can1357
0fe761dc4b
- Added tsconfig.publish.json files to all packages with optimized publish-time configuration. - Updated all package.json scripts with prepublishOnly hooks for correct type checking during publish. - Added @oh-my-pi/omp-stats path mappings to root tsconfig.json for consistent imports. - Added WASM generation script for photon module and integrated into install:dev script.
1061 lines
32 KiB
TypeScript
1061 lines
32 KiB
TypeScript
/**
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* Worker execution for subagents.
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*
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* Runs each subagent in a Bun Worker and forwards AgentEvents for progress tracking.
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*/
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import path from "node:path";
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import type { AgentEvent, ThinkingLevel } from "@oh-my-pi/pi-agent-core";
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import type { ModelRegistry } from "@oh-my-pi/pi-coding-agent/config/model-registry";
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import { formatModelString, parseModelPattern } from "@oh-my-pi/pi-coding-agent/config/model-resolver";
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import { checkPythonKernelAvailability } from "@oh-my-pi/pi-coding-agent/ipy/kernel";
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import { LspTool } from "@oh-my-pi/pi-coding-agent/lsp/index";
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import type { LspParams } from "@oh-my-pi/pi-coding-agent/lsp/types";
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import { callTool } from "@oh-my-pi/pi-coding-agent/mcp/client";
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import type { MCPManager } from "@oh-my-pi/pi-coding-agent/mcp/manager";
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import type { AuthStorage } from "@oh-my-pi/pi-coding-agent/session/auth-storage";
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import { PythonTool, type PythonToolParams } from "@oh-my-pi/pi-coding-agent/tools/python";
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import type { EventBus } from "@oh-my-pi/pi-coding-agent/utils/event-bus";
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import type { ToolSession } from "..";
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import { subprocessToolRegistry } from "./subprocess-tool-registry";
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import {
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type AgentDefinition,
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type AgentProgress,
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MAX_OUTPUT_BYTES,
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MAX_OUTPUT_LINES,
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type ReviewFinding,
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type SingleResult,
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TASK_SUBAGENT_EVENT_CHANNEL,
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TASK_SUBAGENT_PROGRESS_CHANNEL,
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} from "./types";
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import type {
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LspToolCallRequest,
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MCPToolCallRequest,
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MCPToolMetadata,
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PythonToolCallCancel,
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PythonToolCallRequest,
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SubagentWorkerRequest,
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SubagentWorkerResponse,
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} from "./worker-protocol";
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/** Options for worker execution */
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export interface ExecutorOptions {
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cwd: string;
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worktree?: string;
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agent: AgentDefinition;
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task: string;
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description?: string;
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index: number;
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id: string;
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context?: string;
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modelOverride?: string;
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thinkingLevel?: ThinkingLevel;
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outputSchema?: unknown;
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enableLsp?: boolean;
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signal?: AbortSignal;
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onProgress?: (progress: AgentProgress) => void;
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sessionFile?: string | null;
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persistArtifacts?: boolean;
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artifactsDir?: string;
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eventBus?: EventBus;
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mcpManager?: MCPManager;
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authStorage?: AuthStorage;
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modelRegistry?: ModelRegistry;
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settingsManager?: {
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serialize: () => import("@oh-my-pi/pi-coding-agent/config/settings-manager").Settings;
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getPythonToolMode?: () => "ipy-only" | "bash-only" | "both";
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getPythonKernelMode?: () => "session" | "per-call";
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getPythonSharedGateway?: () => boolean;
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};
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}
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/**
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* Truncate output to byte and line limits.
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*/
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function truncateOutput(output: string): { text: string; truncated: boolean } {
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let truncated = false;
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let byteBudget = MAX_OUTPUT_BYTES;
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let lineBudget = MAX_OUTPUT_LINES;
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let i = 0;
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let lastNewlineIndex = -1;
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while (i < output.length) {
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const codePoint = output.codePointAt(i);
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if (codePoint === undefined) break;
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const codeUnitLength = codePoint > 0xffff ? 2 : 1;
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const byteLen = codePoint <= 0x7f ? 1 : codePoint <= 0x7ff ? 2 : codePoint <= 0xffff ? 3 : 4;
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if (byteBudget - byteLen < 0) {
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truncated = true;
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break;
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}
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byteBudget -= byteLen;
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i += codeUnitLength;
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if (codePoint === 0x0a) {
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lineBudget--;
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lastNewlineIndex = i - 1;
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if (lineBudget <= 0) {
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truncated = true;
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break;
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}
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}
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}
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if (i < output.length) {
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truncated = true;
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}
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if (truncated && lineBudget <= 0 && lastNewlineIndex >= 0) {
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output = output.slice(0, lastNewlineIndex);
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} else {
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output = output.slice(0, i);
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}
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return { text: output, truncated };
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}
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/**
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* Extract a short preview from tool args for display.
