AI Agent Geliştirme: AutoGPT ve CrewAI

AI Agent'ler, otonom olarak görevleri planlayan, araçları kullanan ve hedeflere ulaşan AI sistemleridir. AutoGPT, CrewAI ve LangGraph gibi framework'lerle multi-agent sistemler oluşturun.

AI Agent Nedir?

• Otonom karar verme
• Tool kullanımı (web search, code execution)
• Memory (kısa/uzun vadeli)
• Goal-oriented davranış
• Reflection ve self-correction

Agent Mimarisi

[User Goal] → [Planner] → [Executor] → [Tools]
                ↓              ↑
           [Memory]      [Observation]
                ↓              ↑
           [Reflection] ← [Result]

CrewAI Örneği

from crewai import Agent, Task, Crew

# Agent tanımlama
researcher = Agent(
    role="Research Analyst",
    goal="Pazar araştırması yap",
    backstory="Sen deneyimli bir analistsin",
    tools=[search_tool, scrape_tool],
    llm=ChatOpenAI(model="gpt-4")
)

writer = Agent(
    role="Content Writer",
    goal="Araştırmayı rapora dönüştür",
    backstory="Sen profesyonel bir yazarsın",
    llm=ChatOpenAI(model="gpt-4")
)

# Task tanımlama
research_task = Task(
    description="AI pazarını araştır",
    agent=researcher,
    expected_output="Detaylı pazar raporu"
)

write_task = Task(
    description="Rapor yaz",
    agent=writer,
    expected_output="Executive summary"
)

# Crew oluştur
crew = Crew(
    agents=[researcher, writer],
    tasks=[research_task, write_task],
    verbose=True
)

result = crew.kickoff()

LangGraph Agent

from langgraph.graph import StateGraph
from langgraph.prebuilt import ToolNode

# Graph-based agent
workflow = StateGraph(AgentState)
workflow.add_node("agent", call_agent)
workflow.add_node("tools", ToolNode(tools))
workflow.add_edge("agent", "tools")
workflow.add_conditional_edges("tools", should_continue)
app = workflow.compile()

Agent Framework'leri

• AutoGPT: İlk otonom agent
• CrewAI: Multi-agent orchestration
• LangGraph: Graph-based workflows
• AutoGen: Microsoft, multi-agent chat
• OpenAI Assistants: Built-in tools

Tool Örnekleri

• Web search (Tavily, SerpAPI)
• Code interpreter
• File operations
• Database queries
• API calls
• Browser automation

Kullanım Alanları

• Research automation
• Data analysis pipelines
• Customer service
• Code generation
• Content creation

Zorluklar

• Hallucination ve reliability
• Cost management
• Infinite loops
• Security (tool access)

AI Agent'ler, yapay zekanın bir sonraki evrimsel adımıdır. Karmaşık görevleri otomatikleştirin.