Async MongoDB for Team

1docker run -d \
2  --name local-mongo \
3  -p 27017:27017 \
4  -e MONGO_INITDB_ROOT_USERNAME=mongoadmin \
5  -e MONGO_INITDB_ROOT_PASSWORD=secret \
6  mongo

1"""
2Run: `uv pip install openai pymongo motor` to install dependencies
3"""
4from typing import List
5
6from kern.agent import Agent
7from kern.db.mongo import AsyncMongoDb
8from kern.models.openai import OpenAIResponses
9from kern.team import Team
10from kern.tools.hackernews import HackerNewsTools
11from kern.tools.hackernews import HackerNewsTools
12from pydantic import BaseModel
13
14# MongoDB connection settings
15db_url = "mongodb://localhost:27017"
16db = AsyncMongoDb(db_url=db_url)
17
18class Article(BaseModel):
19    title: str
20    summary: str
21    reference_links: List[str]
22
23hn_researcher = Agent(
24    name="HackerNews Researcher",
25    model=OpenAIResponses(id="gpt-5.2"),
26    role="Gets top stories from hackernews.",
27    tools=[HackerNewsTools()],
28)
29
30web_searcher = Agent(
31    name="Web Searcher",
32    model=OpenAIResponses(id="gpt-5.2"),
33    role="Searches the web for information on a topic",
34    tools=[HackerNewsTools()],
35    add_datetime_to_context=True,
36)
37
38hn_team = Team(
39    name="HackerNews Team",
40    model=OpenAIResponses(id="gpt-5.2"),
41    members=[hn_researcher, web_searcher],
42    db=db,
43    instructions=[
44        "First, search hackernews for what the user is asking about.",
45        "Then, ask the web searcher to search for each story to get more information.",
46        "Finally, provide a thoughtful and engaging summary.",
47    ],
48    output_schema=Article,
49    markdown=True,
50    debug_mode=True,
51    show_members_responses=True,
52)
53
54hn_team.print_response("Write an article about the top 2 stories on hackernews")