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9ecb587ac0973276fdf0d4fc8408c9e8726b70d1
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6 Commits

Author SHA1 Message Date
huanghuoguoguo
9ecb587ac0 refactor(provider): use LiteLLM as unified LLM requester backend (#2150) 
* refactor(provider): use LiteLLM as unified LLM requester backend

  - Replace 23+ individual requester implementations with unified litellmchat.py
  - Add litellm_provider field to 27 YAML manifests for provider routing
  - Delete redundant requester subclasses
  - Add unit tests for LiteLLMRequester (29 tests)
  - Fix num_retries parameter name (was max_retries)
  - Fix exception handling order for subclass exceptions

  LiteLLM provides unified API for 100+ providers, eliminating need for
  provider-specific requesters.

* fix: ruff format provider.py

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* refactor(provider): simplify LiteLLM requester usage handling

  - Remove unused Anthropic-specific tool schema generation
  - Share completion argument construction between normal and streaming calls
  - Use LiteLLM/OpenAI native usage fields for monitoring
  - Collect stream token usage from LiteLLM stream_options
  - Update LiteLLM requester tests for unified usage fields

* restore: restore deleted provider requester files

Restore individual provider requester implementations that were
removed in de61b5d3. These files coexist with the unified
litellmchat.py backend.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* feat: update requesters and improve provider selection UI

- Added `litellm_provider` field to various requesters' YAML configurations.
- Removed obsolete Python requester files for OpenRouter, PPIO, QHAIGC, ShengSuanYun, SiliconFlow, Space, TokenPony, VolcArk, and Xai.
- Introduced new requesters for Tencent and Together AI with corresponding YAML configurations and SVG icons.
- Enhanced the ProviderForm component to include a searchable dropdown for selecting providers, improving user experience.
- Updated localization files to include search provider text for both English and Chinese.

* fix(provider): align litellm rebase with master

* fix(provider): capture streaming token usage; add token observability

The LiteLLM streaming requester only captured usage when a chunk had an
empty `choices` list. Many OpenAI-compatible gateways (e.g. new-api) and
providers send the final usage payload in a chunk that still carries an
empty-delta choice, so streamed calls always recorded 0 tokens in the
monitoring logs/dashboard (non-streaming worked).

- Capture stream usage whenever a chunk carries it, regardless of choices
- Add robust _normalize_usage (dict/obj shapes, derive missing total_tokens)
- Register litellm in bootutils/deps.py (was in pyproject only)
- Add MonitoringService.get_token_statistics + /monitoring/token-statistics
  endpoint: summary, per-model breakdown, token timeseries, and a
  zero-token-success data-quality signal
- Add TokenMonitoring dashboard tab (summary tiles, stacked token chart,
  per-model table) + i18n (en/zh)
- Regression tests for stream usage capture and usage normalization

Verified end-to-end against a real OpenAI-compatible endpoint with
gpt-5.5 and claude-opus-4-8: tokens now recorded non-zero for both
streaming and non-streaming paths.

* refactor(provider): simplify litellm capabilities

* style: simplify wrapped expressions

* feat(models): persist context metadata

* fix(provider): handle dict embeddings and openai-compatible rerank in LiteLLMRequester

- invoke_embedding: support both object- and dict-shaped response.data
  entries (OpenAI-compatible gateways like new-api return dicts)
- invoke_rerank: litellm.arerank rejects the 'openai' provider, so for
  openai-compatible (or unspecified) providers call the standard
  Jina/Cohere-style POST /v1/rerank endpoint directly over HTTP
- accept both 'relevance_score' and 'score' fields in rerank results
- add unit tests for the openai-compatible HTTP rerank path

