qwencloud-text — Skillopedia

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 qwencloud/qwencloud-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 | |-------------------------------------|-------------------------------------------------------------------------------------| | | Default execution — chat/completions request, streaming, output save | | | Fallback: curl, Pyt…

\n for candidate in candidates:\n m = re.search(pattern, candidate)\n if m:\n agent, skill = m.group(1) or \"default\", m.group(2)\n if len(agent) \u003c= 32 and len(skill) \u003c= 32:\n return json.dumps({\"channel\": \"qwencloud-skill\", \"tags\": {\"t1\": skill, \"t2\": agent}}, separators=(',', ':'))\n return None\n\n\n# ---------------------------------------------------------------------------\n# Section 6: HTTP infrastructure\n# ---------------------------------------------------------------------------\n\n_RETRYABLE_CODES = frozenset({429, 500, 502, 503, 504})\n\n\ndef http_request(\n method: str,\n url: str,\n api_key: str,\n payload: dict[str, Any] | None = None,\n *,\n extra_headers: dict[str, str] | None = None,\n timeout: int = 120,\n retries: int = 2,\n backoff: float = 1.5,\n) -> dict[str, Any]:\n \"\"\"Generic HTTP request with retry and exponential backoff.\n\n Handles JSON serialisation, provider header injection, and retryable\n HTTP codes.\n \"\"\"\n hdrs = get_provider().make_headers(api_key, payload)\n if extra_headers:\n hdrs.update(extra_headers)\n data = json.dumps(payload).encode(\"utf-8\") if payload else None\n last_err = \"\"\n for attempt in range(retries + 1):\n req = urllib.request.Request(url, data=data, headers=hdrs, method=method)\n try:\n with urllib.request.urlopen(req, timeout=timeout) as resp:\n return json.loads(resp.read().decode(\"utf-8\"))\n except urllib.error.HTTPError as exc:\n body = \"\"\n try:\n body = exc.read().decode(\"utf-8\", errors=\"replace\")\n except Exception:\n pass\n if api_key and len(api_key) > 8 and api_key in body:\n body = body.replace(api_key, mask_key(api_key))\n last_err = f\"HTTP {exc.code}: {sanitize_diagnostic(body)[:500]}\"\n if exc.code not in _RETRYABLE_CODES or attempt >= retries:\n if exc.code == 401 and is_token_plan_key(api_key):\n print(\n \"Hint: if this model is not on Token Plan, see supported \"\n \"models at https://docs.qwencloud.com/token-plan\",\n file=sys.stderr,\n )\n raise RuntimeError(last_err) from None\n time.sleep(backoff * (2 ** attempt))\n except urllib.error.URLError as exc:\n last_err = sanitize_diagnostic(str(exc.reason))\n if attempt >= retries:\n raise RuntimeError(f\"Network error: {last_err}\") from None\n time.sleep(backoff * (2 ** attempt))\n raise RuntimeError(last_err)\n\n\ndef http_post(\n url: str,\n api_key: str,\n payload: dict[str, Any],\n *,\n timeout: int = 120,\n retries: int = 2,\n backoff: float = 1.5,\n) -> dict[str, Any]:\n \"\"\"Convenience: non-streaming POST, returns parsed JSON.\"\"\"\n return http_request(\n \"POST\", url, api_key, payload,\n timeout=timeout, retries=retries, backoff=backoff,\n )\n\n\ndef _sse_error_message(\n chunk: Any,\n event_type: str,\n api_key: str,\n) -> Optional[str]:\n \"\"\"Return a safe error message for an SSE error payload, if present.\"\"\"\n error_payload = chunk.get(\"error\") if isinstance(chunk, dict) else None\n has_top_level_error = isinstance(chunk, dict) and (\n not chunk.get(\"choices\")\n and chunk.get(\"code\") is not None\n and chunk.get(\"message\") is not None\n )\n if event_type.lower() != \"error\" and error_payload is None and not has_top_level_error:\n return None\n\n payload = error_payload if error_payload is not None else chunk\n if isinstance(payload, dict):\n code = payload.get(\"code\") or payload.get(\"type\")\n message = payload.get(\"message\")\n if code and message:\n detail = f\"{code}: {message}\"\n elif code or message:\n detail = str(code or message)\n else:\n detail = json.dumps(payload, ensure_ascii=False)\n else:\n detail = str(payload)\n\n if api_key and len(api_key) > 8 and api_key in detail:\n detail = detail.replace(api_key, mask_key(api_key))\n return f\"SSE error: {sanitize_diagnostic(detail)[:500]}\"\n\n\ndef stream_sse(\n url: str,\n api_key: str,\n payload: dict[str, Any],\n *,\n timeout: int = 180,\n) -> Iterator[dict[str, Any]]:\n \"\"\"Streaming POST. Yields parsed SSE ``data:`` chunks.\n\n Automatically sets ``stream: true`` in the payload and sends the\n appropriate ``Accept`` header.\n \"\"\"\n payload[\"stream\"] = True\n hdrs = get_provider().make_headers(api_key, payload)\n hdrs[\"Accept\"] = \"text/event-stream\"\n data = json.dumps(payload).encode(\"utf-8\")\n req = urllib.request.Request(url, data=data, headers=hdrs, method=\"POST\")\n try:\n resp = urllib.request.urlopen(req, timeout=timeout)\n except urllib.error.HTTPError as exc:\n body = \"\"\n try:\n body = exc.read().decode(\"utf-8\", errors=\"replace\")\n except Exception:\n pass\n if api_key and len(api_key) > 8 and api_key in body:\n body = body.replace(api_key, mask_key(api_key))\n raise RuntimeError(f\"HTTP {exc.code}: {sanitize_diagnostic(body)[:500]}\") from None\n except urllib.error.URLError as exc:\n raise RuntimeError(f\"Network error: {sanitize_diagnostic(str(exc.reason))}\") from None\n\n buf = b\"\"\n event_type = \"\"\n try:\n while True:\n raw = resp.read(4096)\n if not raw:\n break\n buf += raw\n while b\"\\n\" in buf:\n line_bytes, buf = buf.split(b\"\\n\", 1)\n line = line_bytes.decode(\"utf-8\", errors=\"replace\").strip()\n if not line:\n event_type = \"\"\n continue\n if line.startswith(\"event:\"):\n event_type = line[6:].strip()\n continue\n if not line.startswith(\"data:\"):\n continue\n json_str = line[5:].strip()\n if json_str == \"[DONE]\":\n return\n try:\n chunk = json.loads(json_str)\n except json.JSONDecodeError:\n if event_type.lower() == \"error\":\n detail = json_str\n if api_key and len(api_key) > 8 and api_key in detail:\n detail = detail.replace(api_key, mask_key(api_key))\n detail = sanitize_diagnostic(detail)[:500]\n raise RuntimeError(f\"SSE error: {detail}\") from None\n pass\n else:\n error_message = _sse_error_message(chunk, event_type, api_key)\n if error_message:\n raise RuntimeError(error_message)\n yield chunk\n event_type = \"\"\n finally:\n resp.close()\n\n\n# ---------------------------------------------------------------------------\n# Section 7: File upload / download\n# ---------------------------------------------------------------------------\n\n_BASE64_FILE_LIMIT = 7 * 1024 * 1024 # 7 MB (base64 adds ~33%; API limit is 10 MB)\n\n\ndef upload_local_file(api_key: str, model: str, fp: Path) -> str:\n \"\"\"Upload a local file to the active provider's temp storage.