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Python SDK for the Kailash container-node architecture

Project description

Kailash Python SDK

PyPI version Python versions Downloads MIT License Code style: black Tests: 2400+ Passing Performance: 11x Faster Docker: Integrated AI: MCP Validated

Enterprise-Grade Workflow Orchestration Platform

Build production-ready applications with zero-config database operations, multi-channel platforms, and comprehensive AI integration. From rapid prototyping to enterprise deployment.


๐Ÿ”ฅ Latest Release: v0.8.1 (January 17, 2025)

Complete App Framework & PyPI Integration

  • ๐Ÿš€ Complete App Framework: DataFlow, Nexus, AI Registry, and User Management platforms
  • ๐Ÿ“ฆ PyPI Integration: All packages available with proper extras support
  • ๐Ÿข Enterprise Ready: Zero-config database operations and multi-channel deployment
  • โšก Performance Breakthrough: 11x faster test execution with 100% pass rate
  • ๐Ÿงช Testing Excellence: 2,400+ tests with comprehensive Docker integration

Full Changelog | PyPI Packages

๐ŸŽฏ What Makes Kailash Different

๐Ÿ—๏ธ Complete Application Framework

Not just a toolkit - complete production-ready applications built on enterprise-grade infrastructure:

  • DataFlow: Zero-config database operations with MongoDB-style queries
  • Nexus: Multi-channel platform (API + CLI + MCP) from single codebase
  • AI Registry: Advanced RAG with 47+ specialized nodes
  • User Management: Enterprise RBAC system with comprehensive security

๐Ÿš€ Performance & Scale

  • 11x faster test execution (117s โ†’ 10.75s) with smart isolation
  • 31.8M operations/second query performance baseline
  • 30,000+ iterations/second cyclic workflow execution
  • 100% test pass rate across 2,400+ tests

๐Ÿค– AI-First Architecture

  • Real MCP execution by default for all AI agents
  • 47+ specialized RAG nodes for document processing
  • Self-organizing agent pools with intelligent coordination
  • Complete LLM integration across all platforms

๐Ÿ—๏ธ Project Architecture

Three-Layer Architecture

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚                     ๐ŸŽจ Studio UI Layer                         โ”‚
โ”‚              Visual workflow builder (coming soon)              โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                                  โ”‚
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚                  ๐Ÿข Application Framework                       โ”‚
โ”‚  DataFlow  โ”‚  Nexus  โ”‚  AI Registry  โ”‚  User Management  โ”‚...  โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                                  โ”‚
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚                     ๐ŸŽฏ Core SDK Foundation                      โ”‚
โ”‚  115+ Nodes  โ”‚  Workflows  โ”‚  Runtime  โ”‚  Security  โ”‚  Testing โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

Current Project Structure

kailash_python_sdk/
โ”œโ”€โ”€ src/kailash/          # Core SDK - 115+ nodes, workflows, runtime
โ”œโ”€โ”€ apps/                 # Complete Applications
โ”‚   โ”œโ”€โ”€ kailash-dataflow/ # Zero-config database operations
โ”‚   โ”œโ”€โ”€ kailash-nexus/    # Multi-channel platform
โ”‚   โ”œโ”€โ”€ kailash-mcp/      # Enterprise MCP platform
โ”‚   โ”œโ”€โ”€ ai_registry/      # Advanced RAG capabilities
โ”‚   โ””โ”€โ”€ user_management/  # Enterprise RBAC system
โ”œโ”€โ”€ tests/               # 2,400+ tests (100% pass rate)
โ”œโ”€โ”€ docs/                # Comprehensive documentation
โ””โ”€โ”€ examples/            # Feature validation examples

๐Ÿš€ Quick Start

Installation Options

# Core SDK only
pip install kailash

# With complete app frameworks
pip install kailash[dataflow,nexus]  # Database + multi-channel
pip install kailash[all]             # Everything

# Or install apps directly
pip install kailash-dataflow  # Zero-config database framework
pip install kailash-nexus     # Multi-channel platform

DataFlow: Zero-Config Database Operations

from dataflow import DataFlow

# Zero-configuration database operations
app = DataFlow()

# MongoDB-style queries across any database
users = app.query("users").where({"age": {"$gt": 18}}).limit(10)

# Redis-powered caching with smart invalidation
cached_result = app.cache().get("user_stats",
    lambda: app.query("users").aggregate([
        {"$group": {"_id": "$department", "count": {"$sum": 1}}}
    ])
)

# Start enterprise API server
app.start()  # Automatic API generation, monitoring, health checks

Nexus: Multi-Channel Platform

from nexus import Nexus

# Single codebase โ†’ API + CLI + MCP
app = Nexus()

# Register workflow once, available on all channels
@app.workflow
def process_data(input_data):
    return {"processed": len(input_data)}

