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@qwen-code/sdk

TypeScript SDK for programmatic access to qwen-code CLI

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@qwen-code/sdk

A minimum experimental TypeScript SDK for programmatic access to Qwen Code.

Feel free to submit a feature request/issue/PR.

Installation

npm install @qwen-code/sdk

Requirements

  • Node.js >= 20.0.0
  • Qwen Code >= 0.4.0 (stable) installed and accessible in PATH

Note for nvm users: If you use nvm to manage Node.js versions, the SDK may not be able to auto-detect the Qwen Code executable. You should explicitly set the pathToQwenExecutable option to the full path of the qwen binary.

Quick Start

import { query } from '@qwen-code/sdk';

// Single-turn query
const result = query({
  prompt: 'What files are in the current directory?',
  options: {
    cwd: '/path/to/project',
  },
});

// Iterate over messages
for await (const message of result) {
  if (message.type === 'assistant') {
    console.log('Assistant:', message.message.content);
  } else if (message.type === 'result') {
    console.log('Result:', message.result);
  }
}

API Reference

query(config)

Creates a new query session with the Qwen Code.

Parameters

  • prompt: string | AsyncIterable<SDKUserMessage> - The prompt to send. Use a string for single-turn queries or an async iterable for multi-turn conversations.
  • options: QueryOptions - Configuration options for the query session.

QueryOptions

OptionTypeDefaultDescription
cwdstringprocess.cwd()The working directory for the query session. Determines the context in which file operations and commands are executed.
modelstring-The AI model to use (e.g., 'qwen-max', 'qwen-plus', 'qwen-turbo'). Takes precedence over OPENAI_MODEL and QWEN_MODEL environment variables.
pathToQwenExecutablestringAuto-detectedPath to the Qwen Code executable. Supports multiple formats: 'qwen' (native binary from PATH), '/path/to/qwen' (explicit path), '/path/to/cli.js' (Node.js bundle), 'node:/path/to/cli.js' (force Node.js runtime), 'bun:/path/to/cli.js' (force Bun runtime). If not provided, auto-detects from: QWEN_CODE_CLI_PATH env var, ~/.volta/bin/qwen, ~/.npm-global/bin/qwen, /usr/local/bin/qwen, ~/.local/bin/qwen, ~/node_modules/.bin/qwen, ~/.yarn/bin/qwen.
permissionMode'default' | 'plan' | 'auto-edit' | 'yolo''default'Permission mode controlling tool execution approval. See Permission Modes for details.
canUseToolCanUseTool-Custom permission handler for tool execution approval. Invoked when a tool requires confirmation. Must respond within 60 seconds or the request will be auto-denied. See Custom Permission Handler.
envRecord<string, string>-Environment variables to pass to the Qwen Code process. Merged with the current process environment.
mcpServersRecord<string, McpServerConfig>-MCP (Model Context Protocol) servers to connect. Supports external servers (stdio/SSE/HTTP) and SDK-embedded servers. External servers are configured with transport options like command, args, url, httpUrl, etc. SDK servers use { type: 'sdk', name: string, instance: Server }.
abortControllerAbortController-Controller to cancel the query session. Call abortController.abort() to terminate the session and cleanup resources.
debugbooleanfalseEnable debug mode for verbose logging from the CLI process.
maxSessionTurnsnumber-1 (unlimited)Maximum number of conversation turns before the session automatically terminates. A turn consists of a user message and an assistant response.
coreToolsstring[]-Equivalent to tool.core in settings.json. If specified, only these tools will be available to the AI. Example: ['read_file', 'write_file', 'run_terminal_cmd'].
excludeToolsstring[]-Equivalent to tool.exclude in settings.json. Excluded tools return a permission error immediately. Takes highest priority over all other permission settings. Supports pattern matching: tool name ('write_file'), tool class ('ShellTool'), or shell command prefix ('ShellTool(rm )').
allowedToolsstring[]-Equivalent to tool.allowed in settings.json. Matching tools bypass canUseTool callback and execute automatically. Only applies when tool requires confirmation. Supports same pattern matching as excludeTools.
authType'openai' | 'qwen-oauth''openai'Authentication type for the AI service. Using 'qwen-oauth' in SDK is not recommended as credentials are stored in ~/.qwen and may need periodic refresh.
agentsSubagentConfig[]-Configuration for subagents that can be invoked during the session. Subagents are specialized AI agents for specific tasks or domains.
includePartialMessagesbooleanfalseWhen true, the SDK emits incomplete messages as they are being generated, allowing real-time streaming of the AI's response.

