| name | qianwen-vision |
| description | [QianWen] Understand images and videos with Qwen vision models. TRIGGER when: user wants to analyze, describe, or extract information from images or videos, OCR text extraction, chart/table reading, visual reasoning, multi-image comparison, screenshot understanding, video comprehension, or explicitly invokes this skill by name (e.g. use qianwen-vision). DO NOT TRIGGER when: user wants to generate/create images (use qianwen-image-generation), generate videos (use qianwen-video-generation), text-only tasks without visual input, or non-Qwen vision tasks. |
| compatibility | Requires Python 3.9+ and curl. Cursor: auto-loaded. Claude Code: read this skill's SKILL.md before first use. |
Agent setup: If your agent doesn't auto-load skills (e.g. Claude Code),
see agent-compatibility.md once per session.
Qwen Vision (Image & Video Understanding)
Analyze images and videos using Qwen VL and QVQ models.
This skill is part of QianWen-AI/qianwen-ai.
Skill directory
Use this skill's internal files to execute and learn. Load reference files on demand when the default path fails or you need details.
| Location | Purpose |
|---|
scripts/analyze.py | Image/video understanding, multi-image, thinking mode |
scripts/reason.py | Visual reasoning (QVQ, chain-of-thought, streaming) |
scripts/ocr.py | OCR text extraction |
scripts/vision_lib.py | Shared helpers (base64, upload, streaming) |
references/execution-guide.md | Fallback: curl, code generation |
references/curl-examples.md | Curl for base64, multi-image, video, OCR |
references/visual-reasoning.md | QVQ and thinking mode details |
references/prompt-guide.md | Query prompt templates by task, thinking mode decision |
references/ocr.md | OCR parameters and examples |
references/sources.md | Official documentation URLs |
references/agent-compatibility.md | Agent self-check: register skills in project config for agents that don't auto-load |
Security
NEVER output any API key or credential in plaintext. Always use variable references ($DASHSCOPE_API_KEY in shell, os.environ["DASHSCOPE_API_KEY"] in Python). Any check or detection of credentials must be non-plaintext: report only status (e.g. "set" / "not set", "valid" / "invalid"), never the value. Never display contents of .env or config files that may contain secrets.
When the API key is not configured, NEVER ask the user to provide it directly. Instead, help create a .env file with a placeholder (DASHSCOPE_API_KEY=sk-your-key-here) and instruct the user to replace it with their actual key from the QianWen Console. Only write the actual key value if the user explicitly requests it.
Key Compatibility
Scripts require a standard QianWen API key (sk-...). Token Plan 团队版 keys (sk-sp-...) target a different endpoint (token-plan.cn-beijing.maas.aliyuncs.com) and do not include dedicated vision models (qwen3-vl-plus, qvq-max, qwen-vl-ocr, etc.). Standard sk- key required for vision. The scripts detect sk-sp- keys at startup and print a warning. If qianwen-ops-auth is installed, see its references/tokenplan.md for full details.
Model Selection
| Model | Use Case |
|---|
| qwen3.6-plus | Preferred — latest flagship, unified multimodal (text+image+video). Thinking on by default. Best balance of quality, speed, cost. |
| qwen3.5-plus | Unified multimodal (text+image+video). Thinking on by default. |
| qwen3.5-flash | Fast multimodal — cheaper, faster. Thinking on by default. |
| qwen3-vl-plus | High-precision — object localization (2D/3D), document/webpage parsing. |
| qwen3-vl-flash | Fast vision — lower latency, 33 languages. |
| qvq-max | Visual reasoning — chain-of-thought for math, charts. Streaming only. |
| qwen-vl-ocr | OCR — text extraction, table parsing, document scanning. |
| qwen-vl-max | Qwen2.5-VL — best-performing in 2.5 series. |
| qwen-vl-plus | Qwen2.5-VL — faster, good balance of performance and cost, 11 languages. |
- User specified a model → use directly.
- Consult the qianwen-model-selector skill when model choice depends on requirement, scenario, or pricing.
