Extend delegation system with 5 new specialized roles alongside
researcher/analyst/reviewer. Each role has curated tool access.
Refactor profile lookup to use profile_for_role_name and update
compact/summarizer and tool context accordingly.
- Add gitignore and prettier configuration files for project scaffolding
- Implement room access control service with project member verification
- Create user access key management with CRUD operations and activity logging
- Add accordion UI component for frontend expandable sections
- Implement room AI configuration with list, upsert, and delete operations
- Add AI event types for agent join/leave/status change tracking
- Create streaming AI processing services for mode and react patterns
- Build room AI service with model detection and idempotency handling
- Integrate chat service orchestration for AI message processing
- Add typing indicators and stream cancellation for AI interactions
- Implement mention parsing and context extraction for AI agents
Add persistent chat session state (ChatState, sequence tracking, tool
calls). Introduce basic billing record in agent crate. Refine chat
service to route messages through state machine with tool support.
Move tool execution to a spawned task so synchronous git2 operations
don't block the tokio worker thread, allowing heartbeat chunks to be
sent every 10s during long tool execution.
Also add analysis-first reasoning prompt to system messages.
Add with_embed_service() builder and embed_service() accessor to ToolContext,
wired through ChatService so function-calling tools can access Qdrant vector search.
- process_react now returns (String, i64, i64) tuple with token counts
- Extract token stats from rig Agent FinalResponse usage field
- Both streaming and non-streaming ReAct modes now bill correctly
- Add record_ai_session() helper calling billing::record_ai_usage()
- Replace all Set(None) cost/currency with actual calculated values
- Cost computed from model_pricing via Decimal precision
- Use AgentBuilder for native tool-calling with stream_prompt()
- Add RecordingTool wrapper preserving retry + DB recording
- Fix tool_choice bug in do_completion (same as call_stream_once)
- Add seq field to RoomMessageStreamChunkEvent for strict ordering
- Map streaming events: Text→Answer, Reasoning→Thought, ToolCall→Action
- Only final event has done=true, removed premature stream ending
- Store __chunks__ JSON in thinking_content for ordered replay
- Start SSH rate limiter cleanup task that was missing (prevent memory leak)
- Create single ToolContext outside tool execution loop so max_tool_calls
and max_depth guards actually fire across batch tool calls (was creating
fresh context per call, bypassing all limits)
When a user mentions a repository in room chat, extract the repo name
from @[repo:name:label] brackets, look up the full repo model from the
database, and inject its details (name, description, default branch,
visibility) into the AI message context. Works independently of
embed_service availability.
- StreamChunk/StreamChunkType types for preserving arrival order
- Chunk collection in call_stream_once and process_stream
- Add "error sending request" and "Http client error" to retryable errors
- StreamResult includes chunks vector for ordered replay
- Streaming path: on tool_call execution error, emit an [Observation]
chunk so the model sees the failure and can retry/adapt
- Non-streaming path: inject error as a user message so the loop
continues with error context, not silently stop
- Refactor room-context.tsx with improved WebSocket state management
- Enhance room-ws-client.ts with reconnect logic and message handling
- Update Discord layout components with message editor improvements
- Add WebSocket universal endpoint support in ws_universal.rs
