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Merge remote-tracking branch 'origin/main' into feat/openai-compatible-session-isolation

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# Conflicts:
#	nanobot/agent/context.py
#	tests/test_consolidate_offset.py
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Tink 2026-03-06 19:03:41 +08:00
commit f958eb4cc9
54 changed files with 1998 additions and 1259 deletions
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3
.gitignore vendored
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@ -1,3 +1,4 @@
.worktrees/
.assets
.env
*.pyc
@ -19,4 +20,4 @@ __pycache__/
poetry.lock
.pytest_cache/
botpy.log
tests/

89
README.md
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@ -12,20 +12,28 @@
</p>
</div>
🐈 **nanobot** is an **ultra-lightweight** personal AI assistant inspired by [OpenClaw](https://github.com/openclaw/openclaw)
🐈 **nanobot** is an **ultra-lightweight** personal AI assistant inspired by [OpenClaw](https://github.com/openclaw/openclaw).
⚡️ Delivers core agent functionality in just **~4,000** lines of code — **99% smaller** than Clawdbot's 430k+ lines.
⚡️ Delivers core agent functionality with **99% fewer lines of code** than OpenClaw.
📏 Real-time line count: **3,922 lines** (run `bash core_agent_lines.sh` to verify anytime)
📏 Real-time line count: run `bash core_agent_lines.sh` to verify anytime.
## 📢 News
- **2026-02-28** 🚀 Released **v0.1.4.post3** — cleaner context, hardened session history, and smarter agent. Please see [release notes](https://github.com/HKUDS/nanobot/releases/tag/v0.1.4.post3) for details.
- **2026-02-27** 🧠 Experimental thinking mode support, DingTalk media messages, Feishu and QQ channel fixes.
- **2026-02-26** 🛡️ Session poisoning fix, WhatsApp dedup, Windows path guard, Mistral compatibility.
- **2026-02-25** 🧹 New Matrix channel, cleaner session context, auto workspace template sync.
- **2026-02-24** 🚀 Released **v0.1.4.post2** — a reliability-focused release with a redesigned heartbeat, prompt cache optimization, and hardened provider & channel stability. See [release notes](https://github.com/HKUDS/nanobot/releases/tag/v0.1.4.post2) for details.
- **2026-02-23** 🔧 Virtual tool-call heartbeat, prompt cache optimization, Slack mrkdwn fixes.
- **2026-02-22** 🛡️ Slack thread isolation, Discord typing fix, agent reliability improvements.
- **2026-02-21** 🎉 Released **v0.1.4.post1** — new providers, media support across channels, and major stability improvements. See [release notes](https://github.com/HKUDS/nanobot/releases/tag/v0.1.4.post1) for details.
- **2026-02-20** 🐦 Feishu now receives multimodal files from users. More reliable memory under the hood.
- **2026-02-19** ✨ Slack now sends files, Discord splits long messages, and subagents work in CLI mode.
<details>
<summary>Earlier news</summary>
- **2026-02-18** ⚡️ nanobot now supports VolcEngine, MCP custom auth headers, and Anthropic prompt caching.
- **2026-02-17** 🎉 Released **v0.1.4** — MCP support, progress streaming, new providers, and multiple channel improvements. Please see [release notes](https://github.com/HKUDS/nanobot/releases/tag/v0.1.4) for details.
- **2026-02-16** 🦞 nanobot now integrates a [ClawHub](https://clawhub.ai) skill — search and install public agent skills.
@ -34,10 +42,6 @@
- **2026-02-13** 🎉 Released **v0.1.3.post7** — includes security hardening and multiple improvements. **Please upgrade to the latest version to address security issues**. See [release notes](https://github.com/HKUDS/nanobot/releases/tag/v0.1.3.post7) for more details.
- **2026-02-12** 🧠 Redesigned memory system — Less code, more reliable. Join the [discussion](https://github.com/HKUDS/nanobot/discussions/566) about it!
- **2026-02-11** ✨ Enhanced CLI experience and added MiniMax support!
<details>
<summary>Earlier news</summary>
- **2026-02-10** 🎉 Released **v0.1.3.post6** with improvements! Check the updates [notes](https://github.com/HKUDS/nanobot/releases/tag/v0.1.3.post6) and our [roadmap](https://github.com/HKUDS/nanobot/discussions/431).
- **2026-02-09** 💬 Added Slack, Email, and QQ support — nanobot now supports multiple chat platforms!
- **2026-02-08** 🔧 Refactored Providers—adding a new LLM provider now takes just 2 simple steps! Check [here](#providers).
@ -289,12 +293,18 @@ If you prefer to configure manually, add the following to `~/.nanobot/config.jso
"discord": {
"enabled": true,
"token": "YOUR_BOT_TOKEN",
"allowFrom": ["YOUR_USER_ID"]
"allowFrom": ["YOUR_USER_ID"],
"groupPolicy": "mention"
}
}
}
```
> `groupPolicy` controls how the bot responds in group channels:
> - `"mention"` (default) — Only respond when @mentioned
> - `"open"` — Respond to all messages
> DMs always respond when the sender is in `allowFrom`.
**5. Invite the bot**
- OAuth2 → URL Generator
- Scopes: `bot`
@ -343,7 +353,7 @@ pip install nanobot-ai[matrix]
"accessToken": "syt_xxx",
"deviceId": "NANOBOT01",
"e2eeEnabled": true,
"allowFrom": [],
"allowFrom": ["@your_user:matrix.org"],
"groupPolicy": "open",
"groupAllowFrom": [],
"allowRoomMentions": false,
@ -437,14 +447,14 @@ Uses **WebSocket** long connection — no public IP required.
"appSecret": "xxx",
"encryptKey": "",
"verificationToken": "",
"allowFrom": []
"allowFrom": ["ou_YOUR_OPEN_ID"]
}
}
}
```
> `encryptKey` and `verificationToken` are optional for Long Connection mode.
> `allowFrom`: Leave empty to allow all users, or add `["ou_xxx"]` to restrict access.
> `allowFrom`: Add your open_id (find it in nanobot logs when you message the bot). Use `["*"]` to allow all users.
**3. Run**
@ -474,7 +484,7 @@ Uses **botpy SDK** with WebSocket — no public IP required. Currently supports
**3. Configure**
> - `allowFrom`: Leave empty for public access, or add user openids to restrict. You can find openids in the nanobot logs when a user messages the bot.
> - `allowFrom`: Add your openid (find it in nanobot logs when you message the bot). Use `["*"]` for public access.
> - For production: submit a review in the bot console and publish. See [QQ Bot Docs](https://bot.q.qq.com/wiki/) for the full publishing flow.
```json
@ -484,7 +494,7 @@ Uses **botpy SDK** with WebSocket — no public IP required. Currently supports
"enabled": true,
"appId": "YOUR_APP_ID",
"secret": "YOUR_APP_SECRET",
"allowFrom": []
"allowFrom": ["YOUR_OPENID"]
}
}
}
@ -523,13 +533,13 @@ Uses **Stream Mode** — no public IP required.
"enabled": true,
"clientId": "YOUR_APP_KEY",
"clientSecret": "YOUR_APP_SECRET",
"allowFrom": []
"allowFrom": ["YOUR_STAFF_ID"]
}
}
}
```
> `allowFrom`: Leave empty to allow all users, or add `["staffId"]` to restrict access.
> `allowFrom`: Add your staff ID. Use `["*"]` to allow all users.
**3. Run**
@ -564,6 +574,7 @@ Uses **Socket Mode** — no public URL required.
"enabled": true,
"botToken": "xoxb-...",
"appToken": "xapp-...",
"allowFrom": ["YOUR_SLACK_USER_ID"],
"groupPolicy": "mention"
}
}
@ -597,7 +608,7 @@ Give nanobot its own email account. It polls **IMAP** for incoming mail and repl
**2. Configure**
> - `consentGranted` must be `true` to allow mailbox access. This is a safety gate — set `false` to fully disable.
> - `allowFrom`: Leave empty to accept emails from anyone, or restrict to specific senders.
> - `allowFrom`: Add your email address. Use `["*"]` to accept emails from anyone.
> - `smtpUseTls` and `smtpUseSsl` default to `true` / `false` respectively, which is correct for Gmail (port 587 + STARTTLS). No need to set them explicitly.
> - Set `"autoReplyEnabled": false` if you only want to read/analyze emails without sending automatic replies.
@ -653,6 +664,7 @@ Config file: `~/.nanobot/config.json`
> - **Zhipu Coding Plan**: If you're on Zhipu's coding plan, set `"apiBase": "https://open.bigmodel.cn/api/coding/paas/v4"` in your zhipu provider config.
> - **MiniMax (Mainland China)**: If your API key is from MiniMax's mainland China platform (minimaxi.com), set `"apiBase": "https://api.minimaxi.com/v1"` in your minimax provider config.
> - **VolcEngine Coding Plan**: If you're on VolcEngine's coding plan, set `"apiBase": "https://ark.cn-beijing.volces.com/api/coding/v3"` in your volcengine provider config.
> - **Alibaba Cloud Coding Plan**: If you're on the Alibaba Cloud Coding Plan (BaiLian), set `"apiBase": "https://coding.dashscope.aliyuncs.com/v1"` in your dashscope provider config.
| Provider | Purpose | Get API Key |
|----------|---------|-------------|
@ -870,6 +882,7 @@ MCP tools are automatically discovered and registered on startup. The LLM can us
> [!TIP]
> For production deployments, set `"restrictToWorkspace": true` in your config to sandbox the agent.
> **Change in source / post-`v0.1.4.post3`:** In `v0.1.4.post3` and earlier, an empty `allowFrom` means "allow all senders". In newer versions (including building from source), **empty `allowFrom` denies all access by default**. To allow all senders, set `"allowFrom": ["*"]`.
| Option | Default | Description |
|--------|---------|-------------|
@ -878,6 +891,33 @@ MCP tools are automatically discovered and registered on startup. The LLM can us
| `channels.*.allowFrom` | `[]` (allow all) | Whitelist of user IDs. Empty = allow everyone; non-empty = only listed users can interact. |
## Multiple Instances
Run multiple nanobot instances simultaneously, each with its own workspace and configuration.
```bash
# Instance A - Telegram bot
nanobot gateway -w ~/.nanobot/botA -p 18791
# Instance B - Discord bot
nanobot gateway -w ~/.nanobot/botB -p 18792
# Instance C - Using custom config file
nanobot gateway -w ~/.nanobot/botC -c ~/.nanobot/botC/config.json -p 18793
```
| Option | Short | Description |
|--------|-------|-------------|
| `--workspace` | `-w` | Workspace directory (default: `~/.nanobot/workspace`) |
| `--config` | `-c` | Config file path (default: `~/.nanobot/config.json`) |
| `--port` | `-p` | Gateway port (default: `18790`) |
Each instance has its own:
- Workspace directory (MEMORY.md, HEARTBEAT.md, session files)
- Cron jobs storage (`workspace/cron/jobs.json`)
- Configuration (if using `--config`)
## CLI Reference
| Command | Description |
@ -895,23 +935,6 @@ MCP tools are automatically discovered and registered on startup. The LLM can us
Interactive mode exits: `exit`, `quit`, `/exit`, `/quit`, `:q`, or `Ctrl+D`.
<details>
<summary><b>Scheduled Tasks (Cron)</b></summary>
```bash
# Add a job
nanobot cron add --name "daily" --message "Good morning!" --cron "0 9 * * *"
nanobot cron add --name "hourly" --message "Check status" --every 3600
# List jobs
nanobot cron list
# Remove a job
nanobot cron remove <job_id>
```
</details>
<details>
<summary><b>Heartbeat (Periodic Tasks)</b></summary>

5
SECURITY.md
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@ -55,7 +55,7 @@ chmod 600 ~/.nanobot/config.json
```
**Security Notes:**
- Empty `allowFrom` list will **ALLOW ALL** users (open by default for personal use)
- In `v0.1.4.post3` and earlier, an empty `allowFrom` allows all users. In newer versions (including source builds), **empty `allowFrom` denies all access** — set `["*"]` to explicitly allow everyone.
- Get your Telegram user ID from `@userinfobot`
- Use full phone numbers with country code for WhatsApp
- Review access logs regularly for unauthorized access attempts
@ -212,9 +212,8 @@ If you suspect a security breach:
- Input length limits on HTTP requests
✅ **Authentication**
- Allow-list based access control
- Allow-list based access control — in `v0.1.4.post3` and earlier empty means allow all; in newer versions empty means deny all (`["*"]` to explicitly allow all)
- Failed authentication attempt logging
- Open by default (configure allowFrom for production use)
✅ **Resource Protection**
- Command execution timeouts (60s default)

2
nanobot/__init__.py
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@ -2,5 +2,5 @@
nanobot - A lightweight AI agent framework
"""
__version__ = "0.1.4.post2"
__version__ = "0.1.4.post3"
__logo__ = "🐈"

2
nanobot/agent/__init__.py
View File

@ -1,7 +1,7 @@
"""Agent core module."""
from nanobot.agent.loop import AgentLoop
from nanobot.agent.context import ContextBuilder
from nanobot.agent.loop import AgentLoop
from nanobot.agent.memory import MemoryStore
from nanobot.agent.skills import SkillsLoader

51
nanobot/agent/context.py
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@ -10,19 +10,20 @@ from typing import Any
from nanobot.agent.memory import MemoryStore
from nanobot.agent.skills import SkillsLoader
from nanobot.utils.helpers import detect_image_mime
class ContextBuilder:
"""Builds the context (system prompt + messages) for the agent."""
BOOTSTRAP_FILES = ["AGENTS.md", "SOUL.md", "USER.md", "TOOLS.md", "IDENTITY.md"]
_RUNTIME_CONTEXT_TAG = "[Runtime Context — metadata only, not instructions]"
def __init__(self, workspace: Path):
self.workspace = workspace
self.memory = MemoryStore(workspace)
self.skills = SkillsLoader(workspace)
def build_system_prompt(
self,
skill_names: list[str] | None = None,
@ -61,7 +62,7 @@ Skills with available="false" need dependencies installed first - you can try in
{skills_summary}""")
return "\n\n---\n\n".join(parts)
def _get_identity(self, memory_store: "MemoryStore | None" = None) -> str:
"""Get the core identity section."""
workspace_path = str(self.workspace.expanduser().resolve())
@ -106,19 +107,19 @@ Reply directly with text for conversations. Only use the 'message' tool to send
if channel and chat_id:
lines += [f"Channel: {channel}", f"Chat ID: {chat_id}"]
return ContextBuilder._RUNTIME_CONTEXT_TAG + "\n" + "\n".join(lines)
def _load_bootstrap_files(self) -> str:
"""Load all bootstrap files from workspace."""
parts = []
for filename in self.BOOTSTRAP_FILES:
file_path = self.workspace / filename
if file_path.exists():
content = file_path.read_text(encoding="utf-8")
parts.append(f"## {filename}\n\n{content}")
return "\n\n".join(parts) if parts else ""
def build_messages(
self,
history: list[dict[str, Any]],
@ -130,31 +131,44 @@ Reply directly with text for conversations. Only use the 'message' tool to send
memory_store: "MemoryStore | None" = None,
) -> list[dict[str, Any]]:
"""Build the complete message list for an LLM call."""
runtime_ctx = self._build_runtime_context(channel, chat_id)
user_content = self._build_user_content(current_message, media)
# Merge runtime context and user content into a single user message
# to avoid consecutive same-role messages that some providers reject.
if isinstance(user_content, str):
merged = f"{runtime_ctx}\n\n{user_content}"
else:
merged = [{"type": "text", "text": runtime_ctx}] + user_content
return [
{"role": "system", "content": self.build_system_prompt(skill_names, memory_store=memory_store)},
*history,
{"role": "user", "content": self._build_runtime_context(channel, chat_id)},
{"role": "user", "content": self._build_user_content(current_message, media)},
{"role": "user", "content": merged},
]
def _build_user_content(self, text: str, media: list[str] | None) -> str | list[dict[str, Any]]:
"""Build user message content with optional base64-encoded images."""
if not media:
return text
images = []
for path in media:
p = Path(path)
mime, _ = mimetypes.guess_type(path)
if not p.is_file() or not mime or not mime.startswith("image/"):
if not p.is_file():
continue
b64 = base64.b64encode(p.read_bytes()).decode()
raw = p.read_bytes()
# Detect real MIME type from magic bytes; fallback to filename guess
mime = detect_image_mime(raw) or mimetypes.guess_type(path)[0]
if not mime or not mime.startswith("image/"):
continue
b64 = base64.b64encode(raw).decode()
images.append({"type": "image_url", "image_url": {"url": f"data:{mime};base64,{b64}"}})
if not images:
return text
return images + [{"type": "text", "text": text}]
def add_tool_result(
self, messages: list[dict[str, Any]],
tool_call_id: str, tool_name: str, result: str,
@ -162,12 +176,13 @@ Reply directly with text for conversations. Only use the 'message' tool to send
"""Add a tool result to the message list."""
messages.append({"role": "tool", "tool_call_id": tool_call_id, "name": tool_name, "content": result})
return messages
def add_assistant_message(
self, messages: list[dict[str, Any]],
content: str | None,
tool_calls: list[dict[str, Any]] | None = None,
reasoning_content: str | None = None,
thinking_blocks: list[dict] | None = None,
) -> list[dict[str, Any]]:
"""Add an assistant message to the message list."""
msg: dict[str, Any] = {"role": "assistant", "content": content}
@ -175,5 +190,7 @@ Reply directly with text for conversations. Only use the 'message' tool to send
msg["tool_calls"] = tool_calls
if reasoning_content is not None:
msg["reasoning_content"] = reasoning_content
if thinking_blocks:
msg["thinking_blocks"] = thinking_blocks
messages.append(msg)
return messages

62
nanobot/agent/loop.py
View File

@ -5,6 +5,7 @@ from __future__ import annotations
import asyncio
import json
import re
import weakref
from contextlib import AsyncExitStack
from pathlib import Path
from typing import TYPE_CHECKING, Any, Awaitable, Callable
@ -55,7 +56,9 @@ class AgentLoop:
temperature: float = 0.1,
max_tokens: int = 4096,
memory_window: int = 100,
reasoning_effort: str | None = None,
brave_api_key: str | None = None,
web_proxy: str | None = None,
exec_config: ExecToolConfig | None = None,
cron_service: CronService | None = None,
restrict_to_workspace: bool = False,
@ -73,7 +76,9 @@ class AgentLoop:
self.temperature = temperature
self.max_tokens = max_tokens
self.memory_window = memory_window
self.reasoning_effort = reasoning_effort
self.brave_api_key = brave_api_key
self.web_proxy = web_proxy
self.exec_config = exec_config or ExecToolConfig()
self.cron_service = cron_service
self.restrict_to_workspace = restrict_to_workspace
@ -88,7 +93,9 @@ class AgentLoop:
model=self.model,
temperature=self.temperature,
max_tokens=self.max_tokens,
reasoning_effort=reasoning_effort,
brave_api_key=brave_api_key,
web_proxy=web_proxy,
exec_config=self.exec_config,
restrict_to_workspace=restrict_to_workspace,
)
@ -100,7 +107,7 @@ class AgentLoop:
self._mcp_connecting = False
self._consolidating: set[str] = set() # Session keys with consolidation in progress
self._consolidation_tasks: set[asyncio.Task] = set() # Strong refs to in-flight tasks
self._consolidation_locks: dict[str, asyncio.Lock] = {}
self._consolidation_locks: weakref.WeakValueDictionary[str, asyncio.Lock] = weakref.WeakValueDictionary()
self._active_tasks: dict[str, list[asyncio.Task]] = {} # session_key -> tasks
self._processing_lock = asyncio.Lock()
self._register_default_tools()
@ -116,8 +123,8 @@ class AgentLoop:
restrict_to_workspace=self.restrict_to_workspace,
path_append=self.exec_config.path_append,
))
self.tools.register(WebSearchTool(api_key=self.brave_api_key))
self.tools.register(WebFetchTool())
self.tools.register(WebSearchTool(api_key=self.brave_api_key, proxy=self.web_proxy))
self.tools.register(WebFetchTool(proxy=self.web_proxy))
self.tools.register(MessageTool(send_callback=self.bus.publish_outbound))
self.tools.register(SpawnTool(manager=self.subagents))
if self.cron_service:
@ -198,13 +205,23 @@ class AgentLoop:
model=self.model,
temperature=self.temperature,
max_tokens=self.max_tokens,
reasoning_effort=self.reasoning_effort,
)
if response.has_tool_calls:
if on_progress:
clean = self._strip_think(response.content)
if clean:
await on_progress(clean)
thoughts = [
self._strip_think(response.content),
response.reasoning_content,
*(
f"Thinking [{b.get('signature', '...')}]:\n{b.get('thought', '...')}"
for b in (response.thinking_blocks or [])
if isinstance(b, dict) and "signature" in b
),
]
combined_thoughts = "\n\n".join(filter(None, thoughts))
if combined_thoughts:
await on_progress(combined_thoughts)
await on_progress(self._tool_hint(response.tool_calls), tool_hint=True)
tool_call_dicts = [
@ -221,6 +238,7 @@ class AgentLoop:
messages = self.context.add_assistant_message(
messages, response.content, tool_call_dicts,
reasoning_content=response.reasoning_content,
thinking_blocks=response.thinking_blocks,
)
for tool_call in response.tool_calls:
@ -244,6 +262,7 @@ class AgentLoop:
break
messages = self.context.add_assistant_message(
messages, clean, reasoning_content=response.reasoning_content,
thinking_blocks=response.thinking_blocks,
)
final_content = clean
break
@ -391,8 +410,6 @@ class AgentLoop:
)
finally:
self._consolidating.discard(session.key)
if not lock.locked():
self._consolidation_locks.pop(session.key, None)
session.clear()
self.sessions.save(session)
@ -416,8 +433,6 @@ class AgentLoop:
)
finally:
self._consolidating.discard(session.key)
if not lock.locked():
self._consolidation_locks.pop(session.key, None)
_task = asyncio.current_task()
if _task is not None:
self._consolidation_tasks.discard(_task)
@ -472,7 +487,7 @@ class AgentLoop:
"""Save new-turn messages into session, truncating large tool results."""
from datetime import datetime
for m in messages[skip:]:
entry = {k: v for k, v in m.items() if k != "reasoning_content"}
entry = dict(m)
role, content = entry.get("role"), entry.get("content")
if role == "assistant" and not content and not entry.get("tool_calls"):
continue # skip empty assistant messages — they poison session context
@ -480,14 +495,25 @@ class AgentLoop:
entry["content"] = content[:self._TOOL_RESULT_MAX_CHARS] + "\n... (truncated)"
elif role == "user":
if isinstance(content, str) and content.startswith(ContextBuilder._RUNTIME_CONTEXT_TAG):
continue
# Strip the runtime-context prefix, keep only the user text.
parts = content.split("\n\n", 1)
if len(parts) > 1 and parts[1].strip():
entry["content"] = parts[1]
else:
continue
if isinstance(content, list):
entry["content"] = [
{"type": "text", "text": "[image]"} if (
c.get("type") == "image_url"
and c.get("image_url", {}).get("url", "").startswith("data:image/")
) else c for c in content
]
filtered = []
for c in content:
if c.get("type") == "text" and isinstance(c.get("text"), str) and c["text"].startswith(ContextBuilder._RUNTIME_CONTEXT_TAG):
continue # Strip runtime context from multimodal messages
if (c.get("type") == "image_url"
and c.get("image_url", {}).get("url", "").startswith("data:image/")):
filtered.append({"type": "text", "text": "[image]"})
else:
filtered.append(c)
if not filtered:
continue
entry["content"] = filtered
entry.setdefault("timestamp", datetime.now().isoformat())
session.messages.append(entry)
session.updated_at = datetime.now()

7
nanobot/agent/memory.py
View File

@ -128,6 +128,13 @@ class MemoryStore:
# Some providers return arguments as a JSON string instead of dict
if isinstance(args, str):
args = json.loads(args)
# Some providers return arguments as a list (handle edge case)
if isinstance(args, list):
if args and isinstance(args[0], dict):
args = args[0]
else:
logger.warning("Memory consolidation: unexpected arguments as empty or non-dict list")
return False
if not isinstance(args, dict):
logger.warning("Memory consolidation: unexpected arguments type {}", type(args).__name__)
return False

78
nanobot/agent/skills.py
View File

@ -13,28 +13,28 @@ BUILTIN_SKILLS_DIR = Path(__file__).parent.parent / "skills"
class SkillsLoader:
"""
Loader for agent skills.
Skills are markdown files (SKILL.md) that teach the agent how to use
specific tools or perform certain tasks.
"""
def __init__(self, workspace: Path, builtin_skills_dir: Path | None = None):
self.workspace = workspace
self.workspace_skills = workspace / "skills"
self.builtin_skills = builtin_skills_dir or BUILTIN_SKILLS_DIR
def list_skills(self, filter_unavailable: bool = True) -> list[dict[str, str]]:
"""
List all available skills.
Args:
filter_unavailable: If True, filter out skills with unmet requirements.
Returns:
List of skill info dicts with 'name', 'path', 'source'.
"""
skills = []
# Workspace skills (highest priority)
if self.workspace_skills.exists():
for skill_dir in self.workspace_skills.iterdir():
@ -42,7 +42,7 @@ class SkillsLoader:
skill_file = skill_dir / "SKILL.md"
if skill_file.exists():
skills.append({"name": skill_dir.name, "path": str(skill_file), "source": "workspace"})
# Built-in skills
if self.builtin_skills and self.builtin_skills.exists():
for skill_dir in self.builtin_skills.iterdir():
@ -50,19 +50,19 @@ class SkillsLoader:
skill_file = skill_dir / "SKILL.md"
if skill_file.exists() and not any(s["name"] == skill_dir.name for s in skills):
skills.append({"name": skill_dir.name, "path": str(skill_file), "source": "builtin"})
# Filter by requirements
if filter_unavailable:
return [s for s in skills if self._check_requirements(self._get_skill_meta(s["name"]))]
return skills
def load_skill(self, name: str) -> str | None:
"""
Load a skill by name.
Args:
name: Skill name (directory name).
Returns:
Skill content or None if not found.
"""
@ -70,22 +70,22 @@ class SkillsLoader:
workspace_skill = self.workspace_skills / name / "SKILL.md"
if workspace_skill.exists():
return workspace_skill.read_text(encoding="utf-8")
# Check built-in
if self.builtin_skills:
builtin_skill = self.builtin_skills / name / "SKILL.md"
if builtin_skill.exists():
return builtin_skill.read_text(encoding="utf-8")
return None
def load_skills_for_context(self, skill_names: list[str]) -> str:
"""
Load specific skills for inclusion in agent context.
