Agent configuration

from agno.agent import Agent
from agno.models.anthropic import Claude

agent = Agent(
    name="My Agent",
    model=Claude(id="claude-sonnet-4-6"),
    instructions="You are a helpful assistant."
)

from agno.models.openai import OpenAIResponses

agent = Agent(
    model=OpenAIResponses(
        id="gpt-4.5",
        temperature=0.7,
        max_tokens=1000
    )
)

from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.yfinance import YFinanceTools

agent = Agent(
    tools=[
        DuckDuckGoTools(),
        YFinanceTools(all=True)
    ],
    tool_choice="auto",  # "auto", "none", or specific tool
    tool_call_limit=10
)

from agno.memory import MemoryManager
from agno.db.postgres import PostgresDb

agent = Agent(
    memory_manager=MemoryManager(db=PostgresDb()),
    update_memory_on_run=True,
    add_memories_to_context=True
)

agent = Agent(
    add_history_to_context=True,
    num_history_runs=10,
    num_history_messages=50
)

from agno.knowledge.pdf import PDFKnowledge
from agno.vectordb.pgvector import PgVector

agent = Agent(
    knowledge=PDFKnowledge(
        path="docs",
        vector_db=PgVector()
    ),
    add_knowledge_to_context=True,
    search_knowledge=True
)

agent = Agent(
    session_id="user-123-session-1",
    session_state={"preferences": {}},
    add_session_state_to_context=True
)

from agno.db.sqlite import SqliteDb

agent = Agent(
    db=SqliteDb(db_file="agents.db")
)