diff --git a/.github/workflows/unit-tests-integrations.yml b/.github/workflows/unit-tests-integrations.yml
index c3cbc5e2e292..5e77222654cb 100644
--- a/.github/workflows/unit-tests-integrations.yml
+++ b/.github/workflows/unit-tests-integrations.yml
@@ -45,7 +45,7 @@ jobs:
needs: get-changed-files
runs-on: ubuntu-latest
env:
- PACKAGES: "anthropic,azure-openai,cloudflare,cohere,core,community,exa,google-common,google-gauth,google-genai,google-vertexai,google-vertexai-web,google-webauth,groq,mistralai,mongo,nomic,openai,pinecone,qdrant,redis,textsplitters,weaviate,yandex"
+ PACKAGES: "anthropic,azure-openai,cloudflare,cohere,core,community,exa,google-common,google-gauth,google-genai,google-vertexai,google-vertexai-web,google-webauth,groq,mistralai,mongo,nomic,openai,pinecone,qdrant,redis,textsplitters,weaviate,yandex,baidu-qianfan"
outputs:
matrix: ${{ steps.set-matrix.outputs.matrix }}
steps:
@@ -95,4 +95,4 @@ jobs:
- name: Install dependencies
run: yarn install --immutable
- name: Test '@langchain/${{ matrix.package }}' package
- run: yarn test:unit:ci --filter=@langchain/${{ matrix.package }}
+ run: yarn test:unit:ci --filter=@langchain/${{ matrix.package }}
\ No newline at end of file
diff --git a/docs/core_docs/docs/integrations/chat/baidu_qianfan.mdx b/docs/core_docs/docs/integrations/chat/baidu_qianfan.mdx
new file mode 100644
index 000000000000..246bb9db1a01
--- /dev/null
+++ b/docs/core_docs/docs/integrations/chat/baidu_qianfan.mdx
@@ -0,0 +1,37 @@
+---
+sidebar_label: Baidu Qianfan
+---
+
+import CodeBlock from "@theme/CodeBlock";
+
+# ChatBaiduQianfan
+
+## Setup
+
+You'll first need to install the [`@langchain/baidu-qianfan`](https://www.npmjs.com/package/@langchain/baidu-qianfan) package:
+
+import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
+
+
+
+```bash npm2yarn
+npm install @langchain/baidu-qianfan
+```
+
+Available models: `ERNIE-Bot`,`ERNIE-Bot-turbo`,`ERNIE-Bot-4`,`ERNIE-Speed-8K`,`ERNIE-Speed-128K`,`ERNIE-4.0-8K`,
+`ERNIE-4.0-8K-Preview`,`ERNIE-3.5-8K`,`ERNIE-3.5-8K-Preview`,`ERNIE-Lite-8K`,`ERNIE-Tiny-8K`,`ERNIE-Character-8K`,
+`ERNIE Speed-AppBuilder`
+
+## Usage
+
+import ChatBaiduQianfanExample from "@examples/models/chat/chat_baidu_qianfan.ts";
+
+{ChatBaiduQianfanExample}
+
+## Streaming
+
+Qianfan's API also supports streaming token responses. The example below demonstrates how to use this feature.
+
+import ChatBaiduQianfanStreamExample from "@examples/models/chat/chat_stream_baidu_qianfan.ts";
+
+{ChatBaiduQianfanStreamExample}
diff --git a/docs/core_docs/docs/integrations/chat/baidu_wenxin.mdx b/docs/core_docs/docs/integrations/chat/baidu_wenxin.mdx
index 7b5b92d3d455..08148d8ac1bc 100644
--- a/docs/core_docs/docs/integrations/chat/baidu_wenxin.mdx
+++ b/docs/core_docs/docs/integrations/chat/baidu_wenxin.mdx
@@ -1,11 +1,18 @@
---
sidebar_label: Baidu Wenxin
+sidebar_class_name: hidden
---
import CodeBlock from "@theme/CodeBlock";
# ChatBaiduWenxin
+:::warning
+This class has been deprecated.
+
+Use the [`@langchain/baidu-qianfan`](/docs/integrations/chat/baidu_qianfan/) package instead.
+:::
+
LangChain.js supports Baidu's ERNIE-bot family of models. Here's an example:
import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
diff --git a/docs/core_docs/docs/integrations/text_embedding/baidu_qianfan.mdx b/docs/core_docs/docs/integrations/text_embedding/baidu_qianfan.mdx
index 341310c6d9f5..116e75d20239 100644
--- a/docs/core_docs/docs/integrations/text_embedding/baidu_qianfan.mdx
+++ b/docs/core_docs/docs/integrations/text_embedding/baidu_qianfan.mdx
@@ -1,27 +1,21 @@
----
-sidebar_class_name: node-only
----
-
# Baidu Qianfan
The `BaiduQianfanEmbeddings` class uses the Baidu Qianfan API to generate embeddings for a given text.
## Setup
-Official Website: https://cloud.baidu.com/doc/WENXINWORKSHOP/s/alj562vvu
-
An API key is required to use this embedding model. You can get one by registering at https://cloud.baidu.com/doc/WENXINWORKSHOP/s/alj562vvu.
Please set the acquired API key as an environment variable named BAIDU_API_KEY, and set your secret key as an environment variable named BAIDU_SECRET_KEY.
-Then, you'll need to install the [`@langchain/community`](https://www.npmjs.com/package/@langchain/community) package:
+Then, you'll need to install the [`@langchain/baidu-qianfan`](https://www.npmjs.com/package/@langchain/baidu-qianfan) package:
import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/baidu-qianfan
```
## Usage
diff --git a/examples/package.json b/examples/package.json
index eebdfe237c67..597bfd475cde 100644
--- a/examples/package.json
+++ b/examples/package.json
@@ -37,6 +37,7 @@
"@langchain/aws": "workspace:*",
"@langchain/azure-dynamic-sessions": "workspace:^",
"@langchain/azure-openai": "workspace:*",
+ "@langchain/baidu-qianfan": "workspace:*",
"@langchain/cloudflare": "workspace:*",
"@langchain/cohere": "workspace:*",
"@langchain/community": "workspace:*",
diff --git a/examples/src/embeddings/baidu_qianfan.ts b/examples/src/embeddings/baidu_qianfan.ts
index 9a85ddc6d7b4..c0e76c04a71d 100644
--- a/examples/src/embeddings/baidu_qianfan.ts
+++ b/examples/src/embeddings/baidu_qianfan.ts
@@ -1,4 +1,4 @@
-import { BaiduQianfanEmbeddings } from "@langchain/community/embeddings/baidu_qianfan";
+import { BaiduQianfanEmbeddings } from "@langchain/baidu-qianfan";
const embeddings = new BaiduQianfanEmbeddings();
const res = await embeddings.embedQuery(
diff --git a/examples/src/models/chat/chat_baidu_qianfan.ts b/examples/src/models/chat/chat_baidu_qianfan.ts
new file mode 100644
index 000000000000..9163d1a5bbde
--- /dev/null
+++ b/examples/src/models/chat/chat_baidu_qianfan.ts
@@ -0,0 +1,37 @@
+import { ChatBaiduQianfan } from "@langchain/baidu-qianfan";
+import { HumanMessage } from "@langchain/core/messages";
+
+const chat = new ChatBaiduQianfan({
+ qianfanAccessKey: process.env.QIANFAN_ACCESS_KEY,
+ qianfanSecretKey: process.env.QIANFAN_SECRET_KEY,
+ model: "ERNIE-Bot-turbo",
+});
+
+const message = new HumanMessage("北京天气");
+const res = await chat.invoke([message]);
+console.log({ res });
+/**
+ {
+ res: AIMessage {
+ lc_serializable: true,
+ lc_kwargs: {
+ content: '北京天气**多云，气温13~24°C**，微风，空气质量良，预报无持续降水^[2]^。\n' +
+ '\n' +
+ '近期天气情况来说，白天最高气温多在30度左右，而夜晚最低气温仅有几度，早晚较凉，需要做好保暖，昼夜温差较大。由于现在正处于雨水节气，此时天气阴沉、多变，时而下起冰雹，时而下起大雨，天色昏暗。冰雹时间不会持续太长，通常都是下冰雹一小段时间后就会停止，天气就会逐渐恢复晴好^[1]^。',
