ChatGoogleGenerativeAI 集成

export GOOGLE_API_KEY="your-api-key"

# export LANGSMITH_TRACING="true"
# export LANGSMITH_API_KEY="your-api-key"

import { ChatGoogleGenerativeAI } from "@langchain/google-genai"

const llm = new ChatGoogleGenerativeAI({
    model: "gemini-2.5-pro",
    temperature: 0,
    maxRetries: 2,
    // 其他参数...
})

const aiMsg = await llm.invoke([
    [
        "system",
        "您是一个将英语翻译成法语的有用助手。请翻译用户的句子。",
    ],
    ["human", "I love programming."],
])
aiMsg

AIMessage {
  "content": "J'adore programmer. \n",
  "additional_kwargs": {
    "finishReason": "STOP",
    "index": 0,
    "safetyRatings": [
      {
        "category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
        "probability": "NEGLIGIBLE"
      },
      {
        "category": "HARM_CATEGORY_HATE_SPEECH",
        "probability": "NEGLIGIBLE"
      },
      {
        "category": "HARM_CATEGORY_HARASSMENT",
        "probability": "NEGLIGIBLE"
      },
      {
        "category": "HARM_CATEGORY_DANGEROUS_CONTENT",
        "probability": "NEGLIGIBLE"
      }
    ]
  },
  "response_metadata": {
    "finishReason": "STOP",
    "index": 0,
    "safetyRatings": [
      {
        "category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
        "probability": "NEGLIGIBLE"
      },
      {
        "category": "HARM_CATEGORY_HATE_SPEECH",
        "probability": "NEGLIGIBLE"
      },
      {
        "category": "HARM_CATEGORY_HARASSMENT",
        "probability": "NEGLIGIBLE"
      },
      {
        "category": "HARM_CATEGORY_DANGEROUS_CONTENT",
        "probability": "NEGLIGIBLE"
      }
    ]
  },
  "tool_calls": [],
  "invalid_tool_calls": [],
  "usage_metadata": {
    "input_tokens": 21,
    "output_tokens": 5,
    "total_tokens": 26
  }
}

console.log(aiMsg.content)

J'adore programmer.

import { ChatGoogleGenerativeAI } from "@langchain/google-genai";
import { HarmBlockThreshold, HarmCategory } from "@google/generative-ai";

const llmWithSafetySettings = new ChatGoogleGenerativeAI({
  model: "gemini-2.5-pro",
  temperature: 0,
  safetySettings: [
    {
      category: HarmCategory.HARM_CATEGORY_HARASSMENT,
      threshold: HarmBlockThreshold.BLOCK_LOW_AND_ABOVE,
    },
  ],
  // 其他参数...
});

import { tool } from "@langchain/core/tools";
import { ChatGoogleGenerativeAI } from "@langchain/google-genai";
import * as z from "zod";

// 定义您的工具
const fakeBrowserTool = tool((_) => {
  return "搜索结果是 xyz..."
}, {
  name: "browser_tool",
  description: "当您需要在网络上查找内容或总结网页时很有用。",
  schema: z.object({
    url: z.string().describe("要搜索的网页 URL。"),
    query: z.string().optional().describe("可选的搜索查询。"),
  }),
})

const llmWithTool = new ChatGoogleGenerativeAI({
  model: "gemini-pro",
}).bindTools([fakeBrowserTool]) // 将工具绑定到模型

const toolRes = await llmWithTool.invoke([
  [
    "human",
    "搜索网络并告诉我今晚纽约的天气情况。使用一个流行的天气网站",
  ],
]);

console.log(toolRes.tool_calls);

[
  {
    name: 'browser_tool',
    args: {
      url: 'https://www.weather.com',
      query: 'weather tonight in new york'
    },
    type: 'tool_call'
  }
]

import { DynamicRetrievalMode, GoogleSearchRetrievalTool } from "@google/generative-ai";
import { ChatGoogleGenerativeAI } from "@langchain/google-genai";

const searchRetrievalTool: GoogleSearchRetrievalTool = {
  googleSearchRetrieval: {
    dynamicRetrievalConfig: {
      mode: DynamicRetrievalMode.MODE_DYNAMIC,
      dynamicThreshold: 0.7, // 默认为 0.7
    }
  }
};
const searchRetrievalModel = new ChatGoogleGenerativeAI({
  model: "gemini-2.5-pro",
  temperature: 0,
  maxRetries: 0,
}).bindTools([searchRetrievalTool]);

const searchRetrievalResult = await searchRetrievalModel.invoke("Who won the 2024 MLB World Series?");

console.log(searchRetrievalResult.content);

