM tracing for debugging complex workflows, and support for open standards like OpenTelemetry, OpenLLMetry, and OpenInference. It also includes pre-built integrations for various models and frameworks, making it a holistic solution for managing the lifecycle of LLM applications from development to production.
https://github.com/Agenta-AI/agenta
Langfuse is an open-source LLM engineering platform for developing, monitoring, evaluating, and debugging AI applications, offering observability, prompt management, and evaluation capabilities.
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