Let skill Python scripts install packages from a configurable pip index instead of the default PyPI. docker-compose passes PIP_INDEX_URL / PIP_TRUSTED_HOST into the container; for the desktop app (host JVM, no Docker env) SkillScriptExecutionService falls back to mateclaw.pip.index-url / trusted-host Spring config and injects them into the subprocess, auto-deriving the trusted host for plain-HTTP LAN mirrors. The runtime image gains pip and a build toolchain (with the PEP 668 marker removed so on-the-fly installs work), and the script timeout ceiling is raised to accommodate large installs.
- 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
* feat(wiki): unify raw materials & source watcher into a Sources tab with per-KB auto-sync
The raw-material directory scan and the Advanced "source watcher" sub-tab were
the same engine (same kb.sourceDirectory, same WikiDirectoryScanService) split
across two surfaces with two editable directory inputs. Merge them into one
"Sources" tab (upload / paste / directory manual scan + auto-sync toggle +
the raw-material list) and drop the watcher sub-tab from Advanced.
Auto-sync is now per-KB opt-in: a new watcher_enabled column (V146) gates the
periodic scan per knowledge base. The server-global mate.wiki.watcher-enabled
stays as an ops master switch — a KB is auto-scanned only when both are on
(AND). Manual scans are unaffected. Scan interval stays global for now
(tracked separately).
Closesmatevip/mateclaw#314
* docs(wiki): document source-watcher global switch env vars
Expose MATE_WIKI_WATCHER_ENABLED / MATE_WIKI_WATCHER_INTERVAL_MS as
explicit placeholders in application-mysql.yml, .env.example and
docker-compose.yml, mirroring MATE_WIKI_ALLOWED_SOURCE_ROOTS. Notes the
AND semantics (global ops gate + per-KB toggle) so operators know the
global switch alone is not sufficient.
Surface directory-scan failures to the user via toast and render ScanResult.errors[]; expose MATE_WIKI_ALLOWED_SOURCE_ROOTS as a Docker env entry with blank-entry filtering in the path validator; set C.UTF-8 locale in the runtime image so non-ASCII file names decode correctly during scans.
Fixes#259
Streaming chat ran render tools on an async thread with no bound request,
so download links lost their host and arrived without a domain. Resolve the
host on the request thread and carry it through ChatOrigin/ToolContext;
falls back to a configurable public-base-url, then a relative path.
OAuth token save now promotes the first available chat model when no usable default exists. Default-model resolution and provider availability checks require Provider.enabled=true alongside credentials, so disabled Providers no longer return stale defaults. /models/enabled drops the single-Provider hard-code so OpenAI OAuth and other enabled chat models surface in selectors. Docker exposes the 1455 PKCE callback via MATECLAW_OAUTH_OPENAI_CALLBACK_BIND_HOST (default 127.0.0.1) and a port mapping; deployment mode stays Host-driven.
- Add Node 22/pnpm stage to mateclaw-server/Dockerfile so docker compose
up -d --build produces a fully working image (the Vue SPA is now built
inside the image and copied into the JAR's classpath/static).
- Remove DASHSCOPE_API_KEY from .env.example and root docker-compose.yml;
LLM API keys are configured post-startup via the model management UI.
Full-stack AI assistant built on Spring AI Alibaba.
Features: ReAct Agent, Plan-and-Execute, MCP Protocol, Multi-Model, Multi-Channel.
Apache-2.0 License
