NVIDIA NIM · Arazzo Workflow

NVIDIA NIM Vision Describe And Summarize

Version 1.0.0

Describe an image with a vision-language model, then condense the description into a short caption with an LLM.

1 workflow 2 source APIs 1 provider
View Spec View on GitHub Artificial IntelligenceInferenceMicroservicesLLMFoundation ModelsGPUKubernetesNVIDIAOpenAI-CompatibleArazzoWorkflows

Provider

nvidia-nim

Workflows

vision-describe-and-summarize
Describe an image with a VLM, then summarize the description into a caption.
Sends an image to a vision-language model for a detailed description, then asks a text chat model to condense that description into a short caption.
2 steps inputs: apiKey, chatModel, imageUrl, visionModel outputs: caption, description
1
describeImage
Ask the vision-language model to produce a detailed description of the image supplied as an image_url content part.
2
summarizeDescription
Condense the detailed image description into a single short caption using a text-only chat model.

Source API Descriptions

Arazzo Workflow Specification

Raw ↑
arazzo: 1.0.1
info:
  title: NVIDIA NIM Vision Describe And Summarize
  summary: Describe an image with a vision-language model, then condense the description into a short caption with an LLM.
  description: >-
    A two-stage multimodal flow. A vision-language NIM first produces a detailed
    description of the supplied image, passed in as an image_url content part
    inside the user message. The detailed description is then handed to a
    text-only chat model that condenses it into a short, shareable caption. This
    splits the expensive multimodal pass (rich description) from the cheap
    text pass (summarization). Every step spells out its request inline so the
    flow can be read and executed without opening the underlying OpenAPI
    description.
  version: 1.0.0
sourceDescriptions:
- name: chatApi
  url: ../openapi/nvidia-nim-chat-api-openapi.yml
  type: openapi
- name: visionApi
  url: ../openapi/nvidia-nim-vision-api-openapi.yml
  type: openapi
workflows:
- workflowId: vision-describe-and-summarize
  summary: Describe an image with a VLM, then summarize the description into a caption.
  description: >-
    Sends an image to a vision-language model for a detailed description, then
    asks a text chat model to condense that description into a short caption.
  inputs:
    type: object
    required:
    - apiKey
    - imageUrl
    properties:
      apiKey:
        type: string
        description: NVIDIA developer API key (nvapi-...) sent as a Bearer token.
      imageUrl:
        type: string
        description: HTTPS URL or data:image/...;base64,... payload for the image to analyze.
      visionModel:
        type: string
        description: Vision-language model id.
        default: meta/llama-3.2-90b-vision-instruct
      chatModel:
        type: string
        description: Text model id used to summarize the description.
        default: meta/llama-3.3-70b-instruct
  steps:
  - stepId: describeImage
    description: >-
      Ask the vision-language model to produce a detailed description of the
      image supplied as an image_url content part.
    operationId: createVisionChatCompletion
    parameters:
    - name: Authorization
      in: header
      value: Bearer $inputs.apiKey
    requestBody:
      contentType: application/json
      payload:
        model: $inputs.visionModel
        messages:
        - role: user
          content:
          - type: text
            text: Describe this image in detail, including objects, setting, and any visible text.
          - type: image_url
            image_url:
              url: $inputs.imageUrl
        max_tokens: 512
        temperature: 0.2
        stream: false
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      description: $response.body#/choices/0/message/content
      promptTokens: $response.body#/usage/prompt_tokens
  - stepId: summarizeDescription
    description: >-
      Condense the detailed image description into a single short caption using
      a text-only chat model.
    operationId: createChatCompletion
    parameters:
    - name: Authorization
      in: header
      value: Bearer $inputs.apiKey
    requestBody:
      contentType: application/json
      payload:
        model: $inputs.chatModel
        messages:
        - role: system
          content: Condense the provided image description into a single short caption of at most 15 words.
        - role: user
          content: $steps.describeImage.outputs.description
        max_tokens: 64
        temperature: 0.3
        stream: false
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      caption: $response.body#/choices/0/message/content
      finishReason: $response.body#/choices/0/finish_reason
  outputs:
    description: $steps.describeImage.outputs.description
    caption: $steps.summarizeDescription.outputs.caption

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