Learn more
For more information or if you need help retrieving your data, please contact Weights & Biases Customer Support at support@wandb.com
AGENTS
Observability tools for building autonomous AI systems that perform multi-step tasks
W&B Weave provides the tools you need to evaluate, monitor, and iterate on agentic AI systems during both development and production. With traces, scorers, guardrails, and a registry, you can confidently build and manage safe, high-quality agents and agentic workflows.
Evaluations
Agentic systems are complex and involve many different components, making eval metrics more difficult to build and track. Weave evaluates agents quickly using pre-built, third-party, or homegrown scorers, increasing iteration velocity.
Debugger
Agents organize their tasks into sequences of steps, each performing a variety of actions such as calling tools, reflecting on outputs, and retrieving relevant data. Debugging and iterating on these complex rollouts can be challenging with traditional call-stack views. Weave clearly visualizes complex agent rollouts to accelerate the iteration process.
Guardrails
Since LLMs are non-deterministic, you need the ability to modify agent inputs and outputs when harmful, inappropriate, or off-brand content is detected. Weave enables real-time adjustments to agent behavior to mitigate the impact of hallucinations and prompt attacks.
Integrations
New agent frameworks are coming to market rapidly, making it difficult to keep up. Through integrations with popular frameworks such as CrewAI and OpenAI Agents SKD, Weave helps you stay future-proof, ensuring your agents won’t become obsolete as new frameworks emerge.
Agent protocols
Tracing interactions between agents and tools they use can be messy. Weave cuts through the chaos—auto-logging Model Context Protocol (MCP) agent traces with one line of code. And dropping soon: plug-and-play tracing support for Google’s Agent2Agent (A2A) protocol, so you can spend less time instrumenting and more time building.
Learn how our MCP integration works
Governance
For compliance and audits, developers need the ability to rebuild specific agent versions and configurations and reproduce events arising in production. Weights & Biases acts as a system of record and allows AI developers to reproduce any task in the agent lifecycle by providing code, dataset, and metadata versioning and lineage tracking.
Explore Weights & Biases
Learn more about Weave
- Traces: Debug agents and AI applications
- Evaluations: Rigorous evaluations of agentic AI systems
- Playground: Explore prompts and models
- Agents: Observability tools for agentic systems
- Guardrails: Block prompt attacks and harmful outputs
- Monitors: Continuously improve in prod
- Models: Build and manage AI models
- Inference: Explore hosted, open-source LLMs
- Training: Fine-tune with serverless RL
- Core: Optimize AI workloads
The Weights & Biases platform helps you streamline your workflow from end to end
Models
Experiments
Track and visualize your ML experiments
Sweeps
Optimize your hyperparameters
Registry
Publish and share your ML models and datasets
Automations
Trigger workflows automatically
Weave
Traces
Explore and debug LLMs
Evaluations
Rigorous evaluations of GenAI applications
Core
Artifacts
Version and manage your ML pipelines
Tables
Visualize and explore your ML data
Reports
Document and share your ML insights
SDK
Log ML experiments and artifacts at scale