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Download planner_agent.py from haroon-jay/Deep_research: direct link, hf CLI and curl.
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https://huggingface.co/spaces/haroon-jay/Deep_research/resolve/main/planner_agent.py
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hf download hf://spaces/haroon-jay/Deep_research/planner_agent.py
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curl -L -o planner_agent.py https://huggingface.co/spaces/haroon-jay/Deep_research/resolve/main/planner_agent.py
787 Bytes
| from pydantic import BaseModel, Field | |
| from agents import Agent | |
| HOW_MANY_SEARCHES = 5 | |
| 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 = Field(description="Your reasoning for why this search is important to the query.") | |
| query: str = Field(description="The search term to use for the web search.") | |
| class WebSearchPlan(BaseModel): | |
| searches: list[WebSearchItem] = Field(description="A list of web searches to perform to best answer the query.") | |
| planner_agent = Agent( | |
| name="PlannerAgent", | |
| instructions=INSTRUCTIONS, | |
| model="gpt-4o-mini", | |
| output_type=WebSearchPlan, | |
| ) |