# AGENTS.md

Instructions for AI coding agents working in the Python codebase.

**Key Documentation:**
- [DEV_SETUP.md](DEV_SETUP.md) - Development environment setup and available poe tasks
- [CODING_STANDARD.md](CODING_STANDARD.md) - Coding standards, docstring format, and performance guidelines
- [samples/SAMPLE_GUIDELINES.md](samples/SAMPLE_GUIDELINES.md) - Sample structure and guidelines

**Agent Skills** (`.github/skills/`) — detailed, task-specific instructions loaded on demand:
- `python-development` — coding standards, type annotations, docstrings, logging, performance
- `python-testing` — test structure, fixtures, async mode, running tests
- `python-code-quality` — linting, formatting, type checking, prek hooks, CI workflow
- `python-feature-lifecycle` — package vs feature lifecycle stages, decorators, enums, and promotion guidance
- `python-package-management` — monorepo structure, lazy loading, versioning, new packages
- `pull-requests` — writing PR descriptions (template) and handling/resolving PR review comments
- `agent-framework-py-release` — Python release PR workflow, CHANGELOG-driven package bumps, lifecycle version rules, and dependency-floor validation

## Maintaining Documentation

When making changes to a package, check if the following need updates:
- The package's `AGENTS.md` file (adding/removing/renaming public APIs, architecture changes, import path changes)
- The agent skills in `.github/skills/` if conventions, commands, or workflows change

At the end of every run, re-read `AGENTS.md` and the relevant skill files and
update any guidance that the conversation revealed to be out of date,
incomplete, or misleading (renamed files, changed commands, new conventions
the user confirmed, etc.). **Before adding a new principle or rule, ask the
user whether they want it captured as a durable principle** — do not invent
team norms from a single conversation without explicit confirmation.

## Terminology

- **Avoid "GA" for Agent Framework code.** Reserve *GA* for hosted services
  (e.g. "the Foundry service is GA"). For Agent Framework packages, features,
  and APIs use **"released"** or **"stable"** depending on context — these
  match the feature-lifecycle stages documented in the
  `python-feature-lifecycle` skill.

## Pull Request Description Guidance

When preparing a PR description:
- Follow the repository PR template at `.github/pull_request_template.md` and keep its structure/headings.
- Describe the net change relative to `main` (this is implied; do not call it out explicitly as "vs main").
- Do not add ad-hoc validation sections (for example, "Validation" or "Tests run"); CI/CD and the template checklist cover validation status.

## Quick Reference

Run `uv run poe` from the `python/` directory to see available commands. See [DEV_SETUP.md](DEV_SETUP.md) for detailed usage.

## Project Structure

```
python/
├── packages/
│   ├── core/                 # agent-framework-core (main package)
│   │   ├── agent_framework/  # Public API exports
│   │   └── tests/
│   ├── foundry/              # agent-framework-foundry
│   ├── anthropic/            # agent-framework-anthropic
│   ├── ollama/               # agent-framework-ollama
│   └── ...                   # Other provider packages
├── samples/                  # Sample code and examples
├── .github/skills/           # Agent skills for Copilot
└── tests/                    # Integration tests
```

### Package Relationships

- `agent-framework-core` contains core abstractions and OpenAI/Azure OpenAI built-in
- Provider packages (`foundry`, `anthropic`, etc.) extend core with specific integrations
- The root `agent_framework` public API is lazy-loaded from `packages/core/agent_framework/__init__.py` and
  described for type checkers in `packages/core/agent_framework/__init__.pyi`; keep both plus `__all__` in sync.
- Core uses lazy loading via `__getattr__` in provider folders (e.g., `agent_framework/azure/`)

## Package Documentation

### Core
- [core](packages/core/AGENTS.md) - Core abstractions, types, and built-in OpenAI/Azure OpenAI support

### LLM Providers
- [anthropic](packages/anthropic/AGENTS.md) - Anthropic Claude API
- [bedrock](packages/bedrock/AGENTS.md) - AWS Bedrock
- [claude](packages/claude/AGENTS.md) - Claude Agent SDK
- [foundry_local](packages/foundry_local/AGENTS.md) - Azure AI Foundry Local
- [ollama](packages/ollama/AGENTS.md) - Local Ollama inference

### Azure Integrations
- [foundry](packages/foundry/README.md) - Microsoft Foundry chat, agent, memory, and embedding integrations
- [azure-contentunderstanding](packages/azure-contentunderstanding/AGENTS.md) - Azure Content Understanding context provider
- [azure-ai-search](packages/azure-ai-search/AGENTS.md) - Azure AI Search RAG
- [azure-cosmos](packages/azure-cosmos/AGENTS.md) - Azure Cosmos DB-backed history provider
- [azurefunctions](packages/azurefunctions/AGENTS.md) - Azure Functions hosting

### Protocols & UI
- [a2a](packages/a2a/AGENTS.md) - Agent-to-Agent protocol
- [ag-ui](packages/ag-ui/AGENTS.md) - AG-UI protocol
- [chatkit](packages/chatkit/AGENTS.md) - OpenAI ChatKit integration
- [devui](packages/devui/AGENTS.md) - Developer UI for testing

### Storage & Memory
- [mem0](packages/mem0/AGENTS.md) - Mem0 memory integration
- [redis](packages/redis/AGENTS.md) - Redis storage

### Infrastructure
- [copilotstudio](packages/copilotstudio/AGENTS.md) - Microsoft Copilot Studio
- [declarative](packages/declarative/AGENTS.md) - YAML/JSON agent definitions
- [durabletask](packages/durabletask/AGENTS.md) - Durable execution
- [github_copilot](packages/github_copilot/AGENTS.md) - GitHub Copilot extensions
- [purview](packages/purview/AGENTS.md) - Data governance

### Experimental
- [lab](packages/lab/AGENTS.md) - Experimental features
- [monty](packages/monty/AGENTS.md) - Monty-backed CodeAct integrations (alpha)
