• VERSIONING
  • DATA
  • VALIDATION
  • HUMAN

How to automate model testing with your AI

Connect Modelbit to your AI client once. From there, you can trigger inferences against specific model tags using plain text.

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Short answer

How can I automate model testing with my AI?

You pass JSON payloads to specific model versions or tags via your AI client. This lets you validate how different iterations handle your data without leaving your chat interface. You'll see the exact results for each version immediately.

Testing outcomes

What you get from every test

The AI handles the technical execution so you can focus on the results.

VERSIONING

Targeted model tags

The AI hits the exact version or tag you specify. This ensures you aren't testing against the wrong model iteration.

DATA

Automated JSON formatting

Your agent converts your natural language into the JSON required for the call. You don't have to write raw code to run a test.

VALIDATION

Direct output comparison

You get the model's response directly in your chat. This makes it easy to spot regressions or changes in behavior.

HUMAN

Final decision making

The AI runs the tests, but you decide which model version is ready for production. You maintain full control over the deployment lifecycle.

The workflow

What your AI does when a test request arrives.

Your agent acts as the interface between your instructions and the deployed model.

  1. Structure the payload

    Your agent takes your test description and turns it into a valid JSON object.

    get_inference

  2. Route to the tag

    The AI uses the model tag you provided to ensure the request goes to the right version.

    get_inference

  3. Trigger inference

    The agent executes the call to the Modelbit endpoint using the structured data.

    get_inference

  4. Deliver response

    The AI brings the model's output back to your chat window for you to review.

    get_inference

Try it

Copy these to start.

Use these prompts to run your first tests.

Starting points

Swap out the model tags and JSON objects for your own specific test cases.

Modelbit Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_U02S7R70GaoTP6dztOIIMDtmgDyuN2GTH3Or66r0/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 — Modelbit capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "modelbit-ml-model-deployments-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_U02S7R70GaoTP6dztOIIMDtmgDyuN2GTH3Or66r0/mcp"
    }
  }
}
Copy into chat04

  • Run an inference on the 'v2-beta' tag using this JSON: {"prompt": "Summarize this text"}

  • Test the 'production-stable' tag with this payload: {"input": "test_case_01"}

  • Check how the 'experimental-v3' tag handles this JSON: {"query": "extract entities"}

  • Send a test request to the 'legacy-model' tag with this data: {"text": "classify this"}

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

Start here

Connect Modelbit once, then ask.

Connect your account to give your AI access to your deployments. Your login stays encrypted on our side.

Connect Modelbit to your AI

FAQ

How testing behaves

  • 01

    Can the AI deploy new models for me?

    No. The AI can only run inferences against models that are already deployed.

  • 02

    Can I change model tags through the chat?

    No. The AI can only use existing tags to route requests; it cannot modify your Modelbit configuration.

  • 03

    Do I need to write JSON manually?

    No. Your agent handles the JSON formatting based on your natural language instructions.

  • 04

    Can the AI delete a model version?

    No. The AI only has permission to run inferences, not to manage or delete your deployments.

  • 05

    Can I test multiple tags in one go?

    Yes. You can ask your agent to run the same payload against different tags sequentially.

  • More questions about Modelbit? See everything the Modelbit Connector can do

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