# Satya v0.3.6 Release

## Overview

Satya v0.3.6 introduces OpenAI-compatible JSON schema generation while maintaining the library's provider-agnostic architecture. This release focuses on fixing malformed schema generation and adding comprehensive schema validation capabilities.

## Key Features

### 🏗️ OpenAI-Compatible Schema Generation
- **New Method**: `Model.model_json_schema()` generates schemas compatible with OpenAI's structured output API
- **Schema Fixing**: Automatically flattens nested type objects (e.g., `{"type": {"type": "string"}}` → `{"type": "string"}`)
- **Strict Validation**: Sets `additionalProperties: false` for strict schema validation

### 🧪 Comprehensive Testing
- Added complete test suite with 5 test methods covering:
  - Nested type object flattening
  - Nested model handling
  - Optional field processing
  - Enum field generation
  - List/array field schemas

### 🏛️ Provider-Agnostic Architecture
- **Removed**: `src/satya/openai.py` to maintain provider independence
- **Updated**: Benchmarks to use generic JSON responses instead of OpenAI-specific functionality
- **Future**: Provider-specific adapters will live in the Bhumi project

## Usage Examples

```python
from satya import Model, Field
from typing import Optional

class User(Model):
    name: str = Field(description="User name")
    age: Optional[int] = None

# OpenAI-compatible schema
schema = User.model_json_schema()
# Returns flattened, OpenAI-compatible JSON schema

# Standard schema (unchanged)
regular_schema = User.json_schema()
```

## Technical Changes

### Schema Generation Fixes
- Fixed nested type object generation in JSON schemas
- Improved handling of Optional fields, enums, and complex types
- Enhanced schema compatibility for structured output APIs

### API Enhancements
- Maintained backward compatibility with existing `json_schema()` method
- Added internal `_fix_schema_for_openai()` method for schema processing
- Improved documentation with examples and API references

## Migration Guide

No breaking changes. Existing code continues to work unchanged.

```python
# Before (still works)
schema = User.json_schema()

# New OpenAI-compatible option
openai_schema = User.model_json_schema()
```

## Quality Assurance

- ✅ All 150 tests pass
- ✅ Comprehensive schema validation testing
- ✅ Provider-agnostic validation confirmed
- ✅ Backward compatibility maintained
- ✅ Documentation updated

## Files Changed

- `src/satya/__init__.py` - Added schema generation methods
- `tests/test_schema_fix.py` - New comprehensive test suite
- `README.md` - Updated documentation with examples
- `CHANGES.md` - Release notes and change history
- `pyproject.toml` - Version bump to 0.3.6
- `benchmarks/api_benchmark.py` - Removed OpenAI dependencies
- `src/satya/openai.py` - Removed (provider-specific code)

## Commit History

1. `feat: remove OpenAI-specific code to maintain provider-agnostic design`
2. `fix: update api_benchmark.py to remove OpenAI dependencies`
3. `feat: add OpenAI-compatible JSON schema generation methods`
4. `test: add comprehensive test suite for schema fixing functionality`
5. `docs: update README.md with schema generation documentation`
6. `docs: update CHANGES.md with v0.3.6 release notes`
7. `bump: version 0.3.5 → 0.3.6`

## Release Process

- ✅ Code committed and tested
- ✅ Version bumped to 0.3.6
- ✅ Tag created: `v0.3.6`
- ✅ Pushed to origin/main and origin/v0.3.6
- ✅ Release documentation completed

---

**Release Date**: September 23, 2025
**Previous Version**: 0.3.5
**Next Steps**: Monitor adoption and gather feedback for future enhancements
