Deep Research with File Search (Interactions)

1import tempfile
2import time
3from pathlib import Path
4
5from kern.agent import Agent
6from kern.models.google import GeminiInteractions
7from google import genai
8
9client = genai.Client()
10
11store = client.file_search_stores.create(
12    config={"display_name": "kern-deep-research-demo"}
13)
14print(f"Created store: {store.name}")
15
16sample = Path(tempfile.gettempdir()) / "agno_fy2025_summary.txt"
17sample.write_text(
18    "Kern FY2025 internal summary.\n"
19    "Revenue grew 240% year over year, driven by AgentOS adoption.\n"
20    "Headcount doubled. The flagship launch was the Antigravity integration.\n"
21)
22
23operation = client.file_search_stores.upload_to_file_search_store(
24    file_search_store_name=store.name,
25    file=str(sample),
26    config={"display_name": "fy2025-summary"},
27)
28print("Uploading + indexing document...")
29while not operation.done:
30    time.sleep(3)
31    operation = client.operations.get(operation)
32print("Document indexed.")
33
34agent = Agent(
35    model=GeminiInteractions(
36        agent="deep-research-preview-04-2026",
37        thinking_summaries="auto",
38        file_search_store_names=[store.name],
39    ),
40    markdown=True,
41)
42
43if __name__ == "__main__":
44    agent.print_response(
45        "Using our internal FY2025 summary, compare our reported growth drivers "
46        "against current public news about the AI agent framework market."
47    )