Autonomous Research Agents

# Research agent orchestrates multiple tools
class ResearchAgent:
    def __init__(self):
        self.search = SearchAPI(apis=['pubmed', 'arxiv', 'scholar'])
        self.extractor = PDFExtractor()
        self.analyzer = CodeExecutor()
        self.brain = SynthesisModel(model='gpt-4')
        
    async def research(self, topic: str) -> Report:
        # 1. Discovery: Find relevant papers
        papers = await self.search.find_papers(topic, limit=100)
        
        # 2. Processing: Extract content from papers
        contents = await asyncio.gather(*[
            self.extractor.extract(paper.url) 
            for paper in papers[:20]  # Process top 20
        ])
        
        # 3. Analysis: Validate key claims
        validated = []
        for content in contents:
            claims = self.brain.extract_claims(content)
            for claim in claims:
                if claim.requires_validation:
                    result = await self.analyzer.validate(claim)
                    validated.append((claim, result))
        
        # 4. Intelligence: Synthesize findings
        report = self.brain.synthesize(
            contents=contents,
            validated=validated,
            format='comprehensive'
        )
        
        return report