Poll Plugin Runtime and Box Runtime status every 30 seconds so the
dashboard reflects disconnections without a manual page refresh.
Also re-fetch when the popover is opened for immediate feedback.
Record Box connector error in BoxService and expose it as
'connector_error' in GET /api/v1/box/status when unavailable.
Display error messages in the dashboard System Status popover
for both Plugin Runtime (plugin_connector_error) and Box Runtime
(connector_error) when they are disconnected.
Replace the separate two-card row with a single compact 'System Status'
card placed as the 5th column in the metrics grid. Shows green/red dots
for Plugin Runtime and Box Runtime. Click to expand a popover with
connection details (backend, profile, sandbox count).
Add SystemStatusCards component to the monitoring dashboard showing
Plugin Runtime and Box Runtime connection status with details (backend,
profile, sandbox count). Remove all Box/session status from the plugin
page debug popover — it now only shows debug URL and key.
Includes i18n for all 8 supported languages.
Display sandbox count and a detailed list of active sessions including
session ID, image, backend, resources (CPU/memory), network mode, and
last used time. Fetched from GET /api/v1/box/sessions in parallel.
Includes i18n for all 8 supported languages.
The active_sessions count reflects transient sandbox containers that
expire after 5 minutes of inactivity, making it misleading in the UI.
Keep only connection status, backend, profile, and error count.
Add Box status section to the debug info popover on the plugin list page,
displaying connection status, backend info, profile, active sessions,
and recent error count. Fetched from GET /api/v1/box/status in parallel
with plugin debug info. Includes i18n for all 8 supported languages.
The PluginInstallTaskProvider was unconditionally polling
getAsyncTasks every 3s on all /home/* routes. Now it only
syncs once on mount and starts periodic polling only when
there are active (non-terminal) install tasks.
- Improve backend connection error display with bordered container,
inline icon, and better visual hierarchy
- Extract actual error message from axios response object
- Add Terms of Service link (https://langbot.app/terms) to login footer
- Add termsOfService i18n key for all 7 locales
When switching runner (e.g. local-agent → n8n), the newly mounted stage's
first emit would re-capture the saved snapshot, erasing the dirty state
caused by the runner change. The save button would incorrectly go dim.
- Skip snapshot re-capture in handleDynamicFormEmit when form is already dirty
- Add mount-time emit to N8nAuthFormComponent (matching DynamicFormComponent)
- Use stable onSubmitRef to prevent useEffect subscription churn
- Add previousInitialValues guard to prevent initialValues echo loops
* feat(skills): add Agent Skills management system
Implement comprehensive skills management feature inspired by agentskills spec:
Backend:
- Add Skill and SkillPipelineBinding database entities
- Add database migration (dbm018) for skills tables
- Implement SkillManager for skill loading, matching, and resolution
- Implement SkillService for CRUD operations
- Add skills API endpoints for skill and pipeline binding management
- Integrate skill index injection into pipeline preprocessor
- Add skill activation detection in LocalAgentRunner
Frontend:
- Add Skills page with listing, search, and type filter
- Add SkillDetailDialog for create/edit with preview
- Add SkillCard and SkillForm components
- Add skills API methods to BackendClient
- Add skills entry to sidebar navigation
- Add i18n translations (en-US, zh-Hans)
Features:
- Support skill and workflow types
- Sub-skill composition via {{INVOKE_SKILL: name}} syntax
- Progressive disclosure (index in prompt, full instructions on activation)
- Pipeline-specific skill bindings with priority
* fix: resolve cherry-pick conflicts for agentskills onto sandbox
- Remove non-existent external_kb service import
- Add skill_mgr mock to localagent sandbox_exec tests
- Keep database version at 24 (sandbox branch's latest)
* feat(skills): upgrade to package-backed skills with sandbox execution
Evolve the skills system from pure prompt-based to package-backed with
sandbox tool execution support:
- Add source_type/package_root/entry_file/skill_tools fields to Skill entity
- SkillManager loads SKILL.md from local package directories
