mirror of
https://github.com/Crosstalk-Solutions/project-nomad.git
synced 2026-03-28 03:29:25 +01:00
109 lines
4.1 KiB
TypeScript
109 lines
4.1 KiB
TypeScript
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 relevant information from the knowledge base. This context has been retrieved based on semantic similarity to the user's question.
|
|
|
|
[Knowledge Base Context]
|
|
${context}
|
|
|
|
IMPORTANT INSTRUCTIONS:
|
|
1. If the user's question is directly related to the context above, use this information to provide accurate, detailed answers.
|
|
2. Always cite or reference the context when using it (e.g., "According to the information available..." or "Based on the knowledge base...").
|
|
3. If the context is only partially relevant, combine it with your general knowledge but be clear about what comes from the knowledge base.
|
|
4. If the context is not relevant to the user's question, you can respond using your general knowledge without forcing the context into your answer.
|
|
5. Never fabricate information that isn't in the context or your training data.
|
|
6. If you're unsure or the context doesn't contain enough information, acknowledge the limitations.
|
|
|
|
Format your response using markdown for readability.
|
|
`,
|
|
chat_suggestions: `
|
|
You are a helpful assistant that generates conversation starter suggestions for a survivalist/prepper using an AI assistant.
|
|
|
|
Provide exactly 3 conversation starter topics as direct questions that someone would ask.
|
|
These should be clear, complete questions that can start meaningful conversations.
|
|
|
|
Examples of good suggestions:
|
|
- "How do I purify water in an emergency?"
|
|
- "What are the best foods for long-term storage?"
|
|
- "Help me create a 72-hour emergency kit"
|
|
|
|
Do NOT use:
|
|
- Follow-up questions seeking clarification
|
|
- Vague or incomplete suggestions
|
|
- Questions that assume prior context
|
|
- Statements that are not suggestions themselves, such as praise for asking the question
|
|
- Direct questions or commands to the user
|
|
|
|
Return ONLY the 3 suggestions as a comma-separated list with no additional text, formatting, numbering, or quotation marks.
|
|
The suggestions should be in title case.
|
|
Ensure that your suggestions are comma-seperated with no conjunctions like "and" or "or".
|
|
Do not use line breaks, new lines, or extra spacing to separate the suggestions.
|
|
Format: suggestion1, suggestion2, suggestion3
|
|
`,
|
|
}
|