W&B Weave GA - LLM Application Observability and Evaluation Platform

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W&B Weave GA - LLM Application Observability and Evaluation Platform

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Weights & Biases (W&B) Weave is a comprehensive LLM application observability and evaluation platform designed to help teams deliver AI applications with confidence. Weave enables teams to evaluate, monitor, and iterate on AI agents and applications with just one line of code integration. The platform provides monitoring across four key dimensions: Quality (accuracy, robustness, relevancy), Cost (token usage and estimated cost), Latency (response times and bottleneck tracking), and Safety (guardrails to protect end users). For evaluations, Weave offers visual comparisons for objective, precise model comparisons, automatic versioning of datasets, code and scorers, an interactive playground for prompt iteration with any LLM, and customizable leaderboards. The tracing and monitoring capabilities organize logs into easy-to-navigate trace trees optimized for agentic systems, supporting multi-modality tracking across text, code, documents, images and audio. Weave also supports online evaluations that score live production traces without impacting performance. For agentic AI systems, Weave provides purpose-built trace tree visualizations, integrates with leading agent frameworks including OpenAI Agents SDK and MCP protocol, and offers pre-built scorers for toxicity, hallucination detection, and content relevance, alongside custom scorer flexibility. Guardrails functionality safeguards end users and brand reputation. Weave inference also provides API and playground access to popular open-source foundation models including Llama, Qwen, DeepSeek, and MiniMax variants.

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