Timeouts

The SDK enforces the following default timeouts:

TimeoutDefaultDescription
canUseTool1 minuteMaximum time for canUseTool callback to respond. If exceeded, the tool request is auto-denied.
mcpRequest1 minuteMaximum time for SDK MCP tool calls to complete.
controlRequest1 minuteMaximum time for control operations like initialize(), setModel(), setPermissionMode(), and interrupt() to complete.
streamClose1 minuteMaximum time to wait for initialization to complete before closing CLI stdin in multi-turn mode with SDK MCP servers.

You can customize these timeouts via the timeout option:

const query = qwen.query('Your prompt', {
  timeout: {
    canUseTool: 60000, // 60 seconds for permission callback
    mcpRequest: 600000, // 10 minutes for MCP tool calls
    controlRequest: 60000, // 60 seconds for control requests
    streamClose: 15000, // 15 seconds for stream close wait
  },
});

Message Types

The SDK provides type guards to identify different message types:

import {
  isSDKUserMessage,
  isSDKAssistantMessage,
  isSDKSystemMessage,
  isSDKResultMessage,
  isSDKPartialAssistantMessage,
} from '@qwen-code/sdk';

for await (const message of result) {
  if (isSDKAssistantMessage(message)) {
    // Handle assistant message
  } else if (isSDKResultMessage(message)) {
    // Handle result message
  }
}

Query Instance Methods

The Query instance returned by query() provides several methods:

const q = query({ prompt: 'Hello', options: {} });

// Get session ID
const sessionId = q.getSessionId();

// Check if closed
const closed = q.isClosed();

// Interrupt the current operation
await q.interrupt();

// Change permission mode mid-session
await q.setPermissionMode('yolo');

// Change model mid-session
await q.setModel('qwen-max');

// Close the session
await q.close();

Permission Modes

The SDK supports different permission modes for controlling tool execution:

  • default: Write tools are denied unless approved via canUseTool callback or in allowedTools. Read-only tools execute without confirmation.
  • plan: Blocks all write tools, instructing AI to present a plan first.
  • auto-edit: Auto-approve edit tools (edit, write_file) while other tools require confirmation.
  • yolo: All tools execute automatically without confirmation.

Permission Priority Chain

  • excludeTools - Blocks tools completely
  • permissionMode: 'plan' - Blocks non-read-only tools
  • permissionMode: 'yolo' - Auto-approves all tools
  • allowedTools - Auto-approves matching tools
  • canUseTool callback - Custom approval logic
  • Default behavior - Auto-deny in SDK mode

Examples

Multi-turn Conversation

import { query, type SDKUserMessage } from '@qwen-code/sdk';

async function* generateMessages(): AsyncIterable<SDKUserMessage> {
  yield {
    type: 'user',
    session_id: 'my-session',
    message: { role: 'user', content: 'Create a hello.txt file' },
    parent_tool_use_id: null,
  };

  // Wait for some condition or user input
  yield {
    type: 'user',
    session_id: 'my-session',
    message: { role: 'user', content: 'Now read the file back' },
    parent_tool_use_id: null,
  };
}

const result = query({
  prompt: generateMessages(),
  options: {
    permissionMode: 'auto-edit',
  },
});

for await (const message of result) {
  console.log(message);
}

Custom Permission Handler

import { query, type CanUseTool } from '@qwen-code/sdk';

const canUseTool: CanUseTool = async (toolName, input, { signal }) => {
  // Allow all read operations
  if (toolName.startsWith('read_')) {
    return { behavior: 'allow', updatedInput: input };
  }

