Quickstart

curl -X POST "https://api.perceptron.inc/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $PERCEPTRON_API_KEY" \
  -d '{
  "model": "isaac-0.2-2b-preview",
  "messages": [
    { "role": "system", "content": "<hint>THINK</hint>" },
    {
      "role": "user",
      "content": [
        {"type": "image_url", "image_url": {"url": "https://raw.githubusercontent.com/perceptron-ai-inc/perceptron/main/cookbook/_shared/assets/capabilities/qna/studio_scene.webp"}},
        {"type": "text", "text": "What stands out in this scene?"}
      ]
    }
  ]
}'

from perceptron import configure, image, question

configure(
    provider="perceptron",
    model="isaac-0.2-2b-preview",
    api_key="YOUR_API_KEY",  # Get yours at platform.perceptron.inc
)

result = question(
    image("https://raw.githubusercontent.com/perceptron-ai-inc/perceptron/main/cookbook/_shared/assets/capabilities/qna/studio_scene.webp"),
    "What stands out in this scene?",
    reasoning=True,
)
print(result.text)

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",  # Get yours at platform.perceptron.inc
    base_url="https://api.perceptron.inc/v1",
)

response = client.chat.completions.create(
    model="isaac-0.2-2b-preview",
    messages=[
        {"role": "system", "content": "<hint>THINK</hint>"},
        {
            "role": "user",
            "content": [
                {"type": "image_url", "image_url": {"url": "https://raw.githubusercontent.com/perceptron-ai-inc/perceptron/main/cookbook/_shared/assets/capabilities/qna/studio_scene.webp"}},
                {"type": "text", "text": "What stands out in this scene?"}
            ],
        }
    ],
)

print(response.choices[0].message.content)