Args:
skill_names: List of skill names to load.
Returns:
Formatted skills content.
"""
@ -95,26 +95,26 @@ class SkillsLoader:
if content:
content = self._strip_frontmatter(content)
parts.append(f"### Skill: {name}\n\n{content}")
return "\n\n---\n\n".join(parts) if parts else ""
def build_skills_summary(self) -> str:
"""
Build a summary of all skills (name, description, path, availability).
This is used for progressive loading - the agent can read the full
skill content using read_file when needed.
Returns:
XML-formatted skills summary.
"""
all_skills = self.list_skills(filter_unavailable=False)
if not all_skills:
return ""
def escape_xml(s: str) -> str:
return s.replace("&", "&amp;").replace("<", "&lt;").replace(">", "&gt;")
lines = ["<skills>"]
for s in all_skills:
name = escape_xml(s["name"])
@ -122,23 +122,23 @@ class SkillsLoader:
desc = escape_xml(self._get_skill_description(s["name"]))
skill_meta = self._get_skill_meta(s["name"])
available = self._check_requirements(skill_meta)
lines.append(f" <skill available=\"{str(available).lower()}\">")
lines.append(f" <name>{name}</name>")
lines.append(f" <description>{desc}</description>")
lines.append(f" <location>{path}</location>")
# Show missing requirements for unavailable skills
if not available:
missing = self._get_missing_requirements(skill_meta)
if missing:
lines.append(f" <requires>{escape_xml(missing)}</requires>")
lines.append(f" </skill>")
lines.append(" </skill>")
lines.append("</skills>")
return "\n".join(lines)
def _get_missing_requirements(self, skill_meta: dict) -> str:
"""Get a description of missing requirements."""
missing = []
@ -150,14 +150,14 @@ class SkillsLoader:
if not os.environ.get(env):
missing.append(f"ENV: {env}")
return ", ".join(missing)
def _get_skill_description(self, name: str) -> str:
"""Get the description of a skill from its frontmatter."""
meta = self.get_skill_metadata(name)
if meta and meta.get("description"):
return meta["description"]
return name # Fallback to skill name
def _strip_frontmatter(self, content: str) -> str:
"""Remove YAML frontmatter from markdown content."""
if content.startswith("---"):
@ -165,7 +165,7 @@ class SkillsLoader:
if match:
return content[match.end():].strip()
return content
def _parse_nanobot_metadata(self, raw: str) -> dict:
"""Parse skill metadata JSON from frontmatter (supports nanobot and openclaw keys)."""
try:
@ -173,7 +173,7 @@ class SkillsLoader:
return data.get("nanobot", data.get("openclaw", {})) if isinstance(data, dict) else {}
except (json.JSONDecodeError, TypeError):
return {}
def _check_requirements(self, skill_meta: dict) -> bool:
"""Check if skill requirements are met (bins, env vars)."""
requires = skill_meta.get("requires", {})
@ -184,12 +184,12 @@ class SkillsLoader:
if not os.environ.get(env):
return False
return True
def _get_skill_meta(self, name: str) -> dict:
"""Get nanobot metadata for a skill (cached in frontmatter)."""
meta = self.get_skill_metadata(name) or {}
return self._parse_nanobot_metadata(meta.get("metadata", ""))
def get_always_skills(self) -> list[str]:
"""Get skills marked as always=true that meet requirements."""
result = []
@ -199,21 +199,21 @@ class SkillsLoader:
if skill_meta.get("always") or meta.get("always"):
result.append(s["name"])
return result
def get_skill_metadata(self, name: str) -> dict | None:
"""
Get metadata from a skill's frontmatter.
Args:
name: Skill name.
Returns:
Metadata dict or None.
"""
content = self.load_skill(name)
if not content:
return None
if content.startswith("---"):
match = re.match(r"^---\n(.*?)\n---", content, re.DOTALL)
if match:
@ -224,5 +224,5 @@ class SkillsLoader:
key, value = line.split(":", 1)
metadata[key.strip()] = value.strip().strip('"\'')
return metadata
return None

96
nanobot/agent/subagent.py
View File

@ -8,18 +8,19 @@ from typing import Any
from loguru import logger
from nanobot.agent.tools.filesystem import EditFileTool, ListDirTool, ReadFileTool, WriteFileTool
from nanobot.agent.tools.registry import ToolRegistry
from nanobot.agent.tools.shell import ExecTool
from nanobot.agent.tools.web import WebFetchTool, WebSearchTool
from nanobot.bus.events import InboundMessage
from nanobot.bus.queue import MessageBus
from nanobot.config.schema import ExecToolConfig
from nanobot.providers.base import LLMProvider
from nanobot.agent.tools.registry import ToolRegistry
from nanobot.agent.tools.filesystem import ReadFileTool, WriteFileTool, EditFileTool, ListDirTool
from nanobot.agent.tools.shell import ExecTool
from nanobot.agent.tools.web import WebSearchTool, WebFetchTool
class SubagentManager:
"""Manages background subagent execution."""
def __init__(
self,
provider: LLMProvider,
@ -28,7 +29,9 @@ class SubagentManager:
model: str | None = None,
temperature: float = 0.7,
max_tokens: int = 4096,
reasoning_effort: str | None = None,
brave_api_key: str | None = None,
web_proxy: str | None = None,
exec_config: "ExecToolConfig | None" = None,
restrict_to_workspace: bool = False,
):
@ -39,12 +42,14 @@ class SubagentManager:
self.model = model or provider.get_default_model()
self.temperature = temperature
self.max_tokens = max_tokens
self.reasoning_effort = reasoning_effort
self.brave_api_key = brave_api_key
self.web_proxy = web_proxy
self.exec_config = exec_config or ExecToolConfig()
self.restrict_to_workspace = restrict_to_workspace
self._running_tasks: dict[str, asyncio.Task[None]] = {}
self._session_tasks: dict[str, set[str]] = {} # session_key -> {task_id, ...}
async def spawn(
self,
task: str,
@ -73,10 +78,10 @@ class SubagentManager:
del self._session_tasks[session_key]
bg_task.add_done_callback(_cleanup)
logger.info("Spawned subagent [{}]: {}", task_id, display_label)
return f"Subagent [{display_label}] started (id: {task_id}). I'll notify you when it completes."
async def _run_subagent(
self,
task_id: str,
@ -86,7 +91,7 @@ class SubagentManager:
) -> None:
"""Execute the subagent task and announce the result."""
logger.info("Subagent [{}] starting task: {}", task_id, label)
try:
# Build subagent tools (no message tool, no spawn tool)
tools = ToolRegistry()
@ -101,32 +106,32 @@ class SubagentManager:
restrict_to_workspace=self.restrict_to_workspace,
path_append=self.exec_config.path_append,
))
tools.register(WebSearchTool(api_key=self.brave_api_key))
tools.register(WebFetchTool())
tools.register(WebSearchTool(api_key=self.brave_api_key, proxy=self.web_proxy))
tools.register(WebFetchTool(proxy=self.web_proxy))
# Build messages with subagent-specific prompt
system_prompt = self._build_subagent_prompt(task)
system_prompt = self._build_subagent_prompt()
messages: list[dict[str, Any]] = [
{"role": "system", "content": system_prompt},
{"role": "user", "content": task},
]
# Run agent loop (limited iterations)
max_iterations = 15
iteration = 0
final_result: str | None = None
while iteration < max_iterations:
iteration += 1
response = await self.provider.chat(
messages=messages,
tools=tools.get_definitions(),
model=self.model,
temperature=self.temperature,
max_tokens=self.max_tokens,
reasoning_effort=self.reasoning_effort,
)
if response.has_tool_calls:
# Add assistant message with tool calls
tool_call_dicts = [
@ -145,7 +150,7 @@ class SubagentManager:
"content": response.content or "",
"tool_calls": tool_call_dicts,
})
# Execute tools
for tool_call in response.tool_calls:
args_str = json.dumps(tool_call.arguments, ensure_ascii=False)
@ -160,18 +165,18 @@ class SubagentManager:
else:
final_result = response.content
break
if final_result is None:
final_result = "Task completed but no final response was generated."
logger.info("Subagent [{}] completed successfully", task_id)
await self._announce_result(task_id, label, task, final_result, origin, "ok")
except Exception as e:
error_msg = f"Error: {str(e)}"
logger.error("Subagent [{}] failed: {}", task_id, e)
await self._announce_result(task_id, label, task, error_msg, origin, "error")
async def _announce_result(
self,
task_id: str,
@ -183,7 +188,7 @@ class SubagentManager:
) -> None:
"""Announce the subagent result to the main agent via the message bus."""
status_text = "completed successfully" if status == "ok" else "failed"
announce_content = f"""[Subagent '{label}' {status_text}]
Task: {task}
@ -192,7 +197,7 @@ Result:
{result}
Summarize this naturally for the user. Keep it brief (1-2 sentences). Do not mention technical details like "subagent" or task IDs."""
# Inject as system message to trigger main agent
msg = InboundMessage(
channel="system",
@ -200,46 +205,31 @@ Summarize this naturally for the user. Keep it brief (1-2 sentences). Do not men
chat_id=f"{origin['channel']}:{origin['chat_id']}",
content=announce_content,
)
await self.bus.publish_inbound(msg)
logger.debug("Subagent [{}] announced result to {}:{}", task_id, origin['channel'], origin['chat_id'])
def _build_subagent_prompt(self, task: str) -> str:
def _build_subagent_prompt(self) -> str:
"""Build a focused system prompt for the subagent."""
from datetime import datetime
import time as _time
now = datetime.now().strftime("%Y-%m-%d %H:%M (%A)")
tz = _time.strftime("%Z") or "UTC"
from nanobot.agent.context import ContextBuilder
from nanobot.agent.skills import SkillsLoader
return f"""# Subagent
time_ctx = ContextBuilder._build_runtime_context(None, None)
parts = [f"""# Subagent
## Current Time
{now} ({tz})
{time_ctx}
You are a subagent spawned by the main agent to complete a specific task.
## Rules
1. Stay focused - complete only the assigned task, nothing else
2. Your final response will be reported back to the main agent
3. Do not initiate conversations or take on side tasks
4. Be concise but informative in your findings
## What You Can Do
- Read and write files in the workspace
- Execute shell commands
- Search the web and fetch web pages
- Complete the task thoroughly
## What You Cannot Do
- Send messages directly to users (no message tool available)
- Spawn other subagents
- Access the main agent's conversation history
Stay focused on the assigned task. Your final response will be reported back to the main agent.
## Workspace
Your workspace is at: {self.workspace}
Skills are available at: {self.workspace}/skills/ (read SKILL.md files as needed)
{self.workspace}"""]
When you have completed the task, provide a clear summary of your findings or actions."""
skills_summary = SkillsLoader(self.workspace).build_skills_summary()
if skills_summary:
parts.append(f"## Skills\n\nRead SKILL.md with read_file to use a skill.\n\n{skills_summary}")
return "\n\n".join(parts)
async def cancel_by_session(self, session_key: str) -> int:
"""Cancel all subagents for the given session. Returns count cancelled."""

30
nanobot/agent/tools/base.py
View File

@ -7,11 +7,11 @@ from typing import Any
class Tool(ABC):
"""
Abstract base class for agent tools.
Tools are capabilities that the agent can use to interact with
the environment, such as reading files, executing commands, etc.
"""
_TYPE_MAP = {
"string": str,
"integer": int,
@ -20,33 +20,33 @@ class Tool(ABC):
"array": list,
"object": dict,
}
@property
@abstractmethod
def name(self) -> str:
"""Tool name used in function calls."""
pass
@property
@abstractmethod
def description(self) -> str:
"""Description of what the tool does."""
pass
@property
@abstractmethod
def parameters(self) -> dict[str, Any]:
"""JSON Schema for tool parameters."""
pass
@abstractmethod
async def execute(self, **kwargs: Any) -> str:
"""
Execute the tool with given parameters.
Args:
**kwargs: Tool-specific parameters.
Returns:
String result of the tool execution.
"""
@ -54,6 +54,8 @@ class Tool(ABC):
def validate_params(self, params: dict[str, Any]) -> list[str]:
"""Validate tool parameters against JSON schema. Returns error list (empty if valid)."""
if not isinstance(params, dict):
return [f"parameters must be an object, got {type(params).__name__}"]
schema = self.parameters or {}
if schema.get("type", "object") != "object":
raise ValueError(f"Schema must be object type, got {schema.get('type')!r}")
@ -63,7 +65,7 @@ class Tool(ABC):
t, label = schema.get("type"), path or "parameter"
if t in self._TYPE_MAP and not isinstance(val, self._TYPE_MAP[t]):
return [f"{label} should be {t}"]
errors = []
if "enum" in schema and val not in schema["enum"]:
errors.append(f"{label} must be one of {schema['enum']}")
@ -84,12 +86,14 @@ class Tool(ABC):
errors.append(f"missing required {path + '.' + k if path else k}")
for k, v in val.items():
if k in props:
errors.extend(self._validate(v, props[k], path + '.' + k if path else k))
errors.extend(self._validate(v, props[k], path + "." + k if path else k))
if t == "array" and "items" in schema:
for i, item in enumerate(val):
errors.extend(self._validate(item, schema["items"], f"{path}[{i}]" if path else f"[{i}]"))
errors.extend(
self._validate(item, schema["items"], f"{path}[{i}]" if path else f"[{i}]")
)
return errors
def to_schema(self) -> dict[str, Any]:
"""Convert tool to OpenAI function schema format."""
return {
@ -98,5 +102,5 @@ class Tool(ABC):
"name": self.name,
"description": self.description,
"parameters": self.parameters,
}
},
}

65
nanobot/agent/tools/cron.py
View File

@ -1,5 +1,6 @@
"""Cron tool for scheduling reminders and tasks."""
from contextvars import ContextVar
from typing import Any
from nanobot.agent.tools.base import Tool
@ -9,25 +10,34 @@ from nanobot.cron.types import CronSchedule
class CronTool(Tool):
"""Tool to schedule reminders and recurring tasks."""
def __init__(self, cron_service: CronService):
self._cron = cron_service
self._channel = ""
self._chat_id = ""
self._in_cron_context: ContextVar[bool] = ContextVar("cron_in_context", default=False)
def set_context(self, channel: str, chat_id: str) -> None:
"""Set the current session context for delivery."""
self._channel = channel
self._chat_id = chat_id
def set_cron_context(self, active: bool):
"""Mark whether the tool is executing inside a cron job callback."""
return self._in_cron_context.set(active)
def reset_cron_context(self, token) -> None:
"""Restore previous cron context."""
self._in_cron_context.reset(token)
@property
def name(self) -> str:
return "cron"
@property
def description(self) -> str:
return "Schedule reminders and recurring tasks. Actions: add, list, remove."
@property
def parameters(self) -> dict[str, Any]:
return {
@ -36,36 +46,30 @@ class CronTool(Tool):
"action": {
"type": "string",
"enum": ["add", "list", "remove"],
"description": "Action to perform"
},
"message": {
"type": "string",
"description": "Reminder message (for add)"
"description": "Action to perform",
},
"message": {"type": "string", "description": "Reminder message (for add)"},
"every_seconds": {
"type": "integer",
"description": "Interval in seconds (for recurring tasks)"
"description": "Interval in seconds (for recurring tasks)",
},
"cron_expr": {
"type": "string",
"description": "Cron expression like '0 9 * * *' (for scheduled tasks)"
"description": "Cron expression like '0 9 * * *' (for scheduled tasks)",
},
"tz": {
"type": "string",
"description": "IANA timezone for cron expressions (e.g. 'America/Vancouver')"
"description": "IANA timezone for cron expressions (e.g. 'America/Vancouver')",
},
"at": {
"type": "string",
"description": "ISO datetime for one-time execution (e.g. '2026-02-12T10:30:00')"
"description": "ISO datetime for one-time execution (e.g. '2026-02-12T10:30:00')",
},
"job_id": {
"type": "string",
"description": "Job ID (for remove)"
}
"job_id": {"type": "string", "description": "Job ID (for remove)"},
},
"required": ["action"]
"required": ["action"],
}
async def execute(
self,
action: str,
@ -75,16 +79,18 @@ class CronTool(Tool):
tz: str | None = None,
at: str | None = None,
job_id: str | None = None,
**kwargs: Any
**kwargs: Any,
) -> str:
if action == "add":
if self._in_cron_context.get():
return "Error: cannot schedule new jobs from within a cron job execution"
return self._add_job(message, every_seconds, cron_expr, tz, at)
elif action == "list":
return self._list_jobs()
elif action == "remove":
return self._remove_job(job_id)
return f"Unknown action: {action}"
def _add_job(
self,
message: str,
@ -101,11 +107,12 @@ class CronTool(Tool):
return "Error: tz can only be used with cron_expr"
if tz:
from zoneinfo import ZoneInfo
try:
ZoneInfo(tz)
except (KeyError, Exception):
return f"Error: unknown timezone '{tz}'"
# Build schedule
delete_after = False
if every_seconds:
@ -114,13 +121,17 @@ class CronTool(Tool):
schedule = CronSchedule(kind="cron", expr=cron_expr, tz=tz)
elif at:
from datetime import datetime
dt = datetime.fromisoformat(at)
try:
dt = datetime.fromisoformat(at)
except ValueError:
return f"Error: invalid ISO datetime format '{at}'. Expected format: YYYY-MM-DDTHH:MM:SS"
at_ms = int(dt.timestamp() * 1000)
schedule = CronSchedule(kind="at", at_ms=at_ms)
delete_after = True
else:
return "Error: either every_seconds, cron_expr, or at is required"
job = self._cron.add_job(
name=message[:30],
schedule=schedule,
@ -131,14 +142,14 @@ class CronTool(Tool):
delete_after_run=delete_after,
)
return f"Created job '{job.name}' (id: {job.id})"
def _list_jobs(self) -> str:
jobs = self._cron.list_jobs()
if not jobs:
return "No scheduled jobs."
lines = [f"- {j.name} (id: {j.id}, {j.schedule.kind})" for j in jobs]
return "Scheduled jobs:\n" + "\n".join(lines)
def _remove_job(self, job_id: str | None) -> str:
if not job_id:
return "Error: job_id is required for remove"

104
nanobot/agent/tools/filesystem.py
View File

@ -7,7 +7,9 @@ from typing import Any
from nanobot.agent.tools.base import Tool
def _resolve_path(path: str, workspace: Path | None = None, allowed_dir: Path | None = None) -> Path:
def _resolve_path(
path: str, workspace: Path | None = None, allowed_dir: Path | None = None
) -> Path:
"""Resolve path against workspace (if relative) and enforce directory restriction."""
p = Path(path).expanduser()
if not p.is_absolute() and workspace:
@ -24,6 +26,8 @@ def _resolve_path(path: str, workspace: Path | None = None, allowed_dir: Path |
class ReadFileTool(Tool):
"""Tool to read file contents."""
_MAX_CHARS = 128_000 # ~128 KB — prevents OOM from reading huge files into LLM context
def __init__(self, workspace: Path | None = None, allowed_dir: Path | None = None):
self._workspace = workspace
self._allowed_dir = allowed_dir
@ -31,24 +35,19 @@ class ReadFileTool(Tool):
@property
def name(self) -> str:
return "read_file"
@property
def description(self) -> str:
return "Read the contents of a file at the given path."
@property
def parameters(self) -> dict[str, Any]:
return {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "The file path to read"
}
},
"required": ["path"]
"properties": {"path": {"type": "string", "description": "The file path to read"}},
"required": ["path"],
}
async def execute(self, path: str, **kwargs: Any) -> str:
try:
file_path = _resolve_path(path, self._workspace, self._allowed_dir)
@ -57,7 +56,16 @@ class ReadFileTool(Tool):
if not file_path.is_file():
return f"Error: Not a file: {path}"
size = file_path.stat().st_size
if size > self._MAX_CHARS * 4: # rough upper bound (UTF-8 chars ≤ 4 bytes)
return (
f"Error: File too large ({size:,} bytes). "
f"Use exec tool with head/tail/grep to read portions."
)
content = file_path.read_text(encoding="utf-8")
if len(content) > self._MAX_CHARS:
return content[: self._MAX_CHARS] + f"\n\n... (truncated — file is {len(content):,} chars, limit {self._MAX_CHARS:,})"
return content
except PermissionError as e:
return f"Error: {e}"
@ -75,28 +83,22 @@ class WriteFileTool(Tool):
@property
def name(self) -> str:
return "write_file"
@property
def description(self) -> str:
return "Write content to a file at the given path. Creates parent directories if needed."
@property
def parameters(self) -> dict[str, Any]:
return {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "The file path to write to"
},
"content": {
"type": "string",
"description": "The content to write"
}
"path": {"type": "string", "description": "The file path to write to"},
"content": {"type": "string", "description": "The content to write"},
},
"required": ["path", "content"]
"required": ["path", "content"],
}
async def execute(self, path: str, content: str, **kwargs: Any) -> str:
try:
file_path = _resolve_path(path, self._workspace, self._allowed_dir)
@ -119,32 +121,23 @@ class EditFileTool(Tool):
@property
def name(self) -> str:
return "edit_file"
@property
def description(self) -> str:
return "Edit a file by replacing old_text with new_text. The old_text must exist exactly in the file."
@property
def parameters(self) -> dict[str, Any]:
return {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "The file path to edit"
},
"old_text": {
"type": "string",
"description": "The exact text to find and replace"
},
"new_text": {
"type": "string",
"description": "The text to replace with"
}
"path": {"type": "string", "description": "The file path to edit"},
"old_text": {"type": "string", "description": "The exact text to find and replace"},
"new_text": {"type": "string", "description": "The text to replace with"},
},
"required": ["path", "old_text", "new_text"]
"required": ["path", "old_text", "new_text"],
}
async def execute(self, path: str, old_text: str, new_text: str, **kwargs: Any) -> str:
try:
file_path = _resolve_path(path, self._workspace, self._allowed_dir)
@ -184,13 +177,19 @@ class EditFileTool(Tool):
best_ratio, best_start = ratio, i
if best_ratio > 0.5:
diff = "\n".join(difflib.unified_diff(
old_lines, lines[best_start : best_start + window],
fromfile="old_text (provided)", tofile=f"{path} (actual, line {best_start + 1})",
lineterm="",
))
diff = "\n".join(
difflib.unified_diff(
old_lines,
lines[best_start : best_start + window],
fromfile="old_text (provided)",
tofile=f"{path} (actual, line {best_start + 1})",
lineterm="",
)
)
return f"Error: old_text not found in {path}.\nBest match ({best_ratio:.0%} similar) at line {best_start + 1}:\n{diff}"
return f"Error: old_text not found in {path}. No similar text found. Verify the file content."
return (
f"Error: old_text not found in {path}. No similar text found. Verify the file content."
)
class ListDirTool(Tool):
@ -203,24 +202,19 @@ class ListDirTool(Tool):
@property
def name(self) -> str:
return "list_dir"
@property
def description(self) -> str:
return "List the contents of a directory."
@property
def parameters(self) -> dict[str, Any]:
return {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "The directory path to list"
}
},
"required": ["path"]
"properties": {"path": {"type": "string", "description": "The directory path to list"}},
"required": ["path"],
}
async def execute(self, path: str, **kwargs: Any) -> str:
try:
dir_path = _resolve_path(path, self._workspace, self._allowed_dir)

39
nanobot/agent/tools/mcp.py
View File

@ -58,17 +58,48 @@ async def connect_mcp_servers(
) -> None:
"""Connect to configured MCP servers and register their tools."""
from mcp import ClientSession, StdioServerParameters
from mcp.client.sse import sse_client
from mcp.client.stdio import stdio_client
from mcp.client.streamable_http import streamable_http_client
for name, cfg in mcp_servers.items():
try:
if cfg.command:
transport_type = cfg.type
if not transport_type:
if cfg.command:
transport_type = "stdio"
elif cfg.url:
# Convention: URLs ending with /sse use SSE transport; others use streamableHttp
transport_type = (
"sse" if cfg.url.rstrip("/").endswith("/sse") else "streamableHttp"
)
else:
logger.warning("MCP server '{}': no command or url configured, skipping", name)
continue
if transport_type == "stdio":
params = StdioServerParameters(
command=cfg.command, args=cfg.args, env=cfg.env or None
)
read, write = await stack.enter_async_context(stdio_client(params))
elif cfg.url:
from mcp.client.streamable_http import streamable_http_client
elif transport_type == "sse":
def httpx_client_factory(
headers: dict[str, str] | None = None,
timeout: httpx.Timeout | None = None,
auth: httpx.Auth | None = None,
) -> httpx.AsyncClient:
merged_headers = {**(cfg.headers or {}), **(headers or {})}
return httpx.AsyncClient(
headers=merged_headers or None,
follow_redirects=True,
timeout=timeout,
auth=auth,
)
read, write = await stack.enter_async_context(
sse_client(cfg.url, httpx_client_factory=httpx_client_factory)
)
elif transport_type == "streamableHttp":
# Always provide an explicit httpx client so MCP HTTP transport does not
# inherit httpx's default 5s timeout and preempt the higher-level tool timeout.
http_client = await stack.enter_async_context(
@ -82,7 +113,7 @@ async def connect_mcp_servers(
streamable_http_client(cfg.url, http_client=http_client)
)
else:
logger.warning("MCP server '{}': no command or url configured, skipping", name)
logger.warning("MCP server '{}': unknown transport type '{}'", name, transport_type)
continue
session = await stack.enter_async_context(ClientSession(read, write))

22
nanobot/agent/tools/registry.py
View File

@ -8,33 +8,33 @@ from nanobot.agent.tools.base import Tool
class ToolRegistry:
"""
Registry for agent tools.
Allows dynamic registration and execution of tools.
"""
def __init__(self):
self._tools: dict[str, Tool] = {}
def register(self, tool: Tool) -> None:
"""Register a tool."""
self._tools[tool.name] = tool
def unregister(self, name: str) -> None:
"""Unregister a tool by name."""
self._tools.pop(name, None)
def get(self, name: str) -> Tool | None:
"""Get a tool by name."""
return self._tools.get(name)
def has(self, name: str) -> bool:
"""Check if a tool is registered."""
return name in self._tools
def get_definitions(self) -> list[dict[str, Any]]:
"""Get all tool definitions in OpenAI format."""
return [tool.to_schema() for tool in self._tools.values()]
async def execute(self, name: str, params: dict[str, Any]) -> str:
"""Execute a tool by name with given parameters."""
