When a user-installed skill (e.g. RedisOps) was bound to an agent, the
model frequently called the skill name directly as a tool, hit
"Tool not found: RedisOps", and either gave up or fell back to shell
guessing. Two compounding causes:
1. The system prompt block injected by SkillRuntimeService listed each
skill as `- **RedisOps** — desc`, which is the same format used for
tool catalogs and primed the model to call the names directly. The
"how to use" instructions referenced `read_skill_file` /
`run_skill_script` — names that don't exist in the tool registry,
so even a compliant LLM couldn't follow them.
2. ToolExecutionExecutor's `callback == null` branches returned a bare
"Tool not found: <name>" string. The model had no recovery signal
and no hint that the name it called was actually a skill.
Fix is two-layered:
- Prompt rewrite (SkillRuntimeService.buildSkillPromptEnhancement): lead
with an explicit warning that skills are NOT directly callable, use the
correct camelCase tool names (readSkillFile / runSkillScript), include
a concrete worked example anchored to the first enabled skill, and
render the listing as a markdown table so it stops looking like a
callable tool list. listAvailableSkills tool description and output
follow the same pattern.
- Runtime safety net (ToolExecutionExecutor): when toolCallbackMap.get
misses, check if the requested name (case-insensitive) matches an
active skill. If so, return a precise hint telling the LLM the right
invocation pattern instead of the bare error. Wired through both the
main execute path and the pre-approved replay path. SkillRuntimeService
is attached via a setter from AgentGraphBuilder so the executor's many
legacy constructors stay untouched, and it's nullable so isolated
tests still work.
Adds 5 unit tests covering: skill match -> hint, case-insensitive match,
no-match -> bare error, no SkillRuntimeService wired -> bare error,
pre-approved replay path -> hint.
Reported and reproduced by @pipima9950-glitch in issue #46.
SkillPackageResolver.persistScanOutcome built a fresh SkillEntity with only
id + scan fields, then called updateById. SkillEntity declares six columns
with @TableField(updateStrategy = FieldStrategy.ALWAYS) — name_zh, name_en,
config_json, source_code, skill_content, security_scan_result — so the
ALWAYS strategy emits UPDATE statements that write NULL to every one of
those columns not set on the partial entity.
Effect: every security re-scan that produced a status/findings change
silently wiped skill_content, config_json, source_code, name_zh, name_en
on the row. After importing a custom skill, the first scan tick destroyed
the imported content.
Fix: switch to LambdaUpdateWrapper so the UPDATE only touches the three
scan columns we actually want to change. Other skillMapper.updateById
call sites (SkillService, BuiltinSkillSeedService) pass DB-hydrated
existing entities and are unaffected.
Reported and diagnosed by @pipima9950-glitch in issue #45.
Three layers landed together because they share the same routing /
lifecycle plumbing:
1. Cron output unification
- New CronConversationResolver routes web-origin jobs to the per-workspace
tasks_<wsId> conversation; IM-bound jobs go to the channel session
conversation when one exists (matched by senderId then targetId);
legacy cron_<id> remains as the fallback.
- CronJobLifecycleService inserts a system-role header divider when a
run starts so users browsing the unified tasks_<wsId> view can tell
which job started a run. BaseAgent.sanitizeForLlm filters these
headers so they never reach the model.
- WorkspaceService seeds tasks_<wsId> on workspace creation; V65
migration backfills existing workspaces.
- DeliveryConfig gains a userId field so IM session lookup can match
by senderId (replyToken-based targetId is not stable across runs).
- ConversationVO recognizes tasks_/cron_ underscore prefix as cron
source. MessageList renders the system header as a labeled divider.
- ChatConsole pins tasks_* conversations and tracks per-conversation
read state so new cron output gets a visible unread dot.
2. Reminder task type
- New task_type='reminder' in CronJobEntity + service validation.
- CronJobRunner short-circuits 'reminder' jobs: hands trigger_message
to finishRunAndPublish verbatim, no LLM call. Fixes a regression
where reminders were rephrased into echoed wrappers.
- New create_reminder tool alongside create_cron_job, with descriptions
tightened so the model picks the right one (verbatim push vs LLM
query that needs computation).
- CronJobs.vue gets a third radio option + dedicated reminder field.
3. In-flight progress placeholder
- Cron uses non-streaming chat()/execute(); tool-heavy ReAct loops
can run 1-5 minutes between start and finish with no visible
state, looking hung.
- New GET /api/v1/cron-jobs/active-runs returns runs in status=running
for a conversation. ChatConsole polls it on the existing 4s tick
(and on conversation switch) and shows a spinner bar with elapsed
time. When run count drops to zero, it refetches messages so the
assistant bubble appears within ~1s of finish.
Add a callout above the existing intro to make the wedge explicit:
multi-user workspaces, approval-gated sensitive actions, full audit trail,
production-grade health monitoring, per-channel error isolation.
One JAR on your own machine, zero data egress.
Chat attachments with non-ASCII filenames (e.g. Chinese) get sanitized
at upload time — `人人有虾.docx` is stored as `1777391026594_____.docx`.
Tools then receive only the original filename via '[Attachment] foo.docx'
and fail with 'file not found'.
- renderMessageContent now appends the actual server-side path so any
tool the LLM picks (read_file / extract_document_text /
detect_file_type) gets a path that resolves directly.
