Skip to main content

LangGraph integration for KAgent with A2A server support

Project description

KAgent LangGraph Integration

This package provides LangGraph integration for KAgent with A2A (Agent-to-Agent) server support. It implements a custom checkpointer that persists LangGraph state to the KAgent REST API, enabling distributed agent execution with session persistence.

Features

  • Custom Checkpointer: Persists LangGraph checkpoints to KAgent via REST API
  • A2A Server Integration: Compatible with KAgent's Agent-to-Agent protocol
  • Session Management: Automatic session creation and state persistence
  • Event Streaming: Real-time streaming of graph execution events
  • FastAPI Integration: Ready-to-deploy web server for agent execution

Quick Start

from kagent_langgraph import KAgentApp
from langgraph.graph import StateGraph
from langchain_core.messages import BaseMessage
from typing import TypedDict, Annotated, Sequence

class State(TypedDict):
    messages: Annotated[Sequence[BaseMessage], "The conversation history"]

# Define your graph
builder = StateGraph(State)
# Add nodes and edges...

# Create KAgent app
app = KAgentApp(
    graph_builder=builder,
    agent_card={
        "name": "my-langgraph-agent",
        "description": "A LangGraph agent with KAgent integration",
        "version": "0.1.0",
        "capabilities": {"streaming": True},
        "defaultInputModes": ["text"],
        "defaultOutputModes": ["text"]
    },
    kagent_url="http://localhost:8080",
    app_name="my-agent"
)

# Build FastAPI application
fastapi_app = app.build()

Architecture

The package mirrors the structure of kagent-adk but uses LangGraph instead of Google's ADK:

  • KAgentCheckpointer: Custom checkpointer that stores graph state in KAgent sessions
  • LangGraphAgentExecutor: Executes LangGraph workflows within A2A protocol
  • KAgentApp: FastAPI application builder with A2A integration
  • Session Management: Automatic session lifecycle management via KAgent REST API

Configuration

The system uses the same REST API endpoints as the ADK integration:

  • POST /api/sessions - Create new sessions
  • GET /api/sessions/{id} - Retrieve session and events
  • POST /api/sessions/{id}/events - Append checkpoint events
  • POST /api/tasks - Task management

Deployment

Use the same deployment pattern as kagent-adk samples with Docker and Kubernetes.

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

kagent_langgraph-0.6.16.tar.gz (10.7 kB view details)

Uploaded Source

Built Distribution

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

kagent_langgraph-0.6.16-py3-none-any.whl (11.3 kB view details)

Uploaded Python 3

File details

Details for the file kagent_langgraph-0.6.16.tar.gz.

File metadata

  • Download URL: kagent_langgraph-0.6.16.tar.gz
  • Upload date:
  • Size: 10.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.22

File hashes

Hashes for kagent_langgraph-0.6.16.tar.gz
Algorithm Hash digest
SHA256 9390c4f74a31ab75bdd636380f8591e70c1e3aeb441b483ce58630f0ecca2bf7
MD5 74a17beac8e347e38255b915962e208c
BLAKE2b-256 bc76fafb35e2be39117e0b36be2eedd5c81b643bd6c59802f106882381e243ad

See more details on using hashes here.

File details

Details for the file kagent_langgraph-0.6.16-py3-none-any.whl.

File metadata

File hashes

Hashes for kagent_langgraph-0.6.16-py3-none-any.whl
Algorithm Hash digest
SHA256 dc127e44b619940b8f5ffbc2ec9331b0e6cc61f5b5e592ca93f7bb58d2952f96
MD5 9d7978bf4705d41e105a3da7e48b648f
BLAKE2b-256 c27e6b210bfd2b93cfd35e9b8edd8ce334777a3b12830d72a82d934c6c64beb0

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