mirror of
https://github.com/getcompanion-ai/co-mono.git
synced 2026-04-15 18:01:22 +00:00
- Context files now appended to system prompt - Added current date/time to system prompt - Added current working directory to system prompt - Date/time and cwd placed at end of system prompt - Updated README to reflect system prompt integration
547 lines
16 KiB
TypeScript
547 lines
16 KiB
TypeScript
import { Agent, ProviderTransport, type ThinkingLevel } from "@mariozechner/pi-agent";
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import { getModel, type KnownProvider } from "@mariozechner/pi-ai";
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import { ProcessTerminal, TUI } from "@mariozechner/pi-tui";
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import chalk from "chalk";
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import { existsSync, readFileSync } from "fs";
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import { homedir } from "os";
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import { dirname, join, resolve } from "path";
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import { fileURLToPath } from "url";
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import { SessionManager } from "./session-manager.js";
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import { codingTools } from "./tools/index.js";
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import { SessionSelectorComponent } from "./tui/session-selector.js";
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import { TuiRenderer } from "./tui/tui-renderer.js";
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// Get version from package.json
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const __filename = fileURLToPath(import.meta.url);
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const __dirname = dirname(__filename);
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const packageJson = JSON.parse(readFileSync(join(__dirname, "../package.json"), "utf-8"));
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const VERSION = packageJson.version;
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const envApiKeyMap: Record<KnownProvider, string[]> = {
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google: ["GEMINI_API_KEY"],
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openai: ["OPENAI_API_KEY"],
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anthropic: ["ANTHROPIC_OAUTH_TOKEN", "ANTHROPIC_API_KEY"],
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xai: ["XAI_API_KEY"],
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groq: ["GROQ_API_KEY"],
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cerebras: ["CEREBRAS_API_KEY"],
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openrouter: ["OPENROUTER_API_KEY"],
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zai: ["ZAI_API_KEY"],
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};
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type Mode = "text" | "json" | "rpc";
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interface Args {
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provider?: string;
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model?: string;
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apiKey?: string;
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systemPrompt?: string;
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continue?: boolean;
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resume?: boolean;
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help?: boolean;
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mode?: Mode;
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noSession?: boolean;
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session?: string;
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messages: string[];
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}
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function parseArgs(args: string[]): Args {
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const result: Args = {
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messages: [],
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};
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for (let i = 0; i < args.length; i++) {
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const arg = args[i];
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if (arg === "--help" || arg === "-h") {
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result.help = true;
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} else if (arg === "--mode" && i + 1 < args.length) {
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const mode = args[++i];
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if (mode === "text" || mode === "json" || mode === "rpc") {
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result.mode = mode;
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}
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} else if (arg === "--continue" || arg === "-c") {
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result.continue = true;
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} else if (arg === "--resume" || arg === "-r") {
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result.resume = true;
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} else if (arg === "--provider" && i + 1 < args.length) {
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result.provider = args[++i];
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} else if (arg === "--model" && i + 1 < args.length) {
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result.model = args[++i];
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} else if (arg === "--api-key" && i + 1 < args.length) {
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result.apiKey = args[++i];
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} else if (arg === "--system-prompt" && i + 1 < args.length) {
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result.systemPrompt = args[++i];
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} else if (arg === "--no-session") {
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result.noSession = true;
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} else if (arg === "--session" && i + 1 < args.length) {
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result.session = args[++i];
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} else if (!arg.startsWith("-")) {
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result.messages.push(arg);
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}
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}
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return result;
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}
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function printHelp() {
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console.log(`${chalk.bold("coding-agent")} - AI coding assistant with read, bash, edit, write tools
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${chalk.bold("Usage:")}
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coding-agent [options] [messages...]
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${chalk.bold("Options:")}
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--provider <name> Provider name (default: google)
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--model <id> Model ID (default: gemini-2.5-flash)
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--api-key <key> API key (defaults to env vars)
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--system-prompt <text> System prompt (default: coding assistant prompt)
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--mode <mode> Output mode: text (default), json, or rpc
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--continue, -c Continue previous session
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--resume, -r Select a session to resume
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--session <path> Use specific session file
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--no-session Don't save session (ephemeral)
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--help, -h Show this help
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${chalk.bold("Examples:")}
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# Interactive mode (no messages = interactive TUI)
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coding-agent
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# Single message
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coding-agent "List all .ts files in src/"
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# Multiple messages
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coding-agent "Read package.json" "What dependencies do we have?"
