Chat Completions

from vlmrun.client import VLMRun
from vlmrun.client.types import AgentSkill

client = VLMRun(api_key="<VLMRUN_API_KEY>")

response = client.agent.completions.create(
    model="vlmrun-orion-1:auto",
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "Extract data from this document."},
                {"type": "file_url", "file_url": {"url": "https://example.com/invoice.pdf"}}
            ]
        }
    ],
    skills=[AgentSkill(skill_name="invoice-extraction")],
)

import { VlmRun } from "vlmrun";

const client = new VlmRun({
    apiKey: "<VLMRUN_API_KEY>",
});

const response = await client.agent.completions.create({
    model: "vlmrun-orion-1:auto",
    messages: [
        {
            role: "user",
            content: [
                { type: "text", text: "Extract data from this document." },
                { type: "file_url", file_url: { url: "https://example.com/invoice.pdf" } }
            ]
        }
    ],
    skills: [{ skillName: "invoice-extraction" }],
});

curl -X POST https://api.vlm.run/v1/openai/chat/completions \
  -H "Authorization: Bearer <VLMRUN_API_KEY>" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "vlmrun-orion-1:auto",
    "messages": [
      {
        "role": "user",
        "content": [
          {"type": "text", "text": "Extract data from this document."},
          {"type": "file_url", "file_url": {"url": "https://example.com/invoice.pdf"}}
        ]
      }
    ],
    "skills": [{"skill_name": "invoice-extraction"}]
  }'

from pathlib import Path
from vlmrun.client import VLMRun
from vlmrun.client.types import AgentSkill

client = VLMRun(api_key="<VLMRUN_API_KEY>")

# Build an inline AgentSkill from a local skill directory
skill = AgentSkill.from_directory(Path("./my-skill"))

response = client.agent.completions.create(
    model="vlmrun-orion-1:auto",
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "Extract data from this invoice."},
                {"type": "file_url", "file_url": {"url": "https://example.com/invoice.pdf"}}
            ]
        }
    ],
    skills=[skill],
)

curl -X POST https://api.vlm.run/v1/openai/chat/completions \
  -H "Authorization: Bearer <VLMRUN_API_KEY>" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "vlmrun-orion-1:auto",
    "messages": [
      {
        "role": "user",
        "content": [
          {"type": "text", "text": "Extract data from this invoice."},
          {"type": "file_url", "file_url": {"url": "https://example.com/invoice.pdf"}}
        ]
      }
    ],
    "skills": [{
      "type": "inline",
      "name": "invoice-extraction",
      "description": "Extract structured data from invoices",
      "source": {
        "type": "base64",
        "media_type": "application/zip",
        "data": "<base64-encoded-zip>"
      }
    }]
  }'