openjiuwen_deepsearch.framework.openjiuwen.agent.agent_factory

class openjiuwen_deepsearch.framework.openjiuwen.agent.agent_factory.AgentFactory

class openjiuwen_deepsearch.framework.openjiuwen.agent.agent_factory.AgentFactory()

AgentFactory 是创建 Agent 实例的工厂类，会依据配置中的 search_mode和execution_method 返回不同类型的 Agent。

模块级行为：导入该模块时会根据 Config().service_config.workflow_execution_timeout 写入环境变量 WORKFLOW_EXECUTE_TIMEOUT。

init

__init__()

初始化工厂并构建执行方式到 Agent 类的映射：

• "parallel" → DeepresearchAgent
• dependency_driving → DeepresearchDependencyAgent
• search → DeepSearchAgent（详见 deepsearch_agent）

样例：

>>> from openjiuwen_deepsearch.framework.openjiuwen.agent.agent_factory import AgentFactory
>>> factory = AgentFactory()
>>> print(factory.agent_map)
{...}

create_agent

create_agent(agent_config: dict)

根据配置创建并返回对应的 Agent 实例。

参数：

• agent_config(dict)：Agent配置字典。会经过 validate_agent_required_field 与 AgentConfig.model_validate 校验。

返回：

• DeepresearchAgent：search_mode 为 "research" 且 execution_method 为 "parallel"（默认）
• DeepresearchDependencyAgent：search_mode 为 "research" 且 execution_method 为 dependency_driving
• DeepSearchAgent：search_mode 为 "search"
• SimpleReactSearchAgent：search_mode 为 "react"

异常：

• CustomValueException：入参校验失败或 execution agent 没找到时抛出。

样例：

>>> from openjiuwen_deepsearch.framework.openjiuwen.agent.agent_factory import AgentFactory
>>> factory = AgentFactory()

>>> # 样例1：并行执行
>>> agent_config = {
...     "llm_config": {"model_name": "gpt-4", "model_type": "openai"},
...     "search_mode": "research",
...     "execution_method": "parallel",
... }
>>> agent = factory.create_agent(agent_config)
>>> print(type(agent).__name__)
DeepresearchAgent

>>> # 样例2：依赖驱动执行
>>> agent_config = {
...     "llm_config": {"model_name": "gpt-4", "model_type": "openai"},
...     "search_mode": "research",
...     "execution_method": "dependency_driving",
... }
>>> agent = factory.create_agent(agent_config)
>>> print(type(agent).__name__)
DeepresearchDependencyAgent

>>> # 样例3：search（DeepSearchAgent）
>>> agent_config = {
...     "llm_config": {"model_name": "gpt-4", "model_type": "openai"},
...     "search_mode": "search",
... }
>>> agent = factory.create_agent(agent_config)
>>> print(type(agent).__name__)
DeepSearchAgent