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Generate streaming text to describe an image by using the Chat Completions API
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Generate streaming text to describe an image by using the Chat Completions API, which lets you send requests to Vertex AI models by using the OpenAI libraries.
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,["# Generate streaming text to describe an image by using the Chat Completions API, which lets you send requests to Vertex AI models by using the OpenAI libraries.\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 from google.auth import default\n import google.auth.transport.requests\n\n import openai\n\n # TODO(developer): Update and un-comment below lines\n # project_id = \"PROJECT_ID\"\n # location = \"us-central1\"\n\n # Programmatically get an access token\n credentials, _ = default(scopes=[\"https://www.googleapis.com/auth/cloud-platform\"])\n credentials.refresh(google.auth.transport.requests.Request())\n\n # OpenAI Client\n client = openai.OpenAI(\n base_url=f\"https://{location}-aiplatform.googleapis.com/v1/projects/{project_id}/locations/{location}/endpoints/openapi\",\n api_key=credentials.token,\n )\n\n response = client.chat.completions.create(\n model=\"google/gemini-2.0-flash-001\",\n messages=[\n {\n \"role\": \"user\",\n \"content\": [\n {\"type\": \"text\", \"text\": \"Describe the following image:\"},\n {\n \"type\": \"image_url\",\n \"image_url\": \"gs://cloud-samples-data/generative-ai/image/scones.jpg\",\n },\n ],\n }\n ],\n stream=True,\n )\n for chunk in response:\n print(chunk)\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)."]]