https://github.com/build-on-aws/amazon-bedrock-custom-langchain-agent

Learn to build custom prompts and tools for LangChain agents
https://github.com/build-on-aws/amazon-bedrock-custom-langchain-agent

ai-agents amazon-bedrock langchain python streamlit

Last synced: 3 months ago
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Learn to build custom prompts and tools for LangChain agents

• Host: GitHub
• URL: https://github.com/build-on-aws/amazon-bedrock-custom-langchain-agent
• Owner: build-on-aws
• License: mit-0
• Created: 2023-10-31T16:07:27.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-02-08T15:44:19.000Z (12 months ago)
• Last Synced: 2024-02-08T17:06:28.454Z (12 months ago)
• Topics: ai-agents, amazon-bedrock, langchain, python, streamlit
• Language: Python
• Homepage: https://community.aws/posts/amazon-bedrock-custom-langchain-agent
• Size: 17.5 MB
• Stars: 7
• Watchers: 6
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

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README

        
# Amazon Bedrock Custom LangChain Agent

Create a custom LangChain agent dubbed "Agent AWS" that queries the AWS Well-Architected Framework and deploys Lambda functions, all backed by Amazon Bedrock and housed in a Streamlit chatbot.



## Prerequisites

Before you begin, make sure you have the following:

* AWS Account: You'll need an AWS account with access to Claude via [Amazon Bedrock](https://us-east-1.console.aws.amazon.com/bedrock/home?region=us-east-1#/modelaccess).

* Lambda Role: Create an IAM role with Lambda execution permissions.

* S3 Bucket: Create an S3 bucket to store assets like Python deployment zips for Lambda.

* Python 3.9 or higher

Export these in your terminal:

```bash

export LAMBDA_ROLE=arn:aws:iam::ACCOUNT_ID:role/YourLambdaExecutionRole  

export S3_BUCKET=your_s3_bucket_name_here

```

## Installation

Clone this repository:

```bash

git clone https://github.com/build-on-aws/amazon-bedrock-custom-langchain-agent.git

```

Navigate into the project directory:

```bash

cd amazon-bedrock-custom-langchain-agent

```

Install the required Python packages:

```bash

pip install -r requirements.txt

```

## Usage

Run the Streamlit app:

```bash

streamlit run agent_aws_st.py

```

You can also run the agent in the terminal:

```bash

python agent_aws.py

```

## Security

See [CONTRIBUTING](CONTRIBUTING.md#security-issue-notifications) for more information.

## License

This library is licensed under the MIT-0 License. See the LICENSE file.