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* fix(core): invalidate token counts recorded for a switched model route `/model` switches rebuild the content generator but keep the same GeminiChat instance, so API-reported prompt/output token counts from the previous route survived and anchored admission, output clamping, and compression decisions for a different serialization (#9454). Attribute the counts to the route that produced them (Config.getModelRouteIdentity) and invalidate them on a route change so all safety decisions fall back to the history-walk estimate. Closes #9454 * fix(core): keep token counts scoped to producing route * fix(core): close round-2 route-scoping findings (#9454) - C1: client.test.ts session-token-limit gate test now seeds the chat mock's getLastPromptTokenCount (the gate's new source) instead of relying on the telemetry stub alone. - C2: goal-turn-integration.test.ts passes the routeKey positional added to processStreamResponse and widens the local cast. - S1: fix stale rationale comment — no session token-limit gate reads the telemetry mirror anymore; UI context counters and compression banners do. - S2: pin tryCompress's entry invalidation with a focused test; manual /compress reaches it without sendMessageStream's entry reset. - S3: direct config tests for getModelRouteIdentity — call stability, model@<sha-prefix> shape, and the guard keeping the registry baseUrl out of non-active model identities. - R2-3: sendMessageStream now resolves the request route first and invalidates counts against IT (deriving the key from the actual model param on the non-exact branch), so an active-route count can no longer anchor an exact `\0` route's output clamp; regression test added. * fix(core): close round-3 route-scoping findings (#9454) - R3-1: hard-rescue rollback now restores tokenCountsRouteKey alongside the counts; tryCompress re-stamps the key to the active route mid-rescue, which left the resurrected request-route count riding the active key past the next entry invalidation (regression test: active-route read after failed rescue must not inherit the override count). - R3-2(2): invalidation zeroes the telemetry cached-content mirror together with the prompt mirror so /context stops rendering a foreign cached count beside a zeroed prompt count; the mirror is documented as best-effort display state between a switch and the next guarded read (R3-2(1)). - R3-4: collapse the requestRouteKey ternary into one getModelRouteIdentity call (the non-exact arm passed exactly the default parameter value). - R3-5: resolve the active-route default lazily after the zero-count fast path instead of eagerly in the default parameter. - R1-3: add the missing compressFast route-invalidation test (third entrypoint; mutation-verified). * fix(core): preserve route-scoped token guards (#9454) Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com> * fix(core): resolve full-turn route selectors at the session token limit gate (#9454) * fix(core): stamp fallback-served token counts under the request route (#9454) * fix(core): retain route-scoped token counts across route crossings (#9454) * fix(core): keep route-scoped token counts consistent through compression (#9454) * fix(core): keep rescued output counts and compression stamps route-scoped (#9454) --------- Co-authored-by: yiliang114 <yiliang114@users.noreply.github.com> Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com> |
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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) | 한국어
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.
- Aliyun Model Studio CLI — Official CLI for Aliyun's AI platform (
bailian-cli). Extends Qwen Code with image/video generation, knowledge retrieval, app orchestration, and model deployment
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.