feat: add platform adapter layer for WeCom and Feishu integration#15
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feat: add platform adapter layer for WeCom and Feishu integration#15
Conversation
Introduce a comprehensive platform adapter layer enabling AI chat integration with enterprise messaging platforms. This implementation supports both WeChat Work (WeCom) and Feishu through WebSocket and HTTP webhook modes.
Core architecture includes:
- Unified channel interface (Channel) with platform-agnostic message handling
- Registry pattern for dynamic channel registration and lifecycle management
- Message deduplication using Redis with 60-second TTL
- Session-to-conversation mapping for persistent chat history across reconnections
Platform implementations:
- WeCom: WebSocket long-connection and HTTP webhook modes with AES decryption
- Feishu: WebSocket and HTTP webhook with signature verification
Supporting infrastructure:
- Extracted ToolExecutor to eliminate duplicate tool call loop logic between handlers
- Added allowlist filtering for authorized user access control
- Conversation binding via Redis mapping (platform:csid:{sessionKey} → OID)
- Unified message format supporting text, images, audio, and file attachments
Configuration via preset.yaml with multi-instance support per platform type.
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Introduce a comprehensive platform adapter layer enabling AI chat integration with enterprise messaging platforms. This implementation supports both WeChat Work (WeCom) and Feishu through WebSocket and HTTP webhook modes.
Core architecture includes:
Platform implementations:
Supporting infrastructure:
Configuration via preset.yaml with multi-instance support per platform type.