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langgraph-checkpoint-aws

A LangChain checkpointer implementation that uses Bedrock Session Management Service to enable stateful and resumable LangGraph agents.

0.1.0
PyPI
Maintainers
1

LangGraph Checkpoint AWS

A custom LangChain checkpointer implementation that uses Bedrock Session Management Service to enable stateful and resumable LangGraph agents through efficient state persistence and retrieval.

Overview

This package provides a custom checkpointing solution for LangGraph agents using AWS Bedrock Session Management Service. It enables:

  • Stateful conversations and interactions
  • Resumable agent sessions
  • Efficient state persistence and retrieval
  • Seamless integration with AWS Bedrock

Installation

You can install the package using pip:

pip install langgraph-checkpoint-aws

Or with Poetry:

poetry add langgraph-checkpoint-aws

Requirements

Python >=3.9
langgraph-checkpoint >=2.0.0
langgraph >=0.2.55
boto3 >=1.37.3

Usage

from langgraph.graph import StateGraph
from langgraph_checkpoint_aws.saver import BedrockSessionSaver

# Initialize the saver
session_saver = BedrockSessionSaver(
    region_name="us-west-2",  # Your AWS region
    credentials_profile_name="default",  # Optional: AWS credentials profile
)

# Create a session
session_id = session_saver.session_client.create_session().session_id

# Use with LangGraph
builder = StateGraph(int)
builder.add_node("add_one", lambda x: x + 1)
builder.set_entry_point("add_one")
builder.set_finish_point("add_one")

graph = builder.compile(checkpointer=session_saver)
config = {"configurable": {"thread_id": session_id}}
graph.invoke(1, config)

Configuration Options

BedrockSessionSaver accepts the following parameters:

def __init__(
    region_name: Optional[str] = None,
    credentials_profile_name: Optional[str] = None,
    aws_access_key_id: Optional[SecretStr] = None,
    aws_secret_access_key: Optional[SecretStr] = None,
    aws_session_token: Optional[SecretStr] = None,
    endpoint_url: Optional[str] = None,
    config: Optional[Config] = None,
)
  • region_name: AWS region where Bedrock is available
  • credentials_profile_name: Name of AWS credentials profile to use
  • aws_access_key_id: AWS access key ID for authentication
  • aws_secret_access_key: AWS secret access key for authentication
  • aws_session_token: AWS session token for temporary credentials
  • endpoint_url: Custom endpoint URL for the Bedrock service
  • config: Botocore configuration object

Development

Setting Up Development Environment

  • Clone the repository:
git clone <repository-url>
cd libs/aws/langgraph-checkpoint-aws
  • Install development dependencies:
make install_all
  • Or install specific components:
make install_dev        # Basic development tools
make install_test       # Testing tools
make install_lint       # Linting tools
make install_typing     # Type checking tools
make install_codespell  # Spell checking tools

Running Tests

make tests         # Run all tests
make test_watch   # Run tests in watch mode

Code Quality

make lint           # Run linter
make format         # Format code
make spell_check    # Check spelling

Clean Up

make clean          # Remove all generated files

AWS Configuration

Ensure you have AWS credentials configured using one of these methods:

  • Environment variables
  • AWS credentials file (~/.aws/credentials)
  • IAM roles
  • Direct credential injection via constructor parameters

Required AWS permissions:

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Sid": "Statement1",
            "Effect": "Allow",
            "Action": [
                "bedrock:CreateSession",
                "bedrock:GetSession",
                "bedrock:UpdateSession",
                "bedrock:DeleteSession",
                "bedrock:EndSession",
                "bedrock:ListSessions",
                "bedrock:CreateInvocation",
                "bedrock:ListInvocations",
                "bedrock:PutInvocationStep",
                "bedrock:GetInvocationStep",
                "bedrock:ListInvocationSteps"
            ],
            "Resource": [
                "*"
            ]
        },
        {
            "Effect": "Allow",
            "Action": [
                "kms:Decrypt",
                "kms:Encrypt",
                "kms:GenerateDataKey",
                "kms:DescribeKey"
            ],
            "Resource": "arn:aws:kms:{region}:{account}:key/{kms-key-id}"
        },
        {
            "Effect": "Allow",
            "Action": [
                "bedrock:TagResource",
                "bedrock:UntagResource",
                "bedrock:ListTagsForResource"
            ],
            "Resource": "arn:aws:bedrock:{region}:{account}:session/*"
        }
    ]
}

Security Considerations

  • Never commit AWS credentials
  • Use environment variables or AWS IAM roles for authentication
  • Follow AWS security best practices
  • Use IAM roles and temporary credentials when possible
  • Implement proper access controls for session management

Contributing

  • Fork the repository
  • Create a feature branch
  • Make your changes
  • Run tests and linting
  • Submit a pull request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

  • LangChain team for the base LangGraph framework
  • AWS Bedrock team for the session management service

Keywords

aws

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