Gemini Vertex AI 400 error in recent update #7509

julian-shalaby · 2025-01-12T19:16:57Z

Checked other resources

I added a very descriptive title to this issue.
I searched the LangChain.js documentation with the integrated search.
I used the GitHub search to find a similar question and didn't find it.
I am sure that this is a bug in LangChain.js rather than my code.
The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package).

Example Code

{
  "name": "my-bun-project",
  "version": "1.0.0",
  "description": "A simple Bun project",
  "main": "src/index.ts",
  "type": "module",
  "scripts": {
    "start": "bun run src/index.ts",
    "test": "bun test"
  },
  "devDependencies": {
    "@types/bun": "latest",
    "@types/jest": "^29.5.14",
    "typescript": "^5.7.2"
  },
  "dependencies": {
    "@aws-sdk/client-firehose": "^3.716.0",
    "@elysiajs/cors": "^1.2.0",
    "@google-cloud/speech": "^6.7.0",
    "@google-cloud/text-to-speech": "^5.7.0",
    "@langchain/anthropic": "^0.3.11",
    "@langchain/core": "^0.3.29",
    "@langchain/google-vertexai-web": "^0.1.7",
    "@langchain/openai": "^0.3.17",
    "@langchain/xai": "^0.0.1",
    "@mistralai/mistralai": "^1.3.5",
    "@supabase/supabase-js": "^2.47.10",
    "@types/cheerio": "^0.22.35",
    "@types/dompurify": "^3.2.0",
    "@types/html-minifier": "^4.0.5",
    "@web-std/file": "^3.0.3",
    "docxtemplater": "^3.55.8",
    "elysia": "^1.1.25",
    "firebase-admin": "^13.0.2",
    "node-html-parser": "^7.0.1",
    "openai": "^4.78.1",
    "pdf.js-extract": "^0.2.1",
    "pizzip": "^3.1.7",
    "replicate": "^1.0.1",
    "serpapi": "^2.1.0",
    "sharp": "^0.33.5",
    "stripe": "^17.5.0",
    "uuid": "^11.0.3",
    "xlsx": "^0.18.5",
    "zod": "^3.24.1"
  }
}

        llm = new ChatVertexAI({
            model: model,
            authOptions: {
                credentials: JSON.parse(process.env.VERTEX_SERVICE_ACCOUNT_JSON!)
            },
            maxOutputTokens: 8192,
            temperature: temperature
        });

await llm.stream(messages, { stream_options: { include_usage: true } });

Error Message and Stack Trace (if applicable)

Google request failed with status code 400: [{ "error": { "code": 400, "message": "Unable to submit request because logprobs is not supported without setting response_logprobs to be true.. Learn more: https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/gemini", "status": "INVALID_ARGUMENT" } } ]

Description

I have been using the same code for months, and all has worked fine up until now. I recently updated my npm packages, and it seems like some incompatibility issue was introduced. That error message is fired any time I make a request now, and I have no way to bypass it. Setting logprobs to false does nothing

