wickr-bedrock-bot/bots/app-config.yaml

AWS Wickr's own Bedrock Bot

# The AWS account ID where resources will be deployed
account: "480844863715"

# The AWS region where resources will be deployed
region: "us-east-1"

# Set the below to true if you are on govcloud
isGovCloud: false

# The ARN of the AWS Secrets Manager Secret containing the bot username and password
credentialsArn: "arn:aws:secretsmanager:us-east-1:480844863715:secret:test/bedrockbot-p7U9M2"

# The S3 bucket and the folder where the bedrock integration will be uploaded. Please craete the bucket and the folder(if you have not already)
deployment:
  bucketName: wickriobedrockbotint
  folder: artifacts

# Uncomment below line to deploy in preprod envs - not to be included during release
# env_type: "beta"

# The following is the configuration which will be used by the bedrock bot integration
config:
  # This is the number of messages saved for each chat history to use as context. Please consider Bedrock's token and throttling limits.
  maxHistory: 100
  # aws:
  #   region: 'us-east-1'
  #   accountId: 'random'

  # Uncomment the below section and provide the knowledge base and guidelines to use your knowledge base with bedrock.

  # knowledgeBase:
  #   id: 'HYSL6DQKQB'
  #   guidelines: |
  #     - IMPORTANT: Only make ONE knowledge base query per user message to avoid rate limits
  #     - Do not make follow-up queries to verify or double-check information you've already received
  #     - If your first query doesn't return all the information you need, respond with what you know rather than querying again
  #     - Synthesize information from your first query instead of making multiple queries
  #     - Never enter a loop of repeatedly querying the knowledge base for the same information

  #     Example of GOOD knowledge base usage:
  #     User: "What's our security policy?"
  #     Assistant: [Makes ONE knowledge base query, then synthesizes a complete response]

  #     Example of BAD knowledge base usage:
  #     User: "What's our security policy?"
#     Assistant: [Makes initial query about security policy, then makes additional queries to verify details]