feat: add per-execution lambda endpoint support

src/aws_durable_execution_sdk_python_testing/executor.py

@@ -106,6 +106,7 @@ def start_execution(
                 trace_fields=input.trace_fields,
                 tenant_id=input.tenant_id,
                 input=input.input,
+                lambda_endpoint=input.lambda_endpoint,
             )
 
         execution = Execution.new(input=input)

src/aws_durable_execution_sdk_python_testing/invoker.py

@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 import json
+from threading import Lock
 from typing import TYPE_CHECKING, Any, Protocol
 
 import boto3  # type: ignore
@@ -108,21 +109,68 @@ def update_endpoint(self, endpoint_url: str, region_name: str) -> None:
 class LambdaInvoker(Invoker):
     def __init__(self, lambda_client: Any) -> None:
         self.lambda_client = lambda_client
+        # Maps execution_arn -> endpoint for that execution
+        # Maps endpoint -> client to reuse clients across executions
+        self._execution_endpoints: dict[str, str] = {}
+        self._endpoint_clients: dict[str, Any] = {}
+        self._current_endpoint: str = ""  # Track current endpoint for new executions
+        self._lock = Lock()
 
     @staticmethod
     def create(endpoint_url: str, region_name: str) -> LambdaInvoker:
         """Create with the boto lambda client."""
-        return LambdaInvoker(
+        invoker = LambdaInvoker(
             boto3.client(
                 "lambdainternal", endpoint_url=endpoint_url, region_name=region_name
             )
         )
+        invoker._current_endpoint = endpoint_url
+        invoker._endpoint_clients[endpoint_url] = invoker.lambda_client
+        return invoker
 
     def update_endpoint(self, endpoint_url: str, region_name: str) -> None:
         """Update the Lambda client endpoint."""
-        self.lambda_client = boto3.client(
-            "lambdainternal", endpoint_url=endpoint_url, region_name=region_name
-        )
+        # Cache client by endpoint to reuse across executions
+        with self._lock:
+            if endpoint_url not in self._endpoint_clients:
+                self._endpoint_clients[endpoint_url] = boto3.client(
+                    "lambdainternal", endpoint_url=endpoint_url, region_name=region_name
+                )
+            self.lambda_client = self._endpoint_clients[endpoint_url]
+        self._current_endpoint = endpoint_url
+
+    def _get_client_for_execution(
+        self, durable_execution_arn: str, lambda_endpoint: str | None = None
+    ) -> Any:
+        """Get the appropriate client for this execution."""
+        # Use provided endpoint or fall back to cached endpoint for this execution
+        if lambda_endpoint:
+            # Client should already exist from update_endpoint() call
+            if lambda_endpoint not in self._endpoint_clients:
+                from aws_durable_execution_sdk_python_testing.exceptions import (
+                    ServiceException,
+                )
+
+                raise ServiceException(
+                    f"Lambda endpoint {lambda_endpoint} not configured. update_endpoint() must be called first."
+                )
+            return self._endpoint_clients[lambda_endpoint]
+
+        # Fallback to cached endpoint
+        if durable_execution_arn not in self._execution_endpoints:
+            with self._lock:
+                if durable_execution_arn not in self._execution_endpoints:
+                    self._execution_endpoints[durable_execution_arn] = (
+                        self._current_endpoint
+                    )
+
+        endpoint = self._execution_endpoints[durable_execution_arn]
+
+        # If no endpoint configured, fall back to default client
+        if not endpoint:
+            return self.lambda_client
+
+        return self._endpoint_clients[endpoint]
 
     def create_invocation_input(
         self, execution: Execution
@@ -165,9 +213,12 @@ def invoke(
             msg = "Function name is required"
             raise InvalidParameterValueException(msg)
 
+        # Get the client for this execution
+        client = self._get_client_for_execution(input.durable_execution_arn)
+
         try:
             # Invoke AWS Lambda function using standard invoke method
-            response = self.lambda_client.invoke(
+            response = client.invoke(
                 FunctionName=function_name,
                 InvocationType="RequestResponse",  # Synchronous invocation
                 Payload=json.dumps(input.to_dict(), default=str),
@@ -192,49 +243,49 @@ def invoke(
             # Convert to DurableExecutionInvocationOutput
             return DurableExecutionInvocationOutput.from_dict(response_dict)
 