- No signal, clear task →
qwen3.6-plus. Use qwen3-vl-plus for precise localization or 3D detection.
⚠️ Important: The model list above is a point-in-time snapshot and may be outdated. Model availability
changes frequently. Always check the official model list
for the authoritative, up-to-date catalog before making model decisions.
Model details: For more information about a specific model, direct the user to its detail page: https://www.qianwenai.com/models/<model-name> (replace <model-name> with the exact model ID, e.g. qwen3.6-plus → https://www.qianwenai.com/models/qwen3.6-plus). NEVER modify or guess the model name in the URL.
Dynamic model queries: If the qianwen-model-selector skill or QianWen CLI (qianwen models info <model>) is available, use it for real-time model data. CLI requires authentication — see the qianwen-usage skill for login flow.
Execution
Prerequisites
- API Key: Check that
DASHSCOPE_API_KEY (or QIANWEN_API_KEY) is set using a non-plaintext check only (e.g. in shell:
[ -n "$DASHSCOPE_API_KEY" ]; report only "set" or "not set", never the key value). If not set: run the *
qianwen-ops-auth* skill if available; otherwise guide the user to obtain a key from QianWen Console and set it via .env file (
echo 'DASHSCOPE_API_KEY=sk-your-key-here' >> .env in project root or current directory) or environment variable. The
script searches for .env in the current working directory and the project root. Skills may be installed
independently — do not assume qianwen-ops-auth is present.
- Python 3.9+ (stdlib only, no pip install needed)
Environment Check
Before first execution, verify Python is available:
python3 --version
If python3 is not found, try python --version or py -3 --version. If Python is unavailable or below 3.9, skip to Path 2 (curl) in execution-guide.md.
Default: Run Script
Script path: Scripts are in the scripts/ subdirectory of this skill's directory (the directory containing this SKILL.md). You MUST first locate this skill's installation directory, then ALWAYS use the full absolute path to execute scripts. Do NOT assume scripts are in the current working directory. Do NOT use cd to switch directories before execution. Shared infrastructure lives in scripts/vision_lib.py.
Execution note: Run all scripts in the foreground — wait for stdout; do not background.
Discovery: Run python3 <this-skill-dir>/scripts/analyze.py --help (or reason.py, ocr.py) first to see all available arguments.
| Script | Purpose | Default Model |
|---|
scripts/analyze.py | Image understanding, multi-image, video, thinking mode, high-res | qwen3.6-plus |
scripts/reason.py | Visual reasoning with chain-of-thought, video reasoning (always streaming) | qvq-max |
scripts/ocr.py | OCR text extraction from documents, receipts, tables | qwen-vl-ocr |
Input type fields (use exactly one in --request JSON):
| Field | Use for | Example |
|---|
"image" | Single image (URL or local path) | "image": "photo.jpg" |
"images" | Multi-image comparison (array) | "images": ["a.jpg", "b.jpg"] |
"video" | Video file (URL or local path) | "video": "clip.mp4" |
"video_frames" | Video as frame array | "video_frames": ["f1.jpg", "f2.jpg"] |
⚠️ Common mistake: Do NOT use "image" for video files — use "video" instead.
python3 <this-skill-dir>/scripts/analyze.py \
--request '{"prompt":"What is in this image?","image":"https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"}' \
--output output/qianwen-vision/result.json --print-response
python3 <this-skill-dir>/scripts/analyze.py \
--request '{"prompt":"Describe what happens in this video","video":"clip.mp4"}' \
--upload-files --print-response
python3 <this-skill-dir>/scripts/reason.py \
--request '{"prompt":"Solve this math problem step by step","image":"problem.png"}' \
--print-response
python3 <this-skill-dir>/scripts/ocr.py \
--request '{"image":"invoice.jpg"}' \
--print-response
| Argument | Description |
|---|
--request '{...}' | JSON request body |
--file path.json | Load request from file |
--output path | Save response JSON to path |
--print-response | Print response to stdout |
--stream | Enable streaming (auto for thinking/QVQ) |
--upload-files | Upload local files to temp storage (for files > 7 MB) |
--schema path.json | JSON Schema for structured extraction |
Verify Result
- Exit code
0 + output contains valid JSON with choices field → success
- Non-zero exit, HTTP error, empty response, or JSON with
"code"/"message" error → fail
- Post-execution check: When
--output is used, verify the response JSON file exists and contains expected content
- MANDATORY — stderr signal check: After confirming the result, scan the command's stderr output for
[ACTION_REQUIRED] or [UPDATE_AVAILABLE]. If either signal is present, you MUST follow the instructions in Update Check below before responding to the user.
