In actix-web, separate web::scope() trees don't merge. The /projects
scope was intercepting /api/projects/{name}/skills before the separate
skill scope could match, causing 404 on all skill endpoints.
Move skill routes into init_project_routes as /{project_name}/skills/*
and remove the standalone configure(skill::init_skill_routes) call.
- Implement SSHandle struct with comprehensive Git service handling capabilities
- Add support for multiple authentication methods including password, public key and certificate
- Integrate Git command parsing and execution with proper channel management
- Implement branch protection rules enforcement during Git operations
- Add robust error handling and logging for SSH connections and Git processes
- Create secure Git command execution with environment isolation
- Implement proper resource cleanup for channels and subprocesses
- Add support for receive-pack, upload-pack and upload-archive services
- Integrate with existing authz and database services for permission checks
- Implement proper data forwarding between SSH channels and Git processes
fix(config): improve environment loading with error reporting
- Replace silent dotenv loading failures with informative error messages
- Handle global config race conditions safely during application startup
- Improve config loading reliability and debugging capabilities
fix(link-unfurl): handle server-side rendering compatibility
- Add undefined window object check for SSR environments
- Prevent client-side only code from breaking server-side rendering
refactor(agent): improve tool registry error handling
- Replace panics with graceful error logging for duplicate tool registrations
- Add proper error type definitions for tool registry operations
- Implement safe merging of registries with duplicate detection
fix(room-context): enhance WebSocket connection reliability
- Add proper error handling for room subscription operations
- Improve connection management with better error suppression
- Add console warnings for debugging connection issues
feat(ws-client): add comprehensive WebSocket client implementation
- Create RoomWsClient class with complete WebSocket communication layer
- Implement request-response pattern with timeout handling
- Add support for various room-related events and actions
- Include proper connection status tracking and management
- Implement callback system for different event types
- Add automatic reconnection and error recovery mechanisms
- Apply same deduplication logic as service scanner
- Keep latest version by commit_sha when duplicates found
- Fix type error: Ok("skill.md") → Some("skill.md".to_string())
- Change deduplication key from slug to {repo_id}+{blob_hash}
- Keep latest version by commit_sha when duplicates found
- Use git2 to open repos and get correct workdir and commit_sha
- Fix case-insensitive SKILL.md detection in scanner
Add room parameter (UUID) and pn (project name) to search/messages API.
Service layer supports filtering messages by room and project scope.
Frontend search page updated with room-scoped search support.
Billing is now handled internally by chat_service.process via record_ai_session.
Remove the old billing.rs file and explicit record_ai_usage calls from all 4
AI streaming modes (nonstreaming, react_nonstreaming, react_streaming, streaming).
- HookWorker gains optional embed_service field
- Captures changed tag names during webhook dispatch, batch-embeds after completion
- HookService auto-inits EmbedService from config for standalone git-hook binary
- Adds agent dep to git crate (no circular dep)
- SSH/HTTP servers no longer call start_worker (dedicated git-hook handles it)
- git_tag_search FC tool for agent semantic tag search with project isolation
- After issue_create: spawn embed_issue_chunked (non-blocking)
- After skill_create/update: spawn embed_skill
- After repo create/update in fctool: spawn embed_repo
- Wire EmbedService through AppService, available for all triggers
- make_persist_fn now accepts embed_service, collects persisted text messages
- Filters non-text, non-empty, non-system/tool messages
- Groups by room→project_name, batch-embeds via embed_memories_batch
- Removes old per-message synchronous embed_memory call
- Workers thread embed_service through to persist_fn
Add with_embed_service() builder and embed_service() accessor to ToolContext,
wired through ChatService so function-calling tools can access Qdrant vector search.
- chunk_text(): char-boundary-safe text chunking at paragraph/sentence breaks (7000 char limit)
- embed_memories_batch(): groups messages by room, batch-embeds all texts to reduce Qdrant calls
- embed_issue_chunked(): auto-chunks long issue bodies
- embed_skill(): upgraded with auto-chunking via chunk_text
- TagEmbedInput struct for batch tag embedding
- embed_tags_batch() / search_tags() with project isolation
- ensure_collections() now creates embed_repo_tag collection
- ai_react_nonstreaming now passes real input/output tokens to billing
- Was passing hardcoded 0,0 despite destructuring token data
- Also fix unused variable warnings
Critical fixes:
- Wrap balance updates in database transactions with SELECT FOR UPDATE
- Move history insert after balance validation to prevent orphaned records
- Use Decimal throughout to avoid silent conversion failures
- Prevent concurrent requests from causing negative balances
Tasks resolved:
- Task #4: Silent Decimal conversion failures
- Task #5: Missing transaction isolation (race conditions)
- Task #6: History inserted before validation
- 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
- issue_triage.rs: use check_project_access instead of nonexistent get_project_member
- email/lib.rs: make EMAIL_REGEX pub to suppress dead_code warning
- tracing_fmt.rs: minor import ordering cleanup and code formatting
- Import room_message_reaction, room_message_edit_history, room_notifications modules
- Fix room_message_edit_history: no Room column, use subquery via messages
- Change publish_project_room_event from Result to () handling
- Add QuerySelect import for limit() method in workers.rs
- Add Offline status to ModelStatus enum
- Sync marks all models offline first, then activates found ones
- Deduplicate by model name (ignoring provider)
- Deactivate orphaned models (offline -> deprecated)
- Add models_offline and models_deactivated to SyncModelsResponse
- Add deduplicate_existing_models() for cleanup
- Rename upsert_model to upsert_model_by_name
- 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)
- Fix second copy of push_subscription unwrap that was in a
tokio::spawn block with different indentation
- Replace constant UUID parse unwrap with expect()
- SSH rate limiter: wire SshRateLimiter into SSHServer with IP-based
rate limiting on new_client connections
- Room startup: cap initial room load at 1000 via limit() to prevent
resource exhaustion on large instances
- WS token exposure: only include token in URL for cross-origin
connections; same-origin web clients authenticate via secure cookies
- CSRF: confirmed SameSite::Lax + Secure + HttpOnly are all set
(session config defaults)
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.
