# AI model configurations — each model references a credential and provides
# the model string, optional openrouter routing (extra_body), and the prompt.
# ${OUTPUT_FORMAT} is injected by the plugin from its hardcoded schema constant.
# Override individual models in models.user.yaml.
models:
  vl_detect_shelves:
    credentials: openrouter
    model: "google/gemini-flash-1.5"
    prompt: |
      # ${OUTPUT_FORMAT} — JSON schema injected by BoundaryDetectorShelvesPlugin
      Look at this photo of a bookcase/shelf unit.
      Count the number of horizontal shelves visible.
      For each interior boundary between adjacent shelves, give its vertical position
      as a fraction 0-1 (0=top of image, 1=bottom). Do NOT include 0 or 1 themselves.
      Return ONLY valid JSON, no explanation:
      ${OUTPUT_FORMAT}

  vl_detect_books:
    credentials: openrouter
    model: "google/gemini-flash-1.5"
    prompt: |
      # ${OUTPUT_FORMAT} — JSON schema injected by BoundaryDetectorBooksPlugin
      Look at this shelf photo. Identify every book spine visible left-to-right.
      For each interior boundary between adjacent books, give its horizontal position
      as a fraction 0-1 (0=left edge of image, 1=right edge). Do NOT include 0 or 1.
      Return ONLY valid JSON, no explanation:
      ${OUTPUT_FORMAT}

  vl_recognize:
    credentials: openrouter
    model: "google/gemini-flash-1.5"
    prompt: |
      # ${OUTPUT_FORMAT} — JSON schema injected by TextRecognizerPlugin
      Look at this book spine image. Read all visible text exactly as it appears,
      preserving line breaks between distinct text blocks.
      Then use visual cues (font size, position, layout) to identify which part is the title,
      author, publisher, year, and any other notable text.
      Return ONLY valid JSON, no explanation:
      ${OUTPUT_FORMAT}

  ai_identify:
    credentials: openrouter
    model: "google/gemini-flash-1.5"
    prompt: |
      # ${RAW_TEXT}      — text read from the book spine (multi-line)
      # ${OUTPUT_FORMAT} — JSON schema injected by BookIdentifierPlugin
      The following text was read from a book spine:
      ${RAW_TEXT}
      Identify this book. Search for it if needed. Return ONLY valid JSON, no explanation:
      ${OUTPUT_FORMAT}