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qianwen-text

qianwen-ai/qianwen-ai

Generate text, chat, write code, and call functions with Qwen models via OpenAI-compatible API.

What is qianwen-text?

QianWen Text Chat enables text generation, conversations, code writing, and function calling using Qwen language models through an OpenAI-compatible interface. Use this skill when you need to interact with Qwen models for chat, reasoning, or code generation tasks.

  • Generate text and conduct multi-turn conversations with Qwen models
  • Write and debug code using specialized code models (qwen3-coder-next, qwen3-coder-plus, qwen3-coder-flash)
  • Invoke tool/function calling for structured outputs and integrations
  • Support reasoning and chain-of-thought with qwq-plus model
  • Stream responses for real-time output
  • Execute via Python 3.9+ scripts or curl commands

How to install qianwen-text

npx skills add https://github.com/qianwen-ai/qianwen-ai --skill qianwen-text
Prerequisites
  • Python 3.9+ (stdlib only, no pip install required)
  • QianWen API key (standard sk-... format from QianWen Console)
  • DASHSCOPE_API_KEY or QIANWEN_API_KEY environment variable configured
Claude Code
Cursor
Windsurf
Cline

How to use qianwen-text

  1. 1.Verify Python 3.9+ is installed: python3 --version
  2. 2.Set up API key via .env file (DASHSCOPE_API_KEY=sk-your-key-here) or environment variable
  3. 3.Locate the skill's scripts/ directory containing text.py
  4. 4.Execute the default script: python3 scripts/text.py with your prompt or use curl for direct API calls
  5. 5.Specify a model (qwen3.6-plus is default) or consult qianwen-model-selector skill for model choice
  6. 6.Stream responses or save output as needed per execution-guide.md

Use cases

Good for
  • Chat with Qwen models for general Q&A and creative writing
  • Generate code solutions using qwen3-coder models for agentic coding tasks
  • Perform machine translation across 92 languages with qwen-mt models
  • Use reasoning models (qwq-plus) for complex problem-solving and analysis
  • Implement function calling for structured API integrations and tool use
Who it's for
  • Developers building with Qwen models
  • AI agents (Cursor, Claude Code) requiring text generation capabilities
  • Teams needing cost-effective language model access
  • Users requiring code generation and debugging assistance

qianwen-text FAQ

Which model should I use?

qwen3.6-plus is the recommended default (latest flagship, 1M context, thinking enabled). For code: use qwen3-coder-next. For reasoning: use qwq-plus. For translation: use qwen-mt-plus. Consult the qianwen-model-selector skill for scenario-specific recommendations.

What API key format is required?

Standard QianWen API keys starting with sk-... are required. Token Plan keys (sk-sp-...) target a different endpoint and cannot be used with these scripts. Obtain a standard key from QianWen Console.

How do I set up the API key securely?

Create a .env file in your project root with DASHSCOPE_API_KEY=sk-your-key-here, or set it as an environment variable. Never output the key in plaintext. The script detects and validates the key at startup.

Can I use this for image or video understanding?

No. Use the qianwen-vision skill for image/video understanding tasks. This skill handles text-only interactions.

What if the model list is outdated?

The model table is a snapshot. Always check https://www.qianwenai.com/models for the authoritative, up-to-date model catalog before making decisions.

Full instructions (SKILL.md)

Source of truth, from qianwen-ai/qianwen-ai.


name: qianwen-text description: "[QianWen] Generate text, have conversations, write code, reason, and call functions with Qwen models. TRIGGER when: user asks to chat with Qwen, generate text, write code with Qwen, use Qwen function calling, or explicitly invokes this skill by name (e.g. use qianwen-text). DO NOT TRIGGER when: general coding questions without Qwen, non-Qwen AI model usage (OpenAI, Gemini, etc.), image/video understanding (use qianwen-vision), image/video/audio generation." 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 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.

LocationPurpose
scripts/text.pyDefault execution — chat/completions request, streaming, output save
references/execution-guide.mdFallback: curl, Python SDK, function calling, thinking mode
references/api-guide.mdAPI supplement and full code examples
references/prompt-guide.mdPrompt engineering: CO-STAR framework, CoT, few-shot, task steps
references/sources.mdOfficial documentation URLs (manual lookup only)
references/agent-compatibility.mdAgent 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 are designed exclusively for interactive AI tools (Cursor, Claude Code, Qwen Code, OpenClaw, OpenCode, Codex, Kilo Code/CLI, Hermes Agent). They cannot be used by these scripts. Standard sk- key required. The script detects sk-sp- keys at startup and prints a warning. If qianwen-ops-auth is installed, see its references/tokenplan.md for details on key types, endpoint mapping, supported models, and error codes.

