import { Agent, OpenAIProvider } from "@rabbit-agent-sdk/rabbit-agent-sdk";
 
const agent = new Agent({
  provider: new OpenAIProvider({ apiKey: process.env.OPENAI_API_KEY }),
  systemPrompt: "You are a helpful and concise assistant.",
});
 
const response = await agent.run("Hello, who are you?");
console.log(response);
// → "I'm a helpful and concise assistant. How can I help you today?"

import {
  Agent,
  OpenAIProvider,
  GroqProvider,
  BufferMemory,
  ProfanityGuardrail,
  PIIGuardrail,
  MaxLengthGuardrail,
  FetchTool,
  WebSearchTool,
} from "@rabbit-agent-sdk/rabbit-agent-sdk";
 
const agent = new Agent({
  // Required — the primary LLM provider
  provider: new OpenAIProvider({ apiKey: process.env.OPENAI_API_KEY }),
 
  // Optional — backup providers tried in order if primary fails
  fallbackProviders: [
    new GroqProvider({ apiKey: process.env.GROQ_API_KEY }),
  ],
 
  // Optional — system prompt injected at the start of every conversation
  systemPrompt: "You are a senior financial analyst. Be precise and cite sources.",
 
  // Optional — tools the agent can call
  tools: [new FetchTool(), new WebSearchTool(process.env.TAVILY_API_KEY)],
 
  // Optional — input/output validation guardrails
  guardrails: [
    new ProfanityGuardrail(),          // Block profanity in user input
    new PIIGuardrail(),                // Block PII in user input
    new MaxLengthGuardrail(4000, "output"),  // Cap output length
  ],
 
  // Optional — custom memory implementation (defaults to BufferMemory)
  memory: new BufferMemory(),
 
  // Optional — enable response streaming (default: false)
  stream: false,
 
  // Optional — max agentic loop iterations (default: 5)
  maxSteps: 10,
});