In Java, we can implement RequestHandler and override method handleRequest(paremeters).This way, you can pass the input to the Lambda handle request.

For Python, you can take a look at below examples from AWS Docs: https://docs.aws.amazon.com/lambda/latest/dg/python-handler.html

In short(as per AWS Docs), The Lambda function handler is the method in your function code that processes events. When your function is invoked, Lambda runs the handler method. When the handler exits or returns a response, it becomes available to handle another event.

Hope this helps.

Answer from Avinash Akella on Stack Overflow
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Amazon Web Services
docs.aws.amazon.com › aws lambda › developer guide › aws lambda functions › programming languages › building lambda functions with node.js › define lambda function handler in node.js
Define Lambda function handler in Node.js - AWS Lambda
This page describes how to work with Lambda function handlers in Node.js, including options for project setup, naming conventions, and best practices. This page also includes an example of a Node.js Lambda function that takes in information about an order, produces a text file receipt, and ...
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GeeksforGeeks
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July 23, 2025 - In this ecosystem, Lambda Handler becomes important. This handler acts as the gateway to the Lambda function, orchestrating the flow and defining the function's behavior when it occurs.
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docs.aws.amazon.com › aws lambda › developer guide › aws lambda functions › programming languages › building lambda functions with java › define lambda function handler in java
Define Lambda function handler in Java - AWS Lambda
This page describes how to work with Lambda function handlers in Java, including options for project setup, naming conventions, and best practices. This page also includes an example of a Java Lambda function that takes in information about an order, produces a text file receipt, and puts this ...
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aws-lambda-for-python-developers.readthedocs.io › en › latest › 02_event_and_context
Chapter 2: What is the event & context? - AWS Lambda for Python Developers
The handler function is the starting point of your code. It's the python function that is executed when your lambda function runs.
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Medium
medium.com › @vigneshdayalan › decoding-lambda-handler-architecture-how-aws-lambda-functions-work-f9fd71ee75df
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October 28, 2023 - Duration — Duration signifies the time taken to execute the code specifically within the lambda_handler. It reflects the core computation time of your Lambda function. This duration is present in both cold and warm starts, as it’s related to the execution of your Lambda’s business logic. Provisioned Concurrency: To mitigate cold starts for concurrent executions, AWS offers the option to configure provisioned concurrency.
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dashbird.io › home › knowledge base › aws lambda › anatomy of a lambda function
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docs.aws.amazon.com › aws lambda › developer guide › aws lambda functions › how lambda works
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Function handlers are the entry point for event objects that your Lambda function code processes. Lambda execution environment and runtimes - Lambda execution environments manage the resources required to run your function. Runtimes are the language-specific environments your functions run in. Events and triggers - Other AWS ...
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Now, as an example, let's pick user: 'admin' and srcip: '208.xx.yy.1'. Here is the Lambda script: 'use strict'; var AWS = require('aws-sdk'); exports.handler = function(event, context, callback) { let body = JSON.parse(event.body); var usr = body.data.rawlog.user; var sourceip = body.data.rawlog.srcip; // Write your automation scripts below ·
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TrustEd Institute
trustedinstitute.com › concept › aws-developer-associate › development-with-aws-services › lambda-runtime-handler-configuration
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AWS Lambda runtime and handler configuration are fundamental concepts for deploying serverless functions on AWS. The runtime defines the programming language environment in which your Lambda function executes, while the handler specifies the entry point for your code.
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2 weeks ago - from deepagents import create_deep_agent from deepagents.backends import StoreBackend from langgraph.store.memory import InMemoryStore agent = create_deep_agent( model="anthropic:claude-sonnet-5", backend=StoreBackend( namespace=lambda rt: (rt.server_info.user.identity,), ), store=InMemoryStore(), # Good for local dev; omit for LangSmith Deployment )
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AWS Builder Center
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