Changelog

All notable changes to Vibe AIGC will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

0.1.0 - 2026-02-05

Added

• Core Architecture
• Vibe model for high-level intent representation
• WorkflowPlan and WorkflowNode models for hierarchical task decomposition

• WorkflowNodeType enum (ANALYZE, GENERATE, TRANSFORM, VALIDATE, COMPOSITE)

• MetaPlanner

• LLM-based Vibe decomposition into executable workflows
• plan() method for workflow generation
• execute() method for plan-and-execute workflow
• execute_with_adaptation() for automatic replanning on failures
• execute_with_visualization() for real-time progress display

• execute_with_resume() for checkpoint-based resumption

• Execution Engine

• WorkflowExecutor with parallel execution support
• Dependency-aware node scheduling
• Progress callbacks for real-time monitoring

• Execution status tracking (PENDING, RUNNING, COMPLETED, FAILED, SKIPPED)

• Persistence

• WorkflowPersistenceManager for checkpoint management
• Automatic checkpointing at configurable intervals
• Checkpoint listing, retrieval, and deletion

• Resume from any saved checkpoint

• Visualization

• ASCII diagram generation for terminal output
• Mermaid diagram generation for documentation
• Status indicators for execution progress

• Execution summary with timing information

• LLM Integration

• OpenAI-compatible client
• Configurable model, temperature, and token limits
• Custom endpoint support

Technical

• Python 3.12+ required
• Pydantic 2.0+ for data validation
• Full async/await support
• 128 passing tests
• MIT License