* Add static typing classes

* Ease the development by leveraging your IDE's type hints

* Avoid common typing mistakes in Python


???+ tip

All examples shared in this documentation are available within the [project repository](https://github.com/awslabs/aws-lambda-powertools-python/tree/develop/examples){target="_blank"}.

We provide static typing for any context methods or properties implemented by [Lambda context object](https://docs.aws.amazon.com/lambda/latest/dg/python-context.html){target="_blank"}.

=== "getting_started_validator_decorator_function.py"

```python hl_lines="1 4"

--8<-- "examples/typing/src/getting_started_typing_function.py"

```

Using `LambdaContext` typing makes it possible to access information and hints of all properties and methods implemented by Lambda context object.

=== "working_with_context_function.py"

```python hl_lines="6 16 25 26"

--8<-- "examples/typing/src/working_with_context_function.py"

```



from aws_lambda_powertools.utilities.typing import LambdaContext

def handler(event: dict, context: LambdaContext) -> dict:

# Insert business logic

return event

from time import sleep

import requests

from aws_lambda_powertools import Logger

from aws_lambda_powertools.utilities.typing import LambdaContext

logger = Logger()

def lambda_handler(event, context: LambdaContext) -> dict:

limit_execution: int = 1000 # milliseconds

# scrape website and exit before lambda timeout

while context.get_remaining_time_in_millis() > limit_execution:

comments: requests.Response = requests.get("https://jsonplaceholder.typicode.com/comments")

# add logic here and save the results of the request to an S3 bucket, for example.

logger.info(

{

"operation": "scrape_website",

"request_id": context.aws_request_id,

"remaining_time": context.get_remaining_time_in_millis(),

"comments": comments.json()[:2],

}

)

sleep(1)

return {"message": "Success"}