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1.7 KiB
1.7 KiB
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 agentsDurableAIAgent- Shim for creating durable agents
Worker Side
DurableAIAgentWorker- Worker that executes durable agent tasksDurableAgentExecutor- Executes agent logic within durable contextAgentEntity- Durable entity for agent state management
State Management
DurableAgentState- State container for durable agentsDurableAgentSession- Session management for durable agentsDurableAIAgentOrchestrationContext- Orchestration context
Callbacks
AgentCallbackContext- Context for agent callbacksAgentResponseCallbackProtocol- 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