chore: refresh vinext lockfile

.agents/skills/component-refactoring/SKILL.md

@@ -187,12 +187,53 @@ const Template = useMemo(() => {
 
 **When**: Component directly handles API calls, data transformation, or complex async operations.
 
-**Dify Convention**:
-- This skill is for component decomposition, not query/mutation design.
-- When refactoring data fetching, follow `web/AGENTS.md`.
-- Use `frontend-query-mutation` for contracts, query shape, data-fetching wrappers, query/mutation call-site patterns, conditional queries, invalidation, and mutation error handling.
-- Do not introduce deprecated `useInvalid` / `useReset`.
-- Do not add thin passthrough `useQuery` wrappers during refactoring; only extract a custom hook when it truly orchestrates multiple queries/mutations or shared derived state.
+**Dify Convention**: Use `@tanstack/react-query` hooks from `web/service/use-*.ts` or create custom data hooks.
+
+```typescript
+// ❌ Before: API logic in component
+const MCPServiceCard = () => {
+  const [basicAppConfig, setBasicAppConfig] = useState({})
+  
+  useEffect(() => {
+    if (isBasicApp && appId) {
+      (async () => {
+        const res = await fetchAppDetail({ url: '/apps', id: appId })
+        setBasicAppConfig(res?.model_config || {})
+      })()
+    }
+  }, [appId, isBasicApp])
+  
+  // More API-related logic...
+}
+
+// ✅ After: Extract to data hook using React Query
+// use-app-config.ts
+import { useQuery } from '@tanstack/react-query'
+import { get } from '@/service/base'
+
+const NAME_SPACE = 'appConfig'
+
+export const useAppConfig = (appId: string, isBasicApp: boolean) => {
+  return useQuery({
+    enabled: isBasicApp && !!appId,
+    queryKey: [NAME_SPACE, 'detail', appId],
+    queryFn: () => get<AppDetailResponse>(`/apps/${appId}`),
+    select: data => data?.model_config || {},
+  })
+}
+
+// Component becomes cleaner
+const MCPServiceCard = () => {
+  const { data: config, isLoading } = useAppConfig(appId, isBasicApp)
+  // UI only
+}
+```
+
+**React Query Best Practices in Dify**:
+- Define `NAME_SPACE` for query key organization
+- Use `enabled` option for conditional fetching
+- Use `select` for data transformation
+- Export invalidation hooks: `useInvalidXxx`
 
 **Dify Examples**:
 - `web/service/use-workflow.ts`

.agents/skills/component-refactoring/references/hook-extraction.md

@@ -155,14 +155,48 @@ const Configuration: FC = () => {
 
 ## Common Hook Patterns in Dify
 
-### 1. Data Fetching / Mutation Hooks
+### 1. Data Fetching Hook (React Query)
 
-When hook extraction touches query or mutation code, do not use this reference as the source of truth for data-layer patterns.
+```typescript
+// Pattern: Use @tanstack/react-query for data fetching
+import { useQuery, useQueryClient } from '@tanstack/react-query'
+import { get } from '@/service/base'
+import { useInvalid } from '@/service/use-base'
 
-- Follow `web/AGENTS.md` first.
-- Use `frontend-query-mutation` for contracts, query shape, data-fetching wrappers, query/mutation call-site patterns, conditional queries, invalidation, and mutation error handling.
-- Do not introduce deprecated `useInvalid` / `useReset`.
-- Do not extract thin passthrough `useQuery` hooks; only extract orchestration hooks.
+const NAME_SPACE = 'appConfig'
+
+// Query keys for cache management
+export const appConfigQueryKeys = {
+  detail: (appId: string) => [NAME_SPACE, 'detail', appId] as const,
+}
+
+// Main data hook
+export const useAppConfig = (appId: string) => {
+  return useQuery({
+    enabled: !!appId,
+    queryKey: appConfigQueryKeys.detail(appId),
+    queryFn: () => get<AppDetailResponse>(`/apps/${appId}`),
+    select: data => data?.model_config || null,
+  })
+}
+
+// Invalidation hook for refreshing data
+export const useInvalidAppConfig = () => {
+  return useInvalid([NAME_SPACE])
+}
+
+// Usage in component
+const Component = () => {
+  const { data: config, isLoading, error, refetch } = useAppConfig(appId)
+  const invalidAppConfig = useInvalidAppConfig()
+  
+  const handleRefresh = () => {
+    invalidAppConfig() // Invalidates cache and triggers refetch
+  }
+  
+  return <div>...</div>
+}
+```
 
 ### 2. Form State Hook
 

.agents/skills/frontend-query-mutation/SKILL.md

@@ -1,44 +0,0 @@
----
-name: frontend-query-mutation
-description: Guide for implementing Dify frontend query and mutation patterns with TanStack Query and oRPC. Trigger when creating or updating contracts in web/contract, wiring router composition, consuming consoleQuery or marketplaceQuery in components or services, deciding whether to call queryOptions() directly or extract a helper or use-* hook, handling conditional queries, cache invalidation, mutation error handling, or migrating legacy service calls to contract-first query and mutation helpers.
----
-
-# Frontend Query & Mutation
-
-## Intent
-
-- Keep contract as the single source of truth in `web/contract/*`.
-- Prefer contract-shaped `queryOptions()` and `mutationOptions()`.
-- Keep invalidation and mutation flow knowledge in the service layer.
-- Keep abstractions minimal to preserve TypeScript inference.
-
-## Workflow
-
-1. Identify the change surface.
-   - Read `references/contract-patterns.md` for contract files, router composition, client helpers, and query or mutation call-site shape.
-   - Read `references/runtime-rules.md` for conditional queries, invalidation, error handling, and legacy migrations.
-   - Read both references when a task spans contract shape and runtime behavior.
-2. Implement the smallest abstraction that fits the task.
-   - Default to direct `useQuery(...)` or `useMutation(...)` calls with oRPC helpers at the call site.
-   - Extract a small shared query helper only when multiple call sites share the same extra options.
-   - Create `web/service/use-{domain}.ts` only for orchestration or shared domain behavior.
-3. Preserve Dify conventions.
-   - Keep contract inputs in `{ params, query?, body? }` shape.
-   - Bind invalidation in the service-layer mutation definition.
-   - Prefer `mutate(...)`; use `mutateAsync(...)` only when Promise semantics are required.
-
-## Files Commonly Touched
-
-- `web/contract/console/*.ts`
-- `web/contract/marketplace.ts`
-- `web/contract/router.ts`
-- `web/service/client.ts`
-- `web/service/use-*.ts`
-- component and hook call sites using `consoleQuery` or `marketplaceQuery`
-
-## References
-
-- Use `references/contract-patterns.md` for contract shape, router registration, query and mutation helpers, and anti-patterns that degrade inference.
-- Use `references/runtime-rules.md` for conditional queries, invalidation, `mutate` versus `mutateAsync`, and legacy migration rules.
-
-Treat this skill as the single query and mutation entry point for Dify frontend work. Keep detailed rules in the reference files instead of duplicating them in project docs.

.agents/skills/frontend-query-mutation/agents/openai.yaml

@@ -1,4 +0,0 @@
-interface:
-  display_name: "Frontend Query & Mutation"
-  short_description: "Dify TanStack Query and oRPC patterns"
-  default_prompt: "Use this skill when implementing or reviewing Dify frontend contracts, query and mutation call sites, conditional queries, invalidation, or legacy query/mutation migrations."

.agents/skills/frontend-query-mutation/references/contract-patterns.md

@@ -1,98 +0,0 @@
-# Contract Patterns
-
-## Table of Contents
-
-- Intent
-- Minimal structure
-- Core workflow
-- Query usage decision rule
-- Mutation usage decision rule
-- Anti-patterns
-- Contract rules
-- Type export
-
-## Intent
-
-- Keep contract as the single source of truth in `web/contract/*`.
-- Default query usage to call-site `useQuery(consoleQuery|marketplaceQuery.xxx.queryOptions(...))` when endpoint behavior maps 1:1 to the contract.
-- Keep abstractions minimal and preserve TypeScript inference.
-
-## Minimal Structure
-
-```text
-web/contract/
-├── base.ts
-├── router.ts
-├── marketplace.ts
-└── console/
-    ├── billing.ts
-    └── ...other domains
-web/service/client.ts
-```
-
-## Core Workflow
-
-1. Define contract in `web/contract/console/{domain}.ts` or `web/contract/marketplace.ts`.
-   - Use `base.route({...}).output(type<...>())` as the baseline.
-   - Add `.input(type<...>())` only when the request has `params`, `query`, or `body`.
-   - For `GET` without input, omit `.input(...)`; do not use `.input(type<unknown>())`.
-2. Register contract in `web/contract/router.ts`.
-   - Import directly from domain files and nest by API prefix.
-3. Consume from UI call sites via oRPC query utilities.
-
-```typescript
-import { useQuery } from '@tanstack/react-query'
-import { consoleQuery } from '@/service/client'
-
-const invoiceQuery = useQuery(consoleQuery.billing.invoices.queryOptions({
-  staleTime: 5 * 60 * 1000,
-  throwOnError: true,
-  select: invoice => invoice.url,
-}))
-```
-
-## Query Usage Decision Rule
-
-1. Default to direct `*.queryOptions(...)` usage at the call site.
-2. If 3 or more call sites share the same extra options, extract a small query helper, not a `use-*` passthrough hook.
-3. Create `web/service/use-{domain}.ts` only for orchestration.
-   - Combine multiple queries or mutations.
-   - Share domain-level derived state or invalidation helpers.
-
-```typescript
-const invoicesBaseQueryOptions = () =>
-  consoleQuery.billing.invoices.queryOptions({ retry: false })
-
-const invoiceQuery = useQuery({
-  ...invoicesBaseQueryOptions(),
-  throwOnError: true,
-})
-```
-
-## Mutation Usage Decision Rule
-
-1. Default to mutation helpers from `consoleQuery` or `marketplaceQuery`, for example `useMutation(consoleQuery.billing.bindPartnerStack.mutationOptions(...))`.
-2. If the mutation flow is heavily custom, use oRPC clients as `mutationFn`, for example `consoleClient.xxx` or `marketplaceClient.xxx`, instead of handwritten non-oRPC mutation logic.
-
-## Anti-Patterns
-
-- Do not wrap `useQuery` with `options?: Partial<UseQueryOptions>`.
-- Do not split local `queryKey` and `queryFn` when oRPC `queryOptions` already exists and fits the use case.
-- Do not create thin `use-*` passthrough hooks for a single endpoint.
-- These patterns can degrade inference, especially around `throwOnError` and `select`, and add unnecessary indirection.
-
-## Contract Rules
-
-- Input structure: always use `{ params, query?, body? }`.
-- No-input `GET`: omit `.input(...)`; do not use `.input(type<unknown>())`.
-- Path params: use `{paramName}` in the path and match it in the `params` object.
-- Router nesting: group by API prefix, for example `/billing/*` becomes `billing: {}`.
-- No barrel files: import directly from specific files.
-- Types: import from `@/types/` and use the `type<T>()` helper.
-- Mutations: prefer `mutationOptions`; use explicit `mutationKey` mainly for defaults, filtering, and devtools.
-
-## Type Export
-
-```typescript
-export type ConsoleInputs = InferContractRouterInputs<typeof consoleRouterContract>
-```

.agents/skills/frontend-query-mutation/references/runtime-rules.md

@@ -1,133 +0,0 @@
-# Runtime Rules
-
-## Table of Contents
-
-- Conditional queries
-- Cache invalidation
-- Key API guide
-- `mutate` vs `mutateAsync`
-- Legacy migration
-
-## Conditional Queries
-
-Prefer contract-shaped `queryOptions(...)`.
-When required input is missing, prefer `input: skipToken` instead of placeholder params or non-null assertions.
-Use `enabled` only for extra business gating after the input itself is already valid.
-
-```typescript
-import { skipToken, useQuery } from '@tanstack/react-query'
-
-// Disable the query by skipping input construction.
-function useAccessMode(appId: string | undefined) {
-  return useQuery(consoleQuery.accessControl.appAccessMode.queryOptions({
-    input: appId
-      ? { params: { appId } }
-      : skipToken,
-  }))
-}
-
-// Avoid runtime-only guards that bypass type checking.
-function useBadAccessMode(appId: string | undefined) {
-  return useQuery(consoleQuery.accessControl.appAccessMode.queryOptions({
-    input: { params: { appId: appId! } },
-    enabled: !!appId,
-  }))
-}
-```
-
-## Cache Invalidation
-
-Bind invalidation in the service-layer mutation definition.
-Components may add UI feedback in call-site callbacks, but they should not decide which queries to invalidate.
-
-Use:
-
-- `.key()` for namespace or prefix invalidation
-- `.queryKey(...)` only for exact cache reads or writes such as `getQueryData` and `setQueryData`
-- `queryClient.invalidateQueries(...)` in mutation `onSuccess`
-
-Do not use deprecated `useInvalid` from `use-base.ts`.
-
-```typescript
-// Service layer owns cache invalidation.
-export const useUpdateAccessMode = () => {
-  const queryClient = useQueryClient()
-
-  return useMutation(consoleQuery.accessControl.updateAccessMode.mutationOptions({
-    onSuccess: () => {
-      queryClient.invalidateQueries({
-        queryKey: consoleQuery.accessControl.appWhitelistSubjects.key(),
-      })
-    },
-  }))
-}
-
-// Component only adds UI behavior.
-updateAccessMode({ appId, mode }, {
-  onSuccess: () => Toast.notify({ type: 'success', message: '...' }),
-})
-
-// Avoid putting invalidation knowledge in the component.
-mutate({ appId, mode }, {
-  onSuccess: () => {
-    queryClient.invalidateQueries({
-      queryKey: consoleQuery.accessControl.appWhitelistSubjects.key(),
-    })
-  },
-})
-```
-
-## Key API Guide
-
-- `.key(...)`
-  - Use for partial matching operations.
-  - Prefer it for invalidation, refetch, and cancel patterns.
-  - Example: `queryClient.invalidateQueries({ queryKey: consoleQuery.billing.key() })`
-- `.queryKey(...)`
-  - Use for a specific query's full key.
-  - Prefer it for exact cache addressing and direct reads or writes.
-- `.mutationKey(...)`
-  - Use for a specific mutation's full key.
-  - Prefer it for mutation defaults registration, mutation-status filtering, and devtools grouping.
-
-## `mutate` vs `mutateAsync`
-
-Prefer `mutate` by default.
-Use `mutateAsync` only when Promise semantics are truly required, such as parallel mutations or sequential steps with result dependencies.
-
-Rules:
-
-- Event handlers should usually call `mutate(...)` with `onSuccess` or `onError`.
-- Every `await mutateAsync(...)` must be wrapped in `try/catch`.
-- Do not use `mutateAsync` when callbacks already express the flow clearly.
-
-```typescript
-// Default case.
-mutation.mutate(data, {
-  onSuccess: result => router.push(result.url),
-})
-
-// Promise semantics are required.
-try {
-  const order = await createOrder.mutateAsync(orderData)
-  await confirmPayment.mutateAsync({ orderId: order.id, token })
-  router.push(`/orders/${order.id}`)
-}
-catch (error) {
-  Toast.notify({
-    type: 'error',
-    message: error instanceof Error ? error.message : 'Unknown error',
-  })
-}
-```
-
-## Legacy Migration
-
-When touching old code, migrate it toward these rules:
-
-| Old pattern | New pattern |
-|---|---|
-| `useInvalid(key)` in service layer | `queryClient.invalidateQueries(...)` inside mutation `onSuccess` |
-| component-triggered invalidation after mutation | move invalidation into the service-layer mutation definition |
-| imperative fetch plus manual invalidation | wrap it in `useMutation(...mutationOptions(...))` |
-| `await mutateAsync()` without `try/catch` | switch to `mutate(...)` or add `try/catch` |

.agents/skills/orpc-contract-first/SKILL.md

@@ -0,0 +1,103 @@
+---
+name: orpc-contract-first
+description: Guide for implementing oRPC contract-first API patterns in Dify frontend. Trigger when creating or updating contracts in web/contract, wiring router composition, integrating TanStack Query with typed contracts, migrating legacy service calls to oRPC, or deciding whether to call queryOptions directly vs extracting a helper or use-* hook in web/service.
+---
+
+# oRPC Contract-First Development
+
+## Intent
+
+- Keep contract as single source of truth in `web/contract/*`.
+- Default query usage: call-site `useQuery(consoleQuery|marketplaceQuery.xxx.queryOptions(...))` when endpoint behavior maps 1:1 to the contract.
+- Keep abstractions minimal and preserve TypeScript inference.
+
+## Minimal Structure
+
+```text
+web/contract/
+├── base.ts
+├── router.ts
+├── marketplace.ts
+└── console/
+    ├── billing.ts
+    └── ...other domains
+web/service/client.ts
+```
+
+## Core Workflow
+
+1. Define contract in `web/contract/console/{domain}.ts` or `web/contract/marketplace.ts`
+   - Use `base.route({...}).output(type<...>())` as baseline.
+   - Add `.input(type<...>())` only when request has `params/query/body`.
+   - For `GET` without input, omit `.input(...)` (do not use `.input(type<unknown>())`).
+2. Register contract in `web/contract/router.ts`
+   - Import directly from domain files and nest by API prefix.
+3. Consume from UI call sites via oRPC query utils.
+
+```typescript
+import { useQuery } from '@tanstack/react-query'
+import { consoleQuery } from '@/service/client'
+
+const invoiceQuery = useQuery(consoleQuery.billing.invoices.queryOptions({
+  staleTime: 5 * 60 * 1000,
+  throwOnError: true,
+  select: invoice => invoice.url,
+}))
+```
+
+## Query Usage Decision Rule
+
+1. Default: call site directly uses `*.queryOptions(...)`.
+2. If 3+ call sites share the same extra options (for example `retry: false`), extract a small queryOptions helper, not a `use-*` passthrough hook.
+3. Create `web/service/use-{domain}.ts` only for orchestration:
+   - Combine multiple queries/mutations.
+   - Share domain-level derived state or invalidation helpers.
+
+```typescript
+const invoicesBaseQueryOptions = () =>
+  consoleQuery.billing.invoices.queryOptions({ retry: false })
+
+const invoiceQuery = useQuery({
+  ...invoicesBaseQueryOptions(),
+  throwOnError: true,
+})
+```
+
+## Mutation Usage Decision Rule
+
+1. Default: call mutation helpers from `consoleQuery` / `marketplaceQuery`, for example `useMutation(consoleQuery.billing.bindPartnerStack.mutationOptions(...))`.
+2. If mutation flow is heavily custom, use oRPC clients as `mutationFn` (for example `consoleClient.xxx` / `marketplaceClient.xxx`), instead of generic handwritten non-oRPC mutation logic.
+
+## Key API Guide (`.key` vs `.queryKey` vs `.mutationKey`)
+
+- `.key(...)`:
+  - Use for partial matching operations (recommended for invalidation/refetch/cancel patterns).
+  - Example: `queryClient.invalidateQueries({ queryKey: consoleQuery.billing.key() })`
+- `.queryKey(...)`:
+  - Use for a specific query's full key (exact query identity / direct cache addressing).
+- `.mutationKey(...)`:
+  - Use for a specific mutation's full key.
+  - Typical use cases: mutation defaults registration, mutation-status filtering (`useIsMutating`, `queryClient.isMutating`), or explicit devtools grouping.
+
+## Anti-Patterns
+
+- Do not wrap `useQuery` with `options?: Partial<UseQueryOptions>`.
+- Do not split local `queryKey/queryFn` when oRPC `queryOptions` already exists and fits the use case.
+- Do not create thin `use-*` passthrough hooks for a single endpoint.
+- Reason: these patterns can degrade inference (`data` may become `unknown`, especially around `throwOnError`/`select`) and add unnecessary indirection.
+
+## Contract Rules
+
+- **Input structure**: Always use `{ params, query?, body? }` format
+- **No-input GET**: Omit `.input(...)`; do not use `.input(type<unknown>())`
+- **Path params**: Use `{paramName}` in path, match in `params` object
+- **Router nesting**: Group by API prefix (e.g., `/billing/*` -> `billing: {}`)
+- **No barrel files**: Import directly from specific files
+- **Types**: Import from `@/types/`, use `type<T>()` helper
+- **Mutations**: Prefer `mutationOptions`; use explicit `mutationKey` mainly for defaults/filtering/devtools
+
+## Type Export
+
+```typescript
+export type ConsoleInputs = InferContractRouterInputs<typeof consoleRouterContract>
+```

.claude/skills/frontend-query-mutation

@@ -1 +0,0 @@
-../../.agents/skills/frontend-query-mutation

.claude/skills/orpc-contract-first

@@ -0,0 +1 @@
+../../.agents/skills/orpc-contract-first

.github/actions/setup-web/action.yml

@@ -1,13 +1,33 @@
 name: Setup Web Environment
+description: Setup pnpm, Node.js, and install web dependencies.
+
+inputs:
+  node-version:
+    description: Node.js version to use
+    required: false
+    default: "22"
+  install-dependencies:
+    description: Whether to install web dependencies after setting up Node.js
+    required: false
+    default: "true"
 
 runs:
   using: composite
   steps:
-    - name: Setup Vite+
-      uses: voidzero-dev/setup-vp@b5d848f5a62488f3d3d920f8aa6ac318a60c5f07 # v1
+    - name: Install pnpm
+      uses: pnpm/action-setup@41ff72655975bd51cab0327fa583b6e92b6d3061 # v4.2.0
       with:
-        node-version-file: "./web/.nvmrc"
-        cache: true
-        run-install: |
-          - cwd: ./web
-            args: ['--frozen-lockfile']
+        package_json_file: web/package.json
+        run_install: false
+
+    - name: Setup Node.js
+      uses: actions/setup-node@53b83947a5a98c8d113130e565377fae1a50d02f # v6.3.0
+      with:
+        node-version: ${{ inputs.node-version }}
+        cache: pnpm
+        cache-dependency-path: ./web/pnpm-lock.yaml
+
+    - name: Install dependencies
+      if: ${{ inputs.install-dependencies == 'true' }}
+      shell: bash
+      run: pnpm --dir web install --frozen-lockfile