\n\n Returns a provider-managed URL (e.g. ``oss://`` for DashScope).\n \"\"\"\n return get_provider().upload_file(api_key, model, fp)\n\n\ndef resolve_file(\n value: str,\n *,\n api_key: str | None = None,\n model: str | None = None,\n) -> str:\n \"\"\"Resolve a file reference for API consumption.\n\n URLs (``http``, ``https``, ``data``, and provider-managed schemes)\n pass through unchanged. Local files are handled based on context:\n\n - *api_key* + *model* provided: upload to temp storage.\n - Otherwise: convert to ``data:`` base64 URI (must be \u003c 7 MB).\n \"\"\"\n provider = get_provider()\n pass_through = (\"http://\", \"https://\", \"data:\") + provider.managed_url_schemes()\n if value.startswith(pass_through):\n return value\n if value.startswith(\"file://\"):\n parsed = urllib.parse.urlparse(value)\n if parsed.netloc and parsed.netloc.lower() != \"localhost\":\n raise ValueError(\n f\"Cannot resolve non-local file URI authority {parsed.netloc!r}; \"\n \"only an empty authority or 'localhost' is supported.\"\n )\n value = urllib.request.url2pathname(parsed.path)\n p = Path(value)\n if not (p.exists() and p.is_file()):\n return value\n\n file_size = p.stat().st_size\n\n if api_key and model:\n managed_url = provider.upload_file(api_key, model, p)\n tag = \"48 h TTL\" if managed_url.startswith(\"oss://\") else \"custom OSS\"\n print(sanitize_diagnostic(f\"Uploaded {p.name} -> {managed_url} ({tag})\"), file=sys.stderr)\n return managed_url\n\n if file_size > _BASE64_FILE_LIMIT:\n print(\n f\"Warning: {p.name} is {file_size / 1024 / 1024:.1f} MB -- \"\n \"base64 may exceed the 10 MB API limit. \"\n \"Use --upload-files to auto-upload, or provide an online URL.\",\n file=sys.stderr,\n )\n\n mime = mimetypes.guess_type(p.name)[0] or \"application/octet-stream\"\n b64 = base64.b64encode(p.read_bytes()).decode(\"ascii\")\n return f\"data:{mime};base64,{b64}\"\n\n\ndef download_file(url: str, dest: Path, *, timeout: int = 120) -> Path:\n \"\"\"Download a file from *url* to *dest*, creating parent dirs as needed.\"\"\"\n dest.parent.mkdir(parents=True, exist_ok=True)\n req = urllib.request.Request(url, headers={\"User-Agent\": \"qwencloud-skills\"})\n try:\n with urllib.request.urlopen(req, timeout=timeout) as resp:\n dest.write_bytes(resp.read())\n except urllib.error.URLError as exc:\n raise RuntimeError(f\"Download failed: {sanitize_diagnostic(str(exc))}\") from None\n return dest\n\n\n# ---------------------------------------------------------------------------\n# Section 8: Request / response utilities\n# ---------------------------------------------------------------------------\n\ndef load_request(args: Any) -> dict[str, Any]:\n \"\"\"Load request dict from ``--request`` or ``--file`` CLI argument.\"\"\"\n if getattr(args, \"request\", None):\n return json.loads(args.request)\n if getattr(args, \"file\", None):\n return json.loads(Path(args.file).read_text(encoding=\"utf-8\"))\n raise ValueError(\"Provide --request '{...}' or --file path/to/request.json\")\n\n\ndef save_result(result: dict[str, Any], output_path: str | Path) -> None:\n \"\"\"Write *result* as JSON to *output_path*, creating parent dirs.\"\"\"\n p = Path(output_path)\n p.parent.mkdir(parents=True, exist_ok=True)\n p.write_text(json.dumps(result, ensure_ascii=False, indent=2), encoding=\"utf-8\")\n\n\ndef extract_text(content: Any) -> str:\n \"\"\"Extract plain text from a message ``content`` field.\n\n Handles ``str``, ``list[{type, text}]``, and ``None``.\n \"\"\"\n if isinstance(content, str):\n return content\n if isinstance(content, list):\n for item in content:\n if isinstance(item, dict) and item.get(\"type\") == \"text\":\n text = item.get(\"text\")\n if isinstance(text, str):\n return text\n return json.dumps(content, ensure_ascii=False)\n if content is None:\n return \"\"\n return json.dumps(content, ensure_ascii=False)\n\n\ndef try_parse_json(text: str) -> Any | None:\n \"\"\"Attempt to parse *text* as JSON; return ``None`` on failure.\"\"\"\n text = text.strip()\n if not text:\n return None\n try:\n return json.loads(text)\n except json.JSONDecodeError:\n return None\n\n\n# ---------------------------------------------------------------------------\n# Section 9: Async task polling\n# ---------------------------------------------------------------------------\n\ndef poll_task(\n task_id: str,\n api_key: str,\n *,\n timeout_s: int = 600,\n interval: int = 10,\n verbose: bool = True,\n) -> dict[str, Any]:\n \"\"\"Poll an async task until it reaches a terminal state.\n\n Returns the final result dict. Raises ``TimeoutError`` if\n *timeout_s* is exceeded.\n \"\"\"\n provider = get_provider()\n url = provider.task_poll_url(task_id)\n terminals = provider.terminal_statuses()\n start = time.time()\n poll_count = 0\n while True:\n result = http_request(\"GET\", url, api_key)\n elapsed = int(time.time() - start)\n poll_count += 1\n status = provider.extract_task_status(result)\n if verbose:\n print(f\" [{elapsed}s] task={task_id} status={status}\", file=sys.stderr)\n if status in terminals:\n return result\n if time.time() - start > timeout_s:\n raise TimeoutError(\n f\"Task {task_id} timed out after {timeout_s}s \"\n f\"({poll_count} polls, last status: {status})\"\n )\n time.sleep(interval)\n\n\n# ---------------------------------------------------------------------------\n# Section 10: Update-check signal\n# ---------------------------------------------------------------------------\n\ntry:\n from gossamer import run as _run_update_signal_impl\nexcept ImportError:\n _run_update_signal_impl = None # type: ignore[assignment]\n\n\ndef run_update_signal(caller: str | Path | None = None) -> None:\n \"\"\"Emit update-check signals to stderr (non-blocking, failure-safe).\n\n Parameters\n ----------\n caller : str or Path, optional\n ``__file__`` of the calling script.\n \"\"\"\n if _run_update_signal_impl:\n try:\n _run_update_signal_impl(caller=caller or __file__)\n except Exception:\n pass\n","content_type":"text/x-python; charset=utf-8","language":"python","size":49931,"content_sha256":"fadc836540173f9a5b1dd531f3b266931e181b2cf94c1d5bbae892c15469ed33"},{"filename":"scripts/text.py","content":"#!/usr/bin/env python3\n\"\"\"Chat with Qwen models via OpenAI-compatible API. Self-contained, stdlib only.