- Rename chat module to conversation with flow-based architecture
- Move channelidentities into channel/identities subpackage
- Add channel/route for routing logic
- Add message service with event hub
- Add MCP providers: container, directory, schedule
- Refactor Feishu/Telegram adapters with directory and stream support
- Add platform management page and channel badges in web UI
- Update database schema for conversations, messages and channel routes
- Add @memoh/shared package for cross-package type definitions
Align channel identity and bind flow across backend and app-facing layers, including generated swagger artifacts and package lock updates while excluding docs content changes.
- Add SetupBotContainer to ContainerLifecycle interface so containers
are automatically created when a bot is created, matching the existing
cleanup-on-delete behavior.
- Refactor schedule tools to use bot-scoped API paths and pass identity
context for proper authorization.
- Introduce dedicated trigger-schedule endpoint in chat resolver with
explicit schedule payload instead of reusing the generic chat path.
- Generate short-lived JWT tokens for schedule trigger callbacks with
resolved bot owner identity.
- Validate required parameters in NewLLMClient and NewOpenAIEmbedder
constructors, returning errors instead of falling back to defaults.
- Add unit tests for schedule token generation and chat resolver.
Major changes:
1. Core Architecture: Decoupled Bots from Users. Bots now have independent lifecycles, member management (bot_members), and dedicated configurations.
2. Channel Gateway:
- Implemented a unified Channel Manager supporting Feishu, Telegram, and Local (Web/CLI) adapters.
- Added message processing pipeline to normalize interactions across different platforms.
- Introduced a Contact system for identity binding and guest access policies.
3. Database & Tooling:
- Consolidated all migrations into 0001_init with updated schema for bots, channels, and contacts.
- Optimized sqlc.yaml to automatically track the migrations directory.
4. Agent Enhancements:
- Introduced ToolContext to provide Agents with platform-aware execution capabilities (e.g., messaging, contact lookups).
- Added tool logging and fallback mechanisms for toolChoice execution.
5. UI & Docs: Updated frontend stores, UI components, and Swagger documentation to align with the new Bot-centric model.
BBQ