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*/
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function extractToolArgsPreview(args: Record<string, unknown>): string {
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// Priority order for preview
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const previewKeys = ["command", "file_path", "path", "pattern", "query", "url", "task", "prompt"];
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for (const key of previewKeys) {
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if (args[key] && typeof args[key] === "string") {
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const value = args[key] as string;
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return value.length > 60 ? `${value.slice(0, 57)}...` : value;
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}
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}
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return "";
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}
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function getNumberField(record: Record<string, unknown>, key: string): number | undefined {
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if (!Object.hasOwn(record, key)) return undefined;
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const value = record[key];
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return typeof value === "number" && Number.isFinite(value) ? value : 0;
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}
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function firstNumberField(record: Record<string, unknown>, keys: string[]): number | undefined {
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for (const key of keys) {
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const value = getNumberField(record, key);
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if (value !== undefined) return value;
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}
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return undefined;
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}
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/**
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* Normalize usage objects from different event formats.
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*/
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function getUsageTokens(usage: unknown): number {
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if (!usage || typeof usage !== "object") return 0;
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const record = usage as Record<string, unknown>;
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const totalTokens = firstNumberField(record, ["totalTokens", "total_tokens"]);
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if (totalTokens !== undefined && totalTokens > 0) return totalTokens;
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const input = firstNumberField(record, ["input", "input_tokens", "inputTokens"]) ?? 0;
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const output = firstNumberField(record, ["output", "output_tokens", "outputTokens"]) ?? 0;
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const cacheRead = firstNumberField(record, ["cacheRead", "cache_read", "cacheReadTokens"]) ?? 0;
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const cacheWrite = firstNumberField(record, ["cacheWrite", "cache_write", "cacheWriteTokens"]) ?? 0;
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return input + output + cacheRead + cacheWrite;
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}
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/**
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* Extract MCP tool metadata from MCPManager for passing to worker.
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*
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* MCPTool and DeferredMCPTool expose mcpToolName (original MCP tool name)
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* and mcpServerName properties. We use these directly when available,
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* falling back to empty strings if not.
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*/
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function extractMCPToolMetadata(mcpManager: MCPManager): MCPToolMetadata[] {
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return mcpManager.getTools().map((tool) => {
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// MCPTool and DeferredMCPTool have these properties
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const mcpTool = tool as { mcpToolName?: string; mcpServerName?: string };
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return {
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name: tool.name,
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label: tool.label ?? tool.name,
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description: tool.description ?? "",
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parameters: tool.parameters,
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serverName: mcpTool.mcpServerName ?? "",
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mcpToolName: mcpTool.mcpToolName ?? "",
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};
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});
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}
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/**
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* Run a single agent in a worker.
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*/
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export async function runSubprocess(options: ExecutorOptions): Promise<SingleResult> {
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const {
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cwd,
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agent,
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task,
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index,
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id,
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worktree,
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context,
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modelOverride,
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thinkingLevel,
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outputSchema,
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enableLsp,
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signal,
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onProgress,
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} = options;
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const startTime = Date.now();
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// Initialize progress
