- Lead agents: auto-resolve team workspace as default (relative paths)
- Dispatched members: team workspace as default via req.TeamWorkspace
- Direct-chat members: own workspace default, team workspace accessible
- Add dataDir field to Loop/LoopConfig for global workspace root
- System prompt shows team workspace absolute path for model guidance
- Remove orphan task detector (superseded by post-turn dispatch)
- Log warning on OpenAI tool call argument parse failures
Major refactoring of the team system with multiple improvements:
## Removed legacy delegation tools
- Delete `delegate.go`, `delegate_async.go`, `delegate_sync.go`, `delegate_events.go`,
`delegate_policy.go`, `delegate_prep.go`, `delegate_state.go`, `delegate_search_tool.go`
- Delete `evaluate_loop_tool.go`, `handoff_tool.go`
- Remove all references and registrations from tool manager and policy
- Clean up TEAM_PLAYBOOK_IDEAS.md and TEAM_SYSTEM.md (moved to docs)
## Rename await_reply → ask_user
- Rename action `await_reply` → `ask_user`, `clear_followup` → `clear_ask_user`
- Rename functions `executeAwaitReply` → `executeAskUser`, `executeClearFollowup` → `executeClearAskUser`
- Update system prompt with stronger wording to prevent model misuse
- Model was confusing "await_reply" with general waiting; "ask_user" is unambiguous
## Fix auto-followup false positives
- Add `HasActiveMemberTasks(ctx, teamID, excludeAgentID)` store method
- Guard `autoSetFollowup()` in consumer: skip when lead has active member tasks
- Prevents auto-followup when lead is orchestrating teammates (not waiting for user)
## Task identifier zero-padding
- Change format from `T-1-xxxx` → `T-001-xxxx` (3-digit minimum)
## Refactor workspace WS handlers to filesystem-only
- Rewrite `teams.workspace.list/read/delete` to use pure filesystem (os.ReadDir/ReadFile/Remove)
- Remove DB dependency from workspace WS handlers
- Consistent with storage handler and workspace tools
- Simplify TeamWorkspaceFile type and frontend hook
## Add team events listing API
- New WS method `teams.events.list` with team_id, limit, offset params
- New HTTP endpoint `GET /v1/teams/{id}/events` with bearer auth
- New `ListTeamEvents(ctx, teamID, limit, offset)` store method
- JOIN with team_tasks for team-wide event filtering
## Extract team access policy
- New `team_access_policy.go` — centralized team tool access control
## Migration 000019: team_id columns
- Add team_id foreign key columns to relevant tables
## Other improvements
- Add team_id propagation through agent loop, tracing, sessions
- Update i18n locale files (en/vi/zh) for new tool labels
- Update frontend builtin-tools page and require-setup component
- Bump RequiredSchemaVersion for migration 000019
- A1+C2: Include token usage in run.completed event payload for WS clients
- A2: Cost tracking with model pricing config, cost calculation, and cost summary API
- A3: Budget enforcement per agent with monthly budget limits (migration 000015)
- C1: External wake/trigger API (POST /v1/agents/{id}/wake) for orchestrators
- C3: Activity audit trail with structured logging and queryable API
- UI: Activity page, cost stat card on overview, budget section in agent detail
- i18n: Complete en/vi/zh translations for all new features
Spans are now emitted BEFORE execution starts with status "running" and
input visible, then updated when the step completes. This lets users see
what the system is doing during long-running LLM calls and tool executions.
- Add EmitSpanUpdate() to collector with separate update buffer
- Flush ordering: batch INSERT new spans first, then process updates
- Split LLM/tool/agent spans into start/end pairs (agent loop + subagent)
- Emit tool span end inside goroutines for parallel calls (no orphans)
- EmitSpanUpdate is a channel send — works after ctx cancellation
Implement full thinking mode system: per-agent thinking_level config (off/low/medium/high)
stored in other_config JSONB, per-provider param injection (Anthropic budget_tokens, OpenAI
reasoning_effort, DashScope enable_thinking+thinking_budget), Anthropic extended thinking with
streaming parse and tool use block preservation via RawAssistantContent, thinking token tracking
in trace spans, and Web UI with agent config selector, chat thinking block rendering, and trace
thinking token display. No DB migration needed.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Multi-agent AI gateway with WebSocket RPC, HTTP API, and messaging channel integrations.
Go port of OpenClaw with multi-tenant PostgreSQL, per-user isolation, security hardening,
and production observability.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
viettranx