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How to Use W&B Weave for Agents workflows
Practical W&B Weave guide for agents workflows grounded in the verified product description and official site.
W&B Weave is Weights & Biases' observability platform for tracing, evaluating, and improving LLM applications. Confirm live details on docs.wandb.ai/weave before production use.
Practical Agents workflows examples
Example 1
Scenario: W&B Weave — Agents workflows (pass 1). Context: W&B Weave is Weights & Biases' observability platform for tracing, evaluating, and improving LLM applications. Objective: Deliver a reviewable agents workflows result using W&B Weave. Inputs: - Verified facts from docs.wandb.ai/weave - Audience, channel, or technical constraints - Success criteria and forbidden claims - Relevant product surfaces: Agents, API Workflow: Open W&B Weave → Configure for agents workflows → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize Requirements: - Use only verified W&B Weave capabilities; do not invent features. - Confirm live details on docs.wandb.ai/weave before promising volume or pricing. - Human-review before external publish, send, billing, or compliance use. Expected output: A concrete agents workflows artifact plus a short verification checklist.
Example 2
Scenario: W&B Weave — Agents workflows (pass 2). Context: W&B Weave is Weights & Biases' observability platform for tracing, evaluating, and improving LLM applications. Objective: Deliver a reviewable agents workflows result using W&B Weave. Inputs: - Verified facts from docs.wandb.ai/weave - Audience, channel, or technical constraints - Success criteria and forbidden claims - Relevant product surfaces: Agents, API Workflow: Open W&B Weave → Configure for agents workflows → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize Requirements: - Use only verified W&B Weave capabilities; do not invent features. - Confirm live details on docs.wandb.ai/weave before promising volume or pricing. - Human-review before external publish, send, billing, or compliance use. Expected output: A concrete agents workflows artifact plus a short verification checklist.
Example 3
Scenario: W&B Weave — Agents workflows (pass 3). Context: W&B Weave is Weights & Biases' observability platform for tracing, evaluating, and improving LLM applications. Objective: Deliver a reviewable agents workflows result using W&B Weave. Inputs: - Verified facts from docs.wandb.ai/weave - Audience, channel, or technical constraints - Success criteria and forbidden claims - Relevant product surfaces: Agents, API Workflow: Open W&B Weave → Configure for agents workflows → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize Requirements: - Use only verified W&B Weave capabilities; do not invent features. - Confirm live details on docs.wandb.ai/weave before promising volume or pricing. - Human-review before external publish, send, billing, or compliance use. Expected output: A concrete agents workflows artifact plus a short verification checklist.
Example 4
Scenario: W&B Weave — Agents workflows (pass 4). Context: W&B Weave is Weights & Biases' observability platform for tracing, evaluating, and improving LLM applications. Objective: Deliver a reviewable agents workflows result using W&B Weave. Inputs: - Verified facts from docs.wandb.ai/weave - Audience, channel, or technical constraints - Success criteria and forbidden claims - Relevant product surfaces: Agents, API Workflow: Open W&B Weave → Configure for agents workflows → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize Requirements: - Use only verified W&B Weave capabilities; do not invent features. - Confirm live details on docs.wandb.ai/weave before promising volume or pricing. - Human-review before external publish, send, billing, or compliance use. Expected output: A concrete agents workflows artifact plus a short verification checklist.
Example 5
Scenario: W&B Weave — Agents workflows (pass 5). Context: W&B Weave is Weights & Biases' observability platform for tracing, evaluating, and improving LLM applications. Objective: Deliver a reviewable agents workflows result using W&B Weave. Inputs: - Verified facts from docs.wandb.ai/weave - Audience, channel, or technical constraints - Success criteria and forbidden claims - Relevant product surfaces: Agents, API Workflow: Open W&B Weave → Configure for agents workflows → Pilot with sample inputs → Review against success criteria → Iterate one axis → Finalize Requirements: - Use only verified W&B Weave capabilities; do not invent features. - Confirm live details on docs.wandb.ai/weave before promising volume or pricing. - Human-review before external publish, send, billing, or compliance use. Expected output: A concrete agents workflows artifact plus a short verification checklist.
Checklist before you ship
- Confirm the workflow stays inside verified W&B Weave capabilities
- Review outputs against docs.wandb.ai/weave when accuracy or pricing claims matter
- Keep a short verification list for any claim you would publish externally

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