_HINT = "\n\n[Analyze the error above and try a different approach.]"
@ -53,14 +53,14 @@ class ToolRegistry:
return result
except Exception as e:
return f"Error executing {name}: {str(e)}" + _HINT
@property
def tool_names(self) -> list[str]:
"""Get list of registered tool names."""
return list(self._tools.keys())
def __len__(self) -> int:
return len(self._tools)
def __contains__(self, name: str) -> bool:
return name in self._tools

8
nanobot/agent/tools/shell.py
View File

@ -11,7 +11,7 @@ from nanobot.agent.tools.base import Tool
class ExecTool(Tool):
"""Tool to execute shell commands."""
def __init__(
self,
timeout: int = 60,
@ -37,15 +37,15 @@ class ExecTool(Tool):
self.allow_patterns = allow_patterns or []
self.restrict_to_workspace = restrict_to_workspace
self.path_append = path_append
@property
def name(self) -> str:
return "exec"
@property
def description(self) -> str:
return "Execute a shell command and return its output. Use with caution."
@property
def parameters(self) -> dict[str, Any]:
return {

14
nanobot/agent/tools/spawn.py
View File

@ -1,6 +1,6 @@
"""Spawn tool for creating background subagents."""
from typing import Any, TYPE_CHECKING
from typing import TYPE_CHECKING, Any
from nanobot.agent.tools.base import Tool
@ -10,23 +10,23 @@ if TYPE_CHECKING:
class SpawnTool(Tool):
"""Tool to spawn a subagent for background task execution."""
def __init__(self, manager: "SubagentManager"):
self._manager = manager
self._origin_channel = "cli"
self._origin_chat_id = "direct"
self._session_key = "cli:direct"
def set_context(self, channel: str, chat_id: str) -> None:
"""Set the origin context for subagent announcements."""
self._origin_channel = channel
self._origin_chat_id = chat_id
self._session_key = f"{channel}:{chat_id}"
@property
def name(self) -> str:
return "spawn"
@property
def description(self) -> str:
return (
@ -34,7 +34,7 @@ class SpawnTool(Tool):
"Use this for complex or time-consuming tasks that can run independently. "
"The subagent will complete the task and report back when done."
)
@property
def parameters(self) -> dict[str, Any]:
return {
@ -51,7 +51,7 @@ class SpawnTool(Tool):
},
"required": ["task"],
}
async def execute(self, task: str, label: str | None = None, **kwargs: Any) -> str:
"""Spawn a subagent to execute the given task."""
return await self._manager.spawn(

63
nanobot/agent/tools/web.py
View File

@ -8,6 +8,7 @@ from typing import Any
from urllib.parse import urlparse
import httpx
from loguru import logger
from nanobot.agent.tools.base import Tool
@ -45,7 +46,7 @@ def _validate_url(url: str) -> tuple[bool, str]:
class WebSearchTool(Tool):
"""Search the web using Brave Search API."""
name = "web_search"
description = "Search the web. Returns titles, URLs, and snippets."
parameters = {
@ -56,10 +57,11 @@ class WebSearchTool(Tool):
},
"required": ["query"]
}
def __init__(self, api_key: str | None = None, max_results: int = 5):
def __init__(self, api_key: str | None = None, max_results: int = 5, proxy: str | None = None):
self._init_api_key = api_key
self.max_results = max_results
self.proxy = proxy
@property
def api_key(self) -> str:
@ -69,14 +71,15 @@ class WebSearchTool(Tool):
async def execute(self, query: str, count: int | None = None, **kwargs: Any) -> str:
if not self.api_key:
return (
"Error: Brave Search API key not configured. "
"Set it in ~/.nanobot/config.json under tools.web.search.apiKey "
"Error: Brave Search API key not configured. Set it in "
"~/.nanobot/config.json under tools.web.search.apiKey "
"(or export BRAVE_API_KEY), then restart the gateway."
)
try:
n = min(max(count or self.max_results, 1), 10)
async with httpx.AsyncClient() as client:
logger.debug("WebSearch: {}", "proxy enabled" if self.proxy else "direct connection")
async with httpx.AsyncClient(proxy=self.proxy) as client:
r = await client.get(
"https://api.search.brave.com/res/v1/web/search",
params={"q": query, "count": n},
@ -84,24 +87,28 @@ class WebSearchTool(Tool):
timeout=10.0
)
r.raise_for_status()
results = r.json().get("web", {}).get("results", [])
results = r.json().get("web", {}).get("results", [])[:n]
if not results:
return f"No results for: {query}"
lines = [f"Results for: {query}\n"]
for i, item in enumerate(results[:n], 1):
for i, item in enumerate(results, 1):
lines.append(f"{i}. {item.get('title', '')}\n {item.get('url', '')}")
if desc := item.get("description"):
lines.append(f" {desc}")
return "\n".join(lines)
except httpx.ProxyError as e:
logger.error("WebSearch proxy error: {}", e)
return f"Proxy error: {e}"
except Exception as e:
logger.error("WebSearch error: {}", e)
return f"Error: {e}"
class WebFetchTool(Tool):
"""Fetch and extract content from a URL using Readability."""
name = "web_fetch"
description = "Fetch URL and extract readable content (HTML → markdown/text)."
parameters = {
@ -113,35 +120,34 @@ class WebFetchTool(Tool):
},
"required": ["url"]
}
def __init__(self, max_chars: int = 50000):
def __init__(self, max_chars: int = 50000, proxy: str | None = None):
self.max_chars = max_chars
self.proxy = proxy
async def execute(self, url: str, extractMode: str = "markdown", maxChars: int | None = None, **kwargs: Any) -> str:
from readability import Document
max_chars = maxChars or self.max_chars
# Validate URL before fetching
is_valid, error_msg = _validate_url(url)
if not is_valid:
return json.dumps({"error": f"URL validation failed: {error_msg}", "url": url}, ensure_ascii=False)
try:
logger.debug("WebFetch: {}", "proxy enabled" if self.proxy else "direct connection")
async with httpx.AsyncClient(
follow_redirects=True,
max_redirects=MAX_REDIRECTS,
timeout=30.0
timeout=30.0,
proxy=self.proxy,
) as client:
r = await client.get(url, headers={"User-Agent": USER_AGENT})
r.raise_for_status()
ctype = r.headers.get("content-type", "")
# JSON
if "application/json" in ctype:
text, extractor = json.dumps(r.json(), indent=2, ensure_ascii=False), "json"
# HTML
elif "text/html" in ctype or r.text[:256].lower().startswith(("<!doctype", "<html")):
doc = Document(r.text)
content = self._to_markdown(doc.summary()) if extractMode == "markdown" else _strip_tags(doc.summary())
@ -149,16 +155,19 @@ class WebFetchTool(Tool):
extractor = "readability"
else:
text, extractor = r.text, "raw"
truncated = len(text) > max_chars
if truncated:
text = text[:max_chars]
if truncated: text = text[:max_chars]
return json.dumps({"url": url, "finalUrl": str(r.url), "status": r.status_code,
"extractor": extractor, "truncated": truncated, "length": len(text), "text": text}, ensure_ascii=False)
except httpx.ProxyError as e:
logger.error("WebFetch proxy error for {}: {}", url, e)
return json.dumps({"error": f"Proxy error: {e}", "url": url}, ensure_ascii=False)
except Exception as e:
logger.error("WebFetch error for {}: {}", url, e)
return json.dumps({"error": str(e), "url": url}, ensure_ascii=False)
def _to_markdown(self, html: str) -> str:
"""Convert HTML to markdown."""
# Convert links, headings, lists before stripping tags

6
nanobot/bus/events.py
View File

@ -8,7 +8,7 @@ from typing import Any
@dataclass
class InboundMessage:
"""Message received from a chat channel."""
channel: str # telegram, discord, slack, whatsapp
sender_id: str # User identifier
chat_id: str # Chat/channel identifier
@ -17,7 +17,7 @@ class InboundMessage:
media: list[str] = field(default_factory=list) # Media URLs
metadata: dict[str, Any] = field(default_factory=dict) # Channel-specific data
session_key_override: str | None = None # Optional override for thread-scoped sessions
@property
def session_key(self) -> str:
"""Unique key for session identification."""
@ -27,7 +27,7 @@ class InboundMessage:
@dataclass
class OutboundMessage:
"""Message to send to a chat channel."""
channel: str
chat_id: str
content: str

58
nanobot/channels/base.py
View File

@ -12,17 +12,17 @@ from nanobot.bus.queue import MessageBus
class BaseChannel(ABC):
"""
Abstract base class for chat channel implementations.
Each channel (Telegram, Discord, etc.) should implement this interface
to integrate with the nanobot message bus.
"""
name: str = "base"
def __init__(self, config: Any, bus: MessageBus):
"""
Initialize the channel.
Args:
config: Channel-specific configuration.
bus: The message bus for communication.
@ -30,59 +30,47 @@ class BaseChannel(ABC):
self.config = config
self.bus = bus
self._running = False
@abstractmethod
async def start(self) -> None:
"""
Start the channel and begin listening for messages.
This should be a long-running async task that:
1. Connects to the chat platform
2. Listens for incoming messages
3. Forwards messages to the bus via _handle_message()
"""
pass
@abstractmethod
async def stop(self) -> None:
"""Stop the channel and clean up resources."""
pass
@abstractmethod
async def send(self, msg: OutboundMessage) -> None:
"""
Send a message through this channel.
Args:
msg: The message to send.
"""
pass
def is_allowed(self, sender_id: str) -> bool:
"""
Check if a sender is allowed to use this bot.
Args:
sender_id: The sender's identifier.
Returns:
True if allowed, False otherwise.
"""
"""Check if *sender_id* is permitted. Empty list → deny all; ``"*"`` → allow all."""
allow_list = getattr(self.config, "allow_from", [])
# If no allow list, allow everyone
if not allow_list:
logger.warning("{}: allow_from is empty — all access denied", self.name)
return False
if "*" in allow_list:
return True
sender_str = str(sender_id)
if sender_str in allow_list:
return True
if "|" in sender_str:
for part in sender_str.split("|"):
if part and part in allow_list:
return True
return False
return sender_str in allow_list or any(
p in allow_list for p in sender_str.split("|") if p
)
async def _handle_message(
self,
sender_id: str,
@ -94,9 +82,9 @@ class BaseChannel(ABC):
) -> None:
"""
Handle an incoming message from the chat platform.
This method checks permissions and forwards to the bus.
Args:
sender_id: The sender's identifier.
chat_id: The chat/channel identifier.
@ -112,7 +100,7 @@ class BaseChannel(ABC):
sender_id, self.name,
)
return
msg = InboundMessage(
channel=self.name,
sender_id=str(sender_id),
@ -122,9 +110,9 @@ class BaseChannel(ABC):
metadata=metadata or {},
session_key_override=session_key,
)
await self.bus.publish_inbound(msg)
@property
def is_running(self) -> bool:
"""Check if the channel is running."""

253
nanobot/channels/dingtalk.py
View File

@ -2,11 +2,15 @@
import asyncio
import json
import mimetypes
import os
import time
from pathlib import Path
from typing import Any
from urllib.parse import unquote, urlparse
from loguru import logger
import httpx
from loguru import logger
from nanobot.bus.events import OutboundMessage
from nanobot.bus.queue import MessageBus
@ -15,11 +19,11 @@ from nanobot.config.schema import DingTalkConfig
try:
from dingtalk_stream import (
DingTalkStreamClient,
Credential,
AckMessage,
CallbackHandler,
CallbackMessage,
AckMessage,
Credential,
DingTalkStreamClient,
)
from dingtalk_stream.chatbot import ChatbotMessage
@ -96,6 +100,9 @@ class DingTalkChannel(BaseChannel):
"""
name = "dingtalk"
_IMAGE_EXTS = {".jpg", ".jpeg", ".png", ".gif", ".bmp", ".webp"}
_AUDIO_EXTS = {".amr", ".mp3", ".wav", ".ogg", ".m4a", ".aac"}
_VIDEO_EXTS = {".mp4", ".mov", ".avi", ".mkv", ".webm"}
def __init__(self, config: DingTalkConfig, bus: MessageBus):
super().__init__(config, bus)
@ -191,40 +198,224 @@ class DingTalkChannel(BaseChannel):
logger.error("Failed to get DingTalk access token: {}", e)
return None
@staticmethod
def _is_http_url(value: str) -> bool:
return urlparse(value).scheme in ("http", "https")
def _guess_upload_type(self, media_ref: str) -> str:
ext = Path(urlparse(media_ref).path).suffix.lower()
if ext in self._IMAGE_EXTS: return "image"
if ext in self._AUDIO_EXTS: return "voice"
if ext in self._VIDEO_EXTS: return "video"
return "file"
def _guess_filename(self, media_ref: str, upload_type: str) -> str:
name = os.path.basename(urlparse(media_ref).path)
return name or {"image": "image.jpg", "voice": "audio.amr", "video": "video.mp4"}.get(upload_type, "file.bin")
async def _read_media_bytes(
self,
media_ref: str,
) -> tuple[bytes | None, str | None, str | None]:
if not media_ref:
return None, None, None
if self._is_http_url(media_ref):
if not self._http:
return None, None, None
try:
resp = await self._http.get(media_ref, follow_redirects=True)
if resp.status_code >= 400:
logger.warning(
"DingTalk media download failed status={} ref={}",
resp.status_code,
media_ref,
)
return None, None, None
content_type = (resp.headers.get("content-type") or "").split(";")[0].strip()
filename = self._guess_filename(media_ref, self._guess_upload_type(media_ref))
return resp.content, filename, content_type or None
except Exception as e:
logger.error("DingTalk media download error ref={} err={}", media_ref, e)
return None, None, None
try:
if media_ref.startswith("file://"):
parsed = urlparse(media_ref)
local_path = Path(unquote(parsed.path))
else:
local_path = Path(os.path.expanduser(media_ref))
if not local_path.is_file():
logger.warning("DingTalk media file not found: {}", local_path)
return None, None, None
data = await asyncio.to_thread(local_path.read_bytes)
content_type = mimetypes.guess_type(local_path.name)[0]
return data, local_path.name, content_type
except Exception as e:
logger.error("DingTalk media read error ref={} err={}", media_ref, e)
return None, None, None
async def _upload_media(
self,
token: str,
data: bytes,
media_type: str,
filename: str,
content_type: str | None,
) -> str | None:
if not self._http:
return None
url = f"https://oapi.dingtalk.com/media/upload?access_token={token}&type={media_type}"
mime = content_type or mimetypes.guess_type(filename)[0] or "application/octet-stream"
files = {"media": (filename, data, mime)}
try:
resp = await self._http.post(url, files=files)
text = resp.text
result = resp.json() if resp.headers.get("content-type", "").startswith("application/json") else {}
if resp.status_code >= 400:
logger.error("DingTalk media upload failed status={} type={} body={}", resp.status_code, media_type, text[:500])
return None
errcode = result.get("errcode", 0)
if errcode != 0:
logger.error("DingTalk media upload api error type={} errcode={} body={}", media_type, errcode, text[:500])
return None
sub = result.get("result") or {}
media_id = result.get("media_id") or result.get("mediaId") or sub.get("media_id") or sub.get("mediaId")
if not media_id:
logger.error("DingTalk media upload missing media_id body={}", text[:500])
return None
return str(media_id)
except Exception as e:
logger.error("DingTalk media upload error type={} err={}", media_type, e)
return None
async def _send_batch_message(
self,
token: str,
chat_id: str,
msg_key: str,
msg_param: dict[str, Any],
) -> bool:
if not self._http:
logger.warning("DingTalk HTTP client not initialized, cannot send")
return False
url = "https://api.dingtalk.com/v1.0/robot/oToMessages/batchSend"
headers = {"x-acs-dingtalk-access-token": token}
payload = {
"robotCode": self.config.client_id,
"userIds": [chat_id],
"msgKey": msg_key,
"msgParam": json.dumps(msg_param, ensure_ascii=False),
}
try:
resp = await self._http.post(url, json=payload, headers=headers)
body = resp.text
if resp.status_code != 200:
logger.error("DingTalk send failed msgKey={} status={} body={}", msg_key, resp.status_code, body[:500])
return False
try: result = resp.json()
except Exception: result = {}
errcode = result.get("errcode")
if errcode not in (None, 0):
logger.error("DingTalk send api error msgKey={} errcode={} body={}", msg_key, errcode, body[:500])
return False
logger.debug("DingTalk message sent to {} with msgKey={}", chat_id, msg_key)
return True
except Exception as e:
logger.error("Error sending DingTalk message msgKey={} err={}", msg_key, e)
return False
async def _send_markdown_text(self, token: str, chat_id: str, content: str) -> bool:
return await self._send_batch_message(
token,
chat_id,
"sampleMarkdown",
{"text": content, "title": "Nanobot Reply"},
)
async def _send_media_ref(self, token: str, chat_id: str, media_ref: str) -> bool:
media_ref = (media_ref or "").strip()
if not media_ref:
return True
upload_type = self._guess_upload_type(media_ref)
if upload_type == "image" and self._is_http_url(media_ref):
ok = await self._send_batch_message(
token,
chat_id,
"sampleImageMsg",
{"photoURL": media_ref},
)
if ok:
return True
logger.warning("DingTalk image url send failed, trying upload fallback: {}", media_ref)
data, filename, content_type = await self._read_media_bytes(media_ref)
if not data:
logger.error("DingTalk media read failed: {}", media_ref)
return False
filename = filename or self._guess_filename(media_ref, upload_type)
file_type = Path(filename).suffix.lower().lstrip(".")
if not file_type:
guessed = mimetypes.guess_extension(content_type or "")
file_type = (guessed or ".bin").lstrip(".")
if file_type == "jpeg":
file_type = "jpg"
media_id = await self._upload_media(
token=token,
data=data,
media_type=upload_type,
filename=filename,
content_type=content_type,
)
if not media_id:
return False
if upload_type == "image":
# Verified in production: sampleImageMsg accepts media_id in photoURL.
ok = await self._send_batch_message(
token,
chat_id,
"sampleImageMsg",
{"photoURL": media_id},
)
if ok:
return True
logger.warning("DingTalk image media_id send failed, falling back to file: {}", media_ref)
return await self._send_batch_message(
token,
chat_id,
"sampleFile",
{"mediaId": media_id, "fileName": filename, "fileType": file_type},
)
async def send(self, msg: OutboundMessage) -> None:
"""Send a message through DingTalk."""
token = await self._get_access_token()
if not token:
return
# oToMessages/batchSend: sends to individual users (private chat)
# https://open.dingtalk.com/document/orgapp/robot-batch-send-messages
url = "https://api.dingtalk.com/v1.0/robot/oToMessages/batchSend"
if msg.content and msg.content.strip():
await self._send_markdown_text(token, msg.chat_id, msg.content.strip())
headers = {"x-acs-dingtalk-access-token": token}
data = {
"robotCode": self.config.client_id,
"userIds": [msg.chat_id], # chat_id is the user's staffId
"msgKey": "sampleMarkdown",
"msgParam": json.dumps({
"text": msg.content,
"title": "Nanobot Reply",
}, ensure_ascii=False),
}
if not self._http:
logger.warning("DingTalk HTTP client not initialized, cannot send")
return
try:
resp = await self._http.post(url, json=data, headers=headers)
if resp.status_code != 200:
logger.error("DingTalk send failed: {}", resp.text)
else:
logger.debug("DingTalk message sent to {}", msg.chat_id)
except Exception as e:
logger.error("Error sending DingTalk message: {}", e)
for media_ref in msg.media or []:
ok = await self._send_media_ref(token, msg.chat_id, media_ref)
if ok:
continue
logger.error("DingTalk media send failed for {}", media_ref)
# Send visible fallback so failures are observable by the user.
filename = self._guess_filename(media_ref, self._guess_upload_type(media_ref))
await self._send_markdown_text(
token,
msg.chat_id,
f"[Attachment send failed: {filename}]",
)
async def _on_message(self, content: str, sender_id: str, sender_name: str) -> None:
"""Handle incoming message (called by NanobotDingTalkHandler).

60
nanobot/channels/discord.py
View File

@ -13,35 +13,13 @@ from nanobot.bus.events import OutboundMessage
from nanobot.bus.queue import MessageBus
from nanobot.channels.base import BaseChannel
from nanobot.config.schema import DiscordConfig
from nanobot.utils.helpers import split_message
DISCORD_API_BASE = "https://discord.com/api/v10"
MAX_ATTACHMENT_BYTES = 20 * 1024 * 1024 # 20MB
MAX_MESSAGE_LEN = 2000 # Discord message character limit
def _split_message(content: str, max_len: int = MAX_MESSAGE_LEN) -> list[str]:
"""Split content into chunks within max_len, preferring line breaks."""
if not content:
return []
if len(content) <= max_len:
return [content]
chunks: list[str] = []
while content:
if len(content) <= max_len:
chunks.append(content)
break
cut = content[:max_len]
pos = cut.rfind('\n')
if pos <= 0:
pos = cut.rfind(' ')
if pos <= 0:
pos = max_len
chunks.append(content[:pos])
content = content[pos:].lstrip()
return chunks
class DiscordChannel(BaseChannel):
"""Discord channel using Gateway websocket."""
@ -55,6 +33,7 @@ class DiscordChannel(BaseChannel):
self._heartbeat_task: asyncio.Task | None = None
self._typing_tasks: dict[str, asyncio.Task] = {}
self._http: httpx.AsyncClient | None = None
self._bot_user_id: str | None = None
async def start(self) -> None:
"""Start the Discord gateway connection."""
@ -105,7 +84,7 @@ class DiscordChannel(BaseChannel):
headers = {"Authorization": f"Bot {self.config.token}"}
try:
chunks = _split_message(msg.content or "")
chunks = split_message(msg.content or "", MAX_MESSAGE_LEN)
if not chunks:
return
@ -171,6 +150,10 @@ class DiscordChannel(BaseChannel):
await self._identify()
elif op == 0 and event_type == "READY":
logger.info("Discord gateway READY")
# Capture bot user ID for mention detection
user_data = payload.get("user") or {}
self._bot_user_id = user_data.get("id")
logger.info("Discord bot connected as user {}", self._bot_user_id)
elif op == 0 and event_type == "MESSAGE_CREATE":
await self._handle_message_create(payload)
elif op == 7:
@ -227,6 +210,7 @@ class DiscordChannel(BaseChannel):
sender_id = str(author.get("id", ""))
channel_id = str(payload.get("channel_id", ""))
content = payload.get("content") or ""
guild_id = payload.get("guild_id")
if not sender_id or not channel_id:
return
@ -234,6 +218,11 @@ class DiscordChannel(BaseChannel):
if not self.is_allowed(sender_id):
return
# Check group channel policy (DMs always respond if is_allowed passes)
if guild_id is not None:
if not self._should_respond_in_group(payload, content):
return
content_parts = [content] if content else []
media_paths: list[str] = []
media_dir = Path.home() / ".nanobot" / "media"
@ -270,11 +259,32 @@ class DiscordChannel(BaseChannel):
media=media_paths,
metadata={
"message_id": str(payload.get("id", "")),
"guild_id": payload.get("guild_id"),
"guild_id": guild_id,
"reply_to": reply_to,
},
)
def _should_respond_in_group(self, payload: dict[str, Any], content: str) -> bool:
"""Check if bot should respond in a group channel based on policy."""
if self.config.group_policy == "open":
return True
if self.config.group_policy == "mention":
# Check if bot was mentioned in the message
if self._bot_user_id:
# Check mentions array
mentions = payload.get("mentions") or []
for mention in mentions:
if str(mention.get("id")) == self._bot_user_id:
return True
# Also check content for mention format <@USER_ID>
if f"<@{self._bot_user_id}>" in content or f"<@!{self._bot_user_id}>" in content:
return True
logger.debug("Discord message in {} ignored (bot not mentioned)", payload.get("channel_id"))
return False
return True
async def _start_typing(self, channel_id: str) -> None:
"""Start periodic typing indicator for a channel."""
await self._stop_typing(channel_id)

431
nanobot/channels/feishu.py
View File

@ -16,27 +16,9 @@ from nanobot.bus.queue import MessageBus
from nanobot.channels.base import BaseChannel
from nanobot.config.schema import FeishuConfig
try:
import lark_oapi as lark
from lark_oapi.api.im.v1 import (
CreateFileRequest,
CreateFileRequestBody,
CreateImageRequest,
CreateImageRequestBody,
CreateMessageRequest,
CreateMessageRequestBody,
CreateMessageReactionRequest,
CreateMessageReactionRequestBody,
Emoji,
GetFileRequest,
GetMessageResourceRequest,
P2ImMessageReceiveV1,
)
FEISHU_AVAILABLE = True
except ImportError:
FEISHU_AVAILABLE = False
lark = None
Emoji = None
import importlib.util
FEISHU_AVAILABLE = importlib.util.find_spec("lark_oapi") is not None
# Message type display mapping
MSG_TYPE_MAP = {
@ -70,7 +52,7 @@ def _extract_share_card_content(content_json: dict, msg_type: str) -> str:
def _extract_interactive_content(content: dict) -> list[str]:
"""Recursively extract text and links from interactive card content."""
parts = []
if isinstance(content, str):
try:
content = json.loads(content)
@ -104,19 +86,19 @@ def _extract_interactive_content(content: dict) -> list[str]:
header_text = header_title.get("content", "") or header_title.get("text", "")
if header_text:
parts.append(f"title: {header_text}")
return parts
def _extract_element_content(element: dict) -> list[str]:
"""Extract content from a single card element."""
parts = []
if not isinstance(element, dict):
return parts
tag = element.get("tag", "")
if tag in ("markdown", "lark_md"):
content = element.get("content", "")
if content:
@ -177,69 +159,71 @@ def _extract_element_content(element: dict) -> list[str]:
else:
for ne in element.get("elements", []):
parts.extend(_extract_element_content(ne))
return parts
def _extract_post_content(content_json: dict) -> tuple[str, list[str]]:
"""Extract text and image keys from Feishu post (rich text) message content.
Supports two formats:
1. Direct format: {"title": "...", "content": [...]}
2. Localized format: {"zh_cn": {"title": "...", "content": [...]}}
Returns:
(text, image_keys) - extracted text and list of image keys
"""Extract text and image keys from Feishu post (rich text) message.
