feat: integrate swarm with agent loop and add interactive mode

- Replace separate swarm mode with integrated swarm tools in agent loop
- Add interactive chat mode when running 'dev' without arguments
- Support programmatic mode with 'dev -p prompt'
- Add session management (save/load conversations)
- Fix glob timeout by using sync version
- Remove shell deprecation warnings
- Swarm functionality now available as tools within agent
- Version bump to 2.2.0
This commit is contained in:
Hanzo Dev
2025-07-16 02:04:42 -05:00
parent 716de4f499
commit b3dd35579e
9 changed files with 1067 additions and 77 deletions
+1 -1
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@@ -1,6 +1,6 @@
{
"name": "@hanzo/dev",
"version": "2.1.1",
"version": "2.2.0",
"description": "Hanzo Dev - Meta AI development CLI that manages and runs all LLMs and CLI tools",
"main": "dist/index.js",
"bin": {
+23 -48
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@@ -16,6 +16,7 @@ import { PeerAgentNetwork } from '../lib/peer-agent-network';
import { BenchmarkRunner, BenchmarkConfig } from '../lib/benchmark-runner';
import { ConfigurableAgentLoop, LLMProvider } from '../lib/agent-loop';
import { SwarmRunner, SwarmOptions } from '../lib/swarm-runner';
import { InteractiveAgent } from '../lib/interactive-agent';
const program = new Command();
@@ -888,59 +889,33 @@ async function runSwarmMode(options: any): Promise<void> {
// Default action
program
.action(async (options) => {
// Check if swarm mode is requested
if (options.swarm) {
await runSwarmMode(options);
return;
// Determine provider
let providerType: 'claude' | 'openai' | 'gemini' | 'grok' | 'local' = 'claude';
if (options.openai) providerType = 'openai';
else if (options.gemini) providerType = 'gemini';
else if (options.grok) providerType = 'grok';
else if (options.local) providerType = 'local';
// Get provider config
const providers = ConfigurableAgentLoop.getAvailableProviders();
const provider = providers.find(p => p.type === providerType);
if (!provider) {
console.error(chalk.red(`Provider '${providerType}' not configured`));
process.exit(1);
}
// Check if a specific provider is requested
if (options.claude || options.openai || options.gemini || options.grok || options.local) {
let provider = 'claude';
if (options.claude) provider = 'claude';
else if (options.openai) provider = 'openai';
else if (options.gemini) provider = 'gemini';
else if (options.grok) provider = 'grok';
else if (options.local) provider = 'local';
// Create interactive agent with swarm support if requested
const agent = new InteractiveAgent(provider, options.swarm ? parseInt(options.swarm) : undefined);
// Map provider to tool name
const toolMap: Record<string, string> = {
claude: 'claude',
openai: 'codex',
gemini: 'gemini',
grok: 'grok',
local: 'hanzo-dev'
};
const toolName = toolMap[provider];
if (toolName && TOOLS[toolName as keyof typeof TOOLS]) {
console.log(chalk.gray(`Launching ${TOOLS[toolName as keyof typeof TOOLS].name}...`));
runTool(toolName, options.prompt ? [options.prompt] : ['.']);
return;
}
}
const defaultTool = await getDefaultTool();
if (defaultTool && process.argv.length === 2) {
console.log(chalk.gray(`Auto-launching ${TOOLS[defaultTool as keyof typeof TOOLS].name}...`));
runTool(defaultTool, ['.']);
// If prompt provided, run it
if (options.prompt) {
await agent.start(options.prompt);
} else {
interactiveMode();
// No prompt - start interactive mode
await agent.start();
}
});
// Parse arguments
program.parse();
// If no arguments, run interactive mode
if (process.argv.length === 2) {
(async () => {
const defaultTool = await getDefaultTool();
if (defaultTool) {
console.log(chalk.gray(`Auto-launching ${TOOLS[defaultTool as keyof typeof TOOLS].name}...`));
runTool(defaultTool, ['.']);
} else {
interactiveMode();
}
})();
}
program.parse();
+92 -1
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@@ -31,11 +31,13 @@ export interface AgentMessage {
}
export class ConfigurableAgentLoop extends EventEmitter {
private config: AgentLoopConfig;
public config: AgentLoopConfig;
private functionCalling: FunctionCallingSystem;
