import { perplexity } from "@agentium/core";

const model = perplexity("sonar-pro");

import { Agent, perplexity } from "@agentium/core";

const agent = new Agent({
  name: "researcher",
  model: perplexity("sonar-pro"),
  instructions: "You are a research assistant. Provide thorough, well-sourced answers.",
});

const result = await agent.run("What are the latest FDA-approved treatments for Alzheimer's disease?");
console.log(result.text);

import { perplexity } from "@agentium/core";

const model = perplexity("sonar-pro", {
  search: {
    searchMode: "academic",
    searchRecencyFilter: "month",
    searchDomainFilter: ["nature.com", "sciencedirect.com", "arxiv.org"],
    returnImages: false,
    returnRelatedQuestions: true,
    searchContextSize: "high",
  },
});

import { Agent, perplexity } from "@agentium/core";

const agent = new Agent({
  name: "cited-researcher",
  model: perplexity("sonar-pro", {
    search: { returnRelatedQuestions: true },
  }),
  instructions: "Provide well-sourced answers with citations.",
});

const result = await agent.run("What is the current population of Tokyo?");
console.log(result.text);

// Access citations from the raw response
const raw = result.raw as any;
if (raw?.citations) {
  console.log("Sources:", raw.citations);
  // ["https://worldpopulationreview.com/...", "https://en.wikipedia.org/..."]
}
if (raw?.search_results) {
  for (const sr of raw.search_results) {
    console.log(`- ${sr.title}: ${sr.url}`);
  }
}
if (raw?.related_questions) {
  console.log("Related:", raw.related_questions);
}

import { Agent, perplexity, defineTool } from "@agentium/core";
import { z } from "zod";

const agent = new Agent({
  name: "academic-researcher",
  model: perplexity("sonar-pro", {
    search: {
      searchMode: "academic",
      searchRecencyFilter: "year",
      searchContextSize: "high",
    },
  }),
  instructions: "You are an academic research assistant. Cite your sources.",
  tools: [
    defineTool({
      name: "saveNote",
      description: "Save a research note",
      parameters: z.object({ title: z.string(), content: z.string() }),
      execute: async ({ title, content }) => `Saved: "${title}" (${content.length} chars)`,
    }),
  ],
  maxToolRoundtrips: 3,
});

const result = await agent.run(
  "Find recent papers on CRISPR gene editing for sickle cell disease. Save key findings."
);
console.log(result.text);

import { Agent, perplexity } from "@agentium/core";

const agent = new Agent({
  name: "analyst",
  model: perplexity("sonar-reasoning-pro"),
  instructions: "Analyze questions thoroughly with reasoning and evidence.",
});

const result = await agent.run(
  "Compare the economic policies of the EU and US regarding AI regulation. Which approach is more likely to foster innovation?"
);
console.log(result.text);

import { Agent, perplexity, CostTracker } from "@agentium/core";

const costTracker = new CostTracker({
  pricing: {
    "sonar": { promptPer1k: 0.001, completionPer1k: 0.001 },
    "sonar-pro": { promptPer1k: 0.003, completionPer1k: 0.015 },
  },
});

const agent = new Agent({
  name: "fact-checker",
  model: perplexity("sonar-pro", {
    search: {
      searchDomainFilter: ["reuters.com", "apnews.com", "bbc.com"],
      searchRecencyFilter: "month",
    },
  }),
  instructions: "Fact-check claims by searching the web. Provide sources for your findings.",
  costTracker,
});

const result = await agent.run(
  "Fact-check: 'The Great Wall of China is visible from space with the naked eye.'"
);
console.log(result.text);
console.log(`Cost: $${costTracker.getSummary().totalCost.toFixed(4)}`);