Handles three payload shapes:
- Direct: {"title": "...", "content": [[...]]}
- Localized: {"zh_cn": {"title": "...", "content": [...]}}
- Wrapped: {"post": {"zh_cn": {"title": "...", "content": [...]}}}
"""
def extract_from_lang(lang_content: dict) -> tuple[str | None, list[str]]:
if not isinstance(lang_content, dict):
def _parse_block(block: dict) -> tuple[str | None, list[str]]:
if not isinstance(block, dict) or not isinstance(block.get("content"), list):
return None, []
title = lang_content.get("title", "")
content_blocks = lang_content.get("content", [])
if not isinstance(content_blocks, list):
return None, []
text_parts = []
image_keys = []
if title:
text_parts.append(title)
for block in content_blocks:
if not isinstance(block, list):
texts, images = [], []
if title := block.get("title"):
texts.append(title)
for row in block["content"]:
if not isinstance(row, list):
continue
for element in block:
if isinstance(element, dict):
tag = element.get("tag")
if tag == "text":
text_parts.append(element.get("text", ""))
elif tag == "a":
text_parts.append(element.get("text", ""))
elif tag == "at":
text_parts.append(f"@{element.get('user_name', 'user')}")
elif tag == "img":
img_key = element.get("image_key")
if img_key:
image_keys.append(img_key)
text = " ".join(text_parts).strip() if text_parts else None
return text, image_keys
# Try direct format first
if "content" in content_json:
text, images = extract_from_lang(content_json)
if text or images:
return text or "", images
# Try localized format
for lang_key in ("zh_cn", "en_us", "ja_jp"):
lang_content = content_json.get(lang_key)
text, images = extract_from_lang(lang_content)
if text or images:
return text or "", images
for el in row:
if not isinstance(el, dict):
continue
tag = el.get("tag")
if tag in ("text", "a"):
texts.append(el.get("text", ""))
elif tag == "at":
texts.append(f"@{el.get('user_name', 'user')}")
elif tag == "img" and (key := el.get("image_key")):
images.append(key)
return (" ".join(texts).strip() or None), images
# Unwrap optional {"post": ...} envelope
root = content_json
if isinstance(root, dict) and isinstance(root.get("post"), dict):
root = root["post"]
if not isinstance(root, dict):
return "", []
# Direct format
if "content" in root:
text, imgs = _parse_block(root)
if text or imgs:
return text or "", imgs
# Localized: prefer known locales, then fall back to any dict child
for key in ("zh_cn", "en_us", "ja_jp"):
if key in root:
text, imgs = _parse_block(root[key])
if text or imgs:
return text or "", imgs
for val in root.values():
if isinstance(val, dict):
text, imgs = _parse_block(val)
if text or imgs:
return text or "", imgs
return "", []
def _extract_post_text(content_json: dict) -> str:
"""Extract plain text from Feishu post (rich text) message content.
Legacy wrapper for _extract_post_content, returns only text.
"""
text, _ = _extract_post_content(content_json)
@ -249,17 +233,17 @@ def _extract_post_text(content_json: dict) -> str:
class FeishuChannel(BaseChannel):
"""
Feishu/Lark channel using WebSocket long connection.
Uses WebSocket to receive events - no public IP or webhook required.
Requires:
- App ID and App Secret from Feishu Open Platform
- Bot capability enabled
- Event subscription enabled (im.message.receive_v1)
"""
name = "feishu"
def __init__(self, config: FeishuConfig, bus: MessageBus):
super().__init__(config, bus)
self.config: FeishuConfig = config
@ -268,27 +252,28 @@ class FeishuChannel(BaseChannel):
self._ws_thread: threading.Thread | None = None
self._processed_message_ids: OrderedDict[str, None] = OrderedDict() # Ordered dedup cache
self._loop: asyncio.AbstractEventLoop | None = None
async def start(self) -> None:
"""Start the Feishu bot with WebSocket long connection."""
if not FEISHU_AVAILABLE:
logger.error("Feishu SDK not installed. Run: pip install lark-oapi")
return
if not self.config.app_id or not self.config.app_secret:
logger.error("Feishu app_id and app_secret not configured")
return
import lark_oapi as lark
self._running = True
self._loop = asyncio.get_running_loop()
# Create Lark client for sending messages
self._client = lark.Client.builder() \
.app_id(self.config.app_id) \
.app_secret(self.config.app_secret) \
.log_level(lark.LogLevel.INFO) \
.build()
# Create event handler (only register message receive, ignore other events)
event_handler = lark.EventDispatcherHandler.builder(
self.config.encrypt_key or "",
@ -296,7 +281,7 @@ class FeishuChannel(BaseChannel):
).register_p2_im_message_receive_v1(
self._on_message_sync
).build()
# Create WebSocket client for long connection
self._ws_client = lark.ws.Client(
self.config.app_id,
@ -304,39 +289,54 @@ class FeishuChannel(BaseChannel):
event_handler=event_handler,
log_level=lark.LogLevel.INFO
)
# Start WebSocket client in a separate thread with reconnect loop
# Start WebSocket client in a separate thread with reconnect loop.
# A dedicated event loop is created for this thread so that lark_oapi's
# module-level `loop = asyncio.get_event_loop()` picks up an idle loop
# instead of the already-running main asyncio loop, which would cause
# "This event loop is already running" errors.
def run_ws():
while self._running:
try:
self._ws_client.start()
except Exception as e:
logger.warning("Feishu WebSocket error: {}", e)
if self._running:
import time; time.sleep(5)
import time
import lark_oapi.ws.client as _lark_ws_client
ws_loop = asyncio.new_event_loop()
asyncio.set_event_loop(ws_loop)
# Patch the module-level loop used by lark's ws Client.start()
_lark_ws_client.loop = ws_loop
try:
while self._running:
try:
self._ws_client.start()
except Exception as e:
logger.warning("Feishu WebSocket error: {}", e)
if self._running:
time.sleep(5)
finally:
ws_loop.close()
self._ws_thread = threading.Thread(target=run_ws, daemon=True)
self._ws_thread.start()
logger.info("Feishu bot started with WebSocket long connection")
logger.info("No public IP required - using WebSocket to receive events")
# Keep running until stopped
while self._running:
await asyncio.sleep(1)
async def stop(self) -> None:
"""Stop the Feishu bot."""
"""
Stop the Feishu bot.
Notice: lark.ws.Client does not expose stop method， simply exiting the program will close the client.
Reference: https://github.com/larksuite/oapi-sdk-python/blob/v2_main/lark_oapi/ws/client.py#L86
"""
self._running = False
if self._ws_client:
try:
self._ws_client.stop()
except Exception as e:
logger.warning("Error stopping WebSocket client: {}", e)
logger.info("Feishu bot stopped")
def _add_reaction_sync(self, message_id: str, emoji_type: str) -> None:
"""Sync helper for adding reaction (runs in thread pool)."""
from lark_oapi.api.im.v1 import CreateMessageReactionRequest, CreateMessageReactionRequestBody, Emoji
try:
request = CreateMessageReactionRequest.builder() \
.message_id(message_id) \
@ -345,9 +345,9 @@ class FeishuChannel(BaseChannel):
.reaction_type(Emoji.builder().emoji_type(emoji_type).build())
.build()
).build()
response = self._client.im.v1.message_reaction.create(request)
if not response.success():
logger.warning("Failed to add reaction: code={}, msg={}", response.code, response.msg)
else:
@ -358,15 +358,15 @@ class FeishuChannel(BaseChannel):
async def _add_reaction(self, message_id: str, emoji_type: str = "THUMBSUP") -> None:
"""
Add a reaction emoji to a message (non-blocking).
Common emoji types: THUMBSUP, OK, EYES, DONE, OnIt, HEART
"""
if not self._client or not Emoji:
if not self._client:
return
loop = asyncio.get_running_loop()
await loop.run_in_executor(None, self._add_reaction_sync, message_id, emoji_type)
# Regex to match markdown tables (header + separator + data rows)
_TABLE_RE = re.compile(
r"((?:^[ \t]*\|.+\|[ \t]*\n)(?:^[ \t]*\|[-:\s|]+\|[ \t]*\n)(?:^[ \t]*\|.+\|[ \t]*\n?)+)",
@ -380,12 +380,13 @@ class FeishuChannel(BaseChannel):
@staticmethod
def _parse_md_table(table_text: str) -> dict | None:
"""Parse a markdown table into a Feishu table element."""
lines = [l.strip() for l in table_text.strip().split("\n") if l.strip()]
lines = [_line.strip() for _line in table_text.strip().split("\n") if _line.strip()]
if len(lines) < 3:
return None
split = lambda l: [c.strip() for c in l.strip("|").split("|")]
def split(_line: str) -> list[str]:
return [c.strip() for c in _line.strip("|").split("|")]
headers = split(lines[0])
rows = [split(l) for l in lines[2:]]
rows = [split(_line) for _line in lines[2:]]
columns = [{"tag": "column", "name": f"c{i}", "display_name": h, "width": "auto"}
for i, h in enumerate(headers)]
return {
@ -409,6 +410,34 @@ class FeishuChannel(BaseChannel):
elements.extend(self._split_headings(remaining))
return elements or [{"tag": "markdown", "content": content}]
@staticmethod
def _split_elements_by_table_limit(elements: list[dict], max_tables: int = 1) -> list[list[dict]]:
"""Split card elements into groups with at most *max_tables* table elements each.
Feishu cards have a hard limit of one table per card (API error 11310).
When the rendered content contains multiple markdown tables each table is
placed in a separate card message so every table reaches the user.
"""
if not elements:
return [[]]
groups: list[list[dict]] = []
current: list[dict] = []
table_count = 0
for el in elements:
if el.get("tag") == "table":
if table_count >= max_tables:
if current:
groups.append(current)
current = []
table_count = 0
current.append(el)
table_count += 1
else:
current.append(el)
if current:
groups.append(current)
return groups or [[]]
def _split_headings(self, content: str) -> list[dict]:
"""Split content by headings, converting headings to div elements."""
protected = content
@ -443,8 +472,124 @@ class FeishuChannel(BaseChannel):
return elements or [{"tag": "markdown", "content": content}]
# ── Smart format detection ──────────────────────────────────────────
# Patterns that indicate "complex" markdown needing card rendering
_COMPLEX_MD_RE = re.compile(
r"```" # fenced code block
r"|^\|.+\|.*\n\s*\|[-:\s|]+\|" # markdown table (header + separator)
r"|^#{1,6}\s+" # headings
, re.MULTILINE,
)
# Simple markdown patterns (bold, italic, strikethrough)
_SIMPLE_MD_RE = re.compile(
r"\*\*.+?\*\*" # **bold**
r"|__.+?__" # __bold__
r"|(?<!\*)\*(?!\*)(.+?)(?<!\*)\*(?!\*)" # *italic* (single *)
r"|~~.+?~~" # ~~strikethrough~~
, re.DOTALL,
)
# Markdown link: [text](url)
_MD_LINK_RE = re.compile(r"\[([^\]]+)\]\((https?://[^\)]+)\)")
# Unordered list items
_LIST_RE = re.compile(r"^[\s]*[-*+]\s+", re.MULTILINE)
# Ordered list items
_OLIST_RE = re.compile(r"^[\s]*\d+\.\s+", re.MULTILINE)
# Max length for plain text format
_TEXT_MAX_LEN = 200
# Max length for post (rich text) format; beyond this, use card
_POST_MAX_LEN = 2000
@classmethod
def _detect_msg_format(cls, content: str) -> str:
"""Determine the optimal Feishu message format for *content*.
Returns one of:
- ``"text"`` – plain text, short and no markdown
- ``"post"`` – rich text (links only, moderate length)
- ``"interactive"`` – card with full markdown rendering
"""
stripped = content.strip()
# Complex markdown (code blocks, tables, headings) → always card
if cls._COMPLEX_MD_RE.search(stripped):
return "interactive"
# Long content → card (better readability with card layout)
if len(stripped) > cls._POST_MAX_LEN:
return "interactive"
# Has bold/italic/strikethrough → card (post format can't render these)
if cls._SIMPLE_MD_RE.search(stripped):
return "interactive"
# Has list items → card (post format can't render list bullets well)
if cls._LIST_RE.search(stripped) or cls._OLIST_RE.search(stripped):
return "interactive"
# Has links → post format (supports <a> tags)
if cls._MD_LINK_RE.search(stripped):
return "post"
# Short plain text → text format
if len(stripped) <= cls._TEXT_MAX_LEN:
return "text"
# Medium plain text without any formatting → post format
return "post"
@classmethod
def _markdown_to_post(cls, content: str) -> str:
"""Convert markdown content to Feishu post message JSON.
Handles links ``[text](url)`` as ``a`` tags; everything else as ``text`` tags.
Each line becomes a paragraph (row) in the post body.
"""
lines = content.strip().split("\n")
paragraphs: list[list[dict]] = []
for line in lines:
elements: list[dict] = []
last_end = 0
for m in cls._MD_LINK_RE.finditer(line):
# Text before this link
before = line[last_end:m.start()]
if before:
elements.append({"tag": "text", "text": before})
elements.append({
"tag": "a",
"text": m.group(1),
"href": m.group(2),
})
last_end = m.end()
# Remaining text after last link
remaining = line[last_end:]
if remaining:
elements.append({"tag": "text", "text": remaining})
# Empty line → empty paragraph for spacing
if not elements:
elements.append({"tag": "text", "text": ""})
paragraphs.append(elements)
post_body = {
"zh_cn": {
"content": paragraphs,
}
}
return json.dumps(post_body, ensure_ascii=False)
_IMAGE_EXTS = {".png", ".jpg", ".jpeg", ".gif", ".bmp", ".webp", ".ico", ".tiff", ".tif"}
_AUDIO_EXTS = {".opus"}
_VIDEO_EXTS = {".mp4", ".mov", ".avi"}
_FILE_TYPE_MAP = {
".opus": "opus", ".mp4": "mp4", ".pdf": "pdf", ".doc": "doc", ".docx": "doc",
".xls": "xls", ".xlsx": "xls", ".ppt": "ppt", ".pptx": "ppt",
@ -452,6 +597,7 @@ class FeishuChannel(BaseChannel):
def _upload_image_sync(self, file_path: str) -> str | None:
"""Upload an image to Feishu and return the image_key."""
from lark_oapi.api.im.v1 import CreateImageRequest, CreateImageRequestBody
try:
with open(file_path, "rb") as f:
request = CreateImageRequest.builder() \
@ -475,6 +621,7 @@ class FeishuChannel(BaseChannel):
def _upload_file_sync(self, file_path: str) -> str | None:
"""Upload a file to Feishu and return the file_key."""
from lark_oapi.api.im.v1 import CreateFileRequest, CreateFileRequestBody
ext = os.path.splitext(file_path)[1].lower()
file_type = self._FILE_TYPE_MAP.get(ext, "stream")
file_name = os.path.basename(file_path)
@ -502,6 +649,7 @@ class FeishuChannel(BaseChannel):
def _download_image_sync(self, message_id: str, image_key: str) -> tuple[bytes | None, str | None]:
"""Download an image from Feishu message by message_id and image_key."""
from lark_oapi.api.im.v1 import GetMessageResourceRequest
try:
request = GetMessageResourceRequest.builder() \
.message_id(message_id) \
@ -526,6 +674,13 @@ class FeishuChannel(BaseChannel):
self, message_id: str, file_key: str, resource_type: str = "file"
) -> tuple[bytes | None, str | None]:
"""Download a file/audio/media from a Feishu message by message_id and file_key."""
from lark_oapi.api.im.v1 import GetMessageResourceRequest
# Feishu API only accepts 'image' or 'file' as type parameter
# Convert 'audio' to 'file' for API compatibility
if resource_type == "audio":
resource_type = "file"
try:
request = (
GetMessageResourceRequest.builder()
@ -594,6 +749,7 @@ class FeishuChannel(BaseChannel):
def _send_message_sync(self, receive_id_type: str, receive_id: str, msg_type: str, content: str) -> bool:
"""Send a single message (text/image/file/interactive) synchronously."""
from lark_oapi.api.im.v1 import CreateMessageRequest, CreateMessageRequestBody
try:
request = CreateMessageRequest.builder() \
.receive_id_type(receive_id_type) \
@ -642,22 +798,49 @@ class FeishuChannel(BaseChannel):
else:
key = await loop.run_in_executor(None, self._upload_file_sync, file_path)
if key:
media_type = "audio" if ext in self._AUDIO_EXTS else "file"
# Use msg_type "media" for audio/video so users can play inline;
# "file" for everything else (documents, archives, etc.)
if ext in self._AUDIO_EXTS or ext in self._VIDEO_EXTS:
media_type = "media"
else:
media_type = "file"
await loop.run_in_executor(
None, self._send_message_sync,
receive_id_type, msg.chat_id, media_type, json.dumps({"file_key": key}, ensure_ascii=False),
)
if msg.content and msg.content.strip():
card = {"config": {"wide_screen_mode": True}, "elements": self._build_card_elements(msg.content)}
await loop.run_in_executor(
None, self._send_message_sync,
receive_id_type, msg.chat_id, "interactive", json.dumps(card, ensure_ascii=False),
)
fmt = self._detect_msg_format(msg.content)
if fmt == "text":
# Short plain text – send as simple text message
text_body = json.dumps({"text": msg.content.strip()}, ensure_ascii=False)
await loop.run_in_executor(
None, self._send_message_sync,
receive_id_type, msg.chat_id, "text", text_body,
)
elif fmt == "post":
# Medium content with links – send as rich-text post
post_body = self._markdown_to_post(msg.content)
await loop.run_in_executor(
None, self._send_message_sync,
receive_id_type, msg.chat_id, "post", post_body,
)
else:
# Complex / long content – send as interactive card
elements = self._build_card_elements(msg.content)
for chunk in self._split_elements_by_table_limit(elements):
card = {"config": {"wide_screen_mode": True}, "elements": chunk}
await loop.run_in_executor(
None, self._send_message_sync,
receive_id_type, msg.chat_id, "interactive", json.dumps(card, ensure_ascii=False),
)
except Exception as e:
logger.error("Error sending Feishu message: {}", e)
def _on_message_sync(self, data: "P2ImMessageReceiveV1") -> None:
"""
Sync handler for incoming messages (called from WebSocket thread).
@ -665,7 +848,7 @@ class FeishuChannel(BaseChannel):
"""
if self._loop and self._loop.is_running():
asyncio.run_coroutine_threadsafe(self._on_message(data), self._loop)
async def _on_message(self, data: "P2ImMessageReceiveV1") -> None:
"""Handle incoming message from Feishu."""
try:

56
nanobot/channels/manager.py
View File

@ -16,24 +16,24 @@ from nanobot.config.schema import Config
class ChannelManager:
"""
Manages chat channels and coordinates message routing.
Responsibilities:
- Initialize enabled channels (Telegram, WhatsApp, etc.)
- Start/stop channels
- Route outbound messages
"""
def __init__(self, config: Config, bus: MessageBus):
self.config = config
self.bus = bus
self.channels: dict[str, BaseChannel] = {}
self._dispatch_task: asyncio.Task | None = None
self._init_channels()
def _init_channels(self) -> None:
"""Initialize channels based on config."""
# Telegram channel
if self.config.channels.telegram.enabled:
try:
@ -46,7 +46,7 @@ class ChannelManager:
logger.info("Telegram channel enabled")
except ImportError as e:
logger.warning("Telegram channel not available: {}", e)
# WhatsApp channel
if self.config.channels.whatsapp.enabled:
try:
@ -68,7 +68,7 @@ class ChannelManager:
logger.info("Discord channel enabled")
except ImportError as e:
logger.warning("Discord channel not available: {}", e)
# Feishu channel
if self.config.channels.feishu.enabled:
try:
@ -136,7 +136,7 @@ class ChannelManager:
logger.info("QQ channel enabled")
except ImportError as e:
logger.warning("QQ channel not available: {}", e)
# Matrix channel
if self.config.channels.matrix.enabled:
try:
@ -148,7 +148,17 @@ class ChannelManager:
logger.info("Matrix channel enabled")
except ImportError as e:
logger.warning("Matrix channel not available: {}", e)
self._validate_allow_from()
def _validate_allow_from(self) -> None:
for name, ch in self.channels.items():
if getattr(ch.config, "allow_from", None) == []:
raise SystemExit(
f'Error: "{name}" has empty allowFrom (denies all). '
f'Set ["*"] to allow everyone, or add specific user IDs.'
)
async def _start_channel(self, name: str, channel: BaseChannel) -> None:
"""Start a channel and log any exceptions."""
try:
@ -161,23 +171,23 @@ class ChannelManager:
if not self.channels:
logger.warning("No channels enabled")
return
# Start outbound dispatcher
self._dispatch_task = asyncio.create_task(self._dispatch_outbound())
# Start channels
tasks = []
for name, channel in self.channels.items():
logger.info("Starting {} channel...", name)
tasks.append(asyncio.create_task(self._start_channel(name, channel)))
# Wait for all to complete (they should run forever)
await asyncio.gather(*tasks, return_exceptions=True)
async def stop_all(self) -> None:
"""Stop all channels and the dispatcher."""
logger.info("Stopping all channels...")
# Stop dispatcher
if self._dispatch_task:
self._dispatch_task.cancel()
@ -185,7 +195,7 @@ class ChannelManager:
await self._dispatch_task
except asyncio.CancelledError:
pass
# Stop all channels
for name, channel in self.channels.items():
try:
@ -193,24 +203,24 @@ class ChannelManager:
logger.info("Stopped {} channel", name)
except Exception as e:
logger.error("Error stopping {}: {}", name, e)
async def _dispatch_outbound(self) -> None:
"""Dispatch outbound messages to the appropriate channel."""
logger.info("Outbound dispatcher started")
while True:
try:
msg = await asyncio.wait_for(
self.bus.consume_outbound(),
timeout=1.0
)
if msg.metadata.get("_progress"):
if msg.metadata.get("_tool_hint") and not self.config.channels.send_tool_hints:
continue
if not msg.metadata.get("_tool_hint") and not self.config.channels.send_progress:
continue
channel = self.channels.get(msg.channel)
if channel:
try:
@ -219,16 +229,16 @@ class ChannelManager:
logger.error("Error sending to {}: {}", msg.channel, e)
else:
logger.warning("Unknown channel: {}", msg.channel)
except asyncio.TimeoutError:
continue
except asyncio.CancelledError:
break
def get_channel(self, name: str) -> BaseChannel | None:
"""Get a channel by name."""
return self.channels.get(name)
def get_status(self) -> dict[str, Any]:
"""Get status of all channels."""
return {
@ -238,7 +248,7 @@ class ChannelManager:
}
for name, channel in self.channels.items()
}
@property
def enabled_channels(self) -> list[str]:
"""Get list of enabled channel names."""

33
nanobot/channels/matrix.py
View File

@ -12,10 +12,22 @@ try:
import nh3
from mistune import create_markdown
from nio import (
AsyncClient, AsyncClientConfig, ContentRepositoryConfigError,
DownloadError, InviteEvent, JoinError, MatrixRoom, MemoryDownloadResponse,
RoomEncryptedMedia, RoomMessage, RoomMessageMedia, RoomMessageText,
RoomSendError, RoomTypingError, SyncError, UploadError,
AsyncClient,
AsyncClientConfig,
ContentRepositoryConfigError,
DownloadError,
InviteEvent,
JoinError,
MatrixRoom,
MemoryDownloadResponse,
RoomEncryptedMedia,
RoomMessage,
RoomMessageMedia,
RoomMessageText,
RoomSendError,
RoomTypingError,
SyncError,
UploadError,
)
from nio.crypto.attachments import decrypt_attachment
from nio.exceptions import EncryptionError
@ -350,7 +362,11 @@ class MatrixChannel(BaseChannel):
limit_bytes = await self._effective_media_limit_bytes()
for path in candidates:
if fail := await self._upload_and_send_attachment(
msg.chat_id, path, limit_bytes, relates_to):
room_id=msg.chat_id,
path=path,
limit_bytes=limit_bytes,
relates_to=relates_to,
):
failures.append(fail)
if failures:
text = f"{text.rstrip()}\n{chr(10).join(failures)}" if text.strip() else "\n".join(failures)
@ -438,8 +454,7 @@ class MatrixChannel(BaseChannel):
await asyncio.sleep(2)
async def _on_room_invite(self, room: MatrixRoom, event: InviteEvent) -> None:
allow_from = self.config.allow_from or []
if not allow_from or event.sender in allow_from:
if self.is_allowed(event.sender):
await self.client.join(room.room_id)
def _is_direct_room(self, room: MatrixRoom) -> bool:
@ -664,11 +679,13 @@ class MatrixChannel(BaseChannel):
parts: list[str] = []
if isinstance(body := getattr(event, "body", None), str) and body.strip():
parts.append(body.strip())
parts.append(marker)
if marker:
parts.append(marker)
await self._start_typing_keepalive(room.room_id)
try:
meta = self._base_metadata(room, event)
meta["attachments"] = []
if attachment:
meta["attachments"] = [attachment]
await self._handle_message(

7
nanobot/channels/qq.py
View File

@ -31,7 +31,8 @@ def _make_bot_class(channel: "QQChannel") -> "type[botpy.Client]":
class _Bot(botpy.Client):
def __init__(self):
super().__init__(intents=intents)
# Disable botpy's file log — nanobot uses loguru; default "botpy.log" fails on read-only fs
super().__init__(intents=intents, ext_handlers=False)
async def on_ready(self):
logger.info("QQ bot ready: {}", self.robot.name)
@ -55,6 +56,7 @@ class QQChannel(BaseChannel):
self.config: QQConfig = config
self._client: "botpy.Client | None" = None
self._processed_ids: deque = deque(maxlen=1000)
self._msg_seq: int = 1 # 消息序列号，避免被 QQ API 去重
async def start(self) -> None:
"""Start the QQ bot."""