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const progress: AgentProgress = {
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index,
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id,
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agent: agent.name,
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agentSource: agent.source,
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status: "running",
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task,
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description: options.description,
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recentTools: [],
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recentOutput: [],
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toolCount: 0,
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tokens: 0,
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durationMs: 0,
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modelOverride,
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};
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// Check if already aborted
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if (signal?.aborted) {
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return {
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index,
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id,
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agent: agent.name,
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agentSource: agent.source,
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task,
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description: options.description,
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exitCode: 1,
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output: "",
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stderr: "Aborted before start",
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truncated: false,
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durationMs: 0,
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tokens: 0,
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modelOverride,
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error: "Aborted",
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};
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}
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// Build full task with context
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const fullTask = context ? `${context}\n\n${task}` : task;
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// Set up artifact paths and write input file upfront if artifacts dir provided
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let subtaskSessionFile: string | undefined;
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if (options.artifactsDir) {
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subtaskSessionFile = path.join(options.artifactsDir, `${id}.jsonl`);
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}
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// Add tools if specified
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let toolNames: string[] | undefined;
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if (agent.tools && agent.tools.length > 0) {
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toolNames = agent.tools;
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// Auto-include task tool if spawns defined but task not in tools
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if (agent.spawns !== undefined && !toolNames.includes("task")) {
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toolNames = [...toolNames, "task"];
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}
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}
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const pythonToolMode = options.settingsManager?.getPythonToolMode?.() ?? "ipy-only";
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if (toolNames?.includes("exec")) {
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const expanded = toolNames.filter((name) => name !== "exec");
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if (pythonToolMode === "bash-only") {
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expanded.push("bash");
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} else if (pythonToolMode === "ipy-only") {
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expanded.push("python");
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} else {
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expanded.push("python", "bash");
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}
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toolNames = Array.from(new Set(expanded));
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}
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const serializedSettings = options.settingsManager?.serialize();
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const availableModels = options.modelRegistry?.getAvailable() ?? [];
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// Resolve model pattern to provider/modelId string
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const modelPattern = modelOverride ?? agent.model;
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let resolvedModel: string | undefined;
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if (modelPattern) {
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// Handle omp/<role> or pi/<role> aliases (e.g., "omp/slow", "pi/fast")
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let effectivePattern = modelPattern;
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const lower = modelPattern.toLowerCase();
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if (lower.startsWith("omp/") || lower.startsWith("pi/")) {
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const role = lower.startsWith("omp/") ? modelPattern.slice(4) : modelPattern.slice(3);
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const roles = serializedSettings?.modelRoles as Record<string, string> | undefined;
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const configured = roles?.[role] ?? roles?.[role.toLowerCase()];
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if (configured) {
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effectivePattern = configured;
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}
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}
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const { model } = parseModelPattern(effectivePattern, availableModels);
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resolvedModel = model ? formatModelString(model) : undefined;
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}
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const sessionFile = subtaskSessionFile ?? null;