private mcpClient: MCPClient;
private messages: AgentMessage[] = [];
private iterations: number = 0;
private context: any = {};
private customTools: Map<string, any> = new Map();
constructor(config: AgentLoopConfig) {
super();
@@ -549,4 +551,93 @@ Always use tools to accomplish tasks. Think step by step.`;
updateConfig(updates: Partial<AgentLoopConfig>): void {
this.config = { ...this.config, ...updates };
}
// Add custom tool
addTool(tool: {
name: string;
description: string;
parameters: any;
execute: (params: any) => Promise<any>;
}): void {
this.customTools.set(tool.name, tool);
this.functionCalling.registerFunction(
tool.name,
tool.execute,
tool.description,
tool.parameters
);
}
// Get conversation messages
getMessages(): AgentMessage[] {
return [...this.messages];
}
// Get current context
getContext(): any {
return { ...this.context };
}
// Load session data
loadSession(messages: AgentMessage[], context: any): void {
this.messages = [...messages];
this.context = { ...context };
}
// Process a user message
async processMessage(content: string): Promise<string> {
// Add user message
const userMessage: AgentMessage = {
role: 'user',
content
};
this.messages.push(userMessage);
// Process through agent loop
try {
const response = await this.executeIteration();
return response.content;
} catch (error) {
console.error(chalk.red(`Error processing message: ${error}`));
throw error;
}
}
// Execute one iteration of the agent loop
private async executeIteration(): Promise<AgentMessage> {
this.iterations++;
// Call appropriate LLM
let response: AgentMessage;
switch (this.config.provider.type) {
case 'anthropic':
response = await this.callAnthropic();
break;
case 'openai':
response = await this.callOpenAI();
break;
case 'hanzo-app':
response = await this.callHanzoApp();
break;
case 'local':
default:
response = await this.callLocalLLM();
break;
}
// Execute any tool calls
if (response.toolCalls && response.toolCalls.length > 0) {
const toolResults = await this.executeToolCalls(response.toolCalls);
response.toolResults = toolResults;
// Add tool results as a message
this.messages.push({
role: 'tool',
content: JSON.stringify(toolResults),
toolResults
});
}
return response;
}
}
+14
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@@ -176,6 +176,20 @@ export class FunctionCallingSystem {
this.tools.set(tool.name, tool);
}
registerFunction(
name: string,
handler: (args: any) => Promise<any>,
description: string,
parameters: any
): void {
this.registerTool({
name,
description,
parameters,
handler
});
}
async registerMCPServer(name: string, session: MCPSession): Promise<void> {
this.mcpSessions.set(name, session);
+310
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@@ -0,0 +1,310 @@
import * as readline from 'readline';
import * as fs from 'fs';
import * as path from 'path';
import chalk from 'chalk';
import { ConfigurableAgentLoop, AgentLoopConfig, LLMProvider } from './agent-loop';
import { SwarmTool } from './swarm-tool';
import { v4 as uuidv4 } from 'uuid';
export interface Session {
id: string;
messages: any[];
context: any;
createdAt: Date;
updatedAt: Date;
}
export class InteractiveAgent {
private rl: readline.Interface;
private agent: ConfigurableAgentLoop;
private sessionId: string;
private sessionDir: string;
private swarmTool: SwarmTool;
private swarmEnabled: boolean = false;
private swarmCount: number = 5;
constructor(provider?: LLMProvider, swarmCount?: number) {
this.sessionId = uuidv4();
this.sessionDir = path.join(process.cwd(), '.dev-sessions');
this.swarmTool = new SwarmTool();
if (swarmCount) {
this.swarmEnabled = true;
this.swarmCount = swarmCount;
}
// Ensure session directory exists
if (!fs.existsSync(this.sessionDir)) {
fs.mkdirSync(this.sessionDir, { recursive: true });
}
// Create readline interface
this.rl = readline.createInterface({
input: process.stdin,
output: process.stdout,
prompt: chalk.cyan('dev> ')
});
// Initialize agent with config
const config: AgentLoopConfig = {
provider: provider || this.getDefaultProvider(),
maxIterations: 10,
enableMCP: true,
enableBrowser: false,
enableSwarm: this.swarmEnabled,
