- explicit SecurityConfig authorization for /swagger-ui*, /v3/api-docs*, /webjars/**
- public for local/default profile; admin-only (ROLE_ADMIN) by default in production DB profiles
- override via MATECLAW_OPENAPI_EXPOSE_UI; add RANDOM_PORT integration tests and docs
Live lifecycle board (grid<->board toggle) plus an assignee-swimlane plan
board that groups follow-up re-runs of one goal into a single xN card.
Custom right-side detail/goal panels with markdown output. Fixes plans
being persisted under the per-run trace id so the board actually populates.
Closes#385
Add /wiki/pages row to endpoint table and a new "Wiki knowledge-base
reference ([[slug]] picker)" section explaining the directive-text
mechanism, query parameters, visibility rules (synthesis excluded,
100-page cap, KB-scope fallback), and curl examples (zh + en).
Follow-up docs for the wiki picker endpoint shipped in this PR.
Add /skills row to endpoint list table, note optional agentId on /stream,
and add a new "Skill invocation (slash picker)" section explaining the
directive-text mechanism with curl examples (zh + en).
Follow-up polish for the /skills endpoint shipped via PR #374.
Previously WebChatController.chatStream silently dropped every agent
lifecycle event except _usage_final (and content_delta / thinking_delta
derived from delta.payload). Visitors sat with nothing between the
meta event and the first content chunk — typically 3–10s when the
agent plans / recalls memory / runs tools, longer when the agent
chained multiple tool calls. The JWT chat path (ChatController) had
this wiring; webchat did not.
Curated 4-event subset (per design review):
- phase — high-level phase transition (planning / generating /
summarizing / ...). SDK shows a "AI is thinking..."
typing indicator before the first token.
- tool_start — agent invoked a tool. SDK shows a localized badge
("Searching...", "Reading file.pdf", ...).
- tool_end — tool completed. SDK clears the badge.
- plan — Plan-Execute agents expose their step list. SDK can
render a checklist.
Deliberately NOT forwarded (internal noise / leak risk):
- _usage_final, _routing_decision — consumed internally
- finish_reason — implicit in `done`
- feedback_event — visitor can't retry/regenerate anyway
- perf_summary, iteration_* — internal metrics
- plan_step_started/completed — too granular; the plan event covers
the visitor's needs
Critical safety constraint: tool_start / tool_end carry ONLY the tool
name. Tool arguments and results are dropped — agent tool calls can
contain PII (file paths, user queries, credentials), and relaying
those to a 3rd-party website frontend is a data leak. The SDK maps
tool name → localized label via its own lookup.
Backward compat: existing clients ignore unknown event types per the
SSE spec, so adding these is non-breaking.
Tests: 5 new cases in WebChatStreamE2ETest covering each event type
+ a regression case asserting internal events are silently dropped.
85/85 webchat tests green.
Docs: docs/zh/webchat.md gains a "实时进度事件" subsection.
Stack: feat/webchat-attachment-e2e → feat/webchat-stream-phase-events
Follow-up to epic #355.
docs/zh/webchat.md — single source of truth for downstream integrators.
Covers everything needed to embed MateClaw webchat into a third-party
site without reading source:
- Base URL, auth model (API Key + visitorToken), R<T> response wrap
- Endpoint table (14 visitor-facing + 2 admin)
- Auth flow diagram (how visitorToken gets minted on /stream, reused
on management endpoints)
- Error code table (400/401/404/409 with semantics)
- SSE event protocol (meta / content_delta / thinking_delta / done /
error)
- File upload + download flow (visitor-attached vs agent-generated;
/api/v1/files/generated/<uuid> is permitAll + 7d TTL)
- visitorToken revocation admin endpoint
- Three end-to-end curl examples (first message / list sessions /
upload-then-send)
- Limits (5 empty-session quota, upload caps, 7d expirations,
single-instance constraint today)
@Operation / @Parameter / @ApiResponse / @ExampleObject polish on
WebChatController is intentionally deferred — it's noisy mechanical
work that deserves its own focused PR rather than getting rushed in
here. The doc is the canonical reference now; the swagger annotations
can quote it.
Part of epic #355.
Add the user-facing and API-reference docs that explain how an employee
can declare a primary knowledge base, what the runtime fallback chain
looks like, and how the binding is driven from the API.
agents.md (zh + en)
- New section "Knowledge base binding (per-agent primary KB)" right after
the tool-binding section, with a 1.5.0 New In badge
- Lays out the design intent explicitly: KBs stay workspace-shared, the
binding only chooses a default target, multiple agents may pick the
same KB as primary
- Documents the runtime resolution order used by wiki tools: explicit
kbName/kbId, agent.primaryKbId, most-recently-updated workspace KB
- Migration note about the legacy kb.agent_id to agent.primary_kb_id
backfill and the visibility change for anyone who relied on the old
one-to-one isolation
api.md (zh + en)
- Under Agents: document the primaryKbId field with the three-state PUT
semantics (omit / null / value) and example curl calls
- Under LLM Wiki: document GET /api/v1/wiki/knowledge-bases/bindable and
the explicit warning that PUT /api/v1/wiki/knowledge-bases/{id} no
longer processes the agentId field
