semvec/pypi-packages huggingface dataset:
langgraph_checkpoint_kurrentdb 0.1.3
KurrentDB checkpoint implementation for LangGraph
Requires Python: <4.0,>=3.12

# LangGraph Checkpoint KurrentDB: Experimental

KurrentDB checkpoint implementation for LangGraph. 
This is an experimental release and not be ready to be used in production, yet.
This project is intended to show that KurrentDB has the right native capabilities to be used as a checkpointing mechanism for LangGraph.

If you would like to see a production version of the checkpointer, feel free to upvote this issue: https://github.com/kurrent-io/langgraph-checkpoint-kurrentdb/issues/3

## Overview

LangGraph is an orchestration framework for complex agentic systems.
This package provides a checkpointing mechanism for LangGraph using KurrentDB.
We use KurrentDB's event sourcing capabilities to store the state of the LangGraph execution.
The versioning of state is mapped to KurrentDB's native event versioning and every the channel value is kept into its own stream.
Every step in the thread then only has a pointer (channel value name and version) to the actual channel value (event). 
(Original Langgraph's channel versioning is also kept)

```mermaid
graph TD
  subgraph ThreadStream["Thread's Stream"]
    Step1["Step -1 (event)"]
    Step2["Step 0 (event)"]
    Step3["Step 1... (event)"]
  end

  subgraph ChannelValueStreams["Channel Value Streams"]
    ChannelA["Channel A"]
    ChannelB["Channel B"]
    ChannelC["Channel C"]
  end

  subgraph ChannelValueEvents["Channel A Value Events"]
    Event0["Event V0"]
    Event1["Event V1"]
    Event2["Event V2..."]
  end

  Step1 -->|Points to| ChannelA
  Step1 -->|Points to| ChannelB
  Step2 -->|Points to| ChannelB
  Step2 -->|Points to| ChannelC
  Step3 -->|Points to| ChannelA
  Step3 -->|Points to| ChannelC
  ChannelA -->|Points to| ChannelValueEvents
```

## Installation

```bash
pip install langgraph-checkpoint-kurrentdb
```

Or using Poetry:

```bash
poetry add langgraph-checkpoint-kurrentdb
```

## Usage

Setting up the KurrentDB checkpointer for your LangGraph:

```python
from langgraph.graph import StateGraph
from langgraph_checkpoint_kurrentdb import KurrentDBSaver
from kurrentdbclient import KurrentDBClient

# Initialize the KurrentDB client
client = KurrentDBClient(uri="esdb://localhost:2113?Tls=false")

# Create the KurrentDB checkpoint saver
saver = KurrentDBSaver(client)

# Create your 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")

# Compile with the KurrentDB checkpointer
graph = builder.compile(checkpointer=saver)

# Use thread ID to identify this execution
config = {"configurable": {"thread_id": "example-thread-1", "checkpoint_ns": ""}}
result = graph.invoke(42, config)

# Later, retrieve the state
state = graph.get_state(config)
```

## Tests
```bash
poetry run pytest --cov --cov-report=term-missing
```