+ tool_calls: [],
+ invalid_tool_calls: [],
+ additional_kwargs: {},
+ response_metadata: {}
+ },
+ lc_namespace: [ 'langchain_core', 'messages' ],
+ content: '北京天气**多云，气温13~24°C**，微风，空气质量良，预报无持续降水^[2]^。\n' +
+ '\n' +
+ '近期天气情况来说，白天最高气温多在30度左右，而夜晚最低气温仅有几度，早晚较凉，需要做好保暖，昼夜温差较大。由于现在正处于雨水节气，此时天气阴沉、多变，时而下起冰雹，时而下起大雨，天色昏暗。冰雹时间不会持续太长，通常都是下冰雹一小段时间后就会停止，天气就会逐渐恢复晴好^[1]^。',
+ name: undefined,
+ additional_kwargs: {},
+ response_metadata: { tokenUsage: [Object] },
+ tool_calls: [],
+ invalid_tool_calls: []
+ }
+ }
+ */
diff --git a/examples/src/models/chat/chat_stream_baidu_qianfan.ts b/examples/src/models/chat/chat_stream_baidu_qianfan.ts
new file mode 100644
index 000000000000..bac05472eda3
--- /dev/null
+++ b/examples/src/models/chat/chat_stream_baidu_qianfan.ts
@@ -0,0 +1,47 @@
+import { ChatBaiduQianfan } from "@langchain/baidu-qianfan";
+import { HumanMessage } from "@langchain/core/messages";
+
+const chat = new ChatBaiduQianfan({
+ qianfanAccessKey: process.env.QIANFAN_ACCESS_KEY,
+ qianfanSecretKey: process.env.QIANFAN_SECRET_KEY,
+ model: "ERNIE-Bot-turbo",
+ streaming: true,
+});
+
+const message = new HumanMessage("等额本金和等额本息有什么区别？");
+const res = await chat.invoke([message]);
+console.log({ res });
+
+/**
+ {
+ res: AIMessage {
+ lc_serializable: true,
+ lc_kwargs: {
+ content: 'undefined等额本金和等额本息是两种常见的贷款还款方式，它们之间的主要区别在于计息方式、每月还款额和利息支出等方面。\n' +
+ '\n' +
+ '1. 计息方式：等额本金是一种按月递减的计息方式，每月偿还相同数额的本金和剩余贷款在该月产生的利息。而等额本息则是每月偿还相同金额的利息，根据贷款金额和贷款期限计算月供，本金和利息在每月还款中占的比例逐月变化。\n' +
+ '2. 每月还款额：由于等额本息每月偿还的利息占每月还款总额的比例逐渐减少，导致每月还款额逐渐增加，而等额本金每月偿还的本金相同，因此每月还款额逐渐减少。\n' +
+ '3. 利息支出：在贷款期限相同的情况下，等额本金的利息支出相对较少，因为随着本金的减少，剩余贷款产生的利息也相应减少。而等额本息的利息支出则相对较高，因为每月偿还的利息逐渐减少，导致总利息支出相对较高。\n' +
+ '\n' +
+ '总之，等额本金和等额本息在贷款期限相同的情况下，等额本金由于利息支出相对较少，更适合于资金充裕、有提前还款打算的借款人；而等额本息每月还款额固定，更适合于每月收入较高的借款人。',
+ tool_calls: [],
+ invalid_tool_calls: [],
+ additional_kwargs: {},
+ response_metadata: {}
+ },
+ lc_namespace: [ 'langchain_core', 'messages' ],
+ content: 'undefined等额本金和等额本息是两种常见的贷款还款方式，它们之间的主要区别在于计息方式、每月还款额和利息支出等方面。\n' +
+ '\n' +
+ '1. 计息方式：等额本金是一种按月递减的计息方式，每月偿还相同数额的本金和剩余贷款在该月产生的利息。而等额本息则是每月偿还相同金额的利息，根据贷款金额和贷款期限计算月供，本金和利息在每月还款中占的比例逐月变化。\n' +
+ '2. 每月还款额：由于等额本息每月偿还的利息占每月还款总额的比例逐渐减少，导致每月还款额逐渐增加，而等额本金每月偿还的本金相同，因此每月还款额逐渐减少。\n' +
+ '3. 利息支出：在贷款期限相同的情况下，等额本金的利息支出相对较少，因为随着本金的减少，剩余贷款产生的利息也相应减少。而等额本息的利息支出则相对较高，因为每月偿还的利息逐渐减少，导致总利息支出相对较高。\n' +
+ '\n' +
+ '总之，等额本金和等额本息在贷款期限相同的情况下，等额本金由于利息支出相对较少，更适合于资金充裕、有提前还款打算的借款人；而等额本息每月还款额固定，更适合于每月收入较高的借款人。',
+ name: undefined,
+ additional_kwargs: {},
+ response_metadata: { tokenUsage: [Object] },
+ tool_calls: [],
+ invalid_tool_calls: []
+ }
+ }
+ */
diff --git a/examples/src/models/chat/integration_qianfan.ts b/examples/src/models/chat/integration_qianfan.ts
new file mode 100644
index 000000000000..51600c2a6d61
--- /dev/null
+++ b/examples/src/models/chat/integration_qianfan.ts
@@ -0,0 +1,38 @@
+import { ChatBaiduWenxin } from "@langchain/community/chat_models/baiduwenxin";
+import { HumanMessage } from "@langchain/core/messages";
+
+// Default model is ERNIE-Bot-turbo
+const ernieTurbo = new ChatBaiduWenxin({
+ baiduApiKey: "YOUR-API-KEY", // In Node.js defaults to process.env.BAIDU_API_KEY
+ baiduSecretKey: "YOUR-SECRET-KEY", // In Node.js defaults to process.env.BAIDU_SECRET_KEY
+});
+
+// Use ERNIE-Bot
+const ernie = new ChatBaiduWenxin({
+ model: "ERNIE-Bot", // Available models are shown above
+ temperature: 1,
+ baiduApiKey: "YOUR-API-KEY", // In Node.js defaults to process.env.BAIDU_API_KEY
+ baiduSecretKey: "YOUR-SECRET-KEY", // In Node.js defaults to process.env.BAIDU_SECRET_KEY
+});
+
+const messages = [new HumanMessage("Hello")];
+
+let res = await ernieTurbo.invoke(messages);
+/*
+AIChatMessage {
+ text: 'Hello! How may I assist you today?',
+ name: undefined,
+ additional_kwargs: {}
+ }
+}
+*/
+
+res = await ernie.invoke(messages);
+/*
+AIChatMessage {
+ text: 'Hello! How may I assist you today?',
+ name: undefined,
+ additional_kwargs: {}
+ }
+}
+*/
diff --git a/libs/langchain-baidu-qianfan/.eslintrc.cjs b/libs/langchain-baidu-qianfan/.eslintrc.cjs
new file mode 100644
index 000000000000..42618f39198e
--- /dev/null
+++ b/libs/langchain-baidu-qianfan/.eslintrc.cjs
@@ -0,0 +1,75 @@
+module.exports = {
+ extends: [
+ "airbnb-base",
+ "eslint:recommended",
+ "prettier",
+ "plugin:@typescript-eslint/recommended",
+ ],
+ parserOptions: {
+ ecmaVersion: 12,
+ parser: "@typescript-eslint/parser",
+ project: "./tsconfig.json",
+ sourceType: "module",
+ },
+ plugins: ["@typescript-eslint", "no-instanceof"],
+ ignorePatterns: [
+ ".eslintrc.cjs",
+ "scripts",
+ "node_modules",
+ "dist",
+ "dist-cjs",
+ "*.js",
+ "*.cjs",
+ "*.d.ts",
+ ],
+ rules: {
+ "no-process-env": 2,
+ "no-instanceof/no-instanceof": 2,
+ "@typescript-eslint/explicit-module-boundary-types": 0,
+ "@typescript-eslint/no-empty-function": 0,
+ "@typescript-eslint/no-shadow": 0,
+ "@typescript-eslint/no-empty-interface": 0,
+ "@typescript-eslint/no-use-before-define": ["error", "nofunc"],
+ "@typescript-eslint/no-unused-vars": ["warn", { args: "none" }],
+ "@typescript-eslint/no-floating-promises": "error",
+ "@typescript-eslint/no-misused-promises": "error",
+ "arrow-body-style": 0,
+ camelcase: 0,
+ "class-methods-use-this": 0,
+ "import/extensions": [2, "ignorePackages"],
+ "import/no-extraneous-dependencies": [
+ "error",
+ { devDependencies: ["**/*.test.ts"] },
+ ],
+ "import/no-unresolved": 0,
+ "import/prefer-default-export": 0,
+ "keyword-spacing": "error",
+ "max-classes-per-file": 0,
+ "max-len": 0,
+ "no-await-in-loop": 0,
+ "no-bitwise": 0,
+ "no-console": 0,
+ "no-restricted-syntax": 0,
+ "no-shadow": 0,
+ "no-continue": 0,
+ "no-void": 0,
+ "no-underscore-dangle": 0,
+ "no-use-before-define": 0,
+ "no-useless-constructor": 0,
+ "no-return-await": 0,
+ "consistent-return": 0,
+ "no-else-return": 0,
+ "func-names": 0,
+ "no-lonely-if": 0,
+ "prefer-rest-params": 0,
+ "new-cap": ["error", { properties: false, capIsNew: false }],
+ },
+ overrides: [
+ {
+ files: ['**/*.test.ts'],
+ rules: {
+ '@typescript-eslint/no-unused-vars': 'off'
+ }
+ }
+ ]
+};
diff --git a/libs/langchain-baidu-qianfan/.gitignore b/libs/langchain-baidu-qianfan/.gitignore
new file mode 100644
index 000000000000..c10034e2f1be
--- /dev/null
+++ b/libs/langchain-baidu-qianfan/.gitignore
@@ -0,0 +1,7 @@
