Vision

Python

import anthropic

client = anthropic.Anthropic(api_key="your-api-key", base_url="https://aisupermarket.work")

# Use an image URL
response = client.messages.create(
    model="claude-opus-4-7",
    max_tokens=1024,
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "image",
                    "source": {"type": "url", "url": "https://example.com/image.jpg"},
                },
                {"type": "text", "text": "Please describe this image"},
            ],
        }
    ],
)
print(response.content[0].text)

JavaScript

import Anthropic from "@anthropic-ai/sdk";

const client = new Anthropic({ apiKey: "your-api-key", baseURL: "https://aisupermarket.work" });

const response = await client.messages.create({
  model: "claude-opus-4-7",
  max_tokens: 1024,
  messages: [
    {
      role: "user",
      content: [
        {
          type: "image",
          source: { type: "url", url: "https://example.com/image.jpg" },
        },
        { type: "text", text: "Please describe this image" },
      ],
    },
  ],
});
console.log(response.content[0].text);

curl

curl https://aisupermarket.work/v1/messages \
  -H "x-api-key: your-api-key" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{
    "model": "claude-opus-4-7",
    "max_tokens": 1024,
    "messages": [{
      "role": "user",
      "content": [
        {"type": "image", "source": {"type": "url", "url": "https://example.com/image.jpg"}},
        {"type": "text", "text": "Please describe this image"}
      ]
    }]
  }'

Base64 Images

Python

import anthropic
import base64

client = anthropic.Anthropic(api_key="your-api-key", base_url="https://aisupermarket.work")

with open("image.jpg", "rb") as f:
    image_data = base64.b64encode(f.read()).decode("utf-8")

response = client.messages.create(
    model="claude-opus-4-7",
    max_tokens=1024,
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "image",
                    "source": {
                        "type": "base64",
                        "media_type": "image/jpeg",
                        "data": image_data
                    },
                },
                {"type": "text", "text": "What is in this image?"},
            ],
        }
    ],
)
print(response.content[0].text)

JavaScript

import Anthropic from "@anthropic-ai/sdk";
import fs from "fs";

const client = new Anthropic({ apiKey: "your-api-key", baseURL: "https://aisupermarket.work" });

const imageData = fs.readFileSync("image.jpg").toString("base64");

const response = await client.messages.create({
  model: "claude-opus-4-7",
  max_tokens: 1024,
  messages: [
    {
      role: "user",
      content: [
        {
          type: "image",
          source: { type: "base64", media_type: "image/jpeg", data: imageData },
        },
        { type: "text", text: "What is in this image?" },
      ],
    },
  ],
});
console.log(response.content[0].text);

curl

IMAGE_DATA=$(base64 -w 0 image.jpg)

curl https://aisupermarket.work/v1/messages \
  -H "x-api-key: your-api-key" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d "{
    \"model\": \"claude-opus-4-7\",
    \"max_tokens\": 1024,
    \"messages\": [{
      \"role\": \"user\",
      \"content\": [
        {\"type\": \"image\", \"source\": {\"type\": \"base64\", \"media_type\": \"image/jpeg\", \"data\": \"$IMAGE_DATA\"}},
        {\"type\": \"text\", \"text\": \"What is in this image?\"}
      ]
    }]
  }"

Compare Multiple Images

Python

import anthropic

client = anthropic.Anthropic(api_key="your-api-key", base_url="https://aisupermarket.work")

response = client.messages.create(
    model="claude-opus-4-7",
    max_tokens=1024,
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "image", "source": {"type": "url", "url": "https://example.com/img1.jpg"}},
                {"type": "image", "source": {"type": "url", "url": "https://example.com/img2.jpg"}},
                {"type": "text", "text": "Compare the differences between these two images"},
            ],
        }
    ],
)
print(response.content[0].text)

JavaScript

import Anthropic from "@anthropic-ai/sdk";

const client = new Anthropic({ apiKey: "your-api-key", baseURL: "https://aisupermarket.work" });

const response = await client.messages.create({
  model: "claude-opus-4-7",
  max_tokens: 1024,
  messages: [
    {
      role: "user",
      content: [
        { type: "image", source: { type: "url", url: "https://example.com/img1.jpg" } },
        { type: "image", source: { type: "url", url: "https://example.com/img2.jpg" } },
        { type: "text", text: "Compare the differences between these two images" },
      ],
    },
  ],
});
console.log(response.content[0].text);

curl

curl https://aisupermarket.work/v1/messages \
  -H "x-api-key: your-api-key" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{
    "model": "claude-opus-4-7",
    "max_tokens": 1024,
    "messages": [{
      "role": "user",
      "content": [
        {"type": "image", "source": {"type": "url", "url": "https://example.com/img1.jpg"}},
        {"type": "image", "source": {"type": "url", "url": "https://example.com/img2.jpg"}},
        {"type": "text", "text": "Compare the differences between these two images"}
      ]
    }]
  }'

Supported formats: JPEG, PNG, GIF, WEBP. Each image can be up to 5 MB.