ai-on-demand.yaml

name: AI On-Demand Assistant
on:
  issue_comment:
    types: [created]
  pull_request_review_comment:
    types: [created]
  pull_request_review:
    types: [submitted]
  issues:
    types: [opened]

jobs:
  ai-response:
    # Only run if the app is mentioned and it's not the app itself commenting
    if: |
      (
        (github.event_name == 'issue_comment' && contains(github.event.comment.body, '@efp-dev-ops')) ||
        (github.event_name == 'pull_request_review_comment' && contains(github.event.comment.body, '@efp-dev-ops')) ||
        (github.event_name == 'pull_request_review' && contains(github.event.review.body, '@efp-dev-ops')) ||
        (github.event_name == 'issues' && contains(github.event.issue.body, '@efp-dev-ops'))
      ) && contains(fromJSON(vars.AI_ALLOWED_USER_LIST), github.actor)
    runs-on: ubuntu-latest
    permissions:
      contents: read
      issues: write
      pull-requests: write

    steps:
      - name: Checkout Code
        uses: actions/checkout@v6
        with:
          fetch-depth: 1

      - name: Generate Custom App Token
        id: generate-token
        uses: actions/create-github-app-token@v1
        with:
          app-id: ${{ secrets.AI_APP_ID }}
          private-key: ${{ secrets.AI_PRIVATE_KEY }}

      - name: Extract Instruction from Comment
        id: extract-instruction
        env:
          ISSUE_COMMENT_BODY: ${{ github.event.comment.body }}
          PR_REVIEW_COMMENT_BODY: ${{ github.event.comment.body }}
          PR_REVIEW_BODY: ${{ github.event.review.body }}
          ISSUE_BODY: ${{ github.event.issue.body }}
        run: |
          # Get the comment body based on event type
          if [ "${{ github.event_name }}" = "issue_comment" ]; then
            COMMENT_BODY="$ISSUE_COMMENT_BODY"
          elif [ "${{ github.event_name }}" = "pull_request_review_comment" ]; then
            COMMENT_BODY="$PR_REVIEW_COMMENT_BODY"
          elif [ "${{ github.event_name }}" = "pull_request_review" ]; then
            COMMENT_BODY="$PR_REVIEW_BODY"
          elif [ "${{ github.event_name }}" = "issues" ]; then
            COMMENT_BODY="$ISSUE_BODY"
          else
            COMMENT_BODY=""
          fi

          # Remove the @mention and get the instruction
          INSTRUCTION=$(echo "$COMMENT_BODY" | sed 's/@efp-dev-ops[[:space:]]*//' | sed 's/^[[:space:]]*//')

          # Add input validation
          if [ ${#INSTRUCTION} -gt 4000 ]; then
            echo "Instruction too long, truncating..."
            INSTRUCTION=$(echo "$INSTRUCTION" | head -c 4000)
          fi

          # Set as output for next step
          echo "instruction<<EOF" >> $GITHUB_OUTPUT
          echo "$INSTRUCTION" >> $GITHUB_OUTPUT
          echo "EOF" >> $GITHUB_OUTPUT

          echo "Extracted instruction: $INSTRUCTION"

      - name: AI Response
        uses: 0xthrpw/claude-code-action@v0.0.1
        continue-on-error: true
        timeout-minutes: 10
        with:
          claude_code_oauth_token: ${{ secrets.AI_CLAUDE_CODE_OAUTH_TOKEN }}
          github_token: ${{ steps.generate-token.outputs.token }}
          direct_prompt: |
            You are an AI assistant for our development team. A team member has requested help with the following:

            **User Request:** ${{ steps.extract-instruction.outputs.instruction }}

            Please provide a helpful, accurate response. If the request involves code analysis, focus on the current repository context. If it's a general question, provide clear and actionable guidance.

            Keep your response concise but thorough, and format it nicely for GitHub comments.