+index.cjs
+index.js
+index.d.ts
+index.d.cts
+node_modules
+dist
+.yarn
diff --git a/libs/langchain-baidu-qianfan/.prettierrc b/libs/langchain-baidu-qianfan/.prettierrc
new file mode 100644
index 000000000000..ba08ff04f677
--- /dev/null
+++ b/libs/langchain-baidu-qianfan/.prettierrc
@@ -0,0 +1,19 @@
+{
+ "$schema": "https://json.schemastore.org/prettierrc",
+ "printWidth": 80,
+ "tabWidth": 2,
+ "useTabs": false,
+ "semi": true,
+ "singleQuote": false,
+ "quoteProps": "as-needed",
+ "jsxSingleQuote": false,
+ "trailingComma": "es5",
+ "bracketSpacing": true,
+ "arrowParens": "always",
+ "requirePragma": false,
+ "insertPragma": false,
+ "proseWrap": "preserve",
+ "htmlWhitespaceSensitivity": "css",
+ "vueIndentScriptAndStyle": false,
+ "endOfLine": "lf"
+}
diff --git a/libs/langchain-baidu-qianfan/.release-it.json b/libs/langchain-baidu-qianfan/.release-it.json
new file mode 100644
index 000000000000..06850ca85be1
--- /dev/null
+++ b/libs/langchain-baidu-qianfan/.release-it.json
@@ -0,0 +1,12 @@
+{
+ "github": {
+ "release": true,
+ "autoGenerate": true,
+ "tokenRef": "GITHUB_TOKEN_RELEASE"
+ },
+ "npm": {
+ "versionArgs": [
+ "--workspaces-update=false"
+ ]
+ }
+}
diff --git a/libs/langchain-baidu-qianfan/LICENSE b/libs/langchain-baidu-qianfan/LICENSE
new file mode 100644
index 000000000000..8cd8f501eb49
--- /dev/null
+++ b/libs/langchain-baidu-qianfan/LICENSE
@@ -0,0 +1,21 @@
+The MIT License
+
+Copyright (c) 2023 LangChain
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
\ No newline at end of file
diff --git a/libs/langchain-baidu-qianfan/README.md b/libs/langchain-baidu-qianfan/README.md
new file mode 100644
index 000000000000..681c1d9fbdc0
--- /dev/null
+++ b/libs/langchain-baidu-qianfan/README.md
@@ -0,0 +1,42 @@
+# @langchain/baidu-qianfan
+
+This package contains the LangChain.js integrations for Baidu Qianfan via the qianfan/sdk package.
+
+
+## Installation
+
+```bash npm2yarn
+npm install @langchain/baidu-qianfan
+```
+
+## Chat models
+
+This package adds support for Qianfan chat model inference.
+
+Set the necessary environment variable (or pass it in via the constructor):
+
+```bash
+export QIANFAN_AK=""
+export QIANFAN_SK=""
+export QIANFAN_ACCESS_KEY=""
+export QIANFAN_SECRET_KEY=""
+```
+
+```typescript
+import { ChatBaiduQianfan } from "@langchain/baidu-qianfan";
+import { HumanMessage } from "@langchain/core/messages";
+
+const chat = new ChatBaiduQianfan({
+ model: 'ERNIE-Bot-turbo'
+});
+const message = new HumanMessage("北京天气");
+
+const res = await chat.invoke([message]);
+```
+
+```typescript
+import { BaiduQianfanEmbeddings } from "@langchain/baidu-qianfan";
+
+const embeddings = new BaiduQianfanEmbeddings();
+const res = await embeddings.embedQuery("Introduce the city Beijing");
+```
diff --git a/libs/langchain-baidu-qianfan/example.env b/libs/langchain-baidu-qianfan/example.env
new file mode 100644
index 000000000000..22c17f8aa34f
--- /dev/null
+++ b/libs/langchain-baidu-qianfan/example.env
@@ -0,0 +1,14 @@
+# 鉴权相关
+## AK 与 SK 分别对应于千帆平台上 **应用** 的 API Key 与 Secret Key
+## 主要用于模型相关 API 鉴权
+## 获取位置：https://console.bce.baidu.com/qianfan/ais/console/applicationConsole/application
+# QIANFAN_AK=""
+# QIANFAN_SK=""
+
+## Access Key 与 Secret Key 对应于 [百度智能云控制台-安全认证]
+## 中的 Access Key 与 Secret Key
+## 获取位置：https://console.bce.baidu.com/iam/#/iam/accesslist
+## 主要用于非模型相关的、管控类的 API 鉴权
+## 注意与 AK 与 SK 的使用范围进行区分，详细参见文档
+# QIANFAN_ACCESS_KEY=""
+# QIANFAN_SECRET_KEY=""
\ No newline at end of file
diff --git a/libs/langchain-baidu-qianfan/jest.config.cjs b/libs/langchain-baidu-qianfan/jest.config.cjs
new file mode 100644
index 000000000000..a06cb3338861
--- /dev/null
+++ b/libs/langchain-baidu-qianfan/jest.config.cjs
@@ -0,0 +1,20 @@
+/** @type {import('ts-jest').JestConfigWithTsJest} */
+module.exports = {
+ preset: "ts-jest/presets/default-esm",
+ testEnvironment: "./jest.env.cjs",
+ modulePathIgnorePatterns: ["dist/", "docs/"],
+ moduleNameMapper: {
+ "^(\\.{1,2}/.*)\\.js$": "$1",
+ },
+ transform: {
+ "^.+\\.tsx?$": ["@swc/jest"],
+ },
+ transformIgnorePatterns: [
+ "/node_modules/",
+ "\\.pnp\\.[^\\/]+$",
+ "./scripts/jest-setup-after-env.js",
+ ],
+ setupFiles: ["dotenv/config"],
+ testTimeout: 20_000,
+ passWithNoTests: true,
+};
diff --git a/libs/langchain-baidu-qianfan/jest.env.cjs b/libs/langchain-baidu-qianfan/jest.env.cjs
new file mode 100644
index 000000000000..2ccedccb8672
--- /dev/null
+++ b/libs/langchain-baidu-qianfan/jest.env.cjs
@@ -0,0 +1,12 @@
+const { TestEnvironment } = require("jest-environment-node");
+
+class AdjustedTestEnvironmentToSupportFloat32Array extends TestEnvironment {
+ constructor(config, context) {
+ // Make `instanceof Float32Array` return true in tests
+ // to avoid https://github.com/xenova/transformers.js/issues/57 and https://github.com/jestjs/jest/issues/2549
+ super(config, context);
+ this.global.Float32Array = Float32Array;
+ }
+}
+
+module.exports = AdjustedTestEnvironmentToSupportFloat32Array;
diff --git a/libs/langchain-baidu-qianfan/langchain.config.js b/libs/langchain-baidu-qianfan/langchain.config.js
new file mode 100644
index 000000000000..19512b23d29b
--- /dev/null
+++ b/libs/langchain-baidu-qianfan/langchain.config.js
@@ -0,0 +1,21 @@
+import { resolve, dirname } from "node:path";
+import { fileURLToPath } from "node:url";
+
+/**
+ * @param {string} relativePath
+ * @returns {string}
+ */
+function abs(relativePath) {
+ return resolve(dirname(fileURLToPath(import.meta.url)), relativePath);
+}
+
+export const config = {
+ internals: [/node\:/, /@langchain\/core\//],
+ entrypoints: {
+ index: "index",
+ },
+ tsConfigPath: resolve("./tsconfig.json"),
+ cjsSource: "./dist-cjs",
+ cjsDestination: "./dist",
+ abs,
+}
\ No newline at end of file
diff --git a/libs/langchain-baidu-qianfan/package.json b/libs/langchain-baidu-qianfan/package.json
new file mode 100644
index 000000000000..6b3bf46efc28
--- /dev/null
+++ b/libs/langchain-baidu-qianfan/package.json
@@ -0,0 +1,89 @@
+{
+ "name": "@langchain/baidu-qianfan",
+ "version": "0.0.1",
+ "description": "Baidu Qianfan integration for LangChain.js",
+ "type": "module",
+ "engines": {
+ "node": ">=18"
+ },
+ "main": "./index.js",
+ "types": "./index.d.ts",
+ "repository": {
+ "type": "git",
+ "url": "git@github.com:langchain-ai/langchainjs.git"
+ },
