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

# Configure LLM Options

> Optimize your agent's language model settings for reliability, performance, and cost.

LLM configuration options let you fine-tune how your agent processes and responds to conversations. Different settings can significantly impact behavior, reliability, and cost.

<Note>
  Not all options are available for every model. Check your dashboard for model-specific capabilities.
</Note>

## Temperature

Temperature controls the randomness and creativity of your agent's responses — a value between 0 and 1 that affects how the model selects its next words.

| Range     | Behavior                           | Best for                                             |
| --------- | ---------------------------------- | ---------------------------------------------------- |
| 0.0 – 0.3 | Highly consistent, deterministic   | Function calling, data collection, technical support |
| 0.4 – 0.7 | Balanced consistency and variation | General customer service, sales calls                |
| 0.8 – 1.0 | Creative, varied responses         | Creative brainstorming, casual conversation          |

**Recommendations by use case:**

| Use case            | Recommended temperature |
| ------------------- | ----------------------- |
| Appointment booking | 0.1 – 0.3               |
| Customer support    | 0.3 – 0.5               |
| Sales outreach      | 0.5 – 0.7               |
| Virtual companion   | 0.7 – 0.9               |

## Structured Output

Structured Output ensures LLM responses strictly follow predefined schemas — particularly important for reliable function calling. When enabled, the model is constrained to output only valid function calls with all required parameters.

**Benefits:**

* Eliminates missing or malformed function arguments
* Prevents invalid function calls from being attempted
* Ensures all outputs match expected schemas

**Trade-offs:**

* Schema caching may delay agent configuration saves
* Model cannot deviate from defined structures
* First load after changes may be slower

<CardGroup cols={2}>
  <Card title="Enable when">
    - Production agents with critical function calls
    - Agents handling financial or medical data
    - Integration with strict API requirements
  </Card>

  <Card title="Consider disabling when">
    * Development and testing phases
    * Agents with simple or flexible function needs
    * Rapid iteration is more important than reliability
  </Card>
</CardGroup>

## Fast Tier

Fast Tier routes LLM calls through dedicated, high-priority infrastructure for superior performance and consistency. It eliminates latency variability you might experience with standard routing.

**Key benefits:**

* Consistent, predictable response times on every call
* Priority access to compute resources
* Minimal fluctuation in processing speeds
* Smoother, more natural conversations

<Warning>
  Fast Tier is priced at 1.5× the standard rate for your selected model. Calculate the ROI for your use case before enabling.
</Warning>

<CardGroup cols={2}>
  <Card title="Ideal for">
    * High-value customer interactions
    * Time-sensitive operations (emergency services, urgent support)
    * Premium service tiers
    * Demos and sales calls
  </Card>

  <Card title="May not be necessary for">
    * Internal testing
    * Low-volume or non-critical calls
    * Cost-sensitive applications
  </Card>
</CardGroup>