- New ChatUploadResolver helper performs basename-suffix matching inside
the conversation's chat-upload directory; ReadFileTool, DocumentExtractTool
and FileTypeDetectorTool fall through to it when the literal path does
not exist (defense in depth for cases where the LLM ignores the path
hint).
Refs https://github.com/matevip/mateclaw/issues/29
Replace the per-startup admin reconciliation in
WorkspaceSchemaMigration.ensureDefaultWorkspaceMembership() with a
one-shot bootstrap. Once the default workspace has any owner, the
method returns immediately, so an operator's deliberate removal of an
admin from the default workspace persists across restarts. If no owner
exists yet, pick the lowest-id active admin and add them as owner; if
no admin exists at all, log a warning and skip rather than failing
startup.
Refs https://github.com/matevip/mateclaw/issues/29
Restart-time backfill in WorkspaceSchemaMigration was inserting every
existing user into the default workspace and copying mate_user.role
('user'/'admin') into mate_workspace_member.role, whose valid domain is
{owner, admin, member, viewer}. Result: non-admin users assigned to
other workspaces were silently re-attached to the default workspace
with role='user', failing roleLevel() lookup and 403'ing on Agents.
- Filter the INSERT on u.role = 'admin' and hard-code the membership
role to 'owner', removing the role-domain mismatch and the
workspace-isolation violation in one change.
- Add V60__fix_invalid_workspace_member_roles.sql (h2 + mysql) to
drop already-corrupted default-workspace rows for users who have a
valid membership elsewhere, and downgrade the orphan rows to
'member' so those users aren't locked out entirely.
Refs https://github.com/matevip/mateclaw/issues/29
User-reported field issues + a deeper code audit revealed multiple
overlapping bugs in the prior cron-channel delivery change. This fixes
all six.
#1 — Concurrency race on ToolExecutionExecutor (root cause of 'sometimes
succeeds, sometimes fails' tool calls). The volatile instance fields
currentRequesterId / currentWorkspaceBasePath / currentChatOrigin
were shared by every conversation routed through the same per-agent
executor; one user mid-build-loop while another's execute()
overwrote the field would cross-contaminate the captured values into
PreparedToolCall. Fix: kill the instance fields, thread
origin/requester/workspace as method params straight into
PreparedToolCall snapshot. Comment pins the rule so it cannot regress.
#2 — CHAT_ORIGIN missing from KeyStrategyFactory (latent timebomb,
masked by spring-ai-alibaba-graph-core's non-filtering builder path).
Without an addStrategy registration, multi-node state merges in long
ReAct / Plan-Execute loops drop the key, ActionNode reads
ChatOrigin.EMPTY, and the cron persists with channel_id=NULL. Also
caught 4 more keys that were latently unregistered:
WORKSPACE_BASE_PATH, STOP_REQUESTED, RETURN_DIRECT_TRIGGERED,
DIRECT_TOOL_OUTPUTS. All five now registered in both ReAct and
Plan-Execute factories.
#3 — CronJobs UI didn't surface channel binding. CronJobDTO carried
channelId / deliveryConfig but the list page never rendered them.
Added: (a) 'channel' column on list page, (b) channel + targetId
rows in the detail modal, (c) backend batch-loads channel names via
ChannelMapper.selectBatchIds so the column shows the human-readable
name, (d) i18n keys (zh + en), (e) channelName field on TS CronJob
type.
#4a — DingTalk targetId expiry. ChannelChatOriginFactory.resolveTargetId
used to prefer ChannelMessage.replyToken which for DingTalk encodes
a sessionWebhook URL that expires ~90 minutes after the inbound
message. Cron persisted with that webhook then dies with 401/403 and
marks NOT_DELIVERED forever. Fix: prefer the stable chatId, fall
back to senderId — both work indefinitely via DingTalk's Robot API.
#4b — Scheduler pool exhaustion under long LLM. CronJobService's
ThreadPoolTaskScheduler ran with poolSize=4 AND the LLM call lived
on the scheduler thread. Four concurrent crons saturated the pool
and the 5th silently missed its tick. Fix: keep scheduler tiny (it
just fires triggers) and offload runAgent to a dedicated
virtual-thread executor (cron-execute-* threads). LLM workload is
I/O-bound — virtual threads scale to thousands at trivial cost.
#5 — Minor latent bugs:
- AbstractCronResultDelivery.claimRun used .in(... 'NONE','PENDING',null),
but SQL IN never matches NULL. Rewrote as IS NULL OR IN
(NONE,PENDING) so legacy pre-V57 rows can still claim.
- CronDeliveryListener.onCompletedRaw was an empty @EventListener
with a wrong-headed comment about test fallbackExecution. Removed.
- CronJobTool.resolveAgentId silently returned 1L when origin
lacked an agentId — would silently bind to whatever agent #1
happens to be. Replaced with explicit error so wiring bugs surface
immediately instead of producing scheduled-but-never-runs crons.
State-key registration guard. New StateKeyRegistrationCoverageTest
scans MateClawStateKeys via reflection and parses
AgentGraphBuilder.java to extract every
.addStrategy(MateClawStateKeys.X, ...). Asserts every non-_NODE
constant appears in at least one factory. Caught the 4 unregistered
keys above on first run; will catch any future 'forgot to register'
regression.
