• DATA
  • WEIGHTS
  • LOGS
  • HUMAN

How to audit model artifacts with your AI

Connect your agent to Weights & Biases to track down the exact files used in your experiments. Once connected, your AI can pull metadata for any specific run or project.

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Short answer

How can I audit model artifacts with my AI?

Your AI agent uses Weights & Biases to locate specific versions of datasets and model weights. It pulls the metadata you need to verify the exact files used in a research run.

Audit outcomes.

Where your data lands.

The AI handles the search, leaving you with the specific files you need.

DATA

Version tracking

The AI identifies the exact dataset version tied to a specific run. You get the precise file path or identifier.

WEIGHTS

Model weight retrieval

Your agent finds the specific weights used during training. This ensures you aren't guessing which checkpoint is which.

LOGS

Artifact metadata

The AI pulls the metadata associated with an artifact. You see the size, type, and creation timestamp for every file.

HUMAN

Manual verification

The AI provides the list of files, but you decide which ones to download or use for your next training run.

The workflow

What your AI does when the request arrives.

The agent acts as a bridge between your chat interface and your experiment logs.

  1. Identify the project

    The agent looks up the target project to narrow down the search space for artifacts.

    list_project_artifacts

  2. Scan for artifacts

    The AI crawls the project to find all registered datasets, models, and weights.

    list_project_artifacts

  3. Filter by version

    Your agent compares the requested run ID against the available artifact versions to find a match.

    list_project_artifacts

  4. Report findings

    The AI presents a clean list of the specific files, versions, and metadata you asked for.

    list_project_artifacts

Try it

Copy these to start.

Use these prompts to begin your audit.

Starting points

Swap out the project names and run IDs with your actual Weights & Biases identifiers.

Weights & Biases Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_I1Yu40vJsqaxsdrmMLW0Zf84kGzji4jYFvnrqvBH/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Weights & Biases capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "weights-biases-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_I1Yu40vJsqaxsdrmMLW0Zf84kGzji4jYFvnrqvBH/mcp"
    }
  }
}
Copy into chat04

  • List all the model weight artifacts in my 'transformer-v2' project.

  • Which version of the 'imagenet-subset' dataset was used in the last run of the 'resnet-training' project?

  • Find the specific model weights used in the run with ID 'abc123def'.

  • Show me all artifacts in the 'nlp-research' project that were created last Tuesday.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Weights & Biases once, then ask.

Just click the link to connect your account. Your credentials stay encrypted, and you can start asking questions immediately in your preferred AI client.

Connect Weights & Biases to your AI

FAQ

How this task behaves.

  • 01

    Can the AI delete artifacts from my project?

    No. The AI can only read and list artifacts. It cannot delete or modify any data in Weights & Biases.

  • 02

    Can the AI download the weights directly to my local machine?

    No. The AI retrieves the metadata and file paths, but you must handle the actual file downloads yourself.

  • 03

    Does the AI need my Weights & Biases API key?

    Yes, but you provide it through the secure Vinkius connection, not directly to the AI model.

  • 04

    Can I ask about artifacts in a different project?

    Yes, as long as you specify the project name in your prompt.

  • 05

    Can the AI create new artifacts?

    No. This specific capability is limited to identifying and retrieving existing artifacts.

  • More questions about Weights & Biases? The Connector page answers them. See everything the Weights & Biases Connector can do

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