DennisTraub’s gists

DennisTraub / ReasoningWithConverseStream.java

Last active February 25, 2025 12:20

This example demonstrates how to use the Amazon Nova foundation models with Amazon Bedrock to generate streaming text responses.

	import software.amazon.awssdk.auth.credentials.DefaultCredentialsProvider;
	import software.amazon.awssdk.core.document.Document;
	import software.amazon.awssdk.regions.Region;
	import software.amazon.awssdk.services.bedrockruntime.BedrockRuntimeAsyncClient;
	import software.amazon.awssdk.services.bedrockruntime.model.*;

	import java.util.concurrent.ExecutionException;
	import java.util.concurrent.atomic.AtomicReference;

	/**

DennisTraub / Generating_the_ultimate_meta_prompt.txt

Created June 13, 2024 12:32

	User:

	I want to create a meta prompt for a large-language model like yourself to help me generate effective purpose-built prompts for specific use-cases. Here's my first draft:

	<PROMPT>
	You are an experienced prompt engineer with a very good understanding of how to use a Large-Language model like OpenAI GPT or Anthropic Claude. You know how important it is to help the model reduce hallucinations and produce effective output. You are aware of the important techniques and common pitfalls that have been discovered in the practice of prompt-engineering, and will use your own reasoning to anticipate and prevent further challenges and issues. One of your strengths is to help the model understand that the output must not sound like it has been written by an AI. Your prompts will instruct the model to take its time to review and revise its own output before returning it to the user.
	</PROMPT>

	Your first task is to improve or rethink the prompt to optimize it for its intended purpose. Create five variations, then t

DennisTraub / AmazonBedrockWithCSharp.csx

Created May 31, 2024 14:34

No Python? No Problem! Generative AI for the rest of us -- Today's snippet: Meta Llama 3 with C#/.NET on Amazon Bedrock

	using Amazon;
	using Amazon.BedrockRuntime;
	using Amazon.BedrockRuntime.Model;
	using System;

	// Create a Bedrock Runtime client in the AWS Region of your choice.
	var client = new AmazonBedrockRuntimeClient(RegionEndpoint.USEast1);

	// Specify the model ID. We're using Llama 3 today, but it can be any
	// other text-based model on Amazon Bedrock.

DennisTraub / invoke_agent.js

Last active March 13, 2024 10:21

Invoke Bedrock Agent with Response stream

	export const invokeBedrockAgent = async (prompt, sessionId) => {
	const region = "AWS_REGION";
	const client = new BedrockAgentRuntimeClient({ region: region });

	const agentId = "AGENT_ID";
	const agentAliasId = "AGENT_ALIAS_ID";

	sessionId = sessionId \|\| crypto.randomUUID().replace(/-/g, "")

	try {

DennisTraub / claude_3_multimodal.py

Last active May 9, 2025 07:07

Image analysis with Claude 3 Sonnet on Amazon Bedrock

	import base64
	import boto3
	import json

	# Initialize the Amazon Bedrock runtime client
	client = self.client or boto3.client(service_name="bedrock-runtime", region_name="us-east-1")

	# Encode the image using base64
	with open("path/to/you/image", "rb") as image_file:
	base64_image_data = base64.b64encode(image_file.read()).decode("utf8")

DennisTraub / bedrock-example.java

Created October 2, 2023 12:37

	import java.nio.charset.StandardCharsets;

	import org.json.JSONObject;
	import software.amazon.awssdk.core.SdkBytes;
	import software.amazon.awssdk.regions.Region;
	import software.amazon.awssdk.services.bedrockruntime.BedrockRuntimeClient;
	import software.amazon.awssdk.services.bedrockruntime.model.InvokeModelRequest;
	import software.amazon.awssdk.services.bedrockruntime.model.InvokeModelResponse;

	public class Main {

DennisTraub / post_sqs_message_to_sns.py

Created February 18, 2023 18:01

	import boto3

	sqs = boto3.client('sqs')
	sns = boto3.client('sns')

	# Replace with your SNS topic ARN
	sns_topic_arn = 'YOUR_SNS_TOPIC_ARN'

	def lambda_handler(event, context):
	# Receive a message from the SQS queue

DennisTraub / process_sqs_message.py

Created February 18, 2023 17:33

	import boto3

	# Set up SQS resource with AWS credentials
	sqs = boto3.resource(
	'sqs',
	aws_access_key_id='YOUR_AWS_ACCESS_KEY_ID',
	aws_secret_access_key='YOUR_AWS_SECRET_ACCESS_KEY',
	region_name='YOUR_AWS_REGION'
	)

DennisTraub / randomly_failing_lambda_function.py

Created February 14, 2023 11:42

	import json
	import random

	print('Fulfillment service')

	def lambda_handler(event, context):
	print('----------')

	if 'EventSource' in event['Records'][0] and event['Records'][0]['EventSource'] == 'aws:sns':
	print('Processing SNS message...')

DennisTraub / GetCostAndUsageForConsoleWidget.json

Created January 14, 2022 11:02

	{
	"Version": "2012-10-17",
	"Statement": [
	{
	"Effect": "Allow",
	"Action": [
	"ce:GetCostAndUsage",
	"ce:GetCostAndUsageWithResources",
	"ce:GetCostForecast"
	],

Dennis Traub DennisTraub