Metadata-Version: 2.4
Name: wardhook
Version: 0.1.0
Summary: Governance and observability for LangGraph agents: installs all four Wardhook packages.
Project-URL: Homepage, https://github.com/justicebajaj161/wardhook
Project-URL: Documentation, https://github.com/justicebajaj161/wardhook/blob/main/docs/quickstart.md
Project-URL: Repository, https://github.com/justicebajaj161/wardhook
Project-URL: Issues, https://github.com/justicebajaj161/wardhook/issues
Project-URL: Changelog, https://github.com/justicebajaj161/wardhook/blob/main/CHANGELOG.md
Author-email: Aditya Gupta <adityabajaj161@gmail.com>
Maintainer-email: Aditya Gupta <adityabajaj161@gmail.com>
License: MIT License
        
        Copyright (c) 2026 Aditya Gupta
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
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        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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License-File: LICENSE
Keywords: agents,evals,governance,guardrails,langgraph,observability
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.10
Requires-Dist: wardhook-core==0.1.0
Requires-Dist: wardhook-evals==0.1.0
Requires-Dist: wardhook-guardrails==0.1.0
Requires-Dist: wardhook-observability==0.1.0
Provides-Extra: all
Requires-Dist: wardhook-core[all]==0.1.0; extra == 'all'
Requires-Dist: wardhook-evals[judge]==0.1.0; extra == 'all'
Provides-Extra: anthropic
Requires-Dist: wardhook-core[anthropic]==0.1.0; extra == 'anthropic'
Provides-Extra: chroma
Requires-Dist: wardhook-core[chroma]==0.1.0; extra == 'chroma'
Provides-Extra: judge
Requires-Dist: wardhook-evals[judge]==0.1.0; extra == 'judge'
Provides-Extra: openai
Requires-Dist: wardhook-core[openai]==0.1.0; extra == 'openai'
Description-Content-Type: text/markdown

# wardhook

[![License: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](../../LICENSE)
[![Python 3.10+](https://img.shields.io/badge/python-3.10%20%7C%203.11%20%7C%203.12%20%7C%203.13-blue.svg)](https://www.python.org)

Governance and observability for LangGraph agents.

This package contains no code. It installs all four Wardhook packages at a
matching version, for when you want the whole toolkit:

```bash
pip install wardhook
```

Which is equivalent to:

```bash
pip install wardhook-core wardhook-guardrails wardhook-observability wardhook-evals
```

| Package | What it does |
| --- | --- |
| [wardhook-core](../wardhook-core) | LangGraph agent runtime, tool calling, RAG with real source citations, one-command FastAPI server |
| [wardhook-guardrails](../wardhook-guardrails) | PII redaction, prompt-injection scoring, tool RBAC, compliance audit trail |
| [wardhook-observability](../wardhook-observability) | Per-node tokens, cost, and latency; static HTML trace viewer |
| [wardhook-evals](../wardhook-evals) | JSONL test cases, pass/fail runner, baseline regression detection |

## Extras

Provider clients and optional backends, passed through to whichever package
owns them:

```bash
pip install "wardhook[anthropic]"   # langchain-anthropic, for a real model
pip install "wardhook[openai]"      # langchain-openai
pip install "wardhook[chroma]"      # Chroma vector store instead of the built-in one
pip install "wardhook[judge]"       # langchain-core, for the llm_judge eval criterion
pip install "wardhook[all]"         # all of the above
```

## Should you use this, or the individual packages?

**Use the individual packages** if you want one capability. Each installs and
works entirely alone — that is the point of the project, and CI proves it by
installing each one in an environment containing no other Wardhook package and
running its suite there. `wardhook-guardrails` in particular has a single
runtime dependency (PyYAML) and needs no agent framework at all.

**Use this package** if you want all four and would rather write one line. It
pins each dependency to an exact version, so `wardhook==0.1.0` means precisely
the 0.1.0 set. If you need to mix versions, depend on the packages directly.

## Links

- [Quickstart](../../docs/quickstart.md) — all four packages into one working agent
- [Architecture overview](../../docs/architecture.md) — how they compose without importing each other
- [Main repository](https://github.com/justicebajaj161/wardhook)
