Tool overview
W&B Weave is listed under AI Governance Safety & Evaluation AI tools.
What is W&B Weave?
W&B Weave is an open-source toolkit and hosted platform for tracing, evaluating, monitoring, and debugging generative AI applications. It instruments Python and TypeScript code, compares model behavior, and tracks production quality, cost, and latency.
Best for
AI engineering teams evaluating and monitoring LLM applications and agents
Who is it for?
Decision note
Rebuilt from the original export under V412/V411 independent factual verification. Preview only; Apply requires Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0, reviewed explicit clears, image import disabled or V380 PASS, representative edit-screen comparison, and a zero-change post-Apply Preview.
Key features
Tracing for model, tool, and agent calls
Evaluation datasets and LLM-as-judge metrics
Production monitoring for quality, cost, and latency
Python and TypeScript SDK instrumentation
Use cases
Debug generative AI applications
Compare prompts and model versions
Evaluate RAG and agent workflows
Monitor production AI behavior
Pros
- Open-source Apache-2.0 toolkit
- Free plan and 30-day Pro trial
- Broad model and framework integrations
Cons
- Hosted ingestion beyond plan allowances is billable
- Enterprise governance requires higher tiers
- Useful evaluation design still requires domain expertise
Limitations
Pricing combines seats, storage, ingestion, and optional inference rather than one simple product price.
The open-source toolkit covers instrumentation, while managed collaboration and governance depend on W&B services.
Pricing details
Billing options
Pricing note
W&B Free includes Weave with limited monthly ingestion. Pro offers higher allowances and a 30-day trial; additional ingestion and storage are usage billed, while Enterprise is custom.
Supported languages
- English
Integrations
OpenAI
Anthropic
LangChain
LlamaIndex
Ollama and local models
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