Vision
Collection of VergingAI Agent Skills
npx -y skills add verging-ai/agent-skills --skill visionAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
3.6 KB, 883 tokens by cl100k_base, as published. Nobody here has run it
AI Vision Analysis — verging.ai
Analyze images using GPT-4o Vision through the verging.ai proxy API. Supports both image URL and file upload.
Authentication
All requests require an API key in the Authorization header:
Authorization: ApiKey vrg_sk_xxx
Replace vrg_sk_xxx with your verging.ai API key. You can generate one at https://verging.ai under your account settings.
Endpoints
Option A — Image URL (JSON)
POST https://verging.ai/api/v1/ai/vision
Content-Type: application/json
Option B — File Upload (multipart)
POST https://verging.ai/api/v1/ai/vision/upload
Content-Type: multipart/form-data
Parameters
JSON (URL mode)
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| prompt | string | Yes | — | Analysis instruction / question |
| image_url | string | Yes | — | URL of the image to analyze |
| model | string | No | gpt-4o | Vision model |
| max_tokens | int | No | 1024 | Maximum tokens in the response |
Multipart (file upload mode)
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| prompt | string | Yes | — | Analysis instruction / question |
| file | file | Yes | — | Image file to analyze |
| model | string | No | gpt-4o | Vision model |
| max_tokens | int | No | 1024 | Maximum tokens in the response |
Requires a minimum balance of 5 credits before calling (post-deduct billing).
Examples
Image URL
curl -X POST https://verging.ai/api/v1/ai/vision \
-H "Authorization: ApiKey vrg_sk_xxx" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Describe what you see in this image in detail.",
"image_url": "https://example.com/photo.jpg",
"max_tokens": 512
}'
File Upload
curl -X POST https://verging.ai/api/v1/ai/vision/upload \
-H "Authorization: ApiKey vrg_sk_xxx" \
-F "prompt=What objects are in this image?" \
-F "[email protected]"
Response
{
"content": "The image shows a modern office space with several desks...",
"usage": {
"prompt_tokens": 1100,
"completion_tokens": 95,
"total_tokens": 1195
},
"credits_consumed": 2
}
content— The analysis result text.usage— Token usage breakdown.credits_consumed— Credits deducted for this request.
Credits
| Component | Rate |
|---|---|
| Base fee | 2 credits |
| Input tokens | 1 credit / 10K tokens |
| Output tokens | 3 credits / 10K tokens |
Minimum charge: 2 credits per request.
Error Codes
| HTTP Status | Error Code | Description |
|---|---|---|
| 402 | 40001 | Insufficient credits (minimum 5 required) |
| 429 | — | Rate limit exceeded (check X-RateLimit-Reset) |
| 502 | — | Upstream provider error |
| 503 | — | Service unavailable or upstream timeout |
Error response format:
{
"error_code": 40001,
"message": "Insufficient credits. Required: 5, available: 2",
"upstream_error": null
}
What ships with it: 1 file
1.4 KB alongside SKILL.md
- README.md1.4 KB