Turn any Python function into an AWS Lambda with a single decorator. Automatically deploys, updates, and tears down remote Lambdas — all from your local Python code.

• @lambda_yeet(...) decorator auto-deploys functions to AWS Lambda
• Detects code changes and re-uploads transparently
• Serializes complex Python functions using cloudpickle (globals, closures, etc.)
• Supports custom memory, timeout, and pip dependencies
• lambda_delete("function-name") removes deployed Lambda
• Uses uv for fast packaging and lightweight virtualenvs

uv venv
uv pip install -e .

Requires:

• Python 3.8+
• AWS credentials configured (via ~/.aws/credentials or environment variables)
• AWS Lambda + IAM permissions

from cloudyeet import lambda_yeet

@lambda_yeet("multiply-far-away")
def remote_multiply(x, y):
    return x * y

# Call it — executes in AWS Lambda!
print(remote_multiply(6, 7))  # ➜ 42

# Tear down the Lambda when you're done
lambda_delete("multiply-far-away")

Wrap your function with deployment metadata.

Arguments:

Tears down the corresponding Lambda function and clears local registry.

lambda_delete("multiply-far-away")

You need permission to:

• lambda:CreateFunction, lambda:UpdateFunctionCode, lambda:DeleteFunction
• iam:CreateRole, iam:AttachRolePolicy, etc.

The package will create a role named CloudYeetExecutionRole if it doesn’t exist yet.

1. Your function is serialized using cloudpickle
2. A small lambda_handler is generated that unpickles and runs it
3. Packaged using uv and deployed via boto3
4. When the wrapped function is called, the Lambda is invoked with args/kwargs

Functions are tracked by hash. When you change your function, it's re-uploaded. To manually delete:

lambda_delete("your-function-name")

cloudyeet/
├── cloudyeet/
│   ├── __init__.py
│   └── core.py
├── pyproject.toml
└── README.md

# Function that needs S3 access
@lambda_yeet(
    function_name="s3-processor",
    services=["s3"],
    timeout_sec=30
)
def process_s3_file(bucket: str, key: str):
    # Your function can now access S3
    pass

# Function that needs multiple services
@lambda_yeet(
    function_name="multi-service",
    services=["s3", "sqs", "dynamodb"],
    memory_mb=256
)
def complex_processor():
    # Function has access to S3, SQS, and DynamoDB
    pass

Apache 2. Yeet responsibly.