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LangSmithLoader

本笔记本提供了与 LangSmithLoader 快速入门的概览。如需了解所有 LangSmithLoader 功能和配置的详细文档，请前往 API 参考。

概览​

集成详情​

类别包本地可序列化Python 支持
LangSmithLoader@langchain/community✅beta✅

加载器功能​

来源网络加载器仅限 Node 环境
LangSmithLoader✅❌

准备工作​

要访问 LangSmith 文档加载器，您需要安装 @langchain/core、创建一个 LangSmith 账户并获取 API 密钥。

凭证信息​

请在 https://langsmith.com 注册账户并生成 API 密钥。完成此操作后，请设置 LANGSMITH_API_KEY 环境变量：

export LANGSMITH_API_KEY="your-api-key"

安装​

LangSmithLoader 集成位于 @langchain/core 包中：

:::提示 请参阅安装集成包的一般说明部分。 :::

yarn add @langchain/core

创建示例数据集​

在这个示例中，我们将创建一个新的数据集，并在我们的文档加载器中使用它。

import { Client as LangSmithClient } from "langsmith";
import { faker } from "@faker-js/faker";

const lsClient = new LangSmithClient();

const datasetName = "LangSmith Few Shot Datasets Notebook";

const exampleInputs = Array.from({ length: 10 }, (_, i) => ({
  input: faker.lorem.paragraph(),
}));
const exampleOutputs = Array.from({ length: 10 }, (_, i) => ({
  output: faker.lorem.sentence(),
}));
const exampleMetadata = Array.from({ length: 10 }, (_, i) => ({
  companyCatchPhrase: faker.company.catchPhrase(),
}));

await lsClient.deleteDataset({
  datasetName,
});

const dataset = await lsClient.createDataset(datasetName);

const examples = await lsClient.createExamples({
  inputs: exampleInputs,
  outputs: exampleOutputs,
  metadata: exampleMetadata,
  datasetId: dataset.id,
});
import { LangSmithLoader } from "@langchain/core/document_loaders/langsmith";

const loader = new LangSmithLoader({
  datasetName: "LangSmith Few Shot Datasets Notebook",
  // Instead of a datasetName, you can alternatively provide a datasetId
  // datasetId: dataset.id,
  contentKey: "input",
  limit: 5,
  // formatContent: (content) => content,
  // ... other options
});

加载​

const docs = await loader.load();
docs[0];
{
  pageContent: 'Conventus supellex aegrotatio termes. Vapulus abscido ubi vita coadunatio modi crapula comparo caecus. Acervus voluptate tergeo pariatur conor argumentum inventore vomito stella.',
  metadata: {
    id: 'f1a04800-6f7a-4232-9743-fb5d9029bf1f',
    created_at: '2024-08-20T17:01:38.984045+00:00',
    modified_at: '2024-08-20T17:01:38.984045+00:00',
    name: '#f1a0 @ LangSmith Few Shot Datasets Notebook',
    dataset_id: '9ccd66e6-e506-478c-9095-3d9e27575a89',
    source_run_id: null,
    metadata: {
      dataset_split: [Array],
      companyCatchPhrase: 'Integrated solution-oriented secured line'
    },
    inputs: {
      input: 'Conventus supellex aegrotatio termes. Vapulus abscido ubi vita coadunatio modi crapula comparo caecus. Acervus voluptate tergeo pariatur conor argumentum inventore vomito stella.'
    },
    outputs: {
      output: 'Excepturi adeptio spectaculum bis volaticus accusamus.'
    }
  }
}
console.log(docs[0].metadata);
{
  id: 'f1a04800-6f7a-4232-9743-fb5d9029bf1f',
  created_at: '2024-08-20T17:01:38.984045+00:00',
  modified_at: '2024-08-20T17:01:38.984045+00:00',
  name: '#f1a0 @ LangSmith Few Shot Datasets Notebook',
  dataset_id: '9ccd66e6-e506-478c-9095-3d9e27575a89',
  source_run_id: null,
  metadata: {
    dataset_split: [ 'base' ],
    companyCatchPhrase: 'Integrated solution-oriented secured line'
  },
  inputs: {
    input: 'Conventus supellex aegrotatio termes. Vapulus abscido ubi vita coadunatio modi crapula comparo caecus. Acervus voluptate tergeo pariatur conor argumentum inventore vomito stella.'
  },
  outputs: { output: 'Excepturi adeptio spectaculum bis volaticus accusamus.' }
}
console.log(docs[0].metadata.inputs);
{
  input: 'Conventus supellex aegrotatio termes. Vapulus abscido ubi vita coadunatio modi crapula comparo caecus. Acervus voluptate tergeo pariatur conor argumentum inventore vomito stella.'
}
console.log(docs[0].metadata.outputs);
{ output: 'Excepturi adeptio spectaculum bis volaticus accusamus.' }
console.log(Object.keys(docs[0].metadata));
[
  'id',
  'created_at',
  'modified_at',
  'name',
  'dataset_id',
  'source_run_id',
  'metadata',
  'inputs',
  'outputs'
]

API 参考​

如需详细了解所有 LangSmithLoader 的功能和配置，请访问 API 参考

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