On Failure
If scripts fail, match the error output against the diagnostic table below to determine the resolution. If no match, read execution-guide.md for alternative paths: curl commands (Path 2), code generation (Path 3), and autonomous resolution (Path 5).
If Python is not available at all → skip directly to Path 2 (curl) in execution-guide.md.
| Error Pattern | Diagnosis | Resolution |
|---|
command not found: python3 | Python not on PATH | Try python or py -3; install Python 3.9+ if missing |
Python 3.9+ required | Script version check failed | Upgrade Python to 3.9+ |
SyntaxError near type hints | Python < 3.9 | Upgrade Python to 3.9+ |
QIANWEN_API_KEY/DASHSCOPE_API_KEY not found | Missing API key | Obtain key from QianWen Console; add to .env: echo 'DASHSCOPE_API_KEY=sk-...' >> .env; or run qianwen-ops-auth if available |
HTTP 401 | Invalid or mismatched key | Run qianwen-ops-auth (non-plaintext check only); verify key is valid |
SSL: CERTIFICATE_VERIFY_FAILED | SSL cert issue (proxy/corporate) | macOS: run Install Certificates.command; else set SSL_CERT_FILE env var |
URLError / ConnectionError | Network unreachable | Check internet; set HTTPS_PROXY if behind proxy |
HTTP 429 | Rate limited | Wait and retry with backoff |
HTTP 5xx | Server error | Retry with backoff |
PermissionError | Can't write output | Use --output to specify writable directory |
File Input
The API accepts: HTTP/HTTPS URL, Base64 data URI, and oss:// URL. Local file paths are NOT directly supported — scripts handle conversion automatically. Pass local paths directly; no manual upload step needed.
Large file rule: If the local file is >= 7 MB, always add --upload-files. Base64 encoding inflates size by ~33% and will exceed the 10 MB API limit. Small files (including short video clips < 7 MB) can use the default base64 path.
| Method | When to use | How |
|---|
| Online URL | File already hosted | Pass URL directly — preferred for large files |
| Base64 (default) | Local files < 7 MB (images or short video clips) | Script auto-converts to data: URI |
| Temp upload | Local files >= 7 MB | Add --upload-files flag → uploads to DashScope temp storage (oss:// URL, 48h TTL) |
Production: Default temp storage has 48h TTL and 100 QPS upload limit — not suitable for production, high-concurrency, or load-testing. To use your own OSS bucket, set QWEN_TMP_OSS_BUCKET and QWEN_TMP_OSS_REGION in .env, install pip install oss2, and provide credentials via QWEN_TMP_OSS_AK_ID / QWEN_TMP_OSS_AK_SECRET or the standard OSS_ACCESS_KEY_ID / OSS_ACCESS_KEY_SECRET. Use a RAM user with least-privilege (oss:PutObject + oss:GetObject on target bucket only). The --upload-files flag is still required for vision scripts to trigger upload. If qianwen-ops-auth is installed, see its references/custom-oss.md for the full setup guide.