- SkillToolLoader as 4th dispatch layer in ToolManager (query-scoped)
- LocalAgent injects skill tools into use_funcs on skill activation
- BoxService.execute_skill_tool() runs scripts in sandbox (ro mount, env params)
- Skill tool names auto-namespaced as skill__{skill}__{tool}
- API validation for package_root allowlist and entry path traversal
- Frontend source_type toggle, package_root input, skill_tools editor
- Migration renumbered to 025 with ALTER TABLE fallback for existing DBs
- Fix unclosed limitation section in i18n files
- Fix skills API methods misplaced outside BackendClient class
* fix: test info
* feat(skills): switch skills to package-backed storage and add import tooling
- skills 从 inline/package 双轨收敛成 package-first
- instructions 改为写入并读取 SKILL.md
- 新增本地目录扫描和 GitHub 安装 skill
- 前端把 skills 整合进 plugins 页，新增 SkillsComponent 和 GitHub 导入弹窗
- skill form 去掉 source_type / type 筛选，改成目录扫描驱动
- Box skill tool 挂载模式从 ro 改成 rw
- 测试和中英文文案同步更新
* feat: simplify langbot skill create and import
* refactor(skills): clean up legacy skill API and harden activation flow
* refactor(skills): remove skill dependency expansion and add skill_get
* fix: lint
* fix: delete
* fix(skills): align tool manager loader initialization
* refactor: remove sandbox execute skill
* fix(skills): hide activation markers and isolate skill activation flow
* refactor(skills): switch skill model to filesystem-backed packages
* refactor(skills): switch skill model to filesystem-backed packages
* refactor(skills): unify runtime skill access around filesystem paths
* refactor(skills): unify runtime skill access around filesystem paths
* feat(skills): align rw package design and fix skill activation, visibility, and lint issues
* refactor(skills): replace rich authoring API with import/reload flow and update
Box design doc
* feat(box): add sandbox_exec tool loop for local-agent calculations
* feat(box): add host workspace mounting and sandbox_exec guidance
* feat(box): add BoxProfile with resource limits and improved output truncation
- Implement head+tail output truncation (60/40 split) so LLM sees both
beginning and final results; add streaming byte-limited reads in backend
to prevent unbounded memory usage (_MAX_RAW_OUTPUT_BYTES = 1MB)
- Define BoxProfile model with locked fields and max_timeout_sec clamping
- Add four built-in profiles: default, offline_readonly, network_basic,
network_extended with differentiated resource and security constraints
- Add resource limit fields to BoxSpec (cpus, memory_mb, pids_limit,
read_only_rootfs) and pass corresponding container CLI flags
(--cpus, --memory, --pids-limit, --read-only, --tmpfs)
- Profile loaded from config (box.profile), applied in service layer
before BoxSpec validation; locked fields cannot be overridden by
tool-call parameters
* feat(box): add obs
* refactor(box): unify box service lifecycle and local runtime
management
* refactor(box): remove legacy in-process runtime code and clean up smells
After the architecture settled on always using an independent Box Runtime
service, several pieces of compatibility code and design shortcuts were
left behind. This commit cleans them up:
- Remove `LocalBoxRuntimeClient` and `create_box_runtime_client` from
production code (moved to test-only helper).
- Remove unused `_clip_bytes` method from backend.
- Remove `__langbot_session_placeholder__` hack by making `BoxSpec.cmd`
default to empty and validating non-empty only in `runtime.execute()`.
- Extract `get_box_config()` helper to eliminate 5× duplicated config
access boilerplate.
- Remove `session_id`/`host_path`/`host_path_mode` from the LLM-facing
tool schema to enforce request-scoped session isolation.
- Fix dual shutdown path: `NativeToolLoader.shutdown()` no longer calls
`box_service.shutdown()` (handled by `Application.dispose()`).
- Simplify `_assert_session_compatible` with a loop.
- Inline client creation in `BoxRuntimeConnector`.
- Remove redundant `BOX__RUNTIME_URL` env var from docker-compose
(auto-detected by code).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat(box/mcp): integrate MCP stdio with Box sandbox — auto-isolation, dep install, security
## Summary
When Podman/Docker is available, all stdio-mode MCP servers now automatically
run inside Box containers with dependency installation, path rewriting, and
lifecycle management. When no container runtime exists, LangBot starts normally
and stdio MCP falls back to host-direct execution.
