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VLM Run
11 tools · AI Document Extraction · AI Models · AI Agents
VLM Run provides multimodal agents, structured extraction, predictions, files, skills, feedback, and evaluation APIs.
Connect VLM Run
- Open Slashspace and go to Settings, then Connectors.
- On Discover, search for VLM Run and click Connect.
- Sign in to VLM Run in your browser. Slashspace updates when the account is connected.
- Then ask for what you need in any Agent mode chat. VLM Run is on in every chat unless you switch it off.
What your chats can do
11 tools from VLM Run.
- Create SkillCreate a reusable skill from exactly one uploaded zip, prompt, or chat session.
- Discover Extraction SchemasList supported structured-extraction domains, or return the full JSON schema for one domain when domain is provided.
- Execute AgentStart 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 JSONStart 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 the returned prediction ID with VLM_RUN_GET_RUN.
- Find FilesList uploaded files or find one by file ID or MD5 hash. In list mode, use offset and limit until has_more is false.
- Find SkillsList 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 RunGet the current status and result of one structured-extraction prediction or agent execution; call repeatedly to poll asynchronous work.