\"\"\"\nfrom __future__ import annotations\n\nimport sys\n\nif sys.version_info \u003c (3, 9):\n print(f\"Error: Python 3.9+ required (found {sys.version}). \"\n \"Install: https://www.python.org/downloads/\", file=sys.stderr)\n sys.exit(1)\n\nimport argparse\nimport json\nfrom pathlib import Path\nfrom typing import Any\n\nsys.path.insert(0, str(Path(__file__).resolve().parent))\n\nfrom qwencloud_lib import ( # noqa: E402\n chat_url,\n check_token_plan_model_support,\n http_post,\n load_cdn_model_config,\n load_request,\n require_api_key,\n run_update_signal,\n stream_sse,\n)\n\n\n_MODEL_CONFIG_DIR = Path(__file__).resolve().parent.parent / \"cdn\" / \"config\"\n\n\ndef _validate_model_config(config: dict[str, Any]) -> bool:\n return isinstance(config.get(\"default_model\"), str) and bool(config[\"default_model\"])\n\n\ndef _default_model() -> str:\n config = load_cdn_model_config(\n \"qwencloud-text-config.json\",\n local_dir=_MODEL_CONFIG_DIR,\n required_keys=(\"default_model\",),\n validator=_validate_model_config,\n )\n model = config[\"default_model\"]\n if not isinstance(model, str) or not model:\n raise RuntimeError(\"Invalid text model configuration: default_model must be a string\")\n return model\n\n\n# ---------------------------------------------------------------------------\n# Response helpers\n# ---------------------------------------------------------------------------\n\ndef _extract_content(resp: dict[str, Any]) -> str:\n choices = resp.get(\"choices\", [])\n if choices:\n msg = choices[0].get(\"message\", {})\n return msg.get(\"content\", \"\") or \"\"\n return \"\"\n\n\n# ---------------------------------------------------------------------------\n# Streaming\n# ---------------------------------------------------------------------------\n\ndef _run_stream(url: str, api_key: str, request: dict[str, Any],\n print_response: bool, print_reasoning: bool = True) -> dict[str, Any]:\n full_content = \"\"\n reasoning_content = \"\"\n is_answering = False\n model = request.get(\"model\", \"\")\n tool_calls: dict[int, dict[str, Any]] = {} # keyed by index per official docs\n finish_reason = \"stop\"\n\n for chunk in stream_sse(url, api_key, request):\n choices = chunk.get(\"choices\", [])\n if not choices:\n continue\n choice = choices[0]\n delta = choice.get(\"delta\", {})\n\n # Handle reasoning_content (thinking mode)\n rc = delta.get(\"reasoning_content\") or \"\"\n if rc:\n reasoning_content += rc\n if print_response and print_reasoning and not is_answering:\n print(rc, end=\"\", flush=True, file=sys.stderr)\n\n # Handle regular content\n text = delta.get(\"content\", \"\") or \"\"\n if text:\n if not is_answering:\n is_answering = True\n if print_response and reasoning_content:\n print(\"\\n\", file=sys.stderr) # newline after reasoning\n full_content += text\n if print_response:\n print(text, end=\"\", flush=True)\n\n # Handle function calling (delta.tool_calls) - per official docs pattern\n if \"tool_calls\" in delta and delta[\"tool_calls\"]:\n for tc in delta[\"tool_calls\"]:\n idx = tc.get(\"index\", 0)\n args = (tc.get(\"function\") or {}).get(\"arguments\") or \"\"\n if idx not in tool_calls:\n tool_calls[idx] = tc\n # Ensure arguments is string, not None\n if \"function\" in tool_calls[idx]:\n tool_calls[idx][\"function\"][\"arguments\"] = args\n else:\n # Accumulate arguments across chunks\n tool_calls[idx][\"function\"][\"arguments\"] += args\n\n # Track finish_reason\n if choice.get(\"finish_reason\"):\n finish_reason = choice[\"finish_reason\"]\n\n if not model and chunk.get(\"model\"):\n model = chunk[\"model\"]\n\n if print_response:\n print()\n\n message: dict[str, Any] = {\"role\": \"assistant\", \"content\": full_content}\n if tool_calls:\n message[\"tool_calls\"] = list(tool_calls.values())\n\n result: dict[str, Any] = {\n \"model\": model,\n \"choices\": [{\"message\": message, \"finish_reason\": finish_reason}],\n }\n if reasoning_content:\n result[\"reasoning\"] = reasoning_content\n return result\n\n\n# ---------------------------------------------------------------------------\n# Main\n# ---------------------------------------------------------------------------\n\ndef main() -> None:\n run_update_signal(caller=__file__)\n parser = argparse.ArgumentParser(\n description=\"Chat with Qwen models via OpenAI-compatible API\",\n formatter_class=argparse.RawDescriptionHelpFormatter,\n epilog=\"\"\"\\\nrequest JSON fields (--request / --file):\n messages (required) Array of {role, content} message objects\n model Model ID — overridden by --model flag\n enable_thinking true/false — override the model's thinking default\n tools Array of tool/function definitions for function calling\n response_format {\"type\":\"json_object\"} or {\"type\":\"json_schema\",\"json_schema\":{...}}\n temperature Sampling temperature (0-2)\n max_tokens Maximum output tokens\n stream true/false — overridden by --stream flag\n\nenvironment variables:\n QWENCLOUD_API_KEY (preferred) API key — also loaded from .env file\n QWEN_API_KEY (fallback) Legacy alias\n DASHSCOPE_API_KEY (fallback) Legacy provider variable\n QWEN_REGION ap-southeast-1 (default)\n QWEN_BASE_URL Override the API base URL entirely\n\nexamples:\n # Simple chat\n python scripts/text.py --request '{\"messages\":[{\"role\":\"user\",\"content\":\"Hello\"}]}'\n\n # With system prompt and streaming\n python scripts/text.py --request '{\"messages\":[\n {\"role\":\"system\",\"content\":\"You are a helpful assistant\"},\n {\"role\":\"user\",\"content\":\"Explain quantum computing\"}\n ]}' --stream --print-response\n\n # From file, save output\n python scripts/text.py --file request.json --output results/ --print-response\n\n # Structured JSON output\n python scripts/text.py --request '{\"messages\":[{\"role\":\"user\",\"content\":\"List 3 colors\"}],\n \"response_format\":{\"type\":\"json_object\"}}' --print-response\n\"\"\",\n )\n parser.add_argument(\"--request\", help=\"Inline JSON: must contain 'messages' array\")\n parser.add_argument(\"--file\", help=\"Path to JSON file containing request body\")\n parser.add_argument(\"--output\", default=\"output/qwencloud-text\",\n help=\"Directory to save response JSON (default: output/qwencloud-text)\")\n parser.add_argument(\"--print-response\", action=\"store_true\", help=\"Print generated text to stdout\")\n parser.add_argument(\"--model\", help=\"Model ID (default loaded from CDN model configuration)\")\n parser.add_argument(\"--stream\", action=\"store_true\", help=\"Enable streaming response (SSE)\")\n parser.add_argument(\"--enable-thinking\", action=\"store_true\", dest=\"enable_thinking_flag\",\n help=\"Enable chain-of-thought thinking mode (overrides model defaults). \"\n \"Use only when explicitly requested.