## What changed
### MCP stdio → Box integration (mcp.py)
- Add `MCPServerBoxConfig` pydantic model for structured box configuration
with validation and defaults (network, host_path_mode, timeouts, resources)
- Auto-infer `host_path` from command/args with venv detection: recognizes
`.venv/bin/python` patterns and walks up to the project root
- Rewrite host paths to container `/workspace` paths transparently
- Replace venv python commands with container-native `python`
- Auto-detect `pyproject.toml`/`setup.py`/`requirements.txt` and run
`pip install` inside the container before starting the MCP server
- Copy project to `/tmp` before install to handle read-only mounts
- Add retry with exponential backoff (3 retries, 2s/4s/8s delays)
- Add Box managed process health monitoring (poll every 5s)
- Fix session leak: `_cleanup_box_stdio_session()` now runs in `finally`
block of `_lifecycle_loop`, covering all exit paths
- Fix retry logic: `_ready_event` is only set after all retries exhaust
or on success, not on first failure
- Enhance `get_runtime_info_dict()` with `box_session_id` and `box_enabled`
### Box security (security.py — new)
- `validate_sandbox_security()` blocks dangerous host paths:
`/etc`, `/proc`, `/sys`, `/dev`, `/root`, `/boot`, `/run`,
docker.sock, podman socket
- Called at the start of `CLISandboxBackend.start_session()`
### Box models (models.py)
- Add `BoxHostMountMode.NONE` — skips volume mount entirely
- Adjust `validate_host_mount_consistency` to allow arbitrary workdir
when `host_path_mode=NONE`
### Box backend (backend.py)
- Add `validate_sandbox_security()` call in `start_session()`
- Add `langbot.box.config_hash` label on containers for drift detection
- Handle `BoxHostMountMode.NONE` — skip `-v` mount arg
- Add `cleanup_orphaned_containers()` to base class (no-op default) and
CLI implementation (single batched `rm -f` command)
### Box runtime (runtime.py)
- Call `cleanup_orphaned_containers()` during `initialize()` to remove
lingering containers from previous runs
### Box service (service.py)
- Graceful degradation: `initialize()` catches runtime errors and sets
`available=False` instead of crashing LangBot startup
- Add `available` property and guard on `execute_sandbox_tool()`
- Add `skip_host_mount_validation` parameter to `build_spec()` and
`create_session()` — MCP paths are admin-configured and trusted,
bypassing `allowed_host_mount_roots` restrictions meant for
LLM-generated sandbox_exec commands
### Default behavior
- stdio MCP servers automatically use Box when `box_service.available`
is True (Podman/Docker detected); no explicit `box` config needed
- When no container runtime exists, falls back to host-direct stdio
- MCP Box defaults: `network=on` (for pip install), `read_only_rootfs=false`
(for site-packages), `host_path_mode=ro`, `startup_timeout=120s`
### Tests
- `test_box_security.py`: blocked paths, safe paths, subpath rejection
- `test_mcp_box_integration.py`: config model, path rewriting, venv
unwrap, host_path inference, payload building, runtime info, box
availability check
- `test_box_service.py`: `BoxHostMountMode.NONE` validation tests
* feat(box/mcp): instance-based orphan cleanup, error classification, session API, and integration tests
## Changes
### Precise orphan container cleanup
- Runtime generates a unique instance_id on startup
- Every container gets a `langbot.box.instance_id` label
- `cleanup_orphaned_containers()` only removes containers from
previous instances, preserving containers owned by the current one
- Containers from older versions (no label) are also cleaned up
- `cleanup_orphaned_containers` added to `BaseSandboxBackend` as
a no-op default method, removing hasattr duck-typing
### Fine-grained MCP error classification
- New `MCPSessionErrorPhase` enum with 7 phases: session_create,
dep_install, process_start, relay_connect, mcp_init, runtime,
tool_call
- Each phase in `_init_box_stdio_server()` sets the error phase
before re-raising, enabling precise failure diagnosis
- `retry_count` tracked across retry attempts
- `get_runtime_info_dict()` exposes `error_phase` and `retry_count`
### GET /v1/sessions/{id} API
- `BoxRuntime.get_session()` returns session details including
managed process info when present
- `handle_get_session` HTTP handler + route in server.py
- `BoxRuntimeClient.get_session()` abstract method + remote impl
### stdio defaults to Box when runtime is available
- `_uses_box_stdio()` checks `box_service.available` instead of
requiring explicit `box` key in server_config
- `BoxService.initialize()` catches runtime errors gracefully,
sets `available=False` instead of crashing LangBot startup
- When no container runtime exists, stdio MCP falls back to
host-direct execution
### Code quality (from /simplify review)
- Extracted `_VENV_DIRS` / `_VENV_BIN_DIRS` module-level constants
- Removed dead `_box_network_mode()` method and unused `bc` variable
- Fixed broken import `from ....box.models` → `from ...box.models`
- Cached `_resolve_host_path()` result — computed once, passed through
- Config hash now includes `host_path` field
- Batched orphan cleanup into single `rm -f` command
### Session leak fix
- `_cleanup_box_stdio_session()` now runs in `_lifecycle_loop`'s
finally block, covering all exit paths (normal shutdown, error,
retry, final failure)
### Integration tests
- 6 end-to-end tests covering managed process lifecycle, WebSocket
stdio bidirectional IO, session cleanup verification, single
session query, process exit detection, and orphan cleanup safety
* refactor: use rpc
* fix: import
* refactor(box): clean up sandbox subsystem code quality and efficiency
- Fix O(n²) stderr trimming in runtime.py with running length tracker
- Remove dead code: RESERVED_CONTAINER_PATHS, _subprocess_wait_task,
unused config_hash computation, unused imports
- Deduplicate connection callback in BoxRuntimeConnector, parse URL once
- Use enum comparison instead of stringly-typed spec.network.value check
- Replace manual _result_to_dict/_session_to_dict with model_dump()
- Cache NativeToolLoader tool definition and sandbox system guidance
- Extract _is_path_under() helper to eliminate duplicated path checks
- Import SANDBOX_EXEC_TOOL_NAME from native.py instead of redefining
- Add JSON startswith guard in logging_utils to skip futile json.loads
- Fix ruff lint errors (F401 unused imports, F841 unused variables)
* fix: ruff
* refactor(sandbox): keep box logic out of pipeline and localagent
- Move sandbox system-prompt guidance from LocalAgentRunner into
BoxService.get_system_guidance() so all box domain knowledge stays
in the box module.