streamOutput: true,
confirmActions: false
};
this.agent = new ConfigurableAgentLoop(config);
this.setupAgentTools();
}
private getDefaultProvider(): LLMProvider {
// Check for available providers
const providers = ConfigurableAgentLoop.getAvailableProviders();
return providers[0] || {
name: 'Local',
type: 'local',
model: 'dev-agent',
supportsTools: true,
supportsStreaming: false
};
}
private setupAgentTools(): void {
// Add swarm tool if enabled
if (this.swarmEnabled) {
this.agent.addTool({
name: 'distribute_work',
description: 'Distribute work across multiple parallel agents',
parameters: {
files: { type: 'array', description: 'Files to process' },
task: { type: 'string', description: 'Task to perform on files' },
batchSize: { type: 'number', description: 'Files per worker', default: 5 }
},
execute: async (params: any) => {
const tasks = this.swarmTool.createTaskBatches(
params.files,
params.batchSize || 5,
params.task,
this.agent.config.provider.type
);
const results = await this.swarmTool.executeParallelTasks(tasks);
return {
success: true,
results: results,
summary: `Processed ${params.files.length} files across ${tasks.length} workers`
};
}
});
}
// Add session management tools
this.agent.addTool({
name: 'save_session',
description: 'Save the current session',
parameters: {
name: { type: 'string', description: 'Session name', optional: true }
},
execute: async (params: any) => {
const sessionName = params.name || `session-${Date.now()}`;
await this.saveSession(sessionName);
return { success: true, message: `Session saved as: ${sessionName}` };
}
});
this.agent.addTool({
name: 'load_session',
description: 'Load a previous session',
parameters: {
name: { type: 'string', description: 'Session name or ID' }
},
execute: async (params: any) => {
const loaded = await this.loadSession(params.name);
return {
success: loaded,
message: loaded ? `Session loaded: ${params.name}` : 'Session not found'
};
}
});
}
async start(initialPrompt?: string): Promise<void> {
console.log(chalk.bold.cyan('\n🤖 Hanzo Dev Interactive Mode\n'));
console.log(chalk.gray('Type your commands or questions. Use /help for available commands.\n'));
if (this.swarmEnabled) {
console.log(chalk.yellow(`🐝 Swarm mode enabled with ${this.swarmCount} workers\n`));
}
// Handle initial prompt if provided
if (initialPrompt) {
await this.handleInput(initialPrompt);
}
// Show prompt
this.rl.prompt();
// Handle line input
this.rl.on('line', async (line) => {
const input = line.trim();
if (!input) {
this.rl.prompt();
return;
}
// Handle special commands
if (input.startsWith('/')) {
await this.handleCommand(input);
} else {
await this.handleInput(input);
}
this.rl.prompt();
});
// Handle close
this.rl.on('close', () => {
console.log(chalk.gray('\nGoodbye! 👋'));
this.cleanup();
process.exit(0);
});
}
private async handleCommand(command: string): Promise<void> {
const [cmd, ...args] = command.split(' ');
switch (cmd) {
case '/help':
this.showHelp();
break;
case '/save':
await this.saveSession(args[0] || `session-${Date.now()}`);
console.log(chalk.green('Session saved!'));
break;
case '/load':
if (args[0]) {
const loaded = await this.loadSession(args[0]);
if (loaded) {
console.log(chalk.green('Session loaded!'));
} else {
console.log(chalk.red('Session not found!'));
}
} else {
await this.listSessions();
}
break;
case '/clear':
console.clear();
break;
case '/exit':
case '/quit':
this.rl.close();
break;
case '/swarm':
if (args[0] === 'on') {
this.swarmEnabled = true;
this.setupAgentTools();
console.log(chalk.yellow('Swarm mode enabled'));
} else if (args[0] === 'off') {
this.swarmEnabled = false;
console.log(chalk.gray('Swarm mode disabled'));
} else {
console.log(chalk.gray(`Swarm mode: ${this.swarmEnabled ? 'ON' : 'OFF'}`));
}
break;
default:
console.log(chalk.red(`Unknown command: ${cmd}`));
console.log(chalk.gray('Use /help for available commands'));
}
}
private async handleInput(input: string): Promise<void> {
try {
// Send to agent
const response = await this.agent.processMessage(input);
// Response is streamed by the agent if streaming is enabled
if (!this.agent.config.streamOutput) {
