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Synqed - A wrapper around A2A for simplified multi-agent systems interaction and communication

Project description

Synqed

A Python SDK for building multi-agent systems with workspace-based orchestration.

Installation

pip install synqed

Quick Start

import synqed
from synqed import PlannerLLM, WorkspaceExecutionEngine, WorkspaceManager

# Initialize the planner
planner = PlannerLLM(
    provider="anthropic",
    api_key="your-api-key",
)

# Plan a task and create agents
task_plan, agent_specs = await planner.plan_task_and_create_agent_specs(
    user_task="Your task description",
    agent_provider="anthropic",
    agent_api_key="your-api-key",
)

# Create agents from specs
agents = synqed.create_agents_from_specs(agent_specs)

# Register agents
for agent in agents:
    synqed.AgentRuntimeRegistry.register(agent.name, agent)

# Create workspace manager and execution engine
workspace_manager = synqed.WorkspaceManager()
execution_engine = synqed.WorkspaceExecutionEngine(
    planner=planner,
    workspace_manager=workspace_manager,
)

# Create and run workspaces
root_workspace = await workspace_manager.create_workspace(
    task_tree_node=task_plan.root,
    parent_workspace_id=None,
)

await execution_engine.run_workspace(root_workspace.workspace_id)

Features

  • PlannerLLM: Task decomposition and agent specification generation
  • WorkspaceManager: Hierarchical workspace creation and management
  • WorkspaceExecutionEngine: Multi-agent execution with message routing
  • PlannerAgent: CEO-style coordinator for root workspaces
  • Agent: Flexible agent creation with custom logic functions
  • MCP Integration: Optional Model Context Protocol support

License

MIT

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