# Performance optimization
<a name="gateway-advanced-performance"></a>

To optimize the performance of your Gateway implementations, consider the following best practices:

 **Minimize tool latency**   
The overall latency of your gateway is largely determined by the latency of the underlying tools. To minimize latency:  
+ Use Lambda functions in the same region as your gateway
+ Optimize your Lambda functions for fast cold starts
+ Use provisioned concurrency for Lambda functions that require low latency
+ Ensure that REST APIs have low latency and high availability

 **Use efficient tool schemas**   
Well-designed tool schemas can improve the performance of your gateway:  
+ Keep schemas as simple as possible
+ Use appropriate data types for parameters
+ Include clear descriptions for parameters to help agents use the tools correctly
+ Use required fields to ensure that agents provide necessary parameters

 **Enable semantic search**   
Semantic search helps agents find the right tools for their tasks, improving the overall performance of your agent-gateway interactions. Enable semantic search when creating your gateway:  

```
import boto3

# Initialize the AgentCore control client
client = boto3.client('bedrock-agentcore-control', region_name="us-west-2")

# Create a gateway with semantic search enabled
gateway = client.create_gateway(
    name="semantic-search-gateway",
    description="A gateway with semantic search enabled",
    protocolConfiguration={
        "mcp": {
            "searchType": "SEMANTIC"
        }
    }
)
```

 **Monitor and optimize**   
Use the observability features described in the previous section to monitor the performance of your gateway and identify opportunities for optimization:  
+ Set up CloudWatch alarms for key metrics
+ Analyze logs to identify patterns and issues
+ Regularly review performance metrics and make adjustments as needed