.github/dependabot.yml

@@ -3,210 +3,54 @@ version: 2
 updates:
   - package-ecosystem: "pip"
     directory: "/api"
-    open-pull-requests-limit: 10
+    open-pull-requests-limit: 2
     schedule:
       interval: "weekly"
     groups:
-      flask:
-        patterns:
-          - "flask"
-          - "flask-*"
-          - "werkzeug"
-          - "gunicorn"
-      google:
-        patterns:
-          - "google-*"
-          - "googleapis-*"
-      opentelemetry:
-        patterns:
-          - "opentelemetry-*"
-      pydantic:
-        patterns:
-          - "pydantic"
-          - "pydantic-*"
-      llm:
-        patterns:
-          - "langfuse"
-          - "langsmith"
-          - "litellm"
-          - "mlflow*"
-          - "opik"
-          - "weave*"
-          - "arize*"
-          - "tiktoken"
-          - "transformers"
-      database:
-        patterns:
-          - "sqlalchemy"
-          - "psycopg2*"
-          - "psycogreen"
-          - "redis*"
-          - "alembic*"
-      storage:
-        patterns:
-          - "boto3*"
-          - "botocore*"
-          - "azure-*"
-          - "bce-*"
-          - "cos-python-*"
-          - "esdk-obs-*"
-          - "google-cloud-storage"
-          - "opendal"
-          - "oss2"
-          - "supabase*"
-          - "tos*"
-      vdb:
-        patterns:
-          - "alibabacloud*"
-          - "chromadb"
-          - "clickhouse-*"
-          - "clickzetta-*"
-          - "couchbase"
-          - "elasticsearch"
-          - "opensearch-py"
-          - "oracledb"
-          - "pgvect*"
-          - "pymilvus"
-          - "pymochow"
-          - "pyobvector"
-          - "qdrant-client"
-          - "intersystems-*"
-          - "tablestore"
-          - "tcvectordb"
-          - "tidb-vector"
-          - "upstash-*"
-          - "volcengine-*"
-          - "weaviate-*"
-          - "xinference-*"
-          - "mo-vector"
-          - "mysql-connector-*"
-      dev:
-        patterns:
-          - "coverage"
-          - "dotenv-linter"
-          - "faker"
-          - "lxml-stubs"
-          - "basedpyright"
-          - "ruff"
-          - "pytest*"
-          - "types-*"
-          - "boto3-stubs"
-          - "hypothesis"
-          - "pandas-stubs"
-          - "scipy-stubs"
-          - "import-linter"
-          - "celery-types"
-          - "mypy*"
-          - "pyrefly"
-      python-packages:
+      python-dependencies:
         patterns:
           - "*"
   - package-ecosystem: "uv"
     directory: "/api"
-    open-pull-requests-limit: 10
+    open-pull-requests-limit: 2
     schedule:
       interval: "weekly"
     groups:
-      flask:
-        patterns:
-          - "flask"
-          - "flask-*"
-          - "werkzeug"
-          - "gunicorn"
-      google:
-        patterns:
-          - "google-*"
-          - "googleapis-*"
-      opentelemetry:
-        patterns:
-          - "opentelemetry-*"
-      pydantic:
-        patterns:
-          - "pydantic"
-          - "pydantic-*"
-      llm:
-        patterns:
-          - "langfuse"
-          - "langsmith"
-          - "litellm"
-          - "mlflow*"
-          - "opik"
-          - "weave*"
-          - "arize*"
-          - "tiktoken"
-          - "transformers"
-      database:
-        patterns:
-          - "sqlalchemy"
-          - "psycopg2*"
-          - "psycogreen"
-          - "redis*"
-          - "alembic*"
-      storage:
-        patterns:
-          - "boto3*"
-          - "botocore*"
-          - "azure-*"
-          - "bce-*"
-          - "cos-python-*"
-          - "esdk-obs-*"
-          - "google-cloud-storage"
-          - "opendal"
-          - "oss2"
-          - "supabase*"
-          - "tos*"
-      vdb:
-        patterns:
-          - "alibabacloud*"
-          - "chromadb"
-          - "clickhouse-*"
-          - "clickzetta-*"
-          - "couchbase"
-          - "elasticsearch"
-          - "opensearch-py"
-          - "oracledb"
-          - "pgvect*"
-          - "pymilvus"
-          - "pymochow"
-          - "pyobvector"
-          - "qdrant-client"
-          - "intersystems-*"
-          - "tablestore"
-          - "tcvectordb"
-          - "tidb-vector"
-          - "upstash-*"
-          - "volcengine-*"
-          - "weaviate-*"
-          - "xinference-*"
-          - "mo-vector"
-          - "mysql-connector-*"
-      dev:
-        patterns:
-          - "coverage"
-          - "dotenv-linter"
-          - "faker"
-          - "lxml-stubs"
-          - "basedpyright"
-          - "ruff"
-          - "pytest*"
-          - "types-*"
-          - "boto3-stubs"
-          - "hypothesis"
-          - "pandas-stubs"
-          - "scipy-stubs"
-          - "import-linter"
-          - "celery-types"
-          - "mypy*"
-          - "pyrefly"
-      python-packages:
+      uv-dependencies:
         patterns:
           - "*"
-  - package-ecosystem: "github-actions"
-    directory: "/"
-    open-pull-requests-limit: 5
+  - package-ecosystem: "npm"
+    directory: "/web"
     schedule:
       interval: "weekly"
+    open-pull-requests-limit: 2
+    ignore:
+      - dependency-name: "tailwind-merge"
+        update-types: ["version-update:semver-major"]
+      - dependency-name: "tailwindcss"
+        update-types: ["version-update:semver-major"]
+      - dependency-name: "react-syntax-highlighter"
+        update-types: ["version-update:semver-major"]
+      - dependency-name: "react-window"
+        update-types: ["version-update:semver-major"]
     groups:
-      github-actions-dependencies:
+      lexical:
+        patterns:
+          - "lexical"
+          - "@lexical/*"
+      storybook:
+        patterns:
+          - "storybook"
+          - "@storybook/*"
+      eslint-group:
+        patterns:
+          - "*eslint*"
+      npm-dependencies:
         patterns:
           - "*"
+        exclude-patterns:
+          - "lexical"
+          - "@lexical/*"
+          - "storybook"
+          - "@storybook/*"
+          - "*eslint*"

.github/workflows/anti-slop.yml

@@ -15,5 +15,3 @@ jobs:
       - uses: peakoss/anti-slop@v0
         with:
           github-token: ${{ secrets.GITHUB_TOKEN }}
-          close-pr: false
-          failure-add-pr-labels: "needs-revision"

.github/workflows/api-tests.yml

@@ -27,7 +27,7 @@ jobs:
           persist-credentials: false
 
       - name: Setup UV and Python
-        uses: astral-sh/setup-uv@e06108dd0aef18192324c70427afc47652e63a82 # v7.5.0
+        uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 # v7.3.1
         with:
           enable-cache: true
           python-version: ${{ matrix.python-version }}

.github/workflows/autofix.yml

@@ -39,7 +39,7 @@ jobs:
         with:
           python-version: "3.11"
 
-      - uses: astral-sh/setup-uv@e06108dd0aef18192324c70427afc47652e63a82 # v7.5.0
+      - uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 # v7.3.1
 
       - name: Generate Docker Compose
         if: steps.docker-compose-changes.outputs.any_changed == 'true'
@@ -102,11 +102,13 @@ jobs:
       - name: Setup web environment
         if: steps.web-changes.outputs.any_changed == 'true'
         uses: ./.github/actions/setup-web
+        with:
+          node-version: "24"
 
       - name: ESLint autofix
         if: steps.web-changes.outputs.any_changed == 'true'
         run: |
           cd web
-          vp exec eslint --concurrency=2 --prune-suppressions --quiet || true
+          pnpm eslint --concurrency=2 --prune-suppressions --quiet || true
 
       - uses: autofix-ci/action@7a166d7532b277f34e16238930461bf77f9d7ed8 # v1.3.3

.github/workflows/build-push.yml

@@ -113,7 +113,7 @@ jobs:
             context: "web"
     steps:
       - name: Download digests
-        uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
+        uses: actions/download-artifact@70fc10c6e5e1ce46ad2ea6f2b72d43f7d47b13c3 # v8.0.0
         with:
           path: /tmp/digests
           pattern: digests-${{ matrix.context }}-*

.github/workflows/db-migration-test.yml

@@ -19,7 +19,7 @@ jobs:
           persist-credentials: false
 
       - name: Setup UV and Python
-        uses: astral-sh/setup-uv@e06108dd0aef18192324c70427afc47652e63a82 # v7.5.0
+        uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 # v7.3.1
         with:
           enable-cache: true
           python-version: "3.12"
@@ -69,7 +69,7 @@ jobs:
           persist-credentials: false
 
       - name: Setup UV and Python
-        uses: astral-sh/setup-uv@e06108dd0aef18192324c70427afc47652e63a82 # v7.5.0
+        uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 # v7.3.1
         with:
           enable-cache: true
           python-version: "3.12"

.github/workflows/main-ci.yml

@@ -28,7 +28,7 @@ jobs:
       migration-changed: ${{ steps.changes.outputs.migration }}
     steps:
       - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
-      - uses: dorny/paths-filter@fbd0ab8f3e69293af611ebaee6363fc25e6d187d # v4.0.1
+      - uses: dorny/paths-filter@de90cc6fb38fc0963ad72b210f1f284cd68cea36 # v3.0.2
         id: changes
         with:
           filters: |
@@ -62,10 +62,6 @@ jobs:
     needs: check-changes
     if: needs.check-changes.outputs.web-changed == 'true'
     uses: ./.github/workflows/web-tests.yml
-    with:
-      base_sha: ${{ github.event.before || github.event.pull_request.base.sha }}
-      diff_range_mode: ${{ github.event.before && 'exact' || 'merge-base' }}
-      head_sha: ${{ github.event.after || github.event.pull_request.head.sha || github.sha }}
 
   style-check:
     name: Style Check

.github/workflows/pyrefly-diff.yml

@@ -22,7 +22,7 @@ jobs:
           fetch-depth: 0
 
       - name: Setup Python & UV
-        uses: astral-sh/setup-uv@e06108dd0aef18192324c70427afc47652e63a82 # v7.5.0
+        uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 # v7.3.1
         with:
           enable-cache: true
 

.github/workflows/style.yml

@@ -33,7 +33,7 @@ jobs:
 
       - name: Setup UV and Python
         if: steps.changed-files.outputs.any_changed == 'true'
-        uses: astral-sh/setup-uv@e06108dd0aef18192324c70427afc47652e63a82 # v7.5.0
+        uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 # v7.3.1
         with:
           enable-cache: false
           python-version: "3.12"
@@ -88,7 +88,7 @@ jobs:
         if: steps.changed-files.outputs.any_changed == 'true'
         working-directory: ./web
         run: |
-          vp run lint:ci
+          pnpm run lint:ci
         # pnpm run lint:report
         # continue-on-error: true
 
@@ -102,17 +102,17 @@ jobs:
       - name: Web tsslint
         if: steps.changed-files.outputs.any_changed == 'true'
         working-directory: ./web
-        run: vp run lint:tss
+        run: pnpm run lint:tss
 
       - name: Web type check
         if: steps.changed-files.outputs.any_changed == 'true'
         working-directory: ./web
-        run: vp run type-check
+        run: pnpm run type-check
 
       - name: Web dead code check
         if: steps.changed-files.outputs.any_changed == 'true'
         working-directory: ./web
-        run: vp run knip
+        run: pnpm run knip
 
   superlinter:
     name: SuperLinter

.github/workflows/translate-i18n-claude.yml

@@ -50,6 +50,8 @@ jobs:
 
       - name: Setup web environment
         uses: ./.github/actions/setup-web
+        with:
+          install-dependencies: "false"
 
       - name: Detect changed files and generate diff
         id: detect_changes
@@ -120,7 +122,7 @@ jobs:
 
       - name: Run Claude Code for Translation Sync
         if: steps.detect_changes.outputs.CHANGED_FILES != ''
-        uses: anthropics/claude-code-action@cd77b50d2b0808657f8e6774085c8bf54484351c # v1.0.72
+        uses: anthropics/claude-code-action@26ec041249acb0a944c0a47b6c0c13f05dbc5b44 # v1.0.70
         with:
           anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
           github_token: ${{ secrets.GITHUB_TOKEN }}

.github/workflows/vdb-tests.yml

@@ -31,7 +31,7 @@ jobs:
           remove_tool_cache: true
 
       - name: Setup UV and Python
-        uses: astral-sh/setup-uv@e06108dd0aef18192324c70427afc47652e63a82 # v7.5.0
+        uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 # v7.3.1
         with:
           enable-cache: true
           python-version: ${{ matrix.python-version }}

.github/workflows/web-tests.yml

@@ -2,16 +2,6 @@ name: Web Tests
 
 on:
   workflow_call:
-    inputs:
-      base_sha:
-        required: false
-        type: string
-      diff_range_mode:
-        required: false
-        type: string
-      head_sha:
-        required: false
-        type: string
 
 permissions:
   contents: read
@@ -24,8 +14,6 @@ jobs:
   test:
     name: Web Tests (${{ matrix.shardIndex }}/${{ matrix.shardTotal }})
     runs-on: ubuntu-latest
-    env:
-      VITEST_COVERAGE_SCOPE: app-components
     strategy:
       fail-fast: false
       matrix:
@@ -46,7 +34,7 @@ jobs:
         uses: ./.github/actions/setup-web
 
       - name: Run tests
-        run: vp test run --reporter=blob --shard=${{ matrix.shardIndex }}/${{ matrix.shardTotal }} --coverage
+        run: pnpm vitest run --reporter=blob --shard=${{ matrix.shardIndex }}/${{ matrix.shardTotal }} --coverage
 
       - name: Upload blob report
         if: ${{ !cancelled() }}
@@ -62,8 +50,6 @@ jobs:
     if: ${{ !cancelled() }}
     needs: [test]
     runs-on: ubuntu-latest
-    env:
-      VITEST_COVERAGE_SCOPE: app-components
     defaults:
       run:
         shell: bash
@@ -73,40 +59,22 @@ jobs:
       - name: Checkout code
         uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
         with:
-          fetch-depth: 0
           persist-credentials: false
 
       - name: Setup web environment
         uses: ./.github/actions/setup-web
 
       - name: Download blob reports
-        uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
+        uses: actions/download-artifact@70fc10c6e5e1ce46ad2ea6f2b72d43f7d47b13c3 # v8.0.0
         with:
           path: web/.vitest-reports
           pattern: blob-report-*
           merge-multiple: true
 
       - name: Merge reports
-        run: vp test --merge-reports --reporter=json --reporter=agent --coverage
+        run: pnpm vitest --merge-reports --coverage --silent=passed-only
 
-      - name: Report app/components baseline coverage
-        run: node ./scripts/report-components-coverage-baseline.mjs
-
-      - name: Report app/components test touch
-        env:
-          BASE_SHA: ${{ inputs.base_sha }}
-          DIFF_RANGE_MODE: ${{ inputs.diff_range_mode }}
-          HEAD_SHA: ${{ inputs.head_sha }}
-        run: node ./scripts/report-components-test-touch.mjs
-
-      - name: Check app/components pure diff coverage
-        env:
-          BASE_SHA: ${{ inputs.base_sha }}
-          DIFF_RANGE_MODE: ${{ inputs.diff_range_mode }}
-          HEAD_SHA: ${{ inputs.head_sha }}
-        run: node ./scripts/check-components-diff-coverage.mjs
-
-      - name: Check Coverage Summary
+      - name: Coverage Summary
         if: always()
         id: coverage-summary
         run: |
@@ -115,15 +83,313 @@ jobs:
           COVERAGE_FILE="coverage/coverage-final.json"
           COVERAGE_SUMMARY_FILE="coverage/coverage-summary.json"
 
-          if [ -f "$COVERAGE_FILE" ] || [ -f "$COVERAGE_SUMMARY_FILE" ]; then
-            echo "has_coverage=true" >> "$GITHUB_OUTPUT"
+          if [ ! -f "$COVERAGE_FILE" ] && [ ! -f "$COVERAGE_SUMMARY_FILE" ]; then
+            echo "has_coverage=false" >> "$GITHUB_OUTPUT"
+            echo "### 🚨 Test Coverage Report :test_tube:" >> "$GITHUB_STEP_SUMMARY"
+            echo "Coverage data not found. Ensure Vitest runs with coverage enabled." >> "$GITHUB_STEP_SUMMARY"
             exit 0
           fi
 
-          echo "has_coverage=false" >> "$GITHUB_OUTPUT"
-          echo "### 🚨 app/components Diff Coverage" >> "$GITHUB_STEP_SUMMARY"
-          echo "" >> "$GITHUB_STEP_SUMMARY"
-          echo "Coverage artifacts not found. Ensure Vitest merge reports ran with coverage enabled." >> "$GITHUB_STEP_SUMMARY"
+          echo "has_coverage=true" >> "$GITHUB_OUTPUT"
+
+          node <<'NODE' >> "$GITHUB_STEP_SUMMARY"
+          const fs = require('fs');
+          const path = require('path');
+          let libCoverage = null;
+
+          try {
+            libCoverage = require('istanbul-lib-coverage');
+          } catch (error) {
+            libCoverage = null;
+          }
+
+          const summaryPath = path.join('coverage', 'coverage-summary.json');
+          const finalPath = path.join('coverage', 'coverage-final.json');
+
+          const hasSummary = fs.existsSync(summaryPath);
+          const hasFinal = fs.existsSync(finalPath);
+
+          if (!hasSummary && !hasFinal) {
+            console.log('### Test Coverage Summary :test_tube:');
+            console.log('');
+            console.log('No coverage data found.');
+            process.exit(0);
+          }
+
+          const summary = hasSummary
+            ? JSON.parse(fs.readFileSync(summaryPath, 'utf8'))
+            : null;
+          const coverage = hasFinal
+            ? JSON.parse(fs.readFileSync(finalPath, 'utf8'))
+            : null;
+
+          const getLineCoverageFromStatements = (statementMap, statementHits) => {
+            const lineHits = {};
+
+            if (!statementMap || !statementHits) {
+              return lineHits;
+            }
+
+            Object.entries(statementMap).forEach(([key, statement]) => {
+              const line = statement?.start?.line;
+              if (!line) {
+                return;
+              }
+              const hits = statementHits[key] ?? 0;
+              const previous = lineHits[line];
+              lineHits[line] = previous === undefined ? hits : Math.max(previous, hits);
+            });
+
+            return lineHits;
+          };
+
+          const getFileCoverage = (entry) => (
+            libCoverage ? libCoverage.createFileCoverage(entry) : null
+          );
+
+          const getLineHits = (entry, fileCoverage) => {
+            const lineHits = entry.l ?? {};
+            if (Object.keys(lineHits).length > 0) {
+              return lineHits;
+            }
+            if (fileCoverage) {
+              return fileCoverage.getLineCoverage();
+            }
+            return getLineCoverageFromStatements(entry.statementMap ?? {}, entry.s ?? {});
+          };
+
+          const getUncoveredLines = (entry, fileCoverage, lineHits) => {
+            if (lineHits && Object.keys(lineHits).length > 0) {
+              return Object.entries(lineHits)
+                .filter(([, count]) => count === 0)
+                .map(([line]) => Number(line))
+                .sort((a, b) => a - b);
+            }
+            if (fileCoverage) {
+              return fileCoverage.getUncoveredLines();
+            }
+            return [];
+          };
+
+          const totals = {
+            lines: { covered: 0, total: 0 },
+            statements: { covered: 0, total: 0 },
+            branches: { covered: 0, total: 0 },
+            functions: { covered: 0, total: 0 },
+          };
+          const fileSummaries = [];
+
+          if (summary) {
+            const totalEntry = summary.total ?? {};
+            ['lines', 'statements', 'branches', 'functions'].forEach((key) => {
+              if (totalEntry[key]) {
+                totals[key].covered = totalEntry[key].covered ?? 0;
+                totals[key].total = totalEntry[key].total ?? 0;
+              }
+            });
+
+            Object.entries(summary)
+              .filter(([file]) => file !== 'total')
+              .forEach(([file, data]) => {
+                fileSummaries.push({
+                  file,
+                  pct: data.lines?.pct ?? data.statements?.pct ?? 0,
+                  lines: {
+                    covered: data.lines?.covered ?? 0,
+                    total: data.lines?.total ?? 0,
+                  },
+                });
+              });
+          } else if (coverage) {
+            Object.entries(coverage).forEach(([file, entry]) => {
+              const fileCoverage = getFileCoverage(entry);
+              const lineHits = getLineHits(entry, fileCoverage);
+              const statementHits = entry.s ?? {};
+              const branchHits = entry.b ?? {};
+              const functionHits = entry.f ?? {};
+
+              const lineTotal = Object.keys(lineHits).length;
+              const lineCovered = Object.values(lineHits).filter((n) => n > 0).length;
+
+              const statementTotal = Object.keys(statementHits).length;
+              const statementCovered = Object.values(statementHits).filter((n) => n > 0).length;
+
+              const branchTotal = Object.values(branchHits).reduce((acc, branches) => acc + branches.length, 0);
+              const branchCovered = Object.values(branchHits).reduce(
+                (acc, branches) => acc + branches.filter((n) => n > 0).length,
+                0,
+              );
+
+              const functionTotal = Object.keys(functionHits).length;
+              const functionCovered = Object.values(functionHits).filter((n) => n > 0).length;
+
+              totals.lines.total += lineTotal;
+              totals.lines.covered += lineCovered;
+              totals.statements.total += statementTotal;
+              totals.statements.covered += statementCovered;
+              totals.branches.total += branchTotal;
+              totals.branches.covered += branchCovered;
+              totals.functions.total += functionTotal;
+              totals.functions.covered += functionCovered;
+
+              const pct = (covered, tot) => (tot > 0 ? (covered / tot) * 100 : 0);
+
+              fileSummaries.push({
+                file,
+                pct: pct(lineCovered || statementCovered, lineTotal || statementTotal),
+                lines: {
+                  covered: lineCovered || statementCovered,
+                  total: lineTotal || statementTotal,
+                },
+              });
+            });
+          }
+
+          const pct = (covered, tot) => (tot > 0 ? ((covered / tot) * 100).toFixed(2) : '0.00');
+
+          console.log('### Test Coverage Summary :test_tube:');
+          console.log('');
+          console.log('| Metric | Coverage | Covered / Total |');
+          console.log('|--------|----------|-----------------|');
+          console.log(`| Lines | ${pct(totals.lines.covered, totals.lines.total)}% | ${totals.lines.covered} / ${totals.lines.total} |`);
+          console.log(`| Statements | ${pct(totals.statements.covered, totals.statements.total)}% | ${totals.statements.covered} / ${totals.statements.total} |`);
+          console.log(`| Branches | ${pct(totals.branches.covered, totals.branches.total)}% | ${totals.branches.covered} / ${totals.branches.total} |`);
+          console.log(`| Functions | ${pct(totals.functions.covered, totals.functions.total)}% | ${totals.functions.covered} / ${totals.functions.total} |`);
+
+          console.log('');
+          console.log('<details><summary>File coverage (lowest lines first)</summary>');
+          console.log('');
+          console.log('```');
+          fileSummaries
+            .sort((a, b) => (a.pct - b.pct) || (b.lines.total - a.lines.total))
+            .slice(0, 25)
+            .forEach(({ file, pct, lines }) => {
+              console.log(`${pct.toFixed(2)}%\t${lines.covered}/${lines.total}\t${file}`);
+            });
+          console.log('```');
+          console.log('</details>');
+
+          if (coverage) {
+            const pctValue = (covered, tot) => {
+              if (tot === 0) {
+                return '0';
+              }
+              return ((covered / tot) * 100)
+                .toFixed(2)
+                .replace(/\.?0+$/, '');
+            };
+
+            const formatLineRanges = (lines) => {
+              if (lines.length === 0) {
+                return '';
+              }
+              const ranges = [];
+              let start = lines[0];
+              let end = lines[0];
+
+              for (let i = 1; i < lines.length; i += 1) {
+                const current = lines[i];
+                if (current === end + 1) {
+                  end = current;
+                  continue;
+                }
+                ranges.push(start === end ? `${start}` : `${start}-${end}`);
+                start = current;
+                end = current;
+              }
+              ranges.push(start === end ? `${start}` : `${start}-${end}`);
+              return ranges.join(',');
+            };
+
+            const tableTotals = {
+              statements: { covered: 0, total: 0 },
+              branches: { covered: 0, total: 0 },
+              functions: { covered: 0, total: 0 },
+              lines: { covered: 0, total: 0 },
+            };
+            const tableRows = Object.entries(coverage)
+              .map(([file, entry]) => {
+                const fileCoverage = getFileCoverage(entry);
+                const lineHits = getLineHits(entry, fileCoverage);
+                const statementHits = entry.s ?? {};
+                const branchHits = entry.b ?? {};
+                const functionHits = entry.f ?? {};
+
+                const lineTotal = Object.keys(lineHits).length;
+                const lineCovered = Object.values(lineHits).filter((n) => n > 0).length;
+                const statementTotal = Object.keys(statementHits).length;
+                const statementCovered = Object.values(statementHits).filter((n) => n > 0).length;
+                const branchTotal = Object.values(branchHits).reduce((acc, branches) => acc + branches.length, 0);
+                const branchCovered = Object.values(branchHits).reduce(
+                  (acc, branches) => acc + branches.filter((n) => n > 0).length,
+                  0,
+                );
+                const functionTotal = Object.keys(functionHits).length;
+                const functionCovered = Object.values(functionHits).filter((n) => n > 0).length;
+
+                tableTotals.lines.total += lineTotal;
+                tableTotals.lines.covered += lineCovered;
+                tableTotals.statements.total += statementTotal;
+                tableTotals.statements.covered += statementCovered;
+                tableTotals.branches.total += branchTotal;
+                tableTotals.branches.covered += branchCovered;
+                tableTotals.functions.total += functionTotal;
+                tableTotals.functions.covered += functionCovered;
+
+                const uncoveredLines = getUncoveredLines(entry, fileCoverage, lineHits);
+
+                const filePath = entry.path ?? file;
+                const relativePath = path.isAbsolute(filePath)
+                  ? path.relative(process.cwd(), filePath)
+                  : filePath;
+
+                return {
+                  file: relativePath || file,
+                  statements: pctValue(statementCovered, statementTotal),
+                  branches: pctValue(branchCovered, branchTotal),
+                  functions: pctValue(functionCovered, functionTotal),
+                  lines: pctValue(lineCovered, lineTotal),
+                  uncovered: formatLineRanges(uncoveredLines),
+                };
+              })
+              .sort((a, b) => a.file.localeCompare(b.file));
+
+            const columns = [
+              { key: 'file', header: 'File', align: 'left' },
+              { key: 'statements', header: '% Stmts', align: 'right' },
+              { key: 'branches', header: '% Branch', align: 'right' },
+              { key: 'functions', header: '% Funcs', align: 'right' },
+              { key: 'lines', header: '% Lines', align: 'right' },
+              { key: 'uncovered', header: 'Uncovered Line #s', align: 'left' },
+            ];
+
+            const allFilesRow = {
+              file: 'All files',
+              statements: pctValue(tableTotals.statements.covered, tableTotals.statements.total),
+              branches: pctValue(tableTotals.branches.covered, tableTotals.branches.total),
+              functions: pctValue(tableTotals.functions.covered, tableTotals.functions.total),
+              lines: pctValue(tableTotals.lines.covered, tableTotals.lines.total),
+              uncovered: '',
+            };
+
+            const rowsForOutput = [allFilesRow, ...tableRows];
+            const formatRow = (row) => `| ${columns
+              .map(({ key }) => String(row[key] ?? ''))
+              .join(' | ')} |`;
+            const headerRow = `| ${columns.map(({ header }) => header).join(' | ')} |`;
+            const dividerRow = `| ${columns
+              .map(({ align }) => (align === 'right' ? '---:' : ':---'))
+              .join(' | ')} |`;
+
+            console.log('');
+            console.log('<details><summary>Vitest coverage table</summary>');
+            console.log('');
+            console.log(headerRow);
+            console.log(dividerRow);
+            rowsForOutput.forEach((row) => console.log(formatRow(row)));
+            console.log('</details>');
+          }
+          NODE
 