System Info

yarn info v1.22.19
warning package.json: No license field
(node:91718) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead.
(Use `node --trace-deprecation ...` to show where the warning was created)
{
  name: 'langchain',
  'dist-tags': {
    next: '0.3.2-rc.0',
    'tag-for-publishing-older-releases': '0.2.20',
    latest: '0.3.11'
  },
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  },
  bugs: {
    url: 'https://github.com/langchain-ai/langchainjs/issues'
  },
  author: {
    name: 'LangChain'
  },
  license: 'MIT',
  homepage: 'https://github.com/langchain-ai/langchainjs/tree/main/langchain/',
  keywords: [
    'llm',
    'ai',
    'gpt3',
    'chain',
    'prompt',
    'prompt engineering',
    'chatgpt',
    'machine learning',
    'ml',
    'openai',
    'embeddings',
    'vectorstores'
  ],
  repository: {
    type: 'git',
    url: 'git+ssh://[email protected]/langchain-ai/langchainjs.git'
  },
  description: 'Typescript bindings for langchain',
  maintainers: [
    {
      name: 'nfcampos',
      email: '[email protected]'
    },
    {
      name: 'jacoblee93',
      email: '[email protected]'
    },
    {
      name: 'andrewnguonly',
      email: '[email protected]'
    },
    {
      name: 'davidduong',
      email: '[email protected]'
    },
    {
      name: 'hwchase17',
      email: '[email protected]'
    },
    {
      name: 'basproul',
      email: '[email protected]'
    }
  ],
  readmeFilename: 'README.md',
  version: '0.3.11',
  type: 'module',
  engines: {
    node: '>=18'
  },
  main: './index.js',
  types: './index.d.ts',
  scripts: {
    build: 'yarn turbo:command build:internal --filter=langchain',
    'build:internal': 'yarn lc_build --create-entrypoints --pre --tree-shaking --gen-maps',
    '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',
    precommit: 'lint-staged',
    clean: 'rm -rf .turbo dist/',
    prepack: 'yarn build',
    release: 'release-it --only-version --config .release-it.json',
    test: 'NODE_OPTIONS=--experimental-vm-modules jest --testPathIgnorePatterns=\\.int\\.test.ts --testTimeout 30000 --maxWorkers=50%',
    'test:watch': 'NODE_OPTIONS=--experimental-vm-modules jest --watch --testPathIgnorePatterns=\\.int\\.test.ts',
    'test:integration': 'NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.int\\.test.ts --testTimeout 100000 --maxWorkers=50%',
    'test:single': 'NODE_OPTIONS=--experimental-vm-modules yarn run jest --config jest.config.cjs --testTimeout 100000',
    format: 'prettier --config .prettierrc --write "src"',
    'format:check': 'prettier --config .prettierrc --check "src"'
  },
  devDependencies: {
    '@faker-js/faker': '^7.6.0',
    '@jest/globals': '^29.5.0',
    '@langchain/anthropic': '*',
    '@langchain/aws': '*',
    '@langchain/cerebras': '*',
    '@langchain/cohere': '*',
    '@langchain/core': 'workspace:*',
    '@langchain/google-genai': '*',
    '@langchain/google-vertexai': '*',
    '@langchain/google-vertexai-web': '*',
    '@langchain/groq': '*',
    '@langchain/mistralai': '*',
    '@langchain/ollama': '*',
    '@langchain/scripts': '>=0.1.0 <0.2.0',
    '@swc/core': '^1.3.90',
    '@swc/jest': '^0.2.29',
    '@tsconfig/recommended': '^1.0.2',
    '@types/handlebars': '^4.1.0',
    '@types/html-to-text': '^9',
    '@types/js-yaml': '^4',
    '@types/jsdom': '^21.1.1',
    '@types/uuid': '^9',
    '@types/ws': '^8',
    '@typescript-eslint/eslint-plugin': '^5.58.0',
    '@typescript-eslint/parser': '^5.58.0',
    axios: '^0.26.0',
    cheerio: '1.0.0-rc.12',
    dotenv: '^16.0.3',
    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-jest': '^27.6.0',
    'eslint-plugin-no-instanceof': '^1.0.1',
    'eslint-plugin-prettier': '^4.2.1',
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    prettier: '^2.8.3',
    'release-it': '^17.6.0',
    rimraf: '^5.0.1',
    rollup: '^3.19.1',
    'ts-jest': '^29.1.0',
    typeorm: '^0.3.20',
    typescript: '~5.1.6',
    wikipedia: '^2.1.2'
  },
  peerDependencies: {
    '@langchain/anthropic': '*',
    '@langchain/aws': '*',
