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

# optimize • AI Agent SDK

> optimize: Optimize messages to fit within target tokens.

# optimize

<div className="flex items-center gap-2">
  <Badge color="purple">Method</Badge>
</div>

> This is a method of the [**ContextOptimizer**](../classes/ContextOptimizer) class in the [**models**](../modules/models) module.

Optimize messages to fit within target tokens.

## Signature

```python theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
def optimize(messages: List[Dict[str, Any]], target_tokens: int, ledger: ContextLedger) -> tuple[List[Dict[str, Any]], OptimizationResult]
```

## Parameters

<ParamField query="messages" type="List" required={true}>
  No description available.
</ParamField>

<ParamField query="target_tokens" type="int" required={true}>
  No description available.
</ParamField>

<ParamField query="ledger" type="ContextLedger" required={true}>
  No description available.
</ParamField>

### Returns

<ResponseField name="Returns" type="tuple[List[Dict[str, Any]], OptimizationResult]">
  The result of the operation.
</ResponseField>

## Source

<Card title="View on GitHub" icon="github" href="https://github.com/MervinPraison/PraisonAI/blob/main/src/praisonai-agents/praisonaiagents/context/models.py#L460">
  `praisonaiagents/context/models.py` at line 460
</Card>
