Implement DataSynthesizer Agent with Claude 4 Opus and Gemini 3 Flash

Implement the 'DataSynthesizer' agent using Mastra AI. This agent should be responsible for consuming raw market data and using Gemini 3 Flash for initial summarization and Claude 4 Opus for deeper trend analysis. Provide Mastra AI agent definition code and demonstrate how to call these models via its framework. ```typescript
import { Agent, Task, Tool } from '@mastra-ai/core';
import { LLM } from '@mastra-ai/llm'; const claude4Opus = new LLM('anthropic', { model: 'claude-4-opus' });
const gemini3Flash = new LLM('google', { model: 'gemini-3-flash' }); const dataSynthesizerAgent = new Agent({ name: 'DataSynthesizer', description: 'Synthesizes raw market data into coherent insights.', tools: [ new Tool('summarizeWithGemini', async (data: string) => { const response = await gemini3Flash.run(data, { prompt: 'Summarize the following data:' }); return response.output; }), new Tool('analyzeTrendsWithClaude', async (summary: string) => { const response = await claude4Opus.run(summary, { prompt: 'Analyze key trends and implications:' }); return response.output; }), ], // Further implementation for tasks and reactions...
});
```