    '@langchain/cerebras': '*',
    '@langchain/cohere': '*',
    '@langchain/core': '>=0.2.21 <0.4.0',
    '@langchain/google-genai': '*',
    '@langchain/google-vertexai': '*',
    '@langchain/google-vertexai-web': '*',
    '@langchain/groq': '*',
    '@langchain/mistralai': '*',
    '@langchain/ollama': '*',
    axios: '*',
    cheerio: '*',
    handlebars: '^4.7.8',
    peggy: '^3.0.2',
    typeorm: '*'
  },
  peerDependenciesMeta: {
    '@langchain/anthropic': {
      optional: true
    },
    '@langchain/aws': {
      optional: true
    },
    '@langchain/cerebras': {
      optional: true
    },
    '@langchain/cohere': {
      optional: true
    },
    '@langchain/google-genai': {
      optional: true
    },
    '@langchain/google-vertexai': {
      optional: true
    },
    '@langchain/google-vertexai-web': {
      optional: true
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      optional: true
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    '@langchain/mistralai': {
      optional: true
    },
    '@langchain/ollama': {
      optional: true
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    axios: {
      optional: true
    },
    cheerio: {
      optional: true
    },
    handlebars: {
      optional: true
    },
    peggy: {
      optional: true
    },
    typeorm: {
      optional: true
    }
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  dependencies: {
    '@langchain/openai': '>=0.1.0 <0.4.0',
    '@langchain/textsplitters': '>=0.0.0 <0.2.0',
    'js-tiktoken': '^1.0.12',
    'js-yaml': '^4.1.0',
    jsonpointer: '^5.0.1',
    langsmith: '^0.2.8',
    'openapi-types': '^12.1.3',
    'p-retry': '4',
    uuid: '^10.0.0',
    yaml: '^2.2.1',
    zod: '^3.22.4',
    'zod-to-json-schema': '^3.22.3'
  },
  publishConfig: {
    access: 'public'
  },
  exports: {
    './load': {
      types: {
        import: './load.d.ts',
        require: './load.d.cts',
        default: './load.d.ts'
      },
      import: './load.js',
      require: './load.cjs'
    },
    './load/serializable': {
      types: {
        import: './load/serializable.d.ts',
        require: './load/serializable.d.cts',
        default: './load/serializable.d.ts'
      },
      import: './load/serializable.js',
      require: './load/serializable.cjs'
    },
    './agents': {
      types: {
        import: './agents.d.ts',
        require: './agents.d.cts',
        default: './agents.d.ts'
      },
      import: './agents.js',
      require: './agents.cjs'
    },
    './agents/load': {
      types: {
        import: './agents/load.d.ts',
        require: './agents/load.d.cts',
        default: './agents/load.d.ts'
      },
      import: './agents/load.js',
      require: './agents/load.cjs'
    },
    './agents/toolkits': {
      types: {
        import: './agents/toolkits.d.ts',
        require: './agents/toolkits.d.cts',
        default: './agents/toolkits.d.ts'
      },
      import: './agents/toolkits.js',
      require: './agents/toolkits.cjs'
    },
    './agents/toolkits/sql': {
      types: {
        import: './agents/toolkits/sql.d.ts',
        require: './agents/toolkits/sql.d.cts',
        default: './agents/toolkits/sql.d.ts'
      },
      import: './agents/toolkits/sql.js',
      require: './agents/toolkits/sql.cjs'
    },
    './agents/format_scratchpad': {
      types: {
        import: './agents/format_scratchpad.d.ts',
        require: './agents/format_scratchpad.d.cts',
        default: './agents/format_scratchpad.d.ts'
      },
      import: './agents/format_scratchpad.js',
      require: './agents/format_scratchpad.cjs'
    },
    './agents/format_scratchpad/openai_tools': {
      types: {
        import: './agents/format_scratchpad/openai_tools.d.ts',
        require: './agents/format_scratchpad/openai_tools.d.cts',
        default: './agents/format_scratchpad/openai_tools.d.ts'
      },
      import: './agents/format_scratchpad/openai_tools.js',
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Platform:
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Yarn version:
1.22.19

