The multimodal sidecar selector change made resolveSidecar honour an explicit
sidecar selection even when the built-in capability heuristics don't recognize
the model (it now logs a diagnostic and returns the model instead of rejecting
to NONE). The test still asserted the old reject->NONE path. Update it to assert
SIDECAR and the honoured model, matching the current production behavior.
Both failed on dev independently of the recent merges (confirmed against a
pre-merge baseline):
- MemorySummarizationStructuredRoutingTest reflected applyStructuredEntries by
its old (Long, JsonNode) signature; owner-isolation added a trailing ownerKey
param. Update the reflective lookup to (Long, JsonNode, String) and the
remember() verifications to the 6-arg overload.
- ToolGuardCardHandlerTest still asserted the old 'system-owned pending accepts
any clicker' behavior, but the handler now rejects a group click on a
system/cron-owned approval fail-closed (no human requester to match), routing
it to the admin console. Assert no synthetic injection + the unauthorized card
render instead.
Decoupling the channel-message event bridge onto an @Async listener means the
downstream workflow run is produced off the event-publishing thread. The test
read the run table synchronously right after publishEvent, racing the listener
— the positive cases failed and the negative cases passed for the wrong reason.
Poll briefly for the run (positive) / give the listener time then assert none
(negative) so the test reflects the async dispatch semantics.
The mention alias-learning fed every identifier of every mention in a
delivery into the per-chat alias cache. A single delivery of "@bot @alice"
matched the bot by its global id and then learned alice's openId as a bot
alias, so every later "@alice" message was misdetected as @bot and the agent
replied to messages never addressed to it.
Only single-mention deliveries are unambiguous bot identities, so restrict
alias learning to them — a multi-mention delivery mixes the bot with
co-mentioned humans, and Feishu's dual-delivery alias form is itself a single
mention, so this is safe and keeps the learning feature working. Also cap the
per-chat alias set size. Adds a [bot, human] co-mention regression test.
Add an execute_code built-in tool that runs python/bash/node code the agent
writes on the fly, so a documentation-only skill (a SKILL.md with no bundled
scripts) can be acted on. Scoped runs inject the skill's secrets and run in
the skill directory; otherwise a private scratch directory is used. Host
secret env vars are scrubbed from the subprocess. execute_code is an
agent-wide capability, registered in the tool catalog (V143), and screened
by the tool guard with a dedicated set of destructive-pattern rules.
Tests cover python/bash/node execution, scratch-dir fallback, env scrubbing,
argument decoding, and guard gating.
Add 5-arg buildContextMessage overload that emits [system-context] Model:
for every origin (web/cron/IM). Legacy 3/4-arg overloads delegate to the
new one with null model args, keeping their output byte-identical.
Also fix pre-existing FeishuMentionTest compile error caused by removed
mentionMatchesAnyAlias/collectMentionIdentifiers methods.
The base directory is canonicalized via toRealPath before walking, so the
walked files carry the symlink-resolved prefix. The PathMatcher was built
from the literal pattern, so a symlinked base never matched and files were
silently dropped. Rebuild the glob against the resolved scan root, escaping
glob metacharacters in the base so a real directory name containing */?/{}/[]
is treated literally.
The #254 fix changed resolveConventionPath to {name}-{hashCode} and folded
hyphens to underscores, which re-pathed every existing skill (browser-cdp ->
browser_cdp-<hash>) with no migration, orphaning already-created workspaces and
breaking SkillWorkspaceManagerApplyBundleTest. Drop the hash suffix and keep
hyphens: the bare Unicode-preserving sanitized name already prevents the
non-ASCII collision (distinct CJK names map to distinct dirs) and leaves ASCII
kebab-case paths identical to the legacy scheme. Add path regression tests.
LLMs routinely emit malformed Markdown (missing heading spaces, glued `---`, unaligned table pipes) that prompt rules cannot reliably prevent. Add a zero-token, regex-only MarkdownNormalizer applied on the FinalAnswerNode convergence path before persistence / channel delivery. It is code-fence aware, idempotent, and conservative (em-dash `---`, `#5`-style refs, stray prose pipes are left untouched). RETURN_DIRECT verbatim output and approval-wait paths return earlier and are unaffected.
Closes#274
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.
Agents now have a per-agent primary wiki KB stored on
mate_agent.primary_kb_id. KBs remain workspace-shared — selecting one in
the agent editor only chooses the default wiki target for that agent, it
does not change the KB's ownership or visibility.
Backend
- AgentEntity: add primary_kb_id field (FieldStrategy.ALWAYS so the UI
can clear it back to "no primary")
- AgentController#update: switch body to Map<String, Object> so we can
tell "field missing" apart from "explicit null" via containsKey, then
convertValue back to AgentEntity
- WikiKnowledgeBaseService:
- new resolvePrimaryKb(agentId): prefers agent.primary_kb_id when it
points to a workspace-visible KB; falls back to legacy
kb.agent_id marker, then to most-recently-updated workspace KB
- listByAgentId now returns the full workspace set (KBs are
workspace-shared under the new model)
- update(id, name, description) no longer touches agent_id
- WikiController: new GET /knowledge-bases/bindable for the UI picker;
PUT /knowledge-bases/{id} no longer reads agentId
- WikiKnowledgeBaseEntity: add FieldStrategy.ALWAYS on embeddingModelId
and configContent so explicit nulls actually unbind/clear instead of
being silently skipped by MyBatis-Plus's NOT_NULL default
- Migrations V129 (H2 + MySQL): add primary_kb_id column + index, backfill
from legacy kb.agent_id, MySQL uses INFORMATION_SCHEMA guard +
PREPARE/EXECUTE for idempotency
- WikiKnowledgeBaseServiceTest: 13 cases, all passing
Frontend
- Agents.vue: new "Knowledge Base" tab, radio-select bindable KBs
- API: listBindableKBs() + Agent.primaryKbId typed string | number | null
- IDs handled as strings throughout (Snowflake-safe)
- i18n keys for the new tab in zh-CN and en-US
Some OpenAI-compatible providers (LM Studio's built-in server, certain
strict-mode vLLM / SGLang deployments) reject 400 "System message must
be at the beginning" when SystemMessages appear after user / assistant
/ tool messages. The reasoning loop currently emits four SystemMessage
segments — main prompt at index 0, skill catalog inserted at index 1,
progress-ledger snapshot and stale-reminder appended at the end of
nonHistoryPrefix after the runtime-context UserMessage. The latter two
violate the strict shape, so conversations on LM Studio 400 on the
first turn (reported in #218).