console.log(response);
}
} catch (error) {
console.error(chalk.red(`Error: ${error}`));
}
}
private showHelp(): void {
console.log(chalk.bold('\nAvailable Commands:'));
console.log(chalk.gray(' /help - Show this help message'));
console.log(chalk.gray(' /save [name] - Save current session'));
console.log(chalk.gray(' /load [name] - Load a previous session (or list if no name)'));
console.log(chalk.gray(' /clear - Clear the screen'));
console.log(chalk.gray(' /swarm on/off - Toggle swarm mode'));
console.log(chalk.gray(' /exit - Exit interactive mode'));
console.log(chalk.gray('\nJust type normally to chat with the agent!\n'));
}
private async saveSession(name: string): Promise<void> {
const session: Session = {
id: this.sessionId,
messages: this.agent.getMessages(),
context: this.agent.getContext(),
createdAt: new Date(),
updatedAt: new Date()
};
const sessionPath = path.join(this.sessionDir, `${name}.json`);
fs.writeFileSync(sessionPath, JSON.stringify(session, null, 2));
}
private async loadSession(name: string): Promise<boolean> {
const sessionPath = path.join(this.sessionDir, `${name}.json`);
if (!fs.existsSync(sessionPath)) {
// Try with .json extension if not provided
const altPath = path.join(this.sessionDir, `${name}.json`);
if (!fs.existsSync(altPath)) {
return false;
}
}
try {
const sessionData = JSON.parse(fs.readFileSync(sessionPath, 'utf-8'));
this.sessionId = sessionData.id;
this.agent.loadSession(sessionData.messages, sessionData.context);
return true;
} catch (error) {
console.error(chalk.red(`Error loading session: ${error}`));
return false;
}
}
private async listSessions(): Promise<void> {
const files = fs.readdirSync(this.sessionDir)
.filter(f => f.endsWith('.json'))
.map(f => f.replace('.json', ''));
if (files.length === 0) {
console.log(chalk.gray('No saved sessions found.'));
} else {
console.log(chalk.bold('\nSaved Sessions:'));
files.forEach(f => {
console.log(chalk.gray(` - ${f}`));
});
console.log(chalk.gray('\nUse /load <name> to load a session\n'));
}
}
private cleanup(): void {
this.swarmTool.cleanup();
}
}
+412
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@@ -0,0 +1,412 @@
import { spawn, ChildProcess } from 'child_process';
import * as path from 'path';
import * as fs from 'fs';
import chalk from 'chalk';
import ora from 'ora';
import { glob } from 'glob';
import { v4 as uuidv4 } from 'uuid';
interface WorkerTask {
id: string;
type: 'analyze' | 'edit' | 'verify';
files: string[];
instructions: string;
}
interface WorkerResult {
taskId: string;
workerId: string;
success: boolean;
files: string[];
summary: string;
errors?: string[];
}
interface SwarmWorker {
id: string;
process?: ChildProcess;
status: 'idle' | 'busy' | 'error';
currentTask?: WorkerTask;
}
export interface SwarmCoordinatorOptions {
provider: 'claude' | 'openai' | 'gemini' | 'grok' | 'local';
workerCount: number;
prompt: string;
cwd?: string;
pattern?: string;
maxIterations?: number;
}
export class SwarmCoordinator {
private options: SwarmCoordinatorOptions;
private workers: Map<string, SwarmWorker> = new Map();
private taskQueue: WorkerTask[] = [];
private results: WorkerResult[] = [];
private tempDir: string;
private iteration: number = 0;
constructor(options: SwarmCoordinatorOptions) {
this.options = {
...options,
cwd: options.cwd || process.cwd(),
maxIterations: options.maxIterations || 5
};
// Create temp directory for worker communication
this.tempDir = path.join(process.cwd(), '.swarm-tmp', uuidv4());
fs.mkdirSync(this.tempDir, { recursive: true });
}
async run(): Promise<void> {
const spinner = ora('Starting swarm coordinator...').start();
try {
// Phase 1: Initialize main coordinator
spinner.text = 'Initializing coordinator agent...';
const coordinator = await this.startCoordinator();
// Phase 2: Analyze the task and create work plan
spinner.text = 'Analyzing task and creating work plan...';
const workPlan = await this.analyzeTask(coordinator);
// Phase 3: Initialize worker pool
spinner.text = `Spawning ${this.options.workerCount} worker agents...`;
await this.initializeWorkers();
spinner.succeed('Worker pool initialized');