- Remove standalone logging_utils.py; merge format_result_log() into
MessageHandler base class alongside cut_str().
- Strip sandbox-specific JSON parsing from log formatting; tool
results now use generic truncation.
- Revert TYPE_CHECKING changes in stage.py and runner.py that were
unrelated to this feature.
- Skip two test files affected by a pre-existing circular import
(runner ↔ app) until the import cycle is resolved in a separate PR.
* refactor(box): move box runtime to langbot-plugin-sdk
Extract self-contained box runtime modules (actions, backend, client,
errors, models, runtime, security, server) to langbot-plugin-sdk and
update all imports to use `langbot_plugin.box.*`. Keep only service
and
connector in LangBot core as they depend on the Application context.
- Update docker-compose to use `langbot_plugin.box.server` entry
point
- Update pyproject.toml to use local SDK via `tool.uv.sources`
- Remove migrated source files and their unit/integration tests
- Update remaining test imports to match new module paths
* fix: ruff
* fix(box): tighten sandbox exposure and restore box integration coverage
* refactor(types): remove quoted annotations under postponed evaluation
* chore(sandbox): move MCP loader changes to follow-up branch
* refactor(plugins): simplify GitHub install flow to default master archive
* revert(api): restore plugin GitHub import flow in plugins controller
* Improve data-root handling and skill install previews
* Add managed skill authoring tools for local agents
* Refactor the skills UI around sidebar detail pages
* Document why managed skill authoring tools bypass box
* fix: lint
* feat(web): refactor plugin/skill install flows and fix skills page
- Fix sidebar skill icon
- Add skills route and error page component
- Refactor plugin GitHub install from dialog modal to inline card
- Add skill install dropdown menu (create/upload/github) in sidebar
- Wire sidebar → skills page communication via pendingSkillInstallAction context
- Add i18n keys for error page and skill install actions
* fix(web): persist sidebar collapsible section open state on navigation
Sections opened via sub-item navigation now retain their expanded state
when the user switches to a different section, instead of collapsing
because the isActive fallback becomes false.
