技能市场

千问AI-文本生成

@qianwen-ai/qianwen-text

使用千问模型生成文本、开展对话、编写代码、进行推理和调用函数。适用场景:用户要求与千问对话、生成文本、使用千问编写代码、使用千问函数调用,或按名称明确调用此 skill(例如,使用 qianwen-text)。不适用场景:不涉及千问的一般编程问题、使用非千问 AI 模型(OpenAI、Gemini 等)、图像/视频理解(使用 qianwen-vision)、图像/视频/音频生成。

来源:千问AI平台需要配置 API Key内容创作办公效率开发运维Apache-2.0

Qwen Text Chat (OpenAI-Compatible)

Generate text, conduct conversations, write code, and invoke tools using Qwen models through the OpenAI-compatible API.
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/text.py Default execution — chat/completions request, streaming, output save
references/execution-guide.md Fallback: curl, Python SDK, function calling, thinking mode
references/api-guide.md API supplement and full code examples
references/prompt-guide.md Prompt engineering: CO-STAR framework, CoT, few-shot, task steps
references/sources.md Official documentation URLs (manual lookup only)

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

Both PAYG (sk-ws-...; legacy sk-...) and Token Plan (sk-sp-...) keys are supported. Detect
the API key type without exposing the Key:

python3 -c "
import sys; sys.path.insert(0, 'scripts')
from qianwen_lib import detect_api_key_type
print(detect_api_key_type('scripts/qianwen_lib.py'))
"
Output Meaning
token-plan Token Plan key — use only models from the Token Plan list below.
payg Pay-as-you-go key — full model catalog available.
not-set No key configured.

For Token Plan, use an exact model from qianwen-model-selector, or consult
qianwen-ops-auth/references/tokenplan.md. If unavailable, use:

Token Plan supports only specific models — use exactly a model from the references above; do not
guess or probe model availability. For PAYG, continue below.

Model Selection

Model Use Case
qwen3.8-max Strongest flagship — 2.4T MoE, native vision-language, hybrid thinking (on by default), 1M context, built-in tools. Best for complex reasoning & coding.
qwen3.8-flash Fast Qwen3.8 — multimodal (text+image+video), hybrid thinking (on by default), 1M context. Fast, cost-effective.
qwen3.7-max Flagship agent model — 1M context, thinking mode, function calling, built-in tools, structured output.
qwen3.7-plus Recommended default — multimodal vision-language, enhanced Agent execution & coding, 1M context, thinking on by default.
qwen3.7-flash Next-gen lightweight — multimodal (text+image+video), 1M context, full features at lower cost.
qwen3.6-plus Multimodal (text+image+video), 1M context, thinking on by default, strong coding & universal recognition
qwen3.5-plus Balanced performance, cost, speed, 1M context, thinking on by default
qwen3.5-flash Fast, low-cost, 1M context
qwen3-max Legacy strongest capability, built-in tools (web search, code interpreter)
qwen-plus General purpose
qwen-turbo Cheap, low latency
qwen3-coder-next Recommended code model — best balance of quality, speed, cost; agentic coding
qwen3-coder-plus Code generation — highest quality for complex tasks
qwen3-coder-flash Code generation — fast responses, lower cost
qwq-plus Reasoning / chain-of-thought
qwen-mt-plus Machine translation — best quality, 92 languages
qwen-mt-flash Machine translation — fast, low cost, 92 languages
qwen-mt-lite Machine translation — real-time chat, fastest, 31 languages
qwen-plus-character Role-playing — character restoration, empathetic dialog
qwen-flash-character Role-playing — fast, lower cost
  1. User specified a model → use directly.
  2. Consult the qianwen-model-selector skill when model choice depends on requirement, scenario, or pricing.
  3. No signal, clear taskqwen3.7-plus (default). For strongest reasoning/coding → qwen3.8-max.

Fallback: if model-selector is unavailable, the defaults in the table above apply.

⚠️ 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-plushttps://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: Use the non-plaintext detector in Key Compatibility; do not replace it with a
    variable-presence check. If no Key is found, use qianwen-ops-auth when available or guide the user
    to configure DASHSCOPE_API_KEY/QIANWEN_API_KEY in .env. Skills may be installed independently.
  • Python 3.9+ (stdlib only, no pip install needed for script execution)

Environment Check

Before first execution, verify Python is available:

python3 --version  # must be 3.9+

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.