// Phase 4: Execute work plan with iterations
while (this.iteration < this.options.maxIterations && this.taskQueue.length > 0) {
this.iteration++;
console.log(chalk.cyan(`\n🔄 Iteration ${this.iteration}/${this.options.maxIterations}`));
// Distribute tasks to workers
await this.distributeTasks();
// Collect results
const iterationResults = await this.collectResults();
// Send results back to coordinator for analysis
const nextSteps = await this.coordinatorAnalyze(coordinator, iterationResults);
if (nextSteps.complete) {
console.log(chalk.green('\n✅ Task completed successfully!'));
break;
}
// Add new tasks to queue
this.taskQueue.push(...nextSteps.tasks);
}
// Phase 5: Final summary
await this.generateFinalReport(coordinator);
} catch (error) {
spinner.fail(`Swarm error: ${error}`);
throw error;
} finally {
// Cleanup
await this.cleanup();
}
}
private async startCoordinator(): Promise<ChildProcess> {
return new Promise((resolve, reject) => {
const coordinatorPrompt = `
You are the coordinator of a swarm of AI agents. Your role is to:
1. Analyze the main task: "${this.options.prompt}"
2. Break it down into smaller tasks for worker agents
3. Collect and analyze results from workers
4. Decide on next steps based on results
5. Determine when the overall task is complete
Working directory: ${this.options.cwd}
Number of workers available: ${this.options.workerCount}
First, analyze the task and create a work plan.
`;
const args = this.buildCoordinatorArgs(coordinatorPrompt);
const coordinator = spawn(this.getCommand(), args, {
cwd: this.options.cwd,
env: this.getEnv()
});
// Set up communication via temp files
const outputPath = path.join(this.tempDir, 'coordinator-output.json');
let output = '';
coordinator.stdout?.on('data', (data) => {
output += data.toString();
});
coordinator.stderr?.on('data', (data) => {
console.error(chalk.red('Coordinator error:'), data.toString());
});
coordinator.on('error', (error) => {
reject(new Error(`Failed to start coordinator: ${error.message}`));
});
// Give coordinator time to initialize
setTimeout(() => resolve(coordinator), 2000);
});
}
private async analyzeTask(coordinator: ChildProcess): Promise<WorkerTask[]> {
// Send analysis request to coordinator
const analysisPrompt = `
Analyze the files in the current directory and create a work plan.
Output your plan as a JSON array of tasks in the following format:
{
"tasks": [
{
"type": "analyze|edit|verify",
"files": ["file1.js", "file2.js"],
"instructions": "Specific instructions for this task"
}
]
}
`;
// Write prompt to temp file for coordinator to read
const promptPath = path.join(this.tempDir, 'analysis-prompt.txt');
fs.writeFileSync(promptPath, analysisPrompt);
// Wait for coordinator response
const responsePath = path.join(this.tempDir, 'analysis-response.json');
// In real implementation, we'd wait for the coordinator to write the response
// For now, let's create a default work plan based on files found
const files = await this.findFiles();
const tasks: WorkerTask[] = [];
// Group files into batches for workers
const batchSize = Math.ceil(files.length / this.options.workerCount);
for (let i = 0; i < files.length; i += batchSize) {
const batch = files.slice(i, i + batchSize);
tasks.push({
id: uuidv4(),
type: 'edit',
files: batch,
instructions: this.options.prompt
});
}
this.taskQueue.push(...tasks);
return tasks;
}
private async initializeWorkers(): Promise<void> {
for (let i = 0; i < this.options.workerCount; i++) {
const worker: SwarmWorker = {
id: `worker-${i}`,
status: 'idle'
};
this.workers.set(worker.id, worker);
}
}
private async distributeTasks(): Promise<void> {
const availableWorkers = Array.from(this.workers.values()).filter(w => w.status === 'idle');
for (const worker of availableWorkers) {
if (this.taskQueue.length === 0) break;
const task = this.taskQueue.shift()!;
worker.currentTask = task;
worker.status = 'busy';
// Start worker process
await this.startWorker(worker, task);
}
}
private async startWorker(worker: SwarmWorker, task: WorkerTask): Promise<void> {
const workerPrompt = `
You are worker ${worker.id} in a swarm of AI agents.
