aliyun-qwen-generation

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Use when generating or reasoning over text with Alibaba Cloud Model Studio Qwen flagship text models (`qwen3-max`, `qwen3.5-plus`, `qwen3.5-flash`, snapshots, and compatible open-source variants). Use when building chat, agent, tool-calling, or long-context text generation workflows on Model Studio.

2installs

Sourcecinience/alicloud-skills

Added on2026-04-02

NPX Install

npx skill4agent add cinience/alicloud-skills aliyun-qwen-generation

SKILL.md Content

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Category: provider

Model Studio Qwen Text Generation

Validation

bash

mkdir -p output/aliyun-qwen-generation
python -m py_compile skills/ai/text/aliyun-qwen-generation/scripts/prepare_generation_request.py && echo "py_compile_ok" > output/aliyun-qwen-generation/validate.txt

Pass criteria: command exits 0 and

output/aliyun-qwen-generation/validate.txt

is generated.

Output And Evidence

Save prompt templates, normalized request payloads, and response summaries under
```
output/aliyun-qwen-generation/
```
.
Keep one reproducible request example with model name, region, and key parameters.

Use this skill for general text generation, reasoning, tool-calling, and long-context chat on Alibaba Cloud Model Studio.

Critical model names

Prefer the current flagship families:

```
qwen3-max
```
```
qwen3-max-2026-01-23
```
```
qwen3.5-plus
```
```
qwen3.5-plus-2026-02-15
```
```
qwen3.5-flash
```
```
qwen3.5-flash-2026-02-23
```

Common related variants listed in the official model catalog:

```
qwen3.5-397b-a17b
```
```
qwen3.5-122b-a10b
```
```
qwen3.5-35b-a3b
```
```
qwen3.5-27b
```

Prerequisites

Install SDK in a virtual environment:

bash

python3 -m venv .venv
. .venv/bin/activate
python -m pip install dashscope

Set

DASHSCOPE_API_KEY

in your environment, or add

dashscope_api_key

to

~/.alibabacloud/credentials

.

Normalized interface (text.generate)

Request

```
messages
```
(array<object>, required): standard chat turns.
```
model
```
(string, optional): default
```
qwen3.5-plus
```
.
```
temperature
```
(number, optional)
```
top_p
```
(number, optional)
```
max_tokens
```
(int, optional)
```
enable_thinking
```
(bool, optional)
```
tools
```
(array<object>, optional)
```
response_format
```
(object, optional)
```
stream
```
(bool, optional)

Response

```
text
```
(string): assistant output.
```
finish_reason
```
(string, optional)
```
usage
```
(object, optional)
```
raw
```
(object, optional)

Quick start (OpenAI-compatible endpoint)

bash

curl -sS https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions \
  -H "Authorization: Bearer $DASHSCOPE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.5-plus",
    "messages": [
      {"role": "system", "content": "You are a concise assistant."},
      {"role": "user", "content": "Summarize why object storage helps media pipelines."}
    ],
    "stream": false
  }'

Local helper script

bash

python skills/ai/text/aliyun-qwen-generation/scripts/prepare_generation_request.py \
  --prompt "Draft a concise architecture summary for a media ingestion pipeline." \
  --model qwen3.5-plus

Operational guidance

Use snapshot IDs when reproducibility matters.
Prefer
```
qwen3.5-flash
```
for lower-latency simple tasks and
```
qwen3-max
```
for harder multi-step tasks.
Keep tool schemas minimal and explicit when enabling tool calls.
For multimodal input, route to dedicated VL or Omni skills unless the task is primarily text-centric.

Output location

Default output:
```
output/aliyun-qwen-generation/requests/
```
Override base dir with
```
OUTPUT_DIR
```
.

References

```
references/sources.md
```

aliyun-qwen-generation

NPX Install

Tags

SKILL.md Content

Model Studio Qwen Text Generation

Validation

Output And Evidence

Critical model names

Prerequisites

Normalized interface (text.generate)

Request

Response

Quick start (OpenAI-compatible endpoint)

Local helper script

Operational guidance

Output location

References