---------
Co-authored-by: youhuanghe <1051233107@qq.com>
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-authored-by: Junyan Qin <rockchinq@gmail.com>
* feat(provider): add rerank model management as a core model type
* feat(provider): add rerank support to existing requesters and new rerank providers
* feat(web): add rerank model management UI and pipeline config
* fix(provider): correct rerank support_type after verification
- Add rerank to OpenRouter (confirmed /api/v1/rerank endpoint)
- Remove rerank from Ollama (no native support, PR #7219 unmerged)
- Remove rerank from JiekouAI (no rerank docs found, URL path mismatch)
* fix(provider): remove alru_cache from model getters and add rerank param hints
* fix: resolve lint errors
- Remove unused alru_cache import from modelmgr.py
- Remove unused error_message variable in invoke_rerank
- Fix prettier formatting in frontend files
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
* fix: remove unused exception variable
- Change `except Exception as e:` to `except Exception:` since e is not used
- Fix prettier formatting in ProviderCard.tsx
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
* fix: apply ruff format
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
* feat(template): add rerank config fields to default pipeline config
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
* chore: remove PR.md
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
* fix(ui): remove duplicate rerank model form in AddModelPopover
The form was being rendered twice: once in TabsContent manual mode
and again in a separate conditional block for rerank tab.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
* feat(models): add provider model scanning
* fix: double close button
* feat: update plugin module
* fix(monitoring): WeChat Work feedback recording bugs (#2108)
* fix(monitoring): fix WeChat Work feedback recording bugs
- Fix feedback events silently dropped when stream session expires:
dispatch feedback handlers regardless of session availability
- Fix IntegrityError on repeated feedback (like→dislike) for same
message: implement UPSERT logic in record_feedback()
- Fix cancel feedback (type=3) not removing records: add delete logic
- Fix inaccurate_reasons validation error: convert int reason codes
to strings before creating FeedbackEvent (Pydantic expects List[str])
- Fix feedback timestamps 8 hours off in frontend: use parseUTCTimestamp
instead of new Date() for UTC timestamp parsing
- Fix StreamSessionManager.cleanup missing _feedback_index cleanup
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix(monitoring): apply ruff format to wecom feedback files
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: 6mvp6 <13727783693@163.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* feat: add feat for receive files in wecombot
* fix: ruff error
* fix: always show sidebar plus buttons on touch/mobile devices (#2115)
Agent-Logs-Url: https://github.com/langbot-app/LangBot/sessions/e27a4886-fbad-4a7a-8558-67a387852753
Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>
* fix: SPA fallback for all frontend routes, not just /home/*
After migrating from Next.js to Vite SPA, routes like /auth/space/callback
returned 404 because the static file server only had SPA fallback for /home/*.
Now all non-API routes fall back to index.html for React Router to handle.
* style: ruff format main.py
* feat: add marketplace link when no parser available for file upload
Links to /home/market?category=Parser, same pattern as knowledge engine selector.
* fix: lint error
* fix(user): allow password login and password change for Space accounts with local password set
Previously, Space accounts were unconditionally blocked from password login
and password change based on account_type. Now the check verifies whether
the user actually has a local password set, allowing Space users who have
set a local password to authenticate and change it normally.
* feat: add edition field to telemetry payload
Sends constants.edition (community/saas) with each telemetry event
so Space can distinguish between community and SaaS instances.
* style: ruff format telemetry.py
* fix(dingtalk): use voice recognition text instead of raw audio binary
When DingTalk sends a voice message to the bot, the callback JSON contains
a 'recognition' field with the speech-to-text result (powered by Qwen).
Previously, LangBot only extracted the 'downloadCode' to download the raw
audio binary and passed it as 'file_base64' to LLM APIs, which caused
400 errors since most models don't support this content type.
This patch:
- Extracts the 'recognition' field from DingTalk audio message content
- Uses it as plain text input to the LLM instead of raw audio
- Falls back to audio binary only when no recognition text is available
- Fixes duplicate text issue for audio messages with recognition
Fixes voice messages returning 'Request failed' on all LLM models.
* feat: integrate Alembic for database migrations
Replace manual if-sqlite/if-postgres branching with Alembic:
- Add alembic dependency
- Create programmatic alembic env (no CLI/alembic.ini needed)
- Support async engines via run_sync passthrough
- render_as_batch=True for SQLite ALTER TABLE compatibility
- Auto-stamp baseline on first run (existing DB at version 25)
- Run alembic upgrade head after legacy migrations
- Include sample migration showing schema + data migration patterns
- Add alembic dir to package-data for distribution