Your task: ${task.instructions}
Files to process: ${task.files.join(', ')}
Complete the task and report your results.
`;
const args = this.buildWorkerArgs(workerPrompt, task.files);
const process = spawn(this.getCommand(), args, {
cwd: this.options.cwd,
env: this.getEnv()
});
worker.process = process;
let output = '';
process.stdout?.on('data', (data) => {
output += data.toString();
});
process.on('close', (code) => {
// Save result
const result: WorkerResult = {
taskId: task.id,
workerId: worker.id,
success: code === 0,
files: task.files,
summary: output,
errors: code !== 0 ? [output] : undefined
};
this.results.push(result);
worker.status = 'idle';
worker.currentTask = undefined;
});
}
private async collectResults(): Promise<WorkerResult[]> {
// Wait for all busy workers to complete
await new Promise<void>((resolve) => {
const checkInterval = setInterval(() => {
const busyWorkers = Array.from(this.workers.values()).filter(w => w.status === 'busy');
if (busyWorkers.length === 0) {
clearInterval(checkInterval);
resolve();
}
}, 1000);
});
// Return results from this iteration
const iterationResults = [...this.results];
this.results = []; // Clear for next iteration
return iterationResults;
}
private async coordinatorAnalyze(coordinator: ChildProcess, results: WorkerResult[]): Promise<{
complete: boolean;
tasks: WorkerTask[];
}> {
// Send results to coordinator for analysis
const analysisPrompt = `
Worker results from iteration ${this.iteration}:
${JSON.stringify(results, null, 2)}
Analyze these results and determine:
1. Is the overall task complete?
2. If not, what additional tasks need to be performed?
Respond with JSON:
{
"complete": true/false,
"tasks": [...] // New tasks if not complete
}
`;
// In real implementation, communicate with coordinator
// For now, assume task is complete after first iteration
return {
complete: true,
tasks: []
};
}
private async generateFinalReport(coordinator: ChildProcess): Promise<void> {
console.log(chalk.bold.cyan('\n📊 Swarm Execution Summary\n'));
console.log(chalk.white('Total iterations:'), this.iteration);
console.log(chalk.white('Workers used:'), this.options.workerCount);
console.log(chalk.white('Tasks completed:'), this.results.length);
// Show results summary
const successful = this.results.filter(r => r.success).length;
const failed = this.results.filter(r => !r.success).length;
console.log(chalk.green('Successful:'), successful);
if (failed > 0) {
console.log(chalk.red('Failed:'), failed);
}
}
private async cleanup(): Promise<void> {
// Kill any remaining processes
for (const worker of this.workers.values()) {
if (worker.process) {
worker.process.kill();
}
}
// Remove temp directory
if (fs.existsSync(this.tempDir)) {
fs.rmSync(this.tempDir, { recursive: true, force: true });
}
}
private async findFiles(): Promise<string[]> {
// Reuse logic from original swarm-runner
return new Promise((resolve, reject) => {
const options = {
cwd: this.options.cwd,
nodir: true,
ignore: [
'**/node_modules/**',
'**/.git/**',
'**/dist/**',
'**/build/**'
]
};
glob(this.options.pattern || '**/*', options, (err, files) => {
if (err) {
reject(err);
} else {
const editableFiles = files.filter(file => {
const ext = path.extname(file);
return ['.js', '.ts', '.jsx', '.tsx', '.py', '.java', '.go', '.rs', '.md', '.txt', '.json', '.yaml', '.yml'].includes(ext);
});
resolve(editableFiles);
}
});
});
}
private getCommand(): string {
switch (this.options.provider) {
case 'claude': return 'claude';
case 'openai': return 'openai';
case 'gemini': return 'gemini';
case 'grok': return 'grok';
case 'local': return 'dev';
default: return 'claude';
}
}
private buildCoordinatorArgs(prompt: string): string[] {
// Build args specific to each provider for the coordinator
