openai--openai-agents-python
wehub-resource-sync
36 行
1.0 KiB
Python
36 行
1.0 KiB
Python
from pydantic import BaseModel
|
||
|
||
from agents import Agent
|
||
|
||
# Generate a plan of searches to ground the financial analysis.
|
||
# For a given financial question or company, we want to search for
|
||
# recent news, official filings, analyst commentary, and other
|
||
# relevant background.
|
||
PROMPT = (
|
||
"You are a financial research planner. Given a request for financial analysis, "
|
||
"produce a set of web searches to gather the context needed. Aim for recent "
|
||
"headlines, earnings calls or 10‑K snippets, analyst commentary, and industry background. "
|
||
"Output between 5 and 15 search terms to query for."
|
||
)
|
||
|
||
|
||
class FinancialSearchItem(BaseModel):
|
||
reason: str
|
||
"""Your reasoning for why this search is relevant."""
|
||
|
||
query: str
|
||
"""The search term to feed into a web (or file) search."""
|
||
|
||
|
||
class FinancialSearchPlan(BaseModel):
|
||
searches: list[FinancialSearchItem]
|
||
"""A list of searches to perform."""
|
||
|
||
|
||
planner_agent = Agent(
|
||
name="FinancialPlannerAgent",
|
||
instructions=PROMPT,
|
||
model="o3-mini",
|
||
output_type=FinancialSearchPlan,
|
||
)
|