ANTHROPIC_API_KEY=your_anthropic_api_key_here
FIRECRAWL_API_KEY=your_firecrawl_api_key_here

import {
  ZypherAgent,
  AnthropicModelProvider
} from '@corespeed/zypher';
import { eachValueFrom } from 'rxjs-for-await';

// Load environment variables
const getRequiredEnv = (key: string): string => {
  const value = Deno.env.get(key);
  if (!value) {
    throw new Error(`Missing required environment variable: ${key}`);
  }
  return value;
};

// Create the agent
const agent = new ZypherAgent(
  new AnthropicModelProvider({
    apiKey: getRequiredEnv("ANTHROPIC_API_KEY"),
  })
);

// Set up MCP server for web crawling
await agent.mcpServerManager.registerServer({
  id: "firecrawl",
  type: "command",
  command: {
    command: "npx",
    args: ["-y", "firecrawl-mcp"],
    env: {
      FIRECRAWL_API_KEY: getRequiredEnv("FIRECRAWL_API_KEY"),
    },
  },
});

// Initialize the agent
await agent.init();

// Run a research task
const event$ = agent.runTask(
  `Research the latest developments in AI coding assistants and summarize the top 3 trends with examples`,
  "claude-sonnet-4-20250514",
);

// Process the results with detailed logging
console.log("🚀 Starting research task...\n");

for await (const event of eachValueFrom(event$)) {
  switch (event.type) {
    case 'text':
      console.log('💬 Agent response:');
      console.log(event.content.text);
      console.log('');
      break;
      
    case 'tool_use':
      console.log(`🔧 Using tool: ${event.content.name}`);
      if (event.content.input) {
        console.log('   Input:', JSON.stringify(event.content.input, null, 2));
      }
      break;
      
    case 'tool_result':
      console.log('📊 Tool result received');
      break;
      
    default:
      console.log(`📦 Event: ${event.type}`);
  }
}

console.log("✅ Research completed!");

deno run -A research-agent.ts

🚀 Starting research task...

💬 Agent response:
I'll help you research the latest developments in AI coding assistants. Let me search for current information.

🔧 Using tool: firecrawl_crawl
   Input: {
     "url": "https://github.blog/tag/ai/",
     "options": {
       "crawlOptions": {
         "limit": 5
       }
     }
   }

📊 Tool result received

🔧 Using tool: firecrawl_crawl
   Input: {
     "url": "https://openai.com/blog/tag/coding/",
     "options": {
       "crawlOptions": {
         "limit": 3
       }
     }
   }

📊 Tool result received

💬 Agent response:
Based on my research, here are the top 3 trends in AI coding assistants:

1. **Enhanced Code Completion with Context**
   GitHub Copilot has evolved beyond simple autocomplete to understand entire codebases...

2. **Conversational Code Review**
   Tools like Claude Code now offer interactive code review capabilities...

3. **Multi-Modal Code Understanding**
   New assistants can process screenshots, diagrams, and documentation...

✅ Research completed!

// Technology trends
agent.runTask("Research the latest trends in TypeScript and summarize key features")

// Business analysis  
agent.runTask("Find recent startup funding news in AI and list the top 3 deals")

// Educational content
agent.runTask("Research best practices for API design and create a beginner's guide")

// Add GitHub integration
agent.mcpServerManager.registerServer({
  id: "github",
  type: "command",
  command: {
    command: "npx",
    args: ["-y", "github-mcp"],
    env: {
      GITHUB_TOKEN: getRequiredEnv("GITHUB_TOKEN"),
    },
  },
});

// Add database access
agent.mcpServerManager.registerServer({
  id: "postgres",
  type: "command",
  command: {
    command: "deno",
    args: ["run", "-A", "./mcp-postgres-server.ts"],
    env: {
      DATABASE_URL: getRequiredEnv("DATABASE_URL"),
    },
  },
});