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v1.1.0

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@ronibhakta1 ronibhakta1 released this 01 Dec 16:29
· 20 commits to main since this release
v1.1.0
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ronibhakta1 Roni bhakta
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[1.1.0] - 2025-12-01

Full Changelog: v1.0.5...v1.1.0

Major Release: Ecosystem Integrations & Streaming

This release transforms ZON into a production-ready format with first-class support for modern AI frameworks and streaming workflows.

Added

Phase 5: Ecosystem Integrations

  • LangChain Integration (zon-format/langchain): ZonOutputParser for seamless LLM chain integration
  • Vercel AI SDK Integration (zon-format/ai-sdk): streamZon helper for Next.js streaming UI
  • OpenAI Helper (zon-format/openai): ZOpenAI wrapper with automatic format injection

Phase 4: Developer Experience

  • VS Code Extension: Syntax highlighting for .zon and .zonf files
  • Performance Benchmarks: Automated benchmark suite comparing ZON vs JSON/MsgPack
  • CLI Enhancements: validate, stats, and format commands

Phase 3: Streaming & Utilities

  • Streaming APIs: ZonStreamEncoder and ZonStreamDecoder for memory-efficient processing
  • Browser/Edge Support: Verified compatibility with Cloudflare Workers and Vercel Edge
  • CLI Tools: Complete command-line interface for file operations

Advanced Features (Phases 1-2)

  • Runtime Schema Validation: Type-safe parsing with zon.object(), zon.string(), etc.
  • Dictionary Compression: Automatic deduplication of repeated string values
  • Delta Encoding: Sequential numeric columns compressed with delta notation
  • Type Coercion: Intelligent handling of LLM-generated "stringified" values
  • LLM-Aware Field Ordering: encodeLLM optimizes field order for task type

Documentation

  • 5 New Comprehensive Guides: Streaming, Integrations, CLI, Schema Validation, Advanced Features
  • Updated README: Professional documentation section with organized navigation
  • Enhanced API Reference: Added streaming and integration APIs
  • Updated Syntax Cheatsheet: Added dictionary and metadata syntax

Fixed

  • Dictionary Round-trip Bug: Fixed regex pattern to support dotted column names (e.g., recipient.city[3])
  • Test Suite: All 175 tests passing (up from 121)

Performance

  • Token Efficiency: 16-19% fewer tokens than JSON
  • LLM Accuracy: 100% retrieval accuracy maintained
  • Round-trip Integrity: 100% across all 18 comprehensive test datasets
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