Input from Other Skills
When the input file comes from another skill's output (e.g., image-gen, video-gen):
- Pass the URL directly (e.g.,
"image": "<image_url from image-gen>") — do NOT download the URL first
- Downloading and re-passing as a local path wastes bandwidth and triggers unnecessary base64 encoding or OSS upload
- All URL types are supported:
https://, oss://, data:
Thinking Mode
| Model | Thinking Default | Notes |
|---|
qwen3.6-plus | On | Latest flagship. Disable with enable_thinking: false for simple tasks. |
qwen3.5-plus / qwen3.5-flash | On | Disable with enable_thinking: false for simple tasks. |
qwen3-vl-plus / qwen3-vl-flash | Off | Enable with enable_thinking: true. |
qvq-max | Always on | Streaming output required. |
See visual-reasoning.md for details.
OCR (qwen-vl-ocr)
Optimized for text extraction. Supports multi-language, skewed images, tables, formulas. See ocr.md for parameters and examples.
Input Limits
Images: BMP/JPEG/PNG/TIFF/WEBP/HEIC. Min 10px sides, aspect ratio <= 200:1. Max 20 MB (URL, Qwen3.5) / 10 MB (others).
Videos: MP4/AVI/MKV/MOV/FLV/WMV. Duration 2s–2h (Qwen3.5) / 2s–10min (others). Max 2 GB (URL) / 10 MB (base64). fps range [0.1, 10], default 2.0.
Error Handling
| HTTP | Meaning | Action |
|---|
| 401 | Invalid or missing API key | Run qianwen-ops-auth if available; else prompt user to set key (non-plaintext check only) |
| 400 | Bad request (invalid format) | Verify messages format and image URL/format |
400 product not activated | Model/product not enabled for this account | The model has not been activated. Direct the user to enable the model then retry |
| 429 | Rate limited | Retry with exponential backoff |
| 5xx | Server error | Retry with exponential backoff |
Usage & billing: Use the qianwen-usage skill to check usage, free tier quota, and billing directly. Alternatively, the user can visit the QianWen console:
Usage Analytics |
Pay-as-you-go Billing |
Token Plan 团队版 Subscription
NEVER fabricate, guess, or construct usage/billing/console URLs. Only provide the exact links listed in this skill. If a URL is not listed here, do not invent one.
Output Location
Prefer the current working directory. Default subdirectory: ./output/qianwen-vision/.
Write prohibition: NEVER write output files into this skill's installation directory or any skills/ hierarchy. All generated content must go to output/ under the current working directory or a user-specified path.
Update Check (MANDATORY Post-Execution)
After script execution, check stderr for action signals. The script automatically detects update status and emits structured signals. You MUST act on them. This section also applies when the user explicitly asks to check for updates.
Signal: [ACTION_REQUIRED] qianwen-update-check skill is not installed
When stderr contains this signal, you MUST present the following options to the user and wait for their response before proceeding. Do NOT silently skip this.
The update-check skill is not installed. It keeps you informed about new QianWen-AI/qianwen-ai features and bug fixes.
- Install now — I'll run the install command for you
- Skip for now — do nothing this time
- Never remind me — permanently suppress this prompt
After the user responds:
- User chooses 1 → run:
npx skills add QianWen-AI/qianwen-ai --skill qianwen-update-check -y, then run: python3 <this-skill-scripts-dir>/gossamer.py --dismiss
- User chooses 2 → run:
python3 <this-skill-scripts-dir>/gossamer.py --dismiss, then continue normally
- User chooses 3 → run:
python3 <this-skill-scripts-dir>/gossamer.py --never-install, then continue normally
Signal: [UPDATE_AVAILABLE]
When stderr contains this signal, you MUST append a brief update notice to your response, including the version info and the update command shown in the stderr output.
No signal in stderr
If stderr contains neither [ACTION_REQUIRED] nor [UPDATE_AVAILABLE], no action is needed — the skill is installed and up to date (or cached within 24h).
Explicit user request
When the user explicitly asks to check for updates (e.g. "check for updates", "check version"):
- Look for
qianwen-update-check/SKILL.md in sibling skill directories.
- If found — run:
python3 <qianwen-update-check-dir>/scripts/check_update.py --print-response and report the result.
- If not found — present the install options above.
References