Tests: 33 unit/arch tests + 27 regression in touched areas — all green.
Vue typecheck clean.
Refs: #25, #16
Replaces the prior ThreadLocal context plumbing with explicit Spring AI
ToolContext threading carried by an immutable ChatOrigin value object,
so a cron created from inside WeChat (or any IM channel) delivers its
results back to the originating channel.
Architecture
- ChatOrigin / ChannelTarget value objects + per-entry-point factories
(ChannelChatOriginFactory in vip.mate.channel, CronChatOriginFactory
in vip.mate.cron — symmetric, no cyclic deps).
- LocaleAwareToolCallback now forwards call(String, ToolContext) and
getToolMetadata so the decorator chain cannot silently drop the origin.
- AgentService 6-method overhaul + ChatOriginHolder bridge into
StateGraph buildInitialState which writes CHAT_ORIGIN; ActionNode +
StepExecutionNode forward it to ToolExecutionExecutor.
- ToolExecutionExecutor builds ToolContext per call; 8/8 tools migrated
(CronJobTool, WorkspacePathGuard, Video/Image/Browser/ReadFile/Music,
DelegateAgentTool with parent-origin inheritance).
- CronJobRunner + CronJobLifecycleService 3-segment REQUIRES_NEW model
(T1 startRun / no-tx runAgent / T2 finishRunAndPublish); ArchUnit
pins CronJobRunner as @Transactional-free.
- CronResultDelivery Strategy + AbstractCronResultDelivery Template
with SQL CAS idempotency on mate_cron_job_run.delivery_status —
replaces the prior process-local Caffeine TTL, cluster-safe.
- CronJobCompletedEvent + @Async @TransactionalEventListener(AFTER_COMMIT);
cronDeliveryExecutor (core=2, max=4, queue=1000, AbortPolicy + audit).
- CronRunStaleCleanup @Scheduled(5min) sweeps PENDING-15min and
status='running'-30min in one query each.
- CronJobRunner.wrapWithDeliveryGuard prepends a system note for
channel-bound crons to suppress hallucinated 'install CLI to send
WeChat' suggestions.
- ApprovalWorkflowService Memento: persist ChatOrigin snapshot on
create, restore on replay so cross-restart approvals keep channel
binding; ChannelMessageRouter + ChatController web-replay both prefer
the Memento and fall back to fresh-build.
- ChannelManager.sendToChannel 4-arg DeliveryOptions overload;
ChannelAdapter#proactiveSend default 4-arg pass-through; Slack
overrides for thread_ts and Telegram overrides for message_thread_id.
- CronJobs UI: read-only 'last delivery' badge driven by
CronJobMapper.selectListWithDeliveryStatus subquery.
Schema migrations V57/V58/V59 (V56 was already taken by an unrelated
provider migration — Flyway processes versions in order regardless of
gaps):
- V57: mate_cron_job_run delivery_status / target / error + composite
index (delivery_status, started_at) covering the cleanup sweep.
- V58: mate_cron_job channel_id (indexed) + delivery_config TEXT (JSON
via MyBatis Plus JacksonTypeHandler).
- V59: mate_tool_approval chat_origin TEXT (Memento).
All idempotent in both H2 (IF NOT EXISTS) and MySQL (INFORMATION_SCHEMA
guard + PREPARE).
ArchUnit guards (test scope, archunit-junit5 1.3.0):
- every concrete vip.mate.* ToolCallback must override
call(String, ToolContext) — pins the decorator-forward fix.
- CronJobRunner must NOT carry @Transactional on the class or any
method — pins the 3-segment lifecycle rule.
Tests: 32 new unit tests + 21 regression tests in touched areas, all
53 green:
- ChatOriginTest (6) — value-object invariants + JSON round-trip.
- LocaleAwareToolCallbackToolContextTest (2) — decorator forward.
- DeliveryConfigTest (4) — Jackson round-trip + forward-compat.
- ToolCallbackToolContextForwardArchTest (2) — both ArchUnit guards.
- CronJobRunnerDeliveryGuardTest (3) — channel-cron prefix injection.
- AbstractCronResultDeliveryTest (4) — claim CAS + concurrent CAS.
- ChannelCronResultDeliveryTest (6) — supports / doDeliver / errors.
- ApprovalReplayContinuityTest (5) — Memento round-trip + corrupt
payload fallback + unknown-field tolerance.
Refs: #25, #16
Volcano Ark exposes a separate 'Coding Plan' subscription endpoint at
/api/coding/v3 with its own coding-tuned model catalog (ark-code-latest,
doubao-seed-code, kimi-k2-thinking, glm-4.7 coding edition, etc.). The
same Volcano API key works against it. Splitting into a sibling
volcengine-plan provider lets users keep chat-tuned and coding-tuned
defaults side by side, and the generalized OpenAI-compatible path
resolver already handles the /v3 suffix without a completionsPath
override.
Adds Flyway V56 (h2 + mysql) and updates the 4 seed-data files with
matching rows (ids 1000000320-325) for fresh installs.
- Generalize the OpenAI-compatible chat/models path resolver so any
baseUrl ending in /v{N} (Ark /v3, Zhipu /v4, ...) drops the duplicate
/v1 prefix. Volcano Engine test-connection and chat were posting to
/api/v3/v1/chat/completions and getting 404.