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# Continue previous session
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coding-agent --continue "What did we discuss?"
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# Use different model
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coding-agent --provider openai --model gpt-4o-mini "Help me refactor this code"
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${chalk.bold("Environment Variables:")}
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GEMINI_API_KEY - Google Gemini API key
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OPENAI_API_KEY - OpenAI API key
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ANTHROPIC_API_KEY - Anthropic API key
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CODING_AGENT_DIR - Session storage directory (default: ~/.coding-agent)
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${chalk.bold("Available Tools:")}
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read - Read file contents
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bash - Execute bash commands
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edit - Edit files with find/replace
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write - Write files (creates/overwrites)
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`);
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}
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function buildSystemPrompt(customPrompt?: string): string {
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if (customPrompt) {
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return customPrompt;
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}
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const now = new Date();
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const dateTime = now.toLocaleString("en-US", {
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weekday: "long",
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year: "numeric",
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month: "long",
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day: "numeric",
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hour: "2-digit",
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minute: "2-digit",
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second: "2-digit",
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timeZoneName: "short",
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});
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let prompt = `You are an expert coding assistant. You help users with coding tasks by reading files, executing commands, editing code, and writing new files.
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Available tools:
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- read: Read file contents
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- bash: Execute bash commands (ls, grep, find, etc.)
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- edit: Make surgical edits to files (find exact text and replace)
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- write: Create or overwrite files
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Guidelines:
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- Always use bash tool for file operations like ls, grep, find
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- Use read to examine files before editing
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- Use edit for precise changes (old text must match exactly)
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- Use write only for new files or complete rewrites
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- Be concise in your responses
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- Show file paths clearly when working with files`;
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// Append project context files
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const contextFiles = loadProjectContextFiles();
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if (contextFiles.length > 0) {
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prompt += "\n\n# Project Context\n\n";
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prompt += "The following project context files have been loaded:\n\n";
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for (const { path: filePath, content } of contextFiles) {
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prompt += `## ${filePath}\n\n${content}\n\n`;
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}
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}
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// Add date/time and working directory last
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prompt += `\nCurrent date and time: ${dateTime}`;
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prompt += `\nCurrent working directory: ${process.cwd()}`;
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return prompt;
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}
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/**
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* Look for AGENT.md or CLAUDE.md in a directory (prefers AGENT.md)
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*/
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function loadContextFileFromDir(dir: string): { path: string; content: string } | null {
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const candidates = ["AGENT.md", "CLAUDE.md"];
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for (const filename of candidates) {
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const filePath = join(dir, filename);
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if (existsSync(filePath)) {
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try {
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return {
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path: filePath,
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content: readFileSync(filePath, "utf-8"),
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};
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} catch (error) {
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console.error(chalk.yellow(`Warning: Could not read ${filePath}: ${error}`));
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}
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}
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}
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return null;
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}
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/**
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* Load all project context files in order:
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* 1. Global: ~/.pi/agent/AGENT.md or CLAUDE.md
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* 2. Parent directories (top-most first) down to cwd
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* Each returns {path, content} for separate messages
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*/
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function loadProjectContextFiles(): Array<{ path: string; content: string }> {
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const contextFiles: Array<{ path: string; content: string }> = [];
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// 1. Load global context from ~/.pi/agent/
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const homeDir = homedir();
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const globalContextDir = resolve(process.env.CODING_AGENT_DIR || join(homeDir, ".pi/agent/"));
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const globalContext = loadContextFileFromDir(globalContextDir);
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if (globalContext) {
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contextFiles.push(globalContext);
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}
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// 2. Walk up from cwd to root, collecting all context files
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const cwd = process.cwd();
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const ancestorContextFiles: Array<{ path: string; content: string }> = [];
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let currentDir = cwd;
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const root = resolve("/");
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while (true) {
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const contextFile = loadContextFileFromDir(currentDir);
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if (contextFile) {
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// Add to beginning so we get top-most parent first
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ancestorContextFiles.unshift(contextFile);
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}
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// Stop if we've reached root
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if (currentDir === root) break;
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// Move up one directory
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const parentDir = resolve(currentDir, "..");
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if (parentDir === currentDir) break; // Safety check
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currentDir = parentDir;
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}
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// Add ancestor files in order (top-most → cwd)
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contextFiles.push(...ancestorContextFiles);
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return contextFiles;
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}
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async function selectSession(sessionManager: SessionManager): Promise<string | null> {
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return new Promise((resolve) => {