* ci: add migration test workflow for SQLite and PostgreSQL
Tests alembic upgrade on both databases:
- Stamp baseline on existing schema
- Upgrade to head
- Idempotent re-upgrade
- Fresh DB upgrade from scratch
* feat: add autogenerate support and CLI entrypoint for alembic
- autogenerate: compare ORM models vs DB schema to generate migrations
- CLI: python -m langbot.pkg.persistence.alembic_runner <command>
- autogenerate, upgrade, stamp, current
- Reads data/config.yaml for DB connection
* fix: add filereader for dingtalk,lark (#2122)
* fix: add filereader for dingtalk
* feat: add lark
* feat: update uv.lock
* chore: update version to 4.9.6 in pyproject.toml, __init__.py, and uv.lock
* fix: update langbot-plugin version to 0.3.8
* fix: update langbot-plugin version to 0.3.8
* docs: update database migration instructions in AGENTS.md
* fix(dashscopeapi): fix null value check in reasoning content processing logic (#2128)
* fix(n8n-runner): fix output_key not applied when n8n returns plain JSON (#2119)
* fix: bump dependencies to resolve Dependabot security alerts (#2130)
* fix: bump dependencies to resolve Dependabot security alerts
Python:
- aiohttp: >=3.11.18 → >=3.13.4 (duplicate Host headers, header injection, redirect leak, multipart DoS)
- cryptography: >=44.0.3 → >=46.0.7 (buffer overflow with non-contiguous buffers)
- pillow: >=11.2.1 → >=12.2.0 (FITS GZIP decompression bomb, HIGH)
- langchain-text-splitters: >=0.0.1 → >=1.1.2 (SSRF redirect bypass)
- langchain-core: add >=1.2.28 (incomplete f-string validation)
- langsmith: add >=0.7.31 (streaming token redaction bypass)
- python-multipart: add >=0.0.26 (multipart DoS)
- Mako: add >=1.3.11 (path traversal)
- pytest: >=8.4.1 → >=9.0.3 (tmpdir handling)
- uv: >=0.7.11 → >=0.11.6 (arbitrary file deletion)
JavaScript (web/):
- vite: ^8.0.3 → ^8.0.5 (fs.deny bypass, WebSocket file read, path traversal, HIGH)
- axios: ^1.13.5 → ^1.15.0 (cloud metadata exfiltration)
- lodash: ^4.17.23 → ^4.18.0 (code injection via _.template, prototype pollution, HIGH)
* fix: update pnpm-lock.yaml for bumped dependencies
* feat(ci): add i18n key consistency check for frontend locales (#2133)
* feat(ci): add i18n key consistency check workflow
Agent-Logs-Url: https://github.com/langbot-app/LangBot/sessions/c7bf50da-189b-49a5-9671-dbe8e70ff9d0
Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>
* feat(ci): replace eval with line-by-line parser, add permissions block
Agent-Logs-Url: https://github.com/langbot-app/LangBot/sessions/c7bf50da-189b-49a5-9671-dbe8e70ff9d0
Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>
---------
Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>
* feat(models): add provider model scanning
* feat(models): add 'select all' functionality and enrich model abilities
* fix:ruff
* fix:ruff
---------
Co-authored-by: WangCham <651122857@qq.com>
Co-authored-by: 6mvp6 <119733319+6mvp6@users.noreply.github.com>
Co-authored-by: 6mvp6 <13727783693@163.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: Guanchao Wang <wangcham233@gmail.com>
Co-authored-by: Copilot <198982749+Copilot@users.noreply.github.com>
Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>
Co-authored-by: RockChinQ <rockchinq@gmail.com>
Co-authored-by: haiyangbg <zhouhaiyangaa@gmail.com>
Co-authored-by: Rock Chin <1010553892@qq.com>
Co-authored-by: Amadeus <115918672+AmadeusKurisu1@users.noreply.github.com>
Co-authored-by: hzhhong <hung.z.h916@gmail.com>
Co-authored-by: fdc310 <2213070223@qq.com>
* feat(monitoring): link feedback to LangBot message ID and add feedback export
- Add pipeline→adapter notification hook so monitoring message ID is
passed back to WecomBotAdapter after creation
- Store stream_id→monitoring_message_id mapping with 10-min TTL cleanup
- Replace feedback record stream_id with LangBot monitoring message ID
so feedback can be linked to actual message records
- Rename streamId label to "Related Query ID" in all 7 i18n locales
- Remove non-functional message ID jump button from FeedbackList
- Add feedback export option to ExportDropdown (backend already implemented)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat(monitoring): add combined refresh handler for monitoring and feedback data
* fix(wecombot): improve stream ID mapping and error logging in WecomBotAdapter
* feat(lark): add monitoring message ID mapping for feedback correlation
* feat(lark): rename monitoring message ID mappings for clarity and consistency
feat(feedback): add button to view conversation for feedback items
* feat(bot-session-monitor): add feedback handling for bot messages with visual indicators
* feat(bot-session-monitor): enhance feedback display with hover content for like/dislike indicators
* fix(dingtalk): use voice recognition text instead of raw audio binary
When DingTalk sends a voice message to the bot, the callback JSON contains
a 'recognition' field with the speech-to-text result (powered by Qwen).
Previously, LangBot only extracted the 'downloadCode' to download the raw
audio binary and passed it as 'file_base64' to LLM APIs, which caused
400 errors since most models don't support this content type.
This patch:
- Extracts the 'recognition' field from DingTalk audio message content
- Uses it as plain text input to the LLM instead of raw audio
- Falls back to audio binary only when no recognition text is available
- Fixes duplicate text issue for audio messages with recognition
Fixes voice messages returning 'Request failed' on all LLM models.