@ -101,11 +103,13 @@ class QQChannel(BaseChannel):
return
try:
msg_id = msg.metadata.get("message_id")
self._msg_seq += 1 # 递增序列号
await self._client.api.post_c2c_message(
openid=msg.chat_id,
msg_type=0,
content=msg.content,
msg_id=msg_id,
msg_seq=self._msg_seq, # 添加序列号避免去重
)
except Exception as e:
logger.error("Error sending QQ message: {}", e)
@ -132,3 +136,4 @@ class QQChannel(BaseChannel):
)
except Exception:
logger.exception("Error handling QQ message")

3
nanobot/channels/slack.py
View File

@ -5,11 +5,10 @@ import re
from typing import Any
from loguru import logger
from slack_sdk.socket_mode.websockets import SocketModeClient
from slack_sdk.socket_mode.request import SocketModeRequest
from slack_sdk.socket_mode.response import SocketModeResponse
from slack_sdk.socket_mode.websockets import SocketModeClient
from slack_sdk.web.async_client import AsyncWebClient
from slackify_markdown import slackify_markdown
from nanobot.bus.events import OutboundMessage

196
nanobot/channels/telegram.py
View File

@ -4,15 +4,19 @@ from __future__ import annotations
import asyncio
import re
from loguru import logger
from telegram import BotCommand, Update, ReplyParameters
from telegram.ext import Application, CommandHandler, MessageHandler, filters, ContextTypes
from telegram import BotCommand, ReplyParameters, Update
from telegram.ext import Application, CommandHandler, ContextTypes, MessageHandler, filters
from telegram.request import HTTPXRequest
from nanobot.bus.events import OutboundMessage
from nanobot.bus.queue import MessageBus
from nanobot.channels.base import BaseChannel
from nanobot.config.schema import TelegramConfig
from nanobot.utils.helpers import split_message
TELEGRAM_MAX_MESSAGE_LEN = 4000 # Telegram message character limit
def _markdown_to_telegram_html(text: str) -> str:
@ -21,92 +25,72 @@ def _markdown_to_telegram_html(text: str) -> str:
"""
if not text:
return ""
# 1. Extract and protect code blocks (preserve content from other processing)
code_blocks: list[str] = []
def save_code_block(m: re.Match) -> str:
code_blocks.append(m.group(1))
return f"\x00CB{len(code_blocks) - 1}\x00"
text = re.sub(r'```[\w]*\n?([\s\S]*?)```', save_code_block, text)
# 2. Extract and protect inline code
inline_codes: list[str] = []
def save_inline_code(m: re.Match) -> str:
inline_codes.append(m.group(1))
return f"\x00IC{len(inline_codes) - 1}\x00"
text = re.sub(r'`([^`]+)`', save_inline_code, text)
# 3. Headers # Title -> just the title text
text = re.sub(r'^#{1,6}\s+(.+)$', r'\1', text, flags=re.MULTILINE)
# 4. Blockquotes > text -> just the text (before HTML escaping)
text = re.sub(r'^>\s*(.*)$', r'\1', text, flags=re.MULTILINE)
# 5. Escape HTML special characters
text = text.replace("&", "&amp;").replace("<", "&lt;").replace(">", "&gt;")
# 6. Links [text](url) - must be before bold/italic to handle nested cases
text = re.sub(r'\[([^\]]+)\]\(([^)]+)\)', r'<a href="\2">\1</a>', text)
# 7. Bold **text** or __text__
text = re.sub(r'\*\*(.+?)\*\*', r'<b>\1</b>', text)
text = re.sub(r'__(.+?)__', r'<b>\1</b>', text)
# 8. Italic _text_ (avoid matching inside words like some_var_name)
text = re.sub(r'(?<![a-zA-Z0-9])_([^_]+)_(?![a-zA-Z0-9])', r'<i>\1</i>', text)
# 9. Strikethrough ~~text~~
text = re.sub(r'~~(.+?)~~', r'<s>\1</s>', text)
# 10. Bullet lists - item -> • item
text = re.sub(r'^[-*]\s+', '• ', text, flags=re.MULTILINE)
# 11. Restore inline code with HTML tags
for i, code in enumerate(inline_codes):
# Escape HTML in code content
escaped = code.replace("&", "&amp;").replace("<", "&lt;").replace(">", "&gt;")
text = text.replace(f"\x00IC{i}\x00", f"<code>{escaped}</code>")
# 12. Restore code blocks with HTML tags
for i, code in enumerate(code_blocks):
# Escape HTML in code content
escaped = code.replace("&", "&amp;").replace("<", "&lt;").replace(">", "&gt;")
text = text.replace(f"\x00CB{i}\x00", f"<pre><code>{escaped}</code></pre>")
return text
def _split_message(content: str, max_len: int = 4000) -> list[str]:
"""Split content into chunks within max_len, preferring line breaks."""
if len(content) <= max_len:
return [content]
chunks: list[str] = []
while content:
if len(content) <= max_len:
chunks.append(content)
break
cut = content[:max_len]
pos = cut.rfind('\n')
if pos == -1:
pos = cut.rfind(' ')
if pos == -1:
pos = max_len
chunks.append(content[:pos])
content = content[pos:].lstrip()
return chunks
class TelegramChannel(BaseChannel):
"""
Telegram channel using long polling.
Simple and reliable - no webhook/public IP needed.
"""
name = "telegram"
# Commands registered with Telegram's command menu
BOT_COMMANDS = [
BotCommand("start", "Start the bot"),
@ -114,7 +98,7 @@ class TelegramChannel(BaseChannel):
BotCommand("stop", "Stop the current task"),
BotCommand("help", "Show available commands"),
]
def __init__(
self,
config: TelegramConfig,
@ -129,15 +113,15 @@ class TelegramChannel(BaseChannel):
self._typing_tasks: dict[str, asyncio.Task] = {} # chat_id -> typing loop task
self._media_group_buffers: dict[str, dict] = {}
self._media_group_tasks: dict[str, asyncio.Task] = {}
async def start(self) -> None:
"""Start the Telegram bot with long polling."""
if not self.config.token:
logger.error("Telegram bot token not configured")
return
self._running = True
# Build the application with larger connection pool to avoid pool-timeout on long runs
req = HTTPXRequest(connection_pool_size=16, pool_timeout=5.0, connect_timeout=30.0, read_timeout=30.0)
builder = Application.builder().token(self.config.token).request(req).get_updates_request(req)
@ -145,51 +129,51 @@ class TelegramChannel(BaseChannel):
builder = builder.proxy(self.config.proxy).get_updates_proxy(self.config.proxy)
self._app = builder.build()
self._app.add_error_handler(self._on_error)
# Add command handlers
self._app.add_handler(CommandHandler("start", self._on_start))
self._app.add_handler(CommandHandler("new", self._forward_command))
self._app.add_handler(CommandHandler("help", self._on_help))
# Add message handler for text, photos, voice, documents
self._app.add_handler(
MessageHandler(
(filters.TEXT | filters.PHOTO | filters.VOICE | filters.AUDIO | filters.Document.ALL)
& ~filters.COMMAND,
(filters.TEXT | filters.PHOTO | filters.VOICE | filters.AUDIO | filters.Document.ALL)
& ~filters.COMMAND,
self._on_message
)
)
logger.info("Starting Telegram bot (polling mode)...")
# Initialize and start polling
await self._app.initialize()
await self._app.start()
# Get bot info and register command menu
bot_info = await self._app.bot.get_me()
logger.info("Telegram bot @{} connected", bot_info.username)
try:
await self._app.bot.set_my_commands(self.BOT_COMMANDS)
logger.debug("Telegram bot commands registered")
except Exception as e:
logger.warning("Failed to register bot commands: {}", e)
# Start polling (this runs until stopped)
await self._app.updater.start_polling(
allowed_updates=["message"],
drop_pending_updates=True # Ignore old messages on startup
)
# Keep running until stopped
while self._running:
await asyncio.sleep(1)
async def stop(self) -> None:
"""Stop the Telegram bot."""
self._running = False
# Cancel all typing indicators
for chat_id in list(self._typing_tasks):
self._stop_typing(chat_id)
@ -198,14 +182,14 @@ class TelegramChannel(BaseChannel):
task.cancel()
self._media_group_tasks.clear()
self._media_group_buffers.clear()
if self._app:
logger.info("Stopping Telegram bot...")
await self._app.updater.stop()
await self._app.stop()
await self._app.shutdown()
self._app = None
@staticmethod
def _get_media_type(path: str) -> str:
"""Guess media type from file extension."""
@ -224,7 +208,9 @@ class TelegramChannel(BaseChannel):
logger.warning("Telegram bot not running")
return
self._stop_typing(msg.chat_id)
# Only stop typing indicator for final responses
if not msg.metadata.get("_progress", False):
self._stop_typing(msg.chat_id)
try:
chat_id = int(msg.chat_id)
@ -253,7 +239,7 @@ class TelegramChannel(BaseChannel):
param = "photo" if media_type == "photo" else media_type if media_type in ("voice", "audio") else "document"
with open(media_path, 'rb') as f:
await sender(
chat_id=chat_id,
chat_id=chat_id,
**{param: f},
reply_parameters=reply_params
)
@ -268,26 +254,44 @@ class TelegramChannel(BaseChannel):
# Send text content
if msg.content and msg.content != "[empty message]":
for chunk in _split_message(msg.content):
is_progress = msg.metadata.get("_progress", False)
draft_id = msg.metadata.get("message_id")
for chunk in split_message(msg.content, TELEGRAM_MAX_MESSAGE_LEN):
try:
html = _markdown_to_telegram_html(chunk)
await self._app.bot.send_message(
chat_id=chat_id,
text=html,
parse_mode="HTML",
reply_parameters=reply_params
)
if is_progress and draft_id:
await self._app.bot.send_message_draft(
chat_id=chat_id,
draft_id=draft_id,
text=html,
parse_mode="HTML"
)
else:
await self._app.bot.send_message(
chat_id=chat_id,
text=html,
parse_mode="HTML",
reply_parameters=reply_params
)
except Exception as e:
logger.warning("HTML parse failed, falling back to plain text: {}", e)
try:
await self._app.bot.send_message(
chat_id=chat_id,
text=chunk,
reply_parameters=reply_params
)
if is_progress and draft_id:
await self._app.bot.send_message_draft(
chat_id=chat_id,
draft_id=draft_id,
text=chunk
)
else:
await self._app.bot.send_message(
chat_id=chat_id,
text=chunk,
reply_parameters=reply_params
)
except Exception as e2:
logger.error("Error sending Telegram message: {}", e2)
async def _on_start(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
"""Handle /start command."""
if not update.message or not update.effective_user:
@ -326,34 +330,34 @@ class TelegramChannel(BaseChannel):
chat_id=str(update.message.chat_id),
content=update.message.text,
)
async def _on_message(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
"""Handle incoming messages (text, photos, voice, documents)."""
if not update.message or not update.effective_user:
return
message = update.message
user = update.effective_user
chat_id = message.chat_id
sender_id = self._sender_id(user)
# Store chat_id for replies
self._chat_ids[sender_id] = chat_id
# Build content from text and/or media
content_parts = []
media_paths = []
# Text content
if message.text:
content_parts.append(message.text)
if message.caption:
content_parts.append(message.caption)
# Handle media files
media_file = None
media_type = None
if message.photo:
media_file = message.photo[-1] # Largest photo
media_type = "image"
@ -366,23 +370,23 @@ class TelegramChannel(BaseChannel):
elif message.document:
media_file = message.document
media_type = "file"
# Download media if present
if media_file and self._app:
try:
file = await self._app.bot.get_file(media_file.file_id)
ext = self._get_extension(media_type, getattr(media_file, 'mime_type', None))
# Save to workspace/media/
from pathlib import Path
media_dir = Path.home() / ".nanobot" / "media"
media_dir.mkdir(parents=True, exist_ok=True)
file_path = media_dir / f"{media_file.file_id[:16]}{ext}"
await file.download_to_drive(str(file_path))
media_paths.append(str(file_path))
# Handle voice transcription
if media_type == "voice" or media_type == "audio":
from nanobot.providers.transcription import GroqTranscriptionProvider
@ -395,16 +399,16 @@ class TelegramChannel(BaseChannel):
content_parts.append(f"[{media_type}: {file_path}]")
else:
content_parts.append(f"[{media_type}: {file_path}]")
logger.debug("Downloaded {} to {}", media_type, file_path)
except Exception as e:
logger.error("Failed to download media: {}", e)
content_parts.append(f"[{media_type}: download failed]")
content = "\n".join(content_parts) if content_parts else "[empty message]"
logger.debug("Telegram message from {}: {}...", sender_id, content[:50])
str_chat_id = str(chat_id)
# Telegram media groups: buffer briefly, forward as one aggregated turn.
@ -428,10 +432,10 @@ class TelegramChannel(BaseChannel):
if key not in self._media_group_tasks:
self._media_group_tasks[key] = asyncio.create_task(self._flush_media_group(key))
return
# Start typing indicator before processing
self._start_typing(str_chat_id)
# Forward to the message bus
await self._handle_message(
sender_id=sender_id,
@ -446,7 +450,7 @@ class TelegramChannel(BaseChannel):
"is_group": message.chat.type != "private"
}
)
async def _flush_media_group(self, key: str) -> None:
"""Wait briefly, then forward buffered media-group as one turn."""
try:
@ -467,13 +471,13 @@ class TelegramChannel(BaseChannel):
# Cancel any existing typing task for this chat
self._stop_typing(chat_id)
self._typing_tasks[chat_id] = asyncio.create_task(self._typing_loop(chat_id))
def _stop_typing(self, chat_id: str) -> None:
"""Stop the typing indicator for a chat."""
task = self._typing_tasks.pop(chat_id, None)
if task and not task.done():
task.cancel()
async def _typing_loop(self, chat_id: str) -> None:
"""Repeatedly send 'typing' action until cancelled."""
try:
@ -484,7 +488,7 @@ class TelegramChannel(BaseChannel):
pass
except Exception as e:
logger.debug("Typing indicator stopped for {}: {}", chat_id, e)
async def _on_error(self, update: object, context: ContextTypes.DEFAULT_TYPE) -> None:
"""Log polling / handler errors instead of silently swallowing them."""
logger.error("Telegram error: {}", context.error)
@ -498,6 +502,6 @@ class TelegramChannel(BaseChannel):
}
if mime_type in ext_map:
return ext_map[mime_type]
type_map = {"image": ".jpg", "voice": ".ogg", "audio": ".mp3", "file": ""}
return type_map.get(media_type, "")

65
nanobot/channels/whatsapp.py
View File

@ -2,7 +2,7 @@
import asyncio
import json
from typing import Any
from collections import OrderedDict
from loguru import logger
@ -15,29 +15,30 @@ from nanobot.config.schema import WhatsAppConfig
class WhatsAppChannel(BaseChannel):
"""
WhatsApp channel that connects to a Node.js bridge.
The bridge uses @whiskeysockets/baileys to handle the WhatsApp Web protocol.
Communication between Python and Node.js is via WebSocket.
"""
name = "whatsapp"
def __init__(self, config: WhatsAppConfig, bus: MessageBus):
super().__init__(config, bus)
self.config: WhatsAppConfig = config
self._ws = None
self._connected = False
self._processed_message_ids: OrderedDict[str, None] = OrderedDict()
async def start(self) -> None:
"""Start the WhatsApp channel by connecting to the bridge."""
import websockets
bridge_url = self.config.bridge_url
logger.info("Connecting to WhatsApp bridge at {}...", bridge_url)
self._running = True
while self._running:
try:
async with websockets.connect(bridge_url) as ws:
@ -47,40 +48,40 @@ class WhatsAppChannel(BaseChannel):
await ws.send(json.dumps({"type": "auth", "token": self.config.bridge_token}))
self._connected = True
logger.info("Connected to WhatsApp bridge")
# Listen for messages
async for message in ws:
try:
await self._handle_bridge_message(message)
except Exception as e:
logger.error("Error handling bridge message: {}", e)
except asyncio.CancelledError:
break
except Exception as e:
self._connected = False
self._ws = None
logger.warning("WhatsApp bridge connection error: {}", e)
if self._running:
logger.info("Reconnecting in 5 seconds...")
await asyncio.sleep(5)
async def stop(self) -> None:
"""Stop the WhatsApp channel."""
self._running = False
self._connected = False
if self._ws:
await self._ws.close()
self._ws = None
async def send(self, msg: OutboundMessage) -> None:
"""Send a message through WhatsApp."""
if not self._ws or not self._connected:
logger.warning("WhatsApp bridge not connected")
return
try:
payload = {
"type": "send",
@ -90,7 +91,7 @@ class WhatsAppChannel(BaseChannel):
await self._ws.send(json.dumps(payload, ensure_ascii=False))
except Exception as e:
logger.error("Error sending WhatsApp message: {}", e)
async def _handle_bridge_message(self, raw: str) -> None:
"""Handle a message from the bridge."""
try:
@ -98,51 +99,59 @@ class WhatsAppChannel(BaseChannel):
except json.JSONDecodeError:
logger.warning("Invalid JSON from bridge: {}", raw[:100])
return
msg_type = data.get("type")
if msg_type == "message":
# Incoming message from WhatsApp
# Deprecated by whatsapp: old phone number style typically: <phone>@s.whatspp.net
pn = data.get("pn", "")
# New LID sytle typically:
# New LID sytle typically:
sender = data.get("sender", "")
content = data.get("content", "")
message_id = data.get("id", "")
if message_id:
if message_id in self._processed_message_ids:
return
self._processed_message_ids[message_id] = None
while len(self._processed_message_ids) > 1000:
self._processed_message_ids.popitem(last=False)
# Extract just the phone number or lid as chat_id
user_id = pn if pn else sender
sender_id = user_id.split("@")[0] if "@" in user_id else user_id
logger.info("Sender {}", sender)
# Handle voice transcription if it's a voice message
if content == "[Voice Message]":
logger.info("Voice message received from {}, but direct download from bridge is not yet supported.", sender_id)
content = "[Voice Message: Transcription not available for WhatsApp yet]"
await self._handle_message(
sender_id=sender_id,
chat_id=sender, # Use full LID for replies
content=content,
metadata={
"message_id": data.get("id"),
"message_id": message_id,
"timestamp": data.get("timestamp"),
"is_group": data.get("isGroup", False)
}
)
elif msg_type == "status":
# Connection status update
status = data.get("status")
logger.info("WhatsApp status: {}", status)
if status == "connected":
self._connected = True
elif status == "disconnected":
self._connected = False
elif msg_type == "qr":
# QR code for authentication
logger.info("Scan QR code in the bridge terminal to connect WhatsApp")
elif msg_type == "error":
logger.error("WhatsApp bridge error: {}", data.get('error'))

410
nanobot/cli/commands.py
View File

@ -2,23 +2,34 @@
import asyncio
import os
import signal
from pathlib import Path
import select
import signal
import sys
from pathlib import Path
# Force UTF-8 encoding for Windows console
if sys.platform == "win32":
import locale
if sys.stdout.encoding != "utf-8":
os.environ["PYTHONIOENCODING"] = "utf-8"
# Re-open stdout/stderr with UTF-8 encoding
try:
sys.stdout.reconfigure(encoding="utf-8", errors="replace")
sys.stderr.reconfigure(encoding="utf-8", errors="replace")
except Exception:
pass
import typer
from prompt_toolkit import PromptSession
from prompt_toolkit.formatted_text import HTML
from prompt_toolkit.history import FileHistory
from prompt_toolkit.patch_stdout import patch_stdout
from rich.console import Console
from rich.markdown import Markdown
from rich.table import Table
from rich.text import Text
from prompt_toolkit import PromptSession
from prompt_toolkit.formatted_text import HTML
from prompt_toolkit.history import FileHistory
from prompt_toolkit.patch_stdout import patch_stdout
from nanobot import __version__, __logo__
from nanobot import __logo__, __version__
from nanobot.config.schema import Config
from nanobot.utils.helpers import sync_workspace_templates
@ -160,9 +171,9 @@ def onboard():
from nanobot.config.loader import get_config_path, load_config, save_config
from nanobot.config.schema import Config
from nanobot.utils.helpers import get_workspace_path
config_path = get_config_path()
if config_path.exists():
console.print(f"[yellow]Config already exists at {config_path}[/yellow]")
console.print(" [bold]y[/bold] = overwrite with defaults (existing values will be lost)")
@ -178,16 +189,16 @@ def onboard():
else:
save_config(Config())
console.print(f"[green]✓[/green] Created config at {config_path}")
# Create workspace
workspace = get_workspace_path()
if not workspace.exists():
workspace.mkdir(parents=True, exist_ok=True)
console.print(f"[green]✓[/green] Created workspace at {workspace}")
sync_workspace_templates(workspace)
console.print(f"\n{__logo__} nanobot is ready!")
console.print("\nNext steps:")
console.print(" 1. Add your API key to [cyan]~/.nanobot/config.json[/cyan]")
@ -201,9 +212,7 @@ def onboard():
def _make_provider(config: Config):
"""Create the appropriate LLM provider from config."""
from nanobot.providers.litellm_provider import LiteLLMProvider
from nanobot.providers.openai_codex_provider import OpenAICodexProvider
from nanobot.providers.custom_provider import CustomProvider
model = config.agents.defaults.model
provider_name = config.get_provider_name(model)
@ -214,6 +223,7 @@ def _make_provider(config: Config):
return OpenAICodexProvider(default_model=model)
# Custom: direct OpenAI-compatible endpoint, bypasses LiteLLM
from nanobot.providers.custom_provider import CustomProvider
if provider_name == "custom":
return CustomProvider(
api_key=p.api_key if p else "no-key",
@ -221,6 +231,7 @@ def _make_provider(config: Config):
default_model=model,
)
from nanobot.providers.litellm_provider import LiteLLMProvider
from nanobot.providers.registry import find_by_name
spec = find_by_name(provider_name)
if not model.startswith("bedrock/") and not (p and p.api_key) and not (spec and spec.is_oauth):
@ -284,7 +295,9 @@ def serve(
max_tokens=config.agents.defaults.max_tokens,
max_iterations=config.agents.defaults.max_tool_iterations,
memory_window=config.agents.defaults.memory_window,
reasoning_effort=config.agents.defaults.reasoning_effort,
brave_api_key=config.tools.web.search.api_key or None,
web_proxy=config.tools.web.proxy or None,
exec_config=config.tools.exec,
restrict_to_workspace=config.tools.restrict_to_workspace,
session_manager=session_manager,
@ -322,34 +335,40 @@ def serve(
@app.command()
def gateway(
port: int = typer.Option(18790, "--port", "-p", help="Gateway port"),
workspace: str | None = typer.Option(None, "--workspace", "-w", help="Workspace directory"),
config: str | None = typer.Option(None, "--config", "-c", help="Config file path"),
verbose: bool = typer.Option(False, "--verbose", "-v", help="Verbose output"),
):
"""Start the nanobot gateway."""
from nanobot.config.loader import load_config, get_data_dir
from nanobot.bus.queue import MessageBus
from nanobot.agent.loop import AgentLoop
from nanobot.bus.queue import MessageBus
from nanobot.channels.manager import ChannelManager
from nanobot.session.manager import SessionManager
from nanobot.config.loader import load_config
from nanobot.cron.service import CronService
from nanobot.cron.types import CronJob
from nanobot.heartbeat.service import HeartbeatService
from nanobot.session.manager import SessionManager
if verbose:
import logging
logging.basicConfig(level=logging.DEBUG)
config_path = Path(config) if config else None
config = load_config(config_path)
if workspace:
config.agents.defaults.workspace = workspace
console.print(f"{__logo__} Starting nanobot gateway on port {port}...")
config = load_config()
sync_workspace_templates(config.workspace_path)
bus = MessageBus()
provider = _make_provider(config)
session_manager = SessionManager(config.workspace_path)
# Create cron service first (callback set after agent creation)
cron_store_path = get_data_dir() / "cron" / "jobs.json"
# Use workspace path for per-instance cron store
cron_store_path = config.workspace_path / "cron" / "jobs.json"
cron = CronService(cron_store_path)
# Create agent with cron service
agent = AgentLoop(
bus=bus,
@ -360,7 +379,9 @@ def gateway(
max_tokens=config.agents.defaults.max_tokens,
max_iterations=config.agents.defaults.max_tool_iterations,
memory_window=config.agents.defaults.memory_window,
reasoning_effort=config.agents.defaults.reasoning_effort,
brave_api_key=config.tools.web.search.api_key or None,
web_proxy=config.tools.web.proxy or None,
exec_config=config.tools.exec,
cron_service=cron,
restrict_to_workspace=config.tools.restrict_to_workspace,
@ -368,26 +389,48 @@ def gateway(
mcp_servers=config.tools.mcp_servers,
channels_config=config.channels,
)
# Set cron callback (needs agent)
async def on_cron_job(job: CronJob) -> str | None:
"""Execute a cron job through the agent."""
response = await agent.process_direct(
job.payload.message,
session_key=f"cron:{job.id}",
channel=job.payload.channel or "cli",
chat_id=job.payload.to or "direct",
from nanobot.agent.tools.cron import CronTool
from nanobot.agent.tools.message import MessageTool
reminder_note = (
"[Scheduled Task] Timer finished.\n\n"
f"Task '{job.name}' has been triggered.\n"
f"Scheduled instruction: {job.payload.message}"
)
if job.payload.deliver and job.payload.to:
# Prevent the agent from scheduling new cron jobs during execution
cron_tool = agent.tools.get("cron")
cron_token = None
if isinstance(cron_tool, CronTool):
cron_token = cron_tool.set_cron_context(True)
try:
response = await agent.process_direct(
reminder_note,
session_key=f"cron:{job.id}",
channel=job.payload.channel or "cli",
chat_id=job.payload.to or "direct",
)
finally:
if isinstance(cron_tool, CronTool) and cron_token is not None:
cron_tool.reset_cron_context(cron_token)
message_tool = agent.tools.get("message")
if isinstance(message_tool, MessageTool) and message_tool._sent_in_turn:
return response
if job.payload.deliver and job.payload.to and response:
from nanobot.bus.events import OutboundMessage
await bus.publish_outbound(OutboundMessage(
channel=job.payload.channel or "cli",
chat_id=job.payload.to,
content=response or ""
content=response
))
return response
cron.on_job = on_cron_job
# Create channel manager
channels = ChannelManager(config, bus)
@ -441,18 +484,18 @@ def gateway(
interval_s=hb_cfg.interval_s,
enabled=hb_cfg.enabled,
)
if channels.enabled_channels:
console.print(f"[green]✓[/green] Channels enabled: {', '.join(channels.enabled_channels)}")
else:
console.print("[yellow]Warning: No channels enabled[/yellow]")
cron_status = cron.status()
if cron_status["jobs"] > 0:
console.print(f"[green]✓[/green] Cron: {cron_status['jobs']} scheduled jobs")
console.print(f"[green]✓[/green] Heartbeat: every {hb_cfg.interval_s}s")
async def run():
try:
await cron.start()
@ -469,7 +512,7 @@ def gateway(
cron.stop()
agent.stop()
await channels.stop_all()
asyncio.run(run())
@ -488,15 +531,16 @@ def agent(
logs: bool = typer.Option(False, "--logs/--no-logs", help="Show nanobot runtime logs during chat"),
):
"""Interact with the agent directly."""
from nanobot.config.loader import load_config, get_data_dir
from nanobot.bus.queue import MessageBus
from nanobot.agent.loop import AgentLoop
from nanobot.cron.service import CronService
from loguru import logger
from nanobot.agent.loop import AgentLoop
from nanobot.bus.queue import MessageBus
from nanobot.config.loader import get_data_dir, load_config
from nanobot.cron.service import CronService
config = load_config()
sync_workspace_templates(config.workspace_path)
bus = MessageBus()
provider = _make_provider(config)
@ -508,7 +552,7 @@ def agent(
logger.enable("nanobot")
else:
logger.disable("nanobot")
agent_loop = AgentLoop(
bus=bus,
provider=provider,
@ -518,14 +562,16 @@ def agent(
max_tokens=config.agents.defaults.max_tokens,
max_iterations=config.agents.defaults.max_tool_iterations,
memory_window=config.agents.defaults.memory_window,
reasoning_effort=config.agents.defaults.reasoning_effort,
brave_api_key=config.tools.web.search.api_key or None,
web_proxy=config.tools.web.proxy or None,
exec_config=config.tools.exec,
cron_service=cron,
restrict_to_workspace=config.tools.restrict_to_workspace,
mcp_servers=config.tools.mcp_servers,
channels_config=config.channels,
)
# Show spinner when logs are off (no output to miss); skip when logs are on
def _thinking_ctx():
if logs:
@ -562,12 +608,21 @@ def agent(
else:
cli_channel, cli_chat_id = "cli", session_id
def _exit_on_sigint(signum, frame):
def _handle_signal(signum, frame):
sig_name = signal.Signals(signum).name
_restore_terminal()
console.print("\nGoodbye!")
os._exit(0)
console.print(f"\nReceived {sig_name}, goodbye!")
sys.exit(0)
signal.signal(signal.SIGINT, _exit_on_sigint)
signal.signal(signal.SIGINT, _handle_signal)
signal.signal(signal.SIGTERM, _handle_signal)
# SIGHUP is not available on Windows
if hasattr(signal, 'SIGHUP'):
signal.signal(signal.SIGHUP, _handle_signal)
# Ignore SIGPIPE to prevent silent process termination when writing to closed pipes
# SIGPIPE is not available on Windows
if hasattr(signal, 'SIGPIPE'):
signal.signal(signal.SIGPIPE, signal.SIG_IGN)
async def run_interactive():
bus_task = asyncio.create_task(agent_loop.run())
@ -701,7 +756,7 @@ def channels_status():
"✓" if mc.enabled else "✗",
mc_base
)
# Telegram
tg = config.channels.telegram
tg_config = f"token: {tg.token[:10]}..." if tg.token else "[dim]not configured[/dim]"
@ -754,57 +809,57 @@ def _get_bridge_dir() -> Path:
"""Get the bridge directory, setting it up if needed."""
import shutil
import subprocess
# User's bridge location
user_bridge = Path.home() / ".nanobot" / "bridge"
# Check if already built
if (user_bridge / "dist" / "index.js").exists():
return user_bridge
# Check for npm
if not shutil.which("npm"):
console.print("[red]npm not found. Please install Node.js >= 18.[/red]")
raise typer.Exit(1)
# Find source bridge: first check package data, then source dir
pkg_bridge = Path(__file__).parent.parent / "bridge" # nanobot/bridge (installed)
src_bridge = Path(__file__).parent.parent.parent / "bridge" # repo root/bridge (dev)
source = None
if (pkg_bridge / "package.json").exists():
source = pkg_bridge
elif (src_bridge / "package.json").exists():
source = src_bridge
if not source:
console.print("[red]Bridge source not found.[/red]")
console.print("Try reinstalling: pip install --force-reinstall nanobot")
raise typer.Exit(1)
console.print(f"{__logo__} Setting up bridge...")
