diff --git a/lambda-durable-invoke-lambda-sam-python/README.md b/lambda-durable-invoke-lambda-sam-python/README.md
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+# Lambda durable functions invoking AWS Lambda function (Python)
+
+This pattern demonstrates how an AWS Lambda durable function can invoke a standard AWS Lambda function using `context.invoke()` from the durable execution SDK. The invocation is automatically checkpointed, so if the durable function is interrupted after the invoked function completes, it resumes with the stored result without re-invoking the target function.
+
+Learn more about this pattern at Serverless Land Patterns: [https://serverlessland.com/patterns/lambda-durable-invoke-lambda-sam-python](https://serverlessland.com/patterns/lambda-durable-invoke-lambda-sam-python)
+
+Important: this application uses various AWS services and there are costs associated with these services after the Free Tier usage - please see the [AWS Pricing page](https://aws.amazon.com/pricing/) for details. You are responsible for any AWS costs incurred. No warranty is implied in this example.
+
+## Requirements
+
+* [Create an AWS account](https://portal.aws.amazon.com/gp/aws/developer/registration/index.html) if you do not already have one and log in. The IAM user that you use must have sufficient permissions to make necessary AWS service calls and manage AWS resources.
+* [AWS CLI](https://docs.aws.amazon.com/cli/latest/userguide/install-cliv2.html) installed and configured
+* [Git Installed](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git)
+* [AWS Serverless Application Model](https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/serverless-sam-cli-install.html) (AWS SAM) installed
+* Python 3.14
+
+## Deployment Instructions
+
+1. Create a new directory, navigate to that directory in a terminal and clone the GitHub repository:
+    ```
+    git clone https://github.com/aws-samples/serverless-patterns
+    ```
+1. Change directory to the pattern directory:
+    ```
+    cd lambda-durable-invoke-lambda-sam-python
+    ```
+1. From the command line, use AWS SAM to build and deploy the AWS resources for the pattern as specified in the template.yaml file:
+    ```
+    sam build
+    sam deploy --guided
+    ```
+1. During the prompts:
+    * Enter a stack name
+    * Enter the desired AWS Region (durable functions are available in supported regions)
+    * Allow SAM CLI to create IAM roles with the required permissions.
+
+    Once you have run `sam deploy --guided` mode once and saved arguments to a configuration file (samconfig.toml), you can use `sam deploy` in future to use these defaults.
+
+1. Note the outputs from the SAM deployment process. These contain the resource names and/or ARNs which are used for testing.
+
+## How it works
+
+This pattern deploys two Lambda functions:
+
+1. **DurableLambdaFunction** - A durable Lambda function that orchestrates the workflow. It uses the `@durable_execution` decorator and performs two checkpointed operations:
+   - A `@durable_step` that prepares and validates input values.
+   - A `context.invoke()` call that invokes the ProcessorFunction and waits for its result.
+
+2. **ProcessorFunction** - A standard Lambda function that receives a list of numeric values and returns computed statistics (sum, average, max, min).
+
+The AWS Lambda durable function uses automatic checkpointing. Each step and invoke operation creates a checkpoint. If the function is interrupted (e.g., due to a transient failure), it replays from the beginning but skips completed checkpoints, resuming execution from where it left off.
+
+
+## Testing
+
+1. After deployment, invoke the durable function using the alias ARN from the stack outputs:
+
+    ```bash
+    aws lambda invoke \
+      --function-name <DurableLambdaFunctionAliasArn> \
+      --payload '{"values": [10, 20, 30, 40, 50]}' \
+      --cli-binary-format raw-in-base64-out \
+      output.json
+    ```
+
+2. Check the response:
+
+    ```bash
+    cat output.json
+    ```
+
+    Expected output:
+    ```json
+    {"statusCode": 200, "body": "{\"message\": \"Durable orchestration completed successfully\", \"input_values\": [10, 20, 30, 40, 50], \"processing_result\": {\"operation\": \"sum_and_average\", \"count\": 5, \"sum\": 150, \"average\": 30.0, \"max\": 50, \"min\": 10}}"}
+    ```
+
+3. Monitor the durable execution steps in the Lambda console under the **Durable executions** tab of the DurableLambdaFunction.