Add MessageNormalizer: collects every SystemMessage in the outbound
prompt regardless of position, joins their text with a blank-line
separator, and emits a single SystemMessage at index 0. Non-system
messages keep their relative order, so AssistantMessage(tool_calls) ↔
ToolResponseMessage adjacency is preserved verbatim (required by strict
pair validators).
Wire it into doStreamCall as the first pre-egress step so every node
(reasoning, step-execution, summarizing, plan-generation, limit-exceeded)
inherits the fix without per-node changes, and any future node that
emits multiple SystemMessages stays compliant.
The transformation is semantically equivalent on permissive providers
(OpenAI, DashScope, Ollama, DeepSeek, Kimi, Doubao, GLM) — the merged
token sequence matches what they would have seen across N SystemMessages
— and safe on non-OpenAI protocols (Anthropic, Vertex / Gemini), whose
adapters already extract SystemMessages into a top-level system field
and receive an identical payload.
Kill switch: -Dmateclaw.llm.message-normalizer.enabled=false reverts to
the prior behavior for emergency rollback.
Tests: 11 unit tests on MessageNormalizer cover empty / no-system /
canonical / mid-list / tail / blanks / tool-pair preservation / Prompt
option-reference preservation / kill switch. 1 wiring test pins the
call site in doStreamCall. Full vip.mate.agent.** suite (504 tests)
stays green.
Closes#218.
1. Relative parent traversal in shell commands (HIGH)
validateShellCommand only scanned absolute path tokens, so commands
like `cat ../mateclaw/CLAUDE.md`, `cd .. && cat foo`, or
`ln -sf ../bar breakout` had no absolute path to trip the check.
From a workspace cwd that's a real escape — `..` segments resolve
against the JVM cwd at file-tool time and reach anywhere the user
can read.
Add a second pass: any token containing `..` as a path segment is
resolved against the workspace root via root.resolve(token).
normalize(); reject when the result falls outside. In-workspace
traversal like `subdir/../sibling` normalizes back inside and
passes. Identifiers without slashes (e.g. version strings with
`1.2..3`) are not treated as paths.
2. Shell validation and process working directory used different
context sources (MEDIUM)
execute_shell_command validated with the explicit ToolContext, but
buildShellProcess called WorkspacePathGuard.getWorkingDirectory()
(no-arg), which only sees the ThreadLocal fallback. Today the
ToolExecutionExecutor sets both so the discrepancy is latent, but
a future direct Spring AI invocation passing only ToolContext would
validate against one basePath and exec against another. Thread ctx
through buildShellProcess and call getWorkingDirectory(ctx) so
validation and execution agree on a single source of truth.
3. Absolute agent override could disable workspace scoping (MEDIUM)
resolveAgentBasePath accepted an absolute override verbatim, even
when it pointed outside the workspace root. An admin (or any
account with agent-edit permission) could set workspaceBasePath="/"
or another team's repo and bypass workspace boundaries entirely.
When a workspace has its own basePath, require absolute overrides
to sit underneath it. The caller in build() catches the rejection,
logs WARN, and falls back to the workspace basePath so chat stays
available rather than crashing agent construction. When the
workspace has no basePath there's no boundary to enforce, so legacy
behavior is preserved.
Test coverage: WorkspacePathGuardShellTest grows from 17 to 23 (six
new cases for `cd ..`, relative parent traversal, relative symlink
escape, deeper traversal, in-workspace normalization, and the
identifier false-positive guard). AgentGraphBuilderBasePathResolutionTest
grows from 7 to 10 (three new cases for in-workspace absolute,
outside-workspace absolute rejection, and no-workspace legacy
behavior). All 45 sandbox-area tests pass with no regressions.
Closes#162
require_mention=true previously degraded to a no-op when botPrefix was unset:
shouldProcess() returned true for all messages and checkAccess() fell through
unconditionally, so any group message would be answered — including ones where
the @mention targeted another user.
FeishuChannelAdapter now consults the Feishu SDK's mentions field directly:
- WebSocket: read EventMessage.getMentions(); webhook: read mentions[] from the
JSON payload. In both paths each mention's id.open_id is compared against the
bot's own open_id.
- Bot open_id is fetched lazily via /open-apis/bot/v3/info and cached on the
adapter instance. If the call fails the message is allowed through, matching
the previous behaviour.
- The require_mention gate is applied at the top of handleFeishuMessage so 1:1
chats are unaffected.
Tests: 15 unit cases covering null/empty inputs, bot mentioned, only-other
mentioned, bot among multiple mentions, and malformed payloads.