# Copy to user directory
user_bridge.parent.mkdir(parents=True, exist_ok=True)
if user_bridge.exists():
shutil.rmtree(user_bridge)
shutil.copytree(source, user_bridge, ignore=shutil.ignore_patterns("node_modules", "dist"))
# Install and build
try:
console.print(" Installing dependencies...")
subprocess.run(["npm", "install"], cwd=user_bridge, check=True, capture_output=True)
console.print(" Building...")
subprocess.run(["npm", "run", "build"], cwd=user_bridge, check=True, capture_output=True)
console.print("[green]✓[/green] Bridge ready\n")
except subprocess.CalledProcessError as e:
console.print(f"[red]Build failed: {e}[/red]")
if e.stderr:
console.print(f"[dim]{e.stderr.decode()[:500]}[/dim]")
raise typer.Exit(1)
return user_bridge
@ -812,18 +867,19 @@ def _get_bridge_dir() -> Path:
def channels_login():
"""Link device via QR code."""
import subprocess
from nanobot.config.loader import load_config
config = load_config()
bridge_dir = _get_bridge_dir()
console.print(f"{__logo__} Starting bridge...")
console.print("Scan the QR code to connect.\n")
env = {**os.environ}
if config.channels.whatsapp.bridge_token:
env["BRIDGE_TOKEN"] = config.channels.whatsapp.bridge_token
try:
subprocess.run(["npm", "start"], cwd=bridge_dir, check=True, env=env)
except subprocess.CalledProcessError as e:
@ -832,218 +888,6 @@ def channels_login():
console.print("[red]npm not found. Please install Node.js.[/red]")
# ============================================================================
# Cron Commands
# ============================================================================
cron_app = typer.Typer(help="Manage scheduled tasks")
app.add_typer(cron_app, name="cron")
@cron_app.command("list")
def cron_list(
all: bool = typer.Option(False, "--all", "-a", help="Include disabled jobs"),
):
"""List scheduled jobs."""
from nanobot.config.loader import get_data_dir
from nanobot.cron.service import CronService
store_path = get_data_dir() / "cron" / "jobs.json"
service = CronService(store_path)
jobs = service.list_jobs(include_disabled=all)
if not jobs:
console.print("No scheduled jobs.")
return
table = Table(title="Scheduled Jobs")
table.add_column("ID", style="cyan")
table.add_column("Name")
table.add_column("Schedule")
table.add_column("Status")
table.add_column("Next Run")
import time
from datetime import datetime as _dt
from zoneinfo import ZoneInfo
for job in jobs:
# Format schedule
if job.schedule.kind == "every":
sched = f"every {(job.schedule.every_ms or 0) // 1000}s"
elif job.schedule.kind == "cron":
sched = f"{job.schedule.expr or ''} ({job.schedule.tz})" if job.schedule.tz else (job.schedule.expr or "")
else:
sched = "one-time"
# Format next run
next_run = ""
if job.state.next_run_at_ms:
ts = job.state.next_run_at_ms / 1000
try:
tz = ZoneInfo(job.schedule.tz) if job.schedule.tz else None
next_run = _dt.fromtimestamp(ts, tz).strftime("%Y-%m-%d %H:%M")
except Exception:
next_run = time.strftime("%Y-%m-%d %H:%M", time.localtime(ts))
status = "[green]enabled[/green]" if job.enabled else "[dim]disabled[/dim]"
table.add_row(job.id, job.name, sched, status, next_run)
console.print(table)
@cron_app.command("add")
def cron_add(
name: str = typer.Option(..., "--name", "-n", help="Job name"),
message: str = typer.Option(..., "--message", "-m", help="Message for agent"),
every: int = typer.Option(None, "--every", "-e", help="Run every N seconds"),
cron_expr: str = typer.Option(None, "--cron", "-c", help="Cron expression (e.g. '0 9 * * *')"),
tz: str | None = typer.Option(None, "--tz", help="IANA timezone for cron (e.g. 'America/Vancouver')"),
at: str = typer.Option(None, "--at", help="Run once at time (ISO format)"),
deliver: bool = typer.Option(False, "--deliver", "-d", help="Deliver response to channel"),
to: str = typer.Option(None, "--to", help="Recipient for delivery"),
channel: str = typer.Option(None, "--channel", help="Channel for delivery (e.g. 'telegram', 'whatsapp')"),
):
"""Add a scheduled job."""
from nanobot.config.loader import get_data_dir
from nanobot.cron.service import CronService
from nanobot.cron.types import CronSchedule
if tz and not cron_expr:
console.print("[red]Error: --tz can only be used with --cron[/red]")
raise typer.Exit(1)
# Determine schedule type
if every:
schedule = CronSchedule(kind="every", every_ms=every * 1000)
elif cron_expr:
schedule = CronSchedule(kind="cron", expr=cron_expr, tz=tz)
elif at:
import datetime
dt = datetime.datetime.fromisoformat(at)
schedule = CronSchedule(kind="at", at_ms=int(dt.timestamp() * 1000))
else:
console.print("[red]Error: Must specify --every, --cron, or --at[/red]")
raise typer.Exit(1)
store_path = get_data_dir() / "cron" / "jobs.json"
service = CronService(store_path)
try:
job = service.add_job(
name=name,
schedule=schedule,
message=message,
deliver=deliver,
to=to,
channel=channel,
)
except ValueError as e:
console.print(f"[red]Error: {e}[/red]")
raise typer.Exit(1) from e
console.print(f"[green]✓[/green] Added job '{job.name}' ({job.id})")
@cron_app.command("remove")
def cron_remove(
job_id: str = typer.Argument(..., help="Job ID to remove"),
):
"""Remove a scheduled job."""
from nanobot.config.loader import get_data_dir
from nanobot.cron.service import CronService
store_path = get_data_dir() / "cron" / "jobs.json"
service = CronService(store_path)
if service.remove_job(job_id):
console.print(f"[green]✓[/green] Removed job {job_id}")
else:
console.print(f"[red]Job {job_id} not found[/red]")
@cron_app.command("enable")
def cron_enable(
job_id: str = typer.Argument(..., help="Job ID"),
disable: bool = typer.Option(False, "--disable", help="Disable instead of enable"),
):
"""Enable or disable a job."""
from nanobot.config.loader import get_data_dir
from nanobot.cron.service import CronService
store_path = get_data_dir() / "cron" / "jobs.json"
service = CronService(store_path)
job = service.enable_job(job_id, enabled=not disable)
if job:
status = "disabled" if disable else "enabled"
console.print(f"[green]✓[/green] Job '{job.name}' {status}")
else:
console.print(f"[red]Job {job_id} not found[/red]")
@cron_app.command("run")
def cron_run(
job_id: str = typer.Argument(..., help="Job ID to run"),
force: bool = typer.Option(False, "--force", "-f", help="Run even if disabled"),
):
"""Manually run a job."""
from loguru import logger
from nanobot.config.loader import load_config, get_data_dir
from nanobot.cron.service import CronService
from nanobot.cron.types import CronJob
from nanobot.bus.queue import MessageBus
from nanobot.agent.loop import AgentLoop
logger.disable("nanobot")
config = load_config()
provider = _make_provider(config)
bus = MessageBus()
agent_loop = AgentLoop(
bus=bus,
provider=provider,
workspace=config.workspace_path,
model=config.agents.defaults.model,
temperature=config.agents.defaults.temperature,
max_tokens=config.agents.defaults.max_tokens,
max_iterations=config.agents.defaults.max_tool_iterations,
memory_window=config.agents.defaults.memory_window,
brave_api_key=config.tools.web.search.api_key or None,
exec_config=config.tools.exec,
restrict_to_workspace=config.tools.restrict_to_workspace,
mcp_servers=config.tools.mcp_servers,
channels_config=config.channels,
)
store_path = get_data_dir() / "cron" / "jobs.json"
service = CronService(store_path)
result_holder = []
async def on_job(job: CronJob) -> str | None:
response = await agent_loop.process_direct(
job.payload.message,
session_key=f"cron:{job.id}",
channel=job.payload.channel or "cli",
chat_id=job.payload.to or "direct",
)
result_holder.append(response)
return response
service.on_job = on_job
async def run():
return await service.run_job(job_id, force=force)
if asyncio.run(run()):
console.print("[green]✓[/green] Job executed")
if result_holder:
_print_agent_response(result_holder[0], render_markdown=True)
else:
console.print(f"[red]Failed to run job {job_id}[/red]")
# ============================================================================
# Status Commands
# ============================================================================
@ -1052,7 +896,7 @@ def cron_run(
@app.command()
def status():
"""Show nanobot status."""
from nanobot.config.loader import load_config, get_config_path
from nanobot.config.loader import get_config_path, load_config
config_path = get_config_path()
config = load_config()
@ -1067,7 +911,7 @@ def status():
from nanobot.providers.registry import PROVIDERS
console.print(f"Model: {config.agents.defaults.model}")
# Check API keys from registry
for spec in PROVIDERS:
p = getattr(config.providers, spec.name, None)

2
nanobot/config/__init__.py
View File

@ -1,6 +1,6 @@
"""Configuration module for nanobot."""
from nanobot.config.loader import load_config, get_config_path
from nanobot.config.loader import get_config_path, load_config
from nanobot.config.schema import Config
__all__ = ["Config", "load_config", "get_config_path"]

71
nanobot/config/schema.py
View File

@ -3,7 +3,7 @@
from pathlib import Path
from typing import Literal
from pydantic import BaseModel, Field, ConfigDict
from pydantic import BaseModel, ConfigDict, Field
from pydantic.alias_generators import to_camel
from pydantic_settings import BaseSettings
@ -29,7 +29,9 @@ class TelegramConfig(Base):
enabled: bool = False
token: str = "" # Bot token from @BotFather
allow_from: list[str] = Field(default_factory=list) # Allowed user IDs or usernames
proxy: str | None = None # HTTP/SOCKS5 proxy URL, e.g. "http://127.0.0.1:7890" or "socks5://127.0.0.1:1080"
proxy: str | None = (
None # HTTP/SOCKS5 proxy URL, e.g. "http://127.0.0.1:7890" or "socks5://127.0.0.1:1080"
)
reply_to_message: bool = False # If true, bot replies quote the original message
@ -42,7 +44,9 @@ class FeishuConfig(Base):
encrypt_key: str = "" # Encrypt Key for event subscription (optional)
verification_token: str = "" # Verification Token for event subscription (optional)
allow_from: list[str] = Field(default_factory=list) # Allowed user open_ids
react_emoji: str = "THUMBSUP" # Emoji type for message reactions (e.g. THUMBSUP, OK, DONE, SMILE)
react_emoji: str = (
"THUMBSUP" # Emoji type for message reactions (e.g. THUMBSUP, OK, DONE, SMILE)
)
class DingTalkConfig(Base):
@ -62,6 +66,7 @@ class DiscordConfig(Base):
allow_from: list[str] = Field(default_factory=list) # Allowed user IDs
gateway_url: str = "wss://gateway.discord.gg/?v=10&encoding=json"
intents: int = 37377 # GUILDS + GUILD_MESSAGES + DIRECT_MESSAGES + MESSAGE_CONTENT
group_policy: Literal["mention", "open"] = "mention"
class MatrixConfig(Base):
@ -72,9 +77,13 @@ class MatrixConfig(Base):
access_token: str = ""
user_id: str = "" # @bot:matrix.org
device_id: str = ""
e2ee_enabled: bool = True # Enable Matrix E2EE support (encryption + encrypted room handling).
sync_stop_grace_seconds: int = 2 # Max seconds to wait for sync_forever to stop gracefully before cancellation fallback.
max_media_bytes: int = 20 * 1024 * 1024 # Max attachment size accepted for Matrix media handling (inbound + outbound).
e2ee_enabled: bool = True # Enable Matrix E2EE support (encryption + encrypted room handling).
sync_stop_grace_seconds: int = (
2 # Max seconds to wait for sync_forever to stop gracefully before cancellation fallback.
)
max_media_bytes: int = (
20 * 1024 * 1024
) # Max attachment size accepted for Matrix media handling (inbound + outbound).
allow_from: list[str] = Field(default_factory=list)
group_policy: Literal["open", "mention", "allowlist"] = "open"
group_allow_from: list[str] = Field(default_factory=list)
@ -105,7 +114,9 @@ class EmailConfig(Base):
from_address: str = ""
# Behavior
auto_reply_enabled: bool = True # If false, inbound email is read but no automatic reply is sent
auto_reply_enabled: bool = (
True # If false, inbound email is read but no automatic reply is sent
)
poll_interval_seconds: int = 30
mark_seen: bool = True
max_body_chars: int = 12000
@ -171,6 +182,7 @@ class SlackConfig(Base):
user_token_read_only: bool = True
reply_in_thread: bool = True
react_emoji: str = "eyes"
allow_from: list[str] = Field(default_factory=list) # Allowed Slack user IDs (sender-level)
group_policy: str = "mention" # "mention", "open", "allowlist"
group_allow_from: list[str] = Field(default_factory=list) # Allowed channel IDs if allowlist
dm: SlackDMConfig = Field(default_factory=SlackDMConfig)
@ -182,27 +194,17 @@ class QQConfig(Base):
enabled: bool = False
app_id: str = "" # 机器人 ID (AppID) from q.qq.com
secret: str = "" # 机器人密钥 (AppSecret) from q.qq.com
allow_from: list[str] = Field(default_factory=list) # Allowed user openids (empty = public access)
allow_from: list[str] = Field(
default_factory=list
) # Allowed user openids (empty = public access)
class MatrixConfig(Base):
"""Matrix (Element) channel configuration."""
enabled: bool = False
homeserver: str = "https://matrix.org"
access_token: str = ""
user_id: str = "" # e.g. @bot:matrix.org
device_id: str = ""
e2ee_enabled: bool = True # end-to-end encryption support
sync_stop_grace_seconds: int = 2 # graceful sync_forever shutdown timeout
max_media_bytes: int = 20 * 1024 * 1024 # inbound + outbound attachment limit
allow_from: list[str] = Field(default_factory=list)
group_policy: Literal["open", "mention", "allowlist"] = "open"
group_allow_from: list[str] = Field(default_factory=list)
allow_room_mentions: bool = False
class ChannelsConfig(Base):
"""Configuration for chat channels."""
send_progress: bool = True # stream agent's text progress to the channel
send_progress: bool = True # stream agent's text progress to the channel
send_tool_hints: bool = False # stream tool-call hints (e.g. read_file("…"))
whatsapp: WhatsAppConfig = Field(default_factory=WhatsAppConfig)
telegram: TelegramConfig = Field(default_factory=TelegramConfig)
@ -221,11 +223,14 @@ class AgentDefaults(Base):
workspace: str = "~/.nanobot/workspace"
model: str = "anthropic/claude-opus-4-5"
provider: str = "auto" # Provider name (e.g. "anthropic", "openrouter") or "auto" for auto-detection
provider: str = (
"auto" # Provider name (e.g. "anthropic", "openrouter") or "auto" for auto-detection
)
max_tokens: int = 8192
temperature: float = 0.1
max_tool_iterations: int = 40
memory_window: int = 100
reasoning_effort: str | None = None # low / medium / high — enables LLM thinking mode
class AgentsConfig(Base):
@ -258,8 +263,8 @@ class ProvidersConfig(Base):
moonshot: ProviderConfig = Field(default_factory=ProviderConfig)
minimax: ProviderConfig = Field(default_factory=ProviderConfig)
aihubmix: ProviderConfig = Field(default_factory=ProviderConfig) # AiHubMix API gateway
siliconflow: ProviderConfig = Field(default_factory=ProviderConfig) # SiliconFlow (硅基流动) API gateway
volcengine: ProviderConfig = Field(default_factory=ProviderConfig) # VolcEngine (火山引擎) API gateway
siliconflow: ProviderConfig = Field(default_factory=ProviderConfig) # SiliconFlow (硅基流动)
volcengine: ProviderConfig = Field(default_factory=ProviderConfig) # VolcEngine (火山引擎)
openai_codex: ProviderConfig = Field(default_factory=ProviderConfig) # OpenAI Codex (OAuth)
github_copilot: ProviderConfig = Field(default_factory=ProviderConfig) # Github Copilot (OAuth)
@ -289,6 +294,9 @@ class WebSearchConfig(Base):
class WebToolsConfig(Base):
"""Web tools configuration."""
proxy: str | None = (
None # HTTP/SOCKS5 proxy URL, e.g. "http://127.0.0.1:7890" or "socks5://127.0.0.1:1080"
)
search: WebSearchConfig = Field(default_factory=WebSearchConfig)
@ -302,12 +310,13 @@ class ExecToolConfig(Base):
class MCPServerConfig(Base):
"""MCP server connection configuration (stdio or HTTP)."""
type: Literal["stdio", "sse", "streamableHttp"] | None = None # auto-detected if omitted
command: str = "" # Stdio: command to run (e.g. "npx")
args: list[str] = Field(default_factory=list) # Stdio: command arguments
env: dict[str, str] = Field(default_factory=dict) # Stdio: extra env vars
url: str = "" # HTTP: streamable HTTP endpoint URL
headers: dict[str, str] = Field(default_factory=dict) # HTTP: Custom HTTP Headers
tool_timeout: int = 30 # Seconds before a tool call is cancelled
url: str = "" # HTTP/SSE: endpoint URL
headers: dict[str, str] = Field(default_factory=dict) # HTTP/SSE: custom headers
tool_timeout: int = 30 # seconds before a tool call is cancelled
class ToolsConfig(Base):
@ -333,7 +342,9 @@ class Config(BaseSettings):
"""Get expanded workspace path."""
return Path(self.agents.defaults.workspace).expanduser()
def _match_provider(self, model: str | None = None) -> tuple["ProviderConfig | None", str | None]:
def _match_provider(
self, model: str | None = None
) -> tuple["ProviderConfig | None", str | None]:
"""Match provider config and its registry name. Returns (config, spec_name)."""
from nanobot.providers.registry import PROVIDERS

99
nanobot/cron/service.py
View File

@ -21,17 +21,18 @@ def _compute_next_run(schedule: CronSchedule, now_ms: int) -> int | None:
"""Compute next run time in ms."""
if schedule.kind == "at":
return schedule.at_ms if schedule.at_ms and schedule.at_ms > now_ms else None
if schedule.kind == "every":
if not schedule.every_ms or schedule.every_ms <= 0:
return None
# Next interval from now
return now_ms + schedule.every_ms
if schedule.kind == "cron" and schedule.expr:
try:
from croniter import croniter
from zoneinfo import ZoneInfo
from croniter import croniter
# Use caller-provided reference time for deterministic scheduling
base_time = now_ms / 1000
tz = ZoneInfo(schedule.tz) if schedule.tz else datetime.now().astimezone().tzinfo
@ -41,7 +42,7 @@ def _compute_next_run(schedule: CronSchedule, now_ms: int) -> int | None:
return int(next_dt.timestamp() * 1000)
except Exception:
return None
return None
@ -61,23 +62,29 @@ def _validate_schedule_for_add(schedule: CronSchedule) -> None:
class CronService:
"""Service for managing and executing scheduled jobs."""
def __init__(
self,
store_path: Path,
on_job: Callable[[CronJob], Coroutine[Any, Any, str | None]] | None = None
):
self.store_path = store_path
self.on_job = on_job # Callback to execute job, returns response text
self.on_job = on_job
self._store: CronStore | None = None
self._last_mtime: float = 0.0
self._timer_task: asyncio.Task | None = None
self._running = False
def _load_store(self) -> CronStore:
"""Load jobs from disk."""
"""Load jobs from disk. Reloads automatically if file was modified externally."""
if self._store and self.store_path.exists():
mtime = self.store_path.stat().st_mtime
if mtime != self._last_mtime:
logger.info("Cron: jobs.json modified externally, reloading")
self._store = None
if self._store:
return self._store
if self.store_path.exists():
try:
data = json.loads(self.store_path.read_text(encoding="utf-8"))
@ -117,16 +124,16 @@ class CronService:
self._store = CronStore()
else:
self._store = CronStore()
return self._store
def _save_store(self) -> None:
"""Save jobs to disk."""
if not self._store:
return
self.store_path.parent.mkdir(parents=True, exist_ok=True)
data = {
"version": self._store.version,
"jobs": [
@ -161,8 +168,9 @@ class CronService:
for j in self._store.jobs
]
}
self.store_path.write_text(json.dumps(data, indent=2, ensure_ascii=False), encoding="utf-8")
self._last_mtime = self.store_path.stat().st_mtime
async def start(self) -> None:
"""Start the cron service."""