The text was updated successfully, but these errors were encountered:

dosubot · 2025-01-12T19:18:54Z

The error you're encountering is due to a change in the Gemini Vertex AI API requirements. The error message indicates that the logprobs feature is not supported unless response_logprobs is set to true. To resolve this issue, you need to modify your configuration to include the responseLogprobs parameter set to true in your ChatVertexAI class instantiation.

Here's how you can update your code:

llm = new ChatVertexAI({
    model: model,
    authOptions: {
        credentials: JSON.parse(process.env.VERTEX_SERVICE_ACCOUNT_JSON!)
    },
    maxOutputTokens: 8192,
    temperature: temperature,
    responseLogprobs: true // Add this line
});

This change should align your configuration with the updated API requirements and resolve the 400 error you're experiencing.

To continue talking to Dosu, mention @dosu.

^{Help Dosu learn! Give it feedback: Great Response | Irrelevant Answer | Incorrect Sources | Too Verbose | Hallucination | Other}

julian-shalaby · 2025-01-12T19:20:24Z

The error you're encountering is due to a change in the Gemini Vertex AI API requirements. The error message indicates that the logprobs feature is not supported unless response_logprobs is set to true. To resolve this issue, you need to modify your configuration to include the responseLogprobs parameter set to true in your ChatVertexAI class instantiation.

Here's how you can update your code:
llm = new ChatVertexAI({
    model: model,
    authOptions: {
        credentials: JSON.parse(process.env.VERTEX_SERVICE_ACCOUNT_JSON!)
    },
    maxOutputTokens: 8192,
    temperature: temperature,
    responseLogprobs: true // Add this line
});
This change should align your configuration with the updated API requirements and resolve the 400 error you're experiencing.

To continue talking to Dosu, mention @dosu.

Help Dosu learn! Give it feedback: Great Response | Irrelevant Answer | Incorrect Sources | Too Verbose | Hallucination | Other

Nope.

shlroland · 2025-01-13T07:28:13Z

The error you're encountering is due to a change in the Gemini Vertex AI API requirements. The error message indicates that the logprobs feature is not supported unless response_logprobs is set to true. To resolve this issue, you need to modify your configuration to include the responseLogprobs parameter set to true in your ChatVertexAI class instantiation.您遇到的错误是由于 Gemini Vertex AI API 要求的更改。错误消息表明，除非将 response_logprobs 设置为 true，否则不支持 logprobs 功能。为了解决此问题，您需要修改配置，以在 ChatVertexAI 类实例化中包含将 responseLogprobs 参数设置为 true。

Here's how you can update your code:以下是如何更新您的代码：
llm = new ChatVertexAI({
    model: model,
    authOptions: {
        credentials: JSON.parse(process.env.VERTEX_SERVICE_ACCOUNT_JSON!)
    },
    maxOutputTokens: 8192,
    temperature: temperature,
    responseLogprobs: true // Add this line
});
This change should align your configuration with the updated API requirements and resolve the 400 error you're experiencing.此更改应使您的配置与更新的 API 要求对齐，并解决您遇到的 400 错误。

To continue talking to Dosu, mention @dosu.要继续与 Dosu 交谈，请提到 .

Help Dosu learn! Give it feedback: Great Response | Irrelevant Answer | Incorrect Sources | Too Verbose | Hallucination | Other

I've faced the same issue, and it turns out that ChatVertexAI doesn't actually include the responseLogprobs parameter—only logprobs is available. I suspect that disabling logprobs will generate the same error message.

pczekaj · 2025-01-13T07:29:52Z

@afirstenberg can this be caused by your changes from #7472 ?

akilkhatri104 · 2025-01-13T12:18:16Z

I am new to Langchain JS and having the same issue. Setting logprobs to true gives the following error