switch (this.options.provider) {
case 'claude':
return ['-p', prompt, '--thinking'];
case 'local':
return ['agent', '-p', prompt];
default:
return [prompt];
}
}
private buildWorkerArgs(prompt: string, files: string[]): string[] {
// Build args specific to each provider for workers
switch (this.options.provider) {
case 'claude':
return ['-p', prompt, ...files];
case 'local':
return ['agent', '-p', prompt, ...files];
default:
return [prompt, ...files];
}
}
private getEnv(): NodeJS.ProcessEnv {
return {
...process.env,
ANTHROPIC_API_KEY: process.env.ANTHROPIC_API_KEY,
OPENAI_API_KEY: process.env.OPENAI_API_KEY,
GOOGLE_API_KEY: process.env.GOOGLE_API_KEY,
GROK_API_KEY: process.env.GROK_API_KEY
};
}
}
+23 -27
View File
@@ -1,6 +1,6 @@
import * as fs from 'fs';
import * as path from 'path';
import { glob } from 'glob';
import { glob, globSync } from 'glob';
import chalk from 'chalk';
import ora from 'ora';
import { spawn, ChildProcess } from 'child_process';
@@ -88,9 +88,9 @@ export class SwarmRunner extends EventEmitter {
}
private async findFiles(): Promise<string[]> {
return new Promise((resolve, reject) => {
try {
const options = {
cwd: this.options.cwd,
cwd: this.options.cwd || process.cwd(),
nodir: true,
ignore: [
'**/node_modules/**',
@@ -98,35 +98,31 @@ export class SwarmRunner extends EventEmitter {
'**/dist/**',
'**/build/**',
'**/*.min.js',
'**/*.map'
]
'**/*.map',
'**/.swarm-tmp/**'
],
absolute: false
};
// Add timeout to prevent hanging
const timeout = setTimeout(() => {
reject(new Error('File search timed out'));
}, 30000);
const pattern = this.options.pattern || '**/*';
console.log(chalk.gray(`Searching with pattern: ${pattern} in ${options.cwd || process.cwd()}`));
console.log(chalk.gray(`Searching with pattern: ${pattern} in ${options.cwd}`));
glob(pattern, options, (err, files) => {
clearTimeout(timeout);
if (err) {
console.error(chalk.red('Glob error:'), err);
reject(err);
} else {
console.log(chalk.gray(`Found ${files.length} total files`));
// Filter to only editable files
const editableFiles = files.filter(file => {
const ext = path.extname(file);
return ['.js', '.ts', '.jsx', '.tsx', '.py', '.java', '.cpp', '.c', '.h', '.go', '.rs', '.rb', '.php', '.swift', '.kt', '.scala', '.r', '.m', '.mm', '.md', '.txt', '.json', '.xml', '.yaml', '.yml', '.toml', '.ini', '.conf', '.sh', '.bash', '.zsh', '.fish', '.ps1', '.bat', '.cmd'].includes(ext);
});
console.log(chalk.gray(`Filtered to ${editableFiles.length} editable files`));
resolve(editableFiles);
}
// Use sync version for reliability
const files = globSync(pattern, options);
console.log(chalk.gray(`Found ${files.length} total files`));
// Filter to only editable files
const editableFiles = files.filter(file => {
const ext = path.extname(file);
return ['.js', '.ts', '.jsx', '.tsx', '.py', '.java', '.cpp', '.c', '.h', '.go', '.rs', '.rb', '.php', '.swift', '.kt', '.scala', '.r', '.m', '.mm', '.md', '.txt', '.json', '.xml', '.yaml', '.yml', '.toml', '.ini', '.conf', '.sh', '.bash', '.zsh', '.fish', '.ps1', '.bat', '.cmd'].includes(ext);
});
});
console.log(chalk.gray(`Filtered to ${editableFiles.length} editable files`));
return editableFiles;
} catch (error) {
console.error(chalk.red('Error finding files:'), error);
return [];
}
}
private async processFiles(): Promise<void> {
+191
View File
@@ -0,0 +1,191 @@
import { spawn, ChildProcess } from 'child_process';
import * as path from 'path';
import chalk from 'chalk';
import { v4 as uuidv4 } from 'uuid';
export interface SwarmTask {
id: string;
files: string[];
instructions: string;
provider: string;
}
export interface SwarmResult {
taskId: string;
success: boolean;
filesProcessed: string[];
summary: string;
errors?: string[];
}
export class SwarmTool {
