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@qwen-code/sdk
Advanced tools
A minimum experimental TypeScript SDK for programmatic access to Qwen Code.
Feel free to submit a feature request/issue/PR.
npm install @qwen-code/sdk
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
pathToQwenExecutableoption to the full path of theqwenbinary.
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);
}
}
query(config)Creates a new query session with the Qwen Code.
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.| Option | Type | Default | Description |
|---|---|---|---|
cwd | string | process.cwd() | The working directory for the query session. Determines the context in which file operations and commands are executed. |
model | string | - | The AI model to use (e.g., 'qwen-max', 'qwen-plus', 'qwen-turbo'). Takes precedence over OPENAI_MODEL and QWEN_MODEL environment variables. |
pathToQwenExecutable | string | Auto-detected | Path 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. |
canUseTool | CanUseTool | - | 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. |
env | Record<string, string> | - | Environment variables to pass to the Qwen Code process. Merged with the current process environment. |
mcpServers | Record<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 }. |
abortController | AbortController | - | Controller to cancel the query session. Call abortController.abort() to terminate the session and cleanup resources. |
debug | boolean | false | Enable debug mode for verbose logging from the CLI process. |
maxSessionTurns | number | -1 (unlimited) | Maximum number of conversation turns before the session automatically terminates. A turn consists of a user message and an assistant response. |
coreTools | string[] | - | 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']. |
excludeTools | string[] | - | 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 )'). |
allowedTools | string[] | - | 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. |
agents | SubagentConfig[] | - | Configuration for subagents that can be invoked during the session. Subagents are specialized AI agents for specific tasks or domains. |
includePartialMessages | boolean | false | When true, the SDK emits incomplete messages as they are being generated, allowing real-time streaming of the AI's response. |
The SDK enforces the following default timeouts:
| Timeout | Default | Description |
|---|---|---|
canUseTool | 1 minute | Maximum time for canUseTool callback to respond. If exceeded, the tool request is auto-denied. |
mcpRequest | 1 minute | Maximum time for SDK MCP tool calls to complete. |
controlRequest | 1 minute | Maximum time for control operations like initialize(), setModel(), setPermissionMode(), and interrupt() to complete. |
streamClose | 1 minute | Maximum 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
},
});
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
}
}
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();
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.excludeTools - Blocks tools completelypermissionMode: 'plan' - Blocks non-read-only toolspermissionMode: 'yolo' - Auto-approves all toolsallowedTools - Auto-approves matching toolscanUseTool callback - Custom approval logicimport { 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);
}
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,
},
});
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' },
},
},
},
});
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.
| Parameter | Type | Description |
|---|---|---|
name | string | Tool name (1-64 chars, starts with letter, alphanumeric and underscores) |
description | string | Human-readable description of what the tool does |
inputSchema | ZodRawShape | Zod 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.
| Option | Type | Default | Description |
|---|---|---|---|
name | string | Required | Unique name for the MCP server |
version | string | '1.0.0' | Server version |
tools | SdkMcpToolDefinition[] | - | Array of tools created with tool() |
Returns a McpSdkServerConfigWithInstance object that can be passed directly to the mcpServers option.
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);
}
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;
}
}
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
}
}
Apache-2.0 - see LICENSE for details.
FAQs
TypeScript SDK for programmatic access to qwen-code CLI
We found that @qwen-code/sdk demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 5 open source maintainers collaborating on the project.
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