tinyagent-ts
Version:
Modern TypeScript framework for building AI agents with pluggable tools and ReAct reasoning
78 lines ⢠2.88 kB
JavaScript
;
var __decorate = (this && this.__decorate) || function (decorators, target, key, desc) {
var c = arguments.length, r = c < 3 ? target : desc === null ? desc = Object.getOwnPropertyDescriptor(target, key) : desc, d;
if (typeof Reflect === "object" && typeof Reflect.decorate === "function") r = Reflect.decorate(decorators, target, key, desc);
else for (var i = decorators.length - 1; i >= 0; i--) if (d = decorators[i]) r = (c < 3 ? d(r) : c > 3 ? d(target, key, r) : d(target, key)) || r;
return c > 3 && r && Object.defineProperty(target, key, r), r;
};
var __metadata = (this && this.__metadata) || function (k, v) {
if (typeof Reflect === "object" && typeof Reflect.metadata === "function") return Reflect.metadata(k, v);
};
Object.defineProperty(exports, "__esModule", { value: true });
require("dotenv/config");
const index_1 = require("./index");
const readline_1 = require("readline");
/**
* Basic chat agent that just forwards messages to the LLM
*/
let ChatAgent = class ChatAgent extends index_1.Agent {
constructor() {
super();
this.promptEngine.overwrite("agent", () => `You are a helpful AI assistant. You aim to be:
- Helpful and friendly
- Concise but informative
- Direct in your responses
You should avoid:
- Making things up
- Being overly verbose
- Using unnecessary pleasantries`);
}
};
ChatAgent = __decorate([
(0, index_1.model)("anthropic/claude-3-sonnet"),
__metadata("design:paramtypes", [])
], ChatAgent);
async function startChat() {
console.log(`
š¤ TinyAgent Chat
Type your messages and press Enter. Type 'exit' or press Ctrl+C to quit.
---------------------------------------------------------`);
const agent = new ChatAgent();
const rl = (0, readline_1.createInterface)({
input: process.stdin,
output: process.stdout,
});
const prompt = (query) => new Promise((resolve) => rl.question(query, resolve));
try {
while (true) {
const input = await prompt("\nYou: ");
if (input.toLowerCase() === "exit") {
break;
}
try {
const response = await agent.run(input);
console.log("\nš¤:", response.answer);
}
catch (error) {
console.error("\nā Error:", error instanceof Error ? error.message : error);
}
}
}
finally {
rl.close();
console.log("\nGoodbye! š");
}
}
// Start chat if run directly
if (require.main === module) {
if (!process.env.OPENROUTER_API_KEY) {
console.error("ā Error: OPENROUTER_API_KEY environment variable is not set");
process.exit(1);
}
startChat().catch(error => {
console.error("Fatal error:", error);
process.exit(1);
});
}
//# sourceMappingURL=cli.js.map