wickr-bedrock-bot
Version:
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.