research_team.py
"""
Research Team - Coordinated, Parallel-Powered Agents
====================================================
One agent can research a topic. A team can divide and conquer: a web
researcher gathers live sources while a deep researcher runs cited Task-API
research, and the team lead synthesizes a single answer.
Each member is backed by a different slice of the Parallel API.
Prerequisites:
- pip install parallel-web
- export PARALLEL_API_KEY=<your-api-key>
"""
from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.team import Team
from agno.tools.parallel import ParallelTools
# ---------------------------------------------------------------------------
# Create Members
# ---------------------------------------------------------------------------
# Fast web researcher - Search and Extract for breadth and recency.
web_researcher = Agent(
name="Web Researcher",
role="Find recent, relevant sources on the web using Parallel Search.",
model=OpenAIResponses(id="gpt-5.4"),
tools=[ParallelTools(enable_search=True, enable_extract=True)],
)
# Deep researcher - Task API for cited, in-depth findings.
deep_researcher = Agent(
name="Deep Researcher",
role="Run deep research with citations using the Parallel Task API.",
model=OpenAIResponses(id="gpt-5.4"),
tools=[
ParallelTools(
enable_search=False,
enable_extract=False,
enable_task=True,
default_processor="base",
default_output_schema={"type": "text"},
)
],
)
# ---------------------------------------------------------------------------
# Create the Team
# ---------------------------------------------------------------------------
research_team = Team(
name="Research Team",
model=OpenAIResponses(id="gpt-5.4"),
members=[web_researcher, deep_researcher],
instructions=[
"Coordinate the two researchers to answer the question.",
"Use the web researcher for breadth and current sources, and the "
"deep researcher for cited, in-depth findings.",
"Synthesize one clear answer and include the sources.",
],
markdown=True,
show_members_responses=True,
)
# ---------------------------------------------------------------------------
# Run the Team
# ---------------------------------------------------------------------------
if __name__ == "__main__":
research_team.print_response(
"Give me a briefing on the AI web-research API landscape: who the "
"main players are and what makes each different. Include sources.",
stream=True,
)
Run the Example
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Install dependencies
uv pip install -U agno openai parallel-web
3
Export your API keys
export OPENAI_API_KEY="your_openai_api_key_here"
export PARALLEL_API_KEY="your_parallel_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
$Env:PARALLEL_API_KEY="your_parallel_api_key_here"
4
Run the example
Save the code above as
research_team.py, then run:python research_team.py