Source code for langchain_community.agent_toolkits.json.base

"""Json agent."""

from __future__ import annotations

from typing import TYPE_CHECKING, Any, Dict, List, Optional

from langchain_core.callbacks import BaseCallbackManager
from langchain_core.language_models import BaseLanguageModel

from langchain_community.agent_toolkits.json.prompt import JSON_PREFIX, JSON_SUFFIX
from langchain_community.agent_toolkits.json.toolkit import JsonToolkit

if TYPE_CHECKING:
    from langchain.agents.agent import AgentExecutor


[docs] def create_json_agent( llm: BaseLanguageModel, toolkit: JsonToolkit, callback_manager: Optional[BaseCallbackManager] = None, prefix: str = JSON_PREFIX, suffix: str = JSON_SUFFIX, format_instructions: Optional[str] = None, input_variables: Optional[List[str]] = None, verbose: bool = False, agent_executor_kwargs: Optional[Dict[str, Any]] = None, **kwargs: Any, ) -> AgentExecutor: """Construct a json agent from an LLM and tools. Args: llm: The language model to use. toolkit: The toolkit to use. callback_manager: The callback manager to use. Default is None. prefix: The prefix to use. Default is JSON_PREFIX. suffix: The suffix to use. Default is JSON_SUFFIX. format_instructions: The format instructions to use. Default is None. input_variables: The input variables to use. Default is None. verbose: Whether to print verbose output. Default is False. agent_executor_kwargs: Optional additional arguments for the agent executor. kwargs: Additional arguments for the agent. Returns: The agent executor. """ from langchain.agents.agent import AgentExecutor from langchain.agents.mrkl.base import ZeroShotAgent from langchain.chains.llm import LLMChain tools = toolkit.get_tools() prompt_params = ( {"format_instructions": format_instructions} if format_instructions is not None else {} ) prompt = ZeroShotAgent.create_prompt( tools, prefix=prefix, suffix=suffix, input_variables=input_variables, **prompt_params, ) llm_chain = LLMChain( llm=llm, prompt=prompt, callback_manager=callback_manager, ) tool_names = [tool.name for tool in tools] agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names, **kwargs) return AgentExecutor.from_agent_and_tools( agent=agent, tools=tools, callback_manager=callback_manager, verbose=verbose, **(agent_executor_kwargs or {}), )