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wickr-bedrock-bot

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AWS Wickr's own Bedrock Bot

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# Wickr Bedrock Bot This project is a WickrIO integration created via [cookiecutter-wickr-bot](https://github.com/WickrInc/cookiecutter-wickr-bot) ## Installation See the WickrIO [Getting Started Guide](https://wickrinc.github.io/wickrio-docs/#wickr-io-getting-started). ## Usage Bedrock Bot understands the following commands: **Available commands in DMs** - /clear - To clear the context in this conversation and start fresh - /model - To learn what model is currently in use, and switch to a different model in this conversation - /help - To generate a list of all available commands **Available commands in Rooms** - /chat - To start a conversation with the Bedrock bot in a room, type /chat before the conversation text - /clear - To clear the context in this chat and start fresh - /model - To learn what model is currently in use in this conversation, and find out other available models/help - To generate a list of all available commands ## Development ## Prerequisites - AWS Account with appropriate permissions to Bedrock. Before you can chat with the bot, you need to [enable access to the configured models](https://docs.aws.amazon.com/bedrock/latest/userguide/model-access-modify.html) within your AWS account. - Additionally, the host machine you're deploying from needs at least 2 CPU cores and 4GB of RAM to successfully run the WickrIOBedrock integration inside the WikcrIO docker container. - Create an IAM role for your EC2 instance with the following policy: ``` {"Version": "2012-10-17", "Statement": [ { "Sid": "VisualEditor0", "Effect": "Allow", "Action": [ "bedrock:InvokeModel", "bedrock:Retrieve", "bedrock:RetrieveAndGenerate", "bedrock:GenerateQuery", "bedrock:GetKnowledgeBase" ], "Resource": "*" } ]} ``` - Set up Knowledge base for your bedrock instance ## Configuration Edit `model-config-yaml` file to include/exclude the models you want to configure for the bedrock bot. Follow the link below to see supported tools https://docs.aws.amazon.com/bedrock/latest/userguide/conversation-inference-supported-models-features.html You can also configure other model parameters. Edit `app-config-yaml` file to configure knowledge base id and guidelines accordingly. ### Building Run `make` to create a new `software.tar.gz` package, which can be installed as a WickrIO Custom Integration. See the [WickrIO docs](https://wickrinc.github.io/wickrio-docs/#developing-integrations-creating-an-integration-locally) for more details.