       - name: Upload Coverage Artifact
         if: steps.coverage-summary.outputs.has_coverage == 'true'
@@ -163,4 +429,4 @@ jobs:
       - name: Web build check
         if: steps.changed-files.outputs.any_changed == 'true'
         working-directory: ./web
-        run: vp run build
+        run: pnpm run build

.gitignore

@@ -237,6 +237,3 @@ scripts/stress-test/reports/
 # settings
 *.local.json
 *.local.md
-
-# Code Agent Folder
-.qoder/*

api/.env.example

@@ -22,10 +22,10 @@ APP_WEB_URL=http://localhost:3000
 # Files URL
 FILES_URL=http://localhost:5001
 
-# INTERNAL_FILES_URL is used by services running in Docker to reach the API file endpoints.
-# For Docker Desktop (Mac/Windows), use http://host.docker.internal:5001 when the API runs on the host.
-# For Docker Compose on Linux, use http://api:5001 when the API runs inside the Docker network.
-INTERNAL_FILES_URL=http://host.docker.internal:5001
+# INTERNAL_FILES_URL is used for plugin daemon communication within Docker network.
+# Set this to the internal Docker service URL for proper plugin file access.
+# Example: INTERNAL_FILES_URL=http://api:5001
+INTERNAL_FILES_URL=http://127.0.0.1:5001
 
 # TRIGGER URL
 TRIGGER_URL=http://localhost:5001
@@ -180,7 +180,7 @@ CONSOLE_CORS_ALLOW_ORIGINS=http://localhost:3000,*
 COOKIE_DOMAIN=
 
 # Vector database configuration
-# Supported values are `weaviate`, `oceanbase`, `qdrant`, `milvus`, `myscale`, `relyt`, `pgvector`, `pgvecto-rs`, `chroma`, `opensearch`, `oracle`, `tencent`, `elasticsearch`, `elasticsearch-ja`, `analyticdb`, `couchbase`, `vikingdb`,  `opengauss`, `tablestore`,`vastbase`,`tidb`,`tidb_on_qdrant`,`baidu`,`lindorm`,`huawei_cloud`,`upstash`, `matrixone`, `hologres`.
+# Supported values are `weaviate`, `oceanbase`, `qdrant`, `milvus`, `myscale`, `relyt`, `pgvector`, `pgvecto-rs`, `chroma`, `opensearch`, `oracle`, `tencent`, `elasticsearch`, `elasticsearch-ja`, `analyticdb`, `couchbase`, `vikingdb`,  `opengauss`, `tablestore`,`vastbase`,`tidb`,`tidb_on_qdrant`,`baidu`,`lindorm`,`huawei_cloud`,`upstash`, `matrixone`.
 VECTOR_STORE=weaviate
 # Prefix used to create collection name in vector database
 VECTOR_INDEX_NAME_PREFIX=Vector_index
@@ -188,6 +188,7 @@ VECTOR_INDEX_NAME_PREFIX=Vector_index
 # Weaviate configuration
 WEAVIATE_ENDPOINT=http://localhost:8080
 WEAVIATE_API_KEY=WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih
+WEAVIATE_GRPC_ENABLED=false
 WEAVIATE_BATCH_SIZE=100
 WEAVIATE_TOKENIZATION=word
 
@@ -217,20 +218,6 @@ COUCHBASE_PASSWORD=password
 COUCHBASE_BUCKET_NAME=Embeddings
 COUCHBASE_SCOPE_NAME=_default
 
-# Hologres configuration
-# access_key_id is used as the PG username, access_key_secret is used as the PG password
-HOLOGRES_HOST=
-HOLOGRES_PORT=80
-HOLOGRES_DATABASE=
-HOLOGRES_ACCESS_KEY_ID=
-HOLOGRES_ACCESS_KEY_SECRET=
-HOLOGRES_SCHEMA=public
-HOLOGRES_TOKENIZER=jieba
-HOLOGRES_DISTANCE_METHOD=Cosine
-HOLOGRES_BASE_QUANTIZATION_TYPE=rabitq
-HOLOGRES_MAX_DEGREE=64
-HOLOGRES_EF_CONSTRUCTION=400
-
 # Milvus configuration
 MILVUS_URI=http://127.0.0.1:19530
 MILVUS_TOKEN=
@@ -737,25 +724,24 @@ SANDBOX_EXPIRED_RECORDS_RETENTION_DAYS=30
 SANDBOX_EXPIRED_RECORDS_CLEAN_TASK_LOCK_TTL=90000
 
 
-# Redis URL used for event bus between API and
+# Redis URL used for PubSub between API and
 # celery worker
 # defaults to url constructed from `REDIS_*`
 # configurations
-EVENT_BUS_REDIS_URL=
-# Event transport type. Options are:
+PUBSUB_REDIS_URL=
+# Pub/sub channel type for streaming events.
+# valid options are:
 #
-#  - pubsub: normal Pub/Sub (at-most-once)
-#  - sharded: sharded Pub/Sub (at-most-once)
-#  - streams: Redis Streams (at-least-once, recommended to avoid subscriber races)
+# - pubsub: for normal Pub/Sub
+# - sharded: for sharded Pub/Sub
 #
-# Note: Before enabling 'streams' in production, estimate your expected event volume and retention needs.
-# Configure Redis memory limits and stream trimming appropriately (e.g., MAXLEN and key expiry) to reduce
-# the risk of data loss from Redis auto-eviction under memory pressure.
-# Also accepts ENV: EVENT_BUS_REDIS_CHANNEL_TYPE.
-EVENT_BUS_REDIS_CHANNEL_TYPE=pubsub
-# Whether to use Redis cluster mode while use redis as event bus.
+# It's highly recommended to use sharded Pub/Sub AND redis cluster
+# for large deployments.
+PUBSUB_REDIS_CHANNEL_TYPE=pubsub
+# Whether to use Redis cluster mode while running
+# PubSub.
 #  It's highly recommended to enable this for large deployments.
-EVENT_BUS_REDIS_USE_CLUSTERS=false
+PUBSUB_REDIS_USE_CLUSTERS=false
 
 # Whether to Enable human input timeout check task
 ENABLE_HUMAN_INPUT_TIMEOUT_TASK=true

api/.importlinter

@@ -43,6 +43,7 @@ forbidden_modules =
     extensions.ext_redis
 allow_indirect_imports = True
 ignore_imports =
+    dify_graph.nodes.agent.agent_node -> extensions.ext_database
     dify_graph.nodes.llm.node -> extensions.ext_database
     dify_graph.model_runtime.model_providers.__base.ai_model -> extensions.ext_redis
     dify_graph.model_runtime.model_providers.model_provider_factory -> extensions.ext_redis
@@ -89,6 +90,9 @@ forbidden_modules =
     core.trigger
     core.variables
 ignore_imports =
+    dify_graph.nodes.agent.agent_node -> core.model_manager
+    dify_graph.nodes.agent.agent_node -> core.provider_manager
+    dify_graph.nodes.agent.agent_node -> core.tools.tool_manager
     dify_graph.nodes.llm.llm_utils -> core.model_manager
     dify_graph.nodes.llm.protocols -> core.model_manager
     dify_graph.nodes.llm.llm_utils -> dify_graph.model_runtime.model_providers.__base.large_language_model
@@ -96,6 +100,9 @@ ignore_imports =
     dify_graph.nodes.tool.tool_node -> core.callback_handler.workflow_tool_callback_handler
     dify_graph.nodes.tool.tool_node -> core.tools.tool_engine
     dify_graph.nodes.tool.tool_node -> core.tools.tool_manager
+    dify_graph.nodes.agent.agent_node -> core.agent.entities
+    dify_graph.nodes.agent.agent_node -> core.agent.plugin_entities
+    dify_graph.nodes.knowledge_retrieval.knowledge_retrieval_node -> core.app.app_config.entities
     dify_graph.nodes.parameter_extractor.parameter_extractor_node -> core.prompt.advanced_prompt_transform
     dify_graph.nodes.parameter_extractor.parameter_extractor_node -> core.prompt.simple_prompt_transform
     dify_graph.nodes.parameter_extractor.parameter_extractor_node -> dify_graph.model_runtime.model_providers.__base.large_language_model
@@ -103,9 +110,12 @@ ignore_imports =
     dify_graph.nodes.parameter_extractor.parameter_extractor_node -> core.model_manager
     dify_graph.nodes.question_classifier.question_classifier_node -> core.model_manager
     dify_graph.nodes.tool.tool_node -> core.tools.utils.message_transformer
+    dify_graph.nodes.agent.agent_node -> models.model
+    dify_graph.nodes.llm.node -> core.helper.code_executor
     dify_graph.nodes.llm.node -> core.llm_generator.output_parser.errors
     dify_graph.nodes.llm.node -> core.llm_generator.output_parser.structured_output
     dify_graph.nodes.llm.node -> core.model_manager
+    dify_graph.nodes.agent.entities -> core.prompt.entities.advanced_prompt_entities
     dify_graph.nodes.llm.entities -> core.prompt.entities.advanced_prompt_entities
     dify_graph.nodes.llm.node -> core.prompt.entities.advanced_prompt_entities
     dify_graph.nodes.llm.node -> core.prompt.utils.prompt_message_util
@@ -114,12 +124,17 @@ ignore_imports =
     dify_graph.nodes.parameter_extractor.parameter_extractor_node -> core.prompt.utils.prompt_message_util
     dify_graph.nodes.question_classifier.entities -> core.prompt.entities.advanced_prompt_entities
     dify_graph.nodes.question_classifier.question_classifier_node -> core.prompt.utils.prompt_message_util
+    dify_graph.nodes.knowledge_index.entities -> core.rag.retrieval.retrieval_methods
     dify_graph.nodes.llm.node -> models.dataset
+    dify_graph.nodes.agent.agent_node -> core.tools.utils.message_transformer
     dify_graph.nodes.llm.file_saver -> core.tools.signature
     dify_graph.nodes.llm.file_saver -> core.tools.tool_file_manager
     dify_graph.nodes.tool.tool_node -> core.tools.errors
+    dify_graph.nodes.agent.agent_node -> extensions.ext_database
     dify_graph.nodes.llm.node -> extensions.ext_database
+    dify_graph.nodes.agent.agent_node -> models
     dify_graph.nodes.llm.node -> models.model
+    dify_graph.nodes.agent.agent_node -> services
     dify_graph.nodes.tool.tool_node -> services
     dify_graph.model_runtime.model_providers.__base.ai_model -> configs
     dify_graph.model_runtime.model_providers.__base.ai_model -> extensions.ext_redis

api/AGENTS.md

@@ -78,7 +78,7 @@ class UserProfile(TypedDict):
     nickname: NotRequired[str]
 ```
 
-- For classes, declare all member variables explicitly with types at the top of the class body (before `__init__`), even when the class is not a dataclass or Pydantic model, so the class shape is obvious at a glance:
+- For classes, declare member variables at the top of the class body (before `__init__`) so the class shape is obvious at a glance:
 
 ```python
 from datetime import datetime

api/Dockerfile

@@ -97,7 +97,7 @@ ENV PATH="${VIRTUAL_ENV}/bin:${PATH}"
 
 # Download nltk data
 RUN mkdir -p /usr/local/share/nltk_data \
-    && NLTK_DATA=/usr/local/share/nltk_data python -c "import nltk; nltk.download('punkt'); nltk.download('averaged_perceptron_tagger'); nltk.download('stopwords')" \
+    && NLTK_DATA=/usr/local/share/nltk_data python -c "import nltk; from unstructured.nlp.tokenize import download_nltk_packages; nltk.download('punkt'); nltk.download('averaged_perceptron_tagger'); nltk.download('stopwords'); download_nltk_packages()" \
     && chmod -R 755 /usr/local/share/nltk_data
 
 ENV TIKTOKEN_CACHE_DIR=/app/api/.tiktoken_cache

api/app_factory.py

@@ -1,45 +1,16 @@
 import logging
 import time
 
-from flask import request
 from opentelemetry.trace import get_current_span
 from opentelemetry.trace.span import INVALID_SPAN_ID, INVALID_TRACE_ID
 
 from configs import dify_config
 from contexts.wrapper import RecyclableContextVar
-from controllers.console.error import UnauthorizedAndForceLogout
 from core.logging.context import init_request_context
 from dify_app import DifyApp
-from services.enterprise.enterprise_service import EnterpriseService
-from services.feature_service import LicenseStatus
 
 logger = logging.getLogger(__name__)
 
-# Console bootstrap APIs exempt from license check.
-# Defined at module level to avoid per-request tuple construction.
-# - system-features: license status for expiry UI (GlobalPublicStoreProvider)
-# - setup: install/setup status check (AppInitializer)
-# - init: init password validation for fresh install (InitPasswordPopup)
-# - login: auto-login after setup completion (InstallForm)
-# - features: billing/plan features (ProviderContextProvider)
-# - account/profile: login check + user profile (AppContextProvider, useIsLogin)
-# - workspaces/current: workspace + model providers (AppContextProvider)
-# - version: version check (AppContextProvider)
-# - activate/check: invitation link validation (signin page)
-# Without these exemptions, the signin page triggers location.reload()
-# on unauthorized_and_force_logout, causing an infinite loop.
-_CONSOLE_EXEMPT_PREFIXES = (
-    "/console/api/system-features",
-    "/console/api/setup",
-    "/console/api/init",
-    "/console/api/login",
-    "/console/api/features",
-    "/console/api/account/profile",
-    "/console/api/workspaces/current",
-    "/console/api/version",
-    "/console/api/activate/check",
-)
-
 
 # ----------------------------
 # Application Factory Function
@@ -60,39 +31,6 @@ def create_flask_app_with_configs() -> DifyApp:
         init_request_context()
         RecyclableContextVar.increment_thread_recycles()
 
-        # Enterprise license validation for API endpoints (both console and webapp)
-        # When license expires, block all API access except bootstrap endpoints needed
-        # for the frontend to load the license expiration page without infinite reloads.
-        if dify_config.ENTERPRISE_ENABLED:
-            is_console_api = request.path.startswith("/console/api/")
-            is_webapp_api = request.path.startswith("/api/")
-
-            if is_console_api or is_webapp_api:
-                if is_console_api:
-                    is_exempt = any(request.path.startswith(p) for p in _CONSOLE_EXEMPT_PREFIXES)
-                else:  # webapp API
-                    is_exempt = request.path.startswith("/api/system-features")
-
-                if not is_exempt:
-                    try:
-                        # Check license status (cached — see EnterpriseService for TTL details)
-                        license_status = EnterpriseService.get_cached_license_status()
-                        if license_status in (LicenseStatus.INACTIVE, LicenseStatus.EXPIRED, LicenseStatus.LOST):
-                            raise UnauthorizedAndForceLogout(
-                                f"Enterprise license is {license_status}. Please contact your administrator."
-                            )
-                        if license_status is None:
-                            raise UnauthorizedAndForceLogout(
-                                "Unable to verify enterprise license. Please contact your administrator."
-                            )
-                    except UnauthorizedAndForceLogout:
-                        raise
-                    except Exception:
-                        logger.exception("Failed to check enterprise license status")
-                        raise UnauthorizedAndForceLogout(
-                            "Unable to verify enterprise license. Please contact your administrator."
-                        )
-
     # add after request hook for injecting trace headers from OpenTelemetry span context
     # Only adds headers when OTEL is enabled and has valid context
     @dify_app.after_request

api/commands/retention.py

@@ -88,8 +88,6 @@ def clean_workflow_runs(
     """
     Clean workflow runs and related workflow data for free tenants.
     """
-    from extensions.otel.runtime import flush_telemetry
-
     if (start_from is None) ^ (end_before is None):
         raise click.UsageError("--start-from and --end-before must be provided together.")
 
@@ -106,27 +104,16 @@ def clean_workflow_runs(
         end_before = now - datetime.timedelta(days=to_days_ago)
         before_days = 0
 
-    if from_days_ago is not None and to_days_ago is not None:
-        task_label = f"{from_days_ago}to{to_days_ago}"
-    elif start_from is None:
-        task_label = f"before-{before_days}"
-    else:
-        task_label = "custom"
-
     start_time = datetime.datetime.now(datetime.UTC)
     click.echo(click.style(f"Starting workflow run cleanup at {start_time.isoformat()}.", fg="white"))
 
-    try:
-        WorkflowRunCleanup(
-            days=before_days,
-            batch_size=batch_size,
-            start_from=start_from,
-            end_before=end_before,
-            dry_run=dry_run,
-            task_label=task_label,
-        ).run()
-    finally:
-        flush_telemetry()
+    WorkflowRunCleanup(
+        days=before_days,
+        batch_size=batch_size,
+        start_from=start_from,
+        end_before=end_before,
+        dry_run=dry_run,
+    ).run()
 
     end_time = datetime.datetime.now(datetime.UTC)
     elapsed = end_time - start_time
@@ -672,8 +659,6 @@ def clean_expired_messages(
     """
     Clean expired messages and related data for tenants based on clean policy.
     """
-    from extensions.otel.runtime import flush_telemetry
-
     click.echo(click.style("clean_messages: start clean messages.", fg="green"))
 
     start_at = time.perf_counter()
@@ -713,13 +698,6 @@ def clean_expired_messages(
         # NOTE: graceful_period will be ignored when billing is disabled.
         policy = create_message_clean_policy(graceful_period_days=graceful_period)
 
-        if from_days_ago is not None and before_days is not None:
-            task_label = f"{from_days_ago}to{before_days}"
-        elif start_from is None and before_days is not None:
-            task_label = f"before-{before_days}"
-        else:
-            task_label = "custom"
-
         # Create and run the cleanup service
         if abs_mode:
             assert start_from is not None
@@ -730,7 +708,6 @@ def clean_expired_messages(
                 end_before=end_before,
                 batch_size=batch_size,
                 dry_run=dry_run,
-                task_label=task_label,
             )
         elif from_days_ago is None:
             assert before_days is not None
@@ -739,7 +716,6 @@ def clean_expired_messages(
                 days=before_days,
                 batch_size=batch_size,
                 dry_run=dry_run,
-                task_label=task_label,
             )
         else:
             assert before_days is not None
@@ -751,7 +727,6 @@ def clean_expired_messages(
                 end_before=now - datetime.timedelta(days=before_days),
                 batch_size=batch_size,
                 dry_run=dry_run,
-                task_label=task_label,
             )
         stats = service.run()
 
@@ -777,8 +752,6 @@ def clean_expired_messages(
             )
         )
         raise
-    finally:
-        flush_telemetry()
 
     click.echo(click.style("messages cleanup completed.", fg="green"))
 

api/commands/vector.py

@@ -160,7 +160,6 @@ def migrate_knowledge_vector_database():
     }
     lower_collection_vector_types = {
         VectorType.ANALYTICDB,
-        VectorType.HOLOGRES,
         VectorType.CHROMA,
         VectorType.MYSCALE,
         VectorType.PGVECTO_RS,

api/configs/middleware/__init__.py

@@ -26,7 +26,6 @@ from .vdb.chroma_config import ChromaConfig
 from .vdb.clickzetta_config import ClickzettaConfig
 from .vdb.couchbase_config import CouchbaseConfig
 from .vdb.elasticsearch_config import ElasticsearchConfig
-from .vdb.hologres_config import HologresConfig
 from .vdb.huawei_cloud_config import HuaweiCloudConfig
 from .vdb.iris_config import IrisVectorConfig
 from .vdb.lindorm_config import LindormConfig
@@ -348,7 +347,6 @@ class MiddlewareConfig(
     AnalyticdbConfig,
     ChromaConfig,
     ClickzettaConfig,
-    HologresConfig,
     HuaweiCloudConfig,
     IrisVectorConfig,
     MilvusConfig,

api/configs/middleware/cache/redis_config.py

@@ -1,4 +1,4 @@
-from pydantic import Field, NonNegativeInt, PositiveFloat, PositiveInt, field_validator
+from pydantic import Field, NonNegativeInt, PositiveFloat, PositiveInt
 from pydantic_settings import BaseSettings
 
 
@@ -116,13 +116,3 @@ class RedisConfig(BaseSettings):
         description="Maximum connections in the Redis connection pool (unset for library default)",
         default=None,
     )
-
-    @field_validator("REDIS_MAX_CONNECTIONS", mode="before")
-    @classmethod
-    def _empty_string_to_none_for_max_conns(cls, v):
-        """Allow empty string in env/.env to mean 'unset' (None)."""
-        if v is None:
-            return None
-        if isinstance(v, str) and v.strip() == "":
-            return None
-        return v

api/configs/middleware/cache/redis_pubsub_config.py

@@ -1,4 +1,4 @@
-from typing import Literal, Protocol, cast
+from typing import Literal, Protocol
 from urllib.parse import quote_plus, urlunparse
 
 from pydantic import AliasChoices, Field
@@ -12,13 +12,16 @@ class RedisConfigDefaults(Protocol):
     REDIS_PASSWORD: str | None
     REDIS_DB: int
     REDIS_USE_SSL: bool
+    REDIS_USE_SENTINEL: bool | None
+    REDIS_USE_CLUSTERS: bool
 
 
-def _redis_defaults(config: object) -> RedisConfigDefaults:
-    return cast(RedisConfigDefaults, config)
+class RedisConfigDefaultsMixin:
+    def _redis_defaults(self: RedisConfigDefaults) -> RedisConfigDefaults:
+        return self
 
 
-class RedisPubSubConfig(BaseSettings):
+class RedisPubSubConfig(BaseSettings, RedisConfigDefaultsMixin):
     """
     Configuration settings for event transport between API and workers.
 
