Deep_Research_Assistant / planner_agent.py
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from pydantic import BaseModel
from agents import Agent
HOW_MANY_SEARCHES = 3
INSTRUCTIONS = f"You are a helpful research assistant. Given a query, come up with a set of web searches \
to perform to best answer the query. Output {HOW_MANY_SEARCHES} terms to query for."
class WebSearchItem(BaseModel):
reason: str
"Your reasoning for why this search is important to the query."
query: str
"The search term to use for the web search."
class WebSearchPlan(BaseModel):
searches: list[WebSearchItem]
"""A list of web searches to perform to best answer the query."""
def create_planner_agent(model: str = "gpt-4o-mini"):
"""Create a planner agent with configurable model"""
return Agent(
name="PlannerAgent",
instructions=INSTRUCTIONS,
model=model,
output_type=WebSearchPlan,
)
# Default planner agent for backward compatibility
planner_agent = create_planner_agent()