chore: import upstream snapshot with attribution

examples/financial_research_agent/agents/search_agent.py

@@ -0,0 +1,27 @@
+from pydantic import BaseModel
+
+from agents import Agent, ModelSettings, WebSearchTool
+
+# Given a search term, use web search to pull back a brief summary.
+# Summaries should be concise but capture the main financial points.
+INSTRUCTIONS = (
+    "You are a research assistant specializing in financial topics. "
+    "Given a search term, use web search to retrieve up‑to‑date context and "
+    "produce a short summary of at most 300 words. Focus on key numbers, events, "
+    "or quotes that will be useful to a financial analyst."
+)
+
+
+class FinancialSearchSummary(BaseModel):
+    summary: str
+    """A concise summary of the search findings."""
+
+
+search_agent = Agent(
+    name="FinancialSearchAgent",
+    model="gpt-5.6-sol",
+    instructions=INSTRUCTIONS,
+    tools=[WebSearchTool()],
+    model_settings=ModelSettings(response_include=["web_search_call.action.sources"]),
+    output_type=FinancialSearchSummary,
+)