@@ -38,10 +41,10 @@ class RedisPubSubConfig(BaseSettings):
     )
 
     PUBSUB_REDIS_USE_CLUSTERS: bool = Field(
-        validation_alias=AliasChoices("EVENT_BUS_REDIS_USE_CLUSTERS", "PUBSUB_REDIS_USE_CLUSTERS"),
+        validation_alias=AliasChoices("EVENT_BUS_REDIS_CLUSTERS", "PUBSUB_REDIS_USE_CLUSTERS"),
         description=(
             "Enable Redis Cluster mode for pub/sub or streams transport. Recommended for large deployments. "
-            "Also accepts ENV: EVENT_BUS_REDIS_USE_CLUSTERS."
+            "Also accepts ENV: EVENT_BUS_REDIS_CLUSTERS."
         ),
         default=False,
     )
@@ -71,7 +74,7 @@ class RedisPubSubConfig(BaseSettings):
     )
 
     def _build_default_pubsub_url(self) -> str:
-        defaults = _redis_defaults(self)
+        defaults = self._redis_defaults()
         if not defaults.REDIS_HOST or not defaults.REDIS_PORT:
             raise ValueError("PUBSUB_REDIS_URL must be set when default Redis URL cannot be constructed")
 
@@ -88,9 +91,11 @@ class RedisPubSubConfig(BaseSettings):
         if userinfo:
             userinfo = f"{userinfo}@"
 
+        host = defaults.REDIS_HOST
+        port = defaults.REDIS_PORT
         db = defaults.REDIS_DB
 
-        netloc = f"{userinfo}{defaults.REDIS_HOST}:{defaults.REDIS_PORT}"
+        netloc = f"{userinfo}{host}:{port}"
         return urlunparse((scheme, netloc, f"/{db}", "", "", ""))
 
     @property

api/configs/middleware/vdb/hologres_config.py

@@ -1,68 +0,0 @@
-from holo_search_sdk.types import BaseQuantizationType, DistanceType, TokenizerType
-from pydantic import Field
-from pydantic_settings import BaseSettings
-
-
-class HologresConfig(BaseSettings):
-    """
-    Configuration settings for Hologres vector database.
-
-    Hologres is compatible with PostgreSQL protocol.
-    access_key_id is used as the PostgreSQL username,
-    and access_key_secret is used as the PostgreSQL password.
-    """
-
-    HOLOGRES_HOST: str | None = Field(
-        description="Hostname or IP address of the Hologres instance.",
-        default=None,
-    )
-
-    HOLOGRES_PORT: int = Field(
-        description="Port number for connecting to the Hologres instance.",
-        default=80,
-    )
-
-    HOLOGRES_DATABASE: str | None = Field(
-        description="Name of the Hologres database to connect to.",
-        default=None,
-    )
-
-    HOLOGRES_ACCESS_KEY_ID: str | None = Field(
-        description="Alibaba Cloud AccessKey ID, also used as the PostgreSQL username.",
-        default=None,
-    )
-
-    HOLOGRES_ACCESS_KEY_SECRET: str | None = Field(
-        description="Alibaba Cloud AccessKey Secret, also used as the PostgreSQL password.",
-        default=None,
-    )
-
-    HOLOGRES_SCHEMA: str = Field(
-        description="Schema name in the Hologres database.",
-        default="public",
-    )
-
-    HOLOGRES_TOKENIZER: TokenizerType = Field(
-        description="Tokenizer for full-text search index (e.g., 'jieba', 'ik', 'standard', 'simple').",
-        default="jieba",
-    )
-
-    HOLOGRES_DISTANCE_METHOD: DistanceType = Field(
-        description="Distance method for vector index (e.g., 'Cosine', 'Euclidean', 'InnerProduct').",
-        default="Cosine",
-    )
-
-    HOLOGRES_BASE_QUANTIZATION_TYPE: BaseQuantizationType = Field(
-        description="Base quantization type for vector index (e.g., 'rabitq', 'sq8', 'fp16', 'fp32').",
-        default="rabitq",
-    )
-
-    HOLOGRES_MAX_DEGREE: int = Field(
-        description="Max degree (M) parameter for HNSW vector index.",
-        default=64,
-    )
-
-    HOLOGRES_EF_CONSTRUCTION: int = Field(
-        description="ef_construction parameter for HNSW vector index.",
-        default=400,
-    )

api/configs/middleware/vdb/weaviate_config.py

@@ -17,6 +17,11 @@ class WeaviateConfig(BaseSettings):
         default=None,
     )
 
+    WEAVIATE_GRPC_ENABLED: bool = Field(
+        description="Whether to enable gRPC for Weaviate connection (True for gRPC, False for HTTP)",
+        default=True,
+    )
+
     WEAVIATE_GRPC_ENDPOINT: str | None = Field(
         description="URL of the Weaviate gRPC server (e.g., 'grpc://localhost:50051' or 'grpcs://weaviate.example.com:443')",
         default=None,

api/controllers/console/__init__.py

@@ -39,7 +39,6 @@ from . import (
     feature,
     human_input_form,
     init_validate,
-    notification,
     ping,
     setup,
     spec,
@@ -185,7 +184,6 @@ __all__ = [
     "model_config",
     "model_providers",
     "models",
-    "notification",
     "oauth",
     "oauth_server",
     "ops_trace",

api/controllers/console/admin.py

@@ -1,5 +1,3 @@
-import csv
-import io
 from collections.abc import Callable
 from functools import wraps
 from typing import ParamSpec, TypeVar
@@ -8,7 +6,7 @@ from flask import request
 from flask_restx import Resource
 from pydantic import BaseModel, Field, field_validator
 from sqlalchemy import select
-from werkzeug.exceptions import BadRequest, NotFound, Unauthorized
+from werkzeug.exceptions import NotFound, Unauthorized
 
 from configs import dify_config
 from constants.languages import supported_language
@@ -18,7 +16,6 @@ from core.db.session_factory import session_factory
 from extensions.ext_database import db
 from libs.token import extract_access_token
 from models.model import App, ExporleBanner, InstalledApp, RecommendedApp, TrialApp
-from services.billing_service import BillingService
 
 P = ParamSpec("P")
 R = TypeVar("R")
@@ -280,168 +277,3 @@ class DeleteExploreBannerApi(Resource):
         db.session.commit()
 
         return {"result": "success"}, 204
-
-
-class LangContentPayload(BaseModel):
-    lang: str = Field(..., description="Language tag: 'zh' | 'en' | 'jp'")
-    title: str = Field(...)
-    subtitle: str | None = Field(default=None)
-    body: str = Field(...)
-    title_pic_url: str | None = Field(default=None)
-
-
-class UpsertNotificationPayload(BaseModel):
-    notification_id: str | None = Field(default=None, description="Omit to create; supply UUID to update")
-    contents: list[LangContentPayload] = Field(..., min_length=1)
-    start_time: str | None = Field(default=None, description="RFC3339, e.g. 2026-03-01T00:00:00Z")
-    end_time: str | None = Field(default=None, description="RFC3339, e.g. 2026-03-20T23:59:59Z")
-    frequency: str = Field(default="once", description="'once' | 'every_page_load'")
-    status: str = Field(default="active", description="'active' | 'inactive'")
-
-
-class BatchAddNotificationAccountsPayload(BaseModel):
-    notification_id: str = Field(...)
-    user_email: list[str] = Field(..., description="List of account email addresses")
-
-
-console_ns.schema_model(
-    UpsertNotificationPayload.__name__,
-    UpsertNotificationPayload.model_json_schema(ref_template=DEFAULT_REF_TEMPLATE_SWAGGER_2_0),
-)
-
-console_ns.schema_model(
-    BatchAddNotificationAccountsPayload.__name__,
-    BatchAddNotificationAccountsPayload.model_json_schema(ref_template=DEFAULT_REF_TEMPLATE_SWAGGER_2_0),
-)
-
-
-@console_ns.route("/admin/upsert_notification")
-class UpsertNotificationApi(Resource):
-    @console_ns.doc("upsert_notification")
-    @console_ns.doc(
-        description=(
-            "Create or update an in-product notification. "
-            "Supply notification_id to update an existing one; omit it to create a new one. "
-            "Pass at least one language variant in contents (zh / en / jp)."
-        )
-    )
-    @console_ns.expect(console_ns.models[UpsertNotificationPayload.__name__])
-    @console_ns.response(200, "Notification upserted successfully")
-    @only_edition_cloud
-    @admin_required
-    def post(self):
-        payload = UpsertNotificationPayload.model_validate(console_ns.payload)
-        result = BillingService.upsert_notification(
-            contents=[c.model_dump() for c in payload.contents],
-            frequency=payload.frequency,
-            status=payload.status,
-            notification_id=payload.notification_id,
-            start_time=payload.start_time,
-            end_time=payload.end_time,
-        )
-        return {"result": "success", "notification_id": result.get("notificationId")}, 200
-
-
-@console_ns.route("/admin/batch_add_notification_accounts")
-class BatchAddNotificationAccountsApi(Resource):
-    @console_ns.doc("batch_add_notification_accounts")
-    @console_ns.doc(
-        description=(
-            "Register target accounts for a notification by email address. "
-            'JSON body: {"notification_id": "...", "user_email": ["a@example.com", ...]}. '
-            "File upload: multipart/form-data with a 'file' field (CSV or TXT, one email per line) "
-            "plus a 'notification_id' field. "
-            "Emails that do not match any account are silently skipped."
-        )
-    )
-    @console_ns.response(200, "Accounts added successfully")
-    @only_edition_cloud
-    @admin_required
-    def post(self):
-        from models.account import Account
-
-        if "file" in request.files:
-            notification_id = request.form.get("notification_id", "").strip()
-            if not notification_id:
-                raise BadRequest("notification_id is required.")
-            emails = self._parse_emails_from_file()
-        else:
-            payload = BatchAddNotificationAccountsPayload.model_validate(console_ns.payload)
-            notification_id = payload.notification_id
-            emails = payload.user_email
-
-        if not emails:
-            raise BadRequest("No valid email addresses provided.")
-
-        # Resolve emails → account IDs in chunks to avoid large IN-clause
-        account_ids: list[str] = []
-        chunk_size = 500
-        for i in range(0, len(emails), chunk_size):
-            chunk = emails[i : i + chunk_size]
-            rows = db.session.execute(select(Account.id, Account.email).where(Account.email.in_(chunk))).all()
-            account_ids.extend(str(row.id) for row in rows)
-
-        if not account_ids:
-            raise BadRequest("None of the provided emails matched an existing account.")
-
-        # Send to dify-saas in batches of 1000
-        total_count = 0
-        batch_size = 1000
-        for i in range(0, len(account_ids), batch_size):
-            batch = account_ids[i : i + batch_size]
-            result = BillingService.batch_add_notification_accounts(
-                notification_id=notification_id,
-                account_ids=batch,
-            )
-            total_count += result.get("count", 0)
-
-        return {
-            "result": "success",
-            "emails_provided": len(emails),
-            "accounts_matched": len(account_ids),
-            "count": total_count,
-        }, 200
-
-    @staticmethod
-    def _parse_emails_from_file() -> list[str]:
-        """Parse email addresses from an uploaded CSV or TXT file."""
-        file = request.files["file"]
-        if not file.filename:
-            raise BadRequest("Uploaded file has no filename.")
-
-        filename_lower = file.filename.lower()
-        if not filename_lower.endswith((".csv", ".txt")):
-            raise BadRequest("Invalid file type. Only CSV (.csv) and TXT (.txt) files are allowed.")
-
-        try:
-            content = file.read().decode("utf-8")
-        except UnicodeDecodeError:
-            try:
-                file.seek(0)
-                content = file.read().decode("gbk")
-            except UnicodeDecodeError:
-                raise BadRequest("Unable to decode the file. Please use UTF-8 or GBK encoding.")
-
-        emails: list[str] = []
-        if filename_lower.endswith(".csv"):
-            reader = csv.reader(io.StringIO(content))
-            for row in reader:
-                for cell in row:
-                    cell = cell.strip()
-                    if cell:
-                        emails.append(cell)
-        else:
-            for line in content.splitlines():
-                line = line.strip()
-                if line:
-                    emails.append(line)
-
-        # Deduplicate while preserving order
-        seen: set[str] = set()
-        unique_emails: list[str] = []
-        for email in emails:
-            if email.lower() not in seen:
-                seen.add(email.lower())
-                unique_emails.append(email)
-
-        return unique_emails

api/controllers/console/app/app.py

@@ -25,8 +25,7 @@ from controllers.console.wraps import (
 )
 from core.ops.ops_trace_manager import OpsTraceManager
 from core.rag.retrieval.retrieval_methods import RetrievalMethod
-from core.trigger.constants import TRIGGER_NODE_TYPES
-from dify_graph.enums import WorkflowExecutionStatus
+from dify_graph.enums import NodeType, WorkflowExecutionStatus
 from dify_graph.file import helpers as file_helpers
 from extensions.ext_database import db
 from libs.login import current_account_with_tenant, login_required
@@ -509,7 +508,11 @@ class AppListApi(Resource):
                 .scalars()
                 .all()
             )
-            trigger_node_types = TRIGGER_NODE_TYPES
+            trigger_node_types = {
+                NodeType.TRIGGER_WEBHOOK,
+                NodeType.TRIGGER_SCHEDULE,
+                NodeType.TRIGGER_PLUGIN,
+            }
             for workflow in draft_workflows:
                 node_id = None
                 try:

api/controllers/console/app/mcp_server.py

@@ -1,4 +1,5 @@
 import json
+from enum import StrEnum
 
 from flask_restx import Resource, marshal_with
 from pydantic import BaseModel, Field
@@ -10,7 +11,6 @@ from controllers.console.wraps import account_initialization_required, edit_perm
 from extensions.ext_database import db
 from fields.app_fields import app_server_fields
 from libs.login import current_account_with_tenant, login_required
-from models.enums import AppMCPServerStatus
 from models.model import AppMCPServer
 
 DEFAULT_REF_TEMPLATE_SWAGGER_2_0 = "#/definitions/{model}"
@@ -19,6 +19,11 @@ DEFAULT_REF_TEMPLATE_SWAGGER_2_0 = "#/definitions/{model}"
 app_server_model = console_ns.model("AppServer", app_server_fields)
 
 
+class AppMCPServerStatus(StrEnum):
+    ACTIVE = "active"
+    INACTIVE = "inactive"
+
+
 class MCPServerCreatePayload(BaseModel):
     description: str | None = Field(default=None, description="Server description")
     parameters: dict = Field(..., description="Server parameters configuration")
@@ -112,10 +117,9 @@ class AppMCPServerController(Resource):
 
         server.parameters = json.dumps(payload.parameters, ensure_ascii=False)
         if payload.status:
-            try:
-                server.status = AppMCPServerStatus(payload.status)
-            except ValueError:
+            if payload.status not in [status.value for status in AppMCPServerStatus]:
                 raise ValueError("Invalid status")
+            server.status = payload.status
         db.session.commit()
         return server
 

api/controllers/console/app/workflow.py

@@ -22,7 +22,6 @@ from core.app.apps.workflow.app_generator import SKIP_PREPARE_USER_INPUTS_KEY
 from core.app.entities.app_invoke_entities import InvokeFrom
 from core.helper.trace_id_helper import get_external_trace_id
 from core.plugin.impl.exc import PluginInvokeError
-from core.trigger.constants import TRIGGER_SCHEDULE_NODE_TYPE
 from core.trigger.debug.event_selectors import (
     TriggerDebugEvent,
     TriggerDebugEventPoller,
@@ -1210,7 +1209,7 @@ class DraftWorkflowTriggerNodeApi(Resource):
         node_type: NodeType = draft_workflow.get_node_type_from_node_config(node_config)
         event: TriggerDebugEvent | None = None
         # for schedule trigger, when run single node, just execute directly
-        if node_type == TRIGGER_SCHEDULE_NODE_TYPE:
+        if node_type == NodeType.TRIGGER_SCHEDULE:
             event = TriggerDebugEvent(
                 workflow_args={},
                 node_id=node_id,

api/controllers/console/app/workflow_draft_variable.py

@@ -23,7 +23,7 @@ from dify_graph.variables.types import SegmentType
 from extensions.ext_database import db
 from factories.file_factory import build_from_mapping, build_from_mappings
 from factories.variable_factory import build_segment_with_type
-from libs.login import current_user, login_required
+from libs.login import login_required
 from models import App, AppMode
 from models.workflow import WorkflowDraftVariable
 from services.workflow_draft_variable_service import WorkflowDraftVariableList, WorkflowDraftVariableService
@@ -100,18 +100,6 @@ def _serialize_full_content(variable: WorkflowDraftVariable) -> dict | None:
     }
 
 
-def _ensure_variable_access(
-    variable: WorkflowDraftVariable | None,
-    app_id: str,
-    variable_id: str,
-) -> WorkflowDraftVariable:
-    if variable is None:
-        raise NotFoundError(description=f"variable not found, id={variable_id}")
-    if variable.app_id != app_id or variable.user_id != current_user.id:
-        raise NotFoundError(description=f"variable not found, id={variable_id}")
-    return variable
-
-
 _WORKFLOW_DRAFT_VARIABLE_WITHOUT_VALUE_FIELDS = {
     "id": fields.String,
     "type": fields.String(attribute=lambda model: model.get_variable_type()),
@@ -250,7 +238,6 @@ class WorkflowVariableCollectionApi(Resource):
                 app_id=app_model.id,
                 page=args.page,
                 limit=args.limit,
-                user_id=current_user.id,
             )
 
         return workflow_vars
@@ -263,7 +250,7 @@ class WorkflowVariableCollectionApi(Resource):
         draft_var_srv = WorkflowDraftVariableService(
             session=db.session(),
         )
-        draft_var_srv.delete_user_workflow_variables(app_model.id, user_id=current_user.id)
+        draft_var_srv.delete_workflow_variables(app_model.id)
         db.session.commit()
         return Response("", 204)
 
@@ -300,7 +287,7 @@ class NodeVariableCollectionApi(Resource):
             draft_var_srv = WorkflowDraftVariableService(
                 session=session,
             )
-            node_vars = draft_var_srv.list_node_variables(app_model.id, node_id, user_id=current_user.id)
+            node_vars = draft_var_srv.list_node_variables(app_model.id, node_id)
 
         return node_vars
 
@@ -311,7 +298,7 @@ class NodeVariableCollectionApi(Resource):
     def delete(self, app_model: App, node_id: str):
         validate_node_id(node_id)
         srv = WorkflowDraftVariableService(db.session())
-        srv.delete_node_variables(app_model.id, node_id, user_id=current_user.id)
+        srv.delete_node_variables(app_model.id, node_id)
         db.session.commit()
         return Response("", 204)
 
@@ -332,11 +319,11 @@ class VariableApi(Resource):
         draft_var_srv = WorkflowDraftVariableService(
             session=db.session(),
         )
-        variable = _ensure_variable_access(
-            variable=draft_var_srv.get_variable(variable_id=variable_id),
-            app_id=app_model.id,
-            variable_id=variable_id,
-        )
+        variable = draft_var_srv.get_variable(variable_id=variable_id)
+        if variable is None:
+            raise NotFoundError(description=f"variable not found, id={variable_id}")
+        if variable.app_id != app_model.id:
+            raise NotFoundError(description=f"variable not found, id={variable_id}")
         return variable
 
     @console_ns.doc("update_variable")
@@ -373,11 +360,11 @@ class VariableApi(Resource):
         )
         args_model = WorkflowDraftVariableUpdatePayload.model_validate(console_ns.payload or {})
 
-        variable = _ensure_variable_access(
-            variable=draft_var_srv.get_variable(variable_id=variable_id),
-            app_id=app_model.id,
-            variable_id=variable_id,
-        )
+        variable = draft_var_srv.get_variable(variable_id=variable_id)
+        if variable is None:
+            raise NotFoundError(description=f"variable not found, id={variable_id}")
+        if variable.app_id != app_model.id:
+            raise NotFoundError(description=f"variable not found, id={variable_id}")
 
         new_name = args_model.name
         raw_value = args_model.value
@@ -410,11 +397,11 @@ class VariableApi(Resource):
         draft_var_srv = WorkflowDraftVariableService(
             session=db.session(),
         )
-        variable = _ensure_variable_access(
-            variable=draft_var_srv.get_variable(variable_id=variable_id),
-            app_id=app_model.id,
-            variable_id=variable_id,
-        )
+        variable = draft_var_srv.get_variable(variable_id=variable_id)
+        if variable is None:
+            raise NotFoundError(description=f"variable not found, id={variable_id}")
+        if variable.app_id != app_model.id:
+            raise NotFoundError(description=f"variable not found, id={variable_id}")
         draft_var_srv.delete_variable(variable)
         db.session.commit()
         return Response("", 204)
@@ -440,11 +427,11 @@ class VariableResetApi(Resource):
             raise NotFoundError(
                 f"Draft workflow not found, app_id={app_model.id}",
             )
-        variable = _ensure_variable_access(
-            variable=draft_var_srv.get_variable(variable_id=variable_id),
-            app_id=app_model.id,
-            variable_id=variable_id,
-        )
+        variable = draft_var_srv.get_variable(variable_id=variable_id)
+        if variable is None:
+            raise NotFoundError(description=f"variable not found, id={variable_id}")
+        if variable.app_id != app_model.id:
+            raise NotFoundError(description=f"variable not found, id={variable_id}")
 
         resetted = draft_var_srv.reset_variable(draft_workflow, variable)
         db.session.commit()
@@ -460,15 +447,11 @@ def _get_variable_list(app_model: App, node_id) -> WorkflowDraftVariableList:
             session=session,
         )
         if node_id == CONVERSATION_VARIABLE_NODE_ID:
-            draft_vars = draft_var_srv.list_conversation_variables(app_model.id, user_id=current_user.id)
+            draft_vars = draft_var_srv.list_conversation_variables(app_model.id)
         elif node_id == SYSTEM_VARIABLE_NODE_ID:
-            draft_vars = draft_var_srv.list_system_variables(app_model.id, user_id=current_user.id)
+            draft_vars = draft_var_srv.list_system_variables(app_model.id)
         else:
-            draft_vars = draft_var_srv.list_node_variables(
-                app_id=app_model.id,
-                node_id=node_id,
-                user_id=current_user.id,
-            )
+            draft_vars = draft_var_srv.list_node_variables(app_id=app_model.id, node_id=node_id)
     return draft_vars
 
 
@@ -489,7 +472,7 @@ class ConversationVariableCollectionApi(Resource):
         if draft_workflow is None:
             raise NotFoundError(description=f"draft workflow not found, id={app_model.id}")
         draft_var_srv = WorkflowDraftVariableService(db.session())
-        draft_var_srv.prefill_conversation_variable_default_values(draft_workflow, user_id=current_user.id)
+        draft_var_srv.prefill_conversation_variable_default_values(draft_workflow)
         db.session.commit()
         return _get_variable_list(app_model, CONVERSATION_VARIABLE_NODE_ID)
 

api/controllers/console/datasets/datasets.py

@@ -263,7 +263,6 @@ def _get_retrieval_methods_by_vector_type(vector_type: str | None, is_mock: bool
         VectorType.BAIDU,
         VectorType.ALIBABACLOUD_MYSQL,
         VectorType.IRIS,
-        VectorType.HOLOGRES,
     }
 
     semantic_methods = {"retrieval_method": [RetrievalMethod.SEMANTIC_SEARCH.value]}

api/controllers/console/datasets/rag_pipeline/rag_pipeline_draft_variable.py

@@ -102,7 +102,6 @@ class RagPipelineVariableCollectionApi(Resource):
             app_id=pipeline.id,
             page=query.page,
             limit=query.limit,
-            user_id=current_user.id,
         )
 
         return workflow_vars
@@ -112,7 +111,7 @@ class RagPipelineVariableCollectionApi(Resource):
         draft_var_srv = WorkflowDraftVariableService(
             session=db.session(),
         )
-        draft_var_srv.delete_user_workflow_variables(pipeline.id, user_id=current_user.id)
+        draft_var_srv.delete_workflow_variables(pipeline.id)
         db.session.commit()
         return Response("", 204)
 
