Building Research Agents

from praisonaiagents import Agent

# Research agent with web search
researcher = Agent(
    name="Researcher",
    instructions="Research topics and provide clear summaries",
    web=True  # Enable web search
)

researcher.start("What are the latest trends in AI?")

from praisonaiagents import Agent

# Create a research agent
researcher = Agent(
    name="ResearchAgent",
    instructions="""You are a research specialist.

When researching:
- Search for accurate, current information
- Organize findings clearly
- Identify key facts and insights
- Present in a structured format""",
    web=True
)

# Research a topic
researcher.start("Research the impact of renewable energy on carbon emissions")

from praisonaiagents import Agent

researcher = Agent(
    name="StructuredResearcher",
    instructions="""You research topics and provide structured reports.

Format your response as:
## Summary
Brief overview

## Key Facts
- Fact 1
- Fact 2
- Fact 3

## Analysis
Deeper insights

## Sources
List of sources""",
    web=True
)

researcher.start("Research quantum computing advancements")

comparison_agent = Agent(
    name="ComparisonAgent",
    instructions="""Compare options and present findings.
    
- Identify key criteria
- Research each option
- Create side-by-side comparison
- Highlight pros and cons""",
    web=True
)

comparison_agent.start("Compare solar vs wind energy for homes")

from praisonaiagents import Agent, AgentTeam

# Researcher finds information
researcher = Agent(
    name="Researcher",
    instructions="Find comprehensive information on topics",
    web=True
)

# Analyst interprets findings
analyst = Agent(
    name="Analyst",
    instructions="Analyze research and identify key insights"
)

# Writer creates the report
writer = Agent(
    name="Writer",
    instructions="Write clear, structured research reports"
)

# Create research team
team = AgentTeam(
    agents=[researcher, analyst, writer],
    process="sequential"
)

team.start("Research the future of electric vehicles")