Weights & Biases for AI agents

Weights & Biases tracks machine learning experiments, runs, and artifacts, used by ML teams comparing model training results across projects. Connect it once through Arc0, and your agent, or Claude, ChatGPT and Cursor, can use it through one MCP endpoint, limited to what each user approved.

Developer toolsAPI keyMCP + RESTwandb.ai
AUDIT LOG · WEIGHTS & BIASESPOLICY: acme-support
09:41:07 · claude · u_8f2read
weights_and_biases.list_runs
List Runs✓ allowed · 212ms
09:41:08 · claude · u_8f2read
weights_and_biases.get_team
Get Team✓ allowed · 164ms
EVERY WEIGHTS & BIASES CALL, ON THE RECORD
01 · USE CASES

What agents do in Weights & Biases.

01

List runs in a project

Pull recent training runs and their metrics as a read-only comparison.

02

Get a project's reports

Read saved reports summarizing experiment results and comparisons for a project.

03

List artifact types

Check what artifact types, like models or datasets, exist in a project.

02 · ACTIONS

10 Weights & Biases actions, graded by risk.

Every Weights & Biases action is tagged read, write or destructive, so one policy covers the whole app and new actions inherit the right default.

read

10

Look things up. Allowed by default.

  • weights_and_biases.get_team
    Get Team
  • weights_and_biases.list_runs
    List Runs
  • weights_and_biases.list_sweeps
    List Sweeps
  • weights_and_biases.list_reports
    List Reports
  • weights_and_biases.list_projects
    List Projects
  • weights_and_biases.get_organization
    Get Organization
  • weights_and_biases.list_automations
    List Automations
  • weights_and_biases.list_integrations
    List Integrations
  • weights_and_biases.get_current_viewer
    Get Current Viewer
  • weights_and_biases.list_artifact_types
    List Artifact Types

write

0

Create and change things. Allow, or ask the user first.

  • No write actions.

destructive

0

Delete, cancel or archive. Ask first, or deny outright.

  • No destructive actions.
03 · HOW IT WORKS

Weights & Biases in three steps.

  1. 01Your users connect Weights & BiasesThey add their Weights & Biases api key on Arc0 Connect, under your brand. It goes straight into the vault.
  2. 02You set the rulesReads run, and writes like “updates” can wait for the user to approve.
  3. 03Any agent can actYour agent calls Weights & Biases through the Arc0 SDK or MCP, and so can Claude, ChatGPT and Cursor. Every call lands on the audit log.
POLICY.TS
await arc0.policies.set('weights_and_biases', {
  read: 'allow',
  write: 'ask',        
  destructive: 'deny',  
})

# Claude Code: the same connection, one URL
$ claude mcp add --transport http arc0 \
    https://mcp.arc0.ai/u/u_8f2
04 · AUTH AND DATA

How Weights & Biases connects.

Users add their Weights & Biases api key on Arc0 Connect. It is encrypted in the vault, never shown to the model, and each user can rotate or revoke it at any time.

The same Weights & Biases connection serves your agent over MCP and your own backend over REST and the proxy, so a user connects once. How Arc0 handles credentials →

AUTH
API key
CREDENTIALS
Per-tenant encrypted vault
MODEL SEES
Results only, never credentials
AUDIT LOG
Every call, on every plan
05 · WORKS WITH

Use Weights & Biases from any agent.

Claude
ChatGPT
Cursor
Codex
VS Code
OpenAI Agents SDK
Claude Agent SDK
Vercel AI SDK
Mastra
LangGraph
07 · FAQ

Weights & Biases and Arc0, answered.

Q01

Can I use Weights & Biases with Claude, ChatGPT or Cursor?

Yes. Connect Weights & Biases to Arc0 once, then add your Arc0 MCP URL to Claude, ChatGPT, Cursor, Claude Code or any other remote-MCP client. Each assistant only gets the Weights & Biases actions you allow.

Q02

How do users connect Weights & Biases?

Users add their Weights & Biases api key on Arc0 Connect. It is encrypted in the vault, never shown to the model, and each user can rotate or revoke it at any time.

Q03

Which Weights & Biases actions can my agent take?

10 in total: 10 read, 0 write and 0 destructive. Your policies decide which of them each agent may call.

Q04

Can I make my agent read-only in Weights & Biases?

Yes. Allow read actions and deny writes in the Weights & Biases policy. Your agent can still look things up, and any write it attempts is blocked and logged.

Q05

Can my own backend call Weights & Biases too?

Yes. The same Weights & Biases connection is available over REST and through the Arc0 proxy, so your product and your agent share one connection per user.

Get started

Plug Weights & Biases into your agent.

Your users connect Weights & Biases once, under your brand. Your agent gets 10 actions behind your policies, with every call on the record.

Free to build · MCP + REST · Audit log on every plan