Model Selection

ModelUse Case
qwen3.6-plusRecommended default — latest flagship, balanced performance/cost/speed, 1M context, thinking on by default, multimodal (text+image+video)
qwen3.5-plusBalanced performance, cost, speed, 1M context, thinking on by default
qwen3.5-flashFast, low-cost, 1M context
qwen3-maxStrongest capability, built-in tools (web search, code interpreter)
qwen-plusGeneral purpose
qwen-turboCheapest, low latency
qwen3-coder-nextRecommended code model — best balance of quality, speed, cost; agentic coding
qwen3-coder-plusCode generation — highest quality for complex tasks
qwen3-coder-flashCode generation — fast responses, lower cost
qwq-plusReasoning / chain-of-thought
qwen-mt-plusMachine translation — best quality, 92 languages
qwen-mt-flashMachine translation — fast, low cost, 92 languages
qwen-mt-liteMachine translation — real-time chat, fastest, 31 languages
qwen-plus-character-jaRole-playing, Japanese
qwen-plus-characterRole-playing — character restoration, empathetic dialog
qwen-flash-characterRole-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 taskqwen3.6-plus (default).

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: 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 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":"qwen3.6-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":"qwen3.6-plus"}' \
  --stream --print-response
ArgumentDescription
--request '{...}'JSON request body
--file path.jsonLoad request from file (alternative to --request)
--streamEnable streaming output
--output dir/Save response JSON to directory
--print-responsePrint response to stdout
--model IDOverride model (also settable in request JSON)

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 PatternDiagnosisResolution
command not found: python3Python not on PATHTry python or py -3; install Python 3.9+ if missing
Python 3.9+ requiredScript version check failedUpgrade Python to 3.9+
SyntaxError near type hintsPython < 3.9Upgrade Python to 3.9+
QIANWEN_API_KEY/DASHSCOPE_API_KEY not foundMissing API keyObtain key from QianWen Console; add to .env: echo 'DASHSCOPE_API_KEY=sk-...' >> .env; or run qianwen-ops-auth if available
HTTP 401Invalid or mismatched keyRun qianwen-ops-auth (non-plaintext check only); verify key is valid
SSL: CERTIFICATE_VERIFY_FAILEDSSL cert issue (proxy/corporate)macOS: run Install Certificates.command; else set SSL_CERT_FILE env var
URLError / ConnectionErrorNetwork unreachableCheck internet; set HTTPS_PROXY if behind proxy
HTTP 429Rate limitedWait and retry with backoff
HTTP 5xxServer errorRetry with backoff
PermissionErrorCan't write outputUse --output to specify writable directory

Quick Reference

Request Fields

FieldTypeDescription
prompt / messagesstring | arrayUser input or message list
modelstringModel ID (e.g. qwen3.6-plus)
systemstringSystem prompt (optional)
temperaturefloat0–2, controls randomness
max_tokensintMax output tokens
toolsarrayFunction definitions for tool calling
streamboolEnable streaming (recommended for interactive use)
enable_thinkingboolEnable thinking mode. Model defaults apply: qwen3.6-plus/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

FieldDescription
textGenerated text content
modelModel used
usageToken usage (prompt_tokens, completion_tokens)
tool_callsFunction call requests (if tools used)

Advanced Features

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

FeatureHow to EnableNotes
Structured outputresponse_format: {"type": "json_schema", "json_schema": {...}}Force JSON output conforming to schema
Web searchenable_search: trueReal-time web search augmented responses
Deep thinkingenable_thinking: trueExtended reasoning; only when user requests it
Function callingtools: [...]Define functions for tool use
Context cacheAutomatic for repeated prefixes; or explicit session-basedReduces cost for repeated context
Partial modepartial_mode: "prefix"Continue/complete a prefix
Batch inferenceAsync batch API with JSONL input50% cost discount

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

Error Handling

ErrorCauseAction
401 UnauthorizedInvalid or missing API keyRun qianwen-ops-auth if available; else prompt user to set key (non-plaintext check only)
429 Too Many RequestsRate limit exceededRetry with backoff
500 / 502 / 503Server errorRetry; check status page
Invalid modelModel ID not foundVerify model name against Model Selection table
400 product not activatedModel/product not enabled for this accountThe model has not been activated. Direct the user to enable the model then retry
Invalid parameterBad request bodyValidate JSON and field types
TypeError: ...proxiesopenai SDK vs httpx incompatibilitypip 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 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 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

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