MLflow

ZenML

Unlock the potential of ZenML integration by harnessing Python-powered tools to access pipeline data, initiate new processes, and review the evolution of your machine learning workflows.

Langfuse

Facilitate the integration of AI models with Langfuse analytics workspaces to provide insights into LLM performance metrics within specified time frames, allowing for thorough monitoring and evaluation.

MLflow Agent

Facilitates interaction with MLflow tracking servers via a user-friendly natural language interface, enabling streamlined management of machine learning experiments and models. Includes standardized features for listing models, tracking experiments, and monitoring system status.

LLM Bridge

Access various leading language model services including OpenAI, Anthropic, Google, and DeepSeek using a centralized server in a containerized environment. Tailor parameters for effortless transition between models within your applications.

MLflow Prompt Registry

Integrate MLflow's Prompt Registry with Claude Desktop to easily explore and utilize curated prompt templates that support dynamic variable replacements.