+
+## Cleanup
+
+1. Delete the stack
+    ```bash
+    sam delete
+    ```
+
+----
+Copyright 2026 Amazon.com, Inc. or its affiliates. All Rights Reserved.
+
+SPDX-License-Identifier: MIT-0
diff --git a/lambda-durable-invoke-lambda-sam-python/example-pattern.json b/lambda-durable-invoke-lambda-sam-python/example-pattern.json
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index 000000000..431cbc0dd
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+{
+  "title": "AWS Lambda durable function invoking an AWS Lambda Function",
+  "description": "Lambda durable function invokes a standard Lambda function using context.invoke() with automatic checkpointing.",
+  "language": "Python",
+  "level": "200",
+  "framework": "SAM",
+  "introBox": {
+    "headline": "How it works",
+    "text": [
+      "This pattern deploys an AWS Lambda durable function and a standard AWS Lambda function. The durable function uses the durable execution SDK to orchestrate a workflow that prepares input data in a checkpointed step and then invokes the standard Lambda function using context.invoke().",
+      "The context.invoke() call creates a checkpoint so that if the durable function is interrupted after the invoked function completes, it resumes with the stored result without re-invoking the processor function.",
+      "This pattern deploys two Lambda functions with the required IAM permissions for durable execution and cross-function invocation."
+    ]
+  },
+  "gitHub": {
+    "template": {
+      "repoURL": "https://github.com/aws-samples/serverless-patterns/tree/main/lambda-durable-invoke-lambda-sam-python",
+      "templateURL": "serverless-patterns/lambda-durable-invoke-lambda-sam-python",
+      "projectFolder": "lambda-durable-invoke-lambda-sam-python",
+      "templateFile": "template.yaml"
+    }
+  },
+  "resources": {
+    "bullets": [
+      {
+        "text": "AWS Lambda durable functions",
+        "link": "https://docs.aws.amazon.com/lambda/latest/dg/durable-functions.html"
+      },
+      {
+        "text": "Durable execution SDK for Python",
+        "link": "https://github.com/aws/aws-durable-execution-sdk-python"
+      },
+      {
+        "text": "Chained invocations across functions",
+        "link": "https://docs.aws.amazon.com/lambda/latest/dg/durable-examples.html"
+      }
+    ]
+  },
+  "deploy": {
+    "text": [
+      "sam build",
+      "sam deploy --guided"
+    ]
+  },
+  "testing": {
+    "text": [
+      "See the GitHub repo for detailed testing instructions."
+    ]
+  },
+  "cleanup": {
+    "text": [
+      "Delete the stack: <code>sam delete</code>."
+    ]
+  },
+  "authors":  [
+    {
+      "name": "Sidharth Kothari",
+      "image": "https://drive.google.com/file/d/1sUXFJLHYuCmadcu4Q7mhb0mBnWfTcrtT/view",
+      "bio": "Cloud Engineer II at AWS with expertise in serverless, GenAI, event-driven and microservice-based applications",
+      "linkedin": "sidharthkothari"
+    }
+  ]
+}
diff --git a/lambda-durable-invoke-lambda-sam-python/lambda-durable-invoke-lambda-sam-python.json b/lambda-durable-invoke-lambda-sam-python/lambda-durable-invoke-lambda-sam-python.json
new file mode 100644
index 000000000..9a00b0503
--- /dev/null
+++ b/lambda-durable-invoke-lambda-sam-python/lambda-durable-invoke-lambda-sam-python.json
@@ -0,0 +1,92 @@
+{
+  "title": "AWS Lambda durable function invoking an AWS Lambda Function",
+  "description": "Lambda durable function invokes a standard Lambda function using context.invoke() with automatic checkpointing.",
+  "language": "Python",
+  "level": "200",
+  "framework": "AWS SAM",
+  "introBox": {
+    "headline": "How it works",
+    "text": [
+      "This pattern deploys an AWS Lambda durable function and a standard AWS Lambda function. The durable function uses the durable execution SDK to orchestrate a workflow that prepares input data in a checkpointed step and then invokes the standard Lambda function using context.invoke().",
+      "The context.invoke() call creates a checkpoint so that if the durable function is interrupted after the invoked function completes, it resumes with the stored result without re-invoking the processor function.",
+      "This pattern deploys two Lambda functions with the required IAM permissions for durable execution and cross-function invocation."
