nanobot
HKUDS/nanobot/AGENTS.md
This file provides guidance to AI coding agents working with this repository. nanobot is a lightweight, open-source AI agent framework written in Python with a React/TypeScript WebUI. It centers around a small agent loop that receives messages from chat channels, invokes an LLM provider, executes tools, and manages session memory. Messages flow through an async MessageBus (nanobot/bus/queue.py) that decouples chat channels from the agent core:
AGENTS.md49k starsChanged 5 months ago
This file provides guidance to AI coding agents working with this repository. ## Project Overview nanobot is a lightweight, open-source AI agent framework written in Python with a React/TypeScript WebUI. It centers around a small agent loop that receives messages from chat channels, invokes an LLM provider, executes tools, and manages session memory. ## Development Commands ```bash # Python: run single test / lint pytest tests/test_openai_api.py::test_function -v ruff check nanobot/ # Strict type checking (matches CI) uv sync --all-extras --dev uv run --no-sync python -m scripts.install_channel_dependencies --all-channels uv run --no-sync basedpyright # WebUI: dev server (proxies API/WS to gateway :8765), build, test # Build outputs to ../nanobot/web/dist (bundled into the Python wheel) cd webui && bun run dev # or NANOBOT_API_URL=... bun run dev cd webui && bun run build cd webui && bun run test # Gateway nanobot gateway ``` ## High-Level Architecture ### Core Data Flow Messages flow through an async `MessageBus` (`nanobot/bus/queue.py`) that decouples chat channels from the agent core: 1. **Channels** (`nanobot/channels/`) receive messages from external platforms and publish `InboundMessage` events to the bus. 2. **`AgentLoop`** (`nanobot/agent/loop.py`) consumes inbound messages, builds context, and coordinates the turn. 3. **`AgentRunner`** (`nanobot/agent/runner.py`) handles the actual LLM conversation loop: send messages to the provider, receive tool calls, execute tools, and stream responses. 4. Responses are published as `OutboundMessage` events back to the appropriate channel. ### Key Subsystems - **Agent Loop** (`nanobot/agent/loop.py`, `runner.py`): The core processing engine. `AgentLoop` manages session keys, hooks, and context building. `AgentRunner` executes the multi-turn LLM conversation with tool execution. - **LLM Providers** (`nanobot/providers/`): Provider implementations (Anthropic, OpenAI-compatible, OpenAI Responses API, Azure, Bedrock, GitHub Copilot, OpenAI Codex, etc.) built on a common base (`base.py`). Includes image generation (`image_generation.py`) and audio transcription (`transcription.py`). `factory.py` and `registry.py` handle instantiation and model discovery. - **Channels** (`nanobot/channels/`): Platform integrations (Telegram, Discord, Slack, Feishu, Matrix, WhatsApp, QQ, WeChat, WeCom, DingTalk, Email, MoChat, MS Teams, WebSocket, Mattermost). `manager.py` discovers and coordinates them. Channels are self-contained packages auto-discovered via `pkgutil` scanning. - **Tools** (`nanobot/agent/tools/`): Agent capabilities exposed to the LLM: filesystem (read/write/edit/list), shell execution (with sandbox backends), web search/fetch, MCP servers, cron, notebook editing, subagent spawning, long-running tasks / sustained goals (`long_task.py`), image generation, and self-modification. Tools are auto-discovered via `pkgutil` scan + entry-point plugins. - **Memory** (`nanobot/agent/memory.py`): Session history persistence with Dream two-phase memory consolidation. Uses atomic writes with fsync for durability. - **Session Management** (`nanobot/session/`): Per-session history, context compaction, TTL-based auto-compaction (`manager.py`), and sustained goal state tracking (`goal_state.py`). - **Config** (`nanobot/config/schema.py`, `loader.py`): Pydantic-based configuration loaded from `~/.nanobot/config.json`. Supports camelCase aliases for JSON compatibility. - **WebUI** (`webui/`): Vite-based React SPA that talks to the gateway over a WebSocket multiplex protocol. The dev server proxies `/api`, `/webui`, `/auth`, and WebSocket traffic to the gateway. - **API Server** (`nanobot/api/server.py`): OpenAI-compatible HTTP API (`/v1/chat/completions`, `/v1/models`) for programmatic access. - **Command Router** (`nanobot/command/`): Slash command routing and built-in command handlers. - **Heartbeat** (`nanobot/templates/HEARTBEAT.md`): Periodic task list checked via `cron` jobs (legacy dedicated service removed). - **Pairing** (`nanobot/pairing/`): DM sender approval store with persistent pairing codes per channel. - **Skills** (`nanobot/skills/`): Built-in skill definitions (cron, github, image-generation, etc.) loaded into agent context. - **Security** (`nanobot/security/`): PTH file guard and other security measures activated at CLI entry. ### Entry Points - **CLI**: `nanobot/cli/commands.py` - **Python SDK**: `nanobot/nanobot.py` ## Project-Specific Notes - Architecture constraints: [`.agent/design.md`](.agent/design.md) - Security boundaries: [`.agent/security.md`](.agent/security.md) - Common gotchas: [`.agent/gotchas.md`](.agent/gotchas.md) ## Contribution Flow See [`CONTRIBUTING.md`](./CONTRIBUTING.md) for contribution flow and PR guidelines. ## Code Style - Python 3.11+, asyncio throughout. - Line length: 100. - Linting: `ruff` with rules E, F, I, N, W (E501 ignored). - pytest with `asyncio_mode = "auto"`. ## Common File Locations - Config schema: `nanobot/config/schema.py` - Provider base / new provider template: `nanobot/providers/base.py` - Channel base / new channel template: `nanobot/channels/base.py` - Tool registry: `nanobot/agent/tools/registry.py` - WebUI dev proxy config: `webui/vite.config.ts` - Tests mirror the `nanobot/` package structure.
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