openjiuwen_deepsearch.framework.openjiuwen.agent.agent_factory

AgentFactory

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

AgentFactory builds Agent instances from search_mode and execution_method in config.

Module side effect: importing sets env var WORKFLOW_EXECUTE_TIMEOUT from Config().service_config.workflow_execution_timeout.

__init__

__init__()

Builds the execution-method → Agent class map:

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

Example:

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

create_agent

create_agent(agent_config: dict)

Validates config and returns the matching Agent instance.

Parameters:

• agent_config (dict): Passed through validate_agent_required_field and AgentConfig.model_validate.

Returns:

• DeepresearchAgent when search_mode is "research" and execution_method is "parallel" (default).
• DeepresearchDependencyAgent when search_mode is "research" and execution_method is dependency_driving.
• DeepSearchAgent when search_mode is "search".
• SimpleReactSearchAgent when search_mode is "react".

Raises:

• CustomValueException on validation failure or unknown execution method.

Example:

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

>>> # Example 1: parallel
>>> 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

>>> # Example 2: dependency-driven
>>> 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

>>> # Example 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