Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.upsonic.ai/llms.txt

Use this file to discover all available pages before exploring further.

​
Attributes

The Team class accepts the following parameters:
AttributeTypeDefaultDescription
agentslist[Any](required)List of Agent instances to use as team members
taskslist[Task] | NoneNoneList of tasks to execute (optional)
modelAny | NoneNoneModel provider for internal agents (leader, router)
response_formatAnystrResponse format for the final output
ask_other_team_membersboolFalseFlag to add other agents as tools
modestr"sequential"Operational mode: ‘sequential’, ‘coordinate’, or ‘route’
memoryMemory | NoneNoneShared memory for team coordination

​
Configuration Example

from upsonic import Agent, Task, Team
from upsonic import Memory
from upsonic.storage.providers.sqlite import SqliteStorage

# Create SQLite storage and memory
storage = SqliteStorage(
    db_file="memory.db",
    sessions_table_name="sessions",
    profiles_table_name="profiles"
)

memory = Memory(storage=storage, session_id="team_001")

# Create specialized agents
data_analyst = Agent(
    "anthropic/claude-sonnet-4-5",
    name="DataAnalyst",
    role="Data analysis expert"
)

report_writer = Agent(
    "anthropic/claude-sonnet-4-5",
    name="ReportWriter",
    role="Technical writer"
)

# Create team with configuration
team = Team(
    agents=[data_analyst, report_writer],
    mode="coordinate",
    model="anthropic/claude-sonnet-4-5",
    memory=memory,
    ask_other_team_members=True
)

# Define tasks
tasks = [
    Task("Analyze quarterly sales data"),
    Task("Write a comprehensive report based on the analysis")
]

# Execute team
result = team.do(tasks)
print(result)