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chore: rebrand aipartnerup → aiperceivable
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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CHANGELOG.md

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All notable changes to this project will be documented in this file.
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## [0.3.1] - 2026-03-22
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### Changed
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- Rebrand: aipartnerup → aiperceivable
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## [0.3.0] - 2026-03-19
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### Added

README.md

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# apcore-toolkit
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[![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
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[![Python Version](https://img.shields.io/badge/python-3.11%2B-blue)](https://github.com/aipartnerup/apcore-toolkit-python)
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[![Python SDK](https://img.shields.io/badge/python_sdk-0.3.0-green)](https://github.com/aipartnerup/apcore-toolkit-python)
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[![TypeScript Version](https://img.shields.io/badge/typescript-5.0%2B-blue)](https://github.com/aipartnerup/apcore-toolkit-typescript)
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[![TypeScript SDK](https://img.shields.io/badge/typescript_sdk-0.3.0-green)](https://github.com/aipartnerup/apcore-toolkit-typescript)
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[![Rust Version](https://img.shields.io/badge/rust-1.70%2B-blue)](https://github.com/aipartnerup/apcore-toolkit-rust)
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[![Rust SDK](https://img.shields.io/badge/rust_sdk-0.3.0-green)](https://github.com/aipartnerup/apcore-toolkit-rust)
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[![Python Version](https://img.shields.io/badge/python-3.11%2B-blue)](https://github.com/aiperceivable/apcore-toolkit-python)
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[![Python SDK](https://img.shields.io/badge/python_sdk-0.3.0-green)](https://github.com/aiperceivable/apcore-toolkit-python)
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[![TypeScript Version](https://img.shields.io/badge/typescript-5.0%2B-blue)](https://github.com/aiperceivable/apcore-toolkit-typescript)
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[![TypeScript SDK](https://img.shields.io/badge/typescript_sdk-0.3.0-green)](https://github.com/aiperceivable/apcore-toolkit-typescript)
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[![Rust Version](https://img.shields.io/badge/rust-1.70%2B-blue)](https://github.com/aiperceivable/apcore-toolkit-rust)
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[![Rust SDK](https://img.shields.io/badge/rust_sdk-0.3.0-green)](https://github.com/aiperceivable/apcore-toolkit-rust)
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**apcore-toolkit** is a shared scanner, schema extraction, and output toolkit for the [apcore](https://github.com/aipartnerup/apcore-python) ecosystem. It provides framework-agnostic logic to extract metadata from existing code and make it "AI-Perceivable".
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**apcore-toolkit** is a shared scanner, schema extraction, and output toolkit for the [apcore](https://github.com/aiperceivable/apcore-python) ecosystem. It provides framework-agnostic logic to extract metadata from existing code and make it "AI-Perceivable".
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Available in:
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- [🐍 Python](https://github.com/aipartnerup/apcore-toolkit-python)
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- [📘 TypeScript](https://github.com/aipartnerup/apcore-toolkit-typescript)
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- [🦀 Rust](https://github.com/aipartnerup/apcore-toolkit-rust)
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- [🐍 Python](https://github.com/aiperceivable/apcore-toolkit-python)
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- [📘 TypeScript](https://github.com/aiperceivable/apcore-toolkit-typescript)
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- [🦀 Rust](https://github.com/aiperceivable/apcore-toolkit-rust)
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## Key Features
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- **🚀 Multi-Language Support**: Implementation available for [🐍 Python](https://github.com/aipartnerup/apcore-toolkit-python), [📘 TypeScript](https://github.com/aipartnerup/apcore-toolkit-typescript), and [🦀 Rust](https://github.com/aipartnerup/apcore-toolkit-rust).
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- **🚀 Multi-Language Support**: Implementation available for [🐍 Python](https://github.com/aiperceivable/apcore-toolkit-python), [📘 TypeScript](https://github.com/aiperceivable/apcore-toolkit-typescript), and [🦀 Rust](https://github.com/aiperceivable/apcore-toolkit-rust).
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- **🔍 Smart Scanning**: Abstract base classes for framework scanners with filtering and deduplication.
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- **📄 Output Generation**: Writers for YAML bindings, language-specific wrappers, and direct Registry registration.
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- **🛠️ Schema Utilities**: Tools for Pydantic/Zod model flattening and OpenAPI schema extraction.
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- **🤖 AI Enhancement**: Built-in `AIEnhancer` with local SLM support, pluggable `Enhancer` protocol, and [apcore-refinery](https://github.com/aipartnerup/apcore-refinery) for production use.
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- **🤖 AI Enhancement**: Built-in `AIEnhancer` with local SLM support, pluggable `Enhancer` protocol, and [apcore-refinery](https://github.com/aiperceivable/apcore-refinery) for production use.
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- **📝 Markdown Formatting**: Convert arbitrary data structures to structured Markdown.
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```toml
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[dependencies]
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apcore-toolkit = { git = "https://github.com/aipartnerup/apcore-toolkit-rust" }
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apcore-toolkit = { git = "https://github.com/aiperceivable/apcore-toolkit-rust" }
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```
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Requires Rust 1.70+ and apcore 0.13.0+.
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docs/ai-enhancement.md

