New serverless pattern - appsync websockets with lambda and bedrock #2773
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
This AI chat application works through a simple request-response flow. A client sends a GraphQL mutation to the AWS AppSync API endpoint. AWS AppSync then routes the request to the AWS Lambda function via the configured data source and resolver. The AWS Lambda function receives the user's input message, then constructs a properly formatted request for Amazon Bedrock's Claude model (including the Anthropic API version, token limit, and user message). This is then sent to Amazon Bedrock using the AWS SDK, waits for the AI response, and returns the generated text back to AWS AppSync. AWS AppSync then delivers this response to the client, while the subscription feature enables real-time notifications to connected clients when new responses are available, creating an interactive chat experience where users can send messages and receive AI-generated replies in real-time.
By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.