\")\n parser.add_argument(\"--hide-reasoning\", action=\"store_true\",\n help=\"Suppress reasoning process output to stderr (reasoning still saved to JSON)\")\n args = parser.parse_args()\n\n try:\n request = load_request(args)\n if args.model is not None:\n request[\"model\"] = args.model\n elif \"model\" not in request:\n request[\"model\"] = _default_model()\n except (ValueError, RuntimeError) as e:\n print(f\"Error: {e}\", file=sys.stderr)\n sys.exit(1)\n \n # Thinking mode handling:\n # - User explicitly enabled via flag → set true\n # - User specified in request JSON → respect their choice \n # - Otherwise → let the API apply the selected model's default\n if args.enable_thinking_flag:\n request[\"enable_thinking\"] = True\n print(\"Note: Thinking mode enabled explicitly; this may add latency.\", file=sys.stderr)\n elif \"enable_thinking\" not in request:\n # Do nothing - preserve API defaults per model\n pass\n\n api_key = require_api_key(script_file=__file__)\n\n try:\n check_token_plan_model_support(request.get(\"model\", \"\"), domain=\"Text\")\n url = chat_url()\n if args.stream or request.get(\"stream\"):\n print(\"Connecting to model (streaming)...\", file=sys.stderr)\n response_data = _run_stream(url, api_key, request, args.print_response,\n print_reasoning=not args.hide_reasoning)\n else:\n request[\"stream\"] = False\n print(\"Sending request to model, please wait...\", file=sys.stderr)\n response_data = http_post(url, api_key, request)\n # Extract reasoning_content from non-streaming response (normalize to top-level)\n msg = (response_data.get(\"choices\") or [{}])[0].get(\"message\", {})\n if msg.get(\"reasoning_content\"):\n response_data[\"reasoning\"] = msg[\"reasoning_content\"]\n if args.print_response:\n print(_extract_content(response_data))\n except RuntimeError as e:\n print(f\"API error: {e}\", file=sys.stderr)\n sys.exit(1)\n\n out = Path(args.output)\n if out.suffix.lower() == \".json\":\n out_file = out\n out_dir = out.parent\n else:\n out_dir = out\n out_file = out_dir / \"response.json\"\n out_dir.mkdir(parents=True, exist_ok=True)\n out_file.write_text(json.dumps(response_data, ensure_ascii=False, indent=2), encoding=\"utf-8\")\n print(f\"Response saved to {out_file}\", file=sys.stderr)\n\n\nif __name__ == \"__main__\":\n main()\n","content_type":"text/x-python; charset=utf-8","language":"python","size":9961,"content_sha256":"cbbdc6fff0c25bd234bf1aa6514d7a1c589c487b932d03fde241c0e8a4e7f99d"}],"content_json":{"type":"doc","content":[{"type":"heading","attrs":{"level":1},"content":[{"text":"Qwen Text Chat (OpenAI-Compatible)","type":"text"}]},{"type":"paragraph","content":[{"text":"Generate text, conduct conversations, write code, and invoke tools using Qwen models through the OpenAI-compatible API. This skill is part of ","type":"text"},{"text":"qwencloud/qwencloud-ai","type":"text","marks":[{"type":"strong"}]},{"text":".","type":"text"}]},{"type":"heading","attrs":{"level":2},"content":[{"text":"Skill directory","type":"text"}]},{"type":"paragraph","content":[{"text":"Use this skill's internal files to execute and learn. Load reference files on demand when the default path fails or you need details.","type":"text"}]},{"type":"table","attrs":{"layout":null},"content":[{"type":"tr","content":[{"type":"th","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"alignment":""},"content":[{"type":"paragraph","content":[{"text":"Location","type":"text"}]}]},{"type":"th","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"alignment":""},"content":[{"type":"paragraph","content":[{"text":"Purpose","type":"text"}]}]}]},{"type":"tr","content":[{"type":"td","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"alignment":""},"content":[{"type":"paragraph","content":[{"text":"scripts/text.py","type":"text","marks":[{"type":"code_inline"}]}]}]},{"type":"td","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"alignment":""},"content":[{"type":"paragraph","content":[{"text":"Default execution — chat/completions request, streaming, output save","type":"text"}]}]}]},{"type":"tr","content":[{"type":"td","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"alignment":""},"content":[{"type":"paragraph","content":[{"text":"references/execution-guide.md","type":"text","marks":[{"type":"code_inline"}]}]}]},{"type":"td","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"alignment":""},"content":[{"type":"paragraph","content":[{"text":"Fallback: curl, Python SDK, function calling, thinking mode","type":"text"}]}]}]},{"type":"tr","content":[{"type":"td","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"alignment":""},"content":[{"type":"paragraph","content":[{"text":"references/api-guide.md","type":"text","marks":[{"type":"code_inline"}]}]}]},{"type":"td","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"alignment":""},"content":[{"type":"paragraph","content":[{"text":"API supplement and full code examples","type":"text"}]}]}]},{"type":"tr","content":[{"type":"td","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"alignment":""},"content":[{"type":"paragraph","content":[{"text":"references/prompt-guide.md","type":"text","marks":[{"type":"code_inline"}]}]}]},{"type":"td","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"alignment":""},"content":[{"type":"paragraph","content":[{"text":"Prompt engineering: CO-STAR framework, CoT, few-shot, task steps","type":"text"}]}]}]},{"type":"tr","content":[{"type":"td","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"alignment":""},"content":[{"type":"paragraph","content":[{"text":"references/sources.md","type":"text","marks":[{"type":"code_inline"}]}]}]},{"type":"td","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"alignment":""},"content":[{"type":"paragraph","content":[{"text":"Official documentation URLs (manual lookup only)","type":"text"}]}]}]}]},{"type":"heading","attrs":{"level":2},"content":[{"text":"Security","type":"text"}]},{"type":"paragraph","content":[{"text":"NEVER output any API key or credential in plaintext.","type":"text","marks":[{"type":"strong"}]},{"text":" Always use variable references (","type":"text"},{"text":"$QWENCLOUD_API_KEY","type":"text","marks":[{"type":"code_inline"}]},{"text":" in shell, ","type":"text"},{"text":"os.environ[\"QWENCLOUD_API_KEY\"]","type":"text","marks":[{"type":"code_inline"}]},{"text":" in Python). The scripts accept ","type":"text"},{"text":"QWENCLOUD_API_KEY","type":"text","marks":[{"type":"code_inline"}]},{"text":", then ","type":"text"},{"text":"QWEN_API_KEY","type":"text","marks":[{"type":"code_inline"}]},{"text":", then ","type":"text"},{"text":"DASHSCOPE_API_KEY","type":"text","marks":[{"type":"code_inline"}]},{"text":". Any check or detection of credentials must be ","type":"text"},{"text":"non-plaintext","type":"text","marks":[{"type":"strong"}]},{"text":": report only status (e.g. \"set\" / \"not set\", \"valid\" / \"invalid\"), never the value. 