forked from Archives/langchain
You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
63 lines
2.2 KiB
Python
63 lines
2.2 KiB
Python
"""Power BI agent."""
|
|
from typing import Any, Dict, List, Optional
|
|
|
|
from langchain.agents import AgentExecutor
|
|
from langchain.agents.agent_toolkits.powerbi.prompt import (
|
|
POWERBI_PREFIX,
|
|
POWERBI_SUFFIX,
|
|
)
|
|
from langchain.agents.agent_toolkits.powerbi.toolkit import PowerBIToolkit
|
|
from langchain.agents.mrkl.base import ZeroShotAgent
|
|
from langchain.agents.mrkl.prompt import FORMAT_INSTRUCTIONS
|
|
from langchain.base_language import BaseLanguageModel
|
|
from langchain.callbacks.base import BaseCallbackManager
|
|
from langchain.chains.llm import LLMChain
|
|
from langchain.utilities.powerbi import PowerBIDataset
|
|
|
|
|
|
def create_pbi_agent(
|
|
llm: BaseLanguageModel,
|
|
toolkit: Optional[PowerBIToolkit],
|
|
powerbi: Optional[PowerBIDataset] = None,
|
|
callback_manager: Optional[BaseCallbackManager] = None,
|
|
prefix: str = POWERBI_PREFIX,
|
|
suffix: str = POWERBI_SUFFIX,
|
|
format_instructions: str = FORMAT_INSTRUCTIONS,
|
|
examples: Optional[str] = None,
|
|
input_variables: Optional[List[str]] = None,
|
|
top_k: int = 10,
|
|
verbose: bool = False,
|
|
agent_executor_kwargs: Optional[Dict[str, Any]] = None,
|
|
**kwargs: Dict[str, Any],
|
|
) -> AgentExecutor:
|
|
"""Construct a pbi agent from an LLM and tools."""
|
|
if toolkit is None:
|
|
if powerbi is None:
|
|
raise ValueError("Must provide either a toolkit or powerbi dataset")
|
|
toolkit = PowerBIToolkit(powerbi=powerbi, llm=llm, examples=examples)
|
|
tools = toolkit.get_tools()
|
|
|
|
agent = ZeroShotAgent(
|
|
llm_chain=LLMChain(
|
|
llm=llm,
|
|
prompt=ZeroShotAgent.create_prompt(
|
|
tools,
|
|
prefix=prefix.format(top_k=top_k),
|
|
suffix=suffix,
|
|
format_instructions=format_instructions,
|
|
input_variables=input_variables,
|
|
),
|
|
callback_manager=callback_manager, # type: ignore
|
|
verbose=verbose,
|
|
),
|
|
allowed_tools=[tool.name for tool in tools],
|
|
**kwargs,
|
|
)
|
|
return AgentExecutor.from_agent_and_tools(
|
|
agent=agent,
|
|
tools=tools,
|
|
callback_manager=callback_manager,
|
|
verbose=verbose,
|
|
**(agent_executor_kwargs or {}),
|
|
)
|