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_seconds (int, optional): TTL value set for all checkpoint items.

Import

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_seconds=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-0.2.6.1.tar.gz (9.1 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-0.2.6.1.tar.gz.

File metadata

File hashes

Hashes for langgraph_dynamodb_checkpoint-0.2.6.1.tar.gz
Algorithm Hash digest
SHA256 801d3502e145a3113b4da142523a674eb4da842b1bab83f5153abcbfd5ea8669
MD5 a833a0afcaa177b99673a5f0aa938032
BLAKE2b-256 6cbee1fe9f5d56fc636c820b1a15ed351cc3c3a6d679b4fd7c3a20accab16fe5

See more details on using hashes here.

File details

Details for the file langgraph_dynamodb_checkpoint-0.2.6.1-py3-none-any.whl.

File metadata

File hashes

Hashes for langgraph_dynamodb_checkpoint-0.2.6.1-py3-none-any.whl
Algorithm Hash digest
SHA256 d1721051efe63bd05fa42011533955d6f60b8d76375215e0e9c3945379823d6c
MD5 7a0f758c8c921c0a6fa1ad90ef1cbf34
BLAKE2b-256 0cdaa4d15e67392b7e3b9fb4b80683e41c6ac4df2049a19e47ef42c6b72b446f

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