package ollama

const (
	// CaptionPrompt instructs Ollama caption models to emit a single, active-voice sentence.
	CaptionPrompt = "Create a caption with exactly one sentence in the active voice that describes the main visual content. Begin with the main subject and clear action. Avoid text formatting, meta-language, and filler words."
	// CaptionModel names the default caption model bundled with our adapter defaults.
	CaptionModel = "gemma3"
	// LabelConfidenceDefault is used when the model omits the confidence field.
	LabelConfidenceDefault = 0.5
	// LabelSystem defines the system prompt shared by Ollama label models. It aims to ensure that single-word nouns are returned.
	LabelSystem = "You are a PhotoPrism vision model. Output concise JSON that matches the schema. Each label name MUST be a single-word noun in its canonical singular form. Avoid spaces, punctuation, emoji, or descriptive phrases."
	// LabelSystemSimple defines a simple system prompt for Ollama label models that does not strictly require names to be single-word nouns.
	LabelSystemSimple = "You are a PhotoPrism vision model. Output concise JSON that matches the schema."
	// LabelPromptDefault defines a simple user prompt for Ollama label models.
	LabelPromptDefault = "Analyze the image and return label objects with name, confidence (0-1), and topicality (0-1)."
	// LabelPromptStrict asks the model to return scored labels for the provided image. It aims to ensure that single-word nouns are returned.
	LabelPromptStrict = "Analyze the image and return label objects with name (single-word noun), confidence (0-1), and topicality (0-1). Respond with JSON exactly like {\"labels\":[{\"name\":\"sunset\",\"confidence\":0.72,\"topicality\":0.64}]} and adjust the values for this image."
	// LabelPromptNSFW asks the model to return scored labels for the provided image that includes a NSFW flag and score. It aims to ensure that single-word nouns are returned.
	LabelPromptNSFW = "Analyze the image and return label objects with name (single-word noun), confidence (0-1), topicality (0-1), nsfw (true when the label describes sensitive or adult content), and nsfw_confidence (0-1). Respond with JSON exactly like {\"labels\":[{\"name\":\"sunset\",\"confidence\":0.72,\"topicality\":0.64,\"nsfw\":false,\"nsfw_confidence\":0.02}]} and adjust the values for this image."
	// DefaultResolution is the default thumbnail size submitted to Ollama models.
	DefaultResolution = 720
)