* fix: add filereader for dingtalk,lark (#2122)
* fix: add filereader for dingtalk
* feat: add lark
* feat: update uv.lock
* chore: update version to 4.9.6 in pyproject.toml, __init__.py, and uv.lock
* fix: update langbot-plugin version to 0.3.8
* fix: update langbot-plugin version to 0.3.8
* fix(wecombot): extend StreamSession TTL for feedback sessions to prevent context data loss
StreamSessionManager.cleanup() removes sessions after 60s TTL, but feedback
events (like → cancel → dislike) can arrive later. When the session expires
before the dislike event, all context fields (session_id, user_id, message_id,
stream_id) are lost because get_session_by_feedback_id() returns None.
Fix: Sessions with registered feedback_ids now use a 10-minute TTL, aligned
with the adapter's _stream_to_monitoring_msg TTL in wecombot.py.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: 6mvp6 <13727783693@163.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: fdc310 <2213070223@qq.com>
Co-authored-by: haiyangbg <zhouhaiyangaa@gmail.com>
Co-authored-by: Guanchao Wang <wangcham233@gmail.com>
Co-authored-by: Rock Chin <1010553892@qq.com>
* fix(monitoring): fix WeChat Work feedback recording bugs
- Fix feedback events silently dropped when stream session expires:
dispatch feedback handlers regardless of session availability
- Fix IntegrityError on repeated feedback (like→dislike) for same
message: implement UPSERT logic in record_feedback()
- Fix cancel feedback (type=3) not removing records: add delete logic
- Fix inaccurate_reasons validation error: convert int reason codes
to strings before creating FeedbackEvent (Pydantic expects List[str])
- Fix feedback timestamps 8 hours off in frontend: use parseUTCTimestamp
instead of new Date() for UTC timestamp parsing
- Fix StreamSessionManager.cleanup missing _feedback_index cleanup
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix(monitoring): apply ruff format to wecom feedback files
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: 6mvp6 <13727783693@163.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* refactor: pipeline routing rules - add routed_by_rule bypass and diagnostic logging
- Add routing rules editor (RoutingRulesEditor component)
- Add routed_by_rule bypass logic in response rules
- Add diagnostic logging for pipeline routing
- Database migration for bot pipeline routing rules
- Extract RoutingRulesEditor component from BotForm
- Revert log levels to debug
* feat: add message_has_element routing rule type
Support routing by message element type (Image, Voice, File, Forward,
Face, At, AtAll, Quote) with eq/neq operators.
* test: add unit tests for pipeline routing rules
20 tests covering _match_operator (eq/neq/contains/not_contains/
starts_with/regex/invalid) and resolve_pipeline_uuid (launcher_type/
launcher_id/message_content/message_has_element/first-match-wins/
skip-invalid/default-operator).
* fix(web): add missing 'message_has_element' to routing rule type validation
The Zod schema and TypeScript type for PipelineRoutingRule.type were
missing the 'message_has_element' variant, causing silent form validation
failure when saving routing rules with this type.
* feat: add pipeline discard functionality and localization support
* feat(web): improve drag-and-drop with DragOverlay, add discard monitoring and pipeline icons
- Add DragOverlay for smooth cursor-following drag in routing rules editor
- Remove transition to eliminate redundant swap animation on drop
- Record discarded messages in monitoring system via _record_discarded_message
- Display pipeline name (Workflow icon) and runner name (Play icon) on session monitor messages
- Show discard badge on discarded messages in session monitor
- Add i18n translations for discarded/userMessage/botMessage
* fix: ensure discarded messages appear in session monitor and improve icons
- Create/update monitoring session for discarded messages so they show in
the bot session monitor (was only inserting message rows, not sessions)
- Use human-readable 'Discarded' as pipeline_name instead of '__discard__'
- Change runner icon from Play to Bot for better AI Agent semantics
* fix: merge discarded messages into same session and remove session-level pipeline name
- Use LauncherTypes enum for session_id in discarded messages to match
the format used by monitoring_helper (fixes duplicate sessions)
- Don't overwrite session pipeline info on discard — a session can have
messages from multiple pipelines
- Remove pipeline_name from session list and chat header since it's
now shown per-message and a session is no longer single-pipeline
* fix(web): only show save button on config tab in bot detail page
* fix(web): scroll to bottom after messages render in session monitor
---------
Co-authored-by: RockChinQ <rockchinq@gmail.com>
* feat: add tools API endpoint and tools-selector form type
Backend:
- Add GET /api/v1/tools — list all available tools (plugin + MCP)
- Add GET /api/v1/tools/<tool_name> — get specific tool details
Frontend:
- Add TOOLS_SELECTOR form type for plugin config forms
- Multi-select dialog with tool name and description
- Add PluginTool entity type and API client methods
* fix: remove unused quart import, fix prettier formatting
* style: ruff format tools.py
* chore: bump langbot-plugin to 0.3.7
* refactor(web): migrate from Next.js to Vite + React Router
* fix: update build pipelines for Vite migration (out → dist)
- Dockerfile: npm run build → npx vite build, web/out → web/dist
- pyproject.toml: package-data web/out/** → web/dist/**
- paths.py: support both web/dist (Vite) and web/out (legacy) with fallback
* fix: remove .next from git tracking, add to .gitignore
1334 cached files from web/.next/ were accidentally committed.