- Replace the six pre-seeded Doubao alias rows (doubao-1.5-*) with five
valid Ark direct-call ids (doubao-seed-1-8-251228 etc.) and flip
support_model_discovery=TRUE so users can refresh their account's
actual catalog. Aliases were marketing names, not API names, so every
call hit InvalidEndpointOrModel.NotFound.
- Translate Ark business errors into actionable Chinese hints: include
the response body in the error chain, match ModelNotOpen and
InvalidEndpointOrModel codes, extract the offending model id, and
classify them as MODEL_NOT_FOUND so failover skips retries.
Adds explicit user-intent gating to the provider catalog. Fresh installs
get an empty dropdown by default — built-in cloud + local providers
(OpenAI, Anthropic, Ollama, LM Studio, MLX, llama.cpp, etc.) live in a
new 'Add Provider' drawer until the user opts them in. Existing installs
upgrade conservatively: V55 promotes any provider with evidence of use
(real api_key, OAuth token, recent chat usage, or current default model).
Backend
- V55 migration (H2 + MySQL): adds enabled BOOLEAN DEFAULT FALSE on
mate_model_provider, plus 4 promote-to-true UPDATE rules. Also
CREATE INDEX idx_message_runtime_provider_time so the 30-day usage
lookup doesn't full-scan mate_message on heavy users.
- ModelProviderEntity, ProviderInfoDTO: enabled field.
- ModelProviderService:
* listProviders() now filters WHERE enabled = TRUE — chat path,
ModelSelector, Settings/Models main grid see only opted-in rows.
* listCatalog() new — full catalog (enabled + disabled) for the drawer.
* setEnabled(id, enabled) flips the flag, publishes
ModelConfigChangedEvent (re-probe via the existing listener), and
on disable auto-promotes a replacement default model when the
disabled provider owned the current default. Returns EnableResult
so the frontend can fire a toast.
* createCustomProvider sets enabled=true (user just made the row).
- ProviderInitProbe.listConfiguredProviders also filters enabled=true —
no point probing rows the user can't see.
- ModelConfigController: GET /catalog, POST /{id}/enable, POST /{id}/disable.
- Plugin-registered ChatModels are unaffected — they live in
pluginChatModels (in-memory map), don't go through DB listProviders,
so the enabled filter doesn't strand them.
Frontend
- New types: ProviderInfo.enabled, EnableResult.
- New API: catalog / enableProvider / disableProvider.
- New composable useProviderEnablement: catalog ref, drawerOpen,
togglingId, loadCatalog, openDrawer / closeDrawer, enableProvider,
disableProvider (fires defaultSwitchedToast on auto-switch).
- AddProviderDrawer.vue: lazy-loaded, reuses DoctorDrawer's Teleport +
overlay + slide-in panel pattern. Two groups (cloud / local),
unenabled rows surface to the top of each group, enabled rows show
an 'Enabled' badge instead of a button. Mobile: full-screen sheet
that slides up from below.
- ProviderCard: new 'Disable' button with soft-danger styling on
enabled providers — soft-hide that keeps the config; user can
re-enable from the drawer.
- Settings/Models index.vue:
* Two top CTAs: 'Enable Provider' (drawer) and 'Custom' (existing
custom-create modal) — distinct workflows, both surfaced.
* Empty state with prominent 'Enable Provider' CTA when zero
enabled providers — paired with onMounted auto-open of the
drawer (sessionStorage guard so closing it doesn't bring it
back on the next route visit in the same session).
* Deep-link: ?addProvider=1 query forces the drawer open and
strips itself after, so a back/forward doesn't re-fire the open.
- ModelSelector: when groups.length === 0 and not searching, show
'No providers configured -> Configure' CTA linking to
/settings/models?addProvider=1 — the natural flow when a fresh
user opens chat before configuring anything.
- i18n: 13 new keys per locale (zh-CN + en-US) plus common.close.
Migration safety
- Conservative default policy: only rows with concrete evidence of
use are auto-enabled; everything else stays hidden. Upgrade users
may notice unused built-ins disappearing from their dropdown —
that's the intended cleanup.
- mate_message index added so the 30-day usage rule doesn't full-scan
on large installations; FlywayRepairConfig handles redeploy idempotency.
Tests
- ModelProviderServiceEnableTest covers all 7 enable/disable branches:
flag flip + event publish, no-op on already-{enabled,disabled},
default-switch when disabled provider owned current default,
no-switch when default belongs elsewhere, no-replacement returns
unchanged, getDefaultModel exception path, candidates with no
models are skipped.
- ProviderInitProbeTest: helper provider() now sets enabled=true so
the new probe filter doesn't strand existing fixtures.
- vip.mate.llm.** suite: 125 tests green. vue-tsc 0 errors. Browser
page renders with both new buttons + drawer.
Three knots untangled so an image sent from DingTalk lands in both the
LLM's multimodal prompt and the chat history bubble:
- Prefer MessageContent.downloadCode (universal, used by the new
api.dingtalk.com messageFiles/download) over pictureDownloadCode
(legacy oapi field). Sending the legacy code to the new API got
HTTP 500 unknownError, which was the original 'image not recognized'.
- After fetching bytes, persist to ~/.mateclaw/media/dingtalk/ so vision
can read via FileSystemResource, AND stuff the same bytes into
GeneratedFileCache so the UI gets an /api/v1/files/generated/{id} URL
to render. Without the URL the message bubble showed an empty card.