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Only write the actual key value if the user explicitly requests it.","type":"text"}]},{"type":"heading","attrs":{"level":2},"content":[{"text":"Key Compatibility","type":"text"}]},{"type":"paragraph","content":[{"text":"Scripts support both ","type":"text"},{"text":"standard QwenCloud API keys","type":"text","marks":[{"type":"strong"}]},{"text":" (","type":"text"},{"text":"sk-...","type":"text","marks":[{"type":"code_inline"}]},{"text":") and ","type":"text"},{"text":"Token Plan keys","type":"text","marks":[{"type":"strong"}]},{"text":" (","type":"text"},{"text":"sk-sp-...","type":"text","marks":[{"type":"code_inline"}]},{"text":"). Token Plan keys are automatically routed to the Token Plan endpoint — see the ","type":"text"},{"text":"Token Plan model catalog","type":"text","marks":[{"type":"link","attrs":{"href":"https://alioth-intl.alicdn.com/skills-info/models/references/qwencloud-token-plan-models.md","title":null}}]},{"text":" for supported models. If CDN access fails, use the ","type":"text"},{"text":"local fallback","type":"text","marks":[{"type":"link","attrs":{"href":"cdn/references/qwencloud-token-plan-models.md","title":null}}]},{"text":".","type":"text"}]},{"type":"paragraph","content":[{"text":"Token Plan: do not use curl; always use the bundled Python script.","type":"text","marks":[{"type":"strong"}]}]},{"type":"paragraph","content":[{"text":"Coding Plan keys (also ","type":"text"},{"text":"sk-sp-","type":"text","marks":[{"type":"code_inline"}]},{"text":" prefix but purchased via Coding Plan subscription) are for interactive coding tools only and will fail on these scripts. If qwencloud-ops-auth is installed, see its ","type":"text"},{"text":"references/codingplan.md","type":"text","marks":[{"type":"code_inline"}]},{"text":" for details on key types, endpoint mapping, and error codes.","type":"text"}]},{"type":"paragraph","content":[{"text":"Detect the API key type without exposing the key:","type":"text"}]},{"type":"code_block","attrs":{"wrap":false,"language":"bash"},"content":[{"text":"python3 -c \"\nimport sys; sys.path.insert(0, 'scripts')\nfrom qwencloud_lib import detect_api_key_type\nprint(detect_api_key_type('scripts/qwencloud_lib.py'))\n\"","type":"text"}]},{"type":"table","attrs":{"layout":null},"content":[{"type":"tr","content":[{"type":"th","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"alignment":""},"content":[{"type":"paragraph","content":[{"text":"Output","type":"text"}]}]},{"type":"th","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"alignment":""},"content":[{"type":"paragraph","content":[{"text":"Meaning","type":"text"}]}]}]},{"type":"tr","content":[{"type":"td","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"alignment":""},"content":[{"type":"paragraph","content":[{"text":"token-plan","type":"text","marks":[{"type":"code_inline"}]}]}]},{"type":"td","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"alignment":""},"content":[{"type":"paragraph","content":[{"text":"Token Plan key detected (","type":"text"},{"text":"sk-sp-","type":"text","marks":[{"type":"code_inline"}]},{"text":" prefix)","type":"text"}]}]}]},{"type":"tr","content":[{"type":"td","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"alignment":""},"content":[{"type":"paragraph","content":[{"text":"payg","type":"text","marks":[{"type":"code_inline"}]}]}]},{"type":"td","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"alignment":""},"content":[{"type":"paragraph","content":[{"text":"Standard PAYG key detected","type":"text"}]}]}]},{"type":"tr","content":[{"type":"td","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"alignment":""},"content":[{"type":"paragraph","content":[{"text":"not-set","type":"text","marks":[{"type":"code_inline"}]}]}]},{"type":"td","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"alignment":""},"content":[{"type":"paragraph","content":[{"text":"No API key found in environment","type":"text"}]}]}]}]},{"type":"heading","attrs":{"level":2},"content":[{"text":"Model Selection","type":"text"}]},{"type":"blockquote","content":[{"type":"paragraph","content":[{"text":"🚫 CRITICAL — Never override user-specified parameters.","type":"text","marks":[{"type":"strong"}]},{"text":" If the user explicitly specifies a model (in prompt or request JSON), you MUST use exactly that model. Do NOT:","type":"text"}]},{"type":"bullet_list","content":[{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"Replace it with a \"better suited\" or newer model (e.g., swapping the user's ","type":"text"},{"text":"qwen3.7-max","type":"text","marks":[{"type":"code_inline"}]},{"text":" for a thinking model because the task \"looks like reasoning\")","type":"text"}]}]},{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"Add parameters the user did not ask for (","type":"text"},{"text":"enable_thinking","type":"text","marks":[{"type":"code_inline"}]},{"text":", ","type":"text"},{"text":"enable_search","type":"text","marks":[{"type":"code_inline"}]},{"text":", style hints)","type":"text"}]}]},{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"\"Optimize\" any explicit user choice","type":"text"}]}]}]},{"type":"paragraph","content":[{"text":"Selection guidance below applies ","type":"text"},{"text":"only when the user has NOT specified a model","type":"text","marks":[{"type":"strong"}]},{"text":".","type":"text"}]}]},{"type":"paragraph","content":[{"text":"Before selecting, recommending, or defaulting a model, fetch and read the current ","type":"text"},{"text":"QwenCloud text model catalog","type":"text","marks":[{"type":"link","attrs":{"href":"https://alioth-intl.alicdn.com/skills-info/models/references/qwencloud-text-models.md","title":null}}]},{"text":". It contains recent Qwen general-purpose models, basic model information, recommendations, and the default model. For coding, translation, or third-party families, consult qwencloud-model-selector or the QwenCloud CLI. If CDN access fails, use the ","type":"text"},{"text":"local