The PostgreSQL migration test had the same hardcoded 0005 head
assertion as the SQLite one; resolve the actual head from the Alembic
ScriptDirectory so 0006 (and future migrations) don't break it.
CI follow-up to the local/remote MCP work:
- Apply ruff format to provider/tools/loaders/mcp.py and the 0006
normalize-remote-mode migration (Lint job failed on formatting).
- test_migrations.py hardcoded the head revision as 0005_*, which broke
once 0006 landed. Resolve the actual head from the Alembic
ScriptDirectory so future migrations don't require editing the test.
Two unrelated frontend fixes:
- LanguageSelector mounts each time the sidebar account dropdown opens and
unconditionally called i18n.changeLanguage() on mount, emitting a
languageChanged event even when the language was unchanged. That handed
every useTranslation() consumer a fresh `t` reference, re-running effects
keyed on `t` (e.g. the plugins page system-status fetch) and surfacing as
a page "refresh". Guard the call so it only fires on an actual change.
- Plugin logs auto-refresh control changed from a toggle Button to a
Switch + Label; the on/off button i18n keys are replaced by a single
static logsAutoRefresh label across all 8 locales.
Port the Space marketplace recommendation carousel UX into the in-app
add-extension page: a 10s auto-advance driven by a smooth countdown ring
that doubles as a pause/resume toggle, and manual prev/next now reset the
countdown. Adds market.recommendation.{pause,resume} across 8 locales.
Replace fixed grid-cols breakpoints (which forced up to 4 narrow cards on
wide screens) with auto-fill columns and a 24rem minimum card width on
both the main market grid and the featured recommendation rows. The
featured rows already measure real column count via ResizeObserver, so
pagination adapts automatically.
Replace the three-way transport choice (stdio / sse / httpstream) for
connecting LangBot to external MCP servers with two modes: local (stdio)
and remote. Remote servers only require a URL; the runtime auto-detects
the transport (tries Streamable HTTP, falls back to SSE).
- provider/tools/loaders/mcp.py: add _init_remote_server() with
Streamable-HTTP-then-SSE probing; dispatch 'remote' lifecycle, keep
legacy sse/http branches for back-compat
- plugin/connector.py: normalize legacy http/sse marketplace modes to
'remote' on Space install, preserving connection params
- entity/persistence/mcp.py: document mode as stdio, remote (legacy: sse, http)
- alembic 0006: idempotent data migration mapping existing sse/http rows
to remote (downgrade maps back to http)
- api/http/service/mcp.py: stash runtime_info (status + tool list) into
test task metadata before tearing down the temp session
- web: collapse mode dropdown to local/remote, remote renders URL+timeout
only, edit auto-maps legacy sse/http to remote; show tools after test in
create mode from task metadata; remove dead plugins/mcp-server/ tree
- i18n: local/remote labels + mode/url hints across 8 locales
The final runtime image (used by langbot/plugin_runtime/box) shipped uv and
docker-cli but no node, so any npx-launched stdio MCP server inside the box
sandbox exited with return_code=127 (command not found). Install Node.js 22
LTS via NodeSource; node/npx land in /usr/bin, which is on the nsjail
read-only mount whitelist (_READONLY_SYSTEM_MOUNTS) and is bound into the
sandbox chroot automatically.
- monitoring: stack filters full-width, scrollable tab bar, reduce card/content padding on mobile
- models dialog: provider form modal no longer overflows viewport on small screens; shared panel body padding shrinks on mobile
- plugin logs: reduce horizontal padding on mobile
* feat(api): support global API key from config.yaml (api.global_api_key)
Accept a config-defined global API key anywhere a web-UI key is accepted
(X-API-Key / Bearer), with no login session and no DB record. Useful for
automated deployments and AI agents (HTTP API + MCP). Defaults to empty
(disabled); does not require the lbk_ prefix.
- templates/config.yaml: add api.global_api_key with security notes
- service/apikey.py: verify_api_key checks global key first (constant-time)
- docs/API_KEY_AUTH.md: document the global key + security guidance
- tests: cover global-key match, prefix-free, fallback-to-db, disabled
* feat(mcp): expose LangBot management as an MCP server at /mcp
Add an MCP (Model Context Protocol) server so external AI agents can manage a
LangBot instance. Reuses the same API-key auth as the HTTP API (including the
config.yaml global API key).