+    ]
+  },
+  "gitHub": {
+    "template": {
+      "repoURL": "https://github.com/aws-samples/serverless-patterns/tree/main/lambda-durable-invoke-lambda-sam-python",
+      "templateURL": "serverless-patterns/lambda-durable-invoke-lambda-sam-python",
+      "projectFolder": "lambda-durable-invoke-lambda-sam-python",
+      "templateFile": "template.yaml"
+    }
+  },
+  "services": {
+    "from": {
+      "serviceName": "AWS Lambda",
+      "serviceURL": "/lambda/"
+    },
+    "to": {
+      "serviceName": "AWS Lambda",
+      "serviceURL": "/lambda/"
+    }
+  },
+  "patternArch": {
+    "icon1": {
+      "x": 20,
+      "y": 50,
+      "service": "lambda",
+      "label": "Lambda durable function"
+    },
+    "icon2": {
+      "x": 80,
+      "y": 50,
+      "service": "lambda",
+      "label": "Lambda function"
+    },
+    "line1": {
+      "from": "icon1",
+      "to": "icon2"
+    }
+  },
+  "resources": {
+    "bullets": [
+      {
+        "text": "AWS Lambda durable functions",
+        "link": "https://docs.aws.amazon.com/lambda/latest/dg/durable-functions.html"
+      },
+      {
+        "text": "Durable execution SDK for Python",
+        "link": "https://github.com/aws/aws-durable-execution-sdk-python"
+      },
+      {
+        "text": "Chained invocations across functions",
+        "link": "https://docs.aws.amazon.com/lambda/latest/dg/durable-examples.html"
+      }
+    ]
+  },
+  "deploy": {
+    "text": [
+      "sam build",
+      "sam deploy --guided"
+    ]
+  },
+  "testing": {
+    "text": [
+      "See the GitHub repo for detailed testing instructions."
+    ]
+  },
+  "cleanup": {
+    "text": [
+      "Delete the stack: <code>sam delete</code>."
+    ]
+  },
+  "authors": [
+    {
+      "name": "Sidharth Kothari",
+      "image": "https://drive.google.com/file/d/1sUXFJLHYuCmadcu4Q7mhb0mBnWfTcrtT/view",
+      "bio": "Cloud Engineer II at AWS with expertise in serverless, GenAI, event-driven and microservice-based applications",
+      "linkedin": "sidharthkothari"
+    }
+  ],
+  "patternType": "Serverless"
+}
diff --git a/lambda-durable-invoke-lambda-sam-python/src/durable_lambda_function.py b/lambda-durable-invoke-lambda-sam-python/src/durable_lambda_function.py
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index 000000000..2c2832e4c
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+++ b/lambda-durable-invoke-lambda-sam-python/src/durable_lambda_function.py
@@ -0,0 +1,50 @@
+import json
+import os
+from aws_durable_execution_sdk_python import (
+    DurableContext,
+    StepContext,
+    durable_execution,
+    durable_step,
+)
+
+PROCESSOR_FUNCTION_NAME = os.environ["PROCESSOR_FUNCTION_NAME"]
+
+
+@durable_step
+def prepare_input(step_ctx: StepContext, raw_values: list) -> dict:
+    """Prepare and validate input values before invoking the processor function."""
+    step_ctx.logger.info("Preparing input values for processing")
+    return {
+        "values": raw_values,
+        "operation": "sum_and_average",
+    }
+
+
+@durable_execution
+def lambda_handler(event: dict, context: DurableContext) -> dict:
+    """Durable function that orchestrates processing by invoking another Lambda."""
+    raw_values = event.get("values", [10, 20, 30, 40, 50])
+    context.logger.info("Starting durable orchestration", extra={"values": raw_values})
+
+    # Step 1: Prepare the input (checkpointed)
+    prepared = context.step(prepare_input(raw_values), name="prepare_input")
+
+    # Step 2: Invoke the processor Lambda function (checkpointed)
+    # If the durable function is interrupted after this completes,
+    # it resumes with the stored result without re-invoking the processor.