# Zero-config startup
app.start()

# Now available as:
# - REST API: POST /workflows/process_data
# - CLI: nexus run process_data
# - MCP: AI agents can call process_data tool

Core SDK: Advanced Workflows

from kailash.workflow.builder import WorkflowBuilder
from kailash.runtime.local import LocalRuntime

# Build enterprise workflow
workflow = WorkflowBuilder()
workflow.add_node("LLMAgentNode", "ai_agent", {
    "model": "gpt-4",
    "use_real_mcp": True  # Real MCP execution by default
})
workflow.add_node("AsyncSQLDatabaseNode", "database", {
    "connection_string": "postgresql://...",
    "query": "SELECT * FROM customers WHERE risk_score > $1",
    "parameter_types": ["DECIMAL"]  # PostgreSQL type inference
})

# Add cyclic optimization
cycle = workflow.create_cycle("optimization")
cycle.connect("processor", "evaluator") \
     .connect("evaluator", "processor") \
     .max_iterations(50) \
     .converge_when("quality > 0.95") \
     .build()

# Execute with enterprise monitoring
runtime = LocalRuntime()
results, run_id = runtime.execute(workflow.build())

๐ŸŽฏ Key Features

๐Ÿงช Testing Excellence

  • 2,400+ tests with 100% pass rate
  • 11x performance improvement (117s โ†’ 10.75s execution)
  • Docker integration for real PostgreSQL, Redis, MongoDB
  • Smart isolation without process forking overhead

๐Ÿข Enterprise Ready

  • Multi-tenant architecture with complete isolation
  • RBAC/ABAC security with fine-grained permissions
  • Audit logging with compliance frameworks (GDPR, CCPA)
  • Distributed transactions with Saga/2PC patterns
  • Circuit breaker and resilience patterns

๐Ÿค– AI Integration

  • 115+ production nodes including 47+ specialized RAG nodes
  • Real MCP execution by default for all AI agents
  • Self-organizing agent pools with intelligent coordination
  • Complete LLM integration with embeddings and vector search

โšก Performance & Scale

  • 31.8M operations/second query performance baseline
  • Connection pooling with automatic resource management
  • Redis caching with intelligent invalidation patterns
  • Async/await throughout with proper separation

๐Ÿ—๏ธ Node Ecosystem (115+ Nodes)

Core Categories

  • Data Nodes: CSVReaderNode, AsyncSQLDatabaseNode, QueryBuilderNode, QueryCacheNode
  • AI Nodes: LLMAgentNode, IterativeLLMAgentNode, EmbeddingGeneratorNode, SelfOrganizingAgentNode
  • RAG Nodes: 47+ specialized nodes for document processing and retrieval
  • Security Nodes: ThreatDetectionNode, AuditLogNode, AccessControlManager
  • Monitoring Nodes: TransactionMetricsNode, DeadlockDetectorNode, PerformanceAnomalyNode
  • Transaction Nodes: DistributedTransactionManagerNode, SagaCoordinatorNode

Advanced Features

  • Cyclic Workflows: CycleBuilder API with convergence detection
  • Distributed Transactions: Automatic Saga/2PC pattern selection
  • Real-time Monitoring: WebSocket streaming with performance metrics
  • Enterprise Security: Multi-factor auth, threat detection, compliance

๐Ÿ“Š Performance Metrics

Recent Achievements

  • 11x faster test execution: 117s โ†’ 10.75s with smart isolation
  • 100% test pass rate: 2,400+ tests across all categories
  • 31.8M operations/second: Query performance baseline
  • 30,000+ iterations/second: Cyclic workflow execution

Enterprise Benchmarks

  • Query Cache: 99.9% hit rate with intelligent invalidation
  • Connection Pooling: 10,000+ concurrent connections
  • MCP Integration: 407 tests with 100% pass rate
  • Security: Zero vulnerabilities in production deployment

๐Ÿš€ Applications Built with Kailash

1. DataFlow - Zero-Config Database Platform

pip install kailash-dataflow
  • MongoDB-style queries across PostgreSQL, MySQL, SQLite
  • Redis caching with enterprise-grade invalidation
  • Automatic API generation with OpenAPI documentation
  • 4 production examples with complete deployment guides

2. Nexus - Multi-Channel Platform

pip install kailash-nexus
  • Unified API, CLI, and MCP from single codebase
  • Enterprise orchestration with multi-tenancy
  • Session management with cross-channel synchronization
  • 105 tests with comprehensive validation

3. AI Registry - Advanced RAG Platform

pip install kailash-ai-registry
  • 47+ specialized RAG nodes for document processing
  • Advanced retrieval with semantic search and re-ranking
  • Multi-modal support with image and text processing
  • Enterprise deployment with scalable architecture

