id: agent-text-summarizer
namespace: company.ai

inputs:
  - id: summary_length
    displayName: Summary Length
    type: SELECT
    defaults: medium
    values:
      - short
      - medium
      - long

  - id: language
    displayName: Language ISO code
    type: SELECT
    defaults: en
    values:
      - en
      - fr
      - de
      - es
      - it
      - ru
      - ja

  - id: text
    type: STRING
    displayName: Text to summarize
    defaults: |
      Kestra is an open-source orchestration platform that:
      - Allows you to define workflows declaratively in YAML
      - Allows non-developers to automate tasks with a no-code interface
      - Keeps everything versioned and governed, so it stays secure and auditable
      - Extends easily for custom use cases through plugins and custom scripts.
      Kestra follows a "start simple and grow as needed" philosophy. You can schedule a basic workflow in a few minutes, then later add Python scripts, Docker containers, or complicated branching logic if the situation calls for it.

tasks:
  - id: multilingual_agent
    type: io.kestra.plugin.ai.agent.AIAgent
    systemMessage: |
      You are a precise technical assistant.
      Produce a {{ inputs.summary_length }} summary in {{ inputs.language }}.
      Keep it factual, remove fluff, and avoid marketing language.
      If the input is empty or non-text, return a one-sentence explanation.
      Output format:
      - 1-2 sentences for 'short'
      - 2-5 sentences for 'medium'
      - Up to 5 paragraphs for 'long'
    prompt: |
      Summarize the following content: {{ inputs.text }}

  - id: english_brevity
    type: io.kestra.plugin.ai.agent.AIAgent
    prompt: Generate exactly 1 sentence English summary of "{{
      outputs.multilingual_agent.textOutput }}"

pluginDefaults:
  - type: io.kestra.plugin.ai.agent.AIAgent
    values:
      provider:
        type: io.kestra.plugin.ai.provider.GoogleGemini
        modelName: gemini-2.5-flash
        apiKey: "{{ kv('GEMINI_API_KEY') }}"
        configuration:
          logRequests: true
          logResponses: true
          responseFormat:
            type: TEXT