  // Prompt user for write operations (in a real app)
  const userApproved = await promptUser(`Allow ${toolName}?`);

  if (userApproved) {
    return { behavior: 'allow', updatedInput: input };
  }

  return { behavior: 'deny', message: 'User denied the operation' };
};

const result = query({
  prompt: 'Create a new file',
  options: {
    canUseTool,
  },
});

With External MCP Servers

import { query } from '@qwen-code/sdk';

const result = query({
  prompt: 'Use the custom tool from my MCP server',
  options: {
    mcpServers: {
      'my-server': {
        command: 'node',
        args: ['path/to/mcp-server.js'],
        env: { PORT: '3000' },
      },
    },
  },
});

With SDK-Embedded MCP Servers

The SDK provides tool and createSdkMcpServer to create MCP servers that run in the same process as your SDK application. This is useful when you want to expose custom tools to the AI without running a separate server process.

tool(name, description, inputSchema, handler)

Creates a tool definition with Zod schema type inference.

ParameterTypeDescription
namestringTool name (1-64 chars, starts with letter, alphanumeric and underscores)
descriptionstringHuman-readable description of what the tool does
inputSchemaZodRawShapeZod schema object defining the tool's input parameters
handler(args, extra) => Promise<Result>Async function that executes the tool and returns MCP content blocks

The handler must return a CallToolResult object with the following structure:

{
  content: Array<
    | { type: 'text'; text: string }
    | { type: 'image'; data: string; mimeType: string }
    | { type: 'resource'; uri: string; mimeType?: string; text?: string }
  >;
  isError?: boolean;
}

createSdkMcpServer(options)

Creates an SDK-embedded MCP server instance.

OptionTypeDefaultDescription
namestringRequiredUnique name for the MCP server
versionstring'1.0.0'Server version
toolsSdkMcpToolDefinition[]-Array of tools created with tool()

Returns a McpSdkServerConfigWithInstance object that can be passed directly to the mcpServers option.

Example

import { z } from 'zod';
import { query, tool, createSdkMcpServer } from '@qwen-code/sdk';

// Define a tool with Zod schema
const calculatorTool = tool(
  'calculate_sum',
  'Add two numbers',
  { a: z.number(), b: z.number() },
  async (args) => ({
    content: [{ type: 'text', text: String(args.a + args.b) }],
  }),
);

// Create the MCP server
const server = createSdkMcpServer({
  name: 'calculator',
  tools: [calculatorTool],
});

// Use the server in a query
const result = query({
  prompt: 'What is 42 + 17?',
  options: {
    permissionMode: 'yolo',
    mcpServers: {
      calculator: server,
    },
  },
});

for await (const message of result) {
  console.log(message);
}

Abort a Query

import { query, isAbortError } from '@qwen-code/sdk';

const abortController = new AbortController();

const result = query({
  prompt: 'Long running task...',
  options: {
    abortController,
  },
});

// Abort after 5 seconds
setTimeout(() => abortController.abort(), 5000);

try {
  for await (const message of result) {
    console.log(message);
  }
} catch (error) {
  if (isAbortError(error)) {
    console.log('Query was aborted');
  } else {
    throw error;
  }
}

Error Handling

The SDK provides an AbortError class for handling aborted queries:

import { AbortError, isAbortError } from '@qwen-code/sdk';

try {
  // ... query operations
} catch (error) {
  if (isAbortError(error)) {
    // Handle abort
  } else {
    // Handle other errors
  }
}

License

Apache-2.0 - see LICENSE for details.

Keywords

qwen

FAQs

Package last updated on 06 Dec 2025

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