For an OpenAI compatible API, you can use it like below:
pyfrom openai import OpenAI client = OpenAI( base_url="https://fal.run/perceptron/isaac-01/openai/v1", api_key="N/A", default_headers={ "Authorization": f"Key {os.environ['FAL_KEY']}", } ) response_style = "box" messages = [ { "role": "user", "content": [ { "type": "image_url", "image_url": { "url": "https://storage.googleapis.com/falserverless/model_tests/perceptron/8d3aef9b-5b44-4853-8381-80c24dd24deb.webp" } } ] }, { "role": "user", "content": [ { "type": "text", "text": "Was a shot taken before the buzzer? Use the ball positioning and the shot clock to make your decision. Provide a one sentence rationale." } ] }, ] response = client.chat.completions.create( model="perceptron", messages=messages, extra_body={ "response_style": response_style, } )
Or directly use the endpoint via cURL:
bashcurl https://fal.run/perceptron/isaac-01/openai/v1/chat/completions \ -H "Authorization: Key $FAL_KEY" \ -H "Content-Type: application/json" \ -d '{"model": "perceptron", "messages": [{"role": "user", "content": [{"type": "image_url", "image_url": {"url": "https://storage.googleapis.com/falserverless/model_tests/perceptron/8d3aef9b-5b44-4853-8381-80c24dd24deb.webp" }}]}, {"role": "user", "content": [{"type": "text", "text": "Was a shot taken before the buzzer? Use the ball positioning and the shot clock to make your decision. Provide a one sentence rationale." }] }], "extra_body": {"response_style": "box"}}'