Weights & Biases Weave
Monitor and analyze AI agents and multi-turn systems in production environments
- Also known as
- weights-biases-weave
What is Weights & Biases Weave?
Platform for observability and analysis of production AI agent systems, featuring distributed tracing across multi-agent workflows, built-in evaluation APIs for model and prompt testing, and safety guardrails with pre-built scorers for toxicity, bias, PII detection, and hallucinations.
What Weights & Biases Weave does
The capabilities that matter for llm observability, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Architecture model
- Managed cloud saas
- Token cost and latency waterfall charts
- -
- Opentelemetry openllmetry native export support
- -
- Prompt playground and in dashboard replay
- ✓
- Multi step agentic workflow distributed tracing
- ✓
- User feedback score API for thumbs up down tags
- -
- Pii redaction and prompt content masking
- ✓
- Production ab testing of system prompts
- -
- Automated anomaly detection for rate limits
- -
- Native integration with langchain and llamaindex
- ✓
- SOC2 type ii
- -
- Mit or apache permissive oss license
- -
- Pricing model
- -
Platform & deployment
Independently observed- iOS
- Web
- Cloud / SaaS
- Self-hosted
Integrations (14)
Independently observed- Slack
- LangChain
- LlamaIndex
- CrowdStrike Falcon AIDR
- OpenPI
- CoreWeave
- NVIDIA
- JAX
- PyTorch
- OpenAI GPT-5.6
- OpenAI GPT-5.5
- Zhipu GLM-5.2
- Alibaba Kimi 2.7
- Anthropic Claude Opus 4.8
Weights & Biases Weave alternatives
Other llm observability we track, ranked by the same independent score.
- TraceloopContinuous evaluation and monitoring platform for LLM applications that catches quality issues before productionmedium · 54%
- LunaryMonitor and optimize AI applications in productionhigh · 75%
- AgentOpsPlatform for monitoring, debugging, and deploying production-ready AI agentsmedium · 55%
- Arize Phoenixlow · 18%
- OpikMonitoring and evaluation tools for AI agent applicationslow · 36%
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Weights & Biases Weave, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Capabilities | 67 | 0.05 | 3.3 | ✓ |
| Integrations | 34 | 0.04 | 1.4 | ✓ |
| Price level | 0 | 0.05 | 0.0 | - |
| Reliability | 0 | 0.07 | 0.0 | - |
| Security posture | 0 | 0.07 | 0.0 | - |
| Pricing transparency | 0 | 0.08 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Architecture model: managed_cloud_saas · Pii redaction and prompt content masking: Yes · Prompt playground and in dashboard replay: Yes · Multi step agentic workflow distributed tracing: Yes · Native integration with langchain and llamaindex: Yes | mediumsource · 2026-08-21 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 14 | mediumsource · 2026-08-21 · 60% |
Pricing
| Attribute | Value | Evidence |
|---|---|---|
| Model | commercial | mediumsource · 2026-08-21 · 60% |