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-0.7.4.tar.gz (13.7 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-0.7.4-py3-none-any.whl (15.0 kB view details)

Uploaded Python 3

File details

Details for the file kagent_langgraph-0.7.4.tar.gz.

File metadata

  • Download URL: kagent_langgraph-0.7.4.tar.gz
  • Upload date:
  • Size: 13.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.7

File hashes

Hashes for kagent_langgraph-0.7.4.tar.gz
Algorithm Hash digest
SHA256 9949a02fef9d749c1c8cc0140e6ae463e76fe81b3c9a11f03d50d7131e743eac
MD5 d0b938f475c6706b4d5538bb519e3f6c
BLAKE2b-256 8f15f86cf303463d094194a404722586d38cc7d9f7e4fd8d35336cf892d3f4c5

See more details on using hashes here.

File details

Details for the file kagent_langgraph-0.7.4-py3-none-any.whl.

File metadata

File hashes

Hashes for kagent_langgraph-0.7.4-py3-none-any.whl
Algorithm Hash digest
SHA256 37d19a802519b0081ecb6a4322b11a3f1c3c9b2f59527be936a93690a69d979b
MD5 196ff66228d17b4e66253aec8a8e2281
BLAKE2b-256 328ddef9e0bd108a18fade41e2b69950e8efd62ea1c29bdc61de0d6a88590ffa

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