openrouter/router/vision

from openai import OpenAI
import os

client = OpenAI(
    base_url="https://fal.run/openrouter/router/openai/v1",
    api_key="not-needed",
    default_headers={
        "Authorization": f"Key {os.environ['FAL_KEY']}",
    },
)

response = client.chat.completions.create(
    model="google/gemini-2.5-flash",
    messages=[
        {
            "role": "system",
            "content": "Only answer the question, do not provide any additional information or add any prefix/suffix other than the answer of the original question. Don't use markdown.",
        },
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "Caption this image for a text-to-image model with as much detail as possible."},
                {
                    "type": "image_url",
                    "image_url": "https://fal.media/files/tiger/4Ew1xYW6oZCs6STQVC7V8_86440216d0fe42e4b826d03a2121468e.jpg",
                },
            ],
        },
    ],
    temperature=1,
)

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

from openai import OpenAI
import os

client = OpenAI(
    base_url="https://fal.run/openrouter/router/openai/v1",
    api_key="not-needed",
    default_headers={
        "Authorization": f"Key {os.environ['FAL_KEY']}",
    },
)

stream = client.chat.completions.create(
    model="google/gemini-2.5-flash",
    messages=[
        {
            "role": "system",
            "content": "Only answer the question, do not provide any additional information or add any prefix/suffix other than the answer of the original question. Don't use markdown.",
        },
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "Caption this image for a text-to-image model with as much detail as possible."},
                {
                    "type": "image_url",
                    "image_url": "https://fal.media/files/tiger/4Ew1xYW6oZCs6STQVC7V8_86440216d0fe42e4b826d03a2121468e.jpg",
                },
            ],
        },
    ],
    temperature=1,
    stream=True,
)

for chunk in stream:
    if chunk.choices and chunk.choices[0].delta:
        print(chunk.choices[0].delta.content, end="", flush=True)