+ "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-baidu-qianfan/",
+ "scripts": {
+ "build": "yarn turbo:command build:internal --filter=@langchain/baidu-qianfan",
+ "build:internal": "yarn lc-build:v2 --create-entrypoints --pre --tree-shaking",
+ "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
+ "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
+ "lint": "yarn lint:eslint && yarn lint:dpdm",
+ "lint:fix": "yarn lint:eslint --fix && yarn lint:dpdm",
+ "clean": "rm -rf .turbo dist/",
+ "prepack": "yarn build",
+ "test": "NODE_OPTIONS=--experimental-vm-modules jest --testPathIgnorePatterns=\\.int\\.test.ts --testTimeout 30000 --maxWorkers=50%",
+ "test:int": "NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.int\\.test.ts --testTimeout 100000 --maxWorkers=50%",
+ "test:embeddings": "NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.embeddings\\.test.ts --testTimeout 100000 --maxWorkers=50%",
+ "format": "prettier --config .prettierrc --write \"src\"",
+ "format:check": "prettier --config .prettierrc --check \"src\""
+ },
+ "author": "LangChain",
+ "license": "MIT",
+ "dependencies": {
+ "@baiducloud/qianfan": "0.1.0",
+ "@langchain/core": ">0.1.56 <0.3.0",
+ "@langchain/openai": "~0.1.0",
+ "zod": "^3.22.4",
+ "zod-to-json-schema": "^3.22.5"
+ },
+ "devDependencies": {
+ "@jest/globals": "^29.5.0",
+ "@langchain/openai": "~0.1.0",
+ "@langchain/scripts": "~0.0.14",
+ "@swc/core": "^1.3.90",
+ "@swc/jest": "^0.2.29",
+ "@tsconfig/recommended": "^1.0.3",
+ "@types/uuid": "^9",
+ "@typescript-eslint/eslint-plugin": "^6.12.0",
+ "@typescript-eslint/parser": "^6.12.0",
+ "dotenv": "^16.3.1",
+ "dpdm": "^3.12.0",
+ "eslint": "^8.33.0",
+ "eslint-config-airbnb-base": "^15.0.0",
+ "eslint-config-prettier": "^8.6.0",
+ "eslint-plugin-import": "^2.27.5",
+ "eslint-plugin-no-instanceof": "^1.0.1",
+ "eslint-plugin-prettier": "^4.2.1",
+ "jest": "^29.5.0",
+ "jest-environment-node": "^29.6.4",
+ "langchain": "0.2.5",
+ "prettier": "^2.8.3",
+ "release-it": "^15.10.1",
+ "rollup": "^4.5.2",
+ "ts-jest": "^29.1.0",
+ "typescript": "<5.2.0"
+ },
+ "publishConfig": {
+ "access": "public"
+ },
+ "exports": {
+ ".": {
+ "types": {
+ "import": "./index.d.ts",
+ "require": "./index.d.cts",
+ "default": "./index.d.ts"
+ },
+ "import": "./index.js",
+ "require": "./index.cjs"
+ },
+ "./package.json": "./package.json"
+ },
+ "files": [
+ "dist/",
+ "index.cjs",
+ "index.js",
+ "index.d.ts",
+ "index.d.cts"
+ ]
+}
diff --git a/libs/langchain-baidu-qianfan/scripts/jest-setup-after-env.js b/libs/langchain-baidu-qianfan/scripts/jest-setup-after-env.js
new file mode 100644
index 000000000000..778cf7437a20
--- /dev/null
+++ b/libs/langchain-baidu-qianfan/scripts/jest-setup-after-env.js
@@ -0,0 +1,3 @@
+import { awaitAllCallbacks } from "@langchain/core/callbacks/promises";
+
+afterAll(awaitAllCallbacks);
diff --git a/libs/langchain-baidu-qianfan/src/chat_models.ts b/libs/langchain-baidu-qianfan/src/chat_models.ts
new file mode 100644
index 000000000000..022535ed28e9
--- /dev/null
+++ b/libs/langchain-baidu-qianfan/src/chat_models.ts
@@ -0,0 +1,526 @@
+import {
+ BaseChatModel,
+ type BaseChatModelParams,
+} from "@langchain/core/language_models/chat_models";
+import {
+ AIMessage,
+ AIMessageChunk,
+ BaseMessage,
+ ChatMessage,
+} from "@langchain/core/messages";
+import {
+ ChatGeneration,
+ ChatGenerationChunk,
+ ChatResult,
+} from "@langchain/core/outputs";
+import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
+import { getEnvironmentVariable } from "@langchain/core/utils/env";
+import { convertEventStreamToIterableReadableDataStream } from "@langchain/core/utils/event_source_parse";
+import { ChatCompletion } from "@baiducloud/qianfan";
+
+import { isValidModel } from "./utils.js";
+
+/**
+ * Type representing the role of a message in the Qianfan chat model.
+ */
+export type QianfanRole = "assistant" | "user";
+
+/**
+ * Interface representing a message in the Qianfan chat model.
+ */
+interface Qianfan {
+ role: QianfanRole;
+ content: string;
+}
+
+/**
+ * Interface representing the usage of tokens in a chat completion.
+ */
+interface TokenUsage {
+ completionTokens?: number;
+ promptTokens?: number;
+ totalTokens?: number;
+}
+
+/**
+ * Interface representing a request for a chat completion.
+ */
+interface ChatCompletionRequest {
+ messages: Qianfan[];
+ stream?: boolean;
+ user_id?: string;
+ temperature?: number;
+ top_p?: number;
+ penalty_score?: number;
+ system?: string;
+}
+
+/**
+ * Interface representing a response from a chat completion.
+ */
+interface ChatCompletionResponse {
+ id: string;
+ object: string;
+ created: number;
+ result: string;
+ need_clear_history: boolean;
+ usage: TokenUsage;
+}
+
+/**
+ * Interface defining the input to the ChatBaiduQianfan class.
+ */
+declare interface BaiduQianfanChatInput {
+ /**
+ * Model name to use. Available options are: ERNIE-Bot, ERNIE-Bot-turbo, ERNIE-Bot-4
+ * Alias for `model`
+ * @default "ERNIE-Bot-turbo"
+ */
+ modelName: string;
+ /** Model name to use. Available options are: ERNIE-Bot, ERNIE-Bot-turbo, ERNIE-Bot-4
+ * @default "ERNIE-Bot-turbo"
+ */
+ model: string;
+
+ /** Whether to stream the results or not. Defaults to false. */
+ streaming?: boolean;
+
+ /** Messages to pass as a prefix to the prompt */
+ prefixMessages?: Qianfan[];
+
+ /**
+ * ID of the end-user who made requests.
+ */
+ userId?: string;
+
+ /**
+ * Access key to use when making requests by Qianfan SDK. Defaults to the value of
+ * `QIANFAN_KEY` environment variable.
+ */
+ qianfanAK?: string;
+
+ /**
+ * Secret key to use when making requests by Qianfan SDK. Defaults to the value of
+ * `QIANFAN_KEY` environment variable.
+ */
+ qianfanSK?: string;
+
+ /**
+ * Access key to use when making requests by Qianfan SDK with auth. Defaults to the value of
+ * `QIANFAN_ACCESS_KEY` environment variable.
+ */
+ qianfanAccessKey?: string;
+
+ /**
+ * Secret key to use when making requests by Qianfan SDK with auth. Defaults to the value of
+ * `QIANFAN_SECRET_KEY` environment variable.
+ */
+ qianfanSecretKey?: string;
+
+ /** Amount of randomness injected into the response. Ranges
+ * from 0 to 1 (0 is not included). Use temp closer to 0 for analytical /
+ * multiple choice, and temp closer to 1 for creative
+ * and generative tasks. Defaults to 0.95.
