This is a team reasoning example with knowledge tools.Documentation Index
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Enabling the reasoning option on the team leader helps optimize delegation and enhances multi-agent collaboration by selectively invoking deeper reasoning when required.
Code
cookbook/reasoning/teams/knowledge_tool_team.py
from textwrap import dedent
from agno.agent import Agent
from agno.knowledge.url import UrlKnowledge
from agno.models.openai import OpenAIChat
from agno.team.team import Team
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.knowledge import KnowledgeTools
from agno.vectordb.lancedb import LanceDb, SearchType
agno_docs = UrlKnowledge(
urls=["https://www.paulgraham.com/read.html"],
# Use LanceDB as the vector database and store embeddings in the `agno_docs` table
vector_db=LanceDb(
uri="tmp/lancedb",
table_name="agno_docs",
search_type=SearchType.hybrid,
),
)
knowledge_tools = KnowledgeTools(
knowledge=agno_docs,
think=True,
search=True,
analyze=True,
add_few_shot=True,
)
web_agent = Agent(
name="Web Search Agent",
role="Handle web search requests",
model=OpenAIChat(id="gpt-4o-mini"),
tools=[DuckDuckGoTools()],
instructions="Always include sources",
add_datetime_to_instructions=True,
)
research_agent = Agent(
name="Research Agent",
role="Handle research and news requests",
model=OpenAIChat(id="gpt-4o-mini"),
tools=[
DuckDuckGoTools(search=True, news=True)
],
add_datetime_to_instructions=True,
)
team_leader = Team(
name="Reasoning Research Team",
mode="coordinate",
model=OpenAIChat(id="gpt-4o"),
members=[
web_agent,
research_agent,
],
tools=[knowledge_tools],
instructions=[
"Only output the final answer, no other text.",
"Use tables to display data",
],
markdown=True,
show_members_responses=True,
enable_agentic_context=True,
add_datetime_to_instructions=True,
success_criteria="The team has successfully completed the task.",
debug_mode=True,
)
def run_team(task: str):
# Comment out after first run
agno_docs.load(recreate=True)
team_leader.print_response(
task,
stream=True,
stream_intermediate_steps=True,
show_full_reasoning=True,
)
if __name__ == "__main__":
run_team("What insights can you provide about reading and learning based on the knowledge and recent educational trends?")