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const ui = new TUI(new ProcessTerminal());
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let resolved = false;
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const selector = new SessionSelectorComponent(
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sessionManager,
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(path: string) => {
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if (!resolved) {
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resolved = true;
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ui.stop();
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resolve(path);
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}
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},
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() => {
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if (!resolved) {
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resolved = true;
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ui.stop();
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resolve(null);
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}
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},
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);
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ui.addChild(selector);
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ui.setFocus(selector.getSessionList());
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ui.start();
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});
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}
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async function runInteractiveMode(agent: Agent, sessionManager: SessionManager, version: string): Promise<void> {
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const renderer = new TuiRenderer(agent, sessionManager, version);
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// Initialize TUI
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await renderer.init();
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// Set interrupt callback
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renderer.setInterruptCallback(() => {
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agent.abort();
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});
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// Render any existing messages (from --continue mode)
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renderer.renderInitialMessages(agent.state);
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// Subscribe to agent events
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agent.subscribe(async (event) => {
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// Pass all events to the renderer
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await renderer.handleEvent(event, agent.state);
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});
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// Interactive loop
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while (true) {
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const userInput = await renderer.getUserInput();
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// Process the message - agent.prompt will add user message and trigger state updates
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try {
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await agent.prompt(userInput);
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} catch (error: any) {
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// Display error in the TUI by adding an error message to the chat
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renderer.showError(error.message || "Unknown error occurred");
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}
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}
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}
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async function runSingleShotMode(
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agent: Agent,
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_sessionManager: SessionManager,
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messages: string[],
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mode: "text" | "json",
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): Promise<void> {
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if (mode === "json") {
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// Subscribe to all events and output as JSON
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agent.subscribe((event) => {
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// Output event as JSON (same format as session manager)
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console.log(JSON.stringify(event));
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});
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}
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for (const message of messages) {
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await agent.prompt(message);
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}
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// In text mode, only output the final assistant message
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if (mode === "text") {
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const lastMessage = agent.state.messages[agent.state.messages.length - 1];
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if (lastMessage.role === "assistant") {
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for (const content of lastMessage.content) {
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if (content.type === "text") {
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console.log(content.text);
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}
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}
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}
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}
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}
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async function runRpcMode(agent: Agent, _sessionManager: SessionManager): Promise<void> {
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// Subscribe to all events and output as JSON
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agent.subscribe((event) => {
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console.log(JSON.stringify(event));
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});
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// Listen for JSON input on stdin
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const readline = await import("readline");
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const rl = readline.createInterface({
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input: process.stdin,
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output: process.stdout,
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terminal: false,
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});
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rl.on("line", async (line: string) => {
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try {
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const input = JSON.parse(line);
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// Handle different RPC commands
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if (input.type === "prompt" && input.message) {
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await agent.prompt(input.message);
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} else if (input.type === "abort") {
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agent.abort();
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}
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} catch (error: any) {
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// Output error as JSON
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console.log(JSON.stringify({ type: "error", error: error.message }));
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}
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});
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// Keep process alive
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return new Promise(() => {});
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}
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export async function main(args: string[]) {
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const parsed = parseArgs(args);
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if (parsed.help) {
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printHelp();
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return;
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}
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// Setup session manager
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const sessionManager = new SessionManager(parsed.continue && !parsed.resume, parsed.session);
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// Disable session saving if --no-session flag is set
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if (parsed.noSession) {
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sessionManager.disable();
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}
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// Handle --resume flag: show session selector
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if (parsed.resume) {
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const selectedSession = await selectSession(sessionManager);
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if (!selectedSession) {
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console.log(chalk.dim("No session selected"));
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return;
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}
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// Set the selected session as the active session
