import { NomadOllamaModel } from '../types/ollama.js'

/**
 * Fallback basic recommended Ollama models in case fetching from the service fails.
 */
export const FALLBACK_RECOMMENDED_OLLAMA_MODELS: NomadOllamaModel[] = [
  {
    name: 'llama3.1',
    description:
      'Llama 3.1 is a new state-of-the-art model from Meta available in 8B, 70B and 405B parameter sizes.',
    estimated_pulls: '109.3M',
    id: '9fe9c575-e77e-4a51-a743-07359458ee71',
    first_seen: '2026-01-28T23:37:31.000+00:00',
    model_last_updated: '1 year ago',
    tags: [
      {
        name: 'llama3.1:8b-text-q4_1',
        size: '5.1 GB',
        context: '128k',
        input: 'Text',
      },
    ],
  },
  {
    name: 'deepseek-r1',
    description:
      'DeepSeek-R1 is a family of open reasoning models with performance approaching that of leading models, such as O3 and Gemini 2.5 Pro.',
    estimated_pulls: '77.2M',
    id: '0b566560-68a6-4964-b0d4-beb3ab1ad694',
    first_seen: '2026-01-28T23:37:31.000+00:00',
    model_last_updated: '7 months ago',
    tags: [
      {
        name: 'deepseek-r1:1.5b',
        size: '1.1 GB',
        context: '128k',
        input: 'Text',
      },
    ],
  },
  {
    name: 'llama3.2',
    description: "Meta's Llama 3.2 goes small with 1B and 3B models.",
    estimated_pulls: '54.7M',
    id: 'c9a1bc23-b290-4501-a913-f7c9bb39c3ad',
    first_seen: '2026-01-28T23:37:31.000+00:00',
    model_last_updated: '1 year ago',
    tags: [
      {
        name: 'llama3.2:1b-text-q2_K',
        size: '581 MB',
        context: '128k',
        input: 'Text',
      },
    ],
  },
]

export const SYSTEM_PROMPTS = {
  default: `
 Format all responses using markdown for better readability. Vanilla markdown or GitHub-flavored markdown is preferred.
 - Use **bold** and *italic* for emphasis.
 - Use code blocks with language identifiers for code snippets.
 - Use headers (##, ###) to organize longer responses.
 - Use bullet points or numbered lists for clarity.
 - Use tables when presenting structured data.
`,
  rag_context: (context: string) => `
You have access to the following relevant information from the knowledge base. Use this context to provide accurate and informed responses when relevant:

[Context]
${context}

If the user's question is related to this context, incorporate it into your response. Otherwise, respond normally.
`,
}