- Carry filename / contentType / size on the MessageContentPart so the
chat history doesn't fall back to the 'unknown' caption.
Same treatment applied to the richText branch (inline images from the
PC client) and threaded through the Stream SDK path.
Bundles in the prerequisite ChannelManager wiring of GeneratedFileCache
into DingTalkChannelAdapter and the new DingTalkMediaUploader used by
the outbound attachment flow that this work depends on.
Known limit: GeneratedFileCache TTL is 10 min — fresh refreshes work,
but viewing the image after a JVM restart needs a stable on-disk
serving endpoint, which is intentionally out of scope here.
Phase 1 of the model-module refactor: combine pool / cooldown / probe-
completion signals into a single Liveness state surfaced through the
provider DTO, so the dropdown stops listing providers that are provably
unreachable. Zero schema change; one PR backend + frontend.
Backend
- Liveness enum with five mutually-exclusive states: LIVE, COOLDOWN,
REMOVED, UNPROBED, UNCONFIGURED. Computed in ModelProviderService
from AvailableProviderPool / ProviderHealthTracker / ProviderInitProbe
snapshots batched once per listProviders() call.
- ProviderInitProbe.hasBeenProbed exposes a monotonic Set so the UI
can distinguish 'still booting' from 'probed and removed' — without
it the startup window flashes false REMOVED states.
- ProviderInfoDTO gains liveness + unavailableReason +
cooldownRemainingMs + lastProbedAtMs. The legacy 'available' boolean
stays but is now derived from liveness == LIVE so the chat fallback
walker and the dropdown agree about what's usable.
- ProviderInitProbe injected into ModelProviderService via
ObjectProvider to break the startup cycle (probe already depends on
the service).
Frontend
- ProviderInfo type extended with liveness + the three detail fields.
- ModelSelector filters UNCONFIGURED + REMOVED out of the dropdown,
shows COOLDOWN / UNPROBED with a status dot and dimmed rows that the
user can still click to override.
- ProviderCard renders a five-state badge driven by liveness instead
of the old configured + pool-entry combo. Reprobe button now keys
off liveness in {REMOVED, COOLDOWN}.
- useProviders drops loadProviderPool / providerPool — pool data ships
inline on each ProviderInfo, saves a round trip per page load and
keeps a single source of truth.
- i18n: 8 new keys across zh-CN and en-US for liveness labels and the
cooldown countdown tooltips.
Bonus fix (discovered during verification): AgentGraphBuilder.buildOpenAiApi
hard-required a usable API key on every OpenAI-compat provider, ignoring
the per-provider requireApiKey flag. That bug stranded keyless local
runtimes (LM Studio / MLX / llama.cpp) the moment a user actually
launched them; Ollama only worked by accident because its seed row
carries a placeholder string in api_key. keyRequired now honors
requireApiKey, and Spring AI's NoopApiKey is used when no key is needed
so the Authorization header is omitted entirely.
Test
- ModelProviderServiceLivenessTest covers all five Liveness states +
the probe-bean-absent fallback branch.
- vip.mate.llm.** suite (118 tests) green; vue-tsc clean.
- End-to-end browser sanity: 27 raw providers reduce to 6 LIVE groups
in the chat dropdown; LM Studio / MLX / llama.cpp render REMOVED red
badges with reprobe buttons; cloud providers without keys show
UNCONFIGURED.
The stream SDK delivers voice messages as ChatbotMessage with msgtype=audio
and the server-side ASR result already filled into MessageContent.recognition
(same shape as WeCom's voice.content). The adapter's handleStreamMessage
only read msg.getText(), which is null for audio events, so the message
landed in handleWebhook with no msgtype, fell through to the default text
branch, found null content, and got dropped at 'Empty message content,
ignoring'. From the user's side: send a voice, nothing happens, no log of
the attempt.
Two surgical edits:
- handleStreamMessage now checks getContent().getRecognition() first; if
present and non-blank, builds payload {msgtype: audio, audio: {recognition}}
before falling back to the existing text path. The earlier comment about
richText being handled inside handleWebhook was wrong — picture and
richText also need their fields propagated through the payload Map; left
a TODO for them.
- handleWebhook gains an explicit case 'audio' branch that pulls text out
of audio.recognition and pushes it onto contentParts.
- ChannelMessage.inputMode now reflects 'voice' when msgtype=audio,
mirroring feishu's behavior so downstream code (memory-extraction
filters, voice-themed system prompts) can tell text vs voice turns apart.
No STT call required — DingTalk transcribes server-side and ships text in
the webhook, so this is a 0-network, 0-config fix.
Mirrors the feishu one-click flow: scan a QR with the DingTalk app,
approve, and the bot's client_id / client_secret get auto-filled instead
of forcing the user through the open-dev console. Saves about seven
manual steps per channel setup.
Backend
- Bump dingtalk-stream from 1.3.5 to 1.3.12. Diff against the classes we
depend on (OpenDingTalkStreamClient, ChatbotMessage, MessageContent,
GenericEventListener) is empty — pure point-release bumps, no API churn.
