Connect VLM Run to your AI agent

AI Tools 11 actions available

VLM Run provides multimodal agents, structured extraction, predictions, files, skills, feedback, and evaluation APIs.

We set up the connection using your own VLM Run account, with keys you control, and keep it running. Your agent picks it up and starts doing the work.

Book a setup call → See pricing
Actions

What your agent can do in VLM Run

Each one is a real action the agent can take on its own, the same things a person clicking around VLM Run could do. Read-only by default; write actions are confirmed against your policy.

  • Create Skill Create a reusable skill from exactly one uploaded zip, prompt, or chat session.
  • Discover Extraction Schemas List supported structured-extraction domains, or return the full JSON schema for one domain when domain is provided.
  • Execute Agent Start a VLM Run agent execution from an existing agent name or inline configuration over multimodal inputs. Execution may consume credits and is asynchronous by default; poll the returned ID with VLM_RUN_GET_RUN.
  • Extract Structured JSON Start structured JSON extraction from images, a document, a video, or audio using a domain, custom schema, or skill. Extraction may consume credits; document, video, and audio runs are asynchronous by default, so poll t…
  • Find Files List uploaded files or find one by file ID or MD5 hash. In list mode, use offset and limit until has_more is false.
  • Find Skills List VLM Run skills or find one exact skill by ID, name, and optional version. In list mode, continue from next_offset while has_more is true.
  • Get Run Get the current status and result of one structured-extraction prediction or agent execution; call repeatedly to poll asynchronous work.
  • List Agents Return agents available to the connected account for selection before execution.
  • List Artifacts List artifact metadata belonging to exactly one chat session or agent execution. Use offset and limit to traverse pages until has_more is false.
  • List Runs List structured-extraction predictions or agent executions for the connected account. Use offset and limit to traverse pages until has_more is false.
  • Upload File Upload a local file to VLM Run for extraction, agent input, or skill creation. Retain the returned file ID for tools that consume uploaded files.
Setup

How we connect it

  1. 1

    Connect your account

    You create a key in VLM Run, a key you create and control, and paste it in once. It lives in a secrets store on your server, not with us.

  2. 2

    Set the guardrails

    Read-only by default. You choose which write actions the agent may take, and anything outside that policy gets confirmed with you first.

  3. 3

    We keep it running

    Health checks on every connection, updates handled for you, and we watch the first week of activity to make sure the work lands.

FAQ

VLM Run questions, answered.

With a key you create and control. You paste it in once, it is stored in a secrets store on your server, permissions are scoped to the minimum the agent needs, and you can revoke it at any time.
The actions VLM Run's API allows, the same things a person clicking around the app could do. Connections start read-only by default; write actions are confirmed against the policy you set before the agent takes them.
Connections are priced per tool on top of the base plan. Some are included, some are premium. See pricing for how connection charges work.
Standard tools are ready inside 7 business days of the setup call. We test the connection end to end, walk you through how the agent uses it, and watch the first week of activity.

Ready to put VLM Run to work?

Tell us what your team runs on. We set up the connection, secure it, and your agent takes it from there.

Book a setup call → Browse all connections

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