> ## 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.
# Build Cache Optimized Context • AI Agent SDK
> build_cache_optimized_context: Build context with cache boundary markers for prompt prefix caching optimization.
# build\_cache\_optimized\_context
Method
> This is a method of the [**Memory**](../classes/Memory) class in the [**memory**](../modules/memory) module.
Build context with cache boundary markers for prompt prefix caching optimization.
Returns a dictionary with 'stable\_prefix' and 'cache\_boundary' keys.
The stable prefix contains deterministically ordered content that should
remain constant between turns for effective prompt caching.
## Signature
```python theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
def build_cache_optimized_context(task_descr: str, user_id: Optional[str], additional: str, max_items: int, include_cache_boundary: bool, include_in_output: Optional[bool]) -> Dict[str, str]
```
## Parameters
Task description for memory search
Optional user ID for personalized memory
Additional context to include in search
Maximum items per memory category
Whether to include cache boundary marker
Whether to include memory content in output
### Returns
Dict with 'stable\_prefix' and 'cache\_boundary' keys
## Uses
* `build_context_for_task`
## Used By
* [`Task.execute_callback`](../functions/Task-execute_callback)
## Source
`praisonaiagents/memory/memory.py` at line 1869
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## Related Documentation