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Set labels for Generative AI requests in Vertex AI
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This sample demonstrates how to set labels for Generative AI requests in Vertex AI.
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For detailed documentation that includes this code sample, see the following:
Code sample
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[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],[],[],[],null,["# Set labels for Generative AI requests in Vertex AI\n\nThis sample demonstrates how to set labels for Generative AI requests in Vertex AI.\n\nExplore further\n---------------\n\n\nFor detailed documentation that includes this code sample, see the following:\n\n- [Custom metadata labels](/vertex-ai/generative-ai/docs/multimodal/add-labels-to-api-calls)\n\nCode sample\n-----------\n\n### Python\n\n\nBefore trying this sample, follow the Python setup instructions in the\n[Vertex AI quickstart using\nclient libraries](/vertex-ai/docs/start/client-libraries).\n\n\nFor more information, see the\n[Vertex AI Python API\nreference documentation](/python/docs/reference/aiplatform/latest).\n\n\nTo authenticate to Vertex AI, set up Application Default Credentials.\nFor more information, see\n\n[Set up authentication for a local development environment](/docs/authentication/set-up-adc-local-dev-environment).\n\n import https://cloud.google.com/python/docs/reference/vertexai/latest/\n\n from vertexai.generative_models import https://cloud.google.com/python/docs/reference/vertexai/latest/vertexai.preview.generative_models.GenerativeModel.html\n\n # TODO(developer): Update and un-comment below line\n # PROJECT_ID = \"your-project-id\"\n https://cloud.google.com/python/docs/reference/vertexai/latest/.init(project=PROJECT_ID, location=\"us-central1\")\n\n model = GenerativeModel(\"gemini-2.0-flash-001\")\n\n prompt = \"What is Generative AI?\"\n response = model.https://cloud.google.com/python/docs/reference/vertexai/latest/vertexai.preview.generative_models.GenerativeModel.html#vertexai_preview_generative_models_GenerativeModel_generate_content(\n prompt,\n # Example Labels\n labels={\n \"team\": \"research\",\n \"component\": \"frontend\",\n \"environment\": \"production\",\n },\n )\n\n print(response.text)\n # Example response:\n # Generative AI is a type of Artificial Intelligence focused on **creating new content** based on existing data.\n\nWhat's next\n-----------\n\n\nTo search and filter code samples for other Google Cloud products, see the\n[Google Cloud sample browser](/docs/samples?product=generativeaionvertexai)."]]