The Los Angeles Dodgers won the 2024 World Series, defeating the New York Yankees in Game 5 on October 30, 2024, by a score of 7-6. This victory marks the Dodgers' eighth World Series title and their first in a full season since 1988.  They achieved this win by overcoming a 5-0 deficit, making them the first team in World Series history to win a clinching game after being behind by such a margin.  The Dodgers also became the first team in MLB postseason history to overcome a five-run deficit, fall behind again, and still win.  Walker Buehler earned the save in the final game, securing the championship for the Dodgers.

console.dir(searchRetrievalResult.response_metadata?.groundingMetadata, { depth: null });

{
  searchEntryPoint: {
    renderedContent: '<style>\n' +
      '.container {\n' +
      '  align-items: center;\n' +
      '  border-radius: 8px;\n' +
      '  display: flex;\n' +
      '  font-family: Google Sans, Roboto, sans-serif;\n' +
      '  font-size: 14px;\n' +
      '  line-height: 20px;\n' +
      '  padding: 8px 12px;\n' +
      '}\n' +
      '.chip {\n' +
      '  display: inline-block;\n' +
      '  border: solid 1px;\n' +
      '  border-radius: 16px;\n' +
      '  min-width: 14px;\n' +
      '  padding: 5px 16px;\n' +
      '  text-align: center;\n' +
      '  user-select: none;\n' +
      '  margin: 0 8px;\n' +
      '  -webkit-tap-highlight-color: transparent;\n' +
      '}\n' +
      '.carousel {\n' +
      '  overflow: auto;\n' +
      '  scrollbar-width: none;\n' +
      '  white-space: nowrap;\n' +
      '  margin-right: -12px;\n' +
      '}\n' +
      '.headline {\n' +
      '  display: flex;\n' +
      '  margin-right: 4px;\n' +
      '}\n' +
      '.gradient-container {\n' +
      '  position: relative;\n' +
      '}\n' +
      '.gradient {\n' +
      '  position: absolute;\n' +
      '  transform: translate(3px, -9px);\n' +
      '  height: 36px;\n' +
      '  width: 9px;\n' +
      '}\n' +
      '@media (prefers-color-scheme: light) {\n' +
      '  .container {\n' +
      '    background-color: #fafafa;\n' +
      '    box-shadow: 0 0 0 1px #0000000f;\n' +
      '  }\n' +
      '  .headline-label {\n' +
      '    color: #1f1f1f;\n' +
      '  }\n' +
      '  .chip {\n' +
      '    background-color: #ffffff;\n' +
      '    border-color: #d2d2d2;\n' +
      '    color: #5e5e5e;\n' +
      '    text-decoration: none;\n' +
      '  }\n' +
      '  .chip:hover {\n' +
      '    background-color: #f2f2f2;\n' +
      '  }\n' +
      '  .chip:focus {\n' +
      '    background-color: #f2f2f2;\n' +
      '  }\n' +
      '  .chip:active {\n' +
      '    background-color: #d8d8d8;\n' +
      '    border-color: #b6b6b6;\n' +
      '  }\n' +
      '  .logo-dark {\n' +
      '    display: none;\n' +
      '  }\n' +
