aliyun-qwen-generation

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🇺🇸

Original

English

🇨🇳

Translation

Chinese

Category: provider

Model Studio Qwen Text Generation

Model Studio Qwen 文本生成

Validation

验证

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.

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

通过条件：命令退出码为0，且成功生成

output/aliyun-qwen-generation/validate.txt

文件。

Output And Evidence

输出与证明

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.

将提示词模板、标准化请求负载和响应摘要保存至
```
output/aliyun-qwen-generation/
```
目录下。
保留一份可复现的请求示例，需包含模型名称、地域和关键参数。

本skill可用于在阿里云Model Studio上完成通用文本生成、推理、工具调用和长上下文聊天任务。

Critical model names

核心模型名称

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
```

优先选用当前旗舰系列：

```
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
```

官方模型目录中列出的常见相关变体：

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

Prerequisites

前置要求

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

~/.alibabacloud/credentials

在虚拟环境中安装SDK：

bash

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

在环境变量中设置

DASHSCOPE_API_KEY

，或者将

dashscope_api_key

添加到

~/.alibabacloud/credentials

文件中。

Normalized interface (text.generate)

标准化接口（text.generate）

Request

请求参数

```
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)

```
messages
```
(array<object>, 必填)：标准对话轮次。
```
model
```
(string, 选填)：默认值为
```
qwen3.5-plus
```
。
```
temperature
```
(number, 选填)
```
top_p
```
(number, 选填)
```
max_tokens
```
(int, 选填)
```
enable_thinking
```
(bool, 选填)
```
tools
```
(array<object>, 选填)
```
response_format
```
(object, 选填)
```
stream
```
(bool, 选填)

Response

响应参数

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

```
text
```
(string)：助手输出内容。
```
finish_reason
```
(string, 选填)
```
usage
```
(object, 选填)
```
raw
```
(object, 选填)

Quick start (OpenAI-compatible endpoint)

快速入门（OpenAI兼容端点）

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
  }'

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

本地辅助脚本

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

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

使用指南

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.

对可复现性有要求时请使用快照ID。
低延迟简单任务优先选用
```
qwen3.5-flash
```
，复杂多步骤任务优先选用
```
qwen3-max
```
。
启用工具调用时，请保持工具Schema简洁明确。
对于多模态输入，除非任务以文本为核心，否则请路由到专用的VL或Omni skill。

Output location

输出位置

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

默认输出路径：
```
output/aliyun-qwen-generation/requests/
```
可通过
```
OUTPUT_DIR
```
环境变量覆盖基础目录。

References

参考资料

```
references/sources.md
```

```
references/sources.md
```