- pkg/api/mcp/server.py: FastMCP server wrapping the service layer; 21 curated
tools across system/bots/pipelines/models/knowledge/mcp-servers/skills
- pkg/api/mcp/mount.py: ASGI dispatcher fronting Quart; authenticates /mcp
requests with an API key, runs the streamable-HTTP session manager lifespan
- controller/main.py: serve the wrapped ASGI app via hypercorn (was run_task)
- web: new 'MCP' tab in the API integration dialog showing endpoint, auth, and
client config; i18n for 8 locales
- tests/manual/mcp_smoke.py: e2e check (401 unauth, list tools, call tools)
Tool surface is intentionally curated (not all ~25 route groups) to keep the
agent surface small, safe, and maintainable. Extend deliberately.
* feat(skills): add in-repo skills/ as the single source of truth
Migrate the agent skills + QA/e2e test harness from the (now archived)
langbot-app/langbot-skills repo into LangBot/skills/, and add four new skills.
Migrated:
- langbot-plugin-dev, langbot-testing (e2e), langbot-env-setup,
langbot-skills-maintenance, langbot-eba-adapter-dev
- the bin/lbs CLI (src/, test/, scripts/, schemas/, qa-agent-docs/)
New:
- langbot-dev core backend + web development
- langbot-deploy Docker/K8s deployment + config.yaml + global API key
- langbot-mcp-ops operating the LangBot MCP server (/mcp)
- langbot-space-ops operating the Space marketplace MCP server
- src/cli.ts repoRoot(): recognize the skills assets root (skills.index.json +
bin/lbs) so the CLI works when nested inside the LangBot repo
- README.md: unified skill catalog; skills.index.json regenerated
Parity with source verified: bin/lbs validate + node test suite match the
source repo (only the uncommitted .lbpkg build-artifact fixture differs).
* docs(agents): document agent-facing surfaces + API/MCP/skills sync rule
* docs(readme): add 'Built for AI Agents' section across all locales
Highlight MCP server, in-repo skills (single source of truth), AGENTS.md
sync rule, and llms.txt. Cross-link LangBot Space MCP marketplace.
* style(mcp): fix ruff format + prettier lint in MCP server and API panel
* style(web): prettier format MCP i18n locale entries
* docs(skills): note MCP instance control in dev/testing skills
All development-guidance skills now point to the LangBot instance MCP
server (/mcp) and the Space marketplace MCP server, reusing API keys.
Place the populated management-dashboard screenshot (already used on the
docs homepage) near the top of every localized README — right after the
opening "What is LangBot?" paragraph and before the Key Capabilities
list. The image ships in res/ so it resolves on GitHub, PyPI and mirrors
without hotlinking the docs site. Alt text is localized per language and
carries product + feature keywords for SEO.
Covers: en, zh-CN, zh-TW, ja, es, fr, ko, ru, vi.
Update _normalize_stream_tool_calls to preserve provider_specific_fields
(including thought_signature) from streaming tool call chunks. Also preserve
provider_specific_fields from delta in invoke_llm_stream.
This ensures Gemini's thought_signature is round-tripped correctly:
1. LiteLLM extracts thought_signature from Gemini response
2. It's preserved in Message/ToolCall entities (via SDK changes)
3. _convert_messages includes it in the next request
Also add unit tests for provider_specific_fields round-tripping.
Fixes: langbot-app/LangBot#1899
Bumps the pinned langbot-plugin SDK from 0.4.4 to 0.4.5, which adds
`provider_specific_fields` to the Message/ToolCall entities. This is the
SDK dependency required by the Gemini thought_signature fix (#1899, #2265).
The lock update is scoped to langbot-plugin only. pylibseekdb is deliberately
held at 1.1.0: a free re-resolve drifts it to 1.3.0 (pyseekdb==1.1.0.post3
has no upper bound on it), which is out of scope here and should be handled
in a separate dependency-upgrade PR.
Adding a Kimi/Moonshot provider failed model scanning out of the box for
CN-region API keys: the single preset defaulted its base URL to the
global endpoint `https://api.moonshot.ai/v1`, but CN-issued keys are only
valid against `https://api.moonshot.cn/v1`, so scanning returned
`401 Invalid Authentication`. Flipping the default would just move the
breakage to international keys, since the base_url field is plain
free-text and either region is equally common.
Instead, offer two clearly labelled presets, mirroring how the Lark
adapter exposes feishu.cn vs larksuite.com:
- `moonshot-chat-completions` -> "Moonshot / Kimi (Global · api.moonshot.ai)"
- `moonshot-cn-chat-completions` -> "Moonshot / Kimi (China · api.moonshot.cn)"
The existing component name is kept unchanged so provider rows already in
the DB keep resolving; only its display label is clarified. Both presets
keep base_url as a free-text field, so users behind a proxy / one-api
gateway can still enter a custom endpoint. Both carry the same `kimi`
search aliases so either shows up when searching.
Fixes#2232
Make the quick-filter tag pills more compact: h-8 -> h-7, default text
-> text-xs with px-2.5, gap-2 -> gap-1.5, and the selected-X icon
h-3.5 -> h-3. Keeps the single-row horizontal-scroll layout.