      '  .gradient {\n' +
      '    background: linear-gradient(90deg, #fafafa 15%, #fafafa00 100%);\n' +
      '  }\n' +
      '}\n' +
      '@media (prefers-color-scheme: dark) {\n' +
      '  .container {\n' +
      '    background-color: #1f1f1f;\n' +
      '    box-shadow: 0 0 0 1px #ffffff26;\n' +
      '  }\n' +
      '  .headline-label {\n' +
      '    color: #fff;\n' +
      '  }\n' +
      '  .chip {\n' +
      '    background-color: #2c2c2c;\n' +
      '    border-color: #3c4043;\n' +
      '    color: #fff;\n' +
      '    text-decoration: none;\n' +
      '  }\n' +
      '  .chip:hover {\n' +
      '    background-color: #353536;\n' +
      '  }\n' +
      '  .chip:focus {\n' +
      '    background-color: #353536;\n' +
      '  }\n' +
      '  .chip:active {\n' +
      '    background-color: #464849;\n' +
      '    border-color: #53575b;\n' +
      '  }\n' +
      '  .logo-light {\n' +
      '    display: none;\n' +
      '  }\n' +
      '  .gradient {\n' +
      '    background: linear-gradient(90deg, #1f1f1f 15%, #1f1f1f00 100%);\n' +
      '  }\n' +
      '}\n' +
      '</style>\n' +
      '<div class="container">\n' +
      '  <div class="headline">\n' +
      '    <svg class="logo-light" width="18" height="18" viewBox="9 9 35 35" fill="none" xmlns="http://www.w3.org/2000/svg">\n' +
      '      <path fill-rule="evenodd" clip-rule="evenodd" d="M42.8622 27.0064C42.8622 25.7839 42.7525 24.6084 42.5487 23.4799H26.3109V30.1568H35.5897C35.1821 32.3041 33.9596 34.1222 32.1258 35.3448V39.6864H37.7213C40.9814 36.677 42.8622 32.2571 42.8622 27.0064V27.0064Z" fill="#4285F4"/>\n' +
      '      <path fill-rule="evenodd" clip-rule="evenodd" d="M26.3109 43.8555C30.9659 43.8555 34.8687 42.3195 37.7213 39.6863L32.1258 35.3447C30.5898 36.3792 28.6306 37.0061 26.3109 37.0061C21.8282 37.0061 18.0195 33.9811 16.6559 29.906H10.9194V34.3573C13.7563 39.9841 19.5712 43.8555 26.3109 43.8555V43.8555Z" fill="#34A853"/>\n' +
      '      <path fill-rule="evenodd" clip-rule="evenodd" d="M16.6559 29.8904C16.3111 28.8559 16.1074 27.7588 16.1074 26.6146C16.1074 25.4704 16.3111 24.3733 16.6559 23.3388V18.8875H10.9194C9.74388 21.2072 9.06992 23.8247 9.06992 26.6146C9.06992 29.4045 9.74388 32.022 10.9194 34.3417L15.3864 30.8621L16.6559 29.8904V29.8904Z" fill="#FBBC05"/>\n' +
      '      <path fill-rule="evenodd" clip-rule="evenodd" d="M26.3109 16.2386C28.85 16.2386 31.107 17.1164 32.9095 18.8091L37.8466 13.8719C34.853 11.082 30.9659 9.3736 26.3109 9.3736C19.5712 9.3736 13.7563 13.245 10.9194 18.8875L16.6559 23.3388C18.0195 19.2636 21.8282 16.2386 26.3109 16.2386V16.2386Z" fill="#EA4335"/>\n' +
      '    </svg>\n' +
      '    <svg class="logo-dark" width="18" height="18" viewBox="0 0 48 48" xmlns="http://www.w3.org/2000/svg">\n' +
