Prompt Configuration

Customize extraction and summarization prompts

Custom Prompts

GetProfile uses LLM prompts for extraction and summarization. You can customize these by providing your own prompt files.

{
  "prompts": {
    "extractionPath": "./config/prompts/extraction.md",
    "traitExtractionPath": "./config/prompts/trait-extraction.md",
    "summarizationPath": "./config/prompts/summarization.md"
  }
}

Memory Extraction Prompt

Used to extract facts, preferences, and context from conversations.

Template Variables

Variable	Description
{{conversation}}	The conversation to analyze

Default Prompt

# Memory Extraction Prompt

You are a memory extraction assistant. Your job is to analyze 
conversations and extract important facts, preferences, and 
context about the user.

## Instructions

Given the following conversation, extract:
1. **Facts**: Concrete information (name, job, location, etc.)
2. **Preferences**: Things the user likes, dislikes, or prefers
3. **Events**: Notable events or experiences mentioned
4. **Context**: Situational information for ongoing conversations

## Rules
- Only extract information explicitly stated or strongly implied
- Each memory should be self-contained and understandable
- Assign importance (0.0-1.0) based on likely future relevance
- Do not extract information about the AI assistant

## Output Format
Return a JSON array:
\`\`\`json
[
  {
    "content": "User works as a software engineer at a startup",
    "type": "fact",
    "importance": 0.8
  }
]
\`\`\`

## Conversation
{{conversation}}

Trait Extraction Prompt

Used to extract structured traits based on your schema.

Template Variables

Variable	Description
{{trait_schema}}	Your trait schema definitions
{{current_traits}}	User’s existing traits
{{conversation}}	The conversation to analyze

Default Prompt

# Trait Extraction Prompt

You are a user profiling assistant. Extract and update 
structured traits based on conversations.

## Available Traits
{{trait_schema}}

## Current User Profile
{{current_traits}}

## Instructions
Determine if any traits should be:
- **Created**: New trait not previously known
- **Updated**: Existing trait needs revision
- **Deleted**: Previous trait is contradicted

## Rules
- Only update traits with sufficient evidence
- Provide confidence score (0.0-1.0)
- Higher confidence for explicit statements
- If unsure, prefer not updating

## Output Format
\`\`\`json
[
  {
    "key": "expertise_level",
    "value": "advanced",
    "confidence": 0.75,
    "action": "update",
    "reason": "Used technical terminology"
  }
]
\`\`\`

## Conversation
{{conversation}}

Summarization Prompt

Used to generate natural language profile summaries.

Template Variables

Variable	Description
{{traits}}	User’s traits
{{memories}}	Recent memories

Default Prompt

# Profile Summarization Prompt

Create a concise summary of a user based on their traits 
and memories.

## User Traits
{{traits}}

## Recent Memories
{{memories}}

## Instructions
Write a 2-3 sentence summary describing who this user is. 
Include:
- Key identifying information (if known)
- Communication preferences
- Relevant context for conversations

## Rules
- Be concise (100-200 tokens max)
- Write naturally, as if describing to a colleague
- Focus on conversation-relevant information
- Do not include speculative information

## Output
Write the summary directly, no JSON formatting.

Best Practices

Be Specific

Give clear extraction hints in promptSnippet for better trait extraction.

Set Thresholds

Use appropriate confidenceThreshold values—higher for critical traits.

Test Prompts

Test your custom prompts with sample conversations before deploying.

Iterate

Monitor extraction quality and refine prompts based on results.