Model :: translate :: Error: Google request failed with status code 429: { "error": { "code": 429, "message": "Unable to submit request because you've reached the maximum number of requests with logprobs you can make per day. Remove logprobs from the request or try again tomorrow.", "status": "RESOURCE_EXHAUSTED" } }

julian-shalaby · 2025-01-13T15:47:19Z

The error you're encountering is due to a change in the Gemini Vertex AI API requirements. The error message indicates that the logprobs feature is not supported unless response_logprobs is set to true. To resolve this issue, you need to modify your configuration to include the responseLogprobs parameter set to true in your ChatVertexAI class instantiation.您遇到的错误是由于 Gemini Vertex AI API 要求的更改。错误消息表明，除非将 response_logprobs 设置为 true，否则不支持 logprobs 功能。为了解决此问题，您需要修改配置，以在 ChatVertexAI 类实例化中包含将 responseLogprobs 参数设置为 true。

Here's how you can update your code:以下是如何更新您的代码：
llm = new ChatVertexAI({
model: model,
authOptions: {
    credentials: JSON.parse(process.env.VERTEX_SERVICE_ACCOUNT_JSON!)
},
maxOutputTokens: 8192,
temperature: temperature,
responseLogprobs: true // Add this line
});
This change should align your configuration with the updated API requirements and resolve the 400 error you're experiencing.此更改应使您的配置与更新的 API 要求对齐，并解决您遇到的 400 错误。

To continue talking to Dosu, mention @dosu.要继续与 Dosu 交谈，请提到 .

Help Dosu learn! Give it feedback: Great Response | Irrelevant Answer | Incorrect Sources | Too Verbose | Hallucination | Other

I've faced the same issue, and it turns out that ChatVertexAI doesn't actually include the responseLogprobs parameter—only logprobs is available. I suspect that disabling logprobs will generate the same error message.

Yep. I have never touched this parameter, and the error began popping up out of nowhere. If I explicitly disable logprobs, it does nothing and still errors

igortrinidad · 2025-01-13T15:53:02Z

Using the resonseLogprobs: true parameter doesn't solve the issue and the parameter is unknown on the ChatVertexAI input, this is the error:

❯ AI Models integration tests / Test BaseAIService

   Error: Unable to submit request because logprobs is not supported without setting response_logprobs to be true.. Learn more:
   https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/gemini
 

   ⁃ Gaxios._request
     node_modules/gaxios/src/gaxios.ts:169
   ⁃ async JWT.requestAsync
     node_modules/google-auth-library/build/src/auth/oauth2client.js:382
   ⁃ async RetryOperation._fn
     node_modules/p-retry/index.js:50

afirstenberg · 2025-01-13T18:06:22Z

@afirstenberg can this be caused by your changes from #7472 ?

It sure sounds that way. I'm digging into what happened and why our tests didn't catch this. It sounds like it is trying to set logprobs even if not specified at all

Setting logprobs to true gives the following error

That's because Google limits the use of logprobs to one per day.

I'm investigating and will get an update ASAP (@jacoblee93 - Heads up that something will be incoming imminently or that we should revert.)

afirstenberg · 2025-01-13T19:36:05Z

I'm not sure why the tests missed it before.
Verified that they catch it now.
Added additional tests to google-common as well.
Oh yeah... and made the fix.
Available in #7515 and I hope they'll push the fix shortly.

jacoblee93 · 2025-01-13T22:07:51Z

Apologies for this! Fix is going out shortly

jacoblee93 · 2025-01-13T22:39:41Z

Fix is live in 0.1.8!

dosubot bot added the auto:bug Related to a bug, vulnerability, unexpected error with an existing feature label Jan 12, 2025

afirstenberg mentioned this issue Jan 13, 2025

fix(google-vertexai): fix bug when not using logprobs #7515

Merged

jacoblee93 closed this as completed in #7515 Jan 13, 2025

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Gemini Vertex AI 400 error in recent update #7509

Gemini Vertex AI 400 error in recent update #7509

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Gemini Vertex AI 400 error in recent update #7509

Gemini Vertex AI 400 error in recent update #7509

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