# Dataherald >[Dataherald](https://www.dataherald.com) is a natural language-to-SQL. This page covers how to use the `Dataherald API` within LangChain. ## Installation and Setup - Install requirements with ```bash pip install dataherald ``` - Go to dataherald and sign up [here](https://www.dataherald.com) - Create an app and get your `API KEY` - Set your `API KEY` as an environment variable `DATAHERALD_API_KEY` ## Wrappers ### Utility There exists a DataheraldAPIWrapper utility which wraps this API. To import this utility: ```python from langchain_community.utilities.dataherald import DataheraldAPIWrapper ``` For a more detailed walkthrough of this wrapper, see [this notebook](/docs/integrations/tools/dataherald). ### Tool You can use the tool in an agent like this: ```python 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="") 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?"}) ``` Output ```shell > 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"} ``` For more information on tools, see [this page](/docs/modules/tools/).