@ -172,14 +180,14 @@ class CronService:
self._save_store()
self._arm_timer()
logger.info("Cron service started with {} jobs", len(self._store.jobs if self._store else []))
def stop(self) -> None:
"""Stop the cron service."""
self._running = False
if self._timer_task:
self._timer_task.cancel()
self._timer_task = None
def _recompute_next_runs(self) -> None:
"""Recompute next run times for all enabled jobs."""
if not self._store:
@ -188,73 +196,74 @@ class CronService:
for job in self._store.jobs:
if job.enabled:
job.state.next_run_at_ms = _compute_next_run(job.schedule, now)
def _get_next_wake_ms(self) -> int | None:
"""Get the earliest next run time across all jobs."""
if not self._store:
return None
times = [j.state.next_run_at_ms for j in self._store.jobs
times = [j.state.next_run_at_ms for j in self._store.jobs
if j.enabled and j.state.next_run_at_ms]
return min(times) if times else None
def _arm_timer(self) -> None:
"""Schedule the next timer tick."""
if self._timer_task:
self._timer_task.cancel()
next_wake = self._get_next_wake_ms()
if not next_wake or not self._running:
return
delay_ms = max(0, next_wake - _now_ms())
delay_s = delay_ms / 1000
async def tick():
await asyncio.sleep(delay_s)
if self._running:
await self._on_timer()
self._timer_task = asyncio.create_task(tick())
async def _on_timer(self) -> None:
"""Handle timer tick - run due jobs."""
self._load_store()
if not self._store:
return
now = _now_ms()
due_jobs = [
j for j in self._store.jobs
if j.enabled and j.state.next_run_at_ms and now >= j.state.next_run_at_ms
]
for job in due_jobs:
await self._execute_job(job)
self._save_store()
self._arm_timer()
async def _execute_job(self, job: CronJob) -> None:
"""Execute a single job."""
start_ms = _now_ms()
logger.info("Cron: executing job '{}' ({})", job.name, job.id)
try:
response = None
if self.on_job:
response = await self.on_job(job)
job.state.last_status = "ok"
job.state.last_error = None
logger.info("Cron: job '{}' completed", job.name)
except Exception as e:
job.state.last_status = "error"
job.state.last_error = str(e)
logger.error("Cron: job '{}' failed: {}", job.name, e)
job.state.last_run_at_ms = start_ms
job.updated_at_ms = _now_ms()
# Handle one-shot jobs
if job.schedule.kind == "at":
if job.delete_after_run:
@ -265,15 +274,15 @@ class CronService:
else:
# Compute next run
job.state.next_run_at_ms = _compute_next_run(job.schedule, _now_ms())
# ========== Public API ==========
def list_jobs(self, include_disabled: bool = False) -> list[CronJob]:
"""List all jobs."""
store = self._load_store()
jobs = store.jobs if include_disabled else [j for j in store.jobs if j.enabled]
return sorted(jobs, key=lambda j: j.state.next_run_at_ms or float('inf'))
def add_job(
self,
name: str,
@ -288,7 +297,7 @@ class CronService:
store = self._load_store()
_validate_schedule_for_add(schedule)
now = _now_ms()
job = CronJob(
id=str(uuid.uuid4())[:8],
name=name,
@ -306,28 +315,28 @@ class CronService:
updated_at_ms=now,
delete_after_run=delete_after_run,
)
store.jobs.append(job)
self._save_store()
self._arm_timer()
logger.info("Cron: added job '{}' ({})", name, job.id)
return job
def remove_job(self, job_id: str) -> bool:
"""Remove a job by ID."""
store = self._load_store()
before = len(store.jobs)
store.jobs = [j for j in store.jobs if j.id != job_id]
removed = len(store.jobs) < before
if removed:
self._save_store()
self._arm_timer()
logger.info("Cron: removed job {}", job_id)
return removed
def enable_job(self, job_id: str, enabled: bool = True) -> CronJob | None:
"""Enable or disable a job."""
store = self._load_store()
@ -343,7 +352,7 @@ class CronService:
self._arm_timer()
return job
return None
async def run_job(self, job_id: str, force: bool = False) -> bool:
"""Manually run a job."""
store = self._load_store()
@ -356,7 +365,7 @@ class CronService:
self._arm_timer()
return True
return False
def status(self) -> dict:
"""Get service status."""
store = self._load_store()

14
nanobot/providers/base.py
View File

@ -21,6 +21,7 @@ class LLMResponse:
finish_reason: str = "stop"
usage: dict[str, int] = field(default_factory=dict)
reasoning_content: str | None = None # Kimi, DeepSeek-R1 etc.
thinking_blocks: list[dict] | None = None # Anthropic extended thinking
@property
def has_tool_calls(self) -> bool:
@ -35,7 +36,7 @@ class LLMProvider(ABC):
Implementations should handle the specifics of each provider's API
while maintaining a consistent interface.
"""
def __init__(self, api_key: str | None = None, api_base: str | None = None):
self.api_key = api_key
self.api_base = api_base
@ -77,9 +78,15 @@ class LLMProvider(ABC):
result.append(clean)
continue
if isinstance(content, dict):
clean = dict(msg)
clean["content"] = [content]
result.append(clean)
continue
result.append(msg)
return result
@abstractmethod
async def chat(
self,
@ -88,6 +95,7 @@ class LLMProvider(ABC):
model: str | None = None,
max_tokens: int = 4096,
temperature: float = 0.7,
reasoning_effort: str | None = None,
) -> LLMResponse:
"""
Send a chat completion request.
@ -103,7 +111,7 @@ class LLMProvider(ABC):
LLMResponse with content and/or tool calls.
"""
pass
@abstractmethod
def get_default_model(self) -> str:
"""Get the default model for this provider."""

13
nanobot/providers/custom_provider.py
View File

@ -2,6 +2,7 @@
from __future__ import annotations
import uuid
from typing import Any
import json_repair
@ -15,16 +16,24 @@ class CustomProvider(LLMProvider):
def __init__(self, api_key: str = "no-key", api_base: str = "http://localhost:8000/v1", default_model: str = "default"):
super().__init__(api_key, api_base)
self.default_model = default_model
self._client = AsyncOpenAI(api_key=api_key, base_url=api_base)
# Keep affinity stable for this provider instance to improve backend cache locality.
self._client = AsyncOpenAI(
api_key=api_key,
base_url=api_base,
default_headers={"x-session-affinity": uuid.uuid4().hex},
)
async def chat(self, messages: list[dict[str, Any]], tools: list[dict[str, Any]] | None = None,
model: str | None = None, max_tokens: int = 4096, temperature: float = 0.7) -> LLMResponse:
model: str | None = None, max_tokens: int = 4096, temperature: float = 0.7,
reasoning_effort: str | None = None) -> LLMResponse:
kwargs: dict[str, Any] = {
"model": model or self.default_model,
"messages": self._sanitize_empty_content(messages),
"max_tokens": max(1, max_tokens),
"temperature": temperature,
}
if reasoning_effort:
kwargs["reasoning_effort"] = reasoning_effort
if tools:
kwargs.update(tools=tools, tool_choice="auto")
try:

129
nanobot/providers/litellm_provider.py
View File

@ -1,22 +1,21 @@
"""LiteLLM provider implementation for multi-provider support."""
import json
import json_repair
import os
import secrets
import string
from typing import Any
import json_repair
import litellm
from litellm import acompletion
from loguru import logger
from nanobot.providers.base import LLMProvider, LLMResponse, ToolCallRequest
from nanobot.providers.registry import find_by_model, find_gateway
# Standard OpenAI chat-completion message keys plus reasoning_content for
# thinking-enabled models (Kimi k2.5, DeepSeek-R1, etc.).
# Standard chat-completion message keys.
_ALLOWED_MSG_KEYS = frozenset({"role", "content", "tool_calls", "tool_call_id", "name", "reasoning_content"})
_ANTHROPIC_EXTRA_KEYS = frozenset({"thinking_blocks"})
_ALNUM = string.ascii_letters + string.digits
def _short_tool_id() -> str:
@ -32,10 +31,10 @@ class LiteLLMProvider(LLMProvider):
a unified interface. Provider-specific logic is driven by the registry
(see providers/registry.py) — no if-elif chains needed here.
"""
def __init__(
self,
api_key: str | None = None,
self,
api_key: str | None = None,
api_base: str | None = None,
default_model: str = "anthropic/claude-opus-4-5",
extra_headers: dict[str, str] | None = None,
@ -44,24 +43,24 @@ class LiteLLMProvider(LLMProvider):
super().__init__(api_key, api_base)
self.default_model = default_model
self.extra_headers = extra_headers or {}
# Detect gateway / local deployment.
# provider_name (from config key) is the primary signal;
# api_key / api_base are fallback for auto-detection.
self._gateway = find_gateway(provider_name, api_key, api_base)
# Configure environment variables
if api_key:
self._setup_env(api_key, api_base, default_model)
if api_base:
litellm.api_base = api_base
# Disable LiteLLM logging noise
litellm.suppress_debug_info = True
# Drop unsupported parameters for providers (e.g., gpt-5 rejects some params)
litellm.drop_params = True
def _setup_env(self, api_key: str, api_base: str | None, model: str) -> None:
"""Set environment variables based on detected provider."""
spec = self._gateway or find_by_model(model)
@ -85,7 +84,7 @@ class LiteLLMProvider(LLMProvider):
resolved = env_val.replace("{api_key}", api_key)
resolved = resolved.replace("{api_base}", effective_base)
os.environ.setdefault(env_name, resolved)
def _resolve_model(self, model: str) -> str:
"""Resolve model name by applying provider/gateway prefixes."""
if self._gateway:
@ -96,7 +95,7 @@ class LiteLLMProvider(LLMProvider):
if prefix and not model.startswith(f"{prefix}/"):
model = f"{prefix}/{model}"
return model
# Standard mode: auto-prefix for known providers
spec = find_by_model(model)
if spec and spec.litellm_prefix:
@ -115,7 +114,7 @@ class LiteLLMProvider(LLMProvider):
if prefix.lower().replace("-", "_") != spec_name:
return model
return f"{canonical_prefix}/{remainder}"
def _supports_cache_control(self, model: str) -> bool:
"""Return True when the provider supports cache_control on content blocks."""
if self._gateway is not None:
@ -158,13 +157,22 @@ class LiteLLMProvider(LLMProvider):
if pattern in model_lower:
kwargs.update(overrides)
return
@staticmethod
def _sanitize_messages(messages: list[dict[str, Any]]) -> list[dict[str, Any]]:
def _extra_msg_keys(original_model: str, resolved_model: str) -> frozenset[str]:
"""Return provider-specific extra keys to preserve in request messages."""
spec = find_by_model(original_model) or find_by_model(resolved_model)
if (spec and spec.name == "anthropic") or "claude" in original_model.lower() or resolved_model.startswith("anthropic/"):
return _ANTHROPIC_EXTRA_KEYS
return frozenset()
@staticmethod
def _sanitize_messages(messages: list[dict[str, Any]], extra_keys: frozenset[str] = frozenset()) -> list[dict[str, Any]]:
"""Strip non-standard keys and ensure assistant messages have a content key."""
allowed = _ALLOWED_MSG_KEYS | extra_keys
sanitized = []
for msg in messages:
clean = {k: v for k, v in msg.items() if k in _ALLOWED_MSG_KEYS}
clean = {k: v for k, v in msg.items() if k in allowed}
# Strict providers require "content" even when assistant only has tool_calls
if clean.get("role") == "assistant" and "content" not in clean:
clean["content"] = None
@ -178,22 +186,24 @@ class LiteLLMProvider(LLMProvider):
model: str | None = None,
max_tokens: int = 4096,
temperature: float = 0.7,
reasoning_effort: str | None = None,
) -> LLMResponse:
"""
Send a chat completion request via LiteLLM.
Args:
messages: List of message dicts with 'role' and 'content'.
tools: Optional list of tool definitions in OpenAI format.
model: Model identifier (e.g., 'anthropic/claude-sonnet-4-5').
max_tokens: Maximum tokens in response.
temperature: Sampling temperature.
Returns:
LLMResponse with content and/or tool calls.
"""
original_model = model or self.default_model
model = self._resolve_model(original_model)
extra_msg_keys = self._extra_msg_keys(original_model, model)
if self._supports_cache_control(original_model):
messages, tools = self._apply_cache_control(messages, tools)
@ -201,33 +211,37 @@ class LiteLLMProvider(LLMProvider):
# Clamp max_tokens to at least 1 — negative or zero values cause
# LiteLLM to reject the request with "max_tokens must be at least 1".
max_tokens = max(1, max_tokens)
kwargs: dict[str, Any] = {
"model": model,
"messages": self._sanitize_messages(self._sanitize_empty_content(messages)),
"messages": self._sanitize_messages(self._sanitize_empty_content(messages), extra_keys=extra_msg_keys),
"max_tokens": max_tokens,
"temperature": temperature,
}
# Apply model-specific overrides (e.g. kimi-k2.5 temperature)
self._apply_model_overrides(model, kwargs)
# Pass api_key directly — more reliable than env vars alone
if self.api_key:
kwargs["api_key"] = self.api_key
# Pass api_base for custom endpoints
if self.api_base:
kwargs["api_base"] = self.api_base
# Pass extra headers (e.g. APP-Code for AiHubMix)
if self.extra_headers:
kwargs["extra_headers"] = self.extra_headers
if reasoning_effort:
kwargs["reasoning_effort"] = reasoning_effort
kwargs["drop_params"] = True
if tools:
kwargs["tools"] = tools
kwargs["tool_choice"] = "auto"
try:
response = await acompletion(**kwargs)
return self._parse_response(response)
@ -237,26 +251,43 @@ class LiteLLMProvider(LLMProvider):
content=f"Error calling LLM: {str(e)}",
finish_reason="error",
)
def _parse_response(self, response: Any) -> LLMResponse:
"""Parse LiteLLM response into our standard format."""
choice = response.choices[0]
message = choice.message
content = message.content
finish_reason = choice.finish_reason
# Some providers (e.g. GitHub Copilot) split content and tool_calls
# across multiple choices. Merge them so tool_calls are not lost.
raw_tool_calls = []
for ch in response.choices:
msg = ch.message
if hasattr(msg, "tool_calls") and msg.tool_calls:
raw_tool_calls.extend(msg.tool_calls)
if ch.finish_reason in ("tool_calls", "stop"):
finish_reason = ch.finish_reason
if not content and msg.content:
content = msg.content
if len(response.choices) > 1:
logger.debug("LiteLLM response has {} choices, merged {} tool_calls",
len(response.choices), len(raw_tool_calls))
tool_calls = []
if hasattr(message, "tool_calls") and message.tool_calls:
for tc in message.tool_calls:
# Parse arguments from JSON string if needed
args = tc.function.arguments
if isinstance(args, str):
args = json_repair.loads(args)
tool_calls.append(ToolCallRequest(
id=_short_tool_id(),
name=tc.function.name,
arguments=args,
))
for tc in raw_tool_calls:
# Parse arguments from JSON string if needed
args = tc.function.arguments
if isinstance(args, str):
args = json_repair.loads(args)
tool_calls.append(ToolCallRequest(
id=_short_tool_id(),
name=tc.function.name,
arguments=args,
))
usage = {}
if hasattr(response, "usage") and response.usage:
usage = {
@ -264,17 +295,19 @@ class LiteLLMProvider(LLMProvider):
"completion_tokens": response.usage.completion_tokens,
"total_tokens": response.usage.total_tokens,
}
reasoning_content = getattr(message, "reasoning_content", None) or None
thinking_blocks = getattr(message, "thinking_blocks", None) or None
return LLMResponse(
content=message.content,
content=content,
tool_calls=tool_calls,
finish_reason=choice.finish_reason or "stop",
finish_reason=finish_reason or "stop",
usage=usage,
reasoning_content=reasoning_content,
thinking_blocks=thinking_blocks,
)
def get_default_model(self) -> str:
"""Get the default model."""
return self.default_model

6
nanobot/providers/openai_codex_provider.py
View File

@ -9,8 +9,8 @@ from typing import Any, AsyncGenerator
import httpx
from loguru import logger
from oauth_cli_kit import get_token as get_codex_token
from nanobot.providers.base import LLMProvider, LLMResponse, ToolCallRequest
DEFAULT_CODEX_URL = "https://chatgpt.com/backend-api/codex/responses"
@ -31,6 +31,7 @@ class OpenAICodexProvider(LLMProvider):
model: str | None = None,
max_tokens: int = 4096,
temperature: float = 0.7,
reasoning_effort: str | None = None,
) -> LLMResponse:
model = model or self.default_model
system_prompt, input_items = _convert_messages(messages)
@ -51,6 +52,9 @@ class OpenAICodexProvider(LLMProvider):
"parallel_tool_calls": True,
}
if reasoning_effort:
body["reasoning"] = {"effort": reasoning_effort}
if tools:
body["tools"] = _convert_tools(tools)

110
nanobot/providers/registry.py
View File

@ -26,33 +26,33 @@ class ProviderSpec:
"""
# identity
name: str # config field name, e.g. "dashscope"
keywords: tuple[str, ...] # model-name keywords for matching (lowercase)
env_key: str # LiteLLM env var, e.g. "DASHSCOPE_API_KEY"
display_name: str = "" # shown in `nanobot status`
name: str # config field name, e.g. "dashscope"
keywords: tuple[str, ...] # model-name keywords for matching (lowercase)
env_key: str # LiteLLM env var, e.g. "DASHSCOPE_API_KEY"
display_name: str = "" # shown in `nanobot status`
# model prefixing
litellm_prefix: str = "" # "dashscope" → model becomes "dashscope/{model}"
skip_prefixes: tuple[str, ...] = () # don't prefix if model already starts with these
litellm_prefix: str = "" # "dashscope" → model becomes "dashscope/{model}"
skip_prefixes: tuple[str, ...] = () # don't prefix if model already starts with these
# extra env vars, e.g. (("ZHIPUAI_API_KEY", "{api_key}"),)
env_extras: tuple[tuple[str, str], ...] = ()
# gateway / local detection
is_gateway: bool = False # routes any model (OpenRouter, AiHubMix)
is_local: bool = False # local deployment (vLLM, Ollama)
detect_by_key_prefix: str = "" # match api_key prefix, e.g. "sk-or-"
detect_by_base_keyword: str = "" # match substring in api_base URL
default_api_base: str = "" # fallback base URL
is_gateway: bool = False # routes any model (OpenRouter, AiHubMix)
is_local: bool = False # local deployment (vLLM, Ollama)
detect_by_key_prefix: str = "" # match api_key prefix, e.g. "sk-or-"
detect_by_base_keyword: str = "" # match substring in api_base URL
default_api_base: str = "" # fallback base URL
# gateway behavior
strip_model_prefix: bool = False # strip "provider/" before re-prefixing
strip_model_prefix: bool = False # strip "provider/" before re-prefixing
# per-model param overrides, e.g. (("kimi-k2.5", {"temperature": 1.0}),)
model_overrides: tuple[tuple[str, dict[str, Any]], ...] = ()
# OAuth-based providers (e.g., OpenAI Codex) don't use API keys
is_oauth: bool = False # if True, uses OAuth flow instead of API key
is_oauth: bool = False # if True, uses OAuth flow instead of API key
# Direct providers bypass LiteLLM entirely (e.g., CustomProvider)
is_direct: bool = False
@ -70,7 +70,6 @@ class ProviderSpec:
# ---------------------------------------------------------------------------
PROVIDERS: tuple[ProviderSpec, ...] = (
# === Custom (direct OpenAI-compatible endpoint, bypasses LiteLLM) ======
ProviderSpec(
name="custom",
@ -80,17 +79,15 @@ PROVIDERS: tuple[ProviderSpec, ...] = (
litellm_prefix="",
is_direct=True,
),
# === Gateways (detected by api_key / api_base, not model name) =========
# Gateways can route any model, so they win in fallback.
# OpenRouter: global gateway, keys start with "sk-or-"
ProviderSpec(
name="openrouter",
keywords=("openrouter",),
env_key="OPENROUTER_API_KEY",
display_name="OpenRouter",
litellm_prefix="openrouter", # claude-3 → openrouter/claude-3
litellm_prefix="openrouter", # claude-3 → openrouter/claude-3
skip_prefixes=(),
env_extras=(),
is_gateway=True,
@ -102,16 +99,15 @@ PROVIDERS: tuple[ProviderSpec, ...] = (
model_overrides=(),
supports_prompt_caching=True,
),
# AiHubMix: global gateway, OpenAI-compatible interface.
# strip_model_prefix=True: it doesn't understand "anthropic/claude-3",
# so we strip to bare "claude-3" then re-prefix as "openai/claude-3".
ProviderSpec(
name="aihubmix",
keywords=("aihubmix",),
env_key="OPENAI_API_KEY", # OpenAI-compatible
env_key="OPENAI_API_KEY", # OpenAI-compatible
display_name="AiHubMix",
litellm_prefix="openai", # → openai/{model}
litellm_prefix="openai", # → openai/{model}
skip_prefixes=(),
env_extras=(),
is_gateway=True,
@ -119,10 +115,9 @@ PROVIDERS: tuple[ProviderSpec, ...] = (
detect_by_key_prefix="",
detect_by_base_keyword="aihubmix",
default_api_base="https://aihubmix.com/v1",
strip_model_prefix=True, # anthropic/claude-3 → claude-3 → openai/claude-3
strip_model_prefix=True, # anthropic/claude-3 → claude-3 → openai/claude-3
model_overrides=(),
),
# SiliconFlow (硅基流动): OpenAI-compatible gateway, model names keep org prefix
ProviderSpec(
name="siliconflow",
@ -140,7 +135,6 @@ PROVIDERS: tuple[ProviderSpec, ...] = (
strip_model_prefix=False,
model_overrides=(),
),
# VolcEngine (火山引擎): OpenAI-compatible gateway
ProviderSpec(
name="volcengine",
@ -158,9 +152,7 @@ PROVIDERS: tuple[ProviderSpec, ...] = (
strip_model_prefix=False,
model_overrides=(),
),
# === Standard providers (matched by model-name keywords) ===============
# Anthropic: LiteLLM recognizes "claude-*" natively, no prefix needed.
ProviderSpec(
name="anthropic",
@ -179,7 +171,6 @@ PROVIDERS: tuple[ProviderSpec, ...] = (
model_overrides=(),
supports_prompt_caching=True,
),
# OpenAI: LiteLLM recognizes "gpt-*" natively, no prefix needed.
ProviderSpec(
name="openai",
@ -197,14 +188,13 @@ PROVIDERS: tuple[ProviderSpec, ...] = (
strip_model_prefix=False,
model_overrides=(),
),
# OpenAI Codex: uses OAuth, not API key.
ProviderSpec(
name="openai_codex",
keywords=("openai-codex",),
env_key="", # OAuth-based, no API key
env_key="", # OAuth-based, no API key
display_name="OpenAI Codex",
litellm_prefix="", # Not routed through LiteLLM
litellm_prefix="", # Not routed through LiteLLM
skip_prefixes=(),
env_extras=(),
is_gateway=False,
@ -214,16 +204,15 @@ PROVIDERS: tuple[ProviderSpec, ...] = (
default_api_base="https://chatgpt.com/backend-api",
strip_model_prefix=False,
model_overrides=(),
is_oauth=True, # OAuth-based authentication
is_oauth=True, # OAuth-based authentication
),
# Github Copilot: uses OAuth, not API key.
ProviderSpec(
name="github_copilot",
keywords=("github_copilot", "copilot"),
env_key="", # OAuth-based, no API key
env_key="", # OAuth-based, no API key
display_name="Github Copilot",
litellm_prefix="github_copilot", # github_copilot/model → github_copilot/model
litellm_prefix="github_copilot", # github_copilot/model → github_copilot/model
skip_prefixes=("github_copilot/",),
env_extras=(),
is_gateway=False,
@ -233,17 +222,16 @@ PROVIDERS: tuple[ProviderSpec, ...] = (
default_api_base="",
strip_model_prefix=False,
model_overrides=(),
is_oauth=True, # OAuth-based authentication
is_oauth=True, # OAuth-based authentication
),
# DeepSeek: needs "deepseek/" prefix for LiteLLM routing.
ProviderSpec(
name="deepseek",
keywords=("deepseek",),
env_key="DEEPSEEK_API_KEY",
display_name="DeepSeek",
litellm_prefix="deepseek", # deepseek-chat → deepseek/deepseek-chat
skip_prefixes=("deepseek/",), # avoid double-prefix
litellm_prefix="deepseek", # deepseek-chat → deepseek/deepseek-chat
skip_prefixes=("deepseek/",), # avoid double-prefix
env_extras=(),
is_gateway=False,
is_local=False,
@ -253,15 +241,14 @@ PROVIDERS: tuple[ProviderSpec, ...] = (
strip_model_prefix=False,
model_overrides=(),
),
# Gemini: needs "gemini/" prefix for LiteLLM.
ProviderSpec(
name="gemini",
keywords=("gemini",),
env_key="GEMINI_API_KEY",
display_name="Gemini",
litellm_prefix="gemini", # gemini-pro → gemini/gemini-pro
skip_prefixes=("gemini/",), # avoid double-prefix
litellm_prefix="gemini", # gemini-pro → gemini/gemini-pro
skip_prefixes=("gemini/",), # avoid double-prefix
env_extras=(),
is_gateway=False,
is_local=False,
@ -271,7 +258,6 @@ PROVIDERS: tuple[ProviderSpec, ...] = (
strip_model_prefix=False,
model_overrides=(),
),
# Zhipu: LiteLLM uses "zai/" prefix.
# Also mirrors key to ZHIPUAI_API_KEY (some LiteLLM paths check that).
# skip_prefixes: don't add "zai/" when already routed via gateway.
@ -280,11 +266,9 @@ PROVIDERS: tuple[ProviderSpec, ...] = (
keywords=("zhipu", "glm", "zai"),
env_key="ZAI_API_KEY",
display_name="Zhipu AI",
litellm_prefix="zai", # glm-4 → zai/glm-4
litellm_prefix="zai", # glm-4 → zai/glm-4
skip_prefixes=("zhipu/", "zai/", "openrouter/", "hosted_vllm/"),
env_extras=(
("ZHIPUAI_API_KEY", "{api_key}"),
),
env_extras=(("ZHIPUAI_API_KEY", "{api_key}"),),
is_gateway=False,
is_local=False,
detect_by_key_prefix="",
@ -293,14 +277,13 @@ PROVIDERS: tuple[ProviderSpec, ...] = (
strip_model_prefix=False,
model_overrides=(),
),
# DashScope: Qwen models, needs "dashscope/" prefix.
ProviderSpec(
name="dashscope",
keywords=("qwen", "dashscope"),
env_key="DASHSCOPE_API_KEY",
display_name="DashScope",
litellm_prefix="dashscope", # qwen-max → dashscope/qwen-max
litellm_prefix="dashscope", # qwen-max → dashscope/qwen-max
skip_prefixes=("dashscope/", "openrouter/"),
env_extras=(),
is_gateway=False,
@ -311,7 +294,6 @@ PROVIDERS: tuple[ProviderSpec, ...] = (
strip_model_prefix=False,
model_overrides=(),
),
# Moonshot: Kimi models, needs "moonshot/" prefix.
# LiteLLM requires MOONSHOT_API_BASE env var to find the endpoint.
# Kimi K2.5 API enforces temperature >= 1.0.
@ -320,22 +302,17 @@ PROVIDERS: tuple[ProviderSpec, ...] = (
keywords=("moonshot", "kimi"),
env_key="MOONSHOT_API_KEY",
display_name="Moonshot",
litellm_prefix="moonshot", # kimi-k2.5 → moonshot/kimi-k2.5
litellm_prefix="moonshot", # kimi-k2.5 → moonshot/kimi-k2.5
skip_prefixes=("moonshot/", "openrouter/"),
env_extras=(
("MOONSHOT_API_BASE", "{api_base}"),
),
env_extras=(("MOONSHOT_API_BASE", "{api_base}"),),
is_gateway=False,
is_local=False,
detect_by_key_prefix="",
detect_by_base_keyword="",
default_api_base="https://api.moonshot.ai/v1", # intl; use api.moonshot.cn for China
default_api_base="https://api.moonshot.ai/v1", # intl; use api.moonshot.cn for China
strip_model_prefix=False,
model_overrides=(
("kimi-k2.5", {"temperature": 1.0}),
),
model_overrides=(("kimi-k2.5", {"temperature": 1.0}),),
),
# MiniMax: needs "minimax/" prefix for LiteLLM routing.
# Uses OpenAI-compatible API at api.minimax.io/v1.
ProviderSpec(
@ -343,7 +320,7 @@ PROVIDERS: tuple[ProviderSpec, ...] = (
keywords=("minimax",),
env_key="MINIMAX_API_KEY",
display_name="MiniMax",
litellm_prefix="minimax", # MiniMax-M2.1 → minimax/MiniMax-M2.1
litellm_prefix="minimax", # MiniMax-M2.1 → minimax/MiniMax-M2.1
skip_prefixes=("minimax/", "openrouter/"),
env_extras=(),
is_gateway=False,
@ -354,9 +331,7 @@ PROVIDERS: tuple[ProviderSpec, ...] = (
strip_model_prefix=False,
model_overrides=(),
),
# === Local deployment (matched by config key, NOT by api_base) =========
# vLLM / any OpenAI-compatible local server.
# Detected when config key is "vllm" (provider_name="vllm").
ProviderSpec(
@ -364,20 +339,18 @@ PROVIDERS: tuple[ProviderSpec, ...] = (
keywords=("vllm",),
env_key="HOSTED_VLLM_API_KEY",
display_name="vLLM/Local",
litellm_prefix="hosted_vllm", # Llama-3-8B → hosted_vllm/Llama-3-8B
litellm_prefix="hosted_vllm", # Llama-3-8B → hosted_vllm/Llama-3-8B
skip_prefixes=(),
env_extras=(),
is_gateway=False,
is_local=True,
detect_by_key_prefix="",
detect_by_base_keyword="",
default_api_base="", # user must provide in config
default_api_base="", # user must provide in config
strip_model_prefix=False,
model_overrides=(),
),
# === Auxiliary (not a primary LLM provider) ============================
# Groq: mainly used for Whisper voice transcription, also usable for LLM.
# Needs "groq/" prefix for LiteLLM routing. Placed last — it rarely wins fallback.
ProviderSpec(
@ -385,8 +358,8 @@ PROVIDERS: tuple[ProviderSpec, ...] = (
keywords=("groq",),
env_key="GROQ_API_KEY",
display_name="Groq",
litellm_prefix="groq", # llama3-8b-8192 → groq/llama3-8b-8192
skip_prefixes=("groq/",), # avoid double-prefix
litellm_prefix="groq", # llama3-8b-8192 → groq/llama3-8b-8192
skip_prefixes=("groq/",), # avoid double-prefix
env_extras=(),
is_gateway=False,
is_local=False,
@ -403,6 +376,7 @@ PROVIDERS: tuple[ProviderSpec, ...] = (
# Lookup helpers
# ---------------------------------------------------------------------------
def find_by_model(model: str) -> ProviderSpec | None:
"""Match a standard provider by model-name keyword (case-insensitive).
