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70 lines
2.3 KiB
Python
70 lines
2.3 KiB
Python
"""VectorStore agent."""
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from typing import Any, Dict, Optional
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from langchain.agents.agent import AgentExecutor
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from langchain.agents.agent_toolkits.vectorstore.prompt import PREFIX, ROUTER_PREFIX
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from langchain.agents.agent_toolkits.vectorstore.toolkit import (
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VectorStoreRouterToolkit,
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VectorStoreToolkit,
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)
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from langchain.agents.mrkl.base import ZeroShotAgent
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from langchain.base_language import BaseLanguageModel
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from langchain.callbacks.base import BaseCallbackManager
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from langchain.chains.llm import LLMChain
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def create_vectorstore_agent(
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llm: BaseLanguageModel,
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toolkit: VectorStoreToolkit,
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callback_manager: Optional[BaseCallbackManager] = None,
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prefix: str = PREFIX,
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verbose: bool = False,
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agent_executor_kwargs: Optional[Dict[str, Any]] = None,
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**kwargs: Dict[str, Any],
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) -> AgentExecutor:
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"""Construct a vectorstore agent from an LLM and tools."""
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tools = toolkit.get_tools()
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prompt = ZeroShotAgent.create_prompt(tools, prefix=prefix)
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llm_chain = LLMChain(
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llm=llm,
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prompt=prompt,
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callback_manager=callback_manager,
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)
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tool_names = [tool.name for tool in tools]
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agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names, **kwargs)
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return AgentExecutor.from_agent_and_tools(
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agent=agent,
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tools=tools,
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callback_manager=callback_manager,
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verbose=verbose,
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**(agent_executor_kwargs or {}),
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)
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def create_vectorstore_router_agent(
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llm: BaseLanguageModel,
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toolkit: VectorStoreRouterToolkit,
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callback_manager: Optional[BaseCallbackManager] = None,
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prefix: str = ROUTER_PREFIX,
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verbose: bool = False,
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agent_executor_kwargs: Optional[Dict[str, Any]] = None,
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**kwargs: Dict[str, Any],
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) -> AgentExecutor:
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"""Construct a vectorstore router agent from an LLM and tools."""
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tools = toolkit.get_tools()
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prompt = ZeroShotAgent.create_prompt(tools, prefix=prefix)
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llm_chain = LLMChain(
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llm=llm,
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prompt=prompt,
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callback_manager=callback_manager,
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)
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tool_names = [tool.name for tool in tools]
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agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names, **kwargs)
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return AgentExecutor.from_agent_and_tools(
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agent=agent,
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tools=tools,
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callback_manager=callback_manager,
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verbose=verbose,
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**(agent_executor_kwargs or {}),
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)
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