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* fix(web-shell): encode vision model selection & polish picker Address Wenshao's review comments on #6209: [Critical] Encode vision model selection before persisting - handleVisionModelSelect now strips ACP (authType) suffix and stores as authType:modelId format expected by core's resolveVisionModelSelection() - Without this, picker selections silently fail to resolve when the same model ID appears on multiple providers [Suggestion] Add currentVisionModel derivation - Mirror currentVoiceModel pattern so the picker highlights the active vision model instead of falling back to the main model [Suggestion] Extract MODE_TITLE_KEY record for exhaustive dispatch - Replace duplicated 4-way ternary in App.tsx dialog title with a single Record<ModelDialogMode, string> lookup - Replace if/else if/else onSelect chain with a handlers record that would fail at compile time if a new mode is added without a handler [Suggestion] Add settings.label/description.visionModel i18n keys - Add to both EN and ZH locales so Chinese users see proper labels in the Settings dialog Files changed: - App.tsx: encoding fix, currentVisionModel, MODE_TITLE_KEY, handlers record - i18n.tsx: visionModel label + description (EN + ZH) * fix(web-shell): encode vision model selection & polish picker Address Wenshao's review comments on #6209: [Critical] Encode vision model selection before persisting - handleVisionModelSelect now strips ACP (authType) suffix and stores as authType:modelId format expected by core's resolveVisionModelSelection() - Without this, picker selections silently fail to resolve when the same model ID appears on multiple providers [Suggestion] Add currentVisionModel derivation - Mirror currentVoiceModel pattern so the picker highlights the active vision model instead of falling back to the main model [Suggestion] Extract MODE_TITLE_KEY record for exhaustive dispatch - Replace duplicated 4-way ternary in App.tsx dialog title with a single Record<ModelDialogMode, string> lookup - Replace if/else if/else onSelect chain with a handlers record that would fail at compile time if a new mode is added without a handler [Suggestion] Add settings.label/description.visionModel i18n keys - Add to both EN and ZH locales so Chinese users see proper labels in the Settings dialog Files changed: - App.tsx: encoding fix, currentVisionModel, MODE_TITLE_KEY, handlers record - i18n.tsx: visionModel label + description (EN + ZH) * fix(web-shell): address review comments for vision model picker encoding - Extract encodeVisionModelForSetting / decodeVisionModelForPicker into shared utils/modelEncoding.ts so they can be tested in isolation - Add 17 unit tests covering ACP encoding, colon-bearing IDs, empty parens passthrough, and round-trip identity - Memoize modelHandlers record with useMemo to avoid re-allocation on every model picker click - Replace dead fallback (?? 'main') — the outer modelDialogMode guard already ensures non-null, so use an explicit if-guard instead * test(web-shell): add edge-case tests for model encoding functions - Add passthrough tests for already-encoded colon format - Add malformed input tests (bare authType, unclosed paren, double-parens) - Add leadin-colon malformed input test for decode - Add empty string passthrough test - 23 encoding tests passing (up from 17), full suite: 735 passing * fix: PR #6236 follow-up — vision model encoding + fast model highlight - decodeVisionModelForPicker: strip \0baseUrl suffix before decoding to ACP - Remove dead encodeFastModelForSetting (fast picker strips ACP suffix before handler) - Add currentFastModel derivation + 'fast' branch to currentModelId ternary - Fix misleading voice handler comment (bare IDs, not ACP) - Replace unnecessary useMemo on modelHandlers with plain object Co-authored-by: atlarix-agent <agent@atlarix.dev> --------- Co-authored-by: Qwen3.6 Plus agent <agent@atlarix.dev> |
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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.