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Durable Task Package (agent-framework-durabletask)

Durable execution support for long-running agent workflows using Azure Durable Functions.

Main Classes

Client Side

  • DurableAIAgentClient - Client for invoking durable agents
  • DurableAIAgent - Shim for creating durable agents

Worker Side

  • DurableAIAgentWorker - Worker that executes durable agent tasks
  • DurableAgentExecutor - Executes agent logic within durable context
  • AgentEntity - Durable entity for agent state management

State Management

  • DurableAgentState - State container for durable agents
  • DurableAgentSession - Session management for durable agents
  • DurableAIAgentOrchestrationContext - Orchestration context

Callbacks

  • AgentCallbackContext - Context for agent callbacks
  • AgentResponseCallbackProtocol - Protocol for response callbacks

Usage

from agent_framework import Agent
from agent_framework.openai import OpenAIChatCompletionClient
from agent_framework_durabletask import DurableAIAgentClient, DurableAIAgentWorker
from durabletask.client import TaskHubGrpcClient
from durabletask.worker import TaskHubGrpcWorker

# Client side
dt_client = TaskHubGrpcClient(host_address="localhost:4001")
agent_client = DurableAIAgentClient(dt_client)
durable_agent = agent_client.get_agent("assistant")

# Worker side
dt_worker = TaskHubGrpcWorker(host_address="localhost:4001")
agent_worker = DurableAIAgentWorker(dt_worker)

# Create a chat client for the agent
chat_client = OpenAIChatCompletionClient()
my_agent = Agent(client=chat_client, name="assistant")
agent_worker.add_agent(my_agent)

Import Path

from agent_framework_durabletask import DurableAIAgentClient, DurableAIAgentWorker