Skip to main content

​
Current status

Crazyrouter does not currently expose a public generic image-hosting endpoint. Do not depend on the following endpoint: 
POST /api/upload

​
1. Use your own object storage or CDN

The best option is to upload files to your own S3 / R2 / OSS / COS / CDN bucket first, then pass the resulting public URL to Crazyrouter endpoints that support image input. Typical use cases:
  • GPT / Claude / Gemini vision
  • image editing
  • image-to-video
  • workflow tool integrations

​
2. Use model-native upload flows

Some models and upstream APIs already support multipart uploads or dedicated upload routes. Use the model-specific endpoint when available. Examples:
  • Midjourney image upload: POST /mj/submit/upload-discord-images
  • OpenAI-compatible image edits: POST /v1/images/edits
  • audio transcription: POST /v1/audio/transcriptions

​
3. Save files in your own backend first, then send URLs

If users upload local files to your app, your backend should store the file, generate a public URL, and then call Crazyrouter with that URL.

​
Example: use a public image URL for vision

from openai import OpenAI

client = OpenAI(api_key="sk-xxx", base_url="https://crazyrouter.com/v1")

response = client.chat.completions.create(
    model="gpt-5.4",
    messages=[{
        "role": "user",
        "content": [
            {"type": "text", "text": "Describe this image"},
            {"type": "image_url", "image_url": {"url": "https://example.com/photo.jpg"}}
        ]
    }]
)
print(response.choices[0].message.content)
If the image URL is not publicly reachable, the upstream model usually cannot read it.
If Crazyrouter exposes a public generic upload API again in the future, this page will be updated into a formal endpoint reference.