fallback","type":"text","marks":[{"type":"link","attrs":{"href":"cdn/references/qwencloud-text-models.md","title":null}}]},{"text":".","type":"text"}]},{"type":"ordered_list","attrs":{"order":1,"listStyle":"number"},"content":[{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"User specified a model","type":"text","marks":[{"type":"strong"}]},{"text":" → ","type":"text"},{"text":"MANDATORY: use that exact model","type":"text","marks":[{"type":"strong"}]},{"text":" — do not substitute, do not \"optimize\", do not add unrequested parameters.","type":"text"}]}]},{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"Consult the qwencloud-model-selector skill","type":"text","marks":[{"type":"strong"}]},{"text":" when model choice depends on requirement, scenario, or pricing.","type":"text"}]}]},{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"No signal, clear task","type":"text","marks":[{"type":"strong"}]},{"text":" → use the default from the model catalog.","type":"text"}]}]}]},{"type":"blockquote","content":[{"type":"paragraph","content":[{"text":"⚠️ Important","type":"text","marks":[{"type":"strong"}]},{"text":": The model catalog is a ","type":"text"},{"text":"point-in-time snapshot","type":"text","marks":[{"type":"strong"}]},{"text":" and may be outdated. Model availability changes frequently. ","type":"text"},{"text":"Always check the ","type":"text","marks":[{"type":"strong"}]},{"text":"official model list","type":"text","marks":[{"type":"link","attrs":{"href":"https://www.qwencloud.com/models","title":null}},{"type":"strong"}]},{"text":" for the authoritative, up-to-date catalog before making model decisions.","type":"text","marks":[{"type":"strong"}]}]}]},{"type":"blockquote","content":[{"type":"paragraph","content":[{"text":"Model details","type":"text","marks":[{"type":"strong"}]},{"text":": For more information about a specific model, direct the user to its detail page: ","type":"text"},{"text":"https://www.qwencloud.com/models/\u003cmodel-name>","type":"text","marks":[{"type":"code_inline"}]},{"text":" (replace ","type":"text"},{"text":"\u003cmodel-name>","type":"text","marks":[{"type":"code_inline"}]},{"text":" with the exact model ID, e.g. ","type":"text"},{"text":"qwen3.6-plus","type":"text","marks":[{"type":"code_inline"}]},{"text":" → https://www.qwencloud.com/models/qwen3.6-plus). 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If not set: run the * ","type":"text"},{"text":"qwencloud-ops-auth","type":"text","marks":[{"type":"em"}]},{"text":"* skill if available; otherwise guide the user to obtain a key from ","type":"text"},{"text":"QwenCloud Console","type":"text","marks":[{"type":"link","attrs":{"href":"https://home.qwencloud.com/api-keys","title":null}}]},{"text":" and set it via ","type":"text"},{"text":".env","type":"text","marks":[{"type":"code_inline"}]},{"text":" file (","type":"text"},{"text":"echo 'QWENCLOUD_API_KEY=sk-your-key-here' >> .env","type":"text","marks":[{"type":"code_inline"}]},{"text":" in project root or current directory) or environment variable. The script searches for ","type":"text"},{"text":".env","type":"text","marks":[{"type":"code_inline"}]},{"text":" in the current working directory and the project root. Skills may be installed independently — do not assume qwencloud-ops-auth is present. ","type":"text"},{"text":"Note","type":"text","marks":[{"type":"strong"}]},{"text":": The script auto-loads ","type":"text"},{"text":".env","type":"text","marks":[{"type":"code_inline"}]},{"text":" from the current directory and the project root (in addition to any exported environment variable). A shell check showing ","type":"text"},{"text":"$QWENCLOUD_API_KEY","type":"text","marks":[{"type":"code_inline"}]},{"text":" as \"not set\" does NOT mean the script will fail — it may still find the key in ","type":"text"},{"text":".env","type":"text","marks":[{"type":"code_inline"}]},{"text":". Treat the shell check as informational only; the authoritative test is simply running the script (it exits with a clear error if no key is found anywhere).","type":"text"}]}]},{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"Python 3.9+ (stdlib only, ","type":"text"},{"text":"no pip install needed","type":"text","marks":[{"type":"strong"}]},{"text":" for script execution)","type":"text"}]}]}]},{"type":"heading","attrs":{"level":3},"content":[{"text":"Environment Check","type":"text"}]},{"type":"paragraph","content":[{"text":"Before first execution, verify Python is available:","type":"text"}]},{"type":"code_block","attrs":{"wrap":false,"language":"bash"},"content":[{"text":"python3 --version # must be 3.9+","type":"text"}]},{"type":"paragraph","content":[{"text":"If ","type":"text"},{"text":"python3","type":"text","marks":[{"type":"code_inline"}]},{"text":" is not found, try ","type":"text"},{"text":"python --version","type":"text","marks":[{"type":"code_inline"}]},{"text":" or ","type":"text"},{"text":"py -3 --version","type":"text","marks":[{"type":"code_inline"}]},{"text":". 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use distinct filenames across calls to avoid overwriting","type":"text"}]}]}]},{"type":"tr","content":[{"type":"td","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"alignment":""},"content":[{"type":"paragraph","content":[{"text":"--print-response","type":"text","marks":[{"type":"code_inline"}]}]}]},{"type":"td","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"alignment":""},"content":[{"type":"paragraph","content":[{"text":"Print response to stdout","type":"text"}]}]}]},{"type":"tr","content":[{"type":"td","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"alignment":""},"content":[{"type":"paragraph","content":[{"text":"--model ID","type":"text","marks":[{"type":"code_inline"}]}]}]},{"type":"td","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"alignment":""},"content":[{"type":"paragraph","content":[{"text":"Override model (also settable in request JSON)","type":"text"}]}]}]}]},{"type":"heading","attrs":{"level":3},"content":[{"text":"Verify Result","type":"text"}]},{"type":"bullet_list","content":[{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"Exit code ","type":"text"},{"text":"0","type":"text","marks":[{"type":"code_inline"}]},{"text":" + output contains valid JSON with ","type":"text"},{"text":"choices","type":"text","marks":[{"type":"code_inline"}]},{"text":" field → ","type":"text"},{"text":"success","type":"text","marks":[{"type":"strong"}]}]}]},{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"Non-zero exit, HTTP error, empty response, or