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## 5. Recommended: apcore-refinery
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For production-grade enhancement, we recommend **[apcore-refinery](https://github.com/aipartnerup/apcore-refinery)** — a dedicated tool with specialized prompts, flexible model selection, and CI integration.
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For production-grade enhancement, we recommend **[apcore-refinery](https://github.com/aiperceivable/apcore-refinery)** — a dedicated tool with specialized prompts, flexible model selection, and CI integration.
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```bash
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# Scan with toolkit, then refine with apcore-refinery

docs/features/overview.md

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| **[Schema Utilities](pydantic.md)** | Flatten complex models (Pydantic / Zod) for easier AI interaction. |
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| **[Output Writers](output-writers.md)** | Export metadata to YAML bindings, source code wrappers, or direct Registry registration — with optional output verification. |
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| **[Formatting](formatting.md)** | Convert data structures into beautiful, human-readable Markdown. |
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| **[AI Enhancement](../ai-enhancement.md)** | Pluggable `Enhancer` protocol with built-in `AIEnhancer` for local SLMs; [apcore-refinery](https://github.com/aipartnerup/apcore-refinery) recommended for production. |
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| **[AI Enhancement](../ai-enhancement.md)** | Pluggable `Enhancer` protocol with built-in `AIEnhancer` for local SLMs; [apcore-refinery](https://github.com/aiperceivable/apcore-refinery) recommended for production. |
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## Design Philosophy
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docs/features/scanning.md

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| `GET` with stable results, no auth-dependent data | `cacheable=True` |
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| `Paginator`, `LIMIT/OFFSET`, cursor tokens | `paginated=True` |
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Static analysis can detect some of these patterns. For ambiguous cases, the built-in [AIEnhancer](../ai-enhancement.md) or [apcore-refinery](https://github.com/aipartnerup/apcore-refinery) can assist with AI-based inference.
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Static analysis can detect some of these patterns. For ambiguous cases, the built-in [AIEnhancer](../ai-enhancement.md) or [apcore-refinery](https://github.com/aiperceivable/apcore-refinery) can assist with AI-based inference.
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## Implementation Example
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docs/getting-started.md

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3. **Run your scanner** with `--ai-enhance`: Missing descriptions, annotations, and schemas will be inferred automatically.
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For production use, we recommend **[apcore-refinery](https://github.com/aipartnerup/apcore-refinery)** which provides better prompts, model flexibility, and CI integration:
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For production use, we recommend **[apcore-refinery](https://github.com/aiperceivable/apcore-refinery)** which provides better prompts, model flexibility, and CI integration:
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- **[Features Overview](features/overview.md)** — Deep dive into all toolkit capabilities.
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- **[AI Enhancement Guide](ai-enhancement.md)** — Enhancer protocol, built-in AIEnhancer, and apcore-refinery.
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- **[Changelog](../CHANGELOG.md)** — See what's new in the latest release.
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- **[apcore Documentation](https://aipartnerup.github.io/apcore/)** — Learn more about the core framework.
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- **[apcore Documentation](https://aiperceivable.github.io/apcore/)** — Learn more about the core framework.

mkdocs.yml

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site_name: apcore-toolkit
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site_description: Shared scanner, schema extraction, and output toolkit for apcore framework adapters.
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repo_url: https://github.com/aipartnerup/apcore-toolkit
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repo_name: aipartnerup/apcore-toolkit
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repo_url: https://github.com/aiperceivable/apcore-toolkit
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repo_name: aiperceivable/apcore-toolkit
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theme:
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name: material

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