LangSmithLoader 文档加载器 的概览。有关所有 LangSmithLoader 功能和配置的详细文档，请访问 API 参考。
概览
集成详情
| 类 | 包 | 本地 | 可序列化 | Python 支持 |
|---|---|---|---|---|
LangSmithLoader | @langchain/core | ✅ | beta | ✅ |
加载器特性
| 来源 | Web 加载器 | 仅限 Node 环境 |
|---|---|---|
LangSmithLoader | ✅ | ❌ |
设置
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
在 langsmith.com 注册并生成 API 密钥。完成后，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：
npm install @langchain/core
yarn add @langchain/core
pnpm add @langchain/core
创建示例数据集
在此示例中，我们将创建一个新数据集，用于文档加载器。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",
// 除了 datasetName，您也可以提供 datasetId
// datasetId: dataset.id,
contentKey: "input",
limit: 5,
// formatContent: (content) => content,
// ... 其他选项
})
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
有关所有LangSmithLoader 功能和配置的详细文档，请访问 API 参考
连接这些文档 到 Claude、VSCode 等，通过 MCP 获取实时答案。