- New DingTalkAppRegistrationService: synchronously runs init + begin
against /app/registration/{init,begin} on oapi.dingtalk.com to obtain
the device_code and verification URL, then spawns a daemon worker that
polls /app/registration/poll every 5s until SUCCESS / FAIL / EXPIRED is
returned. Sessions evict after 7 minutes, worker has a 6-minute hard
runtime cap, transient HTTP errors do not terminate the loop. Same
shape as the feishu service, but written from scratch because the
dingtalk-stream SDK doesn't wrap this OAuth device flow.
- Two new endpoints under /api/v1/channels/webhook:
POST /dingtalk/register/begin returns session_id;
GET /dingtalk/register/status returns status + qrcode_img (data URI
PNG, ZXing-encoded from the verification URL, matching the feishu and
weixin flows). Status surface: waiting / confirmed / expired / denied.
Frontend
- channelApi.dingtalkRegisterBegin / dingtalkRegisterStatus.
- New useDingTalkAppRegister composable, structurally identical to
useFeishuAppRegister minus the domain argument. Stops polling on
terminal status, fires onConfirmed with {clientId, clientSecret}.
- ChannelEditModal: dingtalk-register-card rendered when channelType is
dingtalk, scoped DingTalk blue (#1f79ff) to differentiate from feishu's
indigo. onConfirmed writes channelConfig.client_id / client_secret so
the existing form fields update reactively.
- i18n: channels.dingtalkRegister.* keys for title / hint / button states
/ scan / confirmed / expired / denied / startFailed.
Saves the user the entire 'go to the open platform -> create an enterprise
app -> copy App ID and Secret' detour. Click a button in the channel form,
scan the QR code, confirm authorization, credentials are auto-filled.
Backend
- Bump com.larksuite.oapi:oapi-sdk from 2.5.3 to 2.6.1, which adds the
scene/registration package wrapping the device-code flow.
- New FeishuAppRegistrationService: each begin() creates a sessionId,
spawns a worker thread, runs the SDK's blocking RegisterApp.register
with onQRCode and onStatusChange wired into a per-session state machine
(PENDING -> WAITING -> CONFIRMED / EXPIRED / DENIED / ERROR). The
session caches the QR data URI so ZXing only encodes once per attempt.
Sessions evict after 5 minutes so closed browsers don't leak the map.
- Two new webhook endpoints under /api/v1/channels/webhook/feishu:
POST /register/begin returns session_id, GET /register/status returns
status + qrcode_img (data URI base64 PNG, ZXing-encoded from the SDK's
verification URL — the raw URL would render as a broken image, so the
encoding step matches the WeCom flow).
- SDK detail caught the hard way: don't pass .domain() or .larkDomain().
The SDK defaults are accounts.feishu.cn / accounts.larksuite.com (the
registration endpoints). open.feishu.cn is the open-API endpoint, a
completely different service. Passing the wrong one makes the SDK parse
HTML as JSON and emit invalid_response.
Frontend
- channelApi: feishuRegisterBegin / feishuRegisterStatus.
- New useFeishuAppRegister composable: state machine that begins the
session, polls status every 2s, prefers qrcode_img over qrcode_url for
the <img> src, stops on terminal status, fires onConfirmed with
{appId, appSecret}.
- ChannelEditModal: a new feishu-register-card above the wecom one. The
composable's onConfirmed writes channelConfig.app_id / app_secret, so
the existing form fields update reactively.
- i18n: channels.feishuRegister.* keys for title / hint / button states /
scan / confirmed / expired / denied / error.
The zh seed planted channels with English display names (DingTalk Bot,
Feishu Bot, WeCom Bot, ...). The type label localized correctly but the
per-channel name stayed English on the cards page even when UI was Chinese.
- Update zh seed files (data-zh.sql + data-mysql-zh.sql) so fresh installs
get Chinese names from the start: Web 控制台, 钉钉机器人, 飞书机器人,
Telegram 机器人, Discord 机器人, 企业微信机器人, QQ 机器人, Slack 机器人.
id=1000000008 (微信) was already Chinese; left alone. en seeds untouched.
- Add V54 migration that flips existing zh-CN installs in place. Each
UPDATE is gated on system_setting language=zh-CN AND the channel name
still equal to its original English seeded value, so user-renamed
channels are left alone. Subsequent runs match no rows (idempotent).
h2 and mysql variants stay in lockstep.
Backend (FeishuChannelAdapter):
- Default connection_mode flips webhook -> websocket on doStart and doReconnect.
- Stale event filter: drop events whose message.create_time is older than
stale_event_threshold_seconds (default 30s) so SDK reconnect replays do not
re-trigger the agent.
- Silent disconnect watchdog runs every 60s; if no events arrive for
silent_disconnect_threshold_seconds (default 1800s) after the first event,
call onDisconnected to force a reconnect cycle. Setting the threshold to 0
disables the watchdog. The watchdog is scheduled before wsClient.start() on
the bring-up path because that call blocks indefinitely.
- Quoted message context: when a reply has parent_id set, fetch the parent
via GET /open-apis/im/v1/messages/{id}, summarize per msg_type (text / post
first paragraph / [Image]/[File]/[Audio]/[Video] placeholders, capped at
200 chars), and prepend [Quoted: ...] to both content text and the first
content part. LRU-cached (200) per message_id.
- AbstractChannelAdapter gains getConfigLong helper for numeric config keys.