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const spawnsEnv = agent.spawns === undefined ? "" : agent.spawns === "*" ? "*" : agent.spawns.join(",");
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const pythonToolRequested = toolNames === undefined || toolNames.includes("python");
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let pythonProxyEnabled = pythonToolRequested && pythonToolMode !== "bash-only";
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if (pythonProxyEnabled) {
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const availability = await checkPythonKernelAvailability(cwd);
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pythonProxyEnabled = availability.ok;
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}
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const lspEnabled = enableLsp ?? true;
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const lspToolRequested = lspEnabled && (toolNames === undefined || toolNames.includes("lsp"));
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let worker: Worker;
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try {
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worker = new Worker(new URL("./worker.ts", import.meta.url), { type: "module" });
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} catch (err) {
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return {
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index,
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id,
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agent: agent.name,
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agentSource: agent.source,
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task,
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description: options.description,
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exitCode: 1,
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output: "",
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stderr: `Failed to create worker: ${err instanceof Error ? err.message : String(err)}`,
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truncated: false,
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durationMs: Date.now() - startTime,
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tokens: 0,
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modelOverride,
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error: `Failed to create worker: ${err instanceof Error ? err.message : String(err)}`,
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};
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}
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const outputChunks: string[] = [];
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const finalOutputChunks: string[] = [];
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let stderr = "";
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let resolved = false;
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type AbortReason = "signal" | "terminate";
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let abortSent = false;
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let abortReason: AbortReason | undefined;
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let terminationScheduled = false;
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let terminated = false;
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let terminationTimeoutId: ReturnType<typeof setTimeout> | null = null;
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let pendingTerminationTimeoutId: ReturnType<typeof setTimeout> | null = null;
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let finalize: ((message: Extract<SubagentWorkerResponse, { type: "done" }>) => void) | null = null;
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const listenerController = new AbortController();
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const listenerSignal = listenerController.signal;
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const withTimeout = async <T>(promise: Promise<T>, timeoutMs?: number): Promise<T> => {
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if (timeoutMs === undefined) return promise;
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let timeoutId: ReturnType<typeof setTimeout> | undefined;
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try {
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return await Promise.race([
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promise,
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new Promise<T>((_resolve, reject) => {
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timeoutId = setTimeout(() => {
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reject(new Error(`Tool call timed out after ${timeoutMs}ms`));
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}, timeoutMs);
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}),
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]);
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} finally {
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if (timeoutId) clearTimeout(timeoutId);
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}
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};
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const combineSignals = (signals: Array<AbortSignal | undefined>): AbortSignal | undefined => {
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const filtered = signals.filter((value): value is AbortSignal => Boolean(value));
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if (filtered.length === 0) return undefined;
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if (filtered.length === 1) return filtered[0];
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return AbortSignal.any(filtered);
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};
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const createTimeoutSignal = (timeoutMs?: number): AbortSignal | undefined => {
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if (typeof timeoutMs !== "number" || !Number.isFinite(timeoutMs) || timeoutMs <= 0) {
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return undefined;
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}
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return AbortSignal.timeout(timeoutMs);
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};
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const pythonSessionFile = sessionFile ?? `subtask:${id}`;
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const pythonToolSession: ToolSession = {
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cwd,
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hasUI: false,
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enableLsp: false,
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getSessionFile: () => pythonSessionFile,