-        except self.lambda_client.exceptions.ResourceNotFoundException as e:
+        except client.exceptions.ResourceNotFoundException as e:
             msg = f"Function not found: {function_name}"
             raise ResourceNotFoundException(msg) from e
-        except self.lambda_client.exceptions.InvalidParameterValueException as e:
+        except client.exceptions.InvalidParameterValueException as e:
             msg = f"Invalid parameter: {e}"
             raise InvalidParameterValueException(msg) from e
         except (
-            self.lambda_client.exceptions.TooManyRequestsException,
-            self.lambda_client.exceptions.ServiceException,
-            self.lambda_client.exceptions.ResourceConflictException,
-            self.lambda_client.exceptions.InvalidRequestContentException,
-            self.lambda_client.exceptions.RequestTooLargeException,
-            self.lambda_client.exceptions.UnsupportedMediaTypeException,
-            self.lambda_client.exceptions.InvalidRuntimeException,
-            self.lambda_client.exceptions.InvalidZipFileException,
-            self.lambda_client.exceptions.ResourceNotReadyException,
-            self.lambda_client.exceptions.SnapStartTimeoutException,
-            self.lambda_client.exceptions.SnapStartNotReadyException,
-            self.lambda_client.exceptions.SnapStartException,
-            self.lambda_client.exceptions.RecursiveInvocationException,
+            client.exceptions.TooManyRequestsException,
+            client.exceptions.ServiceException,
+            client.exceptions.ResourceConflictException,
+            client.exceptions.InvalidRequestContentException,
+            client.exceptions.RequestTooLargeException,
+            client.exceptions.UnsupportedMediaTypeException,
+            client.exceptions.InvalidRuntimeException,
+            client.exceptions.InvalidZipFileException,
+            client.exceptions.ResourceNotReadyException,
+            client.exceptions.SnapStartTimeoutException,
+            client.exceptions.SnapStartNotReadyException,
+            client.exceptions.SnapStartException,
+            client.exceptions.RecursiveInvocationException,
         ) as e:
             msg = f"Lambda invocation failed: {e}"
             raise DurableFunctionsTestError(msg) from e
         except (
-            self.lambda_client.exceptions.InvalidSecurityGroupIDException,
-            self.lambda_client.exceptions.EC2ThrottledException,
-            self.lambda_client.exceptions.EFSMountConnectivityException,
-            self.lambda_client.exceptions.SubnetIPAddressLimitReachedException,
-            self.lambda_client.exceptions.EC2UnexpectedException,
-            self.lambda_client.exceptions.InvalidSubnetIDException,
-            self.lambda_client.exceptions.EC2AccessDeniedException,
-            self.lambda_client.exceptions.EFSIOException,
-            self.lambda_client.exceptions.ENILimitReachedException,
-            self.lambda_client.exceptions.EFSMountTimeoutException,
-            self.lambda_client.exceptions.EFSMountFailureException,
+            client.exceptions.InvalidSecurityGroupIDException,
+            client.exceptions.EC2ThrottledException,
+            client.exceptions.EFSMountConnectivityException,
+            client.exceptions.SubnetIPAddressLimitReachedException,
+            client.exceptions.EC2UnexpectedException,
+            client.exceptions.InvalidSubnetIDException,
+            client.exceptions.EC2AccessDeniedException,
+            client.exceptions.EFSIOException,
+            client.exceptions.ENILimitReachedException,
+            client.exceptions.EFSMountTimeoutException,
+            client.exceptions.EFSMountFailureException,
         ) as e:
             msg = f"Lambda infrastructure error: {e}"
             raise DurableFunctionsTestError(msg) from e
         except (
-            self.lambda_client.exceptions.KMSAccessDeniedException,
-            self.lambda_client.exceptions.KMSDisabledException,
-            self.lambda_client.exceptions.KMSNotFoundException,
-            self.lambda_client.exceptions.KMSInvalidStateException,
+            client.exceptions.KMSAccessDeniedException,
+            client.exceptions.KMSDisabledException,
+            client.exceptions.KMSNotFoundException,
+            client.exceptions.KMSInvalidStateException,
         ) as e:
             msg = f"Lambda KMS error: {e}"
             raise DurableFunctionsTestError(msg) from e

src/aws_durable_execution_sdk_python_testing/model.py

@@ -117,6 +117,7 @@ class StartDurableExecutionInput:
     trace_fields: dict | None = None
     tenant_id: str | None = None
     input: str | None = None
+    lambda_endpoint: str | None = None  # Endpoint for this specific execution
 
     @classmethod
     def from_dict(cls, data: dict) -> StartDurableExecutionInput:
@@ -146,6 +147,7 @@ def from_dict(cls, data: dict) -> StartDurableExecutionInput:
             trace_fields=data.get("TraceFields"),
             tenant_id=data.get("TenantId"),
             input=data.get("Input"),
+            lambda_endpoint=data.get("LambdaEndpoint", None),
         )
 
     def to_dict(self) -> dict[str, Any]:
@@ -165,6 +167,8 @@ def to_dict(self) -> dict[str, Any]:
             result["TenantId"] = self.tenant_id
         if self.input is not None:
             result["Input"] = self.input
+        if self.lambda_endpoint is not None:
+            result["LambdaEndpoint"] = self.lambda_endpoint
         return result
 
     def get_normalized_input(self):