Frontend:
- types/index.ts feishu fields: default connection_mode is websocket; the
recommended option moves to the top; verification_token and encrypt_key
get showIf so they only render in webhook mode; new enable_quoted_context
switch (default on) exposes the quoted-message feature.
- ChannelEditModal builds a feishu-specific WEBHOOK_GUIDES path that picks
webhookStep vs websocketStep based on connection_mode, so users only see
steps for the mode they're using.
- i18n: split feishu.step3/step4 into webhookStep/websocketStep, rename
step5 to permissionStep. Channel type labels in zh-CN drop bilingual
prefix (e.g. 'Feishu / Lark (飞书)' -> '飞书').
Migrations:
- V52 was a no-op the first time it ran (matched compact JSON only) and
Flyway refused to re-run after the SQL was fixed. V52 is documented as a
no-op; V53 carries the actual UPDATE with REPLACE covering both compact
and pretty-printed JSON, and an idempotent WHERE for rows already on
websocket. h2 and mysql variants stay in lockstep.
Issue #24: tools selected in the agent binding UI had no effect at runtime.
mate_tool.name stores the Java class name (e.g. "BrowserUseTool") and was
written into mate_agent_tool.tool_name, but AgentToolSet.withAllowedToolsOnly
matched by the @Tool function name (e.g. "browser_use") — so every binding
was silently filtered out.
Fix: AgentToolSet builds an alias index per ToolCallback indexed by every
equivalent identifier — function name, Spring bean name, and Java class
simple name. withAllowedToolsOnly / withDeniedToolsFiltered / excluding
all accept any of these aliases, mirroring how Spring's BeanFactory accepts
bean names + aliases.
ToolRegistry.getEnabledToolSet now threads a bean→beanName resolver into
the new AgentToolSet.fromCallbacks(...) overload. Existing two-arg callers
keep working; tests pass without changes.
Zero data migration: stale mate_agent_tool rows that previously had no
effect now resolve correctly via the class-name alias.
- Reconcile approval status atomically: DB row, message metadata, in-memory store
- Approve and deny both flip the tool-call card + timeline segment to a terminal
state on the gate message — no more orange spinner stuck after a decision
- Frontend hydrate matches by pendingId and reverse-converges to expired so a
refresh after server-side timeout / consume clears the banner without restart
- Stop sweep, GC timeout, and JVM restart all close the loop with consistent
state
- Remove the dead REST /approve endpoint + matching frontend client export so
there is only one resolve path to maintain
Some self-hosted OpenAI-compatible serving frameworks return a 400 Bad Request
with a generic Pydantic "body=None / Field required" error when the outbound
request carries tool_choice="auto" but the server was launched without an
auto-tool-choice opt-in flag. The error message hides the real cause: the
request is rejected at validation time before the body is parsed, so the
upstream client sees only the generic body-missing error.
Per the OpenAI spec, omitting tool_choice when tools is non-empty is
functionally equivalent to "auto" — the server defaults to auto-pick.
Adding a stripAutoToolChoice patcher to the buildOpenAiApi chain:
- changes nothing on compliant servers (OpenAI / DashScope / DeepSeek / Kimi
default to auto when tools are present)
- unblocks strict OpenAI-compatible self-hosted endpoints
Explicit values other than "auto" ({"none", "required", or a function
descriptor}) are passed through unchanged.
Run on both chatCompletionEntity and chatCompletionStream paths so both
buffered and streaming calls benefit.
Three bugs surfaced when a non-admin workspace member opened the channel
admin page:
- vue-i18n "Invalid linked format" when '@' appeared in message strings
without the linked-format escape. Replaced literal '@' with vue-i18n v9
literal interpolation {'@'} in both zh-CN.ts and en-US.ts (6 strings:
QQ guide step3, accessControl requireMention/Tooltip).
- 403 from WorkspaceAccessInterceptor was being treated as 401 by the
axios interceptor and the chat SSE handler, clearing the token and
redirecting to /login. Split the two:
* 401 = authentication failure -> handleAuthFailure (logout)
* 403 = authorization failure -> keep session, surface to caller
Now a member who lacks workspace permission sees a toast instead of
being silently logged out.
- Two backend exception sites threw with the default code=500 for what
is semantically an auth/authz event, contradicting the codes returned
elsewhere for the same business event:
* AuthService.login() bad credentials 500 -> 401
* WorkspaceService.requirePermission() 500 -> 403
This aligns service-layer denials with SecurityConfig (401 for missing
JWT) and WorkspaceAccessInterceptor (403 for permission denied), so
the same business event always produces the same code.
Foundation for the ghost-approval root-cause fix.
Adds ResolveOutcome / MetadataDecision; rewrites ApprovalWorkflowService so
every resolve / consume / timeout / supersede transitions through one
two-phase contract: snapshot → DB UPDATE conditional on status=PENDING →
metadata reconciliation → afterCommit memory mutation. ChatController,
ChannelMessageRouter, and ApprovalController all switch to the workflow;
ApprovalService.resolve / resolveAndConsume / consumeApproved /
cancelStalePending / denyAllByConversation are physically removed so
DB-bypass is no longer reachable at compile time.