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getSessionSpawns: () => spawnsEnv,
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settings: options.settingsManager as ToolSession["settings"],
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settingsManager: options.settingsManager,
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};
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const pythonTool = pythonProxyEnabled ? new PythonTool(pythonToolSession) : null;
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const pythonCallControllers = new Map<string, AbortController>();
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const lspToolSession: ToolSession = {
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cwd,
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hasUI: false,
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enableLsp: lspEnabled,
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getSessionFile: () => pythonSessionFile,
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getSessionSpawns: () => spawnsEnv,
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settings: options.settingsManager as ToolSession["settings"],
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settingsManager: options.settingsManager,
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};
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const lspTool = lspToolRequested ? new LspTool(lspToolSession) : null;
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// Accumulate usage incrementally from message_end events (no memory for streaming events)
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const accumulatedUsage = {
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input: 0,
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output: 0,
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cacheRead: 0,
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cacheWrite: 0,
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totalTokens: 0,
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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
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};
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let hasUsage = false;
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const scheduleTermination = () => {
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if (terminationScheduled) return;
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terminationScheduled = true;
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terminationTimeoutId = setTimeout(() => {
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terminationTimeoutId = null;
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if (resolved || terminated) return;
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terminated = true;
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try {
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worker.terminate();
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} catch {
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// Ignore termination errors
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}
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if (finalize && !resolved) {
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finalize({
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type: "done",
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exitCode: 1,
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durationMs: Date.now() - startTime,
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error: abortReason === "signal" ? "Aborted" : "Worker terminated after tool completion",
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aborted: abortReason === "signal",
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});
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}
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}, 2000);
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};
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const requestAbort = (reason: AbortReason) => {
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if (abortSent) {
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if (reason === "signal" && abortReason !== "signal") {
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abortReason = "signal";
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}
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return;
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}
|
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if (resolved) return;
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abortSent = true;
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abortReason = reason;
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for (const controller of pythonCallControllers.values()) {
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controller.abort();
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}
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pythonCallControllers.clear();
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const abortMessage: SubagentWorkerRequest = { type: "abort" };
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try {
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worker.postMessage(abortMessage);
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} catch {
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// Worker already terminated, nothing to do
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}
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// Cancel pending termination if it exists
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cancelPendingTermination();
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scheduleTermination();
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};
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|
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const schedulePendingTermination = () => {
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if (pendingTerminationTimeoutId || abortSent || terminationScheduled || resolved) return;
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pendingTerminationTimeoutId = setTimeout(() => {
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pendingTerminationTimeoutId = null;
|
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if (!resolved) {
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requestAbort("terminate");
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}
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}, 2000);
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};
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|
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const cancelPendingTermination = () => {
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if (pendingTerminationTimeoutId) {