JSON with ","type":"text"},{"text":"\"code\"","type":"text","marks":[{"type":"code_inline"}]},{"text":"/","type":"text"},{"text":"\"message\"","type":"text","marks":[{"type":"code_inline"}]},{"text":" error → ","type":"text"},{"text":"fail","type":"text","marks":[{"type":"strong"}]}]}]},{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"If agent cannot read exit codes, scan output for error patterns (","type":"text"},{"text":"Error","type":"text","marks":[{"type":"code_inline"}]},{"text":", ","type":"text"},{"text":"Traceback","type":"text","marks":[{"type":"code_inline"}]},{"text":", ","type":"text"},{"text":"401","type":"text","marks":[{"type":"code_inline"}]},{"text":", ","type":"text"},{"text":"403","type":"text","marks":[{"type":"code_inline"}]},{"text":")","type":"text"}]}]},{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"Post-execution check","type":"text","marks":[{"type":"strong"}]},{"text":": When ","type":"text"},{"text":"--output","type":"text","marks":[{"type":"code_inline"}]},{"text":" is used, verify the response JSON file exists and contains ","type":"text"},{"text":"choices","type":"text","marks":[{"type":"code_inline"}]}]}]},{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"MANDATORY — stderr signal check","type":"text","marks":[{"type":"strong"}]},{"text":": After confirming the result, scan the command's stderr output for ","type":"text"},{"text":"[ACTION_REQUIRED]","type":"text","marks":[{"type":"code_inline"}]},{"text":" or ","type":"text"},{"text":"[UPDATE_AVAILABLE]","type":"text","marks":[{"type":"code_inline"}]},{"text":". If either signal is present, you ","type":"text"},{"text":"MUST","type":"text","marks":[{"type":"strong"}]},{"text":" follow the instructions in ","type":"text"},{"text":"Update Check","type":"text","marks":[{"type":"link","attrs":{"href":"#update-check-mandatory-post-execution","title":null}}]},{"text":" below before responding to the user.","type":"text"}]}]}]},{"type":"heading","attrs":{"level":3},"content":[{"text":"On Failure","type":"text"}]},{"type":"paragraph","content":[{"text":"If the script fails, match the error output against the diagnostic table below to determine the resolution. 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If a URL is not listed here, do not invent one.","type":"text"}]}]},{"type":"heading","attrs":{"level":2},"content":[{"text":"Output Location","type":"text"}]},{"type":"paragraph","content":[{"text":"Prefer the ","type":"text"},{"text":"current working directory","type":"text","marks":[{"type":"strong"}]},{"text":" for all outputs. Default subdirectory when ","type":"text"},{"text":"--output","type":"text","marks":[{"type":"code_inline"}]},{"text":" is used: ","type":"text"},{"text":"./output/qwencloud-text/","type":"text","marks":[{"type":"code_inline"}]},{"text":".","type":"text"}]},{"type":"paragraph","content":[{"text":"Write prohibition","type":"text","marks":[{"type":"strong"}]},{"text":": NEVER write output files into this skill's installation directory or any ","type":"text"},{"text":"skills/","type":"text","marks":[{"type":"code_inline"}]},{"text":" hierarchy. All generated content must go to ","type":"text"},{"text":"output/","type":"text","marks":[{"type":"code_inline"}]},{"text":" under the current working directory or a user-specified path.","type":"text"}]},{"type":"heading","attrs":{"level":2},"content":[{"text":"Token Plan Support","type":"text"}]},{"type":"paragraph","content":[{"text":"Token Plan keys (","type":"text"},{"text":"sk-sp-...","type":"text","marks":[{"type":"code_inline"}]},{"text":") are fully supported. The script automatically routes to the Token Plan endpoint (","type":"text"},{"text":"token-plan.ap-southeast-1.maas.aliyuncs.com","type":"text","marks":[{"type":"code_inline"}]},{"text":") when a Token Plan key is detected.","type":"text"}]},{"type":"heading","attrs":{"level":3},"content":[{"text":"Supported models","type":"text"}]},{"type":"paragraph","content":[{"text":"Fetch and read the current ","type":"text"},{"text":"Token Plan model catalog","type":"text","marks":[{"type":"link","attrs":{"href":"https://alioth-intl.alicdn.com/skills-info/models/references/qwencloud-token-plan-models.md","title":null}}]},{"text":", then use an exact listed text-capable model. If CDN access fails, use the ","type":"text"},{"text":"local fallback","type":"text","marks":[{"type":"link","attrs":{"href":"cdn/references/qwencloud-token-plan-models.md","title":null}}]},{"text":".","type":"text"}]},{"type":"heading","attrs":{"level":3},"content":[{"text":"Behavior","type":"text"}]},{"type":"bullet_list","content":[{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"Token Plan key + supported model","type":"text","marks":[{"type":"strong"}]},{"text":" → auto-routes to Token Plan endpoint, runs normally","type":"text"}]}]},{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"Token Plan key + unsupported model","type":"text","marks":[{"type":"strong"}]},{"text":" → request may fail on the TP endpoint; consult the catalog above, then suggest switching to a supported model or using a PAYG key","type":"text"}]}]},{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"Coding Plan key","type":"text","marks":[{"type":"strong"}]},{"text":" → scripts are NOT coding agents; calls will fail. Use a standard PAYG key or Token Plan key instead.","type":"text"}]}]}]},{"type":"heading","attrs":{"level":3},"content":[{"text":"Required header","type":"text"}]},{"type":"paragraph","content":[{"text":"User-Agent: qwencloud-skills","type":"text","marks":[{"type":"code_inline"}]},{"text":" is automatically included in all requests.","type":"text"}]},{"type":"heading","attrs":{"level":2},"content":[{"text":"Update Check (MANDATORY Post-Execution)","type":"text"}]},{"type":"paragraph","content":[{"text":"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.","type":"text"}]},{"type":"heading","attrs":{"level":3},"content":[{"text":"Signal: ","type":"text"},{"text":"[ACTION_REQUIRED] qwencloud-update-check skill is not installed","type":"text","marks":[{"type":"code_inline"}]}]},{"type":"paragraph","content":[{"text":"When stderr contains this signal, you MUST present the following options to the user and ","type":"text"},{"text":"wait for their response before proceeding","type":"text","marks":[{"type":"strong"}]},{"text":". Do NOT silently skip this.","type":"text"}]},{"type":"blockquote","content":[{"type":"paragraph","content":[{"text":"The update-check skill is not installed. It keeps you informed about new