data_juicer_agents#

DataJuicer Agent - A multi-agent data processing system

data_juicer_agents.create_agent(name: str, sys_prompt: str, toolkit: Toolkit, description: str | None = None, model: ChatModelBase | None = None, formatter: FormatterBase | None = None, memory: MemoryBase | None = None, max_iters: int = 10, parallel_tool_calls: bool = False, **kwargs) → ReActAgent[source]#

Create a ReActAgent with standardized configuration.

Parameters:

  • name – Agent identifier

  • sys_prompt – System prompt template (supports {name} placeholder)

  • toolkit – Toolkit instance

  • model – Language model (defaults to GPT-4o)

  • formatter – Message formatter (defaults to OpenAIChatFormatter)

  • memory – Memory instance (defaults to InMemoryMemory)

  • max_iters – Maximum reasoning iterations

  • parallel_tool_calls – Enable parallel tool execution

  • **kwargs – Additional ReActAgent arguments

Returns:

Configured ReActAgent instance

Example

>>> agent = create_agent(
...     name="sql_expert",
...     sys_prompt="You are {name}, a SQL database expert",
...     tools=sql_tools
... )
data_juicer_agents.register_dj_agent_hooks(agent)[source]#

Register cleaning hooks for DataJuicer agent.

Parameters:

agent – ReActAgent instance to register hooks for