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sessionManager.setSessionFile(selectedSession);
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}
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// Determine provider and model
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const provider = (parsed.provider || "anthropic") as any;
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const modelId = parsed.model || "claude-sonnet-4-5";
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// Helper function to get API key for a provider
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const getApiKeyForProvider = (providerName: string): string | undefined => {
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// Check if API key was provided via command line
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if (parsed.apiKey) {
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return parsed.apiKey;
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}
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const envVars = envApiKeyMap[providerName as KnownProvider];
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// Check each environment variable in priority order
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for (const envVar of envVars) {
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const key = process.env[envVar];
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if (key) {
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return key;
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}
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}
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return undefined;
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};
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// Get initial API key
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const initialApiKey = getApiKeyForProvider(provider);
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if (!initialApiKey) {
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const envVars = envApiKeyMap[provider as KnownProvider];
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const envVarList = envVars.join(" or ");
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console.error(chalk.red(`Error: No API key found for provider "${provider}"`));
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console.error(chalk.dim(`Set ${envVarList} environment variable or use --api-key flag`));
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process.exit(1);
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}
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// Create agent
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const model = getModel(provider, modelId);
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const systemPrompt = buildSystemPrompt(parsed.systemPrompt);
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const agent = new Agent({
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initialState: {
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systemPrompt,
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model,
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thinkingLevel: "off",
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tools: codingTools,
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},
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transport: new ProviderTransport({
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// Dynamic API key lookup based on current model's provider
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getApiKey: async () => {
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const currentProvider = agent.state.model.provider;
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const key = getApiKeyForProvider(currentProvider);
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if (!key) {
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throw new Error(
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`No API key found for provider "${currentProvider}". Please set the appropriate environment variable.`,
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);
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}
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return key;
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},
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}),
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});
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// Determine mode early to know if we should print messages
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const isInteractive = parsed.messages.length === 0;
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const mode = parsed.mode || "text";
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const shouldPrintMessages = isInteractive || mode === "text";
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// Load previous messages if continuing or resuming
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if (parsed.continue || parsed.resume) {
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const messages = sessionManager.loadMessages();
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if (messages.length > 0) {
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if (shouldPrintMessages) {
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console.log(chalk.dim(`Loaded ${messages.length} messages from previous session`));
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}
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agent.replaceMessages(messages);
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}
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// Load and restore model
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const savedModel = sessionManager.loadModel();
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if (savedModel) {
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// Parse provider/modelId from saved model string (format: "provider/modelId")
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const [savedProvider, savedModelId] = savedModel.split("/");
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if (savedProvider && savedModelId) {
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try {
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const restoredModel = getModel(savedProvider as any, savedModelId);
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agent.setModel(restoredModel);
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if (shouldPrintMessages) {
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console.log(chalk.dim(`Restored model: ${savedModel}`));
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}
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} catch (error: any) {
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if (shouldPrintMessages) {
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console.error(chalk.yellow(`Warning: Could not restore model ${savedModel}: ${error.message}`));
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}
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}
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}
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}
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// Load and restore thinking level
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const thinkingLevel = sessionManager.loadThinkingLevel() as ThinkingLevel;
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if (thinkingLevel) {
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agent.setThinkingLevel(thinkingLevel);
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if (shouldPrintMessages) {
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console.log(chalk.dim(`Restored thinking level: ${thinkingLevel}`));
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}
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}
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}
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// Note: Session will be started lazily after first user+assistant message exchange
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// (unless continuing/resuming, in which case it's already initialized)
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// Log loaded context files (they're already in the system prompt)
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if (shouldPrintMessages && !parsed.continue && !parsed.resume) {
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const contextFiles = loadProjectContextFiles();
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if (contextFiles.length > 0) {
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const fileList = contextFiles.map((f) => f.path).join(", ");
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console.log(chalk.dim(`Loaded project context from: ${fileList}`));
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}
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}
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// Subscribe to agent events to save messages
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agent.subscribe((event) => {
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// Save messages on completion
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if (event.type === "message_end") {
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sessionManager.saveMessage(event.message);
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// Check if we should initialize session now (after first user+assistant exchange)
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if (sessionManager.shouldInitializeSession(agent.state.messages)) {
|
|
sessionManager.startSession(agent.state);
|
|
}
|
|
}
|
|
});
|
|
|
|
// Route to appropriate mode
|
|
if (mode === "rpc") {
|
|
// RPC mode - headless operation
|
|
await runRpcMode(agent, sessionManager);
|
|
} else if (isInteractive) {
|
|
// No messages and not RPC - use TUI
|
|
await runInteractiveMode(agent, sessionManager, VERSION);
|
|
} else {
|
|
// CLI mode with messages
|
|
await runSingleShotMode(agent, sessionManager, parsed.messages, mode);
|
|
}
|
|
}
|