W&B Weave

Integrations with LLM providers, agent SDKs and harnesses such as the OpenAI Agents SDK, Claude Agent SDK and Google ADK, and frameworks such as LangChain, CrewAI and LlamaIndex let Weave trace calls, and it traces activity between MCP clients and servers, while alerts go out by Slack and email. These bring trace data in and send notifications out; none connects an agent to a real system to take actions.

SourceWeights & Biases, docs.wandb.ai Weave index (integrations overview, agent integrations, MCP) and wandb.ai/site/pricingread 2026-09-21

Weave traces the customer's own multi-step and multi-agent workflows, including sub-agent delegations, and automations trigger actions from monitor metrics and trace activity. No workflows that sequence, branch or retry steps, or combine deterministic nodes with agent steps, are documented as something Weave runs.

SourceWeights & Biases, docs.wandb.ai Weave index (trace sub-agents, automations)read 2026-09-21

RAG applications can be evaluated with LLM judges, and Weave traces the context a customer's retrieval returns. No document ingestion, index, retrieval layer or knowledge API that grounds an agent in company data is documented.

SourceWeights & Biases, docs.wandb.ai Weave index (evaluate RAG applications)read 2026-09-21

Guardrails run inline scorers on a user's input or a model's output in real time, before outputs reach users, and can block or modify a response when a score crosses a threshold, with built-in and custom scorers and AWS Bedrock Guardrails as examples; every guardrail result is stored as a monitor. Annotation queues route traces to domain experts for structured feedback.

SourceWeights & Biases, docs.wandb.ai/weave/guides/evaluation/guardrails and the Weave index (annotation queues)read 2026-09-21

Users sign in with SSO through Google, GitHub or enterprise providers such as Okta and Azure Active Directory over OIDC, are organized into teams and projects with a restricted visibility scope, get role-based access at team or project level, automate with scoped service accounts, and are managed through the SCIM API; Multi-tenant Cloud and Dedicated Cloud are both SOC 2 Type II compliant with reports on the W&B Security Portal, Dedicated Cloud is HIPAA compliant, and the pricing page lists audit logs and customizable data retention.

SourceWeights & Biases, docs.wandb.ai/weave/guides/platform and wandb.ai/site/pricingread 2026-09-21

The Agents view shows conversations, turns, LLM calls, tool calls and sub-agent delegations with their cost, the trace view follows nested execution paths, calls can be filtered and exported through the Python SDK, REST API or UI, PII can be redacted from traces, and the pricing page lists audit logs and customizable data retention.

SourceWeights & Biases, docs.wandb.ai Weave index (agents view, trace tree, query and export calls, redact PII) and wandb.ai/site/weave and pricingread 2026-09-21

Conversations, threads and turns of the customer's agent are recorded, and datasets, prompts and models are versioned as tracked objects. No session, workflow or long-term memory that an agent reads and writes is documented.

SourceWeights & Biases, docs.wandb.ai Weave index (trace threads, track and version objects)read 2026-09-21

Weave runs on W&B Multi-tenant Cloud in a North America region of W&B's Google Cloud account, on W&B Dedicated Cloud on AWS, Google Cloud or Azure with data in a dedicated ClickHouse cluster in the cloud and region of the customer's choice, with IP allowlisting and private connectivity, or on Self-Managed instances the customer hosts; W&B fully manages the two cloud options.

SourceWeights & Biases, docs.wandb.ai/weave/guides/platformread 2026-09-21

W&B Skills install into a coding agent to teach it to train models, build agents and analyze experiments on the W&B platform, a packaged, ready-to-install starting point for another agent. No ready-made agents, packaged employees or deployable workflows for a buyer's own work are documented for Weave; the Claude Code, Codex and OpenClaw plugins trace sessions and are integrations, not packaged agents.

SourceWeights & Biases, docs.wandb.ai/llms.txt (W&B Skills) and the Weave index, and wandb.ai/site/weaveread 2026-09-21

Monitors passively score production traffic, built-in signals score agent turns and tag quality and safety issues as they arrive, and automations trigger actions from monitor metrics and trace activity, with Slack and email alerts on the Pro plan. Scoring and actions start on incoming traffic without a person asking.

SourceWeights & Biases, docs.wandb.ai Weave index (monitors, signals, automations) and wandb.ai/site/pricingread 2026-09-21

Weave's documentation index describes connecting OpenAI-compatible inference endpoints to a project as custom runtimes, managed from the UI or the Python and TypeScript SDKs, comparing models in the Playground and Evaluation Playground, and running open source models through W&B Serverless Inference. Customers choose models and bring their own endpoints.

SourceWeights & Biases, docs.wandb.ai Weave index (custom runtimes, Playground, Serverless Inference)read 2026-09-21

Weave publishes Python and TypeScript SDKs, a service REST API with an OpenAPI description, and an OpenTelemetry endpoint that accepts traces from any pipeline without the SDK; the W&B MCP server lets an IDE or agent query W&B data and documentation, W&B Skills teach coding agents to use the platform, and the Pro plan adds CI/CD automations.

SourceWeights & Biases, docs.wandb.ai/llms.txt and the Weave index (OpenTelemetry, query and export calls), and wandb.ai/site/pricingread 2026-09-21

Evaluations run applications against versioned datasets with built-in, local and custom scorers, including LLM judges, for single-turn and multi-turn agents; evaluations are compared side by side to spot regressions and ranked on leaderboards, monitors passively score production traffic, and the Pro plan adds CI/CD automations.

SourceWeights & Biases, docs.wandb.ai Weave index (evaluations, scorers, compare evaluations, monitors) and wandb.ai/site/weave and pricingread 2026-09-21

The Weave documentation covers tracing, evaluation, monitoring, guardrails, annotation and deployment, and no browser, desktop or computer control by an agent is documented; the CoreWeave Sandboxes listed beside Weave are isolated environments for running agents, and they execute code rather than control a browser, desktop or computer.

SourceWeights & Biases, docs.wandb.ai Weave index and wandb.ai/site/weave and pricing; wandb.ai/site/pricingread 2026-09-21