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Changelog

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[3.1.0] - 2024-01-26

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Documentation Updates

• 🎯 Provider Clarity - Updated all documentation to accurately reflect ADK as the current orchestration provider
• 🐳 Containerized Execution - Emphasized serverless Docker container execution throughout docs
• 🛡️ Application Layer Focus - New “Why Kubiya” guide explaining safety vs god-mode AI systems
• 📝 DSL Reference - Comprehensive DSL reference with all workflow schema features
• 🚀 Deterministic Workflows - New concept guide explaining determinism in workflows

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Added

• Created /concepts/why-kubiya.mdx - Application-layer vs infrastructure-level AI orchestration
• Created /workflows/dsl-reference.mdx - Complete DSL reference with AI-friendly explanations
• Created /concepts/deterministic-workflows.mdx - Understanding deterministic execution

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Changed

• Provider Overview - Rewritten to accurately show ADK as the orchestration provider
• Architecture Docs - Emphasized serverless, containerized execution model
• README - Updated to highlight containerized execution and ADK orchestration
• All Provider References - Removed misleading mentions of multiple providers

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Key Messages

• Every workflow step runs in its own Docker container
• Workflows are stateless with zero pollution between executions
• ADK provides intelligent orchestration at the application layer
• No infrastructure god-mode permissions required
• Simple, deterministic schema that AI can easily generate

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[3.0.0] - 2024-01-25

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Added

• 🎯 Compose API - Unified interface for plan and act modes in ADK provider
• 🌊 Execute Workflow - Complete implementation in ADK provider with streaming support
• 📖 Comprehensive ADK Docs - Agent architecture, streaming guide, API reference
• 🎓 AI Automation Tutorial - Step-by-step guide for natural language workflows
• 🏃 Default Runner Change - Changed from “auto” to “kubiya-hosted” for better reliability
• 🔧 Context Loading Fix - Direct platform context loading without MockContext issues

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Changed

• ADK Provider now supports both SSE and Vercel AI SDK streaming formats
• Organization Info - Now uses client initialization parameter instead of API calls
• Workflow Generator - Includes smart runner selection logic based on user requirements
• Loop Orchestrator - Loads platform context using tools directly
• Config Handling - Fixed enum handling for model_provider configuration

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Fixed

• MockContext missing ADK attributes (response_modalities, speech_config, etc.)
• Authentication error handling in ADK provider
• API endpoint issues with non-existent organization endpoint
• Streaming event formatting for both SSE and Vercel formats

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Documentation

• Created /providers/adk/agents.mdx - Multi-agent architecture deep dive
• Created /providers/adk/streaming.mdx - Comprehensive streaming guide
• Created /api-reference/compose.mdx - Complete compose API reference
• Created /tutorials/ai-powered-automation.mdx - Hands-on AI workflow tutorial
• Updated /workflows/architecture.mdx - Added AI-powered generation section
• Updated README.md - Prominent AI workflow generation section

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[2.0.0] - 2024-01-20

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Added

• 🤖 ADK Provider - AI-powered workflow generation using Google’s Agent Development Kit
• 🚀 SDK Server - Production-ready FastAPI server with REST endpoints
• 📡 SSE Streaming - Real-time workflow execution updates
• 🔌 Provider System - Pluggable architecture for AI providers
• 📚 Comprehensive Docs - New documentation site with MDX support
• 🧪 Jupyter Notebooks - Interactive examples for learning
• 🐳 Docker Support - Complete Docker and Docker Compose configurations
• 🛠️ Makefile - Development automation commands

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Changed

• Enhanced Client class with new platform methods
• Fixed API endpoint format to use operation=execute_workflow
• Added native_sse=true parameter for standard SSE streaming
• Improved error handling and Python 3.9 compatibility
• Updated default runner to “auto” for automatic selection

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Fixed

• SSE streaming parsing for Kubiya’s custom event format
• Byte/string handling in stream parser
• Response parsing for runners/integrations API

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[1.5.0] - 2023-12-15

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Added

• Workflow DSL with fluent interface
• Basic Kubernetes integration
• Testing framework with mocking support

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Changed

• Improved workflow validation
• Better error messages
• Performance optimizations

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Fixed

• Memory leaks in long-running workflows
• Race conditions in parallel execution

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[1.0.0] - 2023-10-01

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Added

• Initial release
• Core workflow engine
• Basic step execution
• Simple retry logic