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Support extra tools argument for pandas agent toolkit (#11040)

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**Description** 

We support adding new tools in some toolkits already like the [SQLAgent
toolkit](https://github.com/langchain-ai/langchain/blob/master/libs/langchain/langchain/agents/agent_toolkits/sql/base.py#L27).

Related
[SO](https://stackoverflow.com/questions/76583163/are-langchain-toolkits-able-to-be-modified-can-we-add-tools-to-a-pandas-datafra)
thread
This replicates the same functionality here, so users can add custom
bespoke tools.
This commit is contained in:
tanujtiwari-at 2023-09-27 10:57:04 -07:00 committed by GitHub
parent c4471d1877
commit a79f595543
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1 changed files with 7 additions and 3 deletions
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10
libs/langchain/langchain/agents/agent_toolkits/pandas/base.py
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@ -1,5 +1,5 @@
"""Agent for working with pandas objects."""
from typing import Any, Dict, List, Optional, Tuple
from typing import Any, Dict, List, Optional, Sequence, Tuple
from langchain.agents.agent import AgentExecutor, BaseSingleActionAgent
from langchain.agents.agent_toolkits.pandas.prompt import (
@ -21,6 +21,7 @@ from langchain.chains.llm import LLMChain
from langchain.schema import BasePromptTemplate
from langchain.schema.language_model import BaseLanguageModel
from langchain.schema.messages import SystemMessage
from langchain.tools import BaseTool
from langchain.tools.python.tool import PythonAstREPLTool
@ -280,12 +281,13 @@ def create_pandas_dataframe_agent(
agent_executor_kwargs: Optional[Dict[str, Any]] = None,
include_df_in_prompt: Optional[bool] = True,
number_of_head_rows: int = 5,
extra_tools: Sequence[BaseTool] = (),
**kwargs: Dict[str, Any],
) -> AgentExecutor:
"""Construct a pandas agent from an LLM and dataframe."""
agent: BaseSingleActionAgent
if agent_type == AgentType.ZERO_SHOT_REACT_DESCRIPTION:
prompt, tools = _get_prompt_and_tools(
prompt, base_tools = _get_prompt_and_tools(
df,
prefix=prefix,
suffix=suffix,
@ -293,6 +295,7 @@ def create_pandas_dataframe_agent(
include_df_in_prompt=include_df_in_prompt,
number_of_head_rows=number_of_head_rows,
)
tools = base_tools + list(extra_tools)
llm_chain = LLMChain(
llm=llm,
prompt=prompt,
@ -306,7 +309,7 @@ def create_pandas_dataframe_agent(
**kwargs,
)
elif agent_type == AgentType.OPENAI_FUNCTIONS:
_prompt, tools = _get_functions_prompt_and_tools(
_prompt, base_tools = _get_functions_prompt_and_tools(
df,
prefix=prefix,
suffix=suffix,
@ -314,6 +317,7 @@ def create_pandas_dataframe_agent(
include_df_in_prompt=include_df_in_prompt,
number_of_head_rows=number_of_head_rows,
)
tools = base_tools + list(extra_tools)
agent = OpenAIFunctionsAgent(
llm=llm,
prompt=_prompt,