+ */
+ temperature?: number;
+
+ /** Total probability mass of tokens to consider at each step. Range
+ * from 0 to 1.0. Defaults to 0.8.
+ */
+ topP?: number;
+
+ /** Penalizes repeated tokens according to frequency. Range
+ * from 1.0 to 2.0. Defaults to 1.0.
+ */
+ penaltyScore?: number;
+}
+
+/**
+ * Function that extracts the custom role of a generic chat message.
+ * @param message Chat message from which to extract the custom role.
+ * @returns The custom role of the chat message.
+ */
+function extractGenericMessageCustomRole(message: ChatMessage) {
+ if (message.role !== "assistant" && message.role !== "user") {
+ console.warn(`Unknown message role: ${message.role}`);
+ }
+
+ return message.role as QianfanRole;
+}
+
+/**
+ * Function that converts a base message to a Qianfan message role.
+ * @param message Base message to convert.
+ * @returns The Qianfan message role.
+ */
+function messageToQianfanRole(message: BaseMessage): QianfanRole {
+ const type = message._getType();
+ switch (type) {
+ case "ai":
+ return "assistant";
+ case "human":
+ return "user";
+ case "system":
+ throw new Error("System messages should not be here");
+ case "function":
+ throw new Error("Function messages not supported");
+ case "generic": {
+ if (!ChatMessage.isInstance(message))
+ throw new Error("Invalid generic chat message");
+ return extractGenericMessageCustomRole(message);
+ }
+ default:
+ throw new Error(`Unknown message type: ${type}`);
+ }
+}
+
+/**
+ * Wrapper around Baidu ERNIE large language models that use the Chat endpoint.
+ *
+ * To use you should have the `QIANFAN_AK` and `QIANFAN_SK`
+ * environment variable set.
+ *
+ * @augments BaseLLM
+ * @augments BaiduERNIEInput
+ * ```
+ */
+export class ChatBaiduQianfan
+ extends BaseChatModel
+ implements BaiduQianfanChatInput
+{
+ static lc_name() {
+ return "ChatBaiduQianfan";
+ }
+
+ get callKeys(): string[] {
+ return ["stop", "signal", "options"];
+ }
+
+ get lc_secrets(): { [key: string]: string } | undefined {
+ return {
+ qianfanAK: "QIANFAN_AK",
+ qianfanSK: "QIANFAN_SK",
+ qianfanAccessKey: "QIANFAN_ACCESS_KEY",
+ qianfanSecretKey: "QIANFAN_SECRET_KEY",
+ };
+ }
+
+ get lc_aliases(): { [key: string]: string } | undefined {
+ return undefined;
+ }
+
+ lc_serializable = true;
+
+ streaming = false;
+
+ prefixMessages?: Qianfan[];
+
+ userId?: string;
+
+ modelName = "ERNIE-Bot-turbo";
+
+ model = "ERNIE-Bot-turbo";
+
+ temperature?: number | undefined;
+
+ topP?: number | undefined;
+
+ penaltyScore?: number | undefined;
+
+ // eslint-disable-next-line @typescript-eslint/no-explicit-any
+ client?: any;
+
+ qianfanAK?: string;
+
+ qianfanSK?: string;
+
+ qianfanAccessKey?: string;
+
+ qianfanSecretKey?: string;
+
+ constructor(fields?: Partial & BaseChatModelParams) {
+ super(fields ?? {});
+
+ this.modelName = fields?.model ?? fields?.modelName ?? this.model;
+ this.model = this.modelName;
+
+ if (!isValidModel(this.model)) {
+ throw new Error(`Invalid model name: ${this.model}`);
+ }
+
+ this.qianfanAK = fields?.qianfanAK ?? getEnvironmentVariable("QIANFAN_AK");
+
+ this.qianfanSK = fields?.qianfanSK ?? getEnvironmentVariable("QIANFAN_SK");
+
+ this.qianfanAccessKey =
+ fields?.qianfanAccessKey ?? getEnvironmentVariable("QIANFAN_ACCESS_KEY");
+
+ this.qianfanSecretKey =
+ fields?.qianfanSecretKey ?? getEnvironmentVariable("QIANFAN_SECRET_KEY");
+
+ // 优先使用安全认证AK/SK鉴权
+ if (this.qianfanAccessKey && this.qianfanSecretKey) {
+ this.client = new ChatCompletion({
+ QIANFAN_ACCESS_KEY: this.qianfanAccessKey,
+ QIANFAN_SECRET_KEY: this.qianfanSecretKey,
+ });
+ } else if (this.qianfanAK && this.qianfanSK) {
+ this.client = new ChatCompletion({
+ QIANFAN_AK: this.qianfanAK,
+ QIANFAN_SK: this.qianfanSK,
+ });
+ } else {
+ throw new Error("Please provide AK/SK");
+ }
+
+ this.streaming = fields?.streaming ?? this.streaming;
+ this.prefixMessages = fields?.prefixMessages ?? this.prefixMessages;
+ this.userId = fields?.userId ?? this.userId;
+ this.temperature = fields?.temperature ?? this.temperature;
+ this.topP = fields?.topP ?? this.topP;
+ this.penaltyScore = fields?.penaltyScore ?? this.penaltyScore;
+ }
+
+ /**
+ * Get the parameters used to invoke the model
+ */
+ invocationParams(): Omit {
+ return {
+ stream: this.streaming,
+ user_id: this.userId,
+ temperature: this.temperature,
+ top_p: this.topP,
+ penalty_score: this.penaltyScore,
+ };
+ }
+
+ /**
+ * Get the identifying parameters for the model
+ */
+ identifyingParams() {
+ return {
+ model_name: this.model,
+ ...this.invocationParams(),
+ };
+ }
+
+ private _ensureMessages(messages: BaseMessage[]): Qianfan[] {
+ return messages.map((message) => ({
+ role: messageToQianfanRole(message),
+ content: message.text,
+ }));
+ }
+
+ /** @ignore */
+ async _generate(
+ messages: BaseMessage[],
+ _options?: this["ParsedCallOptions"],
+ runManager?: CallbackManagerForLLMRun
+ ): Promise {
+ const tokenUsage: TokenUsage = {};
+
+ const params = this.invocationParams();
+
+ // Qianfan requires the system message to be put in the params, not messages array
+ const systemMessage = messages.find(
+ (message) => message._getType() === "system"
+ );
+ if (systemMessage) {
+ // eslint-disable-next-line no-param-reassign
+ messages = messages.filter((message) => message !== systemMessage);
+ params.system = systemMessage.text;
+ }
+ const messagesMapped = this._ensureMessages(messages);
+
+ const data = params.stream
+ ? await new Promise((resolve, reject) => {
+ let rejected = false;
+ this.completionWithRetry(
+ {
+ ...params,
+ messages: messagesMapped,
+ },
+ true,
+ (event) => {
+ resolve(event.data);
+ // eslint-disable-next-line no-void
+ void runManager?.handleLLMNewToken(event.data ?? "");
+ }
+ ).catch((error) => {
+ if (!rejected) {
+ rejected = true;
+ reject(error);
+ }
+ });
+ })
+ : await this.completionWithRetry(
+ {
+ ...params,
+ messages: messagesMapped,
+ },
+ false
+ ).then((data) => {
+ if (data?.error_code) {
+ throw new Error(data?.error_msg);
+ }
+ return data;
+ });
+
+ const {
+ completion_tokens: completionTokens,
+ prompt_tokens: promptTokens,
+ total_tokens: totalTokens,
+ } = data.usage ?? {};
+
+ if (completionTokens) {
+ tokenUsage.completionTokens =
+ (tokenUsage.completionTokens ?? 0) + completionTokens;
+ }
+
+ if (promptTokens) {
+ tokenUsage.promptTokens = (tokenUsage.promptTokens ?? 0) + promptTokens;
+ }
+
+ if (totalTokens) {
+ tokenUsage.totalTokens = (tokenUsage.totalTokens ?? 0) + totalTokens;
+ }
+
+ const generations: ChatGeneration[] = [];
+ const text = data.result ?? "";
+ generations.push({
+ text,
+ message: new AIMessage(text),
+ });
+ return {
+ generations,
+ llmOutput: { tokenUsage },
+ };
+ }
+
+ /** @ignore */
+ async completionWithRetry(
+ request: ChatCompletionRequest,
+ stream: boolean,
+ onmessage?: (event: MessageEvent) => void
+ ) {
