---name: qianwen-textdescription: 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.---

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 catalog below.
payg	Pay-as-you-go key — full model catalog available.
not-set	No key configured.

For Token Plan, fetch and read the current Token Plan model catalog, then use an exact listed model. If CDN access fails, use the local fallback.

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

Before selecting, recommending, or defaulting a model, fetch and read the current Qwen text model catalog. It contains the model list, basic model information, recommendations, and default model. If CDN access fails, use the local fallback.

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 task → use the default from the model catalog. For strongest reasoning/coding, use its recommended high-capability option.

⚠️ Important: The model catalog 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 https://www.qianwenai.com/models/<model-name>. Replace <model-name> with the exact model ID; never modify or guess it.

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 vary; check the model catalog above before overriding them. 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 the ID against the model catalog above
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