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clearTimeout(pendingTerminationTimeoutId);
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pendingTerminationTimeoutId = null;
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}
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};
|
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|
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// Handle abort signal
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|
const onAbort = () => {
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if (!resolved) requestAbort("signal");
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};
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if (signal) {
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signal.addEventListener("abort", onAbort, { once: true, signal: listenerSignal });
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}
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|
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const emitProgress = () => {
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progress.durationMs = Date.now() - startTime;
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onProgress?.({ ...progress });
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if (options.eventBus) {
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options.eventBus.emit(TASK_SUBAGENT_PROGRESS_CHANNEL, {
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index,
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agent: agent.name,
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agentSource: agent.source,
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task,
|
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progress: { ...progress },
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});
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}
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};
|
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|
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const getMessageContent = (message: unknown): unknown => {
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if (message && typeof message === "object" && "content" in message) {
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return (message as { content?: unknown }).content;
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}
|
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return undefined;
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};
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|
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const getMessageUsage = (message: unknown): unknown => {
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if (message && typeof message === "object" && "usage" in message) {
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return (message as { usage?: unknown }).usage;
|
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}
|
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return undefined;
|
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};
|
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|
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const processEvent = (event: AgentEvent) => {
|
|
if (resolved) return;
|
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|
|
if (options.eventBus) {
|
|
options.eventBus.emit(TASK_SUBAGENT_EVENT_CHANNEL, {
|
|
index,
|
|
agent: agent.name,
|
|
agentSource: agent.source,
|
|
task,
|
|
event,
|
|
});
|
|
}
|
|
|
|
const now = Date.now();
|
|
|
|
switch (event.type) {
|
|
case "tool_execution_start":
|
|
progress.toolCount++;
|
|
progress.currentTool = event.toolName;
|
|
progress.currentToolArgs = extractToolArgsPreview(
|
|
(event as { toolArgs?: Record<string, unknown> }).toolArgs || event.args || {},
|
|
);
|
|
progress.currentToolStartMs = now;
|
|
break;
|
|
|
|
case "tool_execution_end": {
|
|
if (progress.currentTool) {
|
|
progress.recentTools.unshift({
|
|
tool: progress.currentTool,
|
|
args: progress.currentToolArgs || "",
|
|
endMs: now,
|
|
});
|
|
// Keep only last 5
|
|
if (progress.recentTools.length > 5) {
|
|
progress.recentTools.pop();
|
|
}
|
|
}
|
|
progress.currentTool = undefined;
|
|
progress.currentToolArgs = undefined;
|
|
progress.currentToolStartMs = undefined;
|
|
|
|
// Check for registered subagent tool handler
|
|
const handler = subprocessToolRegistry.getHandler(event.toolName);
|
|
const eventArgs = (event as { args?: Record<string, unknown> }).args ?? {};
|
|
if (handler) {
|
|
// Extract data using handler
|
|
if (handler.extractData) {
|
|
const data = handler.extractData({
|
|
toolName: event.toolName,
|
|
toolCallId: event.toolCallId,
|
|
args: eventArgs,
|
|
result: event.result,
|
|
isError: event.isError,
|
|
});
|
|
if (data !== undefined) {
|
|
progress.extractedToolData = progress.extractedToolData || {};
|
|
progress.extractedToolData[event.toolName] = progress.extractedToolData[event.toolName] || [];
|
|
progress.extractedToolData[event.toolName].push(data);
|
|
}
|
|
}
|
|
|
|
// Check if handler wants to terminate worker
|
|
if (
|
|
handler.shouldTerminate?.({
|
|
toolName: event.toolName,
|
|
toolCallId: event.toolCallId,
|
|
args: eventArgs,
|
|
result: event.result,
|
|
isError: event.isError,
|
|
})
|
|
) {
|
|
// Don't terminate immediately - wait for message_end to get token counts
|
|
schedulePendingTermination();
|
|
}
|
|
}
|
|
break;
|
|
}
|
|
|
|
case "message_update": {
|
|
// Extract text for progress display only (replace, don't accumulate)
|
|
const updateContent =
|
|
getMessageContent(event.message) || (event as AgentEvent & { content?: unknown }).content;
|
|
if (updateContent && Array.isArray(updateContent)) {
|
|
const allText: string[] = [];
|
|
for (const block of updateContent) {
|
|
if (block.type === "text" && block.text) {
|
|
const lines = block.text.split("\n").filter((l: string) => l.trim());
|
|
allText.push(...lines);
|
|
}
|
|
}
|
|
// Show last 8 lines from current state (not accumulated)
|
|
progress.recentOutput = allText.slice(-8).reverse();
|
|
}
|
|
break;
|
|
}
|
|
|
|
case "message_end": {
|
|
// Extract text from assistant and toolResult messages (not user prompts)
|
|
const role = event.message?.role;
|
|
if (role === "assistant") {
|
|
const messageContent =
|
|
getMessageContent(event.message) || (event as AgentEvent & { content?: unknown }).content;
|
|
if (messageContent && Array.isArray(messageContent)) {
|
|
for (const block of messageContent) {
|
|
if (block.type === "text" && block.text) {
|
|
outputChunks.push(block.text);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
// Extract and accumulate usage (prefer message.usage, fallback to event.usage)
|
|
const messageUsage = getMessageUsage(event.message) || (event as AgentEvent & { usage?: unknown }).usage;
|
|
if (messageUsage && typeof messageUsage === "object") {
|
|
// Only count assistant messages (not tool results, etc.)
|
|
