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according to https://js.langchain.com/docs/modules/agents/toolkits/sql import { SqlDatabase } from "langchain/sql_db"; import { DataSource } from "typeorm"; const datasource = new DataSource({ type: "sqlite", database: "Chinook.db", }); const db = await SqlDatabase.fromDataSourceParams({ appDataSource: datasource, }); and npm install --save sqlite3
according to https://js.langchain.com/docs/modules/agents/executor/getting-started should be import { Calculator } from "langchain/tools/calculator"; and import { initializeAgentExecutorWithOptions } from "langchain/agents"; ... const executor = await initializeAgentExecutorWithOptions(tools, model, { agentType: "zero-shot-react-description", verbose: true, });
in //Import the PromptTemplate module import { PromptTemplate } from "langchain/prompts"; export const run = async () => { //Create the template. The template is actually a "parameterized prompt". A "parameterized prompt" is a prompt in which the input parameter names are used and the parameter values are supplied from external input const template = "What is a good name for a company that makes {product}?"; //Instantiate "PromptTemplate" passing the prompt template string initialized above and a list of variable names the final prompt template will expect const prompt = new PromptTemplate({ template, inputVariables: ["product"] }); //Create a new prompt from the combination of the template and input variables. Pass the value for the variable name that was sent in the "inputVariables" list passed to "PromptTemplate" initialization call const res = prompt.format({ product: "colorful socks" }); console.log({ res }); }; run(); it should be const res = await prompt.format({ product: "colorful socks" }); , with await otherwise, res = Promise <pending>