a74c5da112
- Set up npm workspaces for three packages: pi-tui, pi-agent, and pi (pods) - Implemented dual TypeScript configuration: - Root tsconfig.json with path mappings for development and type checking - Package-specific tsconfig.build.json for clean production builds - Configured lockstep versioning with sync script for inter-package dependencies - Added comprehensive documentation for development and publishing workflows - All packages at version 0.5.0 ready for npm publishing
86 lines
3.2 KiB
TypeScript
86 lines
3.2 KiB
TypeScript
import { main as agentMain } from "@mariozechner/pi-agent";
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import chalk from "chalk";
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import { getActivePod, loadConfig } from "../config.js";
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// ────────────────────────────────────────────────────────────────────────────────
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// Types
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// ────────────────────────────────────────────────────────────────────────────────
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interface PromptOptions {
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pod?: string;
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apiKey?: string;
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}
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// ────────────────────────────────────────────────────────────────────────────────
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// Main prompt function
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// ────────────────────────────────────────────────────────────────────────────────
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export async function promptModel(modelName: string, userArgs: string[], opts: PromptOptions = {}) {
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// Get pod and model configuration
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const activePod = opts.pod ? { name: opts.pod, pod: loadConfig().pods[opts.pod] } : getActivePod();
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if (!activePod) {
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console.error(chalk.red("No active pod. Use 'pi pods active <name>' to set one."));
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process.exit(1);
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}
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const { name: podName, pod } = activePod;
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const modelConfig = pod.models[modelName];
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if (!modelConfig) {
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console.error(chalk.red(`Model '${modelName}' not found on pod '${podName}'`));
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process.exit(1);
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}
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// Extract host from SSH string
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const host =
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pod.ssh
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.split(" ")
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.find((p) => p.includes("@"))
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?.split("@")[1] ?? "localhost";
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// Build the system prompt for code navigation
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const systemPrompt = `You help the user understand and navigate the codebase in the current working directory.
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You can read files, list directories, and execute shell commands via the respective tools.
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Do not output file contents you read via the read_file tool directly, unless asked to.
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Do not output markdown tables as part of your responses.
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Keep your responses concise and relevant to the user's request.
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File paths you output must include line numbers where possible, e.g. "src/index.ts:10-20" for lines 10 to 20 in src/index.ts.
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Current working directory: ${process.cwd()}`;
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// Build arguments for agent main function
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const args: string[] = [];
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// Add base configuration that we control
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args.push(
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"--base-url",
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`http://${host}:${modelConfig.port}/v1`,
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"--model",
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modelConfig.model,
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"--api-key",
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opts.apiKey || process.env.PI_API_KEY || "dummy",
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"--api",
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modelConfig.model.toLowerCase().includes("gpt-oss") ? "responses" : "completions",
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"--system-prompt",
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systemPrompt,
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);
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// Pass through all user-provided arguments
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// This includes messages, --continue, --json, etc.
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args.push(...userArgs);
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// Call agent main function directly
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try {
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await agentMain(args);
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} catch (err: any) {
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console.error(chalk.red(`Agent error: ${err.message}`));
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process.exit(1);
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}
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}
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