Skip to main content

DynamoDB checkpoint saver implementation for LangGraph - Single table, auto create with delete handling

Project description

LangGraph DynamoDB Checkpoint Saver

A DynamoDB-based checkpoint saver implementation for LangGraph that allows storing and managing checkpoints in Amazon DynamoDB.

Installation

If installing this version, then delete the underlying table as well. Existing data is not compatible with version >= 1.5

bash pip install langgraph_dynamodb_checkpoint

Usage

DynamoDBSaver Constructor

  • table_name (str): Name of the DynamoDB table to use for storing checkpoints
  • max_read_request_units (int, optional): Maximum read request units for the DynamoDB table. Defaults to 10
  • max_write_request_units (int, optional): Maximum write request units for the DynamoDB table. Defaults to 10
  • ttl (int, optional): TTL value set for all checkpoint items.

Basic Initialization

python from langgraph_dynamodb_checkpoint import DynamoDBSaver

Initialize the saver with a table name

saver = DynamoDBSaver(
    table_name="your-dynamodb-table-name",
    max_read_request_units=10,  # Optional, default is 100
    max_write_request_units=10  # Optional, default is 100
    ttl=86400
)

Table has ttl enabled with attribute name set to ttl

Alternative Initialization Using Context Manager

from langgraph_dynamodb_checkpoint import DynamoDBSaver

with DynamoDBSaver.from_conn_info(table_name="your-dynamodb-table-name") as saver:
    # Use the saver here
    pass

Supports Delete

Checkpointer supports delete basis given thread_id

config = {"configurable": {"thread_id": "900"}}
memory.delete(config)

Table Structure

The saver automatically creates a DynamoDB table if it doesn't exist, with the following structure:

  • Partition Key (PK): String type, used for thread_id
  • Sort Key (SK): String type, used for checkpoint_id

AWS Configuration

Ensure you have proper AWS credentials configured either through:

  • Environment variables (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY)
  • AWS credentials file (~/.aws/credentials)
  • IAM role when running on AWS services

The AWS credentials should have permissions to:

  • Create DynamoDB tables (if table doesn't exist)
  • Read and write to DynamoDB tables

Notes

  • The saver automatically creates the DynamoDB table if it doesn't exist
  • Uses on-demand billing mode for DynamoDB
  • Implements all methods required by the LangGraph BaseCheckpointSaver interface

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

langgraph_dynamodb_checkpoint-0.2.3.tar.gz (8.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file langgraph_dynamodb_checkpoint-0.2.3.tar.gz.

File metadata

File hashes

Hashes for langgraph_dynamodb_checkpoint-0.2.3.tar.gz
Algorithm Hash digest
SHA256 f74dd8cfcaaf9a9bb113cebfc82eb5363539b5f682beb6462e43465997903131
MD5 4de241247a870f844d088022dad06a5e
BLAKE2b-256 429fdf422ecca18bafa637f3b741304b867dddd833a35b0d5fd6ea4b9f8bd6f2

See more details on using hashes here.

File details

Details for the file langgraph_dynamodb_checkpoint-0.2.3-py3-none-any.whl.

File metadata

File hashes

Hashes for langgraph_dynamodb_checkpoint-0.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 11fea7712fd9f2acf5dd15e096c53091debf76994b88cba8325c3f523e070f7a
MD5 e04fdcbc208d609fef74de9d8f7f5e49
BLAKE2b-256 2f8c49edf7ac0feba52f615117aef4999a3453fcbaaffafbe076dfd8decc71ed

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page