- Move the operation-traceability service and its HTTP routes into a standalone
pkg/operation_trace package; the Core controller package no longer depends on it
(routes stay auto-discovered by the controller package scan).
- Gate the hot path on one module-level boolean exposed as ap.operation_trace_active:
while no Workspace has tracing enabled the route wrapper performs zero trace work
and zero database round trips. The gate opens when a Workspace enables tracing and
is primed once at startup for already-enabled Workspaces.
- Record the installed extension identity for GitHub / marketplace / local / upload
installs (owner/repo, author/name, filename) so the trace no longer shows a
nameless "a plugin was installed" event and the card names the extension.
- Merge migrations 0032 + 0033 into a single 0032_operation_traceability revision
carrying the full table shape and an index set that matches the ORM.
Tests: unit 5165 passed / integration 358 passed; ruff check + format clean.
- Remove the unused request_summary local: the stored summary is derived by the
service from changes + the classified action, so handlers publishing
quart.g.operation_log_summary was a dead channel that never reached the row.
- Drop the unused datetime import in the operation log model.
- Apply ruff format to the touched files so `ruff format --check` passes.
Performance of the operation traceability surface:
- Cache the retention / row-budget / dedupe policy per Workspace and
invalidate it on governance change, so the hot write path no longer
issues three metadata round trips per recorded operation.
- Resolve the governance payload with one metadata query instead of four.
- Turn the dedupe probe into an existence check (LIMIT 1) instead of a
full COUNT over the dedupe window.
- Defer the row-budget COUNT to every N inserts; prune still enforces the
exact budget, and the maintenance loop keeps it bounded.
- Panel: fetch only the records page when paging or filtering instead of
re-requesting governance and the filter catalogue every time.
- Export: include the effective filters (and limit) in the artifact so a
downloaded CSV is self-describing.
Fixes and cleanup:
- Drop the unused OperationLogPruneReport import that broke `tsc`.
- i18n: remove the 9 redundant blank lines unique to en-US and format the
six non-compliant locale files with the project Prettier config; all
eight locales keep identical key sets, key order and placeholders.
Resolve the revision-graph conflict introduced by the release line.
Conflicts
- tests/integration/persistence/test_rag_document_identity.py: master had
independently introduced the same dynamic-head helper (`current_head`) plus
a `DOCUMENT_IDENTITY_REVISION` constant, and it explicitly upgrades to that
revision. Keep master's semantics (the explicit revision matters because
upgrading to the head now also traverses the TOTP branch) while keeping the
module-level alembic imports on this branch.
New migration
- 0030_merge_totp_into_release joins the TOTP branch's own merge revision
(0026_merge_totp_and_rag_identity) with the release head
(0029_merge_rag_identity). Both reached 0025_rag_document_identity without
including each other, which left Alembic with two heads and made
`upgrade head` fail with "Multiple head revisions are present".
Verification
- Single Alembic head confirmed (0030_merge_totp_into_release).
- tests/integration/persistence/test_rag_document_identity.py: 34 passed.
- Full fast integration suite: 356 passed, 84 skipped.
Add a per-Account time-based one-time password (TOTP) second sign-in
factor, plus the owner/admin tooling needed to operate it.
Backend
- TotpService: enrolment, constant-time verification with a +/- one step
drift window, single-use recovery codes and disablement.
* shared secret is only ever persisted as a Fernet token whose key is
derived (HKDF-SHA256) from the instance JWT secret and gated by a
key_version epoch;
* recovery codes are only ever persisted as salted
PBKDF2-HMAC-SHA256 digests (600k iterations) and are single-use;
* the consumed counter advances monotonically so a captured code cannot
be replayed inside the same time window.
- New persistence entities and alembic migrations for credentials and
recovery codes.
- Login second-factor challenge, bound to the Account that passed the
password step.
- Owner/admin oversight endpoints to inspect and re-bind the second
factor of any Account.
Frontend
- Account settings panel for enrolling, managing, re-binding and
disabling the second factor.
- Login second-factor step and the matching client methods.
- Strings for all eight locales.
The shared secret never crosses the API boundary: enrolment returns a
server-rendered QR code (as a data: URL) and the plaintext secret is
discarded as soon as the image is produced.
* fix(runner): align SDK pin and workspace-aware integration fixtures
* fix(ci): format sources and resolve current migration head
* test(persistence): align standalone migration fixtures with current models
* test(web): align smoke fixtures with current processor UI
---------
Co-authored-by: dadachann <[email protected]>
* fix(cloud): show owner model balance and enforce single owner
* fix(migrations): create owner index idempotently
---------
Co-authored-by: dadachann <[email protected]>
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
* 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 <[email protected]>
* 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 <[email protected]>
* 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 <[email protected]>
Co-authored-by: fdc310 <[email protected]>
Co-authored-by: RockChinQ <[email protected]>
Capture the README markdown from LangBot Space when installing an MCP
server and store it on the mcp_servers record (new readme column +
alembic migration 0004). The detail page can then render docs offline,
independent of the server's runtime/connection state.
* 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 <[email protected]>
* 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 <[email protected]>
* fix: apply ruff format
Co-Authored-By: Claude Opus 4.7 <[email protected]>
* feat(template): add rerank config fields to default pipeline config
Co-Authored-By: Claude Opus 4.7 <[email protected]>
* chore: remove PR.md
Co-Authored-By: Claude Opus 4.7 <[email protected]>
* 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 <[email protected]>
---------
Co-authored-by: Claude Opus 4.7 <[email protected]>
* 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 <[email protected]>
TyperBody