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VLM Run

The unified gateway for document, image, and video AI. Open-weight vision models behind one OpenAI-compatible API — Orion, our visual agent, sees, reasons, and acts when you need more than raw models.

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50 reach 5 · trust 5 · quality 25 · freshness 15
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listed
llms.txt
https://vlm.run/llms.txt
llms-full.txt
https://vlm.run/llms-full.txt
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Documentation: developer or product docs worth reading, nothing to call
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2026-10-25T18:12:02.199Z
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2026-10-26T11:19:09.482Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-26T11:19:01.374Z. Cached copy · Source on vlm.run

# VLM Run

> The unified gateway for document, image, and video AI. Open-weight vision models behind one OpenAI-compatible API — Orion, our visual agent, sees, reasons, and acts when you need more than raw models.

Key terms: Visual Intelligence, Vision-Language Model, VLM, Orion, Visual Agent, Document OCR, Structured Output, Visual Grounding, HIPAA, SOC 2, Computer Vision, Multimodal AI, Visual ETL, API

Get started in [Studio](https://app.vlm.run). Agents can create an account, or authorize an existing account, over HTTP. Read the [authentication runbook](https://vlm.run/auth.md), [CLI skill](https://vlm.run/SKILL.md), and [Gateway skill](https://vlm.run/gateway/SKILL.md).

## Setup for an assistant

1. Check a saved VLMRUN_API_KEY with GET https://api.vlm.run/v1/models and a bearer header. Never print the key. A 200 means setup is done. On 403, recover a key from Studio or continue signup for that email. Do not use /v1/openai/models as a credential check; it returns 200 with no key.
2. With no working key, get the human's email. POST https://prod-vlm-cloud-nfsnfpr33q-uc.a.run.app/api/v1/agent/accounts with Content-Type: application/json and {"email":"ada@example.com"}. Save the returned signup_token privately; the code expires in 10 minutes. account_status is "new" or "existing". No account is created yet.
3. If a mail tool is connected to that inbox, read vlm-verification-code from the message sent after this request. The subject is "Verify your email for VLM Run", or "Authorize AI assistant for your VLM Run account" when account_status is "existing". Do not print the code. Otherwise ask the human. Ask for first/last name when unknown, and for an explicit agreement to https://vlm.run/terms-of-service and acknowledgement of https://vlm.run/privacy before verify. Agreeing authorizes account creation or a new API key for this assistant.
4. POST https://prod-vlm-cloud-nfsnfpr33q-uc.a.run.app/api/v1/agent/accounts/verify with {"signup_token":"<saved token>","code":"849201","first_name":"Ada","last_name":"Lovelace","terms_accepted":true}. Omit names when not provided. Keep the code a string.
5. On 200, save api_key as VLMRUN_API_KEY in the approved secret store; the response also includes api_key_id, organization_id, credits_granted_dollars, account_status, and studio_url. Never paste the key or full response into chat. New accounts get $0.50 trial credit; existing accounts get a new key and 0 credits. Tell the human: no password was set; sign into Studio via "Email me a sign-in code". New accounts unlock the rest of the welcome credit after that sign-in.
6. Confirm the key with GET https://api.vlm.run/v1/models, then follow https://vlm.run/SKILL.md for Orion on images, video, and documents, or https://vlm.run/gateway/SKILL.md for parse, chat, embeddings, and transcription.

Show validation errors in the terminal. Errors use {"detail":{"code":"...","message":"..."}}. For 400 invalid_input, display detail.message and detail.field and ask for correc
…

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1. POST https://agentwebmap.com/v1/sites/vlm.run/claims and keep claim_id and claim_secret private.
2. Publish the verification line "AgentWebMap verification: <token>" (token from step 1) in https://vlm.run/llms.txt, or use the DNS, meta-tag or well-known method the response describes. This only verifies the listing; your website and domain remain yours.
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