+ const makeCompletionRequest = async () => {
+ console.log(request);
+ const response = await this.client.chat(
+ {
+ messages: request.messages,
+ stream,
+ },
+ this.model
+ );
+
+ if (!stream) {
+ return response;
+ } else {
+ let streamResponse = {} as {
+ id: string;
+ object: string;
+ created: number;
+ sentence_id?: number;
+ result: string;
+ need_clear_history: boolean;
+ usage: TokenUsage;
+ };
+ // eslint-disable-next-line @typescript-eslint/no-explicit-any
+ for await (const message of response as AsyncIterableIterator) {
+ // 返回结果
+ if (!streamResponse) {
+ streamResponse = {
+ id: message.id,
+ object: message.object,
+ created: message.created,
+ result: message.result,
+ need_clear_history: message.need_clear_history,
+ usage: message.usage,
+ };
+ } else {
+ streamResponse.result += message.result;
+ streamResponse.created = message.created;
+ streamResponse.need_clear_history = message.need_clear_history;
+ streamResponse.usage = message.usage;
+ }
+ }
+ const event = new MessageEvent("message", {
+ data: streamResponse,
+ });
+ onmessage?.(event);
+ }
+ };
+
+ return this.caller.call(makeCompletionRequest);
+ }
+
+ private async createStream(request: ChatCompletionRequest) {
+ const response = await this.client.chat(
+ {
+ messages: request.messages,
+ stream: true,
+ },
+ this.model
+ );
+
+ return convertEventStreamToIterableReadableDataStream(response);
+ }
+
+ private _deserialize(json: string) {
+ try {
+ return JSON.parse(json);
+ } catch (e) {
+ console.warn(`Received a non-JSON parseable chunk: ${json}`);
+ }
+ }
+
+ async *_streamResponseChunks(
+ messages: BaseMessage[],
+ _options?: this["ParsedCallOptions"],
+ runManager?: CallbackManagerForLLMRun
+ ): AsyncGenerator {
+ const parameters = {
+ ...this.invocationParams(),
+ stream: true,
+ };
+
+ // Qianfan requires the system message to be put in the params, not messages array
+ const systemMessage = messages.find(
+ (message) => message._getType() === "system"
+ );
+ if (systemMessage) {
+ // eslint-disable-next-line no-param-reassign
+ messages = messages.filter((message) => message !== systemMessage);
+ parameters.system = systemMessage.text;
+ }
+ const messagesMapped = this._ensureMessages(messages);
+
+ const stream = await this.caller.call(async () =>
+ this.createStream({
+ ...parameters,
+ messages: messagesMapped,
+ })
+ );
+
+ for await (const chunk of stream) {
+ const deserializedChunk = this._deserialize(chunk);
+ const { result, is_end, id } = deserializedChunk;
+ yield new ChatGenerationChunk({
+ text: result,
+ message: new AIMessageChunk({ content: result }),
+ generationInfo: is_end
+ ? {
+ is_end,
+ request_id: id,
+ usage: chunk.usage,
+ }
+ : undefined,
+ });
+ await runManager?.handleLLMNewToken(result);
+ }
+ }
+
+ _llmType() {
+ return "baiduqianfan";
+ }
+}
diff --git a/libs/langchain-baidu-qianfan/src/embeddings.ts b/libs/langchain-baidu-qianfan/src/embeddings.ts
new file mode 100644
index 000000000000..fa87c1472cb6
--- /dev/null
+++ b/libs/langchain-baidu-qianfan/src/embeddings.ts
@@ -0,0 +1,216 @@
+import { Embeddings, type EmbeddingsParams } from "@langchain/core/embeddings";
+import { chunkArray } from "@langchain/core/utils/chunk_array";
+import { getEnvironmentVariable } from "@langchain/core/utils/env";
+import { Embedding } from "@baiducloud/qianfan";
+
+export interface BaiduQianfanEmbeddingsParams extends EmbeddingsParams {
+ /** Model name to use */
+ modelName: "Embedding-V1" | "bge-large-zh" | "bge-large-en" | "tao-8k";
+
+ /**
+ * Timeout to use when making requests to BaiduQianfan.
+ */
+ timeout?: number;
+
+ /**
+ * The maximum number of characters allowed for embedding in a single request varies by model:
+ * - Embedding-V1 model: up to 1000 characters
+ * - bge-large-zh model: up to 2000 characters
+ * - bge-large-en model: up to 2000 characters
+ * - tao-8k model: up to 28000 characters
+ *
+ * Note: These limits are model-specific and should be adhered to for optimal performance.
+ */
+ batchSize?: number;
+
+ /**
+ * Whether to strip new lines from the input text.
+ */
+ stripNewLines?: boolean;
+}
+
+interface EmbeddingCreateParams {
+ input: string[];
+}
+
+interface EmbeddingResponse {
+ data: { object: "embedding"; index: number; embedding: number[] }[];
+
+ usage: {
+ prompt_tokens: number;
+ total_tokens: number;
+ };
+
+ id: string;
+}
+
+interface EmbeddingErrorResponse {
+ error_code: number | string;
+ error_msg: string;
+}
+
+export class BaiduQianfanEmbeddings
+ extends Embeddings
+ implements BaiduQianfanEmbeddingsParams
+{
+ modelName: BaiduQianfanEmbeddingsParams["modelName"] = "Embedding-V1";
+
+ batchSize = 16;
+
+ stripNewLines = true;
+
+ qianfanAK: string | undefined;
+
+ qianfanSK: string | undefined;
+
+ qianfanAccessKey: string | undefined;
+
+ qianfanSecretKey: string | undefined;
+
+ accessToken: string;
+
+ // eslint-disable-next-line @typescript-eslint/no-explicit-any
+ embeddings: any;
+
+ constructor(
+ fields?: Partial & {
+ verbose?: boolean;
+ qianfanAK?: string;
+ qianfanSK?: string;
+ qianfanAccessKey?: string;
+ qianfanSecretKey?: string;
+ }
+ ) {
+ const fieldsWithDefaults = { maxConcurrency: 2, ...fields };
+ super(fieldsWithDefaults);
+
+ this.qianfanAK =
+ fieldsWithDefaults?.qianfanAK ?? getEnvironmentVariable("QIANFAN_AK");
+
+ this.qianfanSK =
+ fieldsWithDefaults?.qianfanSK ?? getEnvironmentVariable("QIANFAN_SK");
+
+ this.qianfanAccessKey =
+ fieldsWithDefaults?.qianfanAccessKey ??
+ getEnvironmentVariable("QIANFAN_ACCESS_KEY");
+
+ this.qianfanSecretKey =
+ fieldsWithDefaults?.qianfanSecretKey ??
+ getEnvironmentVariable("QIANFAN_SECRET_KEY");
+
+ // 优先使用安全认证AK/SK鉴权
+ if (this.qianfanAccessKey && this.qianfanSecretKey) {
+ this.embeddings = new Embedding({
+ QIANFAN_ACCESS_KEY: this.qianfanAccessKey,
+ QIANFAN_SECRET_KEY: this.qianfanSecretKey,
+ });
+ } else if (this.qianfanAK && this.qianfanSK) {
+ this.embeddings = new Embedding({
+ QIANFAN_AK: this.qianfanAK,
+ QIANFAN_SK: this.qianfanSK,
+ });
+ } else {
+ throw new Error("Please provide AK/SK");
+ }
+
+ this.modelName = fieldsWithDefaults?.modelName ?? this.modelName;
+
+ if (this.modelName === "tao-8k") {
+ if (fieldsWithDefaults?.batchSize && fieldsWithDefaults.batchSize !== 1) {
+ throw new Error(
+ "tao-8k model supports only a batchSize of 1. Please adjust your batchSize accordingly"
+ );
+ }
+ this.batchSize = 1;
+ } else {
+ this.batchSize = fieldsWithDefaults?.batchSize ?? this.batchSize;
+ }
+
+ this.stripNewLines =
+ fieldsWithDefaults?.stripNewLines ?? this.stripNewLines;
+ }
+
+ /**
+ * Method to generate embeddings for an array of documents. Splits the
+ * documents into batches and makes requests to the BaiduQianFan API to generate
+ * embeddings.
+ * @param texts Array of documents to generate embeddings for.
+ * @returns Promise that resolves to a 2D array of embeddings for each document.