if (role === "assistant") {
|
|
const usageRecord = messageUsage as Record<string, unknown>;
|
|
const costRecord = (messageUsage as { cost?: Record<string, unknown> }).cost;
|
|
hasUsage = true;
|
|
accumulatedUsage.input += getNumberField(usageRecord, "input") ?? 0;
|
|
accumulatedUsage.output += getNumberField(usageRecord, "output") ?? 0;
|
|
accumulatedUsage.cacheRead += getNumberField(usageRecord, "cacheRead") ?? 0;
|
|
accumulatedUsage.cacheWrite += getNumberField(usageRecord, "cacheWrite") ?? 0;
|
|
accumulatedUsage.totalTokens += getNumberField(usageRecord, "totalTokens") ?? 0;
|
|
if (costRecord) {
|
|
accumulatedUsage.cost.input += getNumberField(costRecord, "input") ?? 0;
|
|
accumulatedUsage.cost.output += getNumberField(costRecord, "output") ?? 0;
|
|
accumulatedUsage.cost.cacheRead += getNumberField(costRecord, "cacheRead") ?? 0;
|
|
accumulatedUsage.cost.cacheWrite += getNumberField(costRecord, "cacheWrite") ?? 0;
|
|
accumulatedUsage.cost.total += getNumberField(costRecord, "total") ?? 0;
|
|
}
|
|
}
|
|
// Accumulate tokens for progress display
|
|
progress.tokens += getUsageTokens(messageUsage);
|
|
}
|
|
// If pending termination, now we have tokens - terminate immediately
|
|
if (pendingTerminationTimeoutId) {
|
|
cancelPendingTermination();
|
|
requestAbort("terminate");
|
|
}
|
|
break;
|
|
}
|
|
|
|
case "agent_end":
|
|
// Extract final content from assistant messages only (not user prompts)
|
|
if (event.messages && Array.isArray(event.messages)) {
|
|
for (const msg of event.messages) {
|
|
if ((msg as { role?: string })?.role !== "assistant") continue;
|
|
const messageContent = getMessageContent(msg);
|
|
if (messageContent && Array.isArray(messageContent)) {
|
|
for (const block of messageContent) {
|
|
if (block.type === "text" && block.text) {
|
|
finalOutputChunks.push(block.text);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
break;
|
|
}
|
|
|
|
emitProgress();
|
|
};
|
|
|
|
const startMessage: SubagentWorkerRequest = {
|
|
type: "start",
|
|
payload: {
|
|
cwd,
|
|
worktree,
|
|
task: fullTask,
|
|
systemPrompt: agent.systemPrompt,
|
|
model: resolvedModel,
|
|
thinkingLevel,
|
|
toolNames,
|
|
outputSchema,
|
|
sessionFile,
|
|
spawnsEnv,
|
|
enableLsp: lspEnabled,
|
|
serializedAuth: options.authStorage?.serialize(),
|
|
serializedModels: options.modelRegistry?.serialize(),
|
|
serializedSettings,
|
|
mcpTools: options.mcpManager ? extractMCPToolMetadata(options.mcpManager) : undefined,
|
|
pythonToolProxy: pythonProxyEnabled,
|
|
lspToolProxy: Boolean(lspTool),
|
|
},
|
|
};
|
|
|
|
interface WorkerMessageEvent<T> {
|
|
data: T;
|
|
}
|
|
interface WorkerErrorEvent {
|
|
message: string;
|
|
}
|
|
|
|
const done = await new Promise<Extract<SubagentWorkerResponse, { type: "done" }>>((resolve) => {
|
|
const cleanup = () => {
|
|
listenerController.abort();
|
|
};
|
|
finalize = (message) => {
|
|
if (resolved) return;
|
|
resolved = true;
|
|
cleanup();
|
|
resolve(message);
|
|
};
|
|
const postMessageSafe = (message: unknown) => {
|
|
if (resolved || terminated) return;
|
|
try {
|
|
worker.postMessage(message);
|
|
} catch {
|
|
// Worker already terminated
|
|
}
|
|
};
|
|
const handleMCPCall = async (request: MCPToolCallRequest) => {
|
|
const mcpManager = options.mcpManager;
|
|
if (!mcpManager) {
|
|
postMessageSafe({
|
|
type: "mcp_tool_result",
|
|
callId: request.callId,
|
|
error: "MCP not available",
|
|
});
|
|
return;
|
|
}
|
|
try {
|
|
const result = await withTimeout(
|
|
(async () => {
|
|
const connection = await mcpManager.waitForConnection(request.serverName);
|
|
return callTool(connection, request.mcpToolName, request.params);
|
|
})(),
|
|
request.timeoutMs,
|
|
);
|
|
postMessageSafe({
|
|
type: "mcp_tool_result",
|
|
callId: request.callId,
|
|
result: { content: result.content ?? [], isError: result.isError },
|
|
});
|
|
} catch (error) {
|
|
postMessageSafe({
|
|
type: "mcp_tool_result",
|
|
callId: request.callId,
|
|
error: error instanceof Error ? error.message : String(error),
|
|
});
|
|
}
|
|
};
|
|
|
|
const getPythonCallTimeoutMs = (params: { timeout?: number }): number | undefined => {
|
|
const timeout = params.timeout;
|
|
if (typeof timeout === "number" && Number.isFinite(timeout) && timeout > 0) {
|
|
return Math.max(1000, Math.round(timeout * 1000) + 1000);
|
|
}
|
|
return undefined;
|
|
};
|
|
|
|
const handlePythonCall = async (request: PythonToolCallRequest) => {
|
|
if (!pythonTool) {
|
|
postMessageSafe({
|
|
type: "python_tool_result",
|
|
callId: request.callId,
|
|
error: "Python proxy not available",
|
|
});
|
|
return;
|
|
}
|
|
const callController = new AbortController();
|
|
pythonCallControllers.set(request.callId, callController);
|
|
const timeoutMs = getPythonCallTimeoutMs(request.params as { timeout?: number });
|
|
const timeoutSignal = createTimeoutSignal(timeoutMs);
|
|
const combinedSignal = combineSignals([signal, callController.signal, timeoutSignal]);
|
|
try {
|
|
const result = await pythonTool.execute(request.callId, request.params as PythonToolParams, combinedSignal);
|
|
postMessageSafe({
|
|
type: "python_tool_result",
|
|
callId: request.callId,
|
|
result: { content: result.content ?? [], details: result.details },
|
|
});
|
|
} catch (error) {
|
|
const message =
|
|
timeoutSignal?.aborted && timeoutMs !== undefined
|
|
? `Python tool call timed out after ${timeoutMs}ms`
|
|
: error instanceof Error
|
|
? error.message
|
|
: String(error);
|
|
postMessageSafe({
|
|
type: "python_tool_result",
|
|
callId: request.callId,
|
|
error: message,
|
|
});
|
|
} finally {
|
|
pythonCallControllers.delete(request.callId);
|
|
}
|
|
};
|
|
|
|
const handlePythonCancel = (request: PythonToolCallCancel) => {
|
|
const controller = pythonCallControllers.get(request.callId);
|
|
if (controller) {
|
|
controller.abort();
|
|
}
|
|
};
|
|
|
|
const handleLspCall = async (request: LspToolCallRequest) => {
|
|
if (!lspTool) {
|
|
postMessageSafe({
|
|
type: "lsp_tool_result",
|
|
callId: request.callId,
|
|
error: "LSP proxy not available",
|
|
});
|
|
return;
|
|
}
|
|
try {
|
|
const result = await withTimeout(
|
|
lspTool.execute(request.callId, request.params as LspParams, signal),
|
|
request.timeoutMs,
|
|
);
|
|
postMessageSafe({
|
|
type: "lsp_tool_result",
|
|
callId: request.callId,
|
|
result: { content: result.content ?? [], details: result.details },
|
|
});
|
|
} catch (error) {
|
|
const message =
|
|
request.timeoutMs !== undefined && error instanceof Error && error.message.includes("timed out")
|
|
? `LSP tool call timed out after ${request.timeoutMs}ms`
|
|
: error instanceof Error
|
|
? error.message
|
|
: String(error);
|
|
postMessageSafe({
|
|
type: "lsp_tool_result",
|
|
callId: request.callId,
|
|
error: message,
|
|
});
|
|
}
|
|
};
|
|
|
|
const onMessage = (event: WorkerMessageEvent<SubagentWorkerResponse>) => {
|
|
const message = event.data;
|
|
if (!message || resolved) return;
|
|