@@ -145,7 +144,7 @@ class RagPipelineNodeVariableCollectionApi(Resource):
             draft_var_srv = WorkflowDraftVariableService(
                 session=session,
             )
-            node_vars = draft_var_srv.list_node_variables(pipeline.id, node_id, user_id=current_user.id)
+            node_vars = draft_var_srv.list_node_variables(pipeline.id, node_id)
 
         return node_vars
 
@@ -153,7 +152,7 @@ class RagPipelineNodeVariableCollectionApi(Resource):
     def delete(self, pipeline: Pipeline, node_id: str):
         validate_node_id(node_id)
         srv = WorkflowDraftVariableService(db.session())
-        srv.delete_node_variables(pipeline.id, node_id, user_id=current_user.id)
+        srv.delete_node_variables(pipeline.id, node_id)
         db.session.commit()
         return Response("", 204)
 
@@ -284,11 +283,11 @@ def _get_variable_list(pipeline: Pipeline, node_id) -> WorkflowDraftVariableList
             session=session,
         )
         if node_id == CONVERSATION_VARIABLE_NODE_ID:
-            draft_vars = draft_var_srv.list_conversation_variables(pipeline.id, user_id=current_user.id)
+            draft_vars = draft_var_srv.list_conversation_variables(pipeline.id)
         elif node_id == SYSTEM_VARIABLE_NODE_ID:
-            draft_vars = draft_var_srv.list_system_variables(pipeline.id, user_id=current_user.id)
+            draft_vars = draft_var_srv.list_system_variables(pipeline.id)
         else:
-            draft_vars = draft_var_srv.list_node_variables(app_id=pipeline.id, node_id=node_id, user_id=current_user.id)
+            draft_vars = draft_var_srv.list_node_variables(app_id=pipeline.id, node_id=node_id)
     return draft_vars
 
 

api/controllers/console/notification.py

@@ -1,90 +0,0 @@
-from flask import request
-from flask_restx import Resource
-from pydantic import BaseModel, Field
-
-from controllers.console import console_ns
-from controllers.console.wraps import account_initialization_required, only_edition_cloud, setup_required
-from libs.login import current_account_with_tenant, login_required
-from services.billing_service import BillingService
-
-# Notification content is stored under three lang tags.
-_FALLBACK_LANG = "en-US"
-
-
-def _pick_lang_content(contents: dict, lang: str) -> dict:
-    """Return the single LangContent for *lang*, falling back to English."""
-    return contents.get(lang) or contents.get(_FALLBACK_LANG) or next(iter(contents.values()), {})
-
-
-class DismissNotificationPayload(BaseModel):
-    notification_id: str = Field(...)
-
-
-@console_ns.route("/notification")
-class NotificationApi(Resource):
-    @console_ns.doc("get_notification")
-    @console_ns.doc(
-        description=(
-            "Return the active in-product notification for the current user "
-            "in their interface language (falls back to English if unavailable). "
-            "The notification is NOT marked as seen here; call POST /notification/dismiss "
-            "when the user explicitly closes the modal."
-        ),
-        responses={
-            200: "Success — inspect should_show to decide whether to render the modal",
-            401: "Unauthorized",
-        },
-    )
-    @setup_required
-    @login_required
-    @account_initialization_required
-    @only_edition_cloud
-    def get(self):
-        current_user, _ = current_account_with_tenant()
-
-        result = BillingService.get_account_notification(str(current_user.id))
-
-        # Proto JSON uses camelCase field names (Kratos default marshaling).
-        if not result.get("shouldShow"):
-            return {"should_show": False, "notifications": []}, 200
-
-        lang = current_user.interface_language or _FALLBACK_LANG
-
-        notifications = []
-        for notification in result.get("notifications") or []:
-            contents: dict = notification.get("contents") or {}
-            lang_content = _pick_lang_content(contents, lang)
-            notifications.append(
-                {
-                    "notification_id": notification.get("notificationId"),
-                    "frequency": notification.get("frequency"),
-                    "lang": lang_content.get("lang", lang),
-                    "title": lang_content.get("title", ""),
-                    "subtitle": lang_content.get("subtitle", ""),
-                    "body": lang_content.get("body", ""),
-                    "title_pic_url": lang_content.get("titlePicUrl", ""),
-                }
-            )
-
-        return {"should_show": bool(notifications), "notifications": notifications}, 200
-
-
-@console_ns.route("/notification/dismiss")
-class NotificationDismissApi(Resource):
-    @console_ns.doc("dismiss_notification")
-    @console_ns.doc(
-        description="Mark a notification as dismissed for the current user.",
-        responses={200: "Success", 401: "Unauthorized"},
-    )
-    @setup_required
-    @login_required
-    @account_initialization_required
-    @only_edition_cloud
-    def post(self):
-        current_user, _ = current_account_with_tenant()
-        payload = DismissNotificationPayload.model_validate(request.get_json())
-        BillingService.dismiss_notification(
-            notification_id=payload.notification_id,
-            account_id=str(current_user.id),
-        )
-        return {"result": "success"}, 200

api/controllers/console/workspace/account.py

@@ -43,7 +43,6 @@ from libs.datetime_utils import naive_utc_now
 from libs.helper import EmailStr, TimestampField, extract_remote_ip, timezone
 from libs.login import current_account_with_tenant, login_required
 from models import AccountIntegrate, InvitationCode
-from models.account import AccountStatus, InvitationCodeStatus
 from services.account_service import AccountService
 from services.billing_service import BillingService
 from services.errors.account import CurrentPasswordIncorrectError as ServiceCurrentPasswordIncorrectError
@@ -216,7 +215,7 @@ class AccountInitApi(Resource):
                 db.session.query(InvitationCode)
                 .where(
                     InvitationCode.code == args.invitation_code,
-                    InvitationCode.status == InvitationCodeStatus.UNUSED,
+                    InvitationCode.status == "unused",
                 )
                 .first()
             )
@@ -224,7 +223,7 @@ class AccountInitApi(Resource):
             if not invitation_code:
                 raise InvalidInvitationCodeError()
 
-            invitation_code.status = InvitationCodeStatus.USED
+            invitation_code.status = "used"
             invitation_code.used_at = naive_utc_now()
             invitation_code.used_by_tenant_id = account.current_tenant_id
             invitation_code.used_by_account_id = account.id
@@ -232,7 +231,7 @@ class AccountInitApi(Resource):
         account.interface_language = args.interface_language
         account.timezone = args.timezone
         account.interface_theme = "light"
-        account.status = AccountStatus.ACTIVE
+        account.status = "active"
         account.initialized_at = naive_utc_now()
         db.session.commit()
 

api/controllers/console/workspace/plugin.py

@@ -5,7 +5,6 @@ from typing import Any, Literal
 from flask import request, send_file
 from flask_restx import Resource
 from pydantic import BaseModel, Field
-from werkzeug.datastructures import FileStorage
 from werkzeug.exceptions import Forbidden
 
 from configs import dify_config
@@ -170,20 +169,6 @@ register_enum_models(
 )
 
 
-def _read_upload_content(file: FileStorage, max_size: int) -> bytes:
-    """
-    Read the uploaded file and validate its actual size before delegating to the plugin service.
-
-    FileStorage.content_length is not reliable for multipart test uploads and may be zero even when
-    content exists, so the controllers validate against the loaded bytes instead.
-    """
-    content = file.read()
-    if len(content) > max_size:
-        raise ValueError("File size exceeds the maximum allowed size")
-
-    return content
-
-
 @console_ns.route("/workspaces/current/plugin/debugging-key")
 class PluginDebuggingKeyApi(Resource):
     @setup_required
@@ -299,7 +284,12 @@ class PluginUploadFromPkgApi(Resource):
         _, tenant_id = current_account_with_tenant()
 
         file = request.files["pkg"]
-        content = _read_upload_content(file, dify_config.PLUGIN_MAX_PACKAGE_SIZE)
+
+        # check file size
+        if file.content_length > dify_config.PLUGIN_MAX_PACKAGE_SIZE:
+            raise ValueError("File size exceeds the maximum allowed size")
+
+        content = file.read()
         try:
             response = PluginService.upload_pkg(tenant_id, content)
         except PluginDaemonClientSideError as e:
@@ -338,7 +328,12 @@ class PluginUploadFromBundleApi(Resource):
         _, tenant_id = current_account_with_tenant()
 
         file = request.files["bundle"]
-        content = _read_upload_content(file, dify_config.PLUGIN_MAX_BUNDLE_SIZE)
+
+        # check file size
+        if file.content_length > dify_config.PLUGIN_MAX_BUNDLE_SIZE:
+            raise ValueError("File size exceeds the maximum allowed size")
+
+        content = file.read()
         try:
             response = PluginService.upload_bundle(tenant_id, content)
         except PluginDaemonClientSideError as e:

api/controllers/inner_api/plugin/wraps.py

@@ -114,7 +114,6 @@ def get_user_tenant(view_func: Callable[P, R]):
 
 def plugin_data(view: Callable[P, R] | None = None, *, payload_type: type[BaseModel]):
     def decorator(view_func: Callable[P, R]):
-        @wraps(view_func)
         def decorated_view(*args: P.args, **kwargs: P.kwargs):
             try:
                 data = request.get_json()

api/controllers/mcp/mcp.py

@@ -6,13 +6,13 @@ from pydantic import BaseModel, Field, ValidationError
 from sqlalchemy.orm import Session
 
 from controllers.common.schema import register_schema_model
+from controllers.console.app.mcp_server import AppMCPServerStatus
 from controllers.mcp import mcp_ns
 from core.mcp import types as mcp_types
 from core.mcp.server.streamable_http import handle_mcp_request
 from dify_graph.variables.input_entities import VariableEntity
 from extensions.ext_database import db
 from libs import helper
-from models.enums import AppMCPServerStatus
 from models.model import App, AppMCPServer, AppMode, EndUser
 
 

api/controllers/service_api/wraps.py

@@ -3,7 +3,7 @@ import time
 from collections.abc import Callable
 from enum import StrEnum, auto
 from functools import wraps
-from typing import Concatenate, ParamSpec, TypeVar, cast, overload
+from typing import Concatenate, ParamSpec, TypeVar, cast
 
 from flask import current_app, request
 from flask_login import user_logged_in
@@ -44,22 +44,10 @@ class FetchUserArg(BaseModel):
     required: bool = False
 
 
-@overload
-def validate_app_token(view: Callable[P, R]) -> Callable[P, R]: ...
-
-
-@overload
-def validate_app_token(
-    view: None = None, *, fetch_user_arg: FetchUserArg | None = None
-) -> Callable[[Callable[P, R]], Callable[P, R]]: ...
-
-
-def validate_app_token(
-    view: Callable[P, R] | None = None, *, fetch_user_arg: FetchUserArg | None = None
-) -> Callable[P, R] | Callable[[Callable[P, R]], Callable[P, R]]:
-    def decorator(view_func: Callable[P, R]) -> Callable[P, R]:
+def validate_app_token(view: Callable[P, R] | None = None, *, fetch_user_arg: FetchUserArg | None = None):
+    def decorator(view_func: Callable[P, R]):
         @wraps(view_func)
-        def decorated_view(*args: P.args, **kwargs: P.kwargs) -> R:
+        def decorated_view(*args: P.args, **kwargs: P.kwargs):
             api_token = validate_and_get_api_token("app")
 
             app_model = db.session.query(App).where(App.id == api_token.app_id).first()
@@ -225,20 +213,10 @@ def cloud_edition_billing_rate_limit_check(resource: str, api_token_type: str):
     return interceptor
 
 
-@overload
-def validate_dataset_token(view: Callable[Concatenate[T, P], R]) -> Callable[P, R]: ...
-
-
-@overload
-def validate_dataset_token(view: None = None) -> Callable[[Callable[Concatenate[T, P], R]], Callable[P, R]]: ...
-
-
-def validate_dataset_token(
-    view: Callable[Concatenate[T, P], R] | None = None,
-) -> Callable[P, R] | Callable[[Callable[Concatenate[T, P], R]], Callable[P, R]]:
-    def decorator(view_func: Callable[Concatenate[T, P], R]) -> Callable[P, R]:
-        @wraps(view_func)
-        def decorated(*args: P.args, **kwargs: P.kwargs) -> R:
+def validate_dataset_token(view: Callable[Concatenate[T, P], R] | None = None):
+    def decorator(view: Callable[Concatenate[T, P], R]):
+        @wraps(view)
+        def decorated(*args: P.args, **kwargs: P.kwargs):
             api_token = validate_and_get_api_token("dataset")
 
             # get url path dataset_id from positional args or kwargs
@@ -309,7 +287,7 @@ def validate_dataset_token(
                     raise Unauthorized("Tenant owner account does not exist.")
             else:
                 raise Unauthorized("Tenant does not exist.")
-            return view_func(api_token.tenant_id, *args, **kwargs)  # type: ignore[arg-type]
+            return view(api_token.tenant_id, *args, **kwargs)
 
         return decorated
 

api/core/agent/cot_agent_runner.py

@@ -6,7 +6,6 @@ from typing import Any
 
 from core.agent.base_agent_runner import BaseAgentRunner
 from core.agent.entities import AgentScratchpadUnit
-from core.agent.errors import AgentMaxIterationError
 from core.agent.output_parser.cot_output_parser import CotAgentOutputParser
 from core.app.apps.base_app_queue_manager import PublishFrom
 from core.app.entities.queue_entities import QueueAgentThoughtEvent, QueueMessageEndEvent, QueueMessageFileEvent
@@ -23,6 +22,7 @@ from dify_graph.model_runtime.entities.message_entities import (
     ToolPromptMessage,
     UserPromptMessage,
 )
+from dify_graph.nodes.agent.exc import AgentMaxIterationError
 from models.model import Message
 
 logger = logging.getLogger(__name__)

api/core/agent/errors.py

@@ -1,9 +0,0 @@
-class AgentMaxIterationError(Exception):
-    """Raised when an agent runner exceeds the configured max iteration count."""
-
-    def __init__(self, max_iteration: int):
-        self.max_iteration = max_iteration
-        super().__init__(
-            f"Agent exceeded the maximum iteration limit of {max_iteration}. "
-            f"The agent was unable to complete the task within the allowed number of iterations."
-        )

api/core/agent/fc_agent_runner.py

@@ -5,7 +5,6 @@ from copy import deepcopy
 from typing import Any, Union
 
 from core.agent.base_agent_runner import BaseAgentRunner
-from core.agent.errors import AgentMaxIterationError
 from core.app.apps.base_app_queue_manager import PublishFrom
 from core.app.entities.queue_entities import QueueAgentThoughtEvent, QueueMessageEndEvent, QueueMessageFileEvent
 from core.prompt.agent_history_prompt_transform import AgentHistoryPromptTransform
@@ -26,6 +25,7 @@ from dify_graph.model_runtime.entities import (
     UserPromptMessage,
 )
 from dify_graph.model_runtime.entities.message_entities import ImagePromptMessageContent, PromptMessageContentUnionTypes
+from dify_graph.nodes.agent.exc import AgentMaxIterationError
 from models.model import Message
 
 logger = logging.getLogger(__name__)

api/core/app/apps/advanced_chat/app_generator.py

@@ -330,10 +330,9 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
             engine=db.engine,
             app_id=application_generate_entity.app_config.app_id,
             tenant_id=application_generate_entity.app_config.tenant_id,
-            user_id=user.id,
         )
         draft_var_srv = WorkflowDraftVariableService(db.session())
-        draft_var_srv.prefill_conversation_variable_default_values(workflow, user_id=user.id)
+        draft_var_srv.prefill_conversation_variable_default_values(workflow)
 
         return self._generate(
             workflow=workflow,
@@ -414,10 +413,9 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
             engine=db.engine,
             app_id=application_generate_entity.app_config.app_id,
             tenant_id=application_generate_entity.app_config.tenant_id,
-            user_id=user.id,
         )
         draft_var_srv = WorkflowDraftVariableService(db.session())
-        draft_var_srv.prefill_conversation_variable_default_values(workflow, user_id=user.id)
+        draft_var_srv.prefill_conversation_variable_default_values(workflow)
 
         return self._generate(
             workflow=workflow,

api/core/app/apps/advanced_chat/app_runner.py

@@ -138,25 +138,20 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
             query = self.application_generate_entity.query
 
             # moderation
-            stop, new_inputs, new_query = self.handle_input_moderation(
+            if self.handle_input_moderation(
                 app_record=self._app,
                 app_generate_entity=self.application_generate_entity,
                 inputs=inputs,
                 query=query,
                 message_id=self.message.id,
-            )
-            if stop:
+            ):
                 return
 
-            self.application_generate_entity.inputs = new_inputs
-            self.application_generate_entity.query = new_query
-            system_inputs.query = new_query
-
             # annotation reply
             if self.handle_annotation_reply(
                 app_record=self._app,
                 message=self.message,
-                query=new_query,
+                query=query,
                 app_generate_entity=self.application_generate_entity,
             ):
                 return
@@ -168,7 +163,7 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
             # init variable pool
             variable_pool = VariablePool(
                 system_variables=system_inputs,
-                user_inputs=new_inputs,
+                user_inputs=inputs,
                 environment_variables=self._workflow.environment_variables,
                 # Based on the definition of `Variable`,
                 # `VariableBase` instances can be safely used as `Variable` since they are compatible.
@@ -245,10 +240,10 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
         inputs: Mapping[str, Any],
         query: str,
         message_id: str,
-    ) -> tuple[bool, Mapping[str, Any], str]:
+    ) -> bool:
         try:
             # process sensitive_word_avoidance
-            _, new_inputs, new_query = self.moderation_for_inputs(
+            _, inputs, query = self.moderation_for_inputs(
                 app_id=app_record.id,
                 tenant_id=app_generate_entity.app_config.tenant_id,
                 app_generate_entity=app_generate_entity,
@@ -258,9 +253,9 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
             )
         except ModerationError as e:
             self._complete_with_stream_output(text=str(e), stopped_by=QueueStopEvent.StopBy.INPUT_MODERATION)
-            return True, inputs, query
+            return True
 
-        return False, new_inputs, new_query
+        return False
 
     def handle_annotation_reply(
         self, app_record: App, message: Message, query: str, app_generate_entity: AdvancedChatAppGenerateEntity

api/core/app/apps/advanced_chat/generate_response_converter.py

@@ -114,7 +114,7 @@ class AdvancedChatAppGenerateResponseConverter(AppGenerateResponseConverter):
                 metadata = sub_stream_response_dict.get("metadata", {})
                 sub_stream_response_dict["metadata"] = cls._get_simple_metadata(metadata)
                 response_chunk.update(sub_stream_response_dict)
-            elif isinstance(sub_stream_response, ErrorStreamResponse):
+            if isinstance(sub_stream_response, ErrorStreamResponse):
                 data = cls._error_to_stream_response(sub_stream_response.err)
                 response_chunk.update(data)
             elif isinstance(sub_stream_response, NodeStartStreamResponse | NodeFinishStreamResponse):

api/core/app/apps/advanced_chat/generate_task_pipeline.py

@@ -69,7 +69,7 @@ from dify_graph.entities.pause_reason import HumanInputRequired
 from dify_graph.enums import WorkflowExecutionStatus
 from dify_graph.model_runtime.entities.llm_entities import LLMUsage
 from dify_graph.model_runtime.utils.encoders import jsonable_encoder
-from dify_graph.nodes import BuiltinNodeTypes
+from dify_graph.nodes import NodeType
 from dify_graph.repositories.draft_variable_repository import DraftVariableSaverFactory
 from dify_graph.runtime import GraphRuntimeState
 from dify_graph.system_variable import SystemVariable
@@ -357,7 +357,7 @@ class AdvancedChatAppGenerateTaskPipeline(GraphRuntimeStateSupport):
     ) -> Generator[StreamResponse, None, None]:
         """Handle node succeeded events."""
         # Record files if it's an answer node or end node
-        if event.node_type in [BuiltinNodeTypes.ANSWER, BuiltinNodeTypes.END, BuiltinNodeTypes.LLM]:
+        if event.node_type in [NodeType.ANSWER, NodeType.END, NodeType.LLM]:
             self._recorded_files.extend(
                 self._workflow_response_converter.fetch_files_from_node_outputs(event.outputs or {})
             )

api/core/app/apps/agent_chat/generate_response_converter.py

@@ -113,7 +113,7 @@ class AgentChatAppGenerateResponseConverter(AppGenerateResponseConverter):
                 metadata = sub_stream_response_dict.get("metadata", {})
                 sub_stream_response_dict["metadata"] = cls._get_simple_metadata(metadata)
                 response_chunk.update(sub_stream_response_dict)
-            elif isinstance(sub_stream_response, ErrorStreamResponse):
+            if isinstance(sub_stream_response, ErrorStreamResponse):
                 data = cls._error_to_stream_response(sub_stream_response.err)
                 response_chunk.update(data)
             else:

api/core/app/apps/chat/generate_response_converter.py

@@ -113,7 +113,7 @@ class ChatAppGenerateResponseConverter(AppGenerateResponseConverter):
                 metadata = sub_stream_response_dict.get("metadata", {})
                 sub_stream_response_dict["metadata"] = cls._get_simple_metadata(metadata)
                 response_chunk.update(sub_stream_response_dict)
-            elif isinstance(sub_stream_response, ErrorStreamResponse):
+            if isinstance(sub_stream_response, ErrorStreamResponse):
                 data = cls._error_to_stream_response(sub_stream_response.err)
                 response_chunk.update(data)
             else:

api/core/app/apps/common/workflow_response_converter.py

@@ -48,13 +48,12 @@ from core.app.entities.task_entities import (
 from core.plugin.impl.datasource import PluginDatasourceManager
 from core.tools.entities.tool_entities import ToolProviderType
 from core.tools.tool_manager import ToolManager
-from core.trigger.constants import TRIGGER_PLUGIN_NODE_TYPE
 from core.trigger.trigger_manager import TriggerManager
 from core.workflow.workflow_entry import WorkflowEntry
 from dify_graph.entities.pause_reason import HumanInputRequired
 from dify_graph.entities.workflow_start_reason import WorkflowStartReason
 from dify_graph.enums import (
-    BuiltinNodeTypes,
+    NodeType,
     SystemVariableKey,
     WorkflowExecutionStatus,
     WorkflowNodeExecutionMetadataKey,
@@ -443,7 +442,7 @@ class WorkflowResponseConverter:
         event: QueueNodeStartedEvent,
         task_id: str,
     ) -> NodeStartStreamResponse | None:
-        if event.node_type in {BuiltinNodeTypes.ITERATION, BuiltinNodeTypes.LOOP}:
+        if event.node_type in {NodeType.ITERATION, NodeType.LOOP}:
             return None
         run_id = self._ensure_workflow_run_id()
         snapshot = self._store_snapshot(event)
@@ -465,13 +464,13 @@ class WorkflowResponseConverter:
         )
 
         try:
-            if event.node_type == BuiltinNodeTypes.TOOL:
+            if event.node_type == NodeType.TOOL:
                 response.data.extras["icon"] = ToolManager.get_tool_icon(
                     tenant_id=self._application_generate_entity.app_config.tenant_id,
                     provider_type=ToolProviderType(event.provider_type),
                     provider_id=event.provider_id,
                 )
-            elif event.node_type == BuiltinNodeTypes.DATASOURCE:
+            elif event.node_type == NodeType.DATASOURCE:
                 manager = PluginDatasourceManager()
                 provider_entity = manager.fetch_datasource_provider(
                     self._application_generate_entity.app_config.tenant_id,
@@ -480,7 +479,7 @@ class WorkflowResponseConverter:
                 response.data.extras["icon"] = provider_entity.declaration.identity.generate_datasource_icon_url(
                     self._application_generate_entity.app_config.tenant_id
                 )
-            elif event.node_type == TRIGGER_PLUGIN_NODE_TYPE:
+            elif event.node_type == NodeType.TRIGGER_PLUGIN:
                 response.data.extras["icon"] = TriggerManager.get_trigger_plugin_icon(
                     self._application_generate_entity.app_config.tenant_id,
                     event.provider_id,
@@ -497,7 +496,7 @@ class WorkflowResponseConverter:
         event: QueueNodeSucceededEvent | QueueNodeFailedEvent | QueueNodeExceptionEvent,
         task_id: str,
     ) -> NodeFinishStreamResponse | None:
-        if event.node_type in {BuiltinNodeTypes.ITERATION, BuiltinNodeTypes.LOOP}:
+        if event.node_type in {NodeType.ITERATION, NodeType.LOOP}:
             return None
         run_id = self._ensure_workflow_run_id()
         snapshot = self._pop_snapshot(event.node_execution_id)
@@ -555,7 +554,7 @@ class WorkflowResponseConverter:
         event: QueueNodeRetryEvent,
         task_id: str,
     ) -> NodeRetryStreamResponse | None:
-        if event.node_type in {BuiltinNodeTypes.ITERATION, BuiltinNodeTypes.LOOP}:
+        if event.node_type in {NodeType.ITERATION, NodeType.LOOP}:
             return None
         run_id = self._ensure_workflow_run_id()
 
