Sandboxes

Open-source serverless cloud for AI/ML workloads, running functions, APIs, queues, sandboxes on CPUs/GPUs.

Python SDK for Beam, defining apps entirely in code with decorators and objects for container images, sandboxes, functions, endpoints, and more.

CoreWeave Managed Services: Build AI agents, applications, and models Install W&B MCP Develop AI models and ship LLM applications with the W&B platform for experiment tracking, evaluation, and observability.

Command line interface for logging in, running jobs, executing sweeps, and managing artifacts.

Programmatic access to runs, projects, artifacts, reports, teams, and related resources.

Core Python library for experiment tracking, data types, global functions, automations, and custom charts.

Python SDK for machine learning experiment tracking and model management.

Self-hosted and cloud deployment of Weights & Biases experiment tracking platform.

Python client for Weave tracing, evaluations, and trace server integration.

Python and TypeScript libraries for tracing, evaluating, and improving LLM and agent applications.

Weights & Biases MCP: W&B Weave Install W&B MCP Track, test, and improve language model apps with W&B Weave Install W&B MCP W&B Weave is an observability and evaluation platform that helps you track, evaluate, and improve your agents and LLM applications.