if (message.type === "mcp_tool_call") {
|
|
handleMCPCall(message as MCPToolCallRequest);
|
|
return;
|
|
}
|
|
if (message.type === "python_tool_call") {
|
|
handlePythonCall(message as PythonToolCallRequest);
|
|
return;
|
|
}
|
|
if (message.type === "python_tool_cancel") {
|
|
handlePythonCancel(message as PythonToolCallCancel);
|
|
return;
|
|
}
|
|
if (message.type === "lsp_tool_call") {
|
|
handleLspCall(message as LspToolCallRequest);
|
|
return;
|
|
}
|
|
if (message.type === "event") {
|
|
try {
|
|
processEvent(message.event);
|
|
} catch (err) {
|
|
finalize?.({
|
|
type: "done",
|
|
exitCode: 1,
|
|
durationMs: Date.now() - startTime,
|
|
error: `Failed to process worker event: ${err instanceof Error ? err.message : String(err)}`,
|
|
});
|
|
}
|
|
return;
|
|
}
|
|
if (message.type === "done") {
|
|
// Worker is exiting - mark as terminated to prevent calling terminate() on dead worker
|
|
terminated = true;
|
|
finalize?.(message);
|
|
}
|
|
};
|
|
const onError = (event: WorkerErrorEvent) => {
|
|
// Worker error likely means it's dead or dying
|
|
terminated = true;
|
|
finalize?.({
|
|
type: "done",
|
|
exitCode: 1,
|
|
durationMs: Date.now() - startTime,
|
|
error: event.message,
|
|
});
|
|
};
|
|
const onMessageError = () => {
|
|
// Message error may indicate worker is in bad state
|
|
terminated = true;
|
|
finalize?.({
|
|
type: "done",
|
|
exitCode: 1,
|
|
durationMs: Date.now() - startTime,
|
|
error: "Worker message deserialization failed",
|
|
});
|
|
};
|
|
const onClose = () => {
|
|
// Worker terminated unexpectedly (crashed or was killed without sending done)
|
|
// Mark as terminated since the worker is already dead - calling terminate() again would crash
|
|
terminated = true;
|
|
const abortMessage =
|
|
abortSent && abortReason === "signal"
|
|
? "Worker terminated after abort"
|
|
: abortSent
|
|
? "Worker terminated after tool completion"
|
|
: "Worker terminated unexpectedly";
|
|
finalize?.({
|
|
type: "done",
|
|
exitCode: 1,
|
|
durationMs: Date.now() - startTime,
|
|
error: abortMessage,
|
|
aborted: abortReason === "signal",
|
|
});
|
|
};
|
|
worker.addEventListener("message", onMessage, { signal: listenerSignal });
|
|
worker.addEventListener("error", onError, { signal: listenerSignal });
|
|
worker.addEventListener("close", onClose, { signal: listenerSignal });
|
|
worker.addEventListener("messageerror", onMessageError, { signal: listenerSignal });
|
|
try {
|
|
worker.postMessage(startMessage);
|
|
} catch (err) {
|
|
finalize({
|
|
type: "done",
|
|
exitCode: 1,
|
|
durationMs: Date.now() - startTime,
|
|
error: `Failed to start worker: ${err instanceof Error ? err.message : String(err)}`,
|
|
});
|
|
}
|
|
});
|
|
|
|
// Cleanup - cancel any pending timeouts first
|
|
if (terminationTimeoutId) {
|
|
clearTimeout(terminationTimeoutId);
|
|
terminationTimeoutId = null;
|
|
}
|
|
cancelPendingTermination();
|
|
if (!terminated) {
|
|
terminated = true;
|
|
try {
|
|
worker.terminate();
|
|
} catch {
|
|
// Ignore termination errors
|
|
}
|
|
}
|
|
|
|
let exitCode = done.exitCode;
|
|
if (done.error) {
|
|
stderr = done.error;
|
|
}
|
|
|
|
// Use final output if available, otherwise accumulated output
|
|
let rawOutput = finalOutputChunks.length > 0 ? finalOutputChunks.join("") : outputChunks.join("");
|
|
let abortedViaComplete = false;
|
|
const completeItems = progress.extractedToolData?.complete as
|
|
| Array<{ data?: unknown; status?: "success" | "aborted"; error?: string }>
|
|
| undefined;
|
|
const hasComplete = Array.isArray(completeItems) && completeItems.length > 0;
|
|
if (hasComplete) {
|
|
const lastComplete = completeItems[completeItems.length - 1];
|
|
if (lastComplete?.status === "aborted") {
|
|
// Agent explicitly aborted via complete tool - clean exit with error info
|
|
abortedViaComplete = true;
|
|
exitCode = 0;
|
|
stderr = lastComplete.error || "Subagent aborted task";
|
|
try {
|
|
rawOutput = JSON.stringify({ aborted: true, error: lastComplete.error }, null, 2);
|
|
} catch {
|
|
rawOutput = `{"aborted":true,"error":"${lastComplete.error || "Unknown error"}"}`;
|
|
}
|
|
} else {
|
|
// Normal successful completion
|
|
let completeData = lastComplete?.data ?? null;
|
|
// Handle double-stringified JSON (subagent returned JSON string instead of object)
|
|
if (typeof completeData === "string" && (completeData.startsWith("{") || completeData.startsWith("["))) {
|
|
try {
|
|
completeData = JSON.parse(completeData);
|
|
} catch {
|
|
// Not valid JSON, keep as string
|
|
}
|
|
}
|
|
// Special case: merge report_finding data into review output for parent visibility
|
|
const reportFindings = progress.extractedToolData?.report_finding as ReviewFinding[] | undefined;
|
|
if (
|
|
Array.isArray(reportFindings) &&
|
|
reportFindings.length > 0 &&
|
|
completeData &&
|
|
typeof completeData === "object" &&
|
|
!Array.isArray(completeData)
|
|
) {
|
|
const record = completeData as Record<string, unknown>;
|
|
if (!("findings" in record)) {
|
|
completeData = { ...record, findings: reportFindings };
|
|
}
|
|
}
|
|
try {
|
|
rawOutput = JSON.stringify(completeData, null, 2) ?? "null";
|
|
} catch (err) {
|
|
const errorMessage = err instanceof Error ? err.message : String(err);
|
|
rawOutput = `{"error":"Failed to serialize complete data: ${errorMessage}"}`;
|
|
}
|
|
exitCode = 0;
|
|
stderr = "";
|
|
}
|
|
} else {
|
|
const warning = "SYSTEM WARNING: Subagent exited without calling complete tool after 3 reminders.";
|
|
rawOutput = rawOutput ? `${warning}\n\n${rawOutput}` : warning;
|
|
}
|
|
const { text: truncatedOutput, truncated } = truncateOutput(rawOutput);
|
|
|
|
// Write output artifact (input and jsonl already written in real-time)
|
|
// Compute output metadata for agent:// URL integration
|
|
let outputMeta: { lineCount: number; charCount: number } | undefined;
|
|
let outputPath: string | undefined;
|
|
if (options.artifactsDir) {
|
|
outputPath = path.join(options.artifactsDir, `${id}.md`);
|
|
try {
|
|
await Bun.write(outputPath, rawOutput);
|
|
outputMeta = {
|
|
lineCount: rawOutput.split("\n").length,
|
|
charCount: rawOutput.length,
|
|
};
|
|
} catch {
|
|
// Non-fatal
|
|
}
|
|
}
|
|
|
|
// Update final progress
|
|
const wasAborted = abortedViaComplete || (!hasComplete && (done.aborted || signal?.aborted || false));
|
|
progress.status = wasAborted ? "aborted" : exitCode === 0 ? "completed" : "failed";
|
|
emitProgress();
|
|
|
|
return {
|
|
index,
|
|
id,
|
|
agent: agent.name,
|
|
agentSource: agent.source,
|
|
task,
|
|
description: options.description,
|
|
exitCode,
|
|
output: truncatedOutput,
|
|
stderr,
|
|
truncated,
|
|
durationMs: Date.now() - startTime,
|
|
tokens: progress.tokens,
|
|
modelOverride,
|
|
error: exitCode !== 0 && stderr ? stderr : undefined,
|
|
aborted: wasAborted,
|
|
usage: hasUsage ? accumulatedUsage : undefined,
|
|
outputPath,
|
|
extractedToolData: progress.extractedToolData,
|
|
outputMeta,
|
|
};
|
|
}
|