Specific fixes:
- recoverFromDb preserves DB pendingId + createdAt (was generating fresh
random ids, breaking every later DB sync)
- effectiveExpireAt = expireAt ?? createdAt + PENDING_TTL: legacy rows
with NULL expireAt no longer resurrect as live PENDING after restart
- markPendingApprovalsResolved flips pendingApproval.status + currentPhase
+ MessageEntity.status atomically (was only flipping the first field;
message.status uses existing completed/stopped, not approved/denied,
to stay within the frontend Message.status union)
- GC scheduler moves to ApprovalWorkflowService; timeouts and overflow
evictions now sync DB + metadata + memory through markTimeout
- DB UPDATE rows=0 returns alreadyResolved (concurrent-resolve safe);
exception propagates so @Transactional rolls back; memory stays untouched
- expireRecoveredRow gates metadata write on DB success (was writing
metadata even when DB update failed, producing the worst-case ghost)
- Mockito JDK 21 agent attach fixed via maven-dependency-plugin properties
+ surefire argLine (no more flaky self-attach across machines)
Tests: 34 new across 4 classes (recovery, resolve, GC, metadata sync).
Full suite: 788 / 788.
The two tools-sync scripts ran on every startup and used H2 MERGE INTO
... KEY(id), which overwrites every column on existing rows. That
silently reverted UI-toggled `enabled` and was the proximate cause of
a recent WriteFileTool/EditFileTool outage.
They were also a strict subset of the fresh-install seed (data-zh.sql /
data-en.sql register all 19 builtins; the sync scripts only 16) and out
of date. Per-tool Flyway migrations (V3, V31) are already the canonical
'register a new builtin' path, so the sync layer was duplicated and
error-prone.
Delete both files and the runToolSyncScript() loader. Tool descriptions
shown to the LLM come from @Tool annotations in code, not the DB row,
so removing per-startup metadata refresh has no functional impact.
Two follow-up improvements on top of renderDocxFromFile so the docx
pipeline can handle real long-form deliverables instead of just
prose-only memos.
Image embedding (P1).
MarkdownDocxRenderer now recognizes single-line  markdown
and embeds the referenced file via POI's XWPFRun.addPicture():
- PNG / JPG / GIF / BMP read straight from disk
- SVG rasterized via Apache Batik (PNGTranscoder, target width 1400px)
before embedding — OOXML stores raster images, so any vector source
needs conversion. Batik runs in-JVM, no rsvg-convert / cairo on host.
- Pictures are pinned to roughly the printable page width (≈ 5.77 in
for A4 minus default 1800-twip margins) and given a 4:3 height
fallback. Mixing images inline with other paragraph text is not
supported by design — the markdown subset assumes one image per
block paragraph. Inline images would require splitting paragraphs
across runs with explicit positioning, well beyond what this
renderer covers.
- Failure modes (missing file, unsupported format, Batik blowing up)
emit an italicised "[image: alt — reason]" placeholder so the rest
of the document still renders; the agent can read its own log to
see why the picture didn't make it.
- Adds two transitive deps via pom: batik-transcoder + batik-codec at
1.18, ~10 MB combined. Worth it given the alternative is shelling
out to system tooling.
Multi-file render (P2-lite).
New tool renderDocxFromFiles(List<String> filePaths, filename, pageSize)
reads several markdown files in order and renders one combined docx.
Lets the agent split a 30-page proposal into cover.md / ch1.md /
ch2.md / appendix.md and produce a single deliverable in one tool
call. Each path goes through WorkspacePathGuard.validatePath; any
empty or unreadable file aborts with a typed error so the agent
fixes its file list before retrying. Files are joined with a blank
line — no separator markup is injected, headings carry over cleanly.
I deliberately did NOT build the heavier mutable-docx state
("appendDocxChapter / finalizeDocx") flavor of P2: the multi-file
form covers the same workflow with no per-conversation state to
clean up, and the agent can iterate by rewriting the chapter file
and re-running the tool. Stateful append can come later if a
streaming use case actually shows up.
renderDocx and renderDocxFromFile @Tool descriptions updated to point
the agent at renderDocxFromFile for >5 KB markdown and to advertise
the new image-embedding capability.
renderDocx requires the markdown body to flow through the LLM as a
tool argument. For an 80 KB project proposal that's ≈ 20 K tokens of
streaming output spent just to repeat back content the model already
wrote to disk a turn earlier — multi-minute generation, real money.
renderDocxFromFile takes a file path instead. The agent uses
write_file / edit_file to assemble the markdown locally, then calls
this tool with just the path. JVM reads the file in one IO syscall
and feeds it to the existing MarkdownDocxRenderer. Token cost drops
from ≈ 20 K to ≈ 50 (the path string).
Behavior:
- Path resolution honors WorkspacePathGuard, same boundary as
read_file / write_file. No path traversal.
- UTF-8 read; rejects empty / missing / non-regular paths with
typed error messages so the agent can recover.
- Output cached in GeneratedFileCache and returned as a relative
/api/v1/files/generated/{id} link, with the same anti-host-
hallucination instruction renderDocx already carries.
- Same supported markdown subset (headings, bold, lists, tables).
Image references () still render as raw text — full
image embedding (P1) and SVG → PNG conversion (also P1) need
Apache Batik plus image-rendering plumbing in MarkdownDocxRenderer
and is tracked separately. Chapter-mode merge (P2) likewise needs
its own plumbing.
The @Tool description tells the agent to prefer this path when
markdown exceeds ~5 KB and shows the full write_file →
renderDocxFromFile workflow inline.