* feat(provider): enforce requester support_type when adding models

- frontend: AddModelPopover only shows model-type tabs (llm/embedding/
  rerank) that the provider's requester declares in its manifest
  support_type; ModelsDialog fetches requester manifests and maps
  requester -> support_type, passed down through ProviderCard
- backend: add _validate_provider_supports guard in create_llm_model /
  create_embedding_model / create_rerank_model so a model cannot be
  attached to a provider whose requester does not support that type,
  even if the frontend restriction is bypassed (manifests without
  support_type are allowed for backward compatibility)
- manifests: correct support_type for providers that do not offer all
  three model types:
  - llm only: anthropic, deepseek, groq, moonshot, openrouter, xai
  - llm + text-embedding: openai, gemini, mistral
  - add rerank to new-api (verified working via /v1/rerank)
  - set llm + text-embedding + rerank for aggregator/unknown gateways

* feat(provider): add searchable alias to requester manifests

- add a free-text 'alias' field to every requester manifest spec,
  containing the vendor's English/Chinese names, pinyin, common
  nicknames and flagship model-series names (e.g. moonshot -> kimi,
  月之暗面; zhipu -> glm, 智谱清言)
- frontend: ProviderForm requester search now also matches against
  alias (substring/contains), so searching 'kimi' surfaces Moonshot,
  '硅基' surfaces SiliconFlow, etc.
- also fix support_type: openrouter (relay) supports embedding+rerank;
  LangBot Space gains rerank (coming soon)

* fix(provider): make support_type guard defensive against incomplete model_mgr

- _validate_provider_supports now uses getattr to gracefully skip when
  model_mgr / provider_dict / manifest lookup is unavailable, instead of
  raising AttributeError (fixes unit tests that mock ap.model_mgr as a
  bare SimpleNamespace)
- add TestValidateProviderSupports covering: allow supported type,
  reject unsupported type, allow when support_type missing, allow when
  provider unknown, degrade safely when model_mgr is incomplete

* fix(persistence): guard 0004 migration against missing llm_models table

The 0004_add_llm_model_context_length migration called
inspector.get_columns('llm_models') unconditionally, raising
NoSuchTableError when the table does not exist (e.g. migrating a
fresh/empty DB, as exercised by the integration tests where
create_all() registers no tables because the ORM models are not
imported). Every other migration guards with a table-existence check
first; add the same guard here for both upgrade and downgrade.

Also restore the test head assertion to 0004 (it had been lowered to
0003 to mask this failure).

* Merge branch 'master' into feat/litellm

Resolve conflicts:
- uv.lock: regenerated via 'uv lock' to reconcile litellm/fastuuid
  (ours) with openai bump (master).
- Alembic migrations: master added 0004_add_mcp_readme while this
  branch added 0004_add_llm_model_context_length, both as children of
  0003 (would create multiple heads). Re-chain the litellm migration as
  0005_add_llm_model_context_length with down_revision=0004_add_mcp_readme
  for a single linear head. Update test head assertion accordingly.

* fix(persistence): shorten migration revision id to fit varchar(32)

PostgreSQL stores alembic_version.version_num as varchar(32).
'0005_add_llm_model_context_length' (33 chars) overflowed it, raising
StringDataRightTruncationError in the PG migration tests. Rename the
revision (and file) to '0005_add_llm_context_length' (27 chars) and
update the head assertions in both SQLite and PostgreSQL migration
tests.

---------

Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
Co-authored-by: fdc310 <2213070223@qq.com>
Co-authored-by: RockChinQ <rockchinq@gmail.com>
 2026-06-13 16:59:48 +08:00
6mvp6
6e37aae636 feat(wecom): add user feedback support for WeChat Work AI Bot (#2078) 
* 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>
 2026-03-30 20:23:52 +08:00
Junyan Chin
d9a630b8c1 feat: add session message monitoring tab to bot detail dialog (#2005) 
* feat: add session message monitoring tab to bot detail dialog

Add a new "Sessions" tab in the bot detail dialog that displays
sent & received messages grouped by sessions. Users can select
any session to view its messages in a chat-bubble style layout.