@@ -613,7 +612,7 @@ class WorkflowResponseConverter:
             data=IterationNodeStartStreamResponse.Data(
                 id=event.node_id,
                 node_id=event.node_id,
-                node_type=event.node_type,
+                node_type=event.node_type.value,
                 title=event.node_title,
                 created_at=int(time.time()),
                 extras={},
@@ -636,7 +635,7 @@ class WorkflowResponseConverter:
             data=IterationNodeNextStreamResponse.Data(
                 id=event.node_id,
                 node_id=event.node_id,
-                node_type=event.node_type,
+                node_type=event.node_type.value,
                 title=event.node_title,
                 index=event.index,
                 created_at=int(time.time()),
@@ -663,7 +662,7 @@ class WorkflowResponseConverter:
             data=IterationNodeCompletedStreamResponse.Data(
                 id=event.node_id,
                 node_id=event.node_id,
-                node_type=event.node_type,
+                node_type=event.node_type.value,
                 title=event.node_title,
                 outputs=new_outputs,
                 outputs_truncated=outputs_truncated,
@@ -693,7 +692,7 @@ class WorkflowResponseConverter:
             data=LoopNodeStartStreamResponse.Data(
                 id=event.node_id,
                 node_id=event.node_id,
-                node_type=event.node_type,
+                node_type=event.node_type.value,
                 title=event.node_title,
                 created_at=int(time.time()),
                 extras={},
@@ -716,7 +715,7 @@ class WorkflowResponseConverter:
             data=LoopNodeNextStreamResponse.Data(
                 id=event.node_id,
                 node_id=event.node_id,
-                node_type=event.node_type,
+                node_type=event.node_type.value,
                 title=event.node_title,
                 index=event.index,
                 # The `pre_loop_output` field is not utilized by the frontend.
@@ -745,7 +744,7 @@ class WorkflowResponseConverter:
             data=LoopNodeCompletedStreamResponse.Data(
                 id=event.node_id,
                 node_id=event.node_id,
-                node_type=event.node_type,
+                node_type=event.node_type.value,
                 title=event.node_title,
                 outputs=new_outputs,
                 outputs_truncated=outputs_truncated,

api/core/app/apps/pipeline/pipeline_generator.py

@@ -419,12 +419,11 @@ class PipelineGenerator(BaseAppGenerator):
             triggered_from=WorkflowNodeExecutionTriggeredFrom.SINGLE_STEP,
         )
         draft_var_srv = WorkflowDraftVariableService(db.session())
-        draft_var_srv.prefill_conversation_variable_default_values(workflow, user_id=user.id)
+        draft_var_srv.prefill_conversation_variable_default_values(workflow)
         var_loader = DraftVarLoader(
             engine=db.engine,
             app_id=application_generate_entity.app_config.app_id,
             tenant_id=application_generate_entity.app_config.tenant_id,
-            user_id=user.id,
         )
 
         return self._generate(
@@ -515,12 +514,11 @@ class PipelineGenerator(BaseAppGenerator):
             triggered_from=WorkflowNodeExecutionTriggeredFrom.SINGLE_STEP,
         )
         draft_var_srv = WorkflowDraftVariableService(db.session())
-        draft_var_srv.prefill_conversation_variable_default_values(workflow, user_id=user.id)
+        draft_var_srv.prefill_conversation_variable_default_values(workflow)
         var_loader = DraftVarLoader(
             engine=db.engine,
             app_id=application_generate_entity.app_config.app_id,
             tenant_id=application_generate_entity.app_config.tenant_id,
-            user_id=user.id,
         )
 
         return self._generate(

api/core/app/apps/pipeline/pipeline_runner.py

@@ -12,7 +12,7 @@ from core.app.entities.app_invoke_entities import (
     build_dify_run_context,
 )
 from core.app.workflow.layers.persistence import PersistenceWorkflowInfo, WorkflowPersistenceLayer
-from core.workflow.node_factory import DifyNodeFactory, get_default_root_node_id
+from core.workflow.node_factory import DifyNodeFactory
 from core.workflow.workflow_entry import WorkflowEntry
 from dify_graph.entities.graph_init_params import GraphInitParams
 from dify_graph.enums import WorkflowType
@@ -274,8 +274,6 @@ class PipelineRunner(WorkflowBasedAppRunner):
             graph_init_params=graph_init_params,
             graph_runtime_state=graph_runtime_state,
         )
-        if start_node_id is None:
-            start_node_id = get_default_root_node_id(graph_config)
         graph = Graph.init(graph_config=graph_config, node_factory=node_factory, root_node_id=start_node_id)
 
         if not graph:

api/core/app/apps/workflow/app_generator.py

@@ -414,12 +414,11 @@ class WorkflowAppGenerator(BaseAppGenerator):
             triggered_from=WorkflowNodeExecutionTriggeredFrom.SINGLE_STEP,
         )
         draft_var_srv = WorkflowDraftVariableService(db.session())
-        draft_var_srv.prefill_conversation_variable_default_values(workflow, user_id=user.id)
+        draft_var_srv.prefill_conversation_variable_default_values(workflow)
         var_loader = DraftVarLoader(
             engine=db.engine,
             app_id=application_generate_entity.app_config.app_id,
             tenant_id=application_generate_entity.app_config.tenant_id,
-            user_id=user.id,
         )
 
         return self._generate(
@@ -498,12 +497,11 @@ class WorkflowAppGenerator(BaseAppGenerator):
             triggered_from=WorkflowNodeExecutionTriggeredFrom.SINGLE_STEP,
         )
         draft_var_srv = WorkflowDraftVariableService(db.session())
-        draft_var_srv.prefill_conversation_variable_default_values(workflow, user_id=user.id)
+        draft_var_srv.prefill_conversation_variable_default_values(workflow)
         var_loader = DraftVarLoader(
             engine=db.engine,
             app_id=application_generate_entity.app_config.app_id,
             tenant_id=application_generate_entity.app_config.tenant_id,
-            user_id=user.id,
         )
         return self._generate(
             app_model=app_model,

api/core/app/apps/workflow_app_runner.py

@@ -3,10 +3,7 @@ import time
 from collections.abc import Mapping, Sequence
 from typing import Any, cast
 
-from pydantic import ValidationError
-
 from core.app.apps.base_app_queue_manager import AppQueueManager, PublishFrom
-from core.app.entities.agent_strategy import AgentStrategyInfo
 from core.app.entities.app_invoke_entities import InvokeFrom, UserFrom, build_dify_run_context
 from core.app.entities.queue_entities import (
     AppQueueEvent,
@@ -32,11 +29,9 @@ from core.app.entities.queue_entities import (
     QueueWorkflowStartedEvent,
     QueueWorkflowSucceededEvent,
 )
-from core.rag.entities.citation_metadata import RetrievalSourceMetadata
-from core.workflow.node_factory import DifyNodeFactory, get_default_root_node_id, resolve_workflow_node_class
+from core.workflow.node_factory import DifyNodeFactory
 from core.workflow.workflow_entry import WorkflowEntry
 from dify_graph.entities import GraphInitParams
-from dify_graph.entities.graph_config import NodeConfigDictAdapter
 from dify_graph.entities.pause_reason import HumanInputRequired
 from dify_graph.graph import Graph
 from dify_graph.graph_engine.layers.base import GraphEngineLayer
@@ -67,6 +62,8 @@ from dify_graph.graph_events import (
     NodeRunSucceededEvent,
 )
 from dify_graph.graph_events.graph import GraphRunAbortedEvent
+from dify_graph.nodes import NodeType
+from dify_graph.nodes.node_mapping import NODE_TYPE_CLASSES_MAPPING
 from dify_graph.runtime import GraphRuntimeState, VariablePool
 from dify_graph.system_variable import SystemVariable
 from dify_graph.variable_loader import DUMMY_VARIABLE_LOADER, VariableLoader, load_into_variable_pool
@@ -140,9 +137,6 @@ class WorkflowBasedAppRunner:
             graph_runtime_state=graph_runtime_state,
         )
 
-        if root_node_id is None:
-            root_node_id = get_default_root_node_id(graph_config)
-
         # init graph
         graph = Graph.init(graph_config=graph_config, node_factory=node_factory, root_node_id=root_node_id)
 
@@ -309,12 +303,10 @@ class WorkflowBasedAppRunner:
         if not target_node_config:
             raise ValueError(f"{node_type_label} node id not found in workflow graph")
 
-        target_node_config = NodeConfigDictAdapter.validate_python(target_node_config)
-
         # Get node class
-        node_type = target_node_config["data"].type
-        node_version = str(target_node_config["data"].version)
-        node_cls = resolve_workflow_node_class(node_type=node_type, node_version=node_version)
+        node_type = NodeType(target_node_config.get("data", {}).get("type"))
+        node_version = target_node_config.get("data", {}).get("version", "1")
+        node_cls = NODE_TYPE_CLASSES_MAPPING[node_type][node_version]
 
         # Use the variable pool from graph_runtime_state instead of creating a new one
         variable_pool = graph_runtime_state.variable_pool
@@ -342,18 +334,6 @@ class WorkflowBasedAppRunner:
 
         return graph, variable_pool
 
-    @staticmethod
-    def _build_agent_strategy_info(event: NodeRunStartedEvent) -> AgentStrategyInfo | None:
-        raw_agent_strategy = event.extras.get("agent_strategy")
-        if raw_agent_strategy is None:
-            return None
-
-        try:
-            return AgentStrategyInfo.model_validate(raw_agent_strategy)
-        except ValidationError:
-            logger.warning("Invalid agent strategy payload for node %s", event.node_id, exc_info=True)
-            return None
-
     def _handle_event(self, workflow_entry: WorkflowEntry, event: GraphEngineEvent):
         """
         Handle event
@@ -439,7 +419,7 @@ class WorkflowBasedAppRunner:
                     start_at=event.start_at,
                     in_iteration_id=event.in_iteration_id,
                     in_loop_id=event.in_loop_id,
-                    agent_strategy=self._build_agent_strategy_info(event),
+                    agent_strategy=event.agent_strategy,
                     provider_type=event.provider_type,
                     provider_id=event.provider_id,
                 )
@@ -508,9 +488,7 @@ class WorkflowBasedAppRunner:
         elif isinstance(event, NodeRunRetrieverResourceEvent):
             self._publish_event(
                 QueueRetrieverResourcesEvent(
-                    retriever_resources=[
-                        RetrievalSourceMetadata.model_validate(resource) for resource in event.retriever_resources
-                    ],
+                    retriever_resources=event.retriever_resources,
                     in_iteration_id=event.in_iteration_id,
                     in_loop_id=event.in_loop_id,
                 )

api/core/app/entities/__init__.py

@@ -1,3 +0,0 @@
-from .agent_strategy import AgentStrategyInfo
-
-__all__ = ["AgentStrategyInfo"]

api/core/app/entities/agent_strategy.py

@@ -1,8 +0,0 @@
-from pydantic import BaseModel, ConfigDict
-
-
-class AgentStrategyInfo(BaseModel):
-    name: str
-    icon: str | None = None
-
-    model_config = ConfigDict(extra="forbid")

api/core/app/entities/queue_entities.py

@@ -5,12 +5,13 @@ from typing import Any
 
 from pydantic import BaseModel, ConfigDict, Field
 
-from core.app.entities.agent_strategy import AgentStrategyInfo
 from core.rag.entities.citation_metadata import RetrievalSourceMetadata
+from dify_graph.entities import AgentNodeStrategyInit
 from dify_graph.entities.pause_reason import PauseReason
 from dify_graph.entities.workflow_start_reason import WorkflowStartReason
-from dify_graph.enums import NodeType, WorkflowNodeExecutionMetadataKey
+from dify_graph.enums import WorkflowNodeExecutionMetadataKey
 from dify_graph.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk
+from dify_graph.nodes import NodeType
 
 
 class QueueEvent(StrEnum):
@@ -313,7 +314,7 @@ class QueueNodeStartedEvent(AppQueueEvent):
     in_iteration_id: str | None = None
     in_loop_id: str | None = None
     start_at: datetime
-    agent_strategy: AgentStrategyInfo | None = None
+    agent_strategy: AgentNodeStrategyInit | None = None
 
     # FIXME(-LAN-): only for ToolNode, need to refactor
     provider_type: str  # should be a core.tools.entities.tool_entities.ToolProviderType

api/core/app/entities/task_entities.py

@@ -4,8 +4,8 @@ from typing import Any
 
 from pydantic import BaseModel, ConfigDict, Field
 
-from core.app.entities.agent_strategy import AgentStrategyInfo
 from core.rag.entities.citation_metadata import RetrievalSourceMetadata
+from dify_graph.entities import AgentNodeStrategyInit
 from dify_graph.entities.workflow_start_reason import WorkflowStartReason
 from dify_graph.enums import WorkflowExecutionStatus, WorkflowNodeExecutionMetadataKey, WorkflowNodeExecutionStatus
 from dify_graph.model_runtime.entities.llm_entities import LLMResult, LLMUsage
@@ -349,7 +349,7 @@ class NodeStartStreamResponse(StreamResponse):
         extras: dict[str, object] = Field(default_factory=dict)
         iteration_id: str | None = None
         loop_id: str | None = None
-        agent_strategy: AgentStrategyInfo | None = None
+        agent_strategy: AgentNodeStrategyInit | None = None
 
     event: StreamEvent = StreamEvent.NODE_STARTED
     workflow_run_id: str

api/core/app/layers/conversation_variable_persist_layer.py

@@ -2,7 +2,7 @@ import logging
 
 from dify_graph.constants import CONVERSATION_VARIABLE_NODE_ID
 from dify_graph.conversation_variable_updater import ConversationVariableUpdater
-from dify_graph.enums import BuiltinNodeTypes
+from dify_graph.enums import NodeType
 from dify_graph.graph_engine.layers.base import GraphEngineLayer
 from dify_graph.graph_events import GraphEngineEvent, NodeRunSucceededEvent
 from dify_graph.nodes.variable_assigner.common import helpers as common_helpers
@@ -22,7 +22,7 @@ class ConversationVariablePersistenceLayer(GraphEngineLayer):
     def on_event(self, event: GraphEngineEvent) -> None:
         if not isinstance(event, NodeRunSucceededEvent):
             return
-        if event.node_type != BuiltinNodeTypes.VARIABLE_ASSIGNER:
+        if event.node_type != NodeType.VARIABLE_ASSIGNER:
             return
         if self.graph_runtime_state is None:
             return

api/core/app/workflow/layers/llm_quota.py

@@ -12,7 +12,7 @@ from typing_extensions import override
 from core.app.llm import deduct_llm_quota, ensure_llm_quota_available
 from core.errors.error import QuotaExceededError
 from core.model_manager import ModelInstance
-from dify_graph.enums import BuiltinNodeTypes
+from dify_graph.enums import NodeType
 from dify_graph.graph_engine.entities.commands import AbortCommand, CommandType
 from dify_graph.graph_engine.layers.base import GraphEngineLayer
 from dify_graph.graph_events import GraphEngineEvent, GraphNodeEventBase
@@ -113,11 +113,11 @@ class LLMQuotaLayer(GraphEngineLayer):
     def _extract_model_instance(node: Node) -> ModelInstance | None:
         try:
             match node.node_type:
-                case BuiltinNodeTypes.LLM:
+                case NodeType.LLM:
                     return cast("LLMNode", node).model_instance
-                case BuiltinNodeTypes.PARAMETER_EXTRACTOR:
+                case NodeType.PARAMETER_EXTRACTOR:
                     return cast("ParameterExtractorNode", node).model_instance
-                case BuiltinNodeTypes.QUESTION_CLASSIFIER:
+                case NodeType.QUESTION_CLASSIFIER:
                     return cast("QuestionClassifierNode", node).model_instance
                 case _:
                     return None

api/core/app/workflow/layers/observability.py

@@ -16,7 +16,7 @@ from opentelemetry.trace import Span, SpanKind, Tracer, get_tracer, set_span_in_
 from typing_extensions import override
 
 from configs import dify_config
-from dify_graph.enums import BuiltinNodeTypes, NodeType
+from dify_graph.enums import NodeType
 from dify_graph.graph_engine.layers.base import GraphEngineLayer
 from dify_graph.graph_events import GraphNodeEventBase
 from dify_graph.nodes.base.node import Node
@@ -74,13 +74,16 @@ class ObservabilityLayer(GraphEngineLayer):
     def _build_parser_registry(self) -> None:
         """Initialize parser registry for node types."""
         self._parsers = {
-            BuiltinNodeTypes.TOOL: ToolNodeOTelParser(),
-            BuiltinNodeTypes.LLM: LLMNodeOTelParser(),
-            BuiltinNodeTypes.KNOWLEDGE_RETRIEVAL: RetrievalNodeOTelParser(),
+            NodeType.TOOL: ToolNodeOTelParser(),
+            NodeType.LLM: LLMNodeOTelParser(),
+            NodeType.KNOWLEDGE_RETRIEVAL: RetrievalNodeOTelParser(),
         }
 
     def _get_parser(self, node: Node) -> NodeOTelParser:
-        return self._parsers.get(node.node_type, self._default_parser)
+        node_type = getattr(node, "node_type", None)
+        if isinstance(node_type, NodeType):
+            return self._parsers.get(node_type, self._default_parser)
+        return self._default_parser
 
     @override
     def on_graph_start(self) -> None:

api/core/callback_handler/index_tool_callback_handler.py

@@ -12,7 +12,6 @@ from core.rag.models.document import Document
 from extensions.ext_database import db
 from models.dataset import ChildChunk, DatasetQuery, DocumentSegment
 from models.dataset import Document as DatasetDocument
-from models.enums import CreatorUserRole
 
 _logger = logging.getLogger(__name__)
 
@@ -39,9 +38,7 @@ class DatasetIndexToolCallbackHandler:
             source="app",
             source_app_id=self._app_id,
             created_by_role=(
-                CreatorUserRole.ACCOUNT
-                if self._invoke_from in {InvokeFrom.EXPLORE, InvokeFrom.DEBUGGER}
-                else CreatorUserRole.END_USER
+                "account" if self._invoke_from in {InvokeFrom.EXPLORE, InvokeFrom.DEBUGGER} else "end_user"
             ),
             created_by=self._user_id,
         )

api/core/datasource/__base/datasource_provider.py

@@ -59,6 +59,8 @@ class DatasourcePluginProviderController(ABC):
         :param credentials: the credentials of the tool
         """
         credentials_schema = dict[str, ProviderConfig]()
+        if credentials_schema is None:
+            return
 
         for credential in self.entity.credentials_schema:
             credentials_schema[credential.name] = credential

api/core/datasource/datasource_manager.py

@@ -24,12 +24,12 @@ from core.datasource.utils.message_transformer import DatasourceFileMessageTrans
 from core.datasource.website_crawl.website_crawl_provider import WebsiteCrawlDatasourcePluginProviderController
 from core.db.session_factory import session_factory
 from core.plugin.impl.datasource import PluginDatasourceManager
-from core.workflow.nodes.datasource.entities import DatasourceParameter, OnlineDriveDownloadFileParam
 from dify_graph.entities.workflow_node_execution import WorkflowNodeExecutionStatus
 from dify_graph.enums import WorkflowNodeExecutionMetadataKey
 from dify_graph.file import File
 from dify_graph.file.enums import FileTransferMethod, FileType
 from dify_graph.node_events import NodeRunResult, StreamChunkEvent, StreamCompletedEvent
+from dify_graph.repositories.datasource_manager_protocol import DatasourceParameter, OnlineDriveDownloadFileParam
 from factories import file_factory
 from models.model import UploadFile
 from models.tools import ToolFile

api/core/entities/provider_configuration.py

@@ -473,21 +473,9 @@ class ProviderConfiguration(BaseModel):
 
                     self.switch_preferred_provider_type(provider_type=ProviderType.CUSTOM, session=session)
                 else:
+                    # some historical data may have a provider record but not be set as valid
                     provider_record.is_valid = True
 
-                    if provider_record.credential_id is None:
-                        provider_record.credential_id = new_record.id
-                        provider_record.updated_at = naive_utc_now()
-
-                        provider_model_credentials_cache = ProviderCredentialsCache(
-                            tenant_id=self.tenant_id,
-                            identity_id=provider_record.id,
-                            cache_type=ProviderCredentialsCacheType.PROVIDER,
-                        )
-                        provider_model_credentials_cache.delete()
-
-                        self.switch_preferred_provider_type(provider_type=ProviderType.CUSTOM, session=session)
-
                 session.commit()
             except Exception:
                 session.rollback()

api/core/indexing_runner.py

@@ -5,7 +5,6 @@ import re
 import threading
 import time
 import uuid
-from collections.abc import Mapping
 from typing import Any
 
 from flask import Flask, current_app
@@ -38,7 +37,7 @@ from extensions.ext_storage import storage
 from libs import helper
 from libs.datetime_utils import naive_utc_now
 from models import Account
-from models.dataset import AutomaticRulesConfig, ChildChunk, Dataset, DatasetProcessRule, DocumentSegment
+from models.dataset import ChildChunk, Dataset, DatasetProcessRule, DocumentSegment
 from models.dataset import Document as DatasetDocument
 from models.model import UploadFile
 from services.feature_service import FeatureService
@@ -266,7 +265,7 @@ class IndexingRunner:
         self,
         tenant_id: str,
         extract_settings: list[ExtractSetting],
-        tmp_processing_rule: Mapping[str, Any],
+        tmp_processing_rule: dict,
         doc_form: str | None = None,
         doc_language: str = "English",
         dataset_id: str | None = None,
@@ -377,7 +376,7 @@ class IndexingRunner:
         return IndexingEstimate(total_segments=total_segments, preview=preview_texts)
 
     def _extract(
-        self, index_processor: BaseIndexProcessor, dataset_document: DatasetDocument, process_rule: Mapping[str, Any]
+        self, index_processor: BaseIndexProcessor, dataset_document: DatasetDocument, process_rule: dict
     ) -> list[Document]:
         data_source_info = dataset_document.data_source_info_dict
         text_docs = []
@@ -544,7 +543,6 @@ class IndexingRunner:
         """
         Clean the document text according to the processing rules.
         """
-        rules: AutomaticRulesConfig | dict[str, Any]
         if processing_rule.mode == "automatic":
             rules = DatasetProcessRule.AUTOMATIC_RULES
         else:
@@ -758,7 +756,7 @@ class IndexingRunner:
         dataset: Dataset,
         text_docs: list[Document],
         doc_language: str,
-        process_rule: Mapping[str, Any],
+        process_rule: dict,
         current_user: Account | None = None,
     ) -> list[Document]:
         # get embedding model instance

api/core/llm_generator/llm_generator.py

@@ -193,8 +193,7 @@ class LLMGenerator:
                 error_step = "generate rule config"
             except Exception as e:
                 logger.exception("Failed to generate rule config, model: %s", args.model_config_data.name)
-                error = str(e)
-                error_step = "generate rule config"
+                rule_config["error"] = str(e)
 
             rule_config["error"] = f"Failed to {error_step}. Error: {error}" if error else ""
 