      '      <circle cx="24" cy="23" fill="#FFF" r="22"/>\n' +
      '      <path d="M33.76 34.26c2.75-2.56 4.49-6.37 4.49-11.26 0-.89-.08-1.84-.29-3H24.01v5.99h8.03c-.4 2.02-1.5 3.56-3.07 4.56v.75l3.91 2.97h.88z" fill="#4285F4"/>\n' +
      '      <path d="M15.58 25.77A8.845 8.845 0 0 0 24 31.86c1.92 0 3.62-.46 4.97-1.31l4.79 3.71C31.14 36.7 27.65 38 24 38c-5.93 0-11.01-3.4-13.45-8.36l.17-1.01 4.06-2.85h.8z" fill="#34A853"/>\n' +
      '      <path d="M15.59 20.21a8.864 8.864 0 0 0 0 5.58l-5.03 3.86c-.98-2-1.53-4.25-1.53-6.64 0-2.39.55-4.64 1.53-6.64l1-.22 3.81 2.98.22 1.08z" fill="#FBBC05"/>\n' +
      '      <path d="M24 14.14c2.11 0 4.02.75 5.52 1.98l4.36-4.36C31.22 9.43 27.81 8 24 8c-5.93 0-11.01 3.4-13.45 8.36l5.03 3.85A8.86 8.86 0 0 1 24 14.14z" fill="#EA4335"/>\n' +
      '    </svg>\n' +
      '    <div class="gradient-container"><div class="gradient"></div></div>\n' +
      '  </div>\n' +
      '  <div class="carousel">\n' +
      '    <a class="chip" href="https://vertexaisearch.cloud.google.com/grounding-api-redirect/AZnLMfyXqJN3K4FKueRIZDY2Owjs5Rw4dqgDOc6ZjYKsFo4GgENxLktR2sPHtNUuEBIUeqmUYc3jz9pLRq2cgSpc-4EoGBwQSTTpKk71CX7revnXUa54r9LxcxKgYxrUNBm5HpEm6JDNeJykc6NacPYv43M2wgkrhHCHCzHRyjEP2YR0Pxq4JQMUuOrLeTAYWB9oUb87FE5ksfuB6gimqO5-6uS3psR6">who won the 2024 mlb world series</a>\n' +
      '  </div>\n' +
      '</div>\n'
  },
  groundingChunks: [
    {
      web: {
        uri: 'https://vertexaisearch.cloud.google.com/grounding-api-redirect/AZnLMfwvs0gpiM4BbIcNXZnnp4d4ED_rLnIYz2ZwM-lwFnoUxXNlKzy7ZSbbs_E27yhARG6Gx2AuW7DsoqkWPfDFMqPdXfvG3n0qFOQxQ4MBQ9Ox9mTk3KH5KPRJ79m8V118RQRyhi6oK5qg5-fLQunXUVn_a42K7eMk7Kjb8VpZ4onl8Glv1lQQsAK7YWyYkQ7WkTHDHVGB-vrL2U2yRQ==',
        title: 'foxsports.com'
      }
    },
    {
      web: {
        uri: 'https://vertexaisearch.cloud.google.com/grounding-api-redirect/AZnLMfwxwBq8VYgKAhf3UC8U6U5D-i0lK4TwP-2Jf8ClqB-sI0iptm9GxgeaH1iHFbSi-j_C3UqYj8Ok0YDTyvg87S7JamU48pndrd467ZQbI2sI0yWxsCCZ_dosXHwemBHFL5TW2hbAqasq93CfJ09cp1jU',
        title: 'mlb.com'
      }
    }
  ],
  groundingSupports: [
    {
      segment: {
        endIndex: 131,
        text: 'The Los Angeles Dodgers won the 2024 World Series, defeating the New York Yankees in Game 5 on October 30, 2024, by a score of 7-6.'
      },
      groundingChunkIndices: [ 0, 1 ],
      confidenceScores: [ 0.7652759, 0.7652759 ]
    },
    {
      segment: {
        startIndex: 401,
        endIndex: 531,
        text: 'The Dodgers also became the first team in MLB postseason history to overcome a five-run deficit, fall behind again, and still win.'
      },
      groundingChunkIndices: [ 1 ],
      confidenceScores: [ 0.8487609 ]
    }
  ],
  retrievalMetadata: { googleSearchDynamicRetrievalScore: 0.93359375 },
  webSearchQueries: [ 'who won the 2024 mlb world series' ]
}