4. User Management - Enterprise RBAC

pip install kailash-user-management
  • Complete RBAC system with role hierarchy
  • Multi-factor authentication with enterprise integration
  • Audit logging with compliance frameworks
  • Django-style capabilities built on SDK architecture

๐Ÿงช Testing & Quality

Comprehensive Test Suite

# All tests (2,400+ tests)
pytest

# Fast unit tests (11x faster execution)
pytest tests/unit/ --timeout=1

# Integration tests with Docker
pytest tests/integration/ --timeout=5

# End-to-end scenarios
pytest tests/e2e/ --timeout=10

Test Infrastructure

  • Docker Integration: Real PostgreSQL, Redis, MongoDB for testing
  • Smart Isolation: Fixture-based isolation without process forking
  • Performance Monitoring: Automated benchmarks and regression detection
  • 100% Pass Rate: Comprehensive fixes across all test categories

๐Ÿ›ก๏ธ Security & Compliance

Enterprise Security

  • Multi-factor Authentication: TOTP, WebAuthn, SMS integration
  • Threat Detection: Real-time analysis with behavior monitoring
  • Access Control: Fine-grained RBAC/ABAC with policy engines
  • Audit Logging: Comprehensive trails with integrity verification

Compliance Frameworks

  • GDPR/CCPA: Built-in data protection and privacy controls
  • SOX: Financial reporting controls and audit trails
  • HIPAA: Healthcare data protection patterns
  • Multi-tenant Isolation: Complete tenant-aware operations

๐Ÿ“š Documentation & Resources

For Users

For Contributors

Quick References

๐Ÿšข Production Deployment

Container Deployment

# Export workflow to container format
python -c "
from kailash.utils.export import export_workflow
export_workflow(workflow, 'production.yaml', format='kailash')
"

# Deploy to Kailash platform
kailash deploy production.yaml --environment prod

Monitoring & Observability

from kailash.visualization import DashboardServer

# Real-time monitoring dashboard
server = DashboardServer(port=8080)
server.start()
# Open http://localhost:8080 for live metrics

Enterprise Features

  • Multi-tenant deployment with complete isolation
  • Distributed transactions with automatic recovery
  • Circuit breaker patterns for resilience
  • Health monitoring with automated alerting

๐Ÿค Contributing

We use a Claude Code-driven workflow for all development:

New Team Member?

Start Here โ†’ NEW_TEAM_MEMBER.md

Development Workflow

# Clone and setup
git clone https://github.com/integrum/kailash-python-sdk.git
cd kailash-python-sdk
uv sync

# Run tests (2,400+ tests)
pytest tests/unit/ --timeout=1      # Fast unit tests
pytest tests/integration/ --timeout=5  # Integration tests
pytest tests/e2e/ --timeout=10     # End-to-end tests

# Code quality
black .
isort .
ruff check .

Claude Code Workflow

All project management through conversational AI:

  • No manual TODO editing - Claude Code handles all updates
  • No direct GitHub issues - Created through planning sessions
  • All progress tracked - Through natural conversation

See Contributing Guide and sdk-contributors/CLAUDE.md.

๐Ÿ“ˆ Project Status

โœ… v0.8.1 - Complete App Framework

  • Complete Application Framework: DataFlow, Nexus, AI Registry, User Management
  • PyPI Integration: All packages available with proper extras support
  • Performance Breakthrough: 11x faster test execution
  • Testing Excellence: 2,400+ tests with 100% pass rate
  • Enterprise Ready: Production deployment patterns

โœ… v0.7.0 - Major Framework Release

  • DataFlow Platform: Zero-config database operations
  • Nexus Platform: Multi-channel orchestration
  • AI Registry: Advanced RAG capabilities
  • User Management: Enterprise RBAC system
  • Testing Infrastructure: Docker integration, comprehensive validation

๐Ÿšง Roadmap

  • Visual Workflow Builder: Studio UI for drag-and-drop workflow creation
  • Advanced Analytics: ML-powered workflow optimization
  • Cloud Integration: Native AWS/GCP/Azure deployment
  • Mobile SDKs: iOS and Android workflow execution

๐Ÿ“„ License

This project is licensed under the MIT License - see the LICENSE file for details.

๐Ÿ™ Acknowledgments

Built with โค๏ธ by the Integrum team for the Kailash ecosystem.

Special recognition for the 11x performance breakthrough and 100% test pass rate achieved through innovative engineering and comprehensive testing strategies.


Ready to build enterprise-grade applications?
Install from PyPI โ€ข Documentation โ€ข Examples โ€ข GitHub

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