<?php

return [

    /*
    |--------------------------------------------------------------------------
    | Ollama API URL
    |--------------------------------------------------------------------------
    |
    | The base URL for your local Ollama API instance. By default, Ollama
    | runs on localhost:11434. Update this if running on a different host.
    |
    */

    'api_url' => env('OLLAMA_API_URL', 'http://localhost:11434'),

    /*
    |--------------------------------------------------------------------------
    | Default Model
    |--------------------------------------------------------------------------
    |
    | The default Ollama model to use for generating summaries. Popular
    | options include: llama3, llama2, mistral, mixtral, phi, gemma.
    | Make sure the model is pulled: ollama pull <model_name>
    |
    */

    'model' => env('OLLAMA_MODEL', 'llama3'),

    /*
    |--------------------------------------------------------------------------
    | Request Timeout
    |--------------------------------------------------------------------------
    |
    | Maximum time in seconds to wait for a response from Ollama.
    | Summary generation can take several minutes for long texts.
    |
    */

    'timeout' => env('OLLAMA_TIMEOUT', 300),

    /*
    |--------------------------------------------------------------------------
    | Maximum Tokens
    |--------------------------------------------------------------------------
    |
    | Maximum number of tokens to send to the model. Most models have
    | context limits (e.g., 4096, 8192, 32768). Adjust based on your model.
    |
    */

    'max_tokens' => env('OLLAMA_MAX_TOKENS', 4000),

    /*
    |--------------------------------------------------------------------------
    | Temperature
    |--------------------------------------------------------------------------
    |
    | Controls randomness in generation. Lower values (0.1-0.5) are more
    | deterministic and factual. Higher values (0.7-1.0) are more creative.
    | For summaries, a lower temperature is recommended.
    |
    */

    'temperature' => env('OLLAMA_TEMPERATURE', 0.3),

    /*
    |--------------------------------------------------------------------------
    | Retry Configuration
    |--------------------------------------------------------------------------
    |
    | Configuration for retrying failed Ollama API requests.
    | - max_attempts: Maximum number of retry attempts
    | - backoff_multiplier: Multiplier for exponential backoff (in seconds)
    |
    */

    'retry' => [
        'max_attempts' => env('OLLAMA_RETRY_MAX_ATTEMPTS', 3),
        'backoff_multiplier' => env('OLLAMA_RETRY_BACKOFF', 5),
    ],

    /*
    |--------------------------------------------------------------------------
    | Text Extraction
    |--------------------------------------------------------------------------
    |
    | Configuration for extracting representative excerpts from books.
    | - max_length: Maximum character length of text to send to Ollama
    | - strategy: 'beginning', 'middle', 'end', or 'distributed'
    |
    */

    'text_extraction' => [
        'max_length' => env('OLLAMA_TEXT_MAX_LENGTH', 50000),
        'strategy' => env('OLLAMA_TEXT_STRATEGY', 'beginning'),
    ],

    /*
    |--------------------------------------------------------------------------
    | Prompt Templates
    |--------------------------------------------------------------------------
    |
    | Templates for prompts sent to Ollama. Available placeholders:
    | {title}, {author}, {text}, {summary}
    |
    */

    'prompts' => [
        'summary' => env('OLLAMA_PROMPT_SUMMARY',
            "You are a literary expert tasked with creating comprehensive book summaries. " .
            "Analyze the following excerpt from \"{title}\" by {author} and provide a detailed, " .
            "engaging summary that captures the main themes, key points, and overall significance " .
            "of the work. Focus on what makes this book important and valuable to readers. " .
            "Keep the summary between 400-600 words.\n\n" .
            "Book excerpt:\n{text}\n\n" .
            "Summary:"
        ),

        'key_insights' => env('OLLAMA_PROMPT_INSIGHTS',
            "Based on the following book summary, extract 5-7 key insights, lessons, or takeaways " .
            "that readers should remember. Format your response as a concise bullet list with each " .
            "insight on its own line, starting with a dash (-).\n\n" .
            "Book: \"{title}\" by {author}\n\n" .
            "Summary:\n{summary}\n\n" .
            "Key Insights:"
        ),

        'categorize' => env('OLLAMA_PROMPT_CATEGORIZE',
            "Based on the following book information, suggest the most appropriate category " .
            "from this list: Fiction, Non-Fiction, Science Fiction, Fantasy, Mystery, Romance, " .
            "Historical Fiction, Biography, History, Philosophy, Science, Technology, Business, " .
            "Self-Help, Poetry, Drama, Children. Respond with ONLY the category name.\n\n" .
            "Book: \"{title}\" by {author}\n" .
            "Description: {description}\n\n" .
            "Category:"
        ),
    ],

    /*
    |--------------------------------------------------------------------------
    | Summary Quality Checks
    |--------------------------------------------------------------------------
    |
    | Minimum quality thresholds for generated summaries.
    | Summaries below these thresholds will be marked for review.
    |
    */

    'quality_checks' => [
        'min_word_count' => env('OLLAMA_MIN_WORD_COUNT', 100),
        'max_word_count' => env('OLLAMA_MAX_WORD_COUNT', 1000),
        'min_sentence_count' => env('OLLAMA_MIN_SENTENCE_COUNT', 5),
    ],

    /*
    |--------------------------------------------------------------------------
    | Model Options
    |--------------------------------------------------------------------------
    |
    | Additional options to pass to the Ollama API.
    | See: https://github.com/ollama/ollama/blob/main/docs/modelfile.md#valid-parameters-and-values
    |
    */

    'options' => [
        'num_predict' => env('OLLAMA_NUM_PREDICT', 1000), // Max tokens to generate
        'top_k' => env('OLLAMA_TOP_K', 40),
        'top_p' => env('OLLAMA_TOP_P', 0.9),
        'repeat_penalty' => env('OLLAMA_REPEAT_PENALTY', 1.1),
    ],

];