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SqlToolkit

这将帮助您开始使用 SqlToolkit。有关所有 SqlToolkit 功能和配置的详细文档，请访问 API 参考。您也可以在这里找到 Python 等效文档的 链接。

此工具包包含以下工具

名称描述
query-sql此工具的输入是详细且正确的 SQL 查询，输出是数据库中的结果。如果查询不正确，将返回错误消息。如果返回错误，请重写查询，检查查询，然后重试。
info-sql此工具的输入是逗号分隔的表列表，输出是这些表的模式和示例行。请确保通过先调用 list-tables-sql 来检查表是否确实存在！示例输入：“table1, table2, table3”。
list-tables-sql输入为空字符串，输出是数据库中逗号分隔的表列表。
query-checker使用此工具在执行查询之前仔细检查查询是否正确。在使用 query-sql 执行查询之前，始终使用此工具！

此工具包对于在 SQL 数据库上提问、执行查询、验证查询等非常有用。

设置​

此示例使用 Chinook 数据库，这是一个可用于 SQL Server、Oracle、MySQL 等的示例数据库。要设置它，请按照 这些说明 进行操作，将 .db 文件放在代码所在的目录中。

如果您希望从单个工具的运行中获取自动跟踪，您还可以通过取消下面的注释来设置您的 LangSmith API 密钥

process.env.LANGCHAIN_TRACING_V2 = "true";
process.env.LANGCHAIN_API_KEY = "your-api-key";

安装​

此工具包位于 langchain 包中。您还需要安装 typeorm 对等依赖项。

提示

有关安装集成包的常规说明，请参阅 本部分。

yarn add langchain @langchain/core typeorm

实例化​

首先，我们需要定义要在工具包中使用的 LLM。

选择您的聊天模型

安装依赖项

提示

参见 有关安装集成包的常规说明，请参阅本部分.

yarn add @langchain/openai

添加环境变量

OPENAI_API_KEY=your-api-key

实例化模型

import { ChatOpenAI } from "@langchain/openai";

const llm = new ChatOpenAI({
  model: "gpt-4o-mini",
  temperature: 0
});
import { SqlToolkit } from "langchain/agents/toolkits/sql";
import { DataSource } from "typeorm";
import { SqlDatabase } from "langchain/sql_db";

const datasource = new DataSource({
  type: "sqlite",
  database: "../../../../../../Chinook.db", // Replace with the link to your database
});
const db = await SqlDatabase.fromDataSourceParams({
  appDataSource: datasource,
});

const toolkit = new SqlToolkit(db, llm);

工具​

查看可用工具

const tools = toolkit.getTools();

console.log(
  tools.map((tool) => ({
    name: tool.name,
    description: tool.description,
  }))
);
[
  {
    name: 'query-sql',
    description: 'Input to this tool is a detailed and correct SQL query, output is a result from the database.\n' +
      '  If the query is not correct, an error message will be returned.\n' +
      '  If an error is returned, rewrite the query, check the query, and try again.'
  },
  {
    name: 'info-sql',
    description: 'Input to this tool is a comma-separated list of tables, output is the schema and sample rows for those tables.\n' +
      '    Be sure that the tables actually exist by calling list-tables-sql first!\n' +
      '\n' +
      '    Example Input: "table1, table2, table3.'
  },
  {
    name: 'list-tables-sql',
    description: 'Input is an empty string, output is a comma-separated list of tables in the database.'
  },
  {
    name: 'query-checker',
    description: 'Use this tool to double check if your query is correct before executing it.\n' +
      '    Always use this tool before executing a query with query-sql!'
  }
]

在代理中使用​

首先，确保您已安装 LangGraph

yarn add @langchain/langgraph
import { createReactAgent } from "@langchain/langgraph/prebuilt";

const agentExecutor = createReactAgent({ llm, tools });
const exampleQuery = "Can you list 10 artists from my database?";

const events = await agentExecutor.stream(
  { messages: [["user", exampleQuery]] },
  { streamMode: "values" }
);

for await (const event of events) {
  const lastMsg = event.messages[event.messages.length - 1];
  if (lastMsg.tool_calls?.length) {
    console.dir(lastMsg.tool_calls, { depth: null });
  } else if (lastMsg.content) {
    console.log(lastMsg.content);
  }
}
[
  {
    name: 'list-tables-sql',
    args: {},
    type: 'tool_call',
    id: 'call_LqsRA86SsKmzhRfSRekIQtff'
  }
]
Album, Artist, Customer, Employee, Genre, Invoice, InvoiceLine, MediaType, Playlist, PlaylistTrack, Track
[
  {
    name: 'query-checker',
    args: { input: 'SELECT * FROM Artist LIMIT 10;' },
    type: 'tool_call',
    id: 'call_MKBCjt4gKhl5UpnjsMHmDrBH'
  }
]
The SQL query you provided is:

```sql
SELECT * FROM Artist LIMIT 10;
```

This query is straightforward and does not contain any of the common mistakes listed. It simply selects all columns from the `Artist` table and limits the result to 10 rows.

Therefore, there are no mistakes to correct, and the original query can be reproduced as is:

```sql
SELECT * FROM Artist LIMIT 10;
```
[
  {
    name: 'query-sql',
    args: { input: 'SELECT * FROM Artist LIMIT 10;' },
    type: 'tool_call',
    id: 'call_a8MPiqXPMaN6yjN9i7rJctJo'
  }
]
[{"ArtistId":1,"Name":"AC/DC"},{"ArtistId":2,"Name":"Accept"},{"ArtistId":3,"Name":"Aerosmith"},{"ArtistId":4,"Name":"Alanis Morissette"},{"ArtistId":5,"Name":"Alice In Chains"},{"ArtistId":6,"Name":"Antônio Carlos Jobim"},{"ArtistId":7,"Name":"Apocalyptica"},{"ArtistId":8,"Name":"Audioslave"},{"ArtistId":9,"Name":"BackBeat"},{"ArtistId":10,"Name":"Billy Cobham"}]
Here are 10 artists from your database:

1. AC/DC
2. Accept
3. Aerosmith
4. Alanis Morissette
5. Alice In Chains
6. Antônio Carlos Jobim
7. Apocalyptica
8. Audioslave
9. BackBeat
10. Billy Cobham

API 参考​

有关所有 SqlToolkit 功能和配置的详细文档，请访问 API 参考。

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