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Copy file name to clipboardExpand all lines: apigw-lambda-bedrock-js-sam/README.md
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# Amazon API Gateway to AWS Lambda to Amazon Bedrock using AWS SDK for JS and SAM
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This sample project deploys an Amazon API Gateway REST API with an AWS Lambda integration. The Lambda function is written in TypeScript, calls the Amazon Bedrock API for Anthropic Claude-v2 model and returns a response containing the generated content.
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This sample project deploys an Amazon API Gateway REST API with an AWS Lambda integration. The Lambda function is written in TypeScript, calls the Amazon Bedrock API for Anthropic Claude Sonnet 4.5 model and returns a response containing the generated content.
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Learn more about this pattern at Serverless Land Patterns: https://serverlessland.com/patterns/apigw-lambda-bedrock-js-sam
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## How it works
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This SAM project uses Amazon Bedrock API for Anthropic Claude-v2 model to generate content based on given prompt. This is exposed through a serverless REST API. Please refer to the architecture diagram below:
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This SAM project uses Amazon Bedrock API for Anthropic Claude Sonnet 4.5 model to generate content based on given prompt. This is exposed through a serverless REST API. Please refer to the architecture diagram below:
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Here's a breakdown of the steps:
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1. **Amazon API Gateway**: Receives the HTTP POST request containing the prompt.
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2. **AWS Lambda**: Triggered by the API Gateway, this functionforwards the prompt to Amazon Bedrock API using boto3 bedrock-runtime API. It uses Anthropic Claude-v2 model and sets other required parameters to fixed values for simplicity.
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2. **AWS Lambda**: Triggered by the API Gateway, this functionforwards the prompt to Amazon Bedrock API using boto3 bedrock-runtime API. It uses Anthropic Claude Sonnet 4.5 model and sets other required parameters to fixed values for simplicity.
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3. **Amazon Bedrock**: Based on the given prompt, using Anthropic Claude-v2 model generates the content and returns the response to Lambda.
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3. **Amazon Bedrock**: Based on the given prompt, using Anthropic Claude Sonnet 4.5 model generates the content and returns the response to Lambda.
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4. **Response**: Lambda processes the Bedrock output and sends it back to the user via the API Gateway.
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The API returns a response with generated content. Such as (Your output may vary):
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```
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"{\"completion\":\" Here are a few key things about Amazon Web Services (AWS):\\n\\n- AWS is a cloud computing platform that provides services like compute power, storage, databases, analytics, etc on demand over the internet. It operates data centers around the world that customers can access.\\n\\n- Some of the most popular AWS services are EC2 (virtual servers), S3 (cloud storage), Lambda (serverless computing), CloudFront (content delivery network), Route 53 (DNS service), and many more. \\n\\n- AWS was first launched in 2006 and has grown to be the largest cloud provider in the world. Many big companies like Netflix, Airbnb, Expedia rely on AWS for their infrastructure.\\n\\n- Customers pay only for the services they use without any upfront costs. This makes AWS attractive for startups and companies that want flexibility and don't want to manage their own hardware.\\n\\n- AWS offers high availability, scalability, security and reliability at a fraction of the\",\"stop_reason\":\"max_tokens\",\"stop\":null}"
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{"model":"claude-sonnet-4-5-20250929","id":"msg_bdrk_01S1Rn7gPy3cdRt9aFWf255a","type":"message","role":"assistant","content":[{"type":"text","text":"# Five Facts About Solar Systems\n\n1. **Our Solar System** formed approximately 4.6 billion years ago from a giant rotating cloud of gas and dust called the solar nebula.\n\n2. **The Sun** contains 99.8% of the Solar System's total mass and provides the gravitational force that keeps all planets in orbit.\n\n3. **Eight planets** orbit our Sun in elliptical paths, divided into rocky terrestrial planets (Mercury, Venus, Earth, Mars) and gas/ice giants (Jupiter, Saturn, Uranus, Neptune).\n\n4. **Beyond Neptune** lies the Kuiper Belt, home to dwarf planets like Pluto and countless icy bodies left over from the Solar System's formation.\n\n5. **Scientists estimate** there are billions of other solar systems in our Milky Way galaxy alone, many potentially harboring planets in habitable zones."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":16,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":192}}
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```
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## Cleanup
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1. To delete the resources deployed to your AWS account via AWS SAM, run the following command:
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```bash
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sam delete
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```
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2. Delete the Lambda layer version using the `delete_lambda_layer.sh` script. You may have to give execution permission to the file. You will need to pass the Lambda layer name and the version in the inpout when requested:
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2. Delete the Lambda layer version using the `delete_lambda_layer.sh` script. You may have to give execution permission to the file. You will need to pass the Lambda layer name and the version in the input when requested:
Copy file name to clipboardExpand all lines: apigw-lambda-bedrock-js-sam/example-pattern.json
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"headline": "How it works",
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"text": [
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"Amazon API Gateway receives the HTTP POST request containing a text which will is taken as a prompt.",
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"AWS Lambda is triggered by the API Gateway, this function forwards the prompt to Amazon Bedrock API using AWS SDK for javascript bedrock-runtime API. It uses Anthropic Claude-v2 model and sets other required parameters to fixed values for simplicity.",
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"Based on the given prompt, using Anthropic Claude-v2 model, Amazon Bedrock generates the content and returns the response to Lambda.",
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"AWS Lambda is triggered by the API Gateway, this function forwards the prompt to Amazon Bedrock API using AWS SDK for javascript bedrock-runtime API. It uses Anthropic Claude Sonnet 4.5 model and sets other required parameters to fixed values for simplicity.",
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"Based on the given prompt, using Anthropic Claude Sonnet 4.5 model, Amazon Bedrock generates the content and returns the response to Lambda.",
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"Lambda processes the Bedrock output and sends it back to the user via the API Gateway."
Copy file name to clipboardExpand all lines: apigw-lambda-dsql/README.md
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Amazon Aurora DSQL is the fastest serverless, distributed SQL database with active-active high availability and multi-Region strong consistency. Aurora DSQL enables you to build always available applications with virtually unlimited scalability, the highest availability, and zero infrastructure management. It is designed to make scaling and resilience effortless for your applications and offers the fastest distributed SQL reads and writes.
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This pattern deploys a API Gateway REST API, Lambda function and an Aurora DSQL PostgreSQL cluster.
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This pattern deploys a API Gateway REST API, Lambda function and an Aurora DSQL PostgreSQL cluster. The Lambda function uses Aurora DSQL Connectors for Python that simplify IAM authorization for customers using standard PostgreSQL drivers to connect to Aurora DSQL clusters.
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Learn more about this pattern at [Serverless Land Patterns](https://serverlessland.com/patterns/apigw-lambda-dsql)
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