+ */
+ async embedDocuments(texts: string[]): Promise {
+ const batches = chunkArray(
+ this.stripNewLines ? texts.map((t) => t.replace(/\n/g, " ")) : texts,
+ this.batchSize
+ );
+
+ const batchRequests = batches.map((batch) => {
+ const params = this.getParams(batch);
+
+ return this.embeddingWithRetry(params);
+ });
+
+ const batchResponses = await Promise.all(batchRequests);
+
+ const embeddings: number[][] = [];
+
+ for (let i = 0; i < batchResponses.length; i += 1) {
+ const batch = batches[i];
+ const batchResponse = batchResponses[i] || [];
+ for (let j = 0; j < batch.length; j += 1) {
+ embeddings.push(batchResponse[j]);
+ }
+ }
+
+ return embeddings;
+ }
+
+ /**
+ * Method to generate an embedding for a single document. Calls the
+ * embeddingWithRetry method with the document as the input.
+ * @param text Document to generate an embedding for.
+ * @returns Promise that resolves to an embedding for the document.
+ */
+ async embedQuery(text: string): Promise {
+ const params = this.getParams([
+ this.stripNewLines ? text.replace(/\n/g, " ") : text,
+ ]);
+
+ const embeddings = (await this.embeddingWithRetry(params)) || [[]];
+ return embeddings[0];
+ }
+
+ /**
+ * Method to generate an embedding params.
+ * @param texts Array of documents to generate embeddings for.
+ * @returns an embedding params.
+ */
+ private getParams(
+ texts: EmbeddingCreateParams["input"]
+ ): EmbeddingCreateParams {
+ return {
+ input: texts,
+ };
+ }
+
+ /**
+ * Private method to make a request to the BaiduAI API to generate
+ * embeddings. Handles the retry logic and returns the response from the
+ * API.
+ * @param request Request to send to the BaiduAI API.
+ * @returns Promise that resolves to the response from the API.
+ */
+ private async embeddingWithRetry(body: EmbeddingCreateParams) {
+ const embeddingData: EmbeddingResponse | EmbeddingErrorResponse =
+ await this.embeddings.embedding(body, this.modelName);
+
+ if ("error_code" in embeddingData && embeddingData.error_code) {
+ throw new Error(
+ `${embeddingData.error_code}: ${embeddingData.error_msg}`
+ );
+ }
+
+ return (embeddingData as EmbeddingResponse).data.map(
+ ({ embedding }) => embedding
+ );
+ }
+}
diff --git a/libs/langchain-baidu-qianfan/src/index.ts b/libs/langchain-baidu-qianfan/src/index.ts
new file mode 100644
index 000000000000..e080d1245956
--- /dev/null
+++ b/libs/langchain-baidu-qianfan/src/index.ts
@@ -0,0 +1,2 @@
+export * from "./chat_models.js";
+export * from "./embeddings.js";
diff --git a/libs/langchain-baidu-qianfan/src/tests/chat_models.int.test.ts b/libs/langchain-baidu-qianfan/src/tests/chat_models.int.test.ts
new file mode 100644
index 000000000000..863e1a33afb3
--- /dev/null
+++ b/libs/langchain-baidu-qianfan/src/tests/chat_models.int.test.ts
@@ -0,0 +1,25 @@
+import { test } from "@jest/globals";
+
+import { HumanMessage } from "@langchain/core/messages";
+import { ChatBaiduQianfan } from "../chat_models.js";
+
+test("invoke", async () => {
+ const chat = new ChatBaiduQianfan({
+ model: "ERNIE-Bot-turbo",
+ });
+ const message = new HumanMessage("北京天气");
+ const res = await chat.invoke([message]);
+ console.log({ res });
+ expect(res.content.length).toBeGreaterThan(10);
+});
+
+test("invokeWithStream", async () => {
+ const chat = new ChatBaiduQianfan({
+ model: "ERNIE-Bot-turbo",
+ streaming: true,
+ });
+ const message = new HumanMessage("等额本金和等额本息有什么区别？");
+ const res = await chat.invoke([message]);
+ console.log({ res });
+ expect(res.content.length).toBeGreaterThan(10);
+});
diff --git a/libs/langchain-baidu-qianfan/src/tests/embeddings.int.test.ts b/libs/langchain-baidu-qianfan/src/tests/embeddings.int.test.ts
new file mode 100644
index 000000000000..8ee42f508521
--- /dev/null
+++ b/libs/langchain-baidu-qianfan/src/tests/embeddings.int.test.ts
@@ -0,0 +1,16 @@
+import { test } from "@jest/globals";
+import { BaiduQianfanEmbeddings } from "../embeddings.js";
+
+test("embedQuery", async () => {
+ const embeddings = new BaiduQianfanEmbeddings();
+ const res = await embeddings.embedQuery("Introduce the city Beijing");
+ console.log({ res });
+ expect(res.length).toBeGreaterThan(10);
+});
+
+test("embedDocuments", async () => {
+ const embeddings = new BaiduQianfanEmbeddings();
+ const res = await embeddings.embedDocuments(["Hello world", "Bye bye"]);
+ console.log({ res });
+ expect(res.length).toBe(2);
+});
diff --git a/libs/langchain-baidu-qianfan/src/utils.ts b/libs/langchain-baidu-qianfan/src/utils.ts
new file mode 100644
index 000000000000..494ef12c75d7
--- /dev/null
+++ b/libs/langchain-baidu-qianfan/src/utils.ts
@@ -0,0 +1,73 @@
+/**
+ * 对话请求公共服务模型列表
+ */
+export type ChatModel =
+ | "ERNIE-4.0-8K"
+ | "ERNIE-3.5-8K"
+ | "ERNIE-3.5-8K-0205"
+ | "ERNIE-3.5-8K-1222"
+ | "ERNIE-3.5-4K-0205"
+ | "ERNIE-Speed-128K"
+ | "ERNIE-Lite-8K-0922"
+ | "ERNIE-Lite-8K-0308"
+ | "ERNIE Speed-AppBuilder"
+ | "Gemma-7B-it"
+ | "Mixtral-8x7B-Instruct"
+ | "ERNIE-Bot-turbo"
+ | "ERNIE-Bot"
+ | "ERNIE-Bot-4"
+ | "ERNIE-Bot-8k"
+ | "ERNIE-Speed"
+ | "EB-turbo-AppBuilder"
+ | "BLOOMZ-7B"
+ | "Llama-2-7b-chat"
+ | "Llama-2-13b-chat"
+ | "Llama-2-70b-chat"
+ | "Qianfan-BLOOMZ-7B-compressed"
+ | "Qianfan-Chinese-Llama-2-7B"
+ | "ChatGLM2-6B-32K"
+ | "AquilaChat-7B"
+ | "XuanYuan-70B-Chat-4bit"
+ | "Qianfan-Chinese-Llama-2-13B"
+ | "ChatLaw"
+ | "SQLCoder-7B"
+ | "CodeLlama-7b-Instruct"
+ | "Yi-34B-Chat";
+
+export const CHAT_MODEL = [
+ "ERNIE-4.0-8K",
+ "ERNIE-3.5-8K",
+ "ERNIE-3.5-8K-0205",
+ "ERNIE-3.5-8K-1222",
+ "ERNIE-3.5-4K-0205",
+ "ERNIE-Speed-128K",
+ "ERNIE-Lite-8K-0922",
+ "ERNIE-Lite-8K-0308",
+ "ERNIE Speed-AppBuilder",
+ "Gemma-7B-it",
+ "Mixtral-8x7B-Instruct",
+ "ERNIE-Bot-turbo",
+ "ERNIE-Bot",
+ "ERNIE-Bot-4",
+ "ERNIE-Bot-8k",
+ "ERNIE-Speed",
+ "EB-turbo-AppBuilder",
+ "BLOOMZ-7B",
+ "Llama-2-7b-chat",
+ "Llama-2-13b-chat",
+ "Llama-2-70b-chat",
+ "Qianfan-BLOOMZ-7B-compressed",
+ "Qianfan-Chinese-Llama-2-7B",
+ "ChatGLM2-6B-32K",
+ "AquilaChat-7B",
+ "XuanYuan-70B-Chat-4bit",
+ "Qianfan-Chinese-Llama-2-13B",
+ "ChatLaw",
+ "SQLCoder-7B",
+ "CodeLlama-7b-Instruct",
+ "Yi-34B-Chat",
+];
+
+export const isValidModel = (modelName: string): boolean => {
+ return CHAT_MODEL.includes(modelName);
+};
diff --git a/libs/langchain-baidu-qianfan/tsconfig.cjs.json b/libs/langchain-baidu-qianfan/tsconfig.cjs.json
new file mode 100644
index 000000000000..3b7026ea406c
--- /dev/null
+++ b/libs/langchain-baidu-qianfan/tsconfig.cjs.json
@@ -0,0 +1,8 @@
+{
+ "extends": "./tsconfig.json",
+ "compilerOptions": {
+ "module": "commonjs",
+ "declaration": false
+ },
+ "exclude": ["node_modules", "dist", "docs", "**/tests"]
+}
diff --git a/libs/langchain-baidu-qianfan/tsconfig.json b/libs/langchain-baidu-qianfan/tsconfig.json
new file mode 100644
index 000000000000..bc85d83b6229
--- /dev/null
+++ b/libs/langchain-baidu-qianfan/tsconfig.json
@@ -0,0 +1,23 @@
+{
+ "extends": "@tsconfig/recommended",
+ "compilerOptions": {
+ "outDir": "../dist",
+ "rootDir": "./src",
+ "target": "ES2021",
+ "lib": ["ES2021", "ES2022.Object", "DOM"],
+ "module": "ES2020",
+ "moduleResolution": "nodenext",
+ "esModuleInterop": true,
+ "declaration": true,
+ "noImplicitReturns": true,
+ "noFallthroughCasesInSwitch": true,
+ "noUnusedLocals": true,
+ "noUnusedParameters": true,
+ "useDefineForClassFields": true,
+ "strictPropertyInitialization": false,
+ "allowJs": true,
+ "strict": true
+ },
+ "include": ["src/**/*"],
+ "exclude": ["node_modules", "dist", "docs"]
+}
diff --git a/libs/langchain-baidu-qianfan/turbo.json b/libs/langchain-baidu-qianfan/turbo.json
new file mode 100644
index 000000000000..d024cee15c81
--- /dev/null
+++ b/libs/langchain-baidu-qianfan/turbo.json
@@ -0,0 +1,11 @@
+{
+ "extends": ["//"],
+ "pipeline": {
+ "build": {
+ "outputs": ["**/dist/**"]
+ },
+ "build:internal": {
+ "dependsOn": ["^build:internal"]
+ }
+ }
+}
diff --git a/libs/langchain-community/src/chat_models/baiduwenxin.ts b/libs/langchain-community/src/chat_models/baiduwenxin.ts
index 70924000401d..9cac9fe24c7f 100644
--- a/libs/langchain-community/src/chat_models/baiduwenxin.ts
+++ b/libs/langchain-community/src/chat_models/baiduwenxin.ts
@@ -173,6 +173,7 @@ function messageToWenxinRole(message: BaseMessage): WenxinMessageRole {
}
/**
+ * @deprecated Install and import from @langchain/baidu-qianfan instead.