@@ -280,8 +279,7 @@ class LLMGenerator:
 
         except Exception as e:
             logger.exception("Failed to generate rule config, model: %s", args.model_config_data.name)
-            error = str(e)
-            error_step = "handle unexpected exception"
+            rule_config["error"] = str(e)
 
         rule_config["error"] = f"Failed to {error_step}. Error: {error}" if error else ""
 

api/core/mcp/auth/auth_flow.py

@@ -55,31 +55,15 @@ def build_protected_resource_metadata_discovery_urls(
     """
     urls = []
 
-    parsed_server_url = urlparse(server_url)
-    base_url = f"{parsed_server_url.scheme}://{parsed_server_url.netloc}"
-    path = parsed_server_url.path.rstrip("/")
-
     # First priority: URL from WWW-Authenticate header
     if www_auth_resource_metadata_url:
-        parsed_metadata_url = urlparse(www_auth_resource_metadata_url)
-        normalized_metadata_url = None
-        if parsed_metadata_url.scheme and parsed_metadata_url.netloc:
-            normalized_metadata_url = www_auth_resource_metadata_url
-        elif not parsed_metadata_url.scheme and parsed_metadata_url.netloc:
-            normalized_metadata_url = f"{parsed_server_url.scheme}:{www_auth_resource_metadata_url}"
-        elif (
-            not parsed_metadata_url.scheme
-            and not parsed_metadata_url.netloc
-            and parsed_metadata_url.path.startswith("/")
-        ):
-            first_segment = parsed_metadata_url.path.lstrip("/").split("/", 1)[0]
-            if first_segment == ".well-known" or "." not in first_segment:
-                normalized_metadata_url = urljoin(base_url, parsed_metadata_url.path)
-
-        if normalized_metadata_url:
-            urls.append(normalized_metadata_url)
+        urls.append(www_auth_resource_metadata_url)
 
     # Fallback: construct from server URL
+    parsed = urlparse(server_url)
+    base_url = f"{parsed.scheme}://{parsed.netloc}"
+    path = parsed.path.rstrip("/")
+
     # Priority 2: With path insertion (e.g., /.well-known/oauth-protected-resource/public/mcp)
     if path:
         path_url = f"{base_url}/.well-known/oauth-protected-resource{path}"

api/core/ops/aliyun_trace/aliyun_trace.py

@@ -58,7 +58,7 @@ from core.ops.entities.trace_entity import (
 )
 from core.repositories import DifyCoreRepositoryFactory
 from dify_graph.entities import WorkflowNodeExecution
-from dify_graph.enums import BuiltinNodeTypes, WorkflowNodeExecutionMetadataKey
+from dify_graph.enums import NodeType, WorkflowNodeExecutionMetadataKey
 from extensions.ext_database import db
 from models import WorkflowNodeExecutionTriggeredFrom
 
@@ -302,11 +302,11 @@ class AliyunDataTrace(BaseTraceInstance):
         self, node_execution: WorkflowNodeExecution, trace_info: WorkflowTraceInfo, trace_metadata: TraceMetadata
     ):
         try:
-            if node_execution.node_type == BuiltinNodeTypes.LLM:
+            if node_execution.node_type == NodeType.LLM:
                 node_span = self.build_workflow_llm_span(trace_info, node_execution, trace_metadata)
-            elif node_execution.node_type == BuiltinNodeTypes.KNOWLEDGE_RETRIEVAL:
+            elif node_execution.node_type == NodeType.KNOWLEDGE_RETRIEVAL:
                 node_span = self.build_workflow_retrieval_span(trace_info, node_execution, trace_metadata)
-            elif node_execution.node_type == BuiltinNodeTypes.TOOL:
+            elif node_execution.node_type == NodeType.TOOL:
                 node_span = self.build_workflow_tool_span(trace_info, node_execution, trace_metadata)
             else:
                 node_span = self.build_workflow_task_span(trace_info, node_execution, trace_metadata)

api/core/ops/arize_phoenix_trace/arize_phoenix_trace.py

@@ -155,8 +155,8 @@ def wrap_span_metadata(metadata, **kwargs):
     return metadata
 
 
-# Mapping from built-in node type strings to OpenInference span kinds.
-# Node types not listed here default to CHAIN.
+# Mapping from NodeType string values to OpenInference span kinds.
+# NodeType values not listed here default to CHAIN.
 _NODE_TYPE_TO_SPAN_KIND: dict[str, OpenInferenceSpanKindValues] = {
     "llm": OpenInferenceSpanKindValues.LLM,
     "knowledge-retrieval": OpenInferenceSpanKindValues.RETRIEVER,
@@ -168,7 +168,7 @@ _NODE_TYPE_TO_SPAN_KIND: dict[str, OpenInferenceSpanKindValues] = {
 def _get_node_span_kind(node_type: str) -> OpenInferenceSpanKindValues:
     """Return the OpenInference span kind for a given workflow node type.
 
-    Covers every built-in node type string. Nodes that do not have a
+    Covers every ``NodeType`` enum value.  Nodes that do not have a
     specialised span kind (e.g. ``start``, ``end``, ``if-else``,
     ``code``, ``loop``, ``iteration``, etc.) are mapped to ``CHAIN``.
     """

api/core/ops/langfuse_trace/langfuse_trace.py

@@ -28,7 +28,7 @@ from core.ops.langfuse_trace.entities.langfuse_trace_entity import (
 )
 from core.ops.utils import filter_none_values
 from core.repositories import DifyCoreRepositoryFactory
-from dify_graph.enums import BuiltinNodeTypes
+from dify_graph.enums import NodeType
 from extensions.ext_database import db
 from models import EndUser, WorkflowNodeExecutionTriggeredFrom
 from models.enums import MessageStatus
@@ -141,7 +141,7 @@ class LangFuseDataTrace(BaseTraceInstance):
             node_name = node_execution.title
             node_type = node_execution.node_type
             status = node_execution.status
-            if node_type == BuiltinNodeTypes.LLM:
+            if node_type == NodeType.LLM:
                 inputs = node_execution.process_data.get("prompts", {}) if node_execution.process_data else {}
             else:
                 inputs = node_execution.inputs or {}

api/core/ops/langsmith_trace/langsmith_trace.py

@@ -28,7 +28,7 @@ from core.ops.langsmith_trace.entities.langsmith_trace_entity import (
 )
 from core.ops.utils import filter_none_values, generate_dotted_order
 from core.repositories import DifyCoreRepositoryFactory
-from dify_graph.enums import BuiltinNodeTypes, WorkflowNodeExecutionMetadataKey
+from dify_graph.enums import NodeType, WorkflowNodeExecutionMetadataKey
 from extensions.ext_database import db
 from models import EndUser, MessageFile, WorkflowNodeExecutionTriggeredFrom
 
@@ -163,7 +163,7 @@ class LangSmithDataTrace(BaseTraceInstance):
             node_name = node_execution.title
             node_type = node_execution.node_type
             status = node_execution.status
-            if node_type == BuiltinNodeTypes.LLM:
+            if node_type == NodeType.LLM:
                 inputs = node_execution.process_data.get("prompts", {}) if node_execution.process_data else {}
             else:
                 inputs = node_execution.inputs or {}
@@ -197,7 +197,7 @@ class LangSmithDataTrace(BaseTraceInstance):
                         "ls_model_name": process_data.get("model_name", ""),
                     }
                 )
-            elif node_type == BuiltinNodeTypes.KNOWLEDGE_RETRIEVAL:
+            elif node_type == NodeType.KNOWLEDGE_RETRIEVAL:
                 run_type = LangSmithRunType.retriever
             else:
                 run_type = LangSmithRunType.tool

api/core/ops/mlflow_trace/mlflow_trace.py

@@ -23,7 +23,7 @@ from core.ops.entities.trace_entity import (
     TraceTaskName,
     WorkflowTraceInfo,
 )
-from dify_graph.enums import BuiltinNodeTypes
+from dify_graph.enums import NodeType
 from extensions.ext_database import db
 from models import EndUser
 from models.workflow import WorkflowNodeExecutionModel
@@ -145,10 +145,10 @@ class MLflowDataTrace(BaseTraceInstance):
                     "app_name": node.title,
                 }
 
-                if node.node_type in (BuiltinNodeTypes.LLM, BuiltinNodeTypes.QUESTION_CLASSIFIER):
+                if node.node_type in (NodeType.LLM, NodeType.QUESTION_CLASSIFIER):
                     inputs, llm_attributes = self._parse_llm_inputs_and_attributes(node)
                     attributes.update(llm_attributes)
-                elif node.node_type == BuiltinNodeTypes.HTTP_REQUEST:
+                elif node.node_type == NodeType.HTTP_REQUEST:
                     inputs = node.process_data  # contains request URL
 
                 if not inputs:
@@ -180,9 +180,9 @@ class MLflowDataTrace(BaseTraceInstance):
                 # End node span
                 finished_at = node.created_at + timedelta(seconds=node.elapsed_time)
                 outputs = json.loads(node.outputs) if node.outputs else {}
-                if node.node_type == BuiltinNodeTypes.KNOWLEDGE_RETRIEVAL:
+                if node.node_type == NodeType.KNOWLEDGE_RETRIEVAL:
                     outputs = self._parse_knowledge_retrieval_outputs(outputs)
-                elif node.node_type == BuiltinNodeTypes.LLM:
+                elif node.node_type == NodeType.LLM:
                     outputs = outputs.get("text", outputs)
                 node_span.end(
                     outputs=outputs,
@@ -471,13 +471,13 @@ class MLflowDataTrace(BaseTraceInstance):
     def _get_node_span_type(self, node_type: str) -> str:
         """Map Dify node types to MLflow span types"""
         node_type_mapping = {
-            BuiltinNodeTypes.LLM: SpanType.LLM,
-            BuiltinNodeTypes.QUESTION_CLASSIFIER: SpanType.LLM,
-            BuiltinNodeTypes.KNOWLEDGE_RETRIEVAL: SpanType.RETRIEVER,
-            BuiltinNodeTypes.TOOL: SpanType.TOOL,
-            BuiltinNodeTypes.CODE: SpanType.TOOL,
-            BuiltinNodeTypes.HTTP_REQUEST: SpanType.TOOL,
-            BuiltinNodeTypes.AGENT: SpanType.AGENT,
+            NodeType.LLM: SpanType.LLM,
+            NodeType.QUESTION_CLASSIFIER: SpanType.LLM,
+            NodeType.KNOWLEDGE_RETRIEVAL: SpanType.RETRIEVER,
+            NodeType.TOOL: SpanType.TOOL,
+            NodeType.CODE: SpanType.TOOL,
+            NodeType.HTTP_REQUEST: SpanType.TOOL,
+            NodeType.AGENT: SpanType.AGENT,
         }
         return node_type_mapping.get(node_type, "CHAIN")  # type: ignore[arg-type,call-overload]
 

api/core/ops/opik_trace/opik_trace.py

@@ -23,7 +23,7 @@ from core.ops.entities.trace_entity import (
     WorkflowTraceInfo,
 )
 from core.repositories import DifyCoreRepositoryFactory
-from dify_graph.enums import BuiltinNodeTypes, WorkflowNodeExecutionMetadataKey
+from dify_graph.enums import NodeType, WorkflowNodeExecutionMetadataKey
 from extensions.ext_database import db
 from models import EndUser, MessageFile, WorkflowNodeExecutionTriggeredFrom
 
@@ -187,7 +187,7 @@ class OpikDataTrace(BaseTraceInstance):
             node_name = node_execution.title
             node_type = node_execution.node_type
             status = node_execution.status
-            if node_type == BuiltinNodeTypes.LLM:
+            if node_type == NodeType.LLM:
                 inputs = node_execution.process_data.get("prompts", {}) if node_execution.process_data else {}
             else:
                 inputs = node_execution.inputs or {}

api/core/ops/ops_trace_manager.py

@@ -628,10 +628,10 @@ class TraceTask:
         if not message_data:
             return {}
         conversation_mode_stmt = select(Conversation.mode).where(Conversation.id == message_data.conversation_id)
-        conversation_modes = db.session.scalars(conversation_mode_stmt).all()
-        if not conversation_modes or len(conversation_modes) == 0:
+        conversation_mode = db.session.scalars(conversation_mode_stmt).all()
+        if not conversation_mode or len(conversation_mode) == 0:
             return {}
-        conversation_mode = conversation_modes[0]
+        conversation_mode = conversation_mode[0]
         created_at = message_data.created_at
         inputs = message_data.message
 

api/core/ops/tencent_trace/tencent_trace.py

@@ -27,7 +27,7 @@ from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository
 from dify_graph.entities.workflow_node_execution import (
     WorkflowNodeExecution,
 )
-from dify_graph.nodes import BuiltinNodeTypes
+from dify_graph.nodes import NodeType
 from extensions.ext_database import db
 from models import Account, App, TenantAccountJoin, WorkflowNodeExecutionTriggeredFrom
 
@@ -179,7 +179,7 @@ class TencentDataTrace(BaseTraceInstance):
                     if node_span:
                         self.trace_client.add_span(node_span)
 
-                        if node_execution.node_type == BuiltinNodeTypes.LLM:
+                        if node_execution.node_type == NodeType.LLM:
                             self._record_llm_metrics(node_execution)
                 except Exception:
                     logger.exception("[Tencent APM] Failed to process node execution: %s", node_execution.id)
@@ -192,15 +192,15 @@ class TencentDataTrace(BaseTraceInstance):
     ) -> SpanData | None:
         """Build span for different node types"""
         try:
-            if node_execution.node_type == BuiltinNodeTypes.LLM:
+            if node_execution.node_type == NodeType.LLM:
                 return TencentSpanBuilder.build_workflow_llm_span(
                     trace_id, workflow_span_id, trace_info, node_execution
                 )
-            elif node_execution.node_type == BuiltinNodeTypes.KNOWLEDGE_RETRIEVAL:
+            elif node_execution.node_type == NodeType.KNOWLEDGE_RETRIEVAL:
                 return TencentSpanBuilder.build_workflow_retrieval_span(
                     trace_id, workflow_span_id, trace_info, node_execution
                 )
-            elif node_execution.node_type == BuiltinNodeTypes.TOOL:
+            elif node_execution.node_type == NodeType.TOOL:
                 return TencentSpanBuilder.build_workflow_tool_span(
                     trace_id, workflow_span_id, trace_info, node_execution
                 )

api/core/ops/weave_trace/weave_trace.py

@@ -31,7 +31,7 @@ from core.ops.entities.trace_entity import (
 )
 from core.ops.weave_trace.entities.weave_trace_entity import WeaveTraceModel
 from core.repositories import DifyCoreRepositoryFactory
-from dify_graph.enums import BuiltinNodeTypes, WorkflowNodeExecutionMetadataKey
+from dify_graph.enums import NodeType, WorkflowNodeExecutionMetadataKey
 from extensions.ext_database import db
 from models import EndUser, MessageFile, WorkflowNodeExecutionTriggeredFrom
 
@@ -175,7 +175,7 @@ class WeaveDataTrace(BaseTraceInstance):
             node_name = node_execution.title
             node_type = node_execution.node_type
             status = node_execution.status
-            if node_type == BuiltinNodeTypes.LLM:
+            if node_type == NodeType.LLM:
                 inputs = node_execution.process_data.get("prompts", {}) if node_execution.process_data else {}
             else:
                 inputs = node_execution.inputs or {}

api/core/plugin/backwards_invocation/node.py

@@ -1,5 +1,5 @@
 from core.plugin.backwards_invocation.base import BaseBackwardsInvocation
-from dify_graph.enums import BuiltinNodeTypes
+from dify_graph.enums import NodeType
 from dify_graph.nodes.parameter_extractor.entities import (
     ModelConfig as ParameterExtractorModelConfig,
 )
@@ -52,7 +52,7 @@ class PluginNodeBackwardsInvocation(BaseBackwardsInvocation):
             instruction=instruction,  # instruct with variables are not supported
         )
         node_data_dict = node_data.model_dump()
-        node_data_dict["type"] = BuiltinNodeTypes.PARAMETER_EXTRACTOR
+        node_data_dict["type"] = NodeType.PARAMETER_EXTRACTOR
         execution = workflow_service.run_free_workflow_node(
             node_data_dict,
             tenant_id=tenant_id,

api/core/plugin/entities/parameters.py

@@ -191,7 +191,7 @@ def cast_parameter_value(typ: StrEnum, value: Any, /):
     except ValueError:
         raise
     except Exception:
-        raise ValueError(f"The tool parameter value {repr(value)} is not in correct type of {as_normal_type(typ)}.")
+        raise ValueError(f"The tool parameter value {value} is not in correct type of {as_normal_type(typ)}.")
 
 
 def init_frontend_parameter(rule: PluginParameter, type: StrEnum, value: Any):

api/core/plugin/entities/plugin_daemon.py

@@ -157,7 +157,6 @@ class PluginInstallTaskPluginStatus(BaseModel):
     message: str = Field(description="The message of the install task.")
     icon: str = Field(description="The icon of the plugin.")
     labels: I18nObject = Field(description="The labels of the plugin.")
-    source: str | None = Field(default=None, description="The installation source of the plugin")
 
 
 class PluginInstallTask(BasePluginEntity):

api/core/provider_manager.py

@@ -196,8 +196,6 @@ class ProviderManager:
 
             if preferred_provider_type_record:
                 preferred_provider_type = ProviderType.value_of(preferred_provider_type_record.preferred_provider_type)
-            elif dify_config.EDITION == "CLOUD" and system_configuration.enabled:
-                preferred_provider_type = ProviderType.SYSTEM
             elif custom_configuration.provider or custom_configuration.models:
                 preferred_provider_type = ProviderType.CUSTOM
             elif system_configuration.enabled:
@@ -307,7 +305,9 @@ class ProviderManager:
             available_models = provider_configurations.get_models(model_type=model_type, only_active=True)
 
             if available_models:
-                available_model = available_models[0]
+                available_model = next(
+                    (model for model in available_models if model.model == "gpt-4"), available_models[0]
+                )
 
                 default_model = TenantDefaultModel(
                     tenant_id=tenant_id,
@@ -627,7 +627,7 @@ class ProviderManager:
                                 tenant_id=tenant_id,
                                 # TODO: Use provider name with prefix after the data migration.
                                 provider_name=ModelProviderID(provider_name).provider_name,
-                                provider_type=ProviderType.SYSTEM,
+                                provider_type=ProviderType.SYSTEM.value,
                                 quota_type=quota.quota_type,
                                 quota_limit=0,  # type: ignore
                                 quota_used=0,