Backend changes:
- Add sessionId filter to monitoring messages endpoint
- Add role column to MonitoringMessage (user/assistant)
- Record bot responses in monitoring via record_query_response()
- Add DB migration (dbm019) for the new role column

Frontend changes:
- New BotSessionMonitor component with session list + message viewer
- Add Sessions sidebar tab to BotDetailDialog
- Add getBotSessions/getSessionMessages API methods to BackendClient
- Add i18n translations (en-US, zh-Hans, zh-Hant, ja-JP)

Generated with [Claude Code](https://claude.ai/code)
via [Happy](https://happy.engineering)

Co-Authored-By: Claude <noreply@anthropic.com>
Co-Authored-By: Happy <yesreply@happy.engineering>

* refactor: remove outdated version comment from PipelineManager class

* fix: bump required_database_version to 19 to trigger monitoring_messages.role migration

* fix: prevent session message auto-scroll from pushing dialog content out of view

Replace scrollIntoView (which scrolls all ancestor containers) with
direct scrollTop manipulation on the ScrollArea viewport. This keeps
the scroll contained within the messages panel only.

* ui: redesign BotSessionMonitor with polished chat UI

- Wider session list (w-72) with avatar circles and cleaner layout
- Richer chat header with avatar, platform info, and active indicator
- User messages now use blue-500 (solid) instead of blue-100 for
  clear visual distinction
- Metadata (time, runner) shown on hover below bubbles, not inside
- Proper empty state illustrations for both panels
- Better spacing, rounded corners, and shadow treatment
- Consistent dark mode styling

* fix: infinite re-render loop in DynamicFormComponent

The useEffect depended on onSubmit which was a new closure every
parent render. Calling onSubmit inside the effect triggered parent
state update → re-render → new onSubmit ref → effect re-runs → loop.

Fix: use useRef to hold a stable reference to onSubmit, removing it
from the useEffect dependency array.

Also add DialogDescription to BotDetailDialog to suppress Radix
aria-describedby warning.

* fix: remove .html suffix from docs.langbot.app links (Mintlify migration)

* style: fix prettier and ruff formatting

---------

Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: Happy <yesreply@happy.engineering>
 2026-02-25 21:56:24 +08:00
wangcham
c2574bdd3a fix: lint error 2026-02-09 01:01:20 +08:00
WangCham
6d858475d7 feat: support export message history 2026-02-08 10:19:27 +08:00
Guanchao Wang
5d9f6ec763 Feat/monitor (#1928) 
* feat: add monitor

* feat: fix tab

* feat: work

* feat: not reliable monitor

* feat: enhance monitoring page layout with integrated filters and refresh button

* feat: add support for runner recording

* feat: add jump button & alignment

* feat: new

* fix: not show query variables in local agent

* fix: pnpm lint and python ruff check

* fix: ruff fromat

* chore: remove unnecessary migration

* style: optimize monitoring page layout and fix sticky filter issues

- Enhanced metric cards with gradient backgrounds and hover effects
- Increased traffic chart height from 200px to 300px
- Adjusted grid layout and spacing for better visual appeal
- Fixed sticky filter area to properly cover parent padding without transparent gaps
- Used negative margins and positioning to eliminate scrolling artifacts
- Matched padding/margins with other pages (pipelines, bots) for consistency
- Removed duplicate title/subtitle from page content
- Added cursor-pointer styling to tab triggers
- Removed border between tab list and tab content

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

* fix: apply prettier formatting to monitoring components

- Fixed indentation and spacing in MetricCard.tsx
- Fixed formatting in TrafficChart.tsx
- Applied prettier formatting to page.tsx

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

* feat: update HomeSidebar to trigger action on child selection and localize monitoring titles

* refactor: streamline LLM and embedding invocation methods

* feat: add embedding model monitor

* fix: database version

* chore: simplify pnpm-lock.yaml formatting

---------

Co-authored-by: Junyan Qin <rockchinq@gmail.com>
Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
 2026-01-26 21:08:23 +08:00