Hyperbolic Sentiment Classification to Slack Alert

arazzo: 1.0.1
info:
  title: Hyperbolic Sentiment Classification to Slack Alert
  summary: Classify feedback sentiment with Hyperbolic, then alert a Slack channel.
  description: >-
    A cross-provider AI enrichment chain that classifies the sentiment of a
    customer-feedback message with Hyperbolic AI and posts an alert into a Slack
    channel. Demonstrates AI-driven sentiment routing into a team chat across two
    providers in one Arazzo workflow.
  version: 1.0.0
sourceDescriptions:
  - name: hyperbolicApi
    url: https://raw.githubusercontent.com/api-evangelist/hyperbolic-ai/refs/heads/main/openapi/hyperbolic-chat-completions-api-openapi.yml
    type: openapi
  - name: slackApi
    url: https://raw.githubusercontent.com/api-evangelist/slack/refs/heads/main/openapi/slack-chat-openapi.yml
    type: openapi
workflows:
  - workflowId: classify-and-alert
    summary: Classify sentiment with Hyperbolic and alert Slack.
    description: >-
      Asks Hyperbolic to classify the sentiment of feedback, captures the label,
      and posts an alert with the label to the target Slack channel.
    inputs:
      type: object
      properties:
        feedback:
          type: string
        model:
          type: string
        channel:
          type: string
    steps:
      - stepId: classify-sentiment
        description: Ask Hyperbolic to classify the feedback sentiment.
        operationId: $sourceDescriptions.hyperbolicApi.createChatCompletion
        requestBody:
          contentType: application/json
          payload:
            model: $inputs.model
            messages:
              - role: user
                content: "Classify the sentiment of this feedback as positive, neutral, or negative. Reply with only the label. Feedback: $inputs.feedback"
        successCriteria:
          - condition: $statusCode == 200
        outputs:
          sentiment: $response.body#/choices/0/message/content
      - stepId: alert-slack
        description: Post a sentiment alert to the target Slack channel.
        operationId: $sourceDescriptions.slackApi.postChatPostmessage
        requestBody:
          contentType: application/x-www-form-urlencoded
          payload:
            channel: $inputs.channel
            text: "New feedback classified as $steps.classify-sentiment.outputs.sentiment: $inputs.feedback"
        successCriteria:
          - condition: $statusCode == 200
        outputs:
          messageTs: $response.body#/ts
    outputs:
      sentiment: $steps.classify-sentiment.outputs.sentiment
      messageTs: $steps.alert-slack.outputs.messageTs