+    result = context.invoke(
+        function_name=PROCESSOR_FUNCTION_NAME,
+        payload=prepared,
+        name="invoke_processor",
+    )
+
+    context.logger.info("Processing complete", extra={"result": result})
+
+    return {
+        "statusCode": 200,
+        "body": json.dumps({
+            "message": "Durable orchestration completed successfully",
+            "input_values": raw_values,
+            "processing_result": result,
+        }),
+    }
diff --git a/lambda-durable-invoke-lambda-sam-python/src/processor_function.py b/lambda-durable-invoke-lambda-sam-python/src/processor_function.py
new file mode 100644
index 000000000..b35d0ee6c
--- /dev/null
+++ b/lambda-durable-invoke-lambda-sam-python/src/processor_function.py
@@ -0,0 +1,21 @@
+def lambda_handler(event, context):
+    """Standard Lambda function that processes sample values."""
+    values = event.get("values", [])
+    operation = event.get("operation", "sum_and_average")
+
+    if not values:
+        return {"error": "No values provided"}
+
+    total = sum(values)
+    average = total / len(values)
+    maximum = max(values)
+    minimum = min(values)
+
+    return {
+        "operation": operation,
+        "count": len(values),
+        "sum": total,
+        "average": average,
+        "max": maximum,
+        "min": minimum,
+    }
diff --git a/lambda-durable-invoke-lambda-sam-python/src/requirements.txt b/lambda-durable-invoke-lambda-sam-python/src/requirements.txt
new file mode 100644
index 000000000..7b359a340
--- /dev/null
+++ b/lambda-durable-invoke-lambda-sam-python/src/requirements.txt
@@ -0,0 +1 @@
+aws-durable-execution-sdk-python==1.3.0
diff --git a/lambda-durable-invoke-lambda-sam-python/template.yaml b/lambda-durable-invoke-lambda-sam-python/template.yaml
new file mode 100644
index 000000000..9a4e35cfa
--- /dev/null
+++ b/lambda-durable-invoke-lambda-sam-python/template.yaml
@@ -0,0 +1,51 @@
+AWSTemplateFormatVersion: '2010-09-09'
+Transform: AWS::Serverless-2016-10-31
+Description: >
+  Serverless pattern - Lambda durable function invoking another AWS Lambda function (Python).
+  Demonstrates how a Lambda durable function can use context.invoke() to call a standard
+  Lambda function as a checkpointed step in its workflow.
+
+Globals:
+  Function:
+    Timeout: 30
+    MemorySize: 128
+
+Resources:
+  # Standard AWS Lambda function that processes sample values
+  ProcessorFunction:
+    Type: AWS::Serverless::Function
+    Properties:
+      Handler: processor_function.lambda_handler
+      Runtime: python3.14
+      CodeUri: src/
+
+  # Lambda durable function that orchestrates the workflow
+  DurableLambdaFunction:
+    Type: AWS::Serverless::Function
+    Properties:
+      Handler: durable_lambda_function.lambda_handler
+      Runtime: python3.14
+      CodeUri: src/
+      Timeout: 600
+      DurableConfig:
+        ExecutionTimeout: 600
+        RetentionPeriodInDays: 7
+      AutoPublishAlias: live
+      Environment:
+        Variables:
+          PROCESSOR_FUNCTION_NAME: !Ref ProcessorFunction
+      Policies:
+        - arn:aws:iam::aws:policy/service-role/AWSLambdaBasicDurableExecutionRolePolicy
+        - LambdaInvokePolicy:
+            FunctionName: !Ref ProcessorFunction
+
+Outputs:
+  DurableLambdaFunctionArn:
+    Description: ARN of Lambda durable function
+    Value: !GetAtt DurableLambdaFunction.Arn
+  DurableLambdaFunctionAliasArn:
+    Description: Alias ARN of the Lambda durable function (use this for invocations)
+    Value: !Ref DurableLambdaFunction.Alias
+  ProcessorFunctionArn:
+    Description: ARN of the processor Lambda function
+    Value: !GetAtt ProcessorFunction.Arn