Execution note: Run all scripts in the foreground — wait for stdout; do not background.

Discovery: Run python3 <this-skill-dir>/scripts/text.py --help first to see all available arguments.

python3 <this-skill-dir>/scripts/text.py \
  --request '{"messages":[{"role":"user","content":"Hello!"}],"model":"qwen3.7-plus"}' \
  --output output/qianwen-text/ --print-response

For streaming (recommended for interactive use):

python3 <this-skill-dir>/scripts/text.py \
  --request '{"messages":[{"role":"user","content":"Write a poem about the sea"}],"model":"qwen3.7-plus"}' \
  --stream --print-response
Argument Description
--request '{...}' JSON request body
--file path.json Load request from file (alternative to --request)
--stream Enable streaming output
--output path Save response JSON to path (file if .json suffix, otherwise directory); use distinct filenames across calls to avoid overwriting
--print-response Print response to stdout
--model ID Override model (also settable in request JSON)

Model priority: --model CLI flag > "model" field in --request JSON > built-in default.

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
  • If agent cannot read exit codes, scan output for error patterns (Error, Traceback, 401, 403)
  • Post-execution check: When --output is used, verify the response JSON file exists and contains choices
  • 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 the script fails, 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), Python SDK 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

Quick Reference

Request Fields

Field Type Description
prompt / messages string | array User input or message list
model string Model ID (e.g. qwen3.7-plus)
system string System prompt (optional)
temperature float 0–2, controls randomness
max_tokens int Max output tokens
tools array Function definitions for tool calling
stream bool Enable streaming (recommended for interactive use)
enable_thinking bool Enable thinking mode. Model defaults apply: qwen3.8-max/qwen3.8-flash/qwen3.7-max/qwen3.7-plus/qwen3.7-flash/qwen3.6-plus/qwen3.6-flash/qwen3.5-plus/qwen3.5-flash have thinking ON by default. Only set explicitly when user requests deep thinking or needs to disable for flash models. Adds latency for real-time tasks.

Response Fields

Field Description
text Generated text content
model Model used
usage Token usage (prompt_tokens, completion_tokens)
tool_calls Function call requests (if tools used)

Advanced Features

These are API-level features supported through request parameters. All use the same chat/completions endpoint.

Feature How to Enable Notes
Structured output response_format: {"type": "json_schema", "json_schema": {...}} Force JSON output conforming to schema
Web search enable_search: true Real-time web search augmented responses
Deep thinking enable_thinking: true Extended reasoning; only when user requests it
Function calling tools: [...] Define functions for tool use
Context cache Automatic for repeated prefixes; or explicit session-based Reduces cost for repeated context
Partial mode Last message: {"role": "assistant", "content": "prefix…", "partial": true} Continue/complete a prefix
Batch inference Async batch API with JSONL input 50% cost discount

For detailed usage of each feature, see api-guide.md and sources.md.

Error Handling

Error Cause Action
401 Unauthorized Invalid or missing API key Run qianwen-ops-auth if available; else prompt user to set key (non-plaintext check only)
429 Too Many Requests Rate limit exceeded Retry with backoff
500 / 502 / 503 Server error Retry; check status page
Invalid model Model ID not found Verify model name against Model Selection table
Invalid parameter Bad request body Validate JSON and field types
TypeError: ...proxies openai SDK vs httpx incompatibility pip install --upgrade openai (>=1.55.0); or use script (pure stdlib)

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 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 for all outputs. Default subdirectory when --output is used:
./output/qianwen-text/.

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.

  1. Install now — I'll run the install command for you
  2. Skip for now — do nothing this time
  3. 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"):

  1. Look for qianwen-update-check/SKILL.md in sibling skill directories.
  2. If found — run: python3 <qianwen-update-check-dir>/scripts/check_update.py --print-response and report the result.
  3. If not found — present the install options above.

References

  • execution-guide.md — Fallback paths (curl, SDK, autonomous), function calling,
    thinking mode
  • api-guide.md — API supplementary guide with full code examples
  • sources.md — Official documentation URLs