qwencloud/qwencloud-ai features and bug fixes.","type":"text"}]},{"type":"ordered_list","attrs":{"order":1,"listStyle":"number"},"content":[{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"Install now","type":"text","marks":[{"type":"strong"}]},{"text":" — I'll run the install command for you","type":"text"}]}]},{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"Skip for now","type":"text","marks":[{"type":"strong"}]},{"text":" — do nothing this time","type":"text"}]}]},{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"Never remind me","type":"text","marks":[{"type":"strong"}]},{"text":" — permanently suppress this prompt","type":"text"}]}]}]}]},{"type":"paragraph","content":[{"text":"After the user responds:","type":"text"}]},{"type":"bullet_list","content":[{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"User chooses ","type":"text"},{"text":"1","type":"text","marks":[{"type":"strong"}]},{"text":" → run: ","type":"text"},{"text":"npx skills add QwenCloud/qwencloud-ai --skill qwencloud-update-check -y","type":"text","marks":[{"type":"code_inline"}]},{"text":", then run: ","type":"text"},{"text":"python3 \u003cthis-skill-scripts-dir>/gossamer.py --dismiss","type":"text","marks":[{"type":"code_inline"}]}]}]},{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"User chooses ","type":"text"},{"text":"2","type":"text","marks":[{"type":"strong"}]},{"text":" → run: ","type":"text"},{"text":"python3 \u003cthis-skill-scripts-dir>/gossamer.py --dismiss","type":"text","marks":[{"type":"code_inline"}]},{"text":", then continue normally","type":"text"}]}]},{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"User chooses ","type":"text"},{"text":"3","type":"text","marks":[{"type":"strong"}]},{"text":" → run: ","type":"text"},{"text":"python3 \u003cthis-skill-scripts-dir>/gossamer.py --never-install","type":"text","marks":[{"type":"code_inline"}]},{"text":", then continue normally","type":"text"}]}]}]},{"type":"heading","attrs":{"level":3},"content":[{"text":"Signal: ","type":"text"},{"text":"[UPDATE_AVAILABLE]","type":"text","marks":[{"type":"code_inline"}]}]},{"type":"paragraph","content":[{"text":"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.","type":"text"}]},{"type":"heading","attrs":{"level":3},"content":[{"text":"No signal in stderr","type":"text"}]},{"type":"paragraph","content":[{"text":"If stderr contains neither ","type":"text"},{"text":"[ACTION_REQUIRED]","type":"text","marks":[{"type":"code_inline"}]},{"text":" nor ","type":"text"},{"text":"[UPDATE_AVAILABLE]","type":"text","marks":[{"type":"code_inline"}]},{"text":", no action is needed — the skill is installed and up to date (or cached within 24h).","type":"text"}]},{"type":"heading","attrs":{"level":3},"content":[{"text":"Explicit user request","type":"text"}]},{"type":"paragraph","content":[{"text":"When the user explicitly asks to check for updates (e.g. \"check for updates\", \"check version\"):","type":"text"}]},{"type":"ordered_list","attrs":{"order":1,"listStyle":"number"},"content":[{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"Look for ","type":"text"},{"text":"qwencloud-update-check/SKILL.md","type":"text","marks":[{"type":"code_inline"}]},{"text":" in sibling skill directories.","type":"text"}]}]},{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"If found — run: ","type":"text"},{"text":"python3 \u003cqwencloud-update-check-dir>/scripts/check_update.py --print-response","type":"text","marks":[{"type":"code_inline"}]},{"text":" and report the result.","type":"text"}]}]},{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"If not found — present the install options above.","type":"text"}]}]}]},{"type":"heading","attrs":{"level":2},"content":[{"text":"References","type":"text"}]},{"type":"bullet_list","content":[{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"execution-guide.md","type":"text","marks":[{"type":"link","attrs":{"href":"references/execution-guide.md","title":null}}]},{"text":" — Fallback paths (curl, SDK, autonomous), function calling, thinking mode","type":"text"}]}]},{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"api-guide.md","type":"text","marks":[{"type":"link","attrs":{"href":"references/api-guide.md","title":null}}]},{"text":" — API supplementary guide with full code examples","type":"text"}]}]},{"type":"list_item","content":[{"type":"paragraph","content":[{"text":"sources.md","type":"text","marks":[{"type":"link","attrs":{"href":"references/sources.md","title":null}}]},{"text":" — Official documentation URLs","type":"text"}]}]}]}]},"metadata":{"date":"2026-11-02","name":"qwencloud-text","author":"@skillopedia","source":{"stars":44,"repo_name":"qwencloud-ai","origin_url":"https://github.com/QwenCloud/qwencloud-ai/blob/HEAD/skills/text/qwencloud-text/SKILL.md","repo_owner":"QwenCloud","body_sha256":"0083c872f2220c1725c16d7b2a27a3e050507825f90a4a76c52981db252a6f8d","cluster_key":"005353dc5f53f4ca5e52090740d113afcf06e49c6111c2c3bf419ead4c7b78d6","clean_bundle":{"format":"clean-skill-bundle-v1","source":"QwenCloud/qwencloud-ai/skills/text/qwencloud-text/SKILL.md","text_bytes":93994,"source_commit":"60542ab371ae2adc04937a3fdbbafe7baad7738c","skills_sh_rank":9516,"attachment_count":11,"text_attachments":11,"attachment_storage":"skill_attachments","binary_attachments":0},"cluster_size":1,"skill_md_path":"skills/text/qwencloud-text/SKILL.md","import_metadata":{"date":"2026-11-02","author":"@skillopedia","version":"v1","category":"ai-agent-development","category_label":"AI"},"exact_dupes_collapsed_into_this":0},"version":"v1","category":"ai-agent-development","import_tag":"skills-sh-top20k-2026-11","description":"Generate text, have conversations, write code, reason, and call functions with Qwen models and third-party models available on QwenCloud. TRIGGER when: user asks to chat with Qwen, generate text, write code with Qwen, use Qwen function calling, call third-party models (deepseek, kimi, glm, etc.) via QwenCloud, or explicitly invokes this skill by name (e.g. use qwencloud-text). DO NOT TRIGGER when: using non-QwenCloud platforms (direct OpenAI API, Google Gemini API, etc.), general coding questions unrelated to QwenCloud, image/video understanding (use qwencloud-vision), image/video/audio generation.","compatibility":"Requires Python 3.9+; curl is PAYG-only. Cursor: auto-loaded. Claude Code: read this skill's SKILL.md before first use."}},"renderedAt":1793666229430}

Important: agents should read /llm.txt, /llms.txt, or /.well-known/skills.json to discover the public Skillopedia API.