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3cd9561c8b
* fix(ci): tighten API error detection to avoid false positive on review prose The result-text classifier matched *"[API Error"* which hits review summaries that quote the pattern in prose (e.g. reviewing PR #7247 whose summary mentions "[API Error: ...]" and "quota … limit"). The quota grep then fired on the coincidental "quota … limit" substring, falsely reporting quota exhaustion on a successful review. Require a digit after "[API Error: " so only real API error messages (e.g. "[API Error: 429 …]") trigger the failure path. * fix(ci): anchor API error detection on tail position, not status-code shape The status-code glob from the previous commit would silently miss real aborts whose message has no leading digit (Connection error, Status: suffix, Chinese rate-limit text) — trading a loud false positive for a silent false negative. Anchor on position instead: an aborted run renders the API error as (or at the very end of) the result text, while a successful review that discusses API errors quotes them mid-prose. Checking only the last 600 bytes separates the two without constraining the error message format. Also adds fixtures for the non-digit-leading shapes and for prose quoting a real status code mid-body, and removes a stale comment. * fix(ci): catch aborts longer than the tail window; grep full text for quota Add a whole-result check (case "$RESULT_TEXT" in "[API Error: "*) alongside the tail check so errors whose body exceeds 600 bytes are still detected — the prefix falls outside the tail window but the result starts with it. Move the quota grep back onto the full RESULT_TEXT so a long error with quota wording early in the message is still classified as quota (not downgraded to retryable). * fix(ci): anchor abort detection on trailing shape, not byte window Replace the prefix+tail-window split with an ends-with check: the stream-json adapter appends the formatted API error last, so an aborted run's result ENDS with "[API Error: …]" optionally followed by a rate-limit guidance suffix. Strip the three known suffixes, rtrim, then match *"[API Error: "*"]". This catches the production abort shape (partial review + appended error) at any error length, without a byte-window constant to tune or leave untested. Prose that quotes the pattern mid-body keeps writing afterwards and does not end with "]". Adds fixtures for the production shape (appended error, long appended error, rate-limit suffix after the bracket). * test(ci): pin suffix sync with errorParsing.ts; document ]-ending trade-off Add a sync test that reads RATE_LIMIT_MESSAGE_BY_AUTH from errorParsing.ts and asserts all three suffixes appear in the workflow — prevents silent drift if someone rewords one. Add a KNOWN-limitation fixture documenting that prose ending with ] after quoting the pattern is a false positive (accepted trade-off; the durable fix is checking that the bot comment landed). |
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The open-source AI coding agent that lives in your terminal.
中文 | Deutsch | français | 日本語 | Русский | Português (Brasil)
Why Qwen Code?
- Agentic out of the box — Auto-Memory, Auto-Skills, SubAgents, Agent Teams, and MCP. Dynamic workflows, zero setup.
- Open-source, inside and out — The framework and the Qwen models are open-source. They evolve together. No vendor lock-in.
- Multi-protocol — Supports OpenAI, Anthropic, Gemini, and Qwen APIs. Any third-party provider or local model (Ollama / vLLM). Switch at runtime.
- Beyond the terminal — IDE plugins, Desktop app, daemon mode, SDKs, and IM bots (Telegram / DingTalk / WeChat / Feishu).
Tip
Qwen Code is actively iterating on itself — using its own agent and models to file issues, submit PRs, review code, and run tests. Powered by the community, driven by AI.
Installation
Linux / macOS:
curl -fsSL https://qwen-code-assets.oss-cn-hangzhou.aliyuncs.com/installation/install-qwen-standalone.sh | bash
Windows:
irm https://qwen-code-assets.oss-cn-hangzhou.aliyuncs.com/installation/install-qwen-standalone.ps1 | iex
Restart your terminal after installation to ensure environment variables take effect.
NPM / Homebrew
NPM (requires Node.js 22+):
npm install -g @qwen-code/qwen-code@latest
Homebrew (macOS / Linux):
brew install qwen-code
Quick Start
qwen # Launch interactive terminal UI
# Inside the session:
/auth # Configure your provider and API key
See the Authentication Guide and Settings Reference for detailed setup.
How to Use Qwen Code
| Mode | Command | Use Case |
|---|---|---|
| Interactive | qwen |
Terminal UI with rich rendering, @file references, slash commands |
| Headless | qwen -p "..." |
Scripts, CI/CD, batch processing — no UI |
| IDE | — | VS Code, Zed, JetBrains |
| Desktop | — | Qwen Code Desktop — GUI for macOS, Windows, Linux |
| Daemon | qwen serve |
Shared agent session over HTTP+SSE (ACP). Multiple clients, one agent. (experimental) Docs |
| SDK | — | TypeScript, Python, Java |
| IM Bot | qwen channel |
Connect to Telegram, DingTalk, WeChat, or Feishu |
SDK example (Python)
import asyncio
from qwen_code_sdk import is_sdk_result_message, query
async def main() -> None:
result = query(
"Summarize the repository layout.",
{
"cwd": "/path/to/project",
"path_to_qwen_executable": "qwen",
},
)
async for message in result:
if is_sdk_result_message(message):
print(message["result"])
asyncio.run(main())
Capabilities
If you know Claude Code, you already know Qwen Code — and then some. We've put significant effort into bringing Qwen Code to feature parity with Claude Code, improving both breadth and reliability across the board.
| Feature | Qwen Code | Claude Code |
|---|---|---|
| SubAgents, Agent Teams, Dynamic Workflows | ✓ | ✓ |
| Auto-Memory, Auto-Skills, Hooks | ✓ | ✓ |
| Built-in Skills (/review, /batch, /loop, /bugfix…) | ✓ | ✓ |
| MCP, Plan Mode, LSP Integration | ✓ | ✓ |
| Auto Mode, Sandbox, Git Worktrees | ✓ | ✓ |
| Computer Use (desktop automation) | ✓ | ✓ |
| IDE Plugins (VS Code / JetBrains / Zed) | ✓ | ✓ |
| SDK | ✓ | ✓ |
| Headless Mode, Session Management | ✓ | ✓ |
| Open-source — model and framework | ✓ | — |
| Multi-protocol (OpenAI / Anthropic / Gemini / Qwen + any provider) | ✓ | — |
| Agent Arena (multi-model head-to-head on same task) | ✓ | — |
Daemon Mode — qwen serve (multi-client shared agent) |
✓ | — |
| IM Channels (Telegram / DingTalk / WeChat / Feishu) | ✓ | — |
Ecosystem
-
Qwen Code Desktop — Official desktop app for macOS, Windows, and Linux
-
AionUi — A modern GUI for command-line AI tools including Qwen Code
-
Gemini CLI Desktop — A cross-platform desktop/web/mobile UI for Qwen Code
-
🦞 Qwen Code Claw — Let other agents (Claude, Codex, etc.) delegate coding tasks to Qwen Code via ACP. Paste this prompt into your agent:
Use Qwen Code as a coding agent. First, fetch and read this skill reference:
https://raw.githubusercontent.com/QwenLM/qwen-code/refs/heads/main/.qwen/skills/qwen-code-claw/SKILL.md
Then follow the instructions inside to install, authenticate, and use Qwen Code via acpx for all coding tasks.
Contributing
Contributions are welcome! See CONTRIBUTING.md for guidelines.
Acknowledgments
This project was originally based on Google Gemini CLI v0.8.2. We gratefully acknowledge the Gemini CLI team's excellent work. Starting from Qwen Code v0.1, we stopped syncing with upstream and began independent development as a multi-protocol, multi-platform agent framework with deep integrations for Qwen models and beyond.