example_pipelineworkflow.yaml

name: ai_enhanced_content_pipeline
steps:
  - !Command
    name: generate_story
    command: |
      fluent openai '' <<'EOF'
      'Write a short story about a robot learning to ${input}}.'
      EOF
    save_output: raw_story

  - !PrintOutput
    name: display_raw_story
    value: "Generated Story: ${raw_story}"

  - !ShellCommand
    name: extract_theme
    command: |
      fluent openai-mini '' <<'EOF'
      'Extract the main theme from this story in 5 words or less: ${raw_story}'
      EOF
    save_output: theme

  - !Map
    name: generate_illustrations
    input: "introduction,climax,conclusion"
    command: |
      fluent dalleVertical '' --download-media ~/Downloads <<'EOF'
      'Create an image for the ${ITEM} of a story about ${theme}'
      EOF
    save_output: illustrations

  - !HumanInTheLoop
    name: get_user_feedback
    prompt: "Rate the story and illustrations from 1-10:"
    save_output: user_rating

  - !Condition
    name: check_rating
    condition: "[ ${user_rating} -ge 8 ]"
    if_true: fluent openai 'The story was well-received. Suggest three ways to expand it into a longer narrative.'
    if_false: fluent openai 'The story needs improvement. Provide three specific suggestions to enhance it.'

  - !RepeatUntil
    name: refine_story
    steps:
      - !ShellCommand
        name: improve_story
        command: |
          fluent openai '' <<'EOF'
          Rewrite this story, making it more engaging: ${raw_story}
          EOF
        save_output: raw_story
      - !ShellCommand
        name: get_new_rating
        command: |
          fluent openai-mini '' <<'EOF'
          'Rate this story out of 10: ${raw_story}, only output a number.'
          EOF
        save_output: user_rating
    condition: "[ ${user_rating} -ge 8 ]"

  - !PrintOutput
    name: final_output
    value: |
      Final Story: ${raw_story}
      Theme: ${theme}
      User Rating: ${user_rating}
      Illustrations: ${illustrations}