With many category tags the quick-filter row used `sm:flex-wrap` on
desktop, so once tags overflowed the available width they wrapped onto a
second, center-aligned line — leaving an orphan tag floating under the
row (looked broken and only gets worse as more tags are added).
Make the row a single, never-wrapping line that scrolls horizontally at
every breakpoint, left-aligned, with the scrollbar hidden and a subtle
right-edge fade to signal there's more to scroll. Adds a reusable
`.scrollbar-hide` utility to global.css.
Ollama's OpenAI-compatible streaming endpoint emits a tool-call delta
carrying an `index` and a `function` payload but never an OpenAI-style
`id`. `_normalize_stream_tool_calls` dropped any tool call without an
`id`, so a tool-only turn yielded neither content nor a tool call: the
stream "completed" with 0 chars, the tool never ran, and the chat
appeared stuck. Models on standard OpenAI APIs (e.g. SiliconFlow) were
unaffected because they always send a `call_...` id.
Synthesize a stable per-index id (`call_<index>`) when the provider
omits one but a function name is present. Providers that do send ids
keep theirs, and parallel id-less calls keep distinct ids.
Adds regression tests for the single and multi id-less tool-call cases.
Fixes#2261
Outbound attachment collection (pipeline wrapper) runs on every turn
regardless of inbound files, but the agent was only told the per-query
outbox path inside the inbound-attachment note in LocalAgentRunner. So on
pure-generation turns (e.g. "generate a QR code"/chart/mermaid where the
user sent no file), the agent never learned the outbox path or the
query_id, wrote the generated file nowhere deliverable, and it was
silently dropped.
Move the outbox instruction into BoxService.get_system_guidance(query_id),
which is injected as a system message on every turn the exec tool is
available. The inbound note keeps its own (now redundant but harmless)
outbox line. Add unit tests asserting the outbox path is present with a
query_id and absent without one.
The agent attachment outbox is written by the sandbox container as root over
the bind-mount, so the LangBot host process (non-root) cannot rmtree those
files — the host-side delete failed silently and stale files were re-collected
on a later turn that reused the same query_id (the query_id counter resets to 0
on every restart).
- BoxService.initialize now purges leftover inbox/outbox after the runtime is
available: host rmtree first, then an in-sandbox 'rm -rf' via exec for any
root-owned survivors.
- _clear_outbox now falls back to exec when the host delete leaves root-owned
files behind, instead of silently failing.
- collect_outbound_attachments clears the outbox unconditionally (even on an
empty collection) so a reused query_id never inherits stale files.
- Tests: startup purge (host-owned + root-owned exec fallback + no-workspace
noop) and empty-collection-still-clears.
* feat(box): bidirectional attachment transfer for sandbox
Materialize inbound attachments into the sandbox workspace so agents can
process user-sent files, and collect agent-produced files from the outbox
to attach them back to the reply.
- box(service): add materialize_inbound_attachments / collect_outbound
attachments. Prefer direct host-filesystem read/write on the bind-mounted
workspace (no size limit), falling back to chunked exec only for
non-shared backends (e2b/remote). Clear per-query inbox/outbox dirs at
turn start to avoid query_id-reuse collisions.
- provider(localagent): inject inbound attachment descriptors into the
sandbox and append a system note telling the agent the inbox/outbox paths.
- pipeline(wrapper): collect outbox files on the final stream chunk and
append them as attachment components to the response chain.
- web(debug-dialog): render File components with a download link when
base64/url is present; add base64/path fields to the File entity.
- tests: cover inbound/outbound, large-file transfer without truncation,
and stale-dir clearing (86 passing).
* feat(box): support voice/file attachment round-trip end-to-end
Extends the bidirectional attachment transfer to audio and arbitrary files
through the real webchat UI, and fixes the model-payload errors that
non-image attachments triggered.
- platform(websocket_adapter): resolve Voice/File component storage keys to
base64 (previously only Image), so audio/documents reach the sandbox inbox.
- web(debug-dialog): accept audio/* and any file in the uploader (was
image-only), classify by mimetype, upload Voice/File via the documents
endpoint, and render non-image staged attachments as a chip.
- provider(litellmchat): drop non-image file parts (file_base64 / file_url)
when building the OpenAI/LiteLLM payload. These come from Voice/File
attachments — including ones replayed from conversation history — and the
agent reads their bytes from the sandbox, not the model. Without this the
provider rejects the request: 'invalid content type=file_base64'.
- provider(localagent): also strip those parts from the current user message
alongside the sandbox-path note (model-facing clarity; the requester is the
real safety net for history).