import { CodeExecutionTool } from "@google/generative-ai";
import { ChatGoogleGenerativeAI } from "@langchain/google-genai";

const codeExecutionTool: CodeExecutionTool = {
  codeExecution: {}, // 只需传递一个空对象即可启用它。
};
const codeExecutionModel = new ChatGoogleGenerativeAI({
  model: "gemini-2.5-pro",
  temperature: 0,
  maxRetries: 0,
}).bindTools([codeExecutionTool]);

const codeExecutionResult = await codeExecutionModel.invoke("Use code execution to find the sum of the first and last 3 numbers in the following list: [1, 2, 3, 72638, 8, 727, 4, 5, 6]");

console.dir(codeExecutionResult.content, { depth: null });

[
  {
    type: 'text',
    text: "Here's how to find the sum of the first and last three numbers in the given list using Python:\n" +
      '\n'
  },
  {
    type: 'executableCode',
    executableCode: {
      language: 'PYTHON',
      code: '\n' +
        'my_list = [1, 2, 3, 72638, 8, 727, 4, 5, 6]\n' +
        '\n' +
        'first_three_sum = sum(my_list[:3])\n' +
        'last_three_sum = sum(my_list[-3:])\n' +
        'total_sum = first_three_sum + last_three_sum\n' +
        '\n' +
        'print(f"{first_three_sum=}")\n' +
        'print(f"{last_three_sum=}")\n' +
        'print(f"{total_sum=}")\n' +
        '\n'
    }
  },
  {
    type: 'codeExecutionResult',
    codeExecutionResult: {
      outcome: 'OUTCOME_OK',
      output: 'first_three_sum=6\nlast_three_sum=15\ntotal_sum=21\n'
    }
  },
  {
    type: 'text',
    text: 'Therefore, the sum of the first three numbers (1, 2, 3) is 6, the sum of the last three numbers (4, 5, 6) is 15, and their total sum is 21.\n'
  }
]

const codeExecutionExplanation = await codeExecutionModel.invoke([
  codeExecutionResult,
  {
    role: "user",
    content: "请解释我提出的问题、您编写的代码以及您得到的答案。",
  }
])

console.log(codeExecutionExplanation.content);

You asked for the sum of the first three and the last three numbers in the list `[1, 2, 3, 72638, 8, 727, 4, 5, 6]`.

Here's a breakdown of the code:

1. **`my_list = [1, 2, 3, 72638, 8, 727, 4, 5, 6]`**: This line defines the list of numbers you provided.

2. **`first_three_sum = sum(my_list[:3])`**: This calculates the sum of the first three numbers.  `my_list[:3]` is a slice of the list that takes elements from the beginning up to (but not including) the index 3.  So, it takes elements at indices 0, 1, and 2, which are 1, 2, and 3. The `sum()` function then adds these numbers together.

3. **`last_three_sum = sum(my_list[-3:])`**: This calculates the sum of the last three numbers. `my_list[-3:]` is a slice that takes elements starting from the third element from the end and goes to the end of the list. So it takes elements at indices -3, -2, and -1 which correspond to 4, 5, and 6. The `sum()` function adds these numbers.

4. **`total_sum = first_three_sum + last_three_sum`**: This adds the sum of the first three numbers and the sum of the last three numbers to get the final result.

5. **`print(f"{first_three_sum=}")`**, **`print(f"{last_three_sum=}")`**, and **`print(f"{total_sum=}")`**: These lines print the calculated sums in a clear and readable format.


The output of the code was:

* `first_three_sum=6`
* `last_three_sum=15`
* `total_sum=21`

Therefore, the answer to your question is 21.

import { ChatGoogleGenerativeAI } from "@langchain/google-genai";
import {
  GoogleAICacheManager,
  GoogleAIFileManager,
} from "@google/generative-ai/server";

const fileManager = new GoogleAIFileManager(process.env.GOOGLE_API_KEY);
const cacheManager = new GoogleAICacheManager(process.env.GOOGLE_API_KEY);

// 上传文件以供缓存
const pathToVideoFile = "/path/to/video/file";
const displayName = "example-video";
const fileResult = await fileManager.uploadFile(pathToVideoFile, {
    displayName,
    mimeType: "video/mp4",
});

// 上传完成后创建缓存内容
const cachedContent = await cacheManager.create({
    model: "models/gemini-2.5-flash",
    displayName: displayName,
    systemInstruction: "您是一位专家视频分析师，您的工作是根据您有权访问的视频文件回答用户的查询。",
    contents: [
        {
            role: "user",
            parts: [
                {
                    fileData: {
                        mimeType: fileResult.file.mimeType,
                        fileUri: fileResult.file.uri,
                    },
                },
            ],
        },
    ],
    ttlSeconds: 300,
});

// 将缓存的视频传递给模型
const model = new ChatGoogleGenerativeAI({});
model.useCachedContent(cachedContent);

// 使用缓存的视频调用模型
await model.invoke("总结视频");