Release/v0.5.0

[lchoquel]

Highlight: Vibe Coding an AI workflow becomes a reality

Create AI workflows from natural language without writing code - The combination of Pipelex's declarative language, comprehensive Cursor rules, and robust validation tools enables AI assistants to autonomously iterate on pipelines until all errors are resolved and workflows are ready to run.

Added

• Complete Dry Run & Static Validation System - A comprehensive validation framework that catches configuration and pipeline errors before any expensive inference operations.
• WorkingMemoryFactory Enhancement: New make_for_dry_run() method creates working memory with realistic mock objects for zero-cost pipeline testing
• Enhanced Dry Run System: Complete dry run support for all pipe controllers (PipeCondition, PipeParallel, PipeBatch) with mock data generation using polyfactory
• Comprehensive Static Validation: Enhanced static validation with configurable error handling for missing/extraneous input variables and domain validation
• TOML File Validation: Automatic detection and prevention of trailing whitespaces, formatting issues, and compilation blockers in pipeline files
• Pipeline Testing Framework: New dry_run_all_pipes() method enables comprehensive testing of entire pipeline libraries
• Enhanced Library Loading: Improved error handling and validation during TOML file loading with proper exception propagation

Configuration

• Dry Run Configuration: New allowed_to_fail_pipes setting allows specific pipes (like infinite loop examples that fail on purpose) to be excluded from dry run validation
• Static Validation Control: Configurable error reactions (raise, log, ignore) for different validation error types

Documentation & Development Experience

• Cursor Rules Enhancement: Comprehensive pipe controller documentation covering PipeSequence, PipeCondition, PipeBatch, and PipeParallel, improved PipeOperator documentation for PipeLLM, PipeOCR
• Pipeline Validation CLI: Enhanced pipelex validate command with better error reporting and validation coverage
• Improved Error Messages: Better formatting and context for pipeline configuration errors

Changed

• OCR Input Standardization: Changed OCR pipe input parameter naming to consistently use ocr_input for both image and PDF inputs, improving consistency across the API
• Error Message Improvements: Updated PipeCondition error messages to reference expression_template instead of deprecated expression_jinja2