> ## Documentation Index
> Fetch the complete documentation index at: https://docs.getprofile.org/llms.txt
> Use this file to discover all available pages before exploring further.

# 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.

```json theme={null}
{
  "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

```markdown theme={null}
# 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

```markdown theme={null}
# 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

```markdown theme={null}
# 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

<CardGroup cols={2}>
  <Card title="Be Specific" icon="bullseye">
    Give clear extraction hints in `promptSnippet` for better trait extraction.
  </Card>

  <Card title="Set Thresholds" icon="sliders">
    Use appropriate `confidenceThreshold` values—higher for critical traits.
  </Card>

  <Card title="Test Prompts" icon="flask">
    Test your custom prompts with sample conversations before deploying.
  </Card>

  <Card title="Iterate" icon="arrows-rotate">
    Monitor extraction quality and refine prompts based on results.
  </Card>
</CardGroup>