feat(wecom): add WeCom channel with SDK pinned to GitHub tag v0.1.2

README.md

@@ -208,7 +208,7 @@ Connect nanobot to your favorite chat platform.
 | **Slack** | Bot token + App-Level token |
 | **Email** | IMAP/SMTP credentials |
 | **QQ** | App ID + App Secret |
-| **Wecom** | Bot ID + App Secret |
+| **Wecom** | Bot ID + Bot Secret |
 
 <details>
 <summary><b>Telegram</b> (Recommended)</summary>
@@ -683,12 +683,17 @@ nanobot gateway
 
 Uses **WebSocket** long connection — no public IP required.
 
-**1. Create a wecom bot**
+**1. Install the optional dependency**
 
-In the client's workspace, click on "Intelligent Robot" to create a robot and choose API mode for creation.
+```bash
-Select to create in "long connection" mode, and obtain Bot ID and Secret.
+pip install nanobot-ai[wecom]
+```
 
-**2. Configure**
+**2. Create a WeCom AI Bot**
+
+Go to the WeCom admin console → Intelligent Robot → Create Robot → select **API mode** with **long connection**. Copy the Bot ID and Secret.
+
+**3. Configure**
 
 ```json
 {
@@ -696,23 +701,21 @@ Select to create in "long connection" mode, and obtain Bot ID and Secret.
     "wecom": {
       "enabled": true,
       "botId": "your_bot_id",
-      "secret": "your_secret",
+      "secret": "your_bot_secret",
-      "allowFrom": [
+      "allowFrom": ["your_id"]
-        "your_id"
-      ]
     }
   }
 }
 ```
 
-**3. Run**
+**4. Run**
 
 ```bash
 nanobot gateway
 ```
 
 > [!TIP]
-> wecom uses WebSocket to receive messages — no webhook or public IP needed!
+> WeCom uses WebSocket to receive messages — no webhook or public IP needed!
 
 </details>
 

nanobot/channels/manager.py

@@ -156,7 +156,6 @@ class ChannelManager:
                 self.channels["wecom"] = WecomChannel(
                     self.config.channels.wecom,
                     self.bus,
-                    groq_api_key=self.config.providers.groq.api_key,
                 )
                 logger.info("WeCom channel enabled")
             except ImportError as e:

nanobot/channels/wecom.py

@@ -2,6 +2,7 @@
 
 import asyncio
 import importlib.util
+import os
 from collections import OrderedDict
 from typing import Any
 
@@ -36,10 +37,9 @@ class WecomChannel(BaseChannel):
 
     name = "wecom"
 
-    def __init__(self, config: WecomConfig, bus: MessageBus, groq_api_key: str = ""):
+    def __init__(self, config: WecomConfig, bus: MessageBus):
         super().__init__(config, bus)
         self.config: WecomConfig = config
-        self.groq_api_key = groq_api_key
         self._client: Any = None
         self._processed_message_ids: OrderedDict[str, None] = OrderedDict()
         self._loop: asyncio.AbstractEventLoop | None = None
@@ -50,7 +50,7 @@ class WecomChannel(BaseChannel):
     async def start(self) -> None:
         """Start the WeCom bot with WebSocket long connection."""
         if not WECOM_AVAILABLE:
-            logger.error("WeCom SDK not installed. Run: pip install wecom-aibot-sdk-python")
+            logger.error("WeCom SDK not installed. Run: pip install nanobot-ai[wecom]")
             return
 
         if not self.config.bot_id or not self.config.secret:
@@ -213,7 +213,6 @@ class WecomChannel(BaseChannel):
                 if file_url and aes_key:
                     file_path = await self._download_and_save_media(file_url, aes_key, "image")
                     if file_path:
-                        import os
                         filename = os.path.basename(file_path)
                         content_parts.append(f"[image: {filename}]\n[Image: source: {file_path}]")
                     else:
@@ -308,6 +307,7 @@ class WecomChannel(BaseChannel):
             media_dir = get_media_dir("wecom")
             if not filename:
                 filename = fname or f"{media_type}_{hash(file_url) % 100000}"
+            filename = os.path.basename(filename)
 
             file_path = media_dir / filename
             file_path.write_bytes(data)

nanobot/config/schema.py

@@ -208,7 +208,7 @@ class WecomConfig(Base):
     secret: str = ""  # Bot Secret from WeCom AI Bot platform
     allow_from: list[str] = Field(default_factory=list)  # Allowed user IDs
     welcome_message: str = ""  # Welcome message for enter_chat event
-    react_emoji: str = "eyes"  # Emoji for message reactions
+
 
 class ChannelsConfig(Base):
     """Configuration for chat channels."""

pyproject.toml

@@ -44,11 +44,13 @@ dependencies = [
     "json-repair>=0.57.0,<1.0.0",
     "chardet>=3.0.2,<6.0.0",
     "openai>=2.8.0",
-    "wecom-aibot-sdk-python>=0.1.2",
     "tiktoken>=0.12.0,<1.0.0",
 ]
 
 [project.optional-dependencies]
+wecom = [
+    "wecom-aibot-sdk-python @ git+https://github.com/chengyongru/wecom_aibot_sdk.git@v0.1.2",
+]
 matrix = [
     "matrix-nio[e2e]>=0.25.2",
     "mistune>=3.0.0,<4.0.0",