qianwen-ai/qianwen-ai

qianwen-text

Generate text, have conversations, write code, reason, and call functions with Qwen models.

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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)

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:

bash
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'))
"
OutputMeaning
token-planToken Plan key — use only models from the Token Plan list below.
paygPay-as-you-go key — full model catalog available.
not-setNo key configured.

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

  • Personal: https://platform.qianwenai.com/docs/token-plan/personal/token-plan-personal-overview.md
  • Team: https://platform.qianwenai.com/docs/token-plan/team/token-plan-team-overview.md

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

ModelUse Case
qwen3.8-maxStrongest flagship — 2.4T MoE, native vision-language, hybrid thinking (on by default), 1M context, built-in tools. Best for complex reasoning & coding.
qwen3.8-flashFast Qwen3.8 — multimodal (text+image+video), hybrid thinking (on by default), 1M context. Fast, cost-effective.
qwen3.7-maxFlagship agent model — 1M context, thinking mode, function calling, built-in tools, structured output.
qwen3.7-plusRecommended default — multimodal vision-language, enhanced Agent execution & coding, 1M context, thinking on by default.
qwen3.7-flashNext-gen lightweight — multimodal (text+image+video), 1M context, full features at lower cost.
qwen3.6-plusMultimodal (text+image+video), 1M context, thinking on by default, strong coding & universal recognition
qwen3.5-plusBalanced performance, cost, speed, 1M context, thinking on by default
qwen3.5-flashFast, low-cost, 1M context
qwen3-maxLegacy strongest capability, built-in tools (web search, code interpreter)
qwen-plusGeneral purpose
qwen-turboCheap, 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-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 taskqwen3.7-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](https://www.qianwenai.com/models) 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-plus → https://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:

bash
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.

bash
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):

bash
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
ArgumentDescription
--request '{...}'JSON request body
--file path.jsonLoad request from file (alternative to --request)
--streamEnable streaming output
--output pathSave response JSON to path (file if .json suffix, otherwise directory); use distinct filenames across calls to avoid overwriting
--print-responsePrint response to stdout
--model IDOverride 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 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. qwen3.7-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: qwen3.8-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

FieldDescription
textGenerated text content
modelModel used
usageToken usage (prompttokens, completiontokens)
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 modeLast message: {"role": "assistant", "content": "prefix…", "partial": true}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
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 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

thinking mode

dallo stesso repository

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