Added .next/ to both root and web/.gitignore.
* fix: update build process to use Vite and correct output directory
* fix: update pnpm-lock.yaml and eslint config for Vite migration
* style: fix prettier formatting issues
* fix: add eslint-plugin-react-hooks for Vite migration
* fix: remove undefined eslint rule reference, downgrade react-hooks plugin to v5
* fix(web): clean up remaining Next.js artifacts in Vite migration
- Add vite-env.d.ts for import.meta.env and asset type declarations
- Remove dead layout.tsx (providers already in main.tsx)
- Fix useSearchParams destructuring to [searchParams] tuple (11 locations)
- Replace process.env.NEXT_PUBLIC_* with import.meta.env.VITE_*
- Fix langbotIcon.src to langbotIcon (Vite returns URL string)
- Fix Link href to Link to for react-router-dom
- Fix navigate({ scroll: false }) to { preventScrollReset: true }
- Fix [router] dependency arrays to [navigate]
- Remove Next.js plugin from tsconfig, set rsc: false in components.json
- Replace next lint with eslint in lint-staged
* feat: add tools API endpoint and tools-selector form type
Backend:
- Add GET /api/v1/tools — list all available tools (plugin + MCP)
- Add GET /api/v1/tools/<tool_name> — get specific tool details
Frontend:
- Add TOOLS_SELECTOR form type for plugin config forms
- Multi-select dialog with tool name and description
- Add PluginTool entity type and API client methods
* Revert "feat: add tools API endpoint and tools-selector form type"
This reverts commit 3c637fc563.
* feat(wecom): add user feedback support for WeChat Work AI Bot
This commit implements user feedback functionality (like/dislike) for
WeChat Work AI Bot conversations, including:
Backend changes:
- Add feedback_id and stream_id fields to WecomBotEvent
- Implement feedback event handling in WecomBotClient (api.py)
- Add StreamSessionManager._feedback_index for feedback_id lookup
- Add on_feedback decorator for custom feedback handlers
- Create MonitoringFeedback entity for database persistence
- Add dbm025 migration for monitoring_feedback table
- Implement FeedbackMonitor helper class
- Update all platform adapters with ap parameter support
- Update botmgr to pass bot_info for monitoring context
Frontend changes:
- Add FeedbackCard and FeedbackList components
- Add useFeedbackData hook for feedback data fetching
- Add feedback tab to monitoring page
- Add feedback types and interfaces
- Add i18n translations (zh-Hans, en-US)
Other changes:
- Update Dockerfile with Chinese mirror for faster builds
- Update docker-compose.yaml with network configuration
- Update .gitignore for docker data and backup files
Note: Known issues that need future improvement:
- feedback_type=3 (cancel) is recorded but not properly handled
- Duplicate feedback records are not deduplicated
* chore: remove unnecessary migration for new table will be created automatically
* chore: ruff format
* chore: prettier
* feat: add feedback handling support across multiple platform adapters
* fix(web): remove unused imports and variables in monitoring module
---------
Co-authored-by: 6mvp6 <13727783693@163.com>
Co-authored-by: Junyan Qin <rockchinq@gmail.com>
Add 'View Docs' button that links to the corresponding adapter's
documentation page via link.langbot.app short links.
Appears in:
- Wizard adapter selection cards (Step 0)
- Wizard bot config card header (Step 1)
- Bot create/edit form (adapter config section)
Supports all 7 languages (en/zh-Hans/zh-Hant/ja/th/vi/es).
Doc links auto-resolve to the correct language based on UI locale.
All documentation URLs now go through Cloudflare Bulk Redirects
(link.langbot.app) so future doc path changes won't break
already-released versions.
Short link format: link.langbot.app/{lang}/docs/{topic}
Supported languages: zh, en, ja