private activeWorkers: Map<string, ChildProcess> = new Map();
/**
* Execute tasks in parallel using worker agents
* This tool is called by the main agent loop to distribute work
*/
async executeParallelTasks(tasks: SwarmTask[]): Promise<SwarmResult[]> {
console.log(chalk.cyan(`\n🐝 Distributing ${tasks.length} tasks to swarm workers...\n`));
const results: SwarmResult[] = [];
const promises = tasks.map(task => this.executeTask(task));
try {
const taskResults = await Promise.all(promises);
results.push(...taskResults);
} catch (error) {
console.error(chalk.red('Swarm execution error:'), error);
}
return results;
}
/**
* Execute a single task with a worker agent
*/
private async executeTask(task: SwarmTask): Promise<SwarmResult> {
return new Promise((resolve) => {
const workerId = `worker-${uuidv4().slice(0, 8)}`;
console.log(chalk.gray(`[${workerId}] Processing ${task.files.length} files...`));
// Build command based on provider
const { cmd, args } = this.buildCommand(task);
// Spawn worker process
const worker = spawn(cmd, args, {
cwd: process.cwd(),
env: {
...process.env,
// Ensure worker runs in non-interactive mode
CLAUDE_CODE_PERMISSION_MODE: 'acceptEdits'
}
});
this.activeWorkers.set(workerId, worker);
let output = '';
let errorOutput = '';
worker.stdout?.on('data', (data) => {
output += data.toString();
});
worker.stderr?.on('data', (data) => {
errorOutput += data.toString();
});
worker.on('close', (code) => {
this.activeWorkers.delete(workerId);
const result: SwarmResult = {
taskId: task.id,
success: code === 0,
filesProcessed: task.files,
summary: output || 'No output captured',
errors: code !== 0 ? [errorOutput || `Process exited with code ${code}`] : undefined
};
if (code === 0) {
console.log(chalk.green(`[${workerId}] ✓ Completed successfully`));
} else {
console.log(chalk.red(`[${workerId}] ✗ Failed with code ${code}`));
}
resolve(result);
});
// Add timeout to prevent hanging
setTimeout(() => {
if (this.activeWorkers.has(workerId)) {
console.log(chalk.yellow(`[${workerId}] Timeout - killing worker`));
worker.kill();
this.activeWorkers.delete(workerId);
resolve({
taskId: task.id,
success: false,
filesProcessed: task.files,
summary: 'Worker timed out',
errors: ['Task execution timed out after 5 minutes']
});
}
}, 5 * 60 * 1000); // 5 minute timeout per task
});
}
/**
* Build command and arguments based on provider
*/
private buildCommand(task: SwarmTask): { cmd: string; args: string[] } {
const prompt = `${task.instructions}\n\nFiles to process:\n${task.files.join('\n')}`;
switch (task.provider) {
case 'claude':
return {
cmd: 'claude',
args: [
'-p', prompt,
'--max-turns', '5',
'--thinking',
...task.files
]
};
case 'openai':
return {
cmd: 'openai',
args: ['chat', '--prompt', prompt, ...task.files]
};
case 'gemini':
return {
cmd: 'gemini',
args: ['edit', '--prompt', prompt, ...task.files]
};
case 'local':
return {
cmd: 'dev',
args: ['agent', '-p', prompt, ...task.files]
};
default:
return {
cmd: 'claude',
args: ['-p', prompt, ...task.files]
};
}
}
/**
* Create task batches for parallel execution
* Called by the main agent to divide work
*/
createTaskBatches(files: string[], batchSize: number, instructions: string, provider: string): SwarmTask[] {
const tasks: SwarmTask[] = [];
for (let i = 0; i < files.length; i += batchSize) {
const batch = files.slice(i, i + batchSize);
tasks.push({
id: uuidv4(),
files: batch,
instructions,
provider
});
}
return tasks;
}
/**
* Cleanup any remaining workers
*/
cleanup(): void {
for (const [workerId, worker] of this.activeWorkers) {
console.log(chalk.yellow(`Cleaning up worker ${workerId}`));
worker.kill();
}
this.activeWorkers.clear();
}
}
Vendored Submodule
+1
Submodule test/fixtures/genjo added at 3bcfd01559