* Wrapper around Baidu ERNIE large language models that use the Chat endpoint.
*
* To use you should have the `BAIDU_API_KEY` and `BAIDU_SECRET_KEY`
diff --git a/libs/langchain-community/src/embeddings/baidu_qianfan.ts b/libs/langchain-community/src/embeddings/baidu_qianfan.ts
index 1c5d74bd83a1..25a73b7d6805 100644
--- a/libs/langchain-community/src/embeddings/baidu_qianfan.ts
+++ b/libs/langchain-community/src/embeddings/baidu_qianfan.ts
@@ -2,6 +2,7 @@ import { Embeddings, type EmbeddingsParams } from "@langchain/core/embeddings";
import { chunkArray } from "@langchain/core/utils/chunk_array";
import { getEnvironmentVariable } from "@langchain/core/utils/env";
+/** @deprecated Install and import from @langchain/baidu-qianfan instead. */
export interface BaiduQianfanEmbeddingsParams extends EmbeddingsParams {
/** Model name to use */
modelName: "embedding-v1" | "bge_large_zh" | "bge-large-en" | "tao-8k";
diff --git a/yarn.lock b/yarn.lock
index 84fb05aa3d2a..b0165b0f3afb 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -5858,6 +5858,16 @@ __metadata:
languageName: node
linkType: hard
+"@babel/code-frame@npm:^7.24.7":
+ version: 7.24.7
+ resolution: "@babel/code-frame@npm:7.24.7"
+ dependencies:
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+ picocolors: ^1.0.0
+ checksum: 830e62cd38775fdf84d612544251ce773d544a8e63df667728cc9e0126eeef14c6ebda79be0f0bc307e8318316b7f58c27ce86702e0a1f5c321d842eb38ffda4
+ languageName: node
+ linkType: hard
+
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version: 7.21.0
resolution: "@babel/compat-data@npm:7.21.0"
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languageName: node
linkType: hard
+"@babel/generator@npm:^7.24.7":
+ version: 7.24.7
+ resolution: "@babel/generator@npm:7.24.7"
+ dependencies:
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+ "@jridgewell/gen-mapping": ^0.3.5
+ "@jridgewell/trace-mapping": ^0.3.25
+ jsesc: ^2.5.1
+ checksum: 0ff31a73b15429f1287e4d57b439bba4a266f8c673bb445fe313b82f6d110f586776997eb723a777cd7adad9d340edd162aea4973a90112c5d0cfcaf6686844b
+ languageName: node
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+
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version: 7.22.5
resolution: "@babel/helper-annotate-as-pure@npm:7.22.5"
@@ -5989,6 +6011,15 @@ __metadata:
languageName: node
linkType: hard
+"@babel/helper-annotate-as-pure@npm:^7.24.7":
+ version: 7.24.7
+ resolution: "@babel/helper-annotate-as-pure@npm:7.24.7"
+ dependencies:
+ "@babel/types": ^7.24.7
+ checksum: 6178566099a6a0657db7a7fa601a54fb4731ca0b8614fbdccfd8e523c210c13963649bc8fdfd53ce7dd14d05e3dda2fb22dea5b30113c488b9eb1a906d60212e
+ languageName: node
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+
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resolution: "@babel/helper-builder-binary-assignment-operator-visitor@npm:7.22.15"
@@ -6087,6 +6118,15 @@ __metadata:
languageName: node
linkType: hard
+"@babel/helper-environment-visitor@npm:^7.24.7":
+ version: 7.24.7
+ resolution: "@babel/helper-environment-visitor@npm:7.24.7"
+ dependencies:
+ "@babel/types": ^7.24.7
+ checksum: 079d86e65701b29ebc10baf6ed548d17c19b808a07aa6885cc141b690a78581b180ee92b580d755361dc3b16adf975b2d2058b8ce6c86675fcaf43cf22f2f7c6
+ languageName: node
+ linkType: hard
+
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resolution: "@babel/helper-function-name@npm:7.21.0"
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languageName: node
linkType: hard
+"@babel/helper-function-name@npm:^7.24.7":
+ version: 7.24.7
+ resolution: "@babel/helper-function-name@npm:7.24.7"
+ dependencies:
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+ "@babel/types": ^7.24.7
+ checksum: 142ee08922074dfdc0ff358e09ef9f07adf3671ab6eef4fca74dcf7a551f1a43717e7efa358c9e28d7eea84c28d7f177b7a58c70452fc312ae3b1893c5dab2a4
+ languageName: node
+ linkType: hard
+
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version: 7.18.6
resolution: "@babel/helper-hoist-variables@npm:7.18.6"
@@ -6125,6 +6175,15 @@ __metadata:
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linkType: hard
+"@babel/helper-hoist-variables@npm:^7.24.7":
+ version: 7.24.7
+ resolution: "@babel/helper-hoist-variables@npm:7.24.7"
+ dependencies:
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+ checksum: 6cfdcf2289cd12185dcdbdf2435fa8d3447b797ac75851166de9fc8503e2fd0021db6baf8dfbecad3753e582c08e6a3f805c8d00cbed756060a877d705bd8d8d
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+
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+"@babel/helper-module-imports@npm:^7.24.7":
+ version: 7.24.7
+ resolution: "@babel/helper-module-imports@npm:7.24.7"
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+ "@babel/types": ^7.24.7
+ checksum: 8ac15d96d262b8940bc469052a048e06430bba1296369be695fabdf6799f201dd0b00151762b56012a218464e706bc033f27c07f6cec20c6f8f5fd6543c67054
+ languageName: node
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@@ -6213,6 +6282,13 @@ __metadata:
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+"@babel/helper-plugin-utils@npm:^7.24.7":
+ version: 7.24.7
+ resolution: "@babel/helper-plugin-utils@npm:7.24.7"
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@@ -6284,6 +6360,15 @@ __metadata:
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resolution: "langchain@workspace:langchain"
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resolution: "make-dir@npm:1.3.0"
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+"rollup@npm:^3.29.4":
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+ resolution: "rollup@npm:3.29.4"
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resolution: "rollup@npm:4.8.0"
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+ resolution: "typescript@npm:5.5.2"
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resolution: "typescript@npm:5.4.5"
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+ languageName: node
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