Dataherald

Dataherald 是一个自然语言转 SQL 的工具。

此页面介绍如何在 LangChain 中使用 Dataherald API。

安装和设置

• 使用以下命令安装依赖

pip install dataherald

• 前往 dataherald 并在 这里 注册
• 创建一个应用并获取你的 API KEY
• 将你的 API KEY 设置为环境变量 DATAHERALD_API_KEY

包装器

实用工具

存在一个 DataheraldAPIWrapper 实用工具，它封装了这个 API。要导入此实用工具：

from langchain_community.utilities.dataherald import DataheraldAPIWrapper

有关此封装的更详细说明，请参见 此笔记本。

工具

您可以在代理中使用该工具，如下所示：

from langchain_community.utilities.dataherald import DataheraldAPIWrapper
from langchain_community.tools.dataherald.tool import DataheraldTextToSQL
from langchain_openai import ChatOpenAI
from langchain import hub
from langchain.agents import AgentExecutor, create_react_agent, load_tools

api_wrapper = DataheraldAPIWrapper(db_connection_id="<db_connection_id>")
tool = DataheraldTextToSQL(api_wrapper=api_wrapper)
llm = ChatOpenAI(model="gpt-3.5-turbo", temperature=0)
prompt = hub.pull("hwchase17/react")
agent = create_react_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
agent_executor.invoke({"input":"Return the sql for this question: How many employees are in the company?"})

输出

> Entering new AgentExecutor chain...
I need to use a tool that can convert this question into SQL.
Action: dataherald
Action Input: How many employees are in the company?Answer: SELECT
    COUNT(*) FROM employeesI now know the final answer
Final Answer: SELECT
    COUNT(*)
FROM
    employees

> Finished chain.
{'input': 'Return the sql for this question: How many employees are in the company?', 'output': "SELECT \n    COUNT(*)\nFROM \n    employees"}

有关工具的更多信息，请参见 此页面.