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

# Configuring Agents

> Advanced configuration options for your AI agents

# Configuring Agents

**Fine-tune your agent's behavior with advanced settings.**

## Core Configuration Options

### System Prompt

The most important configuration—defines your agent's behavior, personality, and capabilities.

**Structure:**

```
[Who the agent is]
You are a [role] for [company/purpose].

[What the agent does]
Your responsibilities include:
- [Task 1]
- [Task 2]
- [Task 3]

[How the agent should behave]
Your style:
- [Personality trait 1]
- [Personality trait 2]
- [Constraint or guideline]

[What the agent knows]
You have access to:
- [Knowledge source 1]
- [Knowledge source 2]
```

**Example:**

```
You are a senior customer success manager for TechCo SaaS.

Your responsibilities include:
- Answering product questions
- Troubleshooting technical issues
- Guiding users to documentation
- Escalating billing questions to finance team

Your style:
- Professional yet friendly
- Patient with non-technical users
- Clear, concise explanations
- Always follow up with "Is there anything else I can help with?"

You have access to:
- Product documentation
- Common troubleshooting guides
- Feature comparison charts
```

### Temperature

Controls response randomness (creativity vs consistency).

**Scale: 0.0 to 1.0**

* **0.0-0.2**: Deterministic, focused (code, data extraction)
* **0.3-0.5**: Balanced, reliable (most use cases)
* **0.6-0.8**: Creative, varied (content writing)
* **0.9-1.0**: Highly creative, unpredictable (brainstorming)

### Max Tokens

Maximum length of responses.

* **500-1000**: Short, concise answers
* **1000-2000**: Standard responses (default)
* **2000-4000**: Detailed explanations
* **4000+**: Long-form content

<Tip>
  Lower max tokens = faster responses and lower costs
</Tip>

### Context Window

How much conversation history the agent remembers.

* **Small (4K)**: Fast, cheap, recent context only
* **Medium (16K)**: Balanced for most conversations
* **Large (128K-200K)**: Entire conversation history

## Advanced Options

<AccordionGroup>
  <Accordion title="Stop Sequences" icon="stop">
    Text that signals the agent to stop generating.

    Example: `---END---` to end responses cleanly
  </Accordion>

  <Accordion title="Frequency Penalty" icon="minus-circle">
    Reduces repetition (0.0-2.0).

    * 0.0: No penalty
    * 1.0: Moderate reduction
    * 2.0: Strong reduction
  </Accordion>

  <Accordion title="Presence Penalty" icon="sparkles">
    Encourages topic diversity (0.0-2.0).

    Higher values = more topic variety
  </Accordion>

  <Accordion title="Top P" icon="percentage">
    Alternative to temperature for randomness.

    * 0.1: Very focused
    * 0.9: More diverse (default)
  </Accordion>
</AccordionGroup>

## Configuration Recipes

### Technical Support Agent

```yaml theme={null}
Model: GPT-3.5 Turbo
Temperature: 0.3
Max Tokens: 1500
Context: 16K
Frequency Penalty: 0.5
Presence Penalty: 0.3
```

### Creative Content Writer

```yaml theme={null}
Model: Claude 3 Opus
Temperature: 0.8
Max Tokens: 3000
Context: 128K
Frequency Penalty: 0.2
Presence Penalty: 0.6
```

### Code Assistant

```yaml theme={null}
Model: GPT-4
Temperature: 0.2
Max Tokens: 2000
Context: 128K
Frequency Penalty: 0.0
Presence Penalty: 0.0
```

### Research Analyst

```yaml theme={null}
Model: Claude 3 Sonnet
Temperature: 0.4
Max Tokens: 4000
Context: 200K
Frequency Penalty: 0.3
Presence Penalty: 0.4
```

## Knowledge Base

Add information your agent can reference:

<Tabs>
  <Tab title="Upload Files">
    * PDFs, DOCX, TXT, MD
    * Product documentation
    * Policy guides
    * FAQ documents
    * Max 50MB total
  </Tab>

  <Tab title="Connect Data">
    * API integrations
    * Database connections
    * Knowledge bases
    * CRM systems (Enterprise)
  </Tab>

  <Tab title="Web Search">
    * Real-time internet access
    * Search and cite sources
    * Up-to-date information
    * (Addon feature)
  </Tab>
</Tabs>

## Testing Your Configuration

1. **Test with varied inputs** - Try different question types
2. **Check edge cases** - What happens with unusual inputs?
3. **Verify tone** - Does it match your brand?
4. **Review accuracy** - Are responses factually correct?
5. **Monitor costs** - Track token usage

<Warning>
  Always test configuration changes before deploying to production!
</Warning>

## Configuration Best Practices

✅ **Do:**

* Start with defaults and adjust incrementally
* Document why you chose specific settings
* Test thoroughly before deploying
* Monitor performance and iterate

❌ **Don't:**

* Set temperature to extremes without testing
* Ignore token costs
* Skip testing edge cases
* Change too many settings at once

<Card title="Next: Test Your Agent" href="/agents/testing-agents">
  Learn how to properly test your configured agent
</Card>