import boto3 import os agentcore_client = boto3.client( 'bedrock-agentcore-control', region_name=os.getenv('AWS_REGION', 'us-west-2'), endpoint_url=os.getenv('ENDPOINT_URL') ) lambda_target_config = { "mcp": { "lambda": { "lambdaArn": os.getenv('LAMBDA_ARN'), "toolSchema": { "inlinePayload": [ { "name": "slow_query", "description": "Identifies and analyzes the slowest queries in your database using pg_stat_statements. Provide the environment (dev/prod) to analyze slow queries. Use action_type default value as slow_query.", "inputSchema": { "type": "object", "properties": { "environment": { "type": "string" }, "action_type": { "type": "string", "description": "The type of action to perform. Use 'slow_query' for this tool." } }, "required": ["environment","action_type"] } }, { "name": "conn_issues", "description": "Detects and analyzes database connection issues such as idle connections, connection leaks, and connection pool problems. Provide the environment (dev/prod) to analyze. Use action_type default value as connection_management_issues.", "inputSchema": { "type": "object", "properties": { "environment": { "type": "string" }, "action_type": { "type": "string", "description": "The type of action to perform. Use 'connection_management_issues' for this tool." } }, "required": ["environment","action_type"] } }, { "name": "index_analysis", "description": "Evaluates database index usage, identifies missing or unused indexes, and provides optimization recommendations. Provide the environment (dev/prod) to analyze indexes. Use action_type default value as index_analysis.", "inputSchema": { "type": "object", "properties": { "environment": { "type": "string" }, "action_type": { "type": "string", "description": "The type of action to perform. Use 'index_analysis' for this tool." } }, "required": ["environment","action_type"] } }, { "name": "autovacuum_analysis", "description": "Examines PostgreSQL autovacuum performance, dead tuple accumulation, and provides configuration recommendations. Provide the environment (dev/prod) to analyze autovacuum settings. Use action_type default value as autovacuum_analysis.", "inputSchema": { "type": "object", "properties": { "environment": { "type": "string" }, "action_type": { "type": "string", "description": "The type of action to perform. Use 'autovacuum_analysis' for this tool." } }, "required": ["environment","action_type"] } }, { "name": "io_analysis", "description": "Analyzes database I/O patterns, buffer usage, and checkpoint activity to identify performance bottlenecks. Provide the environment (dev/prod) to analyze I/O performance. Use action_type default value as io_analysis.", "inputSchema": { "type": "object", "properties": { "environment": { "type": "string" }, "action_type": { "type": "string", "description": "The type of action to perform. Use 'io_analysis' for this tool." } }, "required": ["environment","action_type"] } }, { "name": "replication_analysis", "description": "Monitors PostgreSQL replication status, lag, and health to ensure high availability. Provide the environment (dev/prod) to analyze replication performance. Use action_type default value as replication_analysis.", "inputSchema": { "type": "object", "properties": { "environment": { "type": "string" }, "action_type": { "type": "string", "description": "The type of action to perform. Use 'replication_analysis' for this tool." } }, "required": ["environment","action_type"] } }, { "name": "system_health", "description": "Provides a comprehensive health check of your PostgreSQL database including cache hit ratios, deadlocks, and long-running transactions. Provide the environment (dev/prod) to analyze system health. Use action_type default value as system_health.", "inputSchema": { "type": "object", "properties": { "environment": { "type": "string" }, "action_type": { "type": "string", "description": "The type of action to perform. Use 'system_health' for this tool." } }, "required": ["environment","action_type"] } } ] } } } } credential_config = [ { "credentialProviderType" : "GATEWAY_IAM_ROLE" } ] response = agentcore_client.create_gateway_target( gatewayIdentifier=os.getenv('GATEWAY_IDENTIFIER'), # Replace with your GatewayID name=os.getenv('TARGET_NAME','pgstat-analyze-db'), description=os.getenv('TARGET_DESCRIPTION', 'PostgreSQL database performance analyzer for slow queries, connection issues, I/O bottlenecks, index usage, autovacuum, replication, and system health'), credentialProviderConfigurations=credential_config, targetConfiguration=lambda_target_config) print(f"Target ID: {response['targetId']}")