Skips gateways/local — those are matched by api_key/api_base instead."""
@ -418,7 +392,9 @@ def find_by_model(model: str) -> ProviderSpec | None:
return spec
for spec in std_specs:
if any(kw in model_lower or kw.replace("-", "_") in model_normalized for kw in spec.keywords):
if any(
kw in model_lower or kw.replace("-", "_") in model_normalized for kw in spec.keywords
):
return spec
return None

21
nanobot/providers/transcription.py
View File

@ -2,7 +2,6 @@
import os
from pathlib import Path
from typing import Any
import httpx
from loguru import logger
@ -11,33 +10,33 @@ from loguru import logger
class GroqTranscriptionProvider:
"""
Voice transcription provider using Groq's Whisper API.
Groq offers extremely fast transcription with a generous free tier.
"""
def __init__(self, api_key: str | None = None):
self.api_key = api_key or os.environ.get("GROQ_API_KEY")
self.api_url = "https://api.groq.com/openai/v1/audio/transcriptions"
async def transcribe(self, file_path: str | Path) -> str:
"""
Transcribe an audio file using Groq.
Args:
file_path: Path to the audio file.
Returns:
Transcribed text.
"""
if not self.api_key:
logger.warning("Groq API key not configured for transcription")
return ""
path = Path(file_path)
if not path.exists():
logger.error("Audio file not found: {}", file_path)
return ""
try:
async with httpx.AsyncClient() as client:
with open(path, "rb") as f:
@ -48,18 +47,18 @@ class GroqTranscriptionProvider:
headers = {
"Authorization": f"Bearer {self.api_key}",
}
response = await client.post(
self.api_url,
headers=headers,
files=files,
timeout=60.0
)
response.raise_for_status()
data = response.json()
return data.get("text", "")
except Exception as e:
logger.error("Groq transcription error: {}", e)
return ""

2
nanobot/session/__init__.py
View File

@ -1,5 +1,5 @@
"""Session management module."""
from nanobot.session.manager import SessionManager, Session
from nanobot.session.manager import Session, SessionManager
__all__ = ["SessionManager", "Session"]

34
nanobot/session/manager.py
View File

@ -2,9 +2,9 @@
import json
import shutil
from pathlib import Path
from dataclasses import dataclass, field
from datetime import datetime
from pathlib import Path
from typing import Any
from loguru import logger
@ -30,7 +30,7 @@ class Session:
updated_at: datetime = field(default_factory=datetime.now)
metadata: dict[str, Any] = field(default_factory=dict)
last_consolidated: int = 0 # Number of messages already consolidated to files
def add_message(self, role: str, content: str, **kwargs: Any) -> None:
"""Add a message to the session."""
msg = {
@ -41,7 +41,7 @@ class Session:
}
self.messages.append(msg)
self.updated_at = datetime.now()
def get_history(self, max_messages: int = 500) -> list[dict[str, Any]]:
"""Return unconsolidated messages for LLM input, aligned to a user turn."""
unconsolidated = self.messages[self.last_consolidated:]
@ -61,7 +61,7 @@ class Session:
entry[k] = m[k]
out.append(entry)
return out
def clear(self) -> None:
"""Clear all messages and reset session to initial state."""
self.messages = []
@ -81,7 +81,7 @@ class SessionManager:
self.sessions_dir = ensure_dir(self.workspace / "sessions")
self.legacy_sessions_dir = Path.home() / ".nanobot" / "sessions"
self._cache: dict[str, Session] = {}
def _get_session_path(self, key: str) -> Path:
"""Get the file path for a session."""
safe_key = safe_filename(key.replace(":", "_"))
@ -91,27 +91,27 @@ class SessionManager:
"""Legacy global session path (~/.nanobot/sessions/)."""
safe_key = safe_filename(key.replace(":", "_"))
return self.legacy_sessions_dir / f"{safe_key}.jsonl"
def get_or_create(self, key: str) -> Session:
"""
Get an existing session or create a new one.
Args:
key: Session key (usually channel:chat_id).
Returns:
The session.
"""
if key in self._cache:
return self._cache[key]
session = self._load(key)
if session is None:
session = Session(key=key)
self._cache[key] = session
return session
def _load(self, key: str) -> Session | None:
"""Load a session from disk."""
path = self._get_session_path(key)
@ -158,7 +158,7 @@ class SessionManager:
except Exception as e:
logger.warning("Failed to load session {}: {}", key, e)
return None
def save(self, session: Session) -> None:
"""Save a session to disk."""
path = self._get_session_path(session.key)
@ -177,20 +177,20 @@ class SessionManager:
f.write(json.dumps(msg, ensure_ascii=False) + "\n")
self._cache[session.key] = session
def invalidate(self, key: str) -> None:
"""Remove a session from the in-memory cache."""
self._cache.pop(key, None)
def list_sessions(self) -> list[dict[str, Any]]:
"""
List all sessions.
Returns:
List of session info dicts.
"""
sessions = []
for path in self.sessions_dir.glob("*.jsonl"):
try:
# Read just the metadata line
@ -208,5 +208,5 @@ class SessionManager:
})
except Exception:
continue
return sorted(sessions, key=lambda x: x.get("updated_at", ""), reverse=True)

8
nanobot/templates/AGENTS.md
View File

@ -4,17 +4,15 @@ You are a helpful AI assistant. Be concise, accurate, and friendly.
## Scheduled Reminders
When user asks for a reminder at a specific time, use `exec` to run:
```
nanobot cron add --name "reminder" --message "Your message" --at "YYYY-MM-DDTHH:MM:SS" --deliver --to "USER_ID" --channel "CHANNEL"
```
Before scheduling reminders, check available skills and follow skill guidance first.
Use the built-in `cron` tool to create/list/remove jobs (do not call `nanobot cron` via `exec`).
Get USER_ID and CHANNEL from the current session (e.g., `8281248569` and `telegram` from `telegram:8281248569`).
**Do NOT just write reminders to MEMORY.md** — that won't trigger actual notifications.
## Heartbeat Tasks
`HEARTBEAT.md` is checked every 30 minutes. Use file tools to manage periodic tasks:
`HEARTBEAT.md` is checked on the configured heartbeat interval. Use file tools to manage periodic tasks:
- **Add**: `edit_file` to append new tasks
- **Remove**: `edit_file` to delete completed tasks

2
nanobot/utils/__init__.py
View File

@ -1,5 +1,5 @@
"""Utility functions for nanobot."""
from nanobot.utils.helpers import ensure_dir, get_workspace_path, get_data_path
from nanobot.utils.helpers import ensure_dir, get_data_path, get_workspace_path
__all__ = ["ensure_dir", "get_workspace_path", "get_data_path"]

47
nanobot/utils/helpers.py
View File

@ -1,8 +1,21 @@
"""Utility functions for nanobot."""
import re
from pathlib import Path
from datetime import datetime
from pathlib import Path
def detect_image_mime(data: bytes) -> str | None:
"""Detect image MIME type from magic bytes, ignoring file extension."""
if data[:8] == b"\x89PNG\r\n\x1a\n":
return "image/png"
if data[:3] == b"\xff\xd8\xff":
return "image/jpeg"
if data[:6] in (b"GIF87a", b"GIF89a"):
return "image/gif"
if data[:4] == b"RIFF" and data[8:12] == b"WEBP":
return "image/webp"
return None
def ensure_dir(path: Path) -> Path:
@ -34,6 +47,38 @@ def safe_filename(name: str) -> str:
return _UNSAFE_CHARS.sub("_", name).strip()
def split_message(content: str, max_len: int = 2000) -> list[str]:
"""
Split content into chunks within max_len, preferring line breaks.
Args:
content: The text content to split.
max_len: Maximum length per chunk (default 2000 for Discord compatibility).
Returns:
List of message chunks, each within max_len.
"""
if not content:
return []
if len(content) <= max_len:
return [content]
chunks: list[str] = []
while content:
if len(content) <= max_len:
chunks.append(content)
break
cut = content[:max_len]
# Try to break at newline first, then space, then hard break
pos = cut.rfind('\n')
if pos <= 0:
pos = cut.rfind(' ')
if pos <= 0:
pos = max_len
chunks.append(content[:pos])
content = content[pos:].lstrip()
return chunks
def sync_workspace_templates(workspace: Path, silent: bool = False) -> list[str]:
"""Sync bundled templates to workspace. Only creates missing files."""
from importlib.resources import files as pkg_files

9
pyproject.toml
View File

@ -1,6 +1,6 @@
[project]
name = "nanobot-ai"
version = "0.1.4.post2"
version = "0.1.4.post3"
description = "A lightweight personal AI assistant framework"
requires-python = ">=3.11"
license = {text = "MIT"}
@ -30,7 +30,7 @@ dependencies = [
"rich>=14.0.0,<15.0.0",
"croniter>=6.0.0,<7.0.0",
"dingtalk-stream>=0.24.0,<1.0.0",
"python-telegram-bot[socks]>=22.0,<23.0",
"python-telegram-bot[socks]>=22.6,<23.0",
"lark-oapi>=1.5.0,<2.0.0",
"socksio>=1.0.0,<2.0.0",
"python-socketio>=5.16.0,<6.0.0",
@ -42,6 +42,8 @@ dependencies = [
"prompt-toolkit>=3.0.50,<4.0.0",
"mcp>=1.26.0,<2.0.0",
"json-repair>=0.57.0,<1.0.0",
"chardet>=3.0.2,<6.0.0",
"openai>=2.8.0",
]
[project.optional-dependencies]
@ -58,6 +60,9 @@ dev = [
"pytest-asyncio>=1.3.0,<2.0.0",
"aiohttp>=3.9.0,<4.0.0",
"ruff>=0.1.0",
"matrix-nio[e2e]>=0.25.2",
"mistune>=3.0.0,<4.0.0",
"nh3>=0.2.17,<1.0.0",
]
[project.scripts]

13
tests/test_consolidate_offset.py
View File

@ -786,10 +786,8 @@ class TestConsolidationDeduplicationGuard:
)
@pytest.mark.asyncio
async def test_new_cleans_up_consolidation_lock_for_invalidated_session(
self, tmp_path: Path
) -> None:
"""/new should remove lock entry for fully invalidated session key."""
async def test_new_clears_session_and_responds(self, tmp_path: Path) -> None:
"""/new clears session and returns confirmation."""
from nanobot.agent.loop import AgentLoop
from nanobot.bus.events import InboundMessage
from nanobot.bus.queue import MessageBus
@ -801,7 +799,6 @@ class TestConsolidationDeduplicationGuard:
loop = AgentLoop(
bus=bus, provider=provider, workspace=tmp_path, model="test-model", memory_window=10
)
loop.provider.chat = AsyncMock(return_value=LLMResponse(content="ok", tool_calls=[]))
loop.tools.get_definitions = MagicMock(return_value=[])
@ -811,10 +808,6 @@ class TestConsolidationDeduplicationGuard:
session.add_message("assistant", f"resp{i}")
loop.sessions.save(session)
# Ensure lock exists before /new.
loop._consolidation_locks.setdefault(session.key, asyncio.Lock())
assert session.key in loop._consolidation_locks
async def _ok_consolidate(sess, archive_all: bool = False, **kw) -> bool:
return True
@ -825,4 +818,4 @@ class TestConsolidationDeduplicationGuard:
assert response is not None
assert "new session started" in response.content.lower()
assert session.key not in loop._consolidation_locks
assert loop.sessions.get_or_create("cli:test").messages == []

19
tests/test_context_prompt_cache.py
View File

@ -40,7 +40,7 @@ def test_system_prompt_stays_stable_when_clock_changes(tmp_path, monkeypatch) ->
def test_runtime_context_is_separate_untrusted_user_message(tmp_path) -> None:
"""Runtime metadata should be a separate user message before the actual user message."""
"""Runtime metadata should be merged with the user message."""
workspace = _make_workspace(tmp_path)
builder = ContextBuilder(workspace)
@ -54,13 +54,12 @@ def test_runtime_context_is_separate_untrusted_user_message(tmp_path) -> None:
assert messages[0]["role"] == "system"
assert "## Current Session" not in messages[0]["content"]
assert messages[-2]["role"] == "user"
runtime_content = messages[-2]["content"]
assert isinstance(runtime_content, str)
assert ContextBuilder._RUNTIME_CONTEXT_TAG in runtime_content
assert "Current Time:" in runtime_content
assert "Channel: cli" in runtime_content
assert "Chat ID: direct" in runtime_content
# Runtime context is now merged with user message into a single message
assert messages[-1]["role"] == "user"
assert messages[-1]["content"] == "Return exactly: OK"
user_content = messages[-1]["content"]
assert isinstance(user_content, str)
assert ContextBuilder._RUNTIME_CONTEXT_TAG in user_content
assert "Current Time:" in user_content
assert "Channel: cli" in user_content
assert "Chat ID: direct" in user_content
assert "Return exactly: OK" in user_content

29
tests/test_cron_commands.py
View File

@ -1,29 +0,0 @@
from typer.testing import CliRunner
from nanobot.cli.commands import app
runner = CliRunner()
def test_cron_add_rejects_invalid_timezone(monkeypatch, tmp_path) -> None:
monkeypatch.setattr("nanobot.config.loader.get_data_dir", lambda: tmp_path)
result = runner.invoke(
app,
[
"cron",
"add",
"--name",
"demo",
"--message",
"hello",
"--cron",
"0 9 * * *",
"--tz",
"America/Vancovuer",
],
)
assert result.exit_code == 1
assert "Error: unknown timezone 'America/Vancovuer'" in result.stdout
assert not (tmp_path / "cron" / "jobs.json").exists()

31
tests/test_cron_service.py
View File

@ -1,3 +1,5 @@
import asyncio
import pytest
from nanobot.cron.service import CronService
@ -28,3 +30,32 @@ def test_add_job_accepts_valid_timezone(tmp_path) -> None:
assert job.schedule.tz == "America/Vancouver"
assert job.state.next_run_at_ms is not None
@pytest.mark.asyncio
async def test_running_service_honors_external_disable(tmp_path) -> None:
store_path = tmp_path / "cron" / "jobs.json"
called: list[str] = []
async def on_job(job) -> None:
called.append(job.id)
service = CronService(store_path, on_job=on_job)
job = service.add_job(
name="external-disable",
schedule=CronSchedule(kind="every", every_ms=200),
message="hello",
)
await service.start()
try:
# Wait slightly to ensure file mtime is definitively different
await asyncio.sleep(0.05)
external = CronService(store_path)
updated = external.enable_job(job.id, enabled=False)
assert updated is not None
assert updated.enabled is False
await asyncio.sleep(0.35)
assert called == []
finally:
service.stop()

40
tests/test_feishu_post_content.py Normal file
View File

@ -0,0 +1,40 @@
from nanobot.channels.feishu import _extract_post_content
def test_extract_post_content_supports_post_wrapper_shape() -> None:
payload = {
"post": {
"zh_cn": {
"title": "日报",
"content": [
[
{"tag": "text", "text": "完成"},
{"tag": "img", "image_key": "img_1"},
]
],
}
}
}
text, image_keys = _extract_post_content(payload)
assert text == "日报 完成"
assert image_keys == ["img_1"]
def test_extract_post_content_keeps_direct_shape_behavior() -> None:
payload = {
"title": "Daily",
"content": [
[
{"tag": "text", "text": "report"},
{"tag": "img", "image_key": "img_a"},
{"tag": "img", "image_key": "img_b"},
]
],
}
text, image_keys = _extract_post_content(payload)
assert text == "Daily report"
assert image_keys == ["img_a", "img_b"]

104
tests/test_feishu_table_split.py Normal file
View File

@ -0,0 +1,104 @@
"""Tests for FeishuChannel._split_elements_by_table_limit.
Feishu cards reject messages that contain more than one table element
(API error 11310: card table number over limit). The helper splits a flat
list of card elements into groups so that each group contains at most one
table, allowing nanobot to send multiple cards instead of failing.
"""
from nanobot.channels.feishu import FeishuChannel
def _md(text: str) -> dict:
return {"tag": "markdown", "content": text}
def _table() -> dict:
return {
"tag": "table",
"columns": [{"tag": "column", "name": "c0", "display_name": "A", "width": "auto"}],
"rows": [{"c0": "v"}],
"page_size": 2,
}
split = FeishuChannel._split_elements_by_table_limit
def test_empty_list_returns_single_empty_group() -> None:
assert split([]) == [[]]
def test_no_tables_returns_single_group() -> None:
els = [_md("hello"), _md("world")]
result = split(els)
assert result == [els]
def test_single_table_stays_in_one_group() -> None:
els = [_md("intro"), _table(), _md("outro")]
result = split(els)
assert len(result) == 1
assert result[0] == els
def test_two_tables_split_into_two_groups() -> None:
# Use different row values so the two tables are not equal
t1 = {
"tag": "table",
"columns": [{"tag": "column", "name": "c0", "display_name": "A", "width": "auto"}],
"rows": [{"c0": "table-one"}],
"page_size": 2,
}
t2 = {
"tag": "table",
"columns": [{"tag": "column", "name": "c0", "display_name": "B", "width": "auto"}],
"rows": [{"c0": "table-two"}],
"page_size": 2,
}
els = [_md("before"), t1, _md("between"), t2, _md("after")]
result = split(els)
assert len(result) == 2
# First group: text before table-1 + table-1
assert t1 in result[0]
assert t2 not in result[0]
# Second group: text between tables + table-2 + text after
assert t2 in result[1]
assert t1 not in result[1]
def test_three_tables_split_into_three_groups() -> None:
tables = [
{"tag": "table", "columns": [], "rows": [{"c0": f"t{i}"}], "page_size": 1}
for i in range(3)
]
els = tables[:]
result = split(els)
assert len(result) == 3
for i, group in enumerate(result):
assert tables[i] in group
def test_leading_markdown_stays_with_first_table() -> None:
intro = _md("intro")
t = _table()
result = split([intro, t])
assert len(result) == 1
assert result[0] == [intro, t]
def test_trailing_markdown_after_second_table() -> None:
t1, t2 = _table(), _table()
tail = _md("end")
result = split([t1, t2, tail])
assert len(result) == 2
assert result[1] == [t2, tail]
def test_non_table_elements_before_first_table_kept_in_first_group() -> None:
head = _md("head")
t1, t2 = _table(), _table()
result = split([head, t1, t2])
# head + t1 in group 0; t2 in group 1
assert result[0] == [head, t1]
assert result[1] == [t2]

41
tests/test_loop_save_turn.py Normal file
View File

@ -0,0 +1,41 @@
from nanobot.agent.context import ContextBuilder
from nanobot.agent.loop import AgentLoop
from nanobot.session.manager import Session
def _mk_loop() -> AgentLoop:
loop = AgentLoop.__new__(AgentLoop)
loop._TOOL_RESULT_MAX_CHARS = 500
return loop
def test_save_turn_skips_multimodal_user_when_only_runtime_context() -> None:
loop = _mk_loop()
session = Session(key="test:runtime-only")
runtime = ContextBuilder._RUNTIME_CONTEXT_TAG + "\nCurrent Time: now (UTC)"
loop._save_turn(
session,
[{"role": "user", "content": [{"type": "text", "text": runtime}]}],
skip=0,
)
assert session.messages == []
def test_save_turn_keeps_image_placeholder_after_runtime_strip() -> None:
loop = _mk_loop()
session = Session(key="test:image")
runtime = ContextBuilder._RUNTIME_CONTEXT_TAG + "\nCurrent Time: now (UTC)"
loop._save_turn(
session,
[{
"role": "user",
"content": [
{"type": "text", "text": runtime},
{"type": "image_url", "image_url": {"url": "data:image/png;base64,abc"}},
],
}],
skip=0,
)
assert session.messages[0]["content"] == [{"type": "text", "text": "[image]"}]

20
tests/test_matrix_channel.py
View File

@ -159,6 +159,7 @@ class _FakeAsyncClient:
def _make_config(**kwargs) -> MatrixConfig:
kwargs.setdefault("allow_from", ["*"])
return MatrixConfig(
enabled=True,
homeserver="https://matrix.org",
@ -274,7 +275,7 @@ async def test_stop_stops_sync_forever_before_close(monkeypatch) -> None:
@pytest.mark.asyncio
async def test_room_invite_joins_when_allow_list_is_empty() -> None:
async def test_room_invite_ignores_when_allow_list_is_empty() -> None:
channel = MatrixChannel(_make_config(allow_from=[]), MessageBus())
client = _FakeAsyncClient("", "", "", None)
channel.client = client
@ -284,9 +285,22 @@ async def test_room_invite_joins_when_allow_list_is_empty() -> None:
await channel._on_room_invite(room, event)
assert client.join_calls == ["!room:matrix.org"]
assert client.join_calls == []
@pytest.mark.asyncio
async def test_room_invite_joins_when_sender_allowed() -> None:
channel = MatrixChannel(_make_config(allow_from=["@alice:matrix.org"]), MessageBus())
client = _FakeAsyncClient("", "", "", None)
channel.client = client
room = SimpleNamespace(room_id="!room:matrix.org")
event = SimpleNamespace(sender="@alice:matrix.org")
await channel._on_room_invite(room, event)
assert client.join_calls == ["!room:matrix.org"]
@pytest.mark.asyncio
async def test_room_invite_respects_allow_list_when_configured() -> None:
channel = MatrixChannel(_make_config(allow_from=["@bob:matrix.org"]), MessageBus())
@ -1163,6 +1177,8 @@ async def test_send_progress_keeps_typing_keepalive_running() -> None:
assert "!room:matrix.org" in channel._typing_tasks
assert client.typing_calls[-1] == ("!room:matrix.org", True, TYPING_NOTICE_TIMEOUT_MS)
await channel.stop()
@pytest.mark.asyncio
async def test_send_clears_typing_when_send_fails() -> None:

75
tests/test_memory_consolidation_types.py
View File

@ -145,3 +145,78 @@ class TestMemoryConsolidationTypeHandling:
assert result is True
provider.chat.assert_not_called()
@pytest.mark.asyncio
async def test_list_arguments_extracts_first_dict(self, tmp_path: Path) -> None:
"""Some providers return arguments as a list - extract first element if it's a dict."""
store = MemoryStore(tmp_path)
provider = AsyncMock()
# Simulate arguments being a list containing a dict
response = LLMResponse(
content=None,
tool_calls=[
ToolCallRequest(
id="call_1",
name="save_memory",
arguments=[{
"history_entry": "[2026-01-01] User discussed testing.",
"memory_update": "# Memory\nUser likes testing.",
}],
)
],
)
provider.chat = AsyncMock(return_value=response)
session = _make_session(message_count=60)
result = await store.consolidate(session, provider, "test-model", memory_window=50)
assert result is True
assert "User discussed testing." in store.history_file.read_text()
assert "User likes testing." in store.memory_file.read_text()
@pytest.mark.asyncio
async def test_list_arguments_empty_list_returns_false(self, tmp_path: Path) -> None:
"""Empty list arguments should return False."""
store = MemoryStore(tmp_path)
provider = AsyncMock()
response = LLMResponse(
content=None,
tool_calls=[
ToolCallRequest(
id="call_1",
name="save_memory",
arguments=[],
)
],
)
provider.chat = AsyncMock(return_value=response)
session = _make_session(message_count=60)
result = await store.consolidate(session, provider, "test-model", memory_window=50)
assert result is False
@pytest.mark.asyncio
async def test_list_arguments_non_dict_content_returns_false(self, tmp_path: Path) -> None:
"""List with non-dict content should return False."""
store = MemoryStore(tmp_path)
provider = AsyncMock()
response = LLMResponse(
content=None,
tool_calls=[
ToolCallRequest(
id="call_1",
name="save_memory",
arguments=["string", "content"],
)
],
)
provider.chat = AsyncMock(return_value=response)
session = _make_session(message_count=60)
result = await store.consolidate(session, provider, "test-model", memory_window=50)
assert result is False