- tests: cover the requester strip/keep behavior (file dropped, image kept and
reshaped to image_url, mixed history, plain-string content).
* test(box): cover inbound/outbound attachment helpers; fix ruff format
- ruff format localagent.py (CI ruff format --check was failing)
- add unit tests for ResponseWrapper outbound-attachment helpers (wrapper.py 78%->98%)
- add unit tests for LocalAgentRunner._inject_inbound_attachments
- add unit tests for WebSocketAdapter._process_image_components (0%->covered)
Lifts PR patch coverage from 68.97% to ~88% (>75% target).
- Add PanelToolbar/PanelBody primitives so all four settings tabs share
the same top-toolbar + scrollable-body rhythm under the unified header.
- API panel: drop the heavy gray shadowed TabsList; move the create
action into the toolbar next to the tabs, lighten per-tab hints.
- Storage panel: reuse PanelToolbar for the generated-at/refresh bar.
- Account panel: wrap content in PanelBody for consistent padding.
- Models panel: keep the pinned LangBot Models (Space) card at the very
top, above the add-custom-provider row (intentional pin), using
PanelBody instead of a top toolbar.
- Add a shared section header (icon + title + description) with right
padding so the dialog close X no longer overlaps panel content, and
every tab now shares the same top layout for a consistent look.
- Shorten inner sidebar nav labels (Models/API/Storage/Account) via new
settingsDialog.nav.* i18n keys across all 8 locales.
- Add common.apiIntegrationDescription and account.settingsDescription
for the new header.
The model-selector in dynamic forms (pipeline / knowledge base settings)
still opened the old standalone ModelsDialog. Point it at the unified
SettingsDialog (section pinned to models) and delete the now-unused
ModelsDialog wrapper so only the new dialog remains.
es-ES pipelines, th-TH bots+pipelines and vi-VN pipelines were left in
English in the sidebar. Translate them: es Flujos, th บอท/ไปป์ไลน์,
vi Quy trình.
Pin the dialog to a fixed 80vh (cap 800px) so switching sections no
longer resizes it; panels scroll their own content internally. Override
the SidebarProvider wrapper's default h-svh with h-full so both columns
fill the dialog height. Narrow the inner settings sidebar to w-44.
Merge API integration, model settings, account settings and storage
analysis into one SettingsDialog with a shadcn inner sidebar for
section switching. Preserve existing ?action= query-param deep links
(showModelSettings / showAccountSettings / showApiIntegrationSettings /
showStorageAnalysis) by mapping each to a section. Extract reusable
panels and keep ModelsDialog as a thin wrapper for the dynamic-form
model picker.
Load the instance creation timestamp from data/labels/instance_id.json
(backfilling+persisting it for instances created before the field existed),
expose it as constants.instance_create_ts, and include it in the heartbeat
payload so Space can anchor Time-To-Value / onboarding analytics on real
install time rather than first-heartbeat.
Verified: py_compile, ruff, pytest tests/unit_tests/telemetry/ (37 passed).
Add a Logs tab beside Documentation on the plugin detail page, showing
the output a plugin prints through the standard Python logger (per the
wiki style guide). Logs are captured from the plugin's stderr by the
plugin runtime and fetched on demand.
- Bump langbot-plugin pin to 0.4.4 (adds GET_PLUGIN_LOGS action)
- plugin_connector/handler: get_plugin_logs RPC client
- HTTP route GET /api/v1/plugins/<author>/<name>/logs (limit + level)
- Frontend: wrap detail right panel in Docs/Logs Tabs; PluginLogs
component with level filter, manual + 3s auto refresh, bottom-follow
- i18n: 7 new keys across all 8 locales
- i18n: add models.searchProviders, monitoring.tabs.tokens and the
monitoring.tokens.* block (incl. bucket.hour/day) to es-ES, ja-JP,
ru-RU, th-TH, vi-VN and zh-Hant, which were missing them and failed
the Check i18n Keys CI.
- api: generate_jwt_token built 'exp' from a naive datetime.now(), which
PyJWT validates against UTC — in any timezone ahead of UTC the token
was already expired at issue time. Use datetime.now(timezone.utc).
The legacy pkg/persistence/migrations (DBMigration / dbmXXX) system now
coexists with Alembic but accepts no new migrations — all new schema
changes go through Alembic.
- remove dbm026_llm_model_context_length (superseded by Alembic
0005_add_llm_context_length, which makes the identical change)
- cap required_database_version at 25 (legacy chain dbm001-025 kept
read-only to upgrade pre-existing 3.x DBs to the Alembic baseline)
- add migrations/README.md documenting the freeze
- document the Alembic-only policy and revision-id/idempotency rules in
AGENTS.md
RockChinQ