api/core/rag/datasource/vdb/hologres/hologres_vector.py

@@ -1,361 +0,0 @@
-import json
-import logging
-import time
-from typing import Any
-
-import holo_search_sdk as holo  # type: ignore
-from holo_search_sdk.types import BaseQuantizationType, DistanceType, TokenizerType
-from psycopg import sql as psql
-from pydantic import BaseModel, model_validator
-
-from configs import dify_config
-from core.rag.datasource.vdb.vector_base import BaseVector
-from core.rag.datasource.vdb.vector_factory import AbstractVectorFactory
-from core.rag.datasource.vdb.vector_type import VectorType
-from core.rag.embedding.embedding_base import Embeddings
-from core.rag.models.document import Document
-from extensions.ext_redis import redis_client
-from models.dataset import Dataset
-
-logger = logging.getLogger(__name__)
-
-
-class HologresVectorConfig(BaseModel):
-    """
-    Configuration for Hologres vector database connection.
-
-    In Hologres, access_key_id is used as the PostgreSQL username,
-    and access_key_secret is used as the PostgreSQL password.
-    """
-
-    host: str
-    port: int = 80
-    database: str
-    access_key_id: str
-    access_key_secret: str
-    schema_name: str = "public"
-    tokenizer: TokenizerType = "jieba"
-    distance_method: DistanceType = "Cosine"
-    base_quantization_type: BaseQuantizationType = "rabitq"
-    max_degree: int = 64
-    ef_construction: int = 400
-
-    @model_validator(mode="before")
-    @classmethod
-    def validate_config(cls, values: dict):
-        if not values.get("host"):
-            raise ValueError("config HOLOGRES_HOST is required")
-        if not values.get("database"):
-            raise ValueError("config HOLOGRES_DATABASE is required")
-        if not values.get("access_key_id"):
-            raise ValueError("config HOLOGRES_ACCESS_KEY_ID is required")
-        if not values.get("access_key_secret"):
-            raise ValueError("config HOLOGRES_ACCESS_KEY_SECRET is required")
-        return values
-
-
-class HologresVector(BaseVector):
-    """
-    Hologres vector storage implementation using holo-search-sdk.
-
-    Supports semantic search (vector), full-text search, and hybrid search.
-    """
-
-    def __init__(self, collection_name: str, config: HologresVectorConfig):
-        super().__init__(collection_name)
-        self._config = config
-        self._client = self._init_client(config)
-        self.table_name = f"embedding_{collection_name}".lower()
-
-    def _init_client(self, config: HologresVectorConfig):
-        """Initialize and return a holo-search-sdk client."""
-        client = holo.connect(
-            host=config.host,
-            port=config.port,
-            database=config.database,
-            access_key_id=config.access_key_id,
-            access_key_secret=config.access_key_secret,
-            schema=config.schema_name,
-        )
-        client.connect()
-        return client
-
-    def get_type(self) -> str:
-        return VectorType.HOLOGRES
-
-    def create(self, texts: list[Document], embeddings: list[list[float]], **kwargs):
-        """Create collection table with vector and full-text indexes, then add texts."""
-        dimension = len(embeddings[0])
-        self._create_collection(dimension)
-        self.add_texts(texts, embeddings)
-
-    def add_texts(self, documents: list[Document], embeddings: list[list[float]], **kwargs):
-        """Add texts with embeddings to the collection using batch upsert."""
-        if not documents:
-            return []
-
-        pks: list[str] = []
-        batch_size = 100
-        for i in range(0, len(documents), batch_size):
-            batch_docs = documents[i : i + batch_size]
-            batch_embeddings = embeddings[i : i + batch_size]
-
-            values = []
-            column_names = ["id", "text", "meta", "embedding"]
-
-            for j, doc in enumerate(batch_docs):
-                doc_id = doc.metadata.get("doc_id", "") if doc.metadata else ""
-                pks.append(doc_id)
-                values.append(
-                    [
-                        doc_id,
-                        doc.page_content,
-                        json.dumps(doc.metadata or {}),
-                        batch_embeddings[j],
-                    ]
-                )
-
-            table = self._client.open_table(self.table_name)
-            table.upsert_multi(
-                index_column="id",
-                values=values,
-                column_names=column_names,
-                update=True,
-                update_columns=["text", "meta", "embedding"],
-            )
-
-        return pks
-
-    def text_exists(self, id: str) -> bool:
-        """Check if a text with the given doc_id exists in the collection."""
-        if not self._client.check_table_exist(self.table_name):
-            return False
-
-        result = self._client.execute(
-            psql.SQL("SELECT 1 FROM {} WHERE id = {} LIMIT 1").format(
-                psql.Identifier(self.table_name), psql.Literal(id)
-            ),
-            fetch_result=True,
-        )
-        return bool(result)
-
-    def get_ids_by_metadata_field(self, key: str, value: str) -> list[str] | None:
-        """Get document IDs by metadata field key and value."""
-        result = self._client.execute(
-            psql.SQL("SELECT id FROM {} WHERE meta->>{} = {}").format(
-                psql.Identifier(self.table_name), psql.Literal(key), psql.Literal(value)
-            ),
-            fetch_result=True,
-        )
-        if result:
-            return [row[0] for row in result]
-        return None
-
-    def delete_by_ids(self, ids: list[str]):
-        """Delete documents by their doc_id list."""
-        if not ids:
-            return
-        if not self._client.check_table_exist(self.table_name):
-            return
-
-        self._client.execute(
-            psql.SQL("DELETE FROM {} WHERE id IN ({})").format(
-                psql.Identifier(self.table_name),
-                psql.SQL(", ").join(psql.Literal(id) for id in ids),
-            )
-        )
-
-    def delete_by_metadata_field(self, key: str, value: str):
-        """Delete documents by metadata field key and value."""
-        if not self._client.check_table_exist(self.table_name):
-            return
-
-        self._client.execute(
-            psql.SQL("DELETE FROM {} WHERE meta->>{} = {}").format(
-                psql.Identifier(self.table_name), psql.Literal(key), psql.Literal(value)
-            )
-        )
-
-    def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]:
-        """Search for documents by vector similarity."""
-        if not self._client.check_table_exist(self.table_name):
-            return []
-
-        top_k = kwargs.get("top_k", 4)
-        score_threshold = float(kwargs.get("score_threshold") or 0.0)
-
-        table = self._client.open_table(self.table_name)
-        query = (
-            table.search_vector(
-                vector=query_vector,
-                column="embedding",
-                distance_method=self._config.distance_method,
-                output_name="distance",
-            )
-            .select(["id", "text", "meta"])
-            .limit(top_k)
-        )
-
-        # Apply document_ids_filter if provided
-        document_ids_filter = kwargs.get("document_ids_filter")
-        if document_ids_filter:
-            filter_sql = psql.SQL("meta->>'document_id' IN ({})").format(
-                psql.SQL(", ").join(psql.Literal(id) for id in document_ids_filter)
-            )
-            query = query.where(filter_sql)
-
-        results = query.fetchall()
-        return self._process_vector_results(results, score_threshold)
-
-    def _process_vector_results(self, results: list, score_threshold: float) -> list[Document]:
-        """Process vector search results into Document objects."""
-        docs = []
-        for row in results:
-            # row format: (distance, id, text, meta)
-            # distance is first because search_vector() adds the computed column before selected columns
-            distance = row[0]
-            text = row[2]
-            meta = row[3]
-
-            if isinstance(meta, str):
-                meta = json.loads(meta)
-
-            # Convert distance to similarity score (consistent with pgvector)
-            score = 1 - distance
-            meta["score"] = score
-
-            if score >= score_threshold:
-                docs.append(Document(page_content=text, metadata=meta))
-
-        return docs
-
-    def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]:
-        """Search for documents by full-text search."""
-        if not self._client.check_table_exist(self.table_name):
-            return []
-
-        top_k = kwargs.get("top_k", 4)
-
-        table = self._client.open_table(self.table_name)
-        search_query = table.search_text(
-            column="text",
-            expression=query,
-            return_score=True,
-            return_score_name="score",
-            return_all_columns=True,
-        ).limit(top_k)
-
-        # Apply document_ids_filter if provided
-        document_ids_filter = kwargs.get("document_ids_filter")
-        if document_ids_filter:
-            filter_sql = psql.SQL("meta->>'document_id' IN ({})").format(
-                psql.SQL(", ").join(psql.Literal(id) for id in document_ids_filter)
-            )
-            search_query = search_query.where(filter_sql)
-
-        results = search_query.fetchall()
-        return self._process_full_text_results(results)
-
-    def _process_full_text_results(self, results: list) -> list[Document]:
-        """Process full-text search results into Document objects."""
-        docs = []
-        for row in results:
-            # row format: (id, text, meta, embedding, score)
-            text = row[1]
-            meta = row[2]
-            score = row[-1]  # score is the last column from return_score
-
-            if isinstance(meta, str):
-                meta = json.loads(meta)
-
-            meta["score"] = score
-            docs.append(Document(page_content=text, metadata=meta))
-
-        return docs
-
-    def delete(self):
-        """Delete the entire collection table."""
-        if self._client.check_table_exist(self.table_name):
-            self._client.drop_table(self.table_name)
-
-    def _create_collection(self, dimension: int):
-        """Create the collection table with vector and full-text indexes."""
-        lock_name = f"vector_indexing_lock_{self._collection_name}"
-        with redis_client.lock(lock_name, timeout=20):
-            collection_exist_cache_key = f"vector_indexing_{self._collection_name}"
-            if redis_client.get(collection_exist_cache_key):
-                return
-
-            if not self._client.check_table_exist(self.table_name):
-                # Create table via SQL with CHECK constraint for vector dimension
-                create_table_sql = psql.SQL("""
-                    CREATE TABLE IF NOT EXISTS {} (
-                        id TEXT PRIMARY KEY,
-                        text TEXT NOT NULL,
-                        meta JSONB NOT NULL,
-                        embedding float4[] NOT NULL
-                            CHECK (array_ndims(embedding) = 1
-                                   AND array_length(embedding, 1) = {})
-                    );
-                """).format(psql.Identifier(self.table_name), psql.Literal(dimension))
-                self._client.execute(create_table_sql)
-
-                # Wait for table to be fully ready before creating indexes
-                max_wait_seconds = 30
-                poll_interval = 2
-                for _ in range(max_wait_seconds // poll_interval):
-                    if self._client.check_table_exist(self.table_name):
-                        break
-                    time.sleep(poll_interval)
-                else:
-                    raise RuntimeError(f"Table {self.table_name} was not ready after {max_wait_seconds}s")
-
-                # Open table and set vector index
-                table = self._client.open_table(self.table_name)
-                table.set_vector_index(
-                    column="embedding",
-                    distance_method=self._config.distance_method,
-                    base_quantization_type=self._config.base_quantization_type,
-                    max_degree=self._config.max_degree,
-                    ef_construction=self._config.ef_construction,
-                    use_reorder=self._config.base_quantization_type == "rabitq",
-                )
-
-                # Create full-text search index
-                table.create_text_index(
-                    index_name=f"ft_idx_{self._collection_name}",
-                    column="text",
-                    tokenizer=self._config.tokenizer,
-                )
-
-            redis_client.set(collection_exist_cache_key, 1, ex=3600)
-
-
-class HologresVectorFactory(AbstractVectorFactory):
-    """Factory class for creating HologresVector instances."""
-
-    def init_vector(self, dataset: Dataset, attributes: list, embeddings: Embeddings) -> HologresVector:
-        if dataset.index_struct_dict:
-            class_prefix: str = dataset.index_struct_dict["vector_store"]["class_prefix"]
-            collection_name = class_prefix
-        else:
-            dataset_id = dataset.id
-            collection_name = Dataset.gen_collection_name_by_id(dataset_id)
-            dataset.index_struct = json.dumps(self.gen_index_struct_dict(VectorType.HOLOGRES, collection_name))
-
-        return HologresVector(
-            collection_name=collection_name,
-            config=HologresVectorConfig(
-                host=dify_config.HOLOGRES_HOST or "",
-                port=dify_config.HOLOGRES_PORT,
-                database=dify_config.HOLOGRES_DATABASE or "",
-                access_key_id=dify_config.HOLOGRES_ACCESS_KEY_ID or "",
-                access_key_secret=dify_config.HOLOGRES_ACCESS_KEY_SECRET or "",
-                schema_name=dify_config.HOLOGRES_SCHEMA,
-                tokenizer=dify_config.HOLOGRES_TOKENIZER,
-                distance_method=dify_config.HOLOGRES_DISTANCE_METHOD,
-                base_quantization_type=dify_config.HOLOGRES_BASE_QUANTIZATION_TYPE,
-                max_degree=dify_config.HOLOGRES_MAX_DEGREE,
-                ef_construction=dify_config.HOLOGRES_EF_CONSTRUCTION,
-            ),
-        )

api/core/rag/datasource/vdb/pgvecto_rs/pgvecto_rs.py

@@ -135,8 +135,8 @@ class PGVectoRS(BaseVector):
     def get_ids_by_metadata_field(self, key: str, value: str):
         result = None
         with Session(self._client) as session:
-            select_statement = sql_text(f"SELECT id FROM {self._collection_name} WHERE meta->>:key = :value")
-            result = session.execute(select_statement, {"key": key, "value": value}).fetchall()
+            select_statement = sql_text(f"SELECT id FROM {self._collection_name} WHERE meta->>'{key}' = '{value}'; ")
+            result = session.execute(select_statement).fetchall()
         if result:
             return [item[0] for item in result]
         else:
@@ -172,9 +172,9 @@ class PGVectoRS(BaseVector):
     def text_exists(self, id: str) -> bool:
         with Session(self._client) as session:
             select_statement = sql_text(
-                f"SELECT id FROM {self._collection_name} WHERE meta->>'doc_id' = :doc_id limit 1"
+                f"SELECT id FROM {self._collection_name} WHERE meta->>'doc_id' = '{id}' limit 1; "
             )
-            result = session.execute(select_statement, {"doc_id": id}).fetchall()
+            result = session.execute(select_statement).fetchall()
         return len(result) > 0
 
     def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]:

api/core/rag/datasource/vdb/relyt/relyt_vector.py

@@ -154,8 +154,10 @@ class RelytVector(BaseVector):
     def get_ids_by_metadata_field(self, key: str, value: str):
         result = None
         with Session(self.client) as session:
-            select_statement = sql_text(f"""SELECT id FROM "{self._collection_name}" WHERE metadata->>:key = :value""")
-            result = session.execute(select_statement, {"key": key, "value": value}).fetchall()
+            select_statement = sql_text(
+                f"""SELECT id FROM "{self._collection_name}" WHERE metadata->>'{key}' = '{value}'; """
+            )
+            result = session.execute(select_statement).fetchall()
         if result:
             return [item[0] for item in result]
         else:
@@ -199,10 +201,11 @@ class RelytVector(BaseVector):
 
     def delete_by_ids(self, ids: list[str]):
         with Session(self.client) as session:
+            ids_str = ",".join(f"'{doc_id}'" for doc_id in ids)
             select_statement = sql_text(
-                f"""SELECT id FROM "{self._collection_name}" WHERE metadata->>'doc_id' = ANY(:doc_ids)"""
+                f"""SELECT id FROM "{self._collection_name}" WHERE metadata->>'doc_id' in ({ids_str}); """
             )
-            result = session.execute(select_statement, {"doc_ids": ids}).fetchall()
+            result = session.execute(select_statement).fetchall()
         if result:
             ids = [item[0] for item in result]
             self.delete_by_uuids(ids)
@@ -215,9 +218,9 @@ class RelytVector(BaseVector):
     def text_exists(self, id: str) -> bool:
         with Session(self.client) as session:
             select_statement = sql_text(
-                f"""SELECT id FROM "{self._collection_name}" WHERE metadata->>'doc_id' = :doc_id limit 1"""
+                f"""SELECT id FROM "{self._collection_name}" WHERE metadata->>'doc_id' = '{id}' limit 1; """
             )
-            result = session.execute(select_statement, {"doc_id": id}).fetchall()
+            result = session.execute(select_statement).fetchall()
         return len(result) > 0
 
     def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]:

api/core/rag/datasource/vdb/vector_factory.py

@@ -38,7 +38,7 @@ class AbstractVectorFactory(ABC):
 class Vector:
     def __init__(self, dataset: Dataset, attributes: list | None = None):
         if attributes is None:
-            attributes = ["doc_id", "dataset_id", "document_id", "doc_hash", "doc_type"]
+            attributes = ["doc_id", "dataset_id", "document_id", "doc_hash"]
         self._dataset = dataset
         self._embeddings = self._get_embeddings()
         self._attributes = attributes
@@ -191,10 +191,6 @@ class Vector:
                 from core.rag.datasource.vdb.iris.iris_vector import IrisVectorFactory
 
                 return IrisVectorFactory
-            case VectorType.HOLOGRES:
-                from core.rag.datasource.vdb.hologres.hologres_vector import HologresVectorFactory
-
-                return HologresVectorFactory
             case _:
                 raise ValueError(f"Vector store {vector_type} is not supported.")
 

api/core/rag/datasource/vdb/vector_type.py

@@ -34,4 +34,3 @@ class VectorType(StrEnum):
     MATRIXONE = "matrixone"
     CLICKZETTA = "clickzetta"
     IRIS = "iris"
-    HOLOGRES = "hologres"

api/core/rag/datasource/vdb/weaviate/weaviate_vector.py

@@ -5,11 +5,9 @@ This module provides integration with Weaviate vector database for storing and r
 document embeddings used in retrieval-augmented generation workflows.
 """
 
-import atexit
 import datetime
 import json
 import logging
-import threading
 import uuid as _uuid
 from typing import Any
 from urllib.parse import urlparse
@@ -34,35 +32,6 @@ from models.dataset import Dataset
 
 logger = logging.getLogger(__name__)
 
-_weaviate_client: weaviate.WeaviateClient | None = None
-_weaviate_client_lock = threading.Lock()
-
-
-def _shutdown_weaviate_client() -> None:
-    """
-    Best-effort shutdown hook to close the module-level Weaviate client.
-
-    This is registered with atexit so that HTTP/gRPC resources are released
-    when the Python interpreter exits.
-    """
-    global _weaviate_client
-
-    # Ensure thread-safety when accessing the shared client instance
-    with _weaviate_client_lock:
-        client = _weaviate_client
-        _weaviate_client = None
-
-    if client is not None:
-        try:
-            client.close()
-        except Exception:
-            # Best-effort cleanup; log at debug level and ignore errors.
-            logger.debug("Failed to close Weaviate client during shutdown", exc_info=True)
-
-
-# Register the shutdown hook once per process.
-atexit.register(_shutdown_weaviate_client)
-
 
 class WeaviateConfig(BaseModel):
     """
@@ -112,58 +81,61 @@ class WeaviateVector(BaseVector):
         self._client = self._init_client(config)
         self._attributes = attributes
 
+    def __del__(self):
+        """
+        Destructor to properly close the Weaviate client connection.
+        Prevents connection leaks and resource warnings.
+        """
+        if hasattr(self, "_client") and self._client is not None:
+            try:
+                self._client.close()
+            except Exception as e:
+                # Ignore errors during cleanup as object is being destroyed
+                logger.warning("Error closing Weaviate client %s", e, exc_info=True)
+
     def _init_client(self, config: WeaviateConfig) -> weaviate.WeaviateClient:
         """
         Initializes and returns a connected Weaviate client.
 
         Configures both HTTP and gRPC connections with proper authentication.
         """
-        global _weaviate_client
-        if _weaviate_client and _weaviate_client.is_ready():
-            return _weaviate_client
+        p = urlparse(config.endpoint)
+        host = p.hostname or config.endpoint.replace("https://", "").replace("http://", "")
+        http_secure = p.scheme == "https"
+        http_port = p.port or (443 if http_secure else 80)
 
-        with _weaviate_client_lock:
-            if _weaviate_client and _weaviate_client.is_ready():
-                return _weaviate_client
-
-            p = urlparse(config.endpoint)
-            host = p.hostname or config.endpoint.replace("https://", "").replace("http://", "")
-            http_secure = p.scheme == "https"
-            http_port = p.port or (443 if http_secure else 80)
-
-            # Parse gRPC configuration
-            if config.grpc_endpoint:
-                # Urls without scheme won't be parsed correctly in some python versions,
-                # see https://bugs.python.org/issue27657
-                grpc_endpoint_with_scheme = (
-                    config.grpc_endpoint if "://" in config.grpc_endpoint else f"grpc://{config.grpc_endpoint}"
-                )
-                grpc_p = urlparse(grpc_endpoint_with_scheme)
-                grpc_host = grpc_p.hostname or "localhost"
-                grpc_port = grpc_p.port or (443 if grpc_p.scheme == "grpcs" else 50051)
-                grpc_secure = grpc_p.scheme == "grpcs"
-            else:
-                # Infer from HTTP endpoint as fallback
-                grpc_host = host
-                grpc_secure = http_secure
-                grpc_port = 443 if grpc_secure else 50051
-
-            client = weaviate.connect_to_custom(
-                http_host=host,
-                http_port=http_port,
-                http_secure=http_secure,
-                grpc_host=grpc_host,
-                grpc_port=grpc_port,
-                grpc_secure=grpc_secure,
-                auth_credentials=Auth.api_key(config.api_key) if config.api_key else None,
-                skip_init_checks=True,  # Skip PyPI version check to avoid unnecessary HTTP requests
+        # Parse gRPC configuration
+        if config.grpc_endpoint:
+            # Urls without scheme won't be parsed correctly in some python versions,
+            # see https://bugs.python.org/issue27657
+            grpc_endpoint_with_scheme = (
+                config.grpc_endpoint if "://" in config.grpc_endpoint else f"grpc://{config.grpc_endpoint}"
             )
+            grpc_p = urlparse(grpc_endpoint_with_scheme)
+            grpc_host = grpc_p.hostname or "localhost"
+            grpc_port = grpc_p.port or (443 if grpc_p.scheme == "grpcs" else 50051)
+            grpc_secure = grpc_p.scheme == "grpcs"
+        else:
+            # Infer from HTTP endpoint as fallback
+            grpc_host = host
+            grpc_secure = http_secure
+            grpc_port = 443 if grpc_secure else 50051
 
-            if not client.is_ready():
-                raise ConnectionError("Vector database is not ready")
+        client = weaviate.connect_to_custom(
+            http_host=host,
+            http_port=http_port,
+            http_secure=http_secure,
+            grpc_host=grpc_host,
+            grpc_port=grpc_port,
+            grpc_secure=grpc_secure,
+            auth_credentials=Auth.api_key(config.api_key) if config.api_key else None,
+            skip_init_checks=True,  # Skip PyPI version check to avoid unnecessary HTTP requests
+        )
 
-            _weaviate_client = client
-            return client
+        if not client.is_ready():
+            raise ConnectionError("Vector database is not ready")
+
+        return client
 
     def get_type(self) -> str:
         """Returns the vector database type identifier."""
@@ -224,7 +196,6 @@ class WeaviateVector(BaseVector):
                             ),
                             wc.Property(name="document_id", data_type=wc.DataType.TEXT),
                             wc.Property(name="doc_id", data_type=wc.DataType.TEXT),
-                            wc.Property(name="doc_type", data_type=wc.DataType.TEXT),
                             wc.Property(name="chunk_index", data_type=wc.DataType.INT),
                         ],
                         vector_config=wc.Configure.Vectors.self_provided(),
@@ -254,8 +225,6 @@ class WeaviateVector(BaseVector):
             to_add.append(wc.Property(name="document_id", data_type=wc.DataType.TEXT))
         if "doc_id" not in existing:
             to_add.append(wc.Property(name="doc_id", data_type=wc.DataType.TEXT))
-        if "doc_type" not in existing:
-            to_add.append(wc.Property(name="doc_type", data_type=wc.DataType.TEXT))
         if "chunk_index" not in existing:
             to_add.append(wc.Property(name="chunk_index", data_type=wc.DataType.INT))
 

api/core/rag/extractor/extract_processor.py

@@ -74,8 +74,7 @@ class ExtractProcessor:
                         else:
                             suffix = ""
             # https://stackoverflow.com/questions/26541416/generate-temporary-file-names-without-creating-actual-file-in-python#comment90414256_26541521
-            # Generate a temporary filename under the created temp_dir and ensure the directory exists
-            file_path = f"{temp_dir}/{next(tempfile._get_candidate_names())}{suffix}"  # type: ignore
+            file_path = f"{temp_dir}/{tempfile.gettempdir()}{suffix}"
             Path(file_path).write_bytes(response.content)
             extract_setting = ExtractSetting(datasource_type=DatasourceType.FILE, document_model="text_model")
             if return_text:

api/core/rag/extractor/word_extractor.py

@@ -204,61 +204,26 @@ class WordExtractor(BaseExtractor):
         return " ".join(unique_content)
 
     def _parse_cell_paragraph(self, paragraph, image_map):
-        paragraph_content: list[str] = []
-
-        for child in paragraph._element:
-            tag = child.tag
-            if tag == qn("w:hyperlink"):
-                # Note: w:hyperlink elements may also use w:anchor for internal bookmarks.
-                # This extractor intentionally only converts external links (HTTP/mailto, etc.)
-                # that are backed by a relationship id (r:id) with rel.is_external == True.
-                # Hyperlinks without such an external rel (including anchor-only bookmarks)
-                # are left as plain text link_text.
-                r_id = child.get(qn("r:id"))
-                link_text_parts: list[str] = []
-                for run_elem in child.findall(qn("w:r")):
-                    run = Run(run_elem, paragraph)
-                    if run.text:
-                        link_text_parts.append(run.text)
-                link_text = "".join(link_text_parts).strip()
-                if r_id:
-                    try:
-                        rel = paragraph.part.rels.get(r_id)
-                        if rel:
-                            target_ref = getattr(rel, "target_ref", None)
-                            if target_ref:
-                                parsed_target = urlparse(str(target_ref))
-                                if rel.is_external or parsed_target.scheme in ("http", "https", "mailto"):
-                                    display_text = link_text or str(target_ref)
-                                    link_text = f"[{display_text}]({target_ref})"
-                    except Exception:
-                        logger.exception("Failed to resolve URL for hyperlink with r:id: %s", r_id)
-                if link_text:
-                    paragraph_content.append(link_text)
-
-            elif tag == qn("w:r"):
-                run = Run(child, paragraph)
-                if run.element.xpath(".//a:blip"):
-                    for blip in run.element.xpath(".//a:blip"):
-                        image_id = blip.get(
-                            "{http://schemas.openxmlformats.org/officeDocument/2006/relationships}embed"
-                        )
-                        if not image_id:
-                            continue
-                        rel = paragraph.part.rels.get(image_id)
-                        if rel is None:
-                            continue
-                        if rel.is_external:
-                            if image_id in image_map:
-                                paragraph_content.append(image_map[image_id])
-                        else:
-                            image_part = rel.target_part
-                            if image_part in image_map:
-                                paragraph_content.append(image_map[image_part])
-                else:
-                    if run.text:
-                        paragraph_content.append(run.text)
-
+        paragraph_content = []
+        for run in paragraph.runs:
+            if run.element.xpath(".//a:blip"):
+                for blip in run.element.xpath(".//a:blip"):
+                    image_id = blip.get("{http://schemas.openxmlformats.org/officeDocument/2006/relationships}embed")
+                    if not image_id:
+                        continue
+                    rel = paragraph.part.rels.get(image_id)
+                    if rel is None:
+                        continue
+                    # For external images, use image_id as key; for internal, use target_part
+                    if rel.is_external:
+                        if image_id in image_map:
+                            paragraph_content.append(image_map[image_id])
+                    else:
+                        image_part = rel.target_part
+                        if image_part in image_map:
+                            paragraph_content.append(image_map[image_part])
+            else:
+                paragraph_content.append(run.text)
         return "".join(paragraph_content).strip()
 
     def parse_docx(self, docx_path):

api/core/rag/index_processor/index_processor.py

@@ -9,8 +9,8 @@ from flask import current_app
 from sqlalchemy import delete, func, select
 
 from core.db.session_factory import session_factory
-from core.workflow.nodes.knowledge_index.exc import KnowledgeIndexNodeError
-from core.workflow.nodes.knowledge_index.protocols import Preview, PreviewItem, QaPreview
+from dify_graph.nodes.knowledge_index.exc import KnowledgeIndexNodeError
+from dify_graph.repositories.index_processor_protocol import Preview, PreviewItem, QaPreview
 from models.dataset import Dataset, Document, DocumentSegment
 
 from .index_processor_factory import IndexProcessorFactory

api/core/rag/index_processor/index_processor_base.py

@@ -294,7 +294,7 @@ class BaseIndexProcessor(ABC):
             logging.warning("Error downloading image from %s: %s", image_url, str(e))
             return None
         except Exception:
-            logging.warning("Unexpected error downloading image from %s", image_url, exc_info=True)
+            logging.exception("Unexpected error downloading image from %s", image_url)
             return None
 
     def _download_tool_file(self, tool_file_id: str, current_user: Account) -> str | None: