fix(graph_engine): error strategy fall. (#26078)

Signed-off-by: -LAN- <laipz8200@outlook.com>

.devcontainer/post_create_command.sh

@@ -1,15 +1,16 @@
 #!/bin/bash
+WORKSPACE_ROOT=$(pwd)
 
 corepack enable
 cd web && pnpm install
 pipx install uv
 
-echo 'alias start-api="cd /workspaces/dify/api && uv run python -m flask run --host 0.0.0.0 --port=5001 --debug"' >> ~/.bashrc
-echo 'alias start-worker="cd /workspaces/dify/api && uv run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion,plugin,workflow_storage"' >> ~/.bashrc
-echo 'alias start-web="cd /workspaces/dify/web && pnpm dev"' >> ~/.bashrc
-echo 'alias start-web-prod="cd /workspaces/dify/web && pnpm build && pnpm start"' >> ~/.bashrc
-echo 'alias start-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify --env-file middleware.env up -d"' >> ~/.bashrc
-echo 'alias stop-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify --env-file middleware.env down"' >> ~/.bashrc
+echo "alias start-api=\"cd $WORKSPACE_ROOT/api && uv run python -m flask run --host 0.0.0.0 --port=5001 --debug\"" >> ~/.bashrc
+echo "alias start-worker=\"cd $WORKSPACE_ROOT/api && uv run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion,plugin,workflow_storage\"" >> ~/.bashrc
+echo "alias start-web=\"cd $WORKSPACE_ROOT/web && pnpm dev\"" >> ~/.bashrc
+echo "alias start-web-prod=\"cd $WORKSPACE_ROOT/web && pnpm build && pnpm start\"" >> ~/.bashrc
+echo "alias start-containers=\"cd $WORKSPACE_ROOT/docker && docker-compose -f docker-compose.middleware.yaml -p dify --env-file middleware.env up -d\"" >> ~/.bashrc
+echo "alias stop-containers=\"cd $WORKSPACE_ROOT/docker && docker-compose -f docker-compose.middleware.yaml -p dify --env-file middleware.env down\"" >> ~/.bashrc
 
 source /home/vscode/.bashrc
 

.github/workflows/build-push.yml

@@ -8,8 +8,6 @@ on:
       - "deploy/enterprise"
       - "build/**"
       - "release/e-*"
-      - "deploy/rag-dev"
-      - "feat/rag-2"
     tags:
       - "*"
 

.github/workflows/deploy-dev.yml

@@ -4,7 +4,7 @@ on:
   workflow_run:
     workflows: ["Build and Push API & Web"]
     branches:
-      - "deploy/rag-dev"
+      - "deploy/dev"
     types:
       - completed
 
@@ -13,7 +13,7 @@ jobs:
     runs-on: ubuntu-latest
     if: |
       github.event.workflow_run.conclusion == 'success' &&
-      github.event.workflow_run.head_branch == 'deploy/rag-dev'
+      github.event.workflow_run.head_branch == 'deploy/dev'
     steps:
       - name: Deploy to server
         uses: appleboy/ssh-action@v0.1.8

.gitignore

@@ -230,4 +230,8 @@ api/.env.backup
 
 # Benchmark
 scripts/stress-test/setup/config/
-scripts/stress-test/reports/
+scripts/stress-test/reports/
+
+# mcp
+.playwright-mcp/
+.serena/

Makefile

@@ -61,8 +61,9 @@ check:
 	@echo "✅ Code check complete"
 
 lint:
-	@echo "🔧 Running ruff format and check with fixes..."
-	@uv run --directory api --dev sh -c 'ruff format ./api && ruff check --fix ./api'
+	@echo "🔧 Running ruff format, check with fixes, and import linter..."
+	@uv run --project api --dev sh -c 'ruff format ./api && ruff check --fix ./api'
+	@uv run --directory api --dev lint-imports
 	@echo "✅ Linting complete"
 
 type-check:

api/.env.example

@@ -304,6 +304,8 @@ BAIDU_VECTOR_DB_API_KEY=dify
 BAIDU_VECTOR_DB_DATABASE=dify
 BAIDU_VECTOR_DB_SHARD=1
 BAIDU_VECTOR_DB_REPLICAS=3
+BAIDU_VECTOR_DB_INVERTED_INDEX_ANALYZER=DEFAULT_ANALYZER
+BAIDU_VECTOR_DB_INVERTED_INDEX_PARSER_MODE=COARSE_MODE
 
 # Upstash configuration
 UPSTASH_VECTOR_URL=your-server-url

api/.ruff.toml

@@ -30,6 +30,7 @@ select = [
     "RUF022",  # unsorted-dunder-all
     "S506",    # unsafe-yaml-load
     "SIM",     # flake8-simplify rules
+    "T201",    # print-found
     "TRY400",  # error-instead-of-exception
     "TRY401",  # verbose-log-message
     "UP",      # pyupgrade rules
@@ -91,11 +92,18 @@ ignore = [
 "configs/*" = [
     "N802", # invalid-function-name
 ]
+"core/model_runtime/callbacks/base_callback.py" = [
+    "T201",
+]
+"core/workflow/callbacks/workflow_logging_callback.py" = [
+    "T201",
+]
 "libs/gmpy2_pkcs10aep_cipher.py" = [
     "N803", # invalid-argument-name
 ]
 "tests/*" = [
     "F811", # redefined-while-unused
+    "T201", # allow print in tests
 ]
 
 [lint.pyflakes]

api/celery_entrypoint.py

@@ -1,20 +1,11 @@
-import logging
-
 import psycogreen.gevent as pscycogreen_gevent  # type: ignore
 from grpc.experimental import gevent as grpc_gevent  # type: ignore
 
-_logger = logging.getLogger(__name__)
-
-
-def _log(message: str):
-    print(message, flush=True)
-
-
 # grpc gevent
 grpc_gevent.init_gevent()
-_log("gRPC  patched with gevent.")
+print("gRPC patched with gevent.", flush=True)  # noqa: T201
 pscycogreen_gevent.patch_psycopg()
-_log("psycopg2 patched with gevent.")
+print("psycopg2 patched with gevent.", flush=True)  # noqa: T201
 
 
 from app import app, celery

api/commands.py

@@ -739,18 +739,18 @@ where sites.id is null limit 1000"""
                 try:
                     app = db.session.query(App).where(App.id == app_id).first()
                     if not app:
-                        print(f"App {app_id} not found")
+                        logger.info("App %s not found", app_id)
                         continue
 
                     tenant = app.tenant
                     if tenant:
                         accounts = tenant.get_accounts()
                         if not accounts:
-                            print(f"Fix failed for app {app.id}")
+                            logger.info("Fix failed for app %s", app.id)
                             continue
 
                         account = accounts[0]
-                        print(f"Fixing missing site for app {app.id}")
+                        logger.info("Fixing missing site for app %s", app.id)
                         app_was_created.send(app, account=account)
                 except Exception:
                     failed_app_ids.append(app_id)
@@ -1448,41 +1448,52 @@ def transform_datasource_credentials():
                     notion_credentials_tenant_mapping[tenant_id] = []
                 notion_credentials_tenant_mapping[tenant_id].append(notion_credential)
             for tenant_id, notion_tenant_credentials in notion_credentials_tenant_mapping.items():
-                # check notion plugin is installed
-                installed_plugins = installer_manager.list_plugins(tenant_id)
-                installed_plugins_ids = [plugin.plugin_id for plugin in installed_plugins]
-                if notion_plugin_id not in installed_plugins_ids:
-                    if notion_plugin_unique_identifier:
-                        # install notion plugin
-                        PluginService.install_from_marketplace_pkg(tenant_id, [notion_plugin_unique_identifier])
-                auth_count = 0
-                for notion_tenant_credential in notion_tenant_credentials:
-                    auth_count += 1
-                    # get credential oauth params
-                    access_token = notion_tenant_credential.access_token
-                    # notion info
-                    notion_info = notion_tenant_credential.source_info
-                    workspace_id = notion_info.get("workspace_id")
-                    workspace_name = notion_info.get("workspace_name")
-                    workspace_icon = notion_info.get("workspace_icon")
-                    new_credentials = {
-                        "integration_secret": encrypter.encrypt_token(tenant_id, access_token),
-                        "workspace_id": workspace_id,
-                        "workspace_name": workspace_name,
-                        "workspace_icon": workspace_icon,
-                    }
-                    datasource_provider = DatasourceProvider(
-                        provider="notion_datasource",
-                        tenant_id=tenant_id,
-                        plugin_id=notion_plugin_id,
-                        auth_type=oauth_credential_type.value,
-                        encrypted_credentials=new_credentials,
-                        name=f"Auth {auth_count}",
-                        avatar_url=workspace_icon or "default",
-                        is_default=False,
+                tenant = db.session.query(Tenant).filter_by(id=tenant_id).first()
+                if not tenant:
+                    continue
+                try:
+                    # check notion plugin is installed
+                    installed_plugins = installer_manager.list_plugins(tenant_id)
+                    installed_plugins_ids = [plugin.plugin_id for plugin in installed_plugins]
+                    if notion_plugin_id not in installed_plugins_ids:
+                        if notion_plugin_unique_identifier:
+                            # install notion plugin
+                            PluginService.install_from_marketplace_pkg(tenant_id, [notion_plugin_unique_identifier])
+                    auth_count = 0
+                    for notion_tenant_credential in notion_tenant_credentials:
+                        auth_count += 1
+                        # get credential oauth params
+                        access_token = notion_tenant_credential.access_token
+                        # notion info
+                        notion_info = notion_tenant_credential.source_info
+                        workspace_id = notion_info.get("workspace_id")
+                        workspace_name = notion_info.get("workspace_name")
+                        workspace_icon = notion_info.get("workspace_icon")
+                        new_credentials = {
+                            "integration_secret": encrypter.encrypt_token(tenant_id, access_token),
+                            "workspace_id": workspace_id,
+                            "workspace_name": workspace_name,
+                            "workspace_icon": workspace_icon,
+                        }
+                        datasource_provider = DatasourceProvider(
+                            provider="notion_datasource",
+                            tenant_id=tenant_id,
+                            plugin_id=notion_plugin_id,
+                            auth_type=oauth_credential_type.value,
+                            encrypted_credentials=new_credentials,
+                            name=f"Auth {auth_count}",
+                            avatar_url=workspace_icon or "default",
+                            is_default=False,
+                        )
+                        db.session.add(datasource_provider)
+                        deal_notion_count += 1
+                except Exception as e:
+                    click.echo(
+                        click.style(
+                            f"Error transforming notion credentials: {str(e)}, tenant_id: {tenant_id}", fg="red"
+                        )
                     )
-                    db.session.add(datasource_provider)
-                    deal_notion_count += 1
+                    continue
                 db.session.commit()
         # deal firecrawl credentials
         deal_firecrawl_count = 0
@@ -1495,37 +1506,48 @@ def transform_datasource_credentials():
                     firecrawl_credentials_tenant_mapping[tenant_id] = []
                 firecrawl_credentials_tenant_mapping[tenant_id].append(firecrawl_credential)
             for tenant_id, firecrawl_tenant_credentials in firecrawl_credentials_tenant_mapping.items():
-                # check firecrawl plugin is installed
-                installed_plugins = installer_manager.list_plugins(tenant_id)
-                installed_plugins_ids = [plugin.plugin_id for plugin in installed_plugins]
-                if firecrawl_plugin_id not in installed_plugins_ids:
-                    if firecrawl_plugin_unique_identifier:
-                        # install firecrawl plugin
-                        PluginService.install_from_marketplace_pkg(tenant_id, [firecrawl_plugin_unique_identifier])
+                tenant = db.session.query(Tenant).filter_by(id=tenant_id).first()
+                if not tenant:
+                    continue
+                try:
+                    # check firecrawl plugin is installed
+                    installed_plugins = installer_manager.list_plugins(tenant_id)
+                    installed_plugins_ids = [plugin.plugin_id for plugin in installed_plugins]
+                    if firecrawl_plugin_id not in installed_plugins_ids:
+                        if firecrawl_plugin_unique_identifier:
+                            # install firecrawl plugin
+                            PluginService.install_from_marketplace_pkg(tenant_id, [firecrawl_plugin_unique_identifier])
 
-                auth_count = 0
-                for firecrawl_tenant_credential in firecrawl_tenant_credentials:
-                    auth_count += 1
-                    # get credential api key
-                    credentials_json = json.loads(firecrawl_tenant_credential.credentials)
-                    api_key = credentials_json.get("config", {}).get("api_key")
-                    base_url = credentials_json.get("config", {}).get("base_url")
-                    new_credentials = {
-                        "firecrawl_api_key": api_key,
-                        "base_url": base_url,
-                    }
-                    datasource_provider = DatasourceProvider(
-                        provider="firecrawl",
-                        tenant_id=tenant_id,
-                        plugin_id=firecrawl_plugin_id,
-                        auth_type=api_key_credential_type.value,
-                        encrypted_credentials=new_credentials,
-                        name=f"Auth {auth_count}",
-                        avatar_url="default",
-                        is_default=False,
+                    auth_count = 0
+                    for firecrawl_tenant_credential in firecrawl_tenant_credentials:
+                        auth_count += 1
+                        # get credential api key
+                        credentials_json = json.loads(firecrawl_tenant_credential.credentials)
+                        api_key = credentials_json.get("config", {}).get("api_key")
+                        base_url = credentials_json.get("config", {}).get("base_url")
+                        new_credentials = {
+                            "firecrawl_api_key": api_key,
+                            "base_url": base_url,
+                        }
+                        datasource_provider = DatasourceProvider(
+                            provider="firecrawl",
+                            tenant_id=tenant_id,
+                            plugin_id=firecrawl_plugin_id,
+                            auth_type=api_key_credential_type.value,
+                            encrypted_credentials=new_credentials,
+                            name=f"Auth {auth_count}",
+                            avatar_url="default",
+                            is_default=False,
+                        )
+                        db.session.add(datasource_provider)
+                        deal_firecrawl_count += 1
+                except Exception as e:
+                    click.echo(
+                        click.style(
+                            f"Error transforming firecrawl credentials: {str(e)}, tenant_id: {tenant_id}", fg="red"
+                        )
                     )
-                    db.session.add(datasource_provider)
-                    deal_firecrawl_count += 1
+                    continue
                 db.session.commit()
         # deal jina credentials
         deal_jina_count = 0
@@ -1538,36 +1560,45 @@ def transform_datasource_credentials():
                     jina_credentials_tenant_mapping[tenant_id] = []
                 jina_credentials_tenant_mapping[tenant_id].append(jina_credential)
             for tenant_id, jina_tenant_credentials in jina_credentials_tenant_mapping.items():
-                # check jina plugin is installed
-                installed_plugins = installer_manager.list_plugins(tenant_id)
-                installed_plugins_ids = [plugin.plugin_id for plugin in installed_plugins]
-                if jina_plugin_id not in installed_plugins_ids:
-                    if jina_plugin_unique_identifier:
-                        # install jina plugin
-                        print(jina_plugin_unique_identifier)
-                        PluginService.install_from_marketplace_pkg(tenant_id, [jina_plugin_unique_identifier])
+                tenant = db.session.query(Tenant).filter_by(id=tenant_id).first()
+                if not tenant:
+                    continue
+                try:
+                    # check jina plugin is installed
+                    installed_plugins = installer_manager.list_plugins(tenant_id)
+                    installed_plugins_ids = [plugin.plugin_id for plugin in installed_plugins]
+                    if jina_plugin_id not in installed_plugins_ids:
+                        if jina_plugin_unique_identifier:
+                            # install jina plugin
+                            logger.debug("Installing Jina plugin %s", jina_plugin_unique_identifier)
+                            PluginService.install_from_marketplace_pkg(tenant_id, [jina_plugin_unique_identifier])
 
-                auth_count = 0
-                for jina_tenant_credential in jina_tenant_credentials:
-                    auth_count += 1
-                    # get credential api key
-                    credentials_json = json.loads(jina_tenant_credential.credentials)
-                    api_key = credentials_json.get("config", {}).get("api_key")
-                    new_credentials = {
-                        "integration_secret": api_key,
-                    }
-                    datasource_provider = DatasourceProvider(
-                        provider="jina",
-                        tenant_id=tenant_id,
-                        plugin_id=jina_plugin_id,
-                        auth_type=api_key_credential_type.value,
-                        encrypted_credentials=new_credentials,
-                        name=f"Auth {auth_count}",
-                        avatar_url="default",
-                        is_default=False,
+                    auth_count = 0
+                    for jina_tenant_credential in jina_tenant_credentials:
+                        auth_count += 1
+                        # get credential api key
+                        credentials_json = json.loads(jina_tenant_credential.credentials)
+                        api_key = credentials_json.get("config", {}).get("api_key")
+                        new_credentials = {
+                            "integration_secret": api_key,
+                        }
+                        datasource_provider = DatasourceProvider(
+                            provider="jina",
+                            tenant_id=tenant_id,
+                            plugin_id=jina_plugin_id,
+                            auth_type=api_key_credential_type.value,
+                            encrypted_credentials=new_credentials,
+                            name=f"Auth {auth_count}",
+                            avatar_url="default",
+                            is_default=False,
+                        )
+                        db.session.add(datasource_provider)
+                        deal_jina_count += 1
+                except Exception as e:
+                    click.echo(
+                        click.style(f"Error transforming jina credentials: {str(e)}, tenant_id: {tenant_id}", fg="red")
                     )
-                    db.session.add(datasource_provider)
-                    deal_jina_count += 1
+                    continue
                 db.session.commit()
     except Exception as e:
         click.echo(click.style(f"Error parsing client params: {str(e)}", fg="red"))

api/configs/middleware/vdb/baidu_vector_config.py

@@ -41,3 +41,13 @@ class BaiduVectorDBConfig(BaseSettings):
         description="Number of replicas for the Baidu Vector Database (default is 3)",
         default=3,
     )
+
+    BAIDU_VECTOR_DB_INVERTED_INDEX_ANALYZER: str = Field(
+        description="Analyzer type for inverted index in Baidu Vector Database (default is DEFAULT_ANALYZER)",
+        default="DEFAULT_ANALYZER",
+    )
+
+    BAIDU_VECTOR_DB_INVERTED_INDEX_PARSER_MODE: str = Field(
+        description="Parser mode for inverted index in Baidu Vector Database (default is COARSE_MODE)",
+        default="COARSE_MODE",
+    )

api/configs/middleware/vdb/oceanbase_config.py

@@ -37,3 +37,11 @@ class OceanBaseVectorConfig(BaseSettings):
         "with older versions",
         default=False,
     )
+
+    OCEANBASE_FULLTEXT_PARSER: str | None = Field(
+        description=(
+            "Fulltext parser to use for text indexing. Options: 'japanese_ftparser' (Japanese), "
+            "'thai_ftparser' (Thai), 'ik' (Chinese). Default is 'ik'"
+        ),
+        default="ik",
+    )

api/configs/remote_settings_sources/nacos/http_request.py

@@ -5,7 +5,7 @@ import logging
 import os
 import time
 
-import requests
+import httpx
 
 logger = logging.getLogger(__name__)
 
@@ -30,10 +30,10 @@ class NacosHttpClient:
             params = {}
         try:
             self._inject_auth_info(headers, params)
-            response = requests.request(method, url="http://" + self.server + url, headers=headers, params=params)
+            response = httpx.request(method, url="http://" + self.server + url, headers=headers, params=params)
             response.raise_for_status()
             return response.text
-        except requests.RequestException as e:
+        except httpx.RequestError as e:
             return f"Request to Nacos failed: {e}"
 
     def _inject_auth_info(self, headers: dict[str, str], params: dict[str, str], module: str = "config") -> None:
@@ -78,7 +78,7 @@ class NacosHttpClient:
         params = {"username": self.username, "password": self.password}
         url = "http://" + self.server + "/nacos/v1/auth/login"
         try:
-            resp = requests.request("POST", url, headers=None, params=params)
+            resp = httpx.request("POST", url, headers=None, params=params)
             resp.raise_for_status()
             response_data = resp.json()
             self.token = response_data.get("accessToken")

api/controllers/console/app/message.py

@@ -62,6 +62,9 @@ class ChatMessageListApi(Resource):
     @account_initialization_required
     @marshal_with(message_infinite_scroll_pagination_fields)
     def get(self, app_model):
+        if not isinstance(current_user, Account) or not current_user.has_edit_permission:
+            raise Forbidden()
+
         parser = reqparse.RequestParser()
         parser.add_argument("conversation_id", required=True, type=uuid_value, location="args")
         parser.add_argument("first_id", type=uuid_value, location="args")

api/controllers/console/app/statistic.py

@@ -50,8 +50,9 @@ class DailyMessageStatistic(Resource):
 FROM
     messages
 WHERE
-    app_id = :app_id"""
-        arg_dict = {"tz": account.timezone, "app_id": app_model.id}
+    app_id = :app_id
+    AND invoke_from != :invoke_from"""
+        arg_dict = {"tz": account.timezone, "app_id": app_model.id, "invoke_from": InvokeFrom.DEBUGGER.value}
 
         timezone = pytz.timezone(account.timezone)
         utc_timezone = pytz.utc
@@ -187,8 +188,9 @@ class DailyTerminalsStatistic(Resource):
 FROM
     messages
 WHERE
-    app_id = :app_id"""
-        arg_dict = {"tz": account.timezone, "app_id": app_model.id}
+    app_id = :app_id
+    AND invoke_from != :invoke_from"""
+        arg_dict = {"tz": account.timezone, "app_id": app_model.id, "invoke_from": InvokeFrom.DEBUGGER.value}
 
         timezone = pytz.timezone(account.timezone)
         utc_timezone = pytz.utc
@@ -259,8 +261,9 @@ class DailyTokenCostStatistic(Resource):
 FROM
     messages
 WHERE
-    app_id = :app_id"""
-        arg_dict = {"tz": account.timezone, "app_id": app_model.id}
+    app_id = :app_id
+    AND invoke_from != :invoke_from"""
+        arg_dict = {"tz": account.timezone, "app_id": app_model.id, "invoke_from": InvokeFrom.DEBUGGER.value}
 
         timezone = pytz.timezone(account.timezone)
         utc_timezone = pytz.utc
@@ -340,8 +343,9 @@ FROM
             messages m
             ON c.id = m.conversation_id
         WHERE
-            c.app_id = :app_id"""
-        arg_dict = {"tz": account.timezone, "app_id": app_model.id}
+            c.app_id = :app_id
+            AND m.invoke_from != :invoke_from"""
+        arg_dict = {"tz": account.timezone, "app_id": app_model.id, "invoke_from": InvokeFrom.DEBUGGER.value}
 
         timezone = pytz.timezone(account.timezone)
         utc_timezone = pytz.utc
@@ -426,8 +430,9 @@ LEFT JOIN
     message_feedbacks mf
     ON mf.message_id=m.id AND mf.rating='like'
 WHERE
-    m.app_id = :app_id"""
-        arg_dict = {"tz": account.timezone, "app_id": app_model.id}
+    m.app_id = :app_id
+    AND m.invoke_from != :invoke_from"""
+        arg_dict = {"tz": account.timezone, "app_id": app_model.id, "invoke_from": InvokeFrom.DEBUGGER.value}
 
         timezone = pytz.timezone(account.timezone)
         utc_timezone = pytz.utc
@@ -502,8 +507,9 @@ class AverageResponseTimeStatistic(Resource):
 FROM
     messages
 WHERE
-    app_id = :app_id"""
-        arg_dict = {"tz": account.timezone, "app_id": app_model.id}
+    app_id = :app_id
+    AND invoke_from != :invoke_from"""
+        arg_dict = {"tz": account.timezone, "app_id": app_model.id, "invoke_from": InvokeFrom.DEBUGGER.value}
 
         timezone = pytz.timezone(account.timezone)
         utc_timezone = pytz.utc
@@ -576,8 +582,9 @@ class TokensPerSecondStatistic(Resource):
 FROM
     messages
 WHERE
-    app_id = :app_id"""
-        arg_dict = {"tz": account.timezone, "app_id": app_model.id}
+    app_id = :app_id
+    AND invoke_from != :invoke_from"""
+        arg_dict = {"tz": account.timezone, "app_id": app_model.id, "invoke_from": InvokeFrom.DEBUGGER.value}
 
         timezone = pytz.timezone(account.timezone)
         utc_timezone = pytz.utc

api/controllers/console/auth/data_source_oauth.py

@@ -1,6 +1,6 @@
 import logging
 
-import requests
+import httpx
 from flask import current_app, redirect, request
 from flask_login import current_user
 from flask_restx import Resource, fields
@@ -119,7 +119,7 @@ class OAuthDataSourceBinding(Resource):
                 return {"error": "Invalid code"}, 400
             try:
                 oauth_provider.get_access_token(code)
-            except requests.HTTPError as e:
+            except httpx.HTTPStatusError as e:
                 logger.exception(
                     "An error occurred during the OAuthCallback process with %s: %s", provider, e.response.text
                 )
@@ -152,7 +152,7 @@ class OAuthDataSourceSync(Resource):
             return {"error": "Invalid provider"}, 400
         try:
             oauth_provider.sync_data_source(binding_id)
-        except requests.HTTPError as e:
+        except httpx.HTTPStatusError as e:
             logger.exception(
                 "An error occurred during the OAuthCallback process with %s: %s", provider, e.response.text
             )

api/controllers/console/auth/oauth.py

@@ -1,6 +1,6 @@
 import logging
 
-import requests
+import httpx
 from flask import current_app, redirect, request
 from flask_restx import Resource
 from sqlalchemy import select
@@ -101,8 +101,10 @@ class OAuthCallback(Resource):
         try:
             token = oauth_provider.get_access_token(code)
             user_info = oauth_provider.get_user_info(token)
-        except requests.RequestException as e:
-            error_text = e.response.text if e.response else str(e)
+        except httpx.RequestError as e:
+            error_text = str(e)
+            if isinstance(e, httpx.HTTPStatusError):
+                error_text = e.response.text
             logger.exception("An error occurred during the OAuth process with %s: %s", provider, error_text)
             return {"error": "OAuth process failed"}, 400
 

api/controllers/console/datasets/datasets.py

@@ -782,7 +782,6 @@ class DatasetRetrievalSettingApi(Resource):
                 | VectorType.TIDB_VECTOR
                 | VectorType.CHROMA
                 | VectorType.PGVECTO_RS
-                | VectorType.BAIDU
                 | VectorType.VIKINGDB
                 | VectorType.UPSTASH
             ):
@@ -809,6 +808,7 @@ class DatasetRetrievalSettingApi(Resource):
                 | VectorType.TENCENT
                 | VectorType.MATRIXONE
                 | VectorType.CLICKZETTA
+                | VectorType.BAIDU
             ):
                 return {
                     "retrieval_method": [
@@ -838,7 +838,6 @@ class DatasetRetrievalSettingMockApi(Resource):
                 | VectorType.TIDB_VECTOR
                 | VectorType.CHROMA
                 | VectorType.PGVECTO_RS
-                | VectorType.BAIDU
                 | VectorType.VIKINGDB
                 | VectorType.UPSTASH
             ):
@@ -863,6 +862,7 @@ class DatasetRetrievalSettingMockApi(Resource):
                 | VectorType.HUAWEI_CLOUD
                 | VectorType.MATRIXONE
                 | VectorType.CLICKZETTA
+                | VectorType.BAIDU
             ):
                 return {
                     "retrieval_method": [

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

@@ -118,12 +118,14 @@ class RagPipelineExportApi(Resource):
 
             # Add include_secret params
         parser = reqparse.RequestParser()
-        parser.add_argument("include_secret", type=bool, default=False, location="args")
+        parser.add_argument("include_secret", type=str, default="false", location="args")
         args = parser.parse_args()
 
         with Session(db.engine) as session:
             export_service = RagPipelineDslService(session)
-            result = export_service.export_rag_pipeline_dsl(pipeline=pipeline, include_secret=args["include_secret"])
+            result = export_service.export_rag_pipeline_dsl(
+                pipeline=pipeline, include_secret=args["include_secret"] == "true"
+            )
 
         return {"data": result}, 200
 

api/controllers/console/version.py

@@ -1,7 +1,7 @@
 import json
 import logging
 
-import requests
+import httpx
 from flask_restx import Resource, fields, reqparse
 from packaging import version
 
@@ -57,7 +57,11 @@ class VersionApi(Resource):
             return result
 
         try:
-            response = requests.get(check_update_url, {"current_version": args["current_version"]}, timeout=(3, 10))
+            response = httpx.get(
+                check_update_url,
+                params={"current_version": args["current_version"]},
+                timeout=httpx.Timeout(connect=3, read=10),
+            )
         except Exception as error:
             logger.warning("Check update version error: %s.", str(error))
             result["version"] = args["current_version"]

api/controllers/web/message.py

@@ -261,6 +261,8 @@ class MessageSuggestedQuestionApi(WebApiResource):
             questions = MessageService.get_suggested_questions_after_answer(
                 app_model=app_model, user=end_user, message_id=message_id, invoke_from=InvokeFrom.WEB_APP
             )
+            # questions is a list of strings, not a list of Message objects
+            # so we can directly return it
         except MessageNotExistsError:
             raise NotFound("Message not found")
         except ConversationNotExistsError:

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

@@ -79,29 +79,12 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
         if not app_record:
             raise ValueError("App not found")
 
-        if self.application_generate_entity.single_iteration_run:
-            # if only single iteration run is requested
-            graph_runtime_state = GraphRuntimeState(
-                variable_pool=VariablePool.empty(),
-                start_at=time.time(),
-            )
-            graph, variable_pool = self._get_graph_and_variable_pool_of_single_iteration(
+        if self.application_generate_entity.single_iteration_run or self.application_generate_entity.single_loop_run:
+            # Handle single iteration or single loop run
+            graph, variable_pool, graph_runtime_state = self._prepare_single_node_execution(
                 workflow=self._workflow,
-                node_id=self.application_generate_entity.single_iteration_run.node_id,
-                user_inputs=dict(self.application_generate_entity.single_iteration_run.inputs),
-                graph_runtime_state=graph_runtime_state,
-            )
-        elif self.application_generate_entity.single_loop_run:
-            # if only single loop run is requested
-            graph_runtime_state = GraphRuntimeState(
-                variable_pool=VariablePool.empty(),
-                start_at=time.time(),
-            )
-            graph, variable_pool = self._get_graph_and_variable_pool_of_single_loop(
-                workflow=self._workflow,
-                node_id=self.application_generate_entity.single_loop_run.node_id,
-                user_inputs=dict(self.application_generate_entity.single_loop_run.inputs),
-                graph_runtime_state=graph_runtime_state,
+                single_iteration_run=self.application_generate_entity.single_iteration_run,
+                single_loop_run=self.application_generate_entity.single_loop_run,
             )
         else:
             inputs = self.application_generate_entity.inputs

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

@@ -427,6 +427,9 @@ class PipelineGenerator(BaseAppGenerator):
             invoke_from=InvokeFrom.DEBUGGER,
             call_depth=0,
             workflow_execution_id=str(uuid.uuid4()),
+            single_iteration_run=RagPipelineGenerateEntity.SingleIterationRunEntity(
+                node_id=node_id, inputs=args["inputs"]
+            ),
         )
         contexts.plugin_tool_providers.set({})
         contexts.plugin_tool_providers_lock.set(threading.Lock())
@@ -465,6 +468,7 @@ class PipelineGenerator(BaseAppGenerator):
             workflow_node_execution_repository=workflow_node_execution_repository,
             streaming=streaming,
             variable_loader=var_loader,
+            context=contextvars.copy_context(),
         )
 
     def single_loop_generate(
@@ -559,6 +563,7 @@ class PipelineGenerator(BaseAppGenerator):
             workflow_node_execution_repository=workflow_node_execution_repository,
             streaming=streaming,
             variable_loader=var_loader,
+            context=contextvars.copy_context(),
         )
 
     def _generate_worker(

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

@@ -86,29 +86,12 @@ class PipelineRunner(WorkflowBasedAppRunner):
         db.session.close()
 
         # if only single iteration run is requested
-        if self.application_generate_entity.single_iteration_run:
-            graph_runtime_state = GraphRuntimeState(
-                variable_pool=VariablePool.empty(),
-                start_at=time.time(),
-            )
-            # if only single iteration run is requested
-            graph, variable_pool = self._get_graph_and_variable_pool_of_single_iteration(
+        if self.application_generate_entity.single_iteration_run or self.application_generate_entity.single_loop_run:
+            # Handle single iteration or single loop run
+            graph, variable_pool, graph_runtime_state = self._prepare_single_node_execution(
                 workflow=workflow,
-                node_id=self.application_generate_entity.single_iteration_run.node_id,
-                user_inputs=self.application_generate_entity.single_iteration_run.inputs,
-                graph_runtime_state=graph_runtime_state,
-            )
-        elif self.application_generate_entity.single_loop_run:
-            graph_runtime_state = GraphRuntimeState(
-                variable_pool=VariablePool.empty(),
-                start_at=time.time(),
-            )
-            # if only single loop run is requested
-            graph, variable_pool = self._get_graph_and_variable_pool_of_single_loop(
-                workflow=workflow,
-                node_id=self.application_generate_entity.single_loop_run.node_id,
-                user_inputs=self.application_generate_entity.single_loop_run.inputs,
-                graph_runtime_state=graph_runtime_state,
+                single_iteration_run=self.application_generate_entity.single_iteration_run,
+                single_loop_run=self.application_generate_entity.single_loop_run,
             )
         else:
             inputs = self.application_generate_entity.inputs

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

@@ -51,30 +51,12 @@ class WorkflowAppRunner(WorkflowBasedAppRunner):
         app_config = self.application_generate_entity.app_config
         app_config = cast(WorkflowAppConfig, app_config)
 
-        # if only single iteration run is requested
-        if self.application_generate_entity.single_iteration_run:
-            # if only single iteration run is requested
-            graph_runtime_state = GraphRuntimeState(
-                variable_pool=VariablePool.empty(),
-                start_at=time.time(),
-            )
-            graph, variable_pool = self._get_graph_and_variable_pool_of_single_iteration(
+        # if only single iteration or single loop run is requested
+        if self.application_generate_entity.single_iteration_run or self.application_generate_entity.single_loop_run:
+            graph, variable_pool, graph_runtime_state = self._prepare_single_node_execution(
                 workflow=self._workflow,
-                node_id=self.application_generate_entity.single_iteration_run.node_id,
-                user_inputs=self.application_generate_entity.single_iteration_run.inputs,
-                graph_runtime_state=graph_runtime_state,
-            )
-        elif self.application_generate_entity.single_loop_run:
-            # if only single loop run is requested
-            graph_runtime_state = GraphRuntimeState(
-                variable_pool=VariablePool.empty(),
-                start_at=time.time(),
-            )
-            graph, variable_pool = self._get_graph_and_variable_pool_of_single_loop(
-                workflow=self._workflow,
-                node_id=self.application_generate_entity.single_loop_run.node_id,
-                user_inputs=self.application_generate_entity.single_loop_run.inputs,
-                graph_runtime_state=graph_runtime_state,
+                single_iteration_run=self.application_generate_entity.single_iteration_run,
+                single_loop_run=self.application_generate_entity.single_loop_run,
             )
         else:
             inputs = self.application_generate_entity.inputs

api/core/app/apps/workflow_app_runner.py

@@ -1,3 +1,4 @@
+import time
 from collections.abc import Mapping
 from typing import Any, cast
 
@@ -119,15 +120,81 @@ class WorkflowBasedAppRunner:
 
         return graph
 
-    def _get_graph_and_variable_pool_of_single_iteration(
+    def _prepare_single_node_execution(
+        self,
+        workflow: Workflow,
+        single_iteration_run: Any | None = None,
+        single_loop_run: Any | None = None,
+    ) -> tuple[Graph, VariablePool, GraphRuntimeState]:
+        """
+        Prepare graph, variable pool, and runtime state for single node execution
+        (either single iteration or single loop).
+
+        Args:
+            workflow: The workflow instance
+            single_iteration_run: SingleIterationRunEntity if running single iteration, None otherwise
+            single_loop_run: SingleLoopRunEntity if running single loop, None otherwise
+
+        Returns:
+            A tuple containing (graph, variable_pool, graph_runtime_state)
+
+        Raises:
+            ValueError: If neither single_iteration_run nor single_loop_run is specified
+        """
+        # Create initial runtime state with variable pool containing environment variables
+        graph_runtime_state = GraphRuntimeState(
+            variable_pool=VariablePool(
+                system_variables=SystemVariable.empty(),
+                user_inputs={},
+                environment_variables=workflow.environment_variables,
+            ),
+            start_at=time.time(),
+        )
+
+        # Determine which type of single node execution and get graph/variable_pool
+        if single_iteration_run:
+            graph, variable_pool = self._get_graph_and_variable_pool_of_single_iteration(
+                workflow=workflow,
+                node_id=single_iteration_run.node_id,
+                user_inputs=dict(single_iteration_run.inputs),
+                graph_runtime_state=graph_runtime_state,
+            )
+        elif single_loop_run:
+            graph, variable_pool = self._get_graph_and_variable_pool_of_single_loop(
+                workflow=workflow,
+                node_id=single_loop_run.node_id,
+                user_inputs=dict(single_loop_run.inputs),
+                graph_runtime_state=graph_runtime_state,
+            )
+        else:
+            raise ValueError("Neither single_iteration_run nor single_loop_run is specified")
+
+        # Return the graph, variable_pool, and the same graph_runtime_state used during graph creation
+        # This ensures all nodes in the graph reference the same GraphRuntimeState instance
+        return graph, variable_pool, graph_runtime_state
+
+    def _get_graph_and_variable_pool_for_single_node_run(
         self,
         workflow: Workflow,
         node_id: str,
-        user_inputs: dict,
+        user_inputs: dict[str, Any],
         graph_runtime_state: GraphRuntimeState,
+        node_type_filter_key: str,  # 'iteration_id' or 'loop_id'
+        node_type_label: str = "node",  # 'iteration' or 'loop' for error messages
     ) -> tuple[Graph, VariablePool]:
         """
-        Get variable pool of single iteration
+        Get graph and variable pool for single node execution (iteration or loop).
+
+        Args:
+            workflow: The workflow instance
+            node_id: The node ID to execute
+            user_inputs: User inputs for the node
+            graph_runtime_state: The graph runtime state
+            node_type_filter_key: The key to filter nodes ('iteration_id' or 'loop_id')
+            node_type_label: Label for error messages ('iteration' or 'loop')
+
+        Returns:
+            A tuple containing (graph, variable_pool)
         """
         # fetch workflow graph
         graph_config = workflow.graph_dict
@@ -145,18 +212,22 @@ class WorkflowBasedAppRunner:
         if not isinstance(graph_config.get("edges"), list):
             raise ValueError("edges in workflow graph must be a list")
 
-        # filter nodes only in iteration
+        # filter nodes only in the specified node type (iteration or loop)
+        main_node_config = next((n for n in graph_config.get("nodes", []) if n.get("id") == node_id), None)
+        start_node_id = main_node_config.get("data", {}).get("start_node_id") if main_node_config else None
         node_configs = [
             node
             for node in graph_config.get("nodes", [])
-            if node.get("id") == node_id or node.get("data", {}).get("iteration_id", "") == node_id
+            if node.get("id") == node_id
+            or node.get("data", {}).get(node_type_filter_key, "") == node_id
+            or (start_node_id and node.get("id") == start_node_id)
         ]
 
         graph_config["nodes"] = node_configs
 
         node_ids = [node.get("id") for node in node_configs]
 
-        # filter edges only in iteration
+        # filter edges only in the specified node type
         edge_configs = [
             edge
             for edge in graph_config.get("edges", [])
@@ -190,30 +261,26 @@ class WorkflowBasedAppRunner:
             raise ValueError("graph not found in workflow")
 
         # fetch node config from node id
-        iteration_node_config = None
+        target_node_config = None
         for node in node_configs:
             if node.get("id") == node_id:
-                iteration_node_config = node
+                target_node_config = node
                 break
 
-        if not iteration_node_config:
-            raise ValueError("iteration node id not found in workflow graph")
+        if not target_node_config:
+            raise ValueError(f"{node_type_label} node id not found in workflow graph")
 
         # Get node class
-        node_type = NodeType(iteration_node_config.get("data", {}).get("type"))
-        node_version = iteration_node_config.get("data", {}).get("version", "1")
+        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]
 
-        # init variable pool
-        variable_pool = VariablePool(
-            system_variables=SystemVariable.empty(),
-            user_inputs={},
-            environment_variables=workflow.environment_variables,
-        )
+        # Use the variable pool from graph_runtime_state instead of creating a new one
+        variable_pool = graph_runtime_state.variable_pool
 
         try:
             variable_mapping = node_cls.extract_variable_selector_to_variable_mapping(
-                graph_config=workflow.graph_dict, config=iteration_node_config
+                graph_config=workflow.graph_dict, config=target_node_config
             )
         except NotImplementedError:
             variable_mapping = {}
@@ -234,120 +301,44 @@ class WorkflowBasedAppRunner:
 
         return graph, variable_pool
 
+    def _get_graph_and_variable_pool_of_single_iteration(
+        self,
+        workflow: Workflow,
+        node_id: str,
+        user_inputs: dict[str, Any],
+        graph_runtime_state: GraphRuntimeState,
+    ) -> tuple[Graph, VariablePool]:
+        """
+        Get variable pool of single iteration
+        """
+        return self._get_graph_and_variable_pool_for_single_node_run(
+            workflow=workflow,
+            node_id=node_id,
+            user_inputs=user_inputs,
+            graph_runtime_state=graph_runtime_state,
+            node_type_filter_key="iteration_id",
+            node_type_label="iteration",
+        )
+
     def _get_graph_and_variable_pool_of_single_loop(
         self,
         workflow: Workflow,
         node_id: str,
-        user_inputs: dict,
+        user_inputs: dict[str, Any],
         graph_runtime_state: GraphRuntimeState,
     ) -> tuple[Graph, VariablePool]:
         """
         Get variable pool of single loop
         """
-        # fetch workflow graph
-        graph_config = workflow.graph_dict
-        if not graph_config:
-            raise ValueError("workflow graph not found")
-
-        graph_config = cast(dict[str, Any], graph_config)
-
-        if "nodes" not in graph_config or "edges" not in graph_config:
-            raise ValueError("nodes or edges not found in workflow graph")
-
-        if not isinstance(graph_config.get("nodes"), list):
-            raise ValueError("nodes in workflow graph must be a list")
-
-        if not isinstance(graph_config.get("edges"), list):
-            raise ValueError("edges in workflow graph must be a list")
-
-        # filter nodes only in loop
-        node_configs = [
-            node
-            for node in graph_config.get("nodes", [])
-            if node.get("id") == node_id or node.get("data", {}).get("loop_id", "") == node_id
-        ]
-
-        graph_config["nodes"] = node_configs
-
-        node_ids = [node.get("id") for node in node_configs]
-
-        # filter edges only in loop
-        edge_configs = [
-            edge
-            for edge in graph_config.get("edges", [])
-            if (edge.get("source") is None or edge.get("source") in node_ids)
-            and (edge.get("target") is None or edge.get("target") in node_ids)
-        ]
-
-        graph_config["edges"] = edge_configs
-
-        # Create required parameters for Graph.init
-        graph_init_params = GraphInitParams(
-            tenant_id=workflow.tenant_id,
-            app_id=self._app_id,
-            workflow_id=workflow.id,
-            graph_config=graph_config,
-            user_id="",
-            user_from=UserFrom.ACCOUNT.value,
-            invoke_from=InvokeFrom.SERVICE_API.value,
-            call_depth=0,
-        )
-
-        node_factory = DifyNodeFactory(
-            graph_init_params=graph_init_params,
+        return self._get_graph_and_variable_pool_for_single_node_run(
+            workflow=workflow,
+            node_id=node_id,
+            user_inputs=user_inputs,
             graph_runtime_state=graph_runtime_state,
+            node_type_filter_key="loop_id",
+            node_type_label="loop",
         )
 
-        # init graph
-        graph = Graph.init(graph_config=graph_config, node_factory=node_factory, root_node_id=node_id)
-
-        if not graph:
-            raise ValueError("graph not found in workflow")
-
-        # fetch node config from node id
-        loop_node_config = None
-        for node in node_configs:
-            if node.get("id") == node_id:
-                loop_node_config = node
-                break
-
-        if not loop_node_config:
-            raise ValueError("loop node id not found in workflow graph")
-
-        # Get node class
-        node_type = NodeType(loop_node_config.get("data", {}).get("type"))
-        node_version = loop_node_config.get("data", {}).get("version", "1")
-        node_cls = NODE_TYPE_CLASSES_MAPPING[node_type][node_version]
-
-        # init variable pool
-        variable_pool = VariablePool(
-            system_variables=SystemVariable.empty(),
-            user_inputs={},
-            environment_variables=workflow.environment_variables,
-        )
-
-        try:
-            variable_mapping = node_cls.extract_variable_selector_to_variable_mapping(
-                graph_config=workflow.graph_dict, config=loop_node_config
-            )
-        except NotImplementedError:
-            variable_mapping = {}
-        load_into_variable_pool(
-            self._variable_loader,
-            variable_pool=variable_pool,
-            variable_mapping=variable_mapping,
-            user_inputs=user_inputs,
-        )
-
-        WorkflowEntry.mapping_user_inputs_to_variable_pool(
-            variable_mapping=variable_mapping,
-            user_inputs=user_inputs,
-            variable_pool=variable_pool,
-            tenant_id=workflow.tenant_id,
-        )
-
-        return graph, variable_pool
-
     def _handle_event(self, workflow_entry: WorkflowEntry, event: GraphEngineEvent):
         """
         Handle event

api/core/datasource/utils/parser.py

@@ -1,388 +0,0 @@
-import re
-import uuid
-from json import dumps as json_dumps
-from json import loads as json_loads
-from json.decoder import JSONDecodeError
-
-from flask import request
-from requests import get
-from yaml import YAMLError, safe_load  # type: ignore
-
-from core.tools.entities.common_entities import I18nObject
-from core.tools.entities.tool_bundle import ApiToolBundle
-from core.tools.entities.tool_entities import ApiProviderSchemaType, ToolParameter
-from core.tools.errors import ToolApiSchemaError, ToolNotSupportedError, ToolProviderNotFoundError
-
-
-class ApiBasedToolSchemaParser:
-    @staticmethod
-    def parse_openapi_to_tool_bundle(
-        openapi: dict, extra_info: dict | None = None, warning: dict | None = None
-    ) -> list[ApiToolBundle]:
-        warning = warning if warning is not None else {}
-        extra_info = extra_info if extra_info is not None else {}
-
-        # set description to extra_info
-        extra_info["description"] = openapi["info"].get("description", "")
-
-        if len(openapi["servers"]) == 0:
-            raise ToolProviderNotFoundError("No server found in the openapi yaml.")
-
-        server_url = openapi["servers"][0]["url"]
-        request_env = request.headers.get("X-Request-Env")
-        if request_env:
-            matched_servers = [server["url"] for server in openapi["servers"] if server["env"] == request_env]
-            server_url = matched_servers[0] if matched_servers else server_url
-
-        # list all interfaces
-        interfaces = []
-        for path, path_item in openapi["paths"].items():
-            methods = ["get", "post", "put", "delete", "patch", "head", "options", "trace"]
-            for method in methods:
-                if method in path_item:
-                    interfaces.append(
-                        {
-                            "path": path,
-                            "method": method,
-                            "operation": path_item[method],
-                        }
-                    )
-
-        # get all parameters
-        bundles = []
-        for interface in interfaces:
-            # convert parameters
-            parameters = []
-            if "parameters" in interface["operation"]:
-                for parameter in interface["operation"]["parameters"]:
-                    tool_parameter = ToolParameter(
-                        name=parameter["name"],
-                        label=I18nObject(en_US=parameter["name"], zh_Hans=parameter["name"]),
-                        human_description=I18nObject(
-                            en_US=parameter.get("description", ""), zh_Hans=parameter.get("description", "")
-                        ),
-                        type=ToolParameter.ToolParameterType.STRING,
-                        required=parameter.get("required", False),
-                        form=ToolParameter.ToolParameterForm.LLM,
-                        llm_description=parameter.get("description"),
-                        default=parameter["schema"]["default"]
-                        if "schema" in parameter and "default" in parameter["schema"]
-                        else None,
-                        placeholder=I18nObject(
-                            en_US=parameter.get("description", ""), zh_Hans=parameter.get("description", "")
-                        ),
-                    )
-
-                    # check if there is a type
-                    typ = ApiBasedToolSchemaParser._get_tool_parameter_type(parameter)
-                    if typ:
-                        tool_parameter.type = typ
-
-                    parameters.append(tool_parameter)
-            # create tool bundle
-            # check if there is a request body
-            if "requestBody" in interface["operation"]:
-                request_body = interface["operation"]["requestBody"]
-                if "content" in request_body:
-                    for content_type, content in request_body["content"].items():
-                        # if there is a reference, get the reference and overwrite the content
-                        if "schema" not in content:
-                            continue
-
-                        if "$ref" in content["schema"]:
-                            # get the reference
-                            root = openapi
-                            reference = content["schema"]["$ref"].split("/")[1:]
-                            for ref in reference:
-                                root = root[ref]
-                            # overwrite the content
-                            interface["operation"]["requestBody"]["content"][content_type]["schema"] = root
-
-                    # parse body parameters
-                    if "schema" in interface["operation"]["requestBody"]["content"][content_type]:  # pyright: ignore[reportIndexIssue, reportPossiblyUnboundVariable]
-                        body_schema = interface["operation"]["requestBody"]["content"][content_type]["schema"]  # pyright: ignore[reportIndexIssue, reportPossiblyUnboundVariable]
-                        required = body_schema.get("required", [])
-                        properties = body_schema.get("properties", {})
-                        for name, property in properties.items():
-                            tool = ToolParameter(
-                                name=name,
-                                label=I18nObject(en_US=name, zh_Hans=name),
-                                human_description=I18nObject(
-                                    en_US=property.get("description", ""), zh_Hans=property.get("description", "")
-                                ),
-                                type=ToolParameter.ToolParameterType.STRING,
-                                required=name in required,
-                                form=ToolParameter.ToolParameterForm.LLM,
-                                llm_description=property.get("description", ""),
-                                default=property.get("default", None),
-                                placeholder=I18nObject(
-                                    en_US=property.get("description", ""), zh_Hans=property.get("description", "")
-                                ),
-                            )
-
-                            # check if there is a type
-                            typ = ApiBasedToolSchemaParser._get_tool_parameter_type(property)
-                            if typ:
-                                tool.type = typ
-
-                            parameters.append(tool)
-
-            # check if parameters is duplicated
-            parameters_count = {}
-            for parameter in parameters:
-                if parameter.name not in parameters_count:
-                    parameters_count[parameter.name] = 0
-                parameters_count[parameter.name] += 1
-            for name, count in parameters_count.items():
-                if count > 1:
-                    warning["duplicated_parameter"] = f"Parameter {name} is duplicated."
-
-            # check if there is a operation id, use $path_$method as operation id if not
-            if "operationId" not in interface["operation"]:
-                # remove special characters like / to ensure the operation id is valid ^[a-zA-Z0-9_-]{1,64}$
-                path = interface["path"]
-                if interface["path"].startswith("/"):
-                    path = interface["path"][1:]
-                # remove special characters like / to ensure the operation id is valid ^[a-zA-Z0-9_-]{1,64}$
-                path = re.sub(r"[^a-zA-Z0-9_-]", "", path)
-                if not path:
-                    path = str(uuid.uuid4())
-
-                interface["operation"]["operationId"] = f"{path}_{interface['method']}"
-
-            bundles.append(
-                ApiToolBundle(
-                    server_url=server_url + interface["path"],
-                    method=interface["method"],
-                    summary=interface["operation"]["description"]
-                    if "description" in interface["operation"]
-                    else interface["operation"].get("summary", None),
-                    operation_id=interface["operation"]["operationId"],
-                    parameters=parameters,
-                    author="",
-                    icon=None,
-                    openapi=interface["operation"],
-                )
-            )
-
-        return bundles
-
-    @staticmethod
-    def _get_tool_parameter_type(parameter: dict) -> ToolParameter.ToolParameterType | None:
-        parameter = parameter or {}
-        typ: str | None = None
-        if parameter.get("format") == "binary":
-            return ToolParameter.ToolParameterType.FILE
-
-        if "type" in parameter:
-            typ = parameter["type"]
-        elif "schema" in parameter and "type" in parameter["schema"]:
-            typ = parameter["schema"]["type"]
-
-        if typ in {"integer", "number"}:
-            return ToolParameter.ToolParameterType.NUMBER
-        elif typ == "boolean":
-            return ToolParameter.ToolParameterType.BOOLEAN
-        elif typ == "string":
-            return ToolParameter.ToolParameterType.STRING
-        elif typ == "array":
-            items = parameter.get("items") or parameter.get("schema", {}).get("items")
-            return ToolParameter.ToolParameterType.FILES if items and items.get("format") == "binary" else None
-        else:
-            return None
-
-    @staticmethod
-    def parse_openapi_yaml_to_tool_bundle(
-        yaml: str, extra_info: dict | None = None, warning: dict | None = None
-    ) -> list[ApiToolBundle]:
-        """
-        parse openapi yaml to tool bundle
-
-        :param yaml: the yaml string
-        :param extra_info: the extra info
-        :param warning: the warning message
-        :return: the tool bundle
-        """
-        warning = warning if warning is not None else {}
-        extra_info = extra_info if extra_info is not None else {}
-
-        openapi: dict = safe_load(yaml)
-        if openapi is None:
-            raise ToolApiSchemaError("Invalid openapi yaml.")
-        return ApiBasedToolSchemaParser.parse_openapi_to_tool_bundle(openapi, extra_info=extra_info, warning=warning)
-
-    @staticmethod
-    def parse_swagger_to_openapi(swagger: dict, extra_info: dict | None = None, warning: dict | None = None) -> dict:
-        warning = warning or {}
-        """
-        parse swagger to openapi
-
-        :param swagger: the swagger dict
-        :return: the openapi dict
-        """
-        # convert swagger to openapi
-        info = swagger.get("info", {"title": "Swagger", "description": "Swagger", "version": "1.0.0"})
-
-        servers = swagger.get("servers", [])
-
-        if len(servers) == 0:
-            raise ToolApiSchemaError("No server found in the swagger yaml.")
-
-        openapi = {
-            "openapi": "3.0.0",
-            "info": {
-                "title": info.get("title", "Swagger"),
-                "description": info.get("description", "Swagger"),
-                "version": info.get("version", "1.0.0"),
-            },
-            "servers": swagger["servers"],
-            "paths": {},
-            "components": {"schemas": {}},
-        }
-
-        # check paths
-        if "paths" not in swagger or len(swagger["paths"]) == 0:
-            raise ToolApiSchemaError("No paths found in the swagger yaml.")
-
-        # convert paths
-        for path, path_item in swagger["paths"].items():
-            openapi["paths"][path] = {}  # pyright: ignore[reportIndexIssue]
-            for method, operation in path_item.items():
-                if "operationId" not in operation:
-                    raise ToolApiSchemaError(f"No operationId found in operation {method} {path}.")
-
-                if ("summary" not in operation or len(operation["summary"]) == 0) and (
-                    "description" not in operation or len(operation["description"]) == 0
-                ):
-                    if warning is not None:
-                        warning["missing_summary"] = f"No summary or description found in operation {method} {path}."
-
-                openapi["paths"][path][method] = {  # pyright: ignore[reportIndexIssue]
-                    "operationId": operation["operationId"],
-                    "summary": operation.get("summary", ""),
-                    "description": operation.get("description", ""),
-                    "parameters": operation.get("parameters", []),
-                    "responses": operation.get("responses", {}),
-                }
-
-                if "requestBody" in operation:
-                    openapi["paths"][path][method]["requestBody"] = operation["requestBody"]  # pyright: ignore[reportIndexIssue]
-
-        # convert definitions
-        for name, definition in swagger["definitions"].items():
-            openapi["components"]["schemas"][name] = definition  # pyright: ignore[reportIndexIssue, reportArgumentType]
-
-        return openapi
-
-    @staticmethod
-    def parse_openai_plugin_json_to_tool_bundle(
-        json: str, extra_info: dict | None = None, warning: dict | None = None
-    ) -> list[ApiToolBundle]:
-        """
-        parse openapi plugin yaml to tool bundle
-
-        :param json: the json string
-        :param extra_info: the extra info
-        :param warning: the warning message
-        :return: the tool bundle
-        """
-        warning = warning if warning is not None else {}
-        extra_info = extra_info if extra_info is not None else {}
-
-        try:
-            openai_plugin = json_loads(json)
-            api = openai_plugin["api"]
-            api_url = api["url"]
-            api_type = api["type"]
-        except JSONDecodeError:
-            raise ToolProviderNotFoundError("Invalid openai plugin json.")
-
-        if api_type != "openapi":
-            raise ToolNotSupportedError("Only openapi is supported now.")
-
-        # get openapi yaml
-        response = get(api_url, headers={"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) "}, timeout=5)
-
-        if response.status_code != 200:
-            raise ToolProviderNotFoundError("cannot get openapi yaml from url.")
-
-        return ApiBasedToolSchemaParser.parse_openapi_yaml_to_tool_bundle(
-            response.text, extra_info=extra_info, warning=warning
-        )
-
-    @staticmethod
-    def auto_parse_to_tool_bundle(
-        content: str, extra_info: dict | None = None, warning: dict | None = None
-    ) -> tuple[list[ApiToolBundle], str]:
-        """
-        auto parse to tool bundle
-
-        :param content: the content
-        :param extra_info: the extra info
-        :param warning: the warning message
-        :return: tools bundle, schema_type
-        """
-        warning = warning if warning is not None else {}
-        extra_info = extra_info if extra_info is not None else {}
-
-        content = content.strip()
-        loaded_content = None
-        json_error = None
-        yaml_error = None
-
-        try:
-            loaded_content = json_loads(content)
-        except JSONDecodeError as e:
-            json_error = e
-
-        if loaded_content is None:
-            try:
-                loaded_content = safe_load(content)
-            except YAMLError as e:
-                yaml_error = e
-        if loaded_content is None:
-            raise ToolApiSchemaError(
-                f"Invalid api schema, schema is neither json nor yaml. json error: {str(json_error)},"
-                f" yaml error: {str(yaml_error)}"
-            )
-
-        swagger_error = None
-        openapi_error = None
-        openapi_plugin_error = None
-        schema_type = None
-
-        try:
-            openapi = ApiBasedToolSchemaParser.parse_openapi_to_tool_bundle(
-                loaded_content, extra_info=extra_info, warning=warning
-            )
-            schema_type = ApiProviderSchemaType.OPENAPI.value
-            return openapi, schema_type
-        except ToolApiSchemaError as e:
-            openapi_error = e
-
-        # openai parse error, fallback to swagger
-        try:
-            converted_swagger = ApiBasedToolSchemaParser.parse_swagger_to_openapi(
-                loaded_content, extra_info=extra_info, warning=warning
-            )
-            schema_type = ApiProviderSchemaType.SWAGGER.value
-            return ApiBasedToolSchemaParser.parse_openapi_to_tool_bundle(
-                converted_swagger, extra_info=extra_info, warning=warning
-            ), schema_type
-        except ToolApiSchemaError as e:
-            swagger_error = e
-
-        # swagger parse error, fallback to openai plugin
-        try:
-            openapi_plugin = ApiBasedToolSchemaParser.parse_openai_plugin_json_to_tool_bundle(
-                json_dumps(loaded_content), extra_info=extra_info, warning=warning
-            )
-            return openapi_plugin, ApiProviderSchemaType.OPENAI_PLUGIN.value
-        except ToolNotSupportedError as e:
-            # maybe it's not plugin at all
-            openapi_plugin_error = e
-
-        raise ToolApiSchemaError(
-            f"Invalid api schema, openapi error: {str(openapi_error)}, swagger error: {str(swagger_error)},"
-            f" openapi plugin error: {str(openapi_plugin_error)}"
-        )

api/core/datasource/utils/text_processing_utils.py

@@ -1,17 +0,0 @@
-import re
-
-
-def remove_leading_symbols(text: str) -> str:
-    """
-    Remove leading punctuation or symbols from the given text.
-
-    Args:
-        text (str): The input text to process.
-
-    Returns:
-        str: The text with leading punctuation or symbols removed.
-    """
-    # Match Unicode ranges for punctuation and symbols
-    # FIXME this pattern is confused quick fix for #11868 maybe refactor it later
-    pattern = r"^[\u2000-\u206F\u2E00-\u2E7F\u3000-\u303F!\"#$%&'()*+,./:;<=>?@^_`~]+"
-    return re.sub(pattern, "", text)

api/core/datasource/utils/uuid_utils.py

@@ -1,9 +0,0 @@
-import uuid
-
-
-def is_valid_uuid(uuid_str: str) -> bool:
-    try:
-        uuid.UUID(uuid_str)
-        return True
-    except Exception:
-        return False

api/core/datasource/utils/workflow_configuration_sync.py

@@ -1,43 +0,0 @@
-from collections.abc import Mapping, Sequence
-from typing import Any
-
-from core.app.app_config.entities import VariableEntity
-from core.tools.entities.tool_entities import WorkflowToolParameterConfiguration
-
-
-class WorkflowToolConfigurationUtils:
-    @classmethod
-    def check_parameter_configurations(cls, configurations: list[Mapping[str, Any]]):
-        for configuration in configurations:
-            WorkflowToolParameterConfiguration.model_validate(configuration)
-
-    @classmethod
-    def get_workflow_graph_variables(cls, graph: Mapping[str, Any]) -> Sequence[VariableEntity]:
-        """
-        get workflow graph variables
-        """
-        nodes = graph.get("nodes", [])
-        start_node = next(filter(lambda x: x.get("data", {}).get("type") == "start", nodes), None)
-
-        if not start_node:
-            return []
-
-        return [VariableEntity.model_validate(variable) for variable in start_node.get("data", {}).get("variables", [])]
-
-    @classmethod
-    def check_is_synced(
-        cls, variables: list[VariableEntity], tool_configurations: list[WorkflowToolParameterConfiguration]
-    ):
-        """
-        check is synced
-
-        raise ValueError if not synced
-        """
-        variable_names = [variable.variable for variable in variables]
-
-        if len(tool_configurations) != len(variables):
-            raise ValueError("parameter configuration mismatch, please republish the tool to update")
-
-        for parameter in tool_configurations:
-            if parameter.name not in variable_names:
-                raise ValueError("parameter configuration mismatch, please republish the tool to update")

api/core/datasource/utils/yaml_utils.py

@@ -1,35 +0,0 @@
-import logging
-from pathlib import Path
-from typing import Any
-
-import yaml  # type: ignore
-from yaml import YAMLError
-
-logger = logging.getLogger(__name__)
-
-
-def load_yaml_file(file_path: str, ignore_error: bool = True, default_value: Any = {}) -> Any:
-    """
-    Safe loading a YAML file
-    :param file_path: the path of the YAML file
-    :param ignore_error:
-        if True, return default_value if error occurs and the error will be logged in debug level
-        if False, raise error if error occurs
-    :param default_value: the value returned when errors ignored
-    :return: an object of the YAML content
-    """
-    if not file_path or not Path(file_path).exists():
-        if ignore_error:
-            return default_value
-        else:
-            raise FileNotFoundError(f"File not found: {file_path}")
-
-    with open(file_path, encoding="utf-8") as yaml_file:
-        try:
-            yaml_content = yaml.safe_load(yaml_file)
-            return yaml_content or default_value
-        except Exception as e:
-            if ignore_error:
-                return default_value
-            else:
-                raise YAMLError(f"Failed to load YAML file {file_path}: {e}") from e

api/core/entities/provider_configuration.py

@@ -205,16 +205,10 @@ class ProviderConfiguration(BaseModel):
         """
         Get custom provider record.
         """
-        # get provider
-        model_provider_id = ModelProviderID(self.provider.provider)
-        provider_names = [self.provider.provider]
-        if model_provider_id.is_langgenius():
-            provider_names.append(model_provider_id.provider_name)
-
         stmt = select(Provider).where(
             Provider.tenant_id == self.tenant_id,
             Provider.provider_type == ProviderType.CUSTOM.value,
-            Provider.provider_name.in_(provider_names),
+            Provider.provider_name.in_(self._get_provider_names()),
         )
 
         return session.execute(stmt).scalar_one_or_none()
@@ -276,7 +270,7 @@ class ProviderConfiguration(BaseModel):
         """
         stmt = select(ProviderCredential.id).where(
             ProviderCredential.tenant_id == self.tenant_id,
-            ProviderCredential.provider_name == self.provider.provider,
+            ProviderCredential.provider_name.in_(self._get_provider_names()),
             ProviderCredential.credential_name == credential_name,
         )
         if exclude_id:
@@ -324,7 +318,7 @@ class ProviderConfiguration(BaseModel):
                 try:
                     stmt = select(ProviderCredential).where(
                         ProviderCredential.tenant_id == self.tenant_id,
-                        ProviderCredential.provider_name == self.provider.provider,
+                        ProviderCredential.provider_name.in_(self._get_provider_names()),
                         ProviderCredential.id == credential_id,
                     )
                     credential_record = s.execute(stmt).scalar_one_or_none()
@@ -374,7 +368,7 @@ class ProviderConfiguration(BaseModel):
             session=session,
             query_factory=lambda: select(ProviderCredential).where(
                 ProviderCredential.tenant_id == self.tenant_id,
-                ProviderCredential.provider_name == self.provider.provider,
+                ProviderCredential.provider_name.in_(self._get_provider_names()),
             ),
         )
 
@@ -387,7 +381,7 @@ class ProviderConfiguration(BaseModel):
             session=session,
             query_factory=lambda: select(ProviderModelCredential).where(
                 ProviderModelCredential.tenant_id == self.tenant_id,
-                ProviderModelCredential.provider_name == self.provider.provider,
+                ProviderModelCredential.provider_name.in_(self._get_provider_names()),
                 ProviderModelCredential.model_name == model,
                 ProviderModelCredential.model_type == model_type.to_origin_model_type(),
             ),
@@ -423,6 +417,16 @@ class ProviderConfiguration(BaseModel):
             logger.warning("Error generating next credential name: %s", str(e))
             return "API KEY 1"
 
+    def _get_provider_names(self):
+        """
+        The provider name might be stored in the database as either `openai` or `langgenius/openai/openai`.
+        """
+        model_provider_id = ModelProviderID(self.provider.provider)
+        provider_names = [self.provider.provider]
+        if model_provider_id.is_langgenius():
+            provider_names.append(model_provider_id.provider_name)
+        return provider_names
+
     def create_provider_credential(self, credentials: dict, credential_name: str | None):
         """
         Add custom provider credentials.
@@ -501,7 +505,7 @@ class ProviderConfiguration(BaseModel):
             stmt = select(ProviderCredential).where(
                 ProviderCredential.id == credential_id,
                 ProviderCredential.tenant_id == self.tenant_id,
-                ProviderCredential.provider_name == self.provider.provider,
+                ProviderCredential.provider_name.in_(self._get_provider_names()),
             )
 
             # Get the credential record to update
@@ -554,7 +558,7 @@ class ProviderConfiguration(BaseModel):
         # Find all load balancing configs that use this credential_id
         stmt = select(LoadBalancingModelConfig).where(
             LoadBalancingModelConfig.tenant_id == self.tenant_id,
-            LoadBalancingModelConfig.provider_name == self.provider.provider,
+            LoadBalancingModelConfig.provider_name.in_(self._get_provider_names()),
             LoadBalancingModelConfig.credential_id == credential_id,
             LoadBalancingModelConfig.credential_source_type == credential_source,
         )
@@ -591,7 +595,7 @@ class ProviderConfiguration(BaseModel):
             stmt = select(ProviderCredential).where(
                 ProviderCredential.id == credential_id,
                 ProviderCredential.tenant_id == self.tenant_id,
-                ProviderCredential.provider_name == self.provider.provider,
+                ProviderCredential.provider_name.in_(self._get_provider_names()),
             )
 
             # Get the credential record to update
@@ -602,7 +606,7 @@ class ProviderConfiguration(BaseModel):
             # Check if this credential is used in load balancing configs
             lb_stmt = select(LoadBalancingModelConfig).where(
                 LoadBalancingModelConfig.tenant_id == self.tenant_id,
-                LoadBalancingModelConfig.provider_name == self.provider.provider,
+                LoadBalancingModelConfig.provider_name.in_(self._get_provider_names()),
                 LoadBalancingModelConfig.credential_id == credential_id,
                 LoadBalancingModelConfig.credential_source_type == "provider",
             )
@@ -624,7 +628,7 @@ class ProviderConfiguration(BaseModel):
                 # if this is the last credential, we need to delete the provider record
                 count_stmt = select(func.count(ProviderCredential.id)).where(
                     ProviderCredential.tenant_id == self.tenant_id,
-                    ProviderCredential.provider_name == self.provider.provider,
+                    ProviderCredential.provider_name.in_(self._get_provider_names()),
                 )
                 available_credentials_count = session.execute(count_stmt).scalar() or 0
                 session.delete(credential_record)
@@ -668,7 +672,7 @@ class ProviderConfiguration(BaseModel):
             stmt = select(ProviderCredential).where(
                 ProviderCredential.id == credential_id,
                 ProviderCredential.tenant_id == self.tenant_id,
-                ProviderCredential.provider_name == self.provider.provider,
+                ProviderCredential.provider_name.in_(self._get_provider_names()),
             )
             credential_record = session.execute(stmt).scalar_one_or_none()
             if not credential_record:
@@ -737,7 +741,7 @@ class ProviderConfiguration(BaseModel):
             stmt = select(ProviderModelCredential).where(
                 ProviderModelCredential.id == credential_id,
                 ProviderModelCredential.tenant_id == self.tenant_id,
-                ProviderModelCredential.provider_name == self.provider.provider,
+                ProviderModelCredential.provider_name.in_(self._get_provider_names()),
                 ProviderModelCredential.model_name == model,
                 ProviderModelCredential.model_type == model_type.to_origin_model_type(),
             )
@@ -784,7 +788,7 @@ class ProviderConfiguration(BaseModel):
         """
         stmt = select(ProviderModelCredential).where(
             ProviderModelCredential.tenant_id == self.tenant_id,
-            ProviderModelCredential.provider_name == self.provider.provider,
+            ProviderModelCredential.provider_name.in_(self._get_provider_names()),
             ProviderModelCredential.model_name == model,
             ProviderModelCredential.model_type == model_type.to_origin_model_type(),
             ProviderModelCredential.credential_name == credential_name,
@@ -860,7 +864,7 @@ class ProviderConfiguration(BaseModel):
                     stmt = select(ProviderModelCredential).where(
                         ProviderModelCredential.id == credential_id,
                         ProviderModelCredential.tenant_id == self.tenant_id,
-                        ProviderModelCredential.provider_name == self.provider.provider,
+                        ProviderModelCredential.provider_name.in_(self._get_provider_names()),
                         ProviderModelCredential.model_name == model,
                         ProviderModelCredential.model_type == model_type.to_origin_model_type(),
                     )
@@ -997,7 +1001,7 @@ class ProviderConfiguration(BaseModel):
             stmt = select(ProviderModelCredential).where(
                 ProviderModelCredential.id == credential_id,
                 ProviderModelCredential.tenant_id == self.tenant_id,
-                ProviderModelCredential.provider_name == self.provider.provider,
+                ProviderModelCredential.provider_name.in_(self._get_provider_names()),
                 ProviderModelCredential.model_name == model,
                 ProviderModelCredential.model_type == model_type.to_origin_model_type(),
             )
@@ -1042,7 +1046,7 @@ class ProviderConfiguration(BaseModel):
             stmt = select(ProviderModelCredential).where(
                 ProviderModelCredential.id == credential_id,
                 ProviderModelCredential.tenant_id == self.tenant_id,
-                ProviderModelCredential.provider_name == self.provider.provider,
+                ProviderModelCredential.provider_name.in_(self._get_provider_names()),
                 ProviderModelCredential.model_name == model,
                 ProviderModelCredential.model_type == model_type.to_origin_model_type(),
             )
@@ -1052,7 +1056,7 @@ class ProviderConfiguration(BaseModel):
 
             lb_stmt = select(LoadBalancingModelConfig).where(
                 LoadBalancingModelConfig.tenant_id == self.tenant_id,
-                LoadBalancingModelConfig.provider_name == self.provider.provider,
+                LoadBalancingModelConfig.provider_name.in_(self._get_provider_names()),
                 LoadBalancingModelConfig.credential_id == credential_id,
                 LoadBalancingModelConfig.credential_source_type == "custom_model",
             )
@@ -1075,7 +1079,7 @@ class ProviderConfiguration(BaseModel):
                 # if this is the last credential, we need to delete the custom model record
                 count_stmt = select(func.count(ProviderModelCredential.id)).where(
                     ProviderModelCredential.tenant_id == self.tenant_id,
-                    ProviderModelCredential.provider_name == self.provider.provider,
+                    ProviderModelCredential.provider_name.in_(self._get_provider_names()),
                     ProviderModelCredential.model_name == model,
                     ProviderModelCredential.model_type == model_type.to_origin_model_type(),
                 )
@@ -1115,7 +1119,7 @@ class ProviderConfiguration(BaseModel):
             stmt = select(ProviderModelCredential).where(
                 ProviderModelCredential.id == credential_id,
                 ProviderModelCredential.tenant_id == self.tenant_id,
-                ProviderModelCredential.provider_name == self.provider.provider,
+                ProviderModelCredential.provider_name.in_(self._get_provider_names()),
                 ProviderModelCredential.model_name == model,
                 ProviderModelCredential.model_type == model_type.to_origin_model_type(),
             )
@@ -1157,7 +1161,7 @@ class ProviderConfiguration(BaseModel):
             stmt = select(ProviderModelCredential).where(
                 ProviderModelCredential.id == credential_id,
                 ProviderModelCredential.tenant_id == self.tenant_id,
-                ProviderModelCredential.provider_name == self.provider.provider,
+                ProviderModelCredential.provider_name.in_(self._get_provider_names()),
                 ProviderModelCredential.model_name == model,
                 ProviderModelCredential.model_type == model_type.to_origin_model_type(),
             )
@@ -1204,15 +1208,9 @@ class ProviderConfiguration(BaseModel):
         """
         Get provider model setting.
         """
-
-        model_provider_id = ModelProviderID(self.provider.provider)
-        provider_names = [self.provider.provider]
-        if model_provider_id.is_langgenius():
-            provider_names.append(model_provider_id.provider_name)
-
         stmt = select(ProviderModelSetting).where(
             ProviderModelSetting.tenant_id == self.tenant_id,
-            ProviderModelSetting.provider_name.in_(provider_names),
+            ProviderModelSetting.provider_name.in_(self._get_provider_names()),
             ProviderModelSetting.model_type == model_type.to_origin_model_type(),
             ProviderModelSetting.model_name == model,
         )
@@ -1384,15 +1382,9 @@ class ProviderConfiguration(BaseModel):
             return
 
         def _switch(s: Session):
-            # get preferred provider
-            model_provider_id = ModelProviderID(self.provider.provider)
-            provider_names = [self.provider.provider]
-            if model_provider_id.is_langgenius():
-                provider_names.append(model_provider_id.provider_name)
-
             stmt = select(TenantPreferredModelProvider).where(
                 TenantPreferredModelProvider.tenant_id == self.tenant_id,
-                TenantPreferredModelProvider.provider_name.in_(provider_names),
+                TenantPreferredModelProvider.provider_name.in_(self._get_provider_names()),
             )
             preferred_model_provider = s.execute(stmt).scalars().first()
 

api/core/ops/aliyun_trace/data_exporter/traceclient.py

@@ -8,7 +8,7 @@ from collections import deque
 from collections.abc import Sequence
 from datetime import datetime
 
-import requests
+import httpx
 from opentelemetry import trace as trace_api
 from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
 from opentelemetry.sdk.resources import Resource
@@ -65,13 +65,13 @@ class TraceClient:
 
     def api_check(self):
         try:
-            response = requests.head(self.endpoint, timeout=5)
+            response = httpx.head(self.endpoint, timeout=5)
             if response.status_code == 405:
                 return True
             else:
                 logger.debug("AliyunTrace API check failed: Unexpected status code: %s", response.status_code)
                 return False
-        except requests.RequestException as e:
+        except httpx.RequestError as e:
             logger.debug("AliyunTrace API check failed: %s", str(e))
             raise ValueError(f"AliyunTrace API check failed: {str(e)}")
 

api/core/ops/weave_trace/weave_trace.py

@@ -417,7 +417,7 @@ class WeaveDataTrace(BaseTraceInstance):
             if not login_status:
                 raise ValueError("Weave login failed")
             else:
-                print("Weave login successful")
+                logger.info("Weave login successful")
                 return True
         except Exception as e:
             logger.debug("Weave API check failed: %s", str(e))

api/core/provider_manager.py

@@ -513,6 +513,21 @@ class ProviderManager:
 
         return provider_name_to_provider_load_balancing_model_configs_dict
 
+    @staticmethod
+    def _get_provider_names(provider_name: str) -> list[str]:
+        """
+        provider_name: `openai` or `langgenius/openai/openai`
+        return: [`openai`, `langgenius/openai/openai`]
+        """
+        provider_names = [provider_name]
+        model_provider_id = ModelProviderID(provider_name)
+        if model_provider_id.is_langgenius():
+            if "/" in provider_name:
+                provider_names.append(model_provider_id.provider_name)
+            else:
+                provider_names.append(str(model_provider_id))
+        return provider_names
+
     @staticmethod
     def get_provider_available_credentials(tenant_id: str, provider_name: str) -> list[CredentialConfiguration]:
         """
@@ -525,7 +540,10 @@ class ProviderManager:
         with Session(db.engine, expire_on_commit=False) as session:
             stmt = (
                 select(ProviderCredential)
-                .where(ProviderCredential.tenant_id == tenant_id, ProviderCredential.provider_name == provider_name)
+                .where(
+                    ProviderCredential.tenant_id == tenant_id,
+                    ProviderCredential.provider_name.in_(ProviderManager._get_provider_names(provider_name)),
+                )
                 .order_by(ProviderCredential.created_at.desc())
             )
 
@@ -554,7 +572,7 @@ class ProviderManager:
                 select(ProviderModelCredential)
                 .where(
                     ProviderModelCredential.tenant_id == tenant_id,
-                    ProviderModelCredential.provider_name == provider_name,
+                    ProviderModelCredential.provider_name.in_(ProviderManager._get_provider_names(provider_name)),
                     ProviderModelCredential.model_name == model_name,
                     ProviderModelCredential.model_type == model_type,
                 )

api/core/rag/datasource/vdb/baidu/baidu_vector.py

@@ -1,4 +1,5 @@
 import json
+import logging
 import time
 import uuid
 from typing import Any
@@ -9,11 +10,24 @@ from pymochow import MochowClient  # type: ignore
 from pymochow.auth.bce_credentials import BceCredentials  # type: ignore
 from pymochow.configuration import Configuration  # type: ignore
 from pymochow.exception import ServerError  # type: ignore
+from pymochow.model.database import Database
 from pymochow.model.enum import FieldType, IndexState, IndexType, MetricType, ServerErrCode, TableState  # type: ignore
-from pymochow.model.schema import Field, HNSWParams, Schema, VectorIndex  # type: ignore
-from pymochow.model.table import AnnSearch, HNSWSearchParams, Partition, Row  # type: ignore
+from pymochow.model.schema import (
+    Field,
+    FilteringIndex,
+    HNSWParams,
+    InvertedIndex,
+    InvertedIndexAnalyzer,
+    InvertedIndexFieldAttribute,
+    InvertedIndexParams,
+    InvertedIndexParseMode,
+    Schema,
+    VectorIndex,
+)  # type: ignore
+from pymochow.model.table import AnnSearch, BM25SearchRequest, HNSWSearchParams, Partition, Row  # type: ignore
 
 from configs import dify_config
+from core.rag.datasource.vdb.field import Field as VDBField
 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
@@ -22,6 +36,8 @@ from core.rag.models.document import Document
 from extensions.ext_redis import redis_client
 from models.dataset import Dataset
 
+logger = logging.getLogger(__name__)
+
 
 class BaiduConfig(BaseModel):
     endpoint: str
@@ -30,9 +46,11 @@ class BaiduConfig(BaseModel):
     api_key: str
     database: str
     index_type: str = "HNSW"
-    metric_type: str = "L2"
+    metric_type: str = "IP"
     shard: int = 1
     replicas: int = 3
+    inverted_index_analyzer: str = "DEFAULT_ANALYZER"
+    inverted_index_parser_mode: str = "COARSE_MODE"
 
     @model_validator(mode="before")
     @classmethod
@@ -49,13 +67,9 @@ class BaiduConfig(BaseModel):
 
 
 class BaiduVector(BaseVector):
-    field_id: str = "id"
-    field_vector: str = "vector"
-    field_text: str = "text"
-    field_metadata: str = "metadata"
-    field_app_id: str = "app_id"
-    field_annotation_id: str = "annotation_id"
-    index_vector: str = "vector_idx"
+    vector_index: str = "vector_idx"
+    filtering_index: str = "filtering_idx"
+    inverted_index: str = "content_inverted_idx"
 
     def __init__(self, collection_name: str, config: BaiduConfig):
         super().__init__(collection_name)
@@ -74,8 +88,6 @@ class BaiduVector(BaseVector):
         self.add_texts(texts, embeddings)
 
     def add_texts(self, documents: list[Document], embeddings: list[list[float]], **kwargs):
-        texts = [doc.page_content for doc in documents]
-        metadatas = [doc.metadata for doc in documents if doc.metadata is not None]
         total_count = len(documents)
         batch_size = 1000
 
@@ -84,29 +96,31 @@ class BaiduVector(BaseVector):
         for start in range(0, total_count, batch_size):
             end = min(start + batch_size, total_count)
             rows = []
-            assert len(metadatas) == total_count, "metadatas length should be equal to total_count"
             for i in range(start, end, 1):
+                metadata = documents[i].metadata
                 row = Row(
-                    id=metadatas[i].get("doc_id", str(uuid.uuid4())),
+                    id=metadata.get("doc_id", str(uuid.uuid4())),
+                    page_content=documents[i].page_content,
+                    metadata=metadata,
                     vector=embeddings[i],
-                    text=texts[i],
-                    metadata=json.dumps(metadatas[i]),
-                    app_id=metadatas[i].get("app_id", ""),
-                    annotation_id=metadatas[i].get("annotation_id", ""),
                 )
                 rows.append(row)
             table.upsert(rows=rows)
 
         # rebuild vector index after upsert finished
-        table.rebuild_index(self.index_vector)
+        table.rebuild_index(self.vector_index)
+        timeout = 3600  # 1 hour timeout
+        start_time = time.time()
         while True:
             time.sleep(1)
-            index = table.describe_index(self.index_vector)
+            index = table.describe_index(self.vector_index)
             if index.state == IndexState.NORMAL:
                 break
+            if time.time() - start_time > timeout:
+                raise TimeoutError(f"Index rebuild timeout after {timeout} seconds")
 
     def text_exists(self, id: str) -> bool:
-        res = self._db.table(self._collection_name).query(primary_key={self.field_id: id})
+        res = self._db.table(self._collection_name).query(primary_key={VDBField.PRIMARY_KEY: id})
         if res and res.code == 0:
             return True
         return False
@@ -115,53 +129,73 @@ class BaiduVector(BaseVector):
         if not ids:
             return
         quoted_ids = [f"'{id}'" for id in ids]
-        self._db.table(self._collection_name).delete(filter=f"id IN({', '.join(quoted_ids)})")
+        self._db.table(self._collection_name).delete(filter=f"{VDBField.PRIMARY_KEY} IN({', '.join(quoted_ids)})")
 
     def delete_by_metadata_field(self, key: str, value: str):
-        self._db.table(self._collection_name).delete(filter=f"{key} = '{value}'")
+        # Escape double quotes in value to prevent injection
+        escaped_value = value.replace('"', '\\"')
+        self._db.table(self._collection_name).delete(filter=f'metadata["{key}"] = "{escaped_value}"')
 
     def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]:
         query_vector = [float(val) if isinstance(val, np.float64) else val for val in query_vector]
         document_ids_filter = kwargs.get("document_ids_filter")
+        filter = ""
         if document_ids_filter:
             document_ids = ", ".join(f"'{id}'" for id in document_ids_filter)
-            anns = AnnSearch(
-                vector_field=self.field_vector,
-                vector_floats=query_vector,
-                params=HNSWSearchParams(ef=kwargs.get("ef", 10), limit=kwargs.get("top_k", 4)),
-                filter=f"document_id IN ({document_ids})",
-            )
-        else:
-            anns = AnnSearch(
-                vector_field=self.field_vector,
-                vector_floats=query_vector,
-                params=HNSWSearchParams(ef=kwargs.get("ef", 10), limit=kwargs.get("top_k", 4)),
-            )
+            filter = f'metadata["document_id"] IN({document_ids})'
+        anns = AnnSearch(
+            vector_field=VDBField.VECTOR,
+            vector_floats=query_vector,
+            params=HNSWSearchParams(ef=kwargs.get("ef", 20), limit=kwargs.get("top_k", 4)),
+            filter=filter,
+        )
         res = self._db.table(self._collection_name).search(
             anns=anns,
-            projections=[self.field_id, self.field_text, self.field_metadata],
-            retrieve_vector=True,
+            projections=[VDBField.CONTENT_KEY, VDBField.METADATA_KEY],
+            retrieve_vector=False,
         )
         score_threshold = float(kwargs.get("score_threshold") or 0.0)
         return self._get_search_res(res, score_threshold)
 
     def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]:
-        # baidu vector database doesn't support bm25 search on current version
-        return []
+        # document ids filter
+        document_ids_filter = kwargs.get("document_ids_filter")
+        filter = ""
+        if document_ids_filter:
+            document_ids = ", ".join(f"'{id}'" for id in document_ids_filter)
+            filter = f'metadata["document_id"] IN({document_ids})'
+
+        request = BM25SearchRequest(
+            index_name=self.inverted_index, search_text=query, limit=kwargs.get("top_k", 4), filter=filter
+        )
+        res = self._db.table(self._collection_name).bm25_search(
+            request=request, projections=[VDBField.CONTENT_KEY, VDBField.METADATA_KEY]
+        )
+        score_threshold = float(kwargs.get("score_threshold") or 0.0)
+        return self._get_search_res(res, score_threshold)
 
     def _get_search_res(self, res, score_threshold) -> list[Document]:
         docs = []
         for row in res.rows:
             row_data = row.get("row", {})
-            meta = row_data.get(self.field_metadata)
-            if meta is not None:
-                meta = json.loads(meta)
             score = row.get("score", 0.0)
+            meta = row_data.get(VDBField.METADATA_KEY, {})
+
+            # Handle both JSON string and dict formats for backward compatibility
+            if isinstance(meta, str):
+                try:
+                    import json
+
+                    meta = json.loads(meta)
+                except (json.JSONDecodeError, TypeError):
+                    meta = {}
+            elif not isinstance(meta, dict):
+                meta = {}
+
             if score >= score_threshold:
                 meta["score"] = score
-                doc = Document(page_content=row_data.get(self.field_text), metadata=meta)
+                doc = Document(page_content=row_data.get(VDBField.CONTENT_KEY), metadata=meta)
                 docs.append(doc)
-
         return docs
 
     def delete(self):
@@ -178,7 +212,7 @@ class BaiduVector(BaseVector):
         client = MochowClient(config)
         return client
 
-    def _init_database(self):
+    def _init_database(self) -> Database:
         exists = False
         for db in self._client.list_databases():
             if db.database_name == self._client_config.database:
@@ -192,10 +226,10 @@ class BaiduVector(BaseVector):
                 self._client.create_database(database_name=self._client_config.database)
             except ServerError as e:
                 if e.code == ServerErrCode.DB_ALREADY_EXIST:
-                    pass
+                    return self._client.database(self._client_config.database)
                 else:
                     raise
-            return
+            return self._client.database(self._client_config.database)
 
     def _table_existed(self) -> bool:
         tables = self._db.list_table()
@@ -232,7 +266,7 @@ class BaiduVector(BaseVector):
             fields = []
             fields.append(
                 Field(
-                    self.field_id,
+                    VDBField.PRIMARY_KEY,
                     FieldType.STRING,
                     primary_key=True,
                     partition_key=True,
@@ -240,24 +274,57 @@ class BaiduVector(BaseVector):
                     not_null=True,
                 )
             )
-            fields.append(Field(self.field_metadata, FieldType.STRING, not_null=True))
-            fields.append(Field(self.field_app_id, FieldType.STRING))
-            fields.append(Field(self.field_annotation_id, FieldType.STRING))
-            fields.append(Field(self.field_text, FieldType.TEXT, not_null=True))
-            fields.append(Field(self.field_vector, FieldType.FLOAT_VECTOR, not_null=True, dimension=dimension))
+            fields.append(Field(VDBField.CONTENT_KEY, FieldType.TEXT, not_null=False))
+            fields.append(Field(VDBField.METADATA_KEY, FieldType.JSON, not_null=False))
+            fields.append(Field(VDBField.VECTOR, FieldType.FLOAT_VECTOR, not_null=True, dimension=dimension))
 
             # Construct vector index params
             indexes = []
             indexes.append(
                 VectorIndex(
-                    index_name="vector_idx",
+                    index_name=self.vector_index,
                     index_type=index_type,
-                    field="vector",
+                    field=VDBField.VECTOR,
                     metric_type=metric_type,
                     params=HNSWParams(m=16, efconstruction=200),
                 )
             )
 
+            # Filtering index
+            indexes.append(
+                FilteringIndex(
+                    index_name=self.filtering_index,
+                    fields=[VDBField.METADATA_KEY],
+                )
+            )
+
+            # Get analyzer and parse_mode from config
+            analyzer = getattr(
+                InvertedIndexAnalyzer,
+                self._client_config.inverted_index_analyzer,
+                InvertedIndexAnalyzer.DEFAULT_ANALYZER,
+            )
+
+            parse_mode = getattr(
+                InvertedIndexParseMode,
+                self._client_config.inverted_index_parser_mode,
+                InvertedIndexParseMode.COARSE_MODE,
+            )
+
+            # Inverted index
+            indexes.append(
+                InvertedIndex(
+                    index_name=self.inverted_index,
+                    fields=[VDBField.CONTENT_KEY],
+                    params=InvertedIndexParams(
+                        analyzer=analyzer,
+                        parse_mode=parse_mode,
+                        case_sensitive=True,
+                    ),
+                    field_attributes=[InvertedIndexFieldAttribute.ANALYZED],
+                )
+            )
+
             # Create table
             self._db.create_table(
                 table_name=self._collection_name,
@@ -268,11 +335,15 @@ class BaiduVector(BaseVector):
             )
 
             # Wait for table created
+            timeout = 300  # 5 minutes timeout
+            start_time = time.time()
             while True:
                 time.sleep(1)
                 table = self._db.describe_table(self._collection_name)
                 if table.state == TableState.NORMAL:
                     break
+                if time.time() - start_time > timeout:
+                    raise TimeoutError(f"Table creation timeout after {timeout} seconds")
             redis_client.set(table_exist_cache_key, 1, ex=3600)
 
 
@@ -296,5 +367,7 @@ class BaiduVectorFactory(AbstractVectorFactory):
                 database=dify_config.BAIDU_VECTOR_DB_DATABASE or "",
                 shard=dify_config.BAIDU_VECTOR_DB_SHARD,
                 replicas=dify_config.BAIDU_VECTOR_DB_REPLICAS,
+                inverted_index_analyzer=dify_config.BAIDU_VECTOR_DB_INVERTED_INDEX_ANALYZER,
+                inverted_index_parser_mode=dify_config.BAIDU_VECTOR_DB_INVERTED_INDEX_PARSER_MODE,
             ),
         )

api/core/rag/datasource/vdb/oceanbase/oceanbase_vector.py

@@ -4,7 +4,7 @@ import math
 from typing import Any
 
 from pydantic import BaseModel, model_validator
-from pyobvector import VECTOR, FtsIndexParam, FtsParser, ObVecClient, l2_distance  # type: ignore
+from pyobvector import VECTOR, ObVecClient, l2_distance  # type: ignore
 from sqlalchemy import JSON, Column, String
 from sqlalchemy.dialects.mysql import LONGTEXT
 
@@ -117,22 +117,39 @@ class OceanBaseVector(BaseVector):
                 columns=cols,
                 vidxs=vidx_params,
             )
-            try:
-                if self._hybrid_search_enabled:
-                    self._client.create_fts_idx_with_fts_index_param(
-                        table_name=self._collection_name,
-                        fts_idx_param=FtsIndexParam(
-                            index_name="fulltext_index_for_col_text",
-                            field_names=["text"],
-                            parser_type=FtsParser.IK,
-                        ),
+            logger.debug("DEBUG: Table '%s' created successfully", self._collection_name)
+
+            if self._hybrid_search_enabled:
+                # Get parser from config or use default ik parser
+                parser_name = dify_config.OCEANBASE_FULLTEXT_PARSER or "ik"
+
+                allowed_parsers = ["ik", "japanese_ftparser", "thai_ftparser"]
+                if parser_name not in allowed_parsers:
+                    raise ValueError(
+                        f"Invalid OceanBase full-text parser: {parser_name}. "
+                        f"Allowed values are: {', '.join(allowed_parsers)}"
                     )
-            except Exception as e:
-                raise Exception(
-                    "Failed to add fulltext index to the target table, your OceanBase version must be 4.3.5.1 or above "
-                    + "to support fulltext index and vector index in the same table",
-                    e,
+                logger.debug("Hybrid search is enabled, parser_name='%s'", parser_name)
+                logger.debug(
+                    "About to create fulltext index for collection '%s' using parser '%s'",
+                    self._collection_name,
+                    parser_name,
                 )
+                try:
+                    sql_command = f"""ALTER TABLE {self._collection_name}
+                    ADD FULLTEXT INDEX fulltext_index_for_col_text (text) WITH PARSER {parser_name}"""
+                    logger.debug("DEBUG: Executing SQL: %s", sql_command)
+                    self._client.perform_raw_text_sql(sql_command)
+                    logger.debug("DEBUG: Fulltext index created successfully for '%s'", self._collection_name)
+                except Exception as e:
+                    logger.exception("Exception occurred while creating fulltext index")
+                    raise Exception(
+                        "Failed to add fulltext index to the target table, your OceanBase version must be "
+                        "4.3.5.1 or above to support fulltext index and vector index in the same table"
+                    ) from e
+            else:
+                logger.debug("DEBUG: Hybrid search is NOT enabled for '%s'", self._collection_name)
+
             self._client.refresh_metadata([self._collection_name])
             redis_client.set(collection_exist_cache_key, 1, ex=3600)
 
@@ -229,7 +246,7 @@ class OceanBaseVector(BaseVector):
                         try:
                             metadata = json.loads(metadata_str)
                         except json.JSONDecodeError:
-                            print(f"Invalid JSON metadata: {metadata_str}")
+                            logger.warning("Invalid JSON metadata: %s", metadata_str)
                             metadata = {}
                         metadata["score"] = score
                         docs.append(Document(page_content=_text, metadata=metadata))

api/core/rag/datasource/vdb/oracle/oraclevector.py

@@ -1,5 +1,6 @@
 import array
 import json
+import logging
 import re
 import uuid
 from typing import Any
@@ -19,6 +20,8 @@ from core.rag.models.document import Document
 from extensions.ext_redis import redis_client
 from models.dataset import Dataset
 
+logger = logging.getLogger(__name__)
+
 oracledb.defaults.fetch_lobs = False
 
 
@@ -180,8 +183,8 @@ class OracleVector(BaseVector):
                             value,
                         )
                         conn.commit()
-                    except Exception as e:
-                        print(e)
+                    except Exception:
+                        logger.exception("Failed to insert record %s into %s", value[0], self.table_name)
             conn.close()
         return pks
 

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

@@ -1,4 +1,5 @@
 import json
+import logging
 import uuid
 from typing import Any
 
@@ -23,6 +24,8 @@ from core.rag.datasource.vdb.vector_base import BaseVector
 from core.rag.models.document import Document
 from extensions.ext_redis import redis_client
 
+logger = logging.getLogger(__name__)
+
 Base = declarative_base()  # type: Any
 
 
@@ -187,8 +190,8 @@ class RelytVector(BaseVector):
                 delete_condition = chunks_table.c.id.in_(ids)
                 conn.execute(chunks_table.delete().where(delete_condition))
                 return True
-        except Exception as e:
-            print("Delete operation failed:", str(e))
+        except Exception:
+            logger.exception("Delete operation failed for collection %s", self._collection_name)
             return False
 
     def delete_by_metadata_field(self, key: str, value: str):

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

@@ -164,8 +164,8 @@ class TiDBVector(BaseVector):
                 delete_condition = table.c.id.in_(ids)
                 conn.execute(table.delete().where(delete_condition))
                 return True
-        except Exception as e:
-            print("Delete operation failed:", str(e))
+        except Exception:
+            logger.exception("Delete operation failed for collection %s", self._collection_name)
             return False
 
     def get_ids_by_metadata_field(self, key: str, value: str):

api/core/repositories/sqlalchemy_workflow_node_execution_repository.py

@@ -417,12 +417,10 @@ class SQLAlchemyWorkflowNodeExecutionRepository(WorkflowNodeExecutionRepository)
 
         if db_model is not None:
             offload_data = db_model.offload_data
-
         else:
             db_model = self._to_db_model(domain_model)
-            offload_data = []
+            offload_data = db_model.offload_data
 
-        offload_data = db_model.offload_data
         if domain_model.inputs is not None:
             result = self._truncate_and_upload(
                 domain_model.inputs,

api/core/schemas/registry.py

@@ -1,4 +1,5 @@
 import json
+import logging
 import threading
 from collections.abc import Mapping, MutableMapping
 from pathlib import Path
@@ -8,6 +9,8 @@ from typing import Any, ClassVar, Optional
 class SchemaRegistry:
     """Schema registry manages JSON schemas with version support"""
 
+    logger: ClassVar[logging.Logger] = logging.getLogger(__name__)
+
     _default_instance: ClassVar[Optional["SchemaRegistry"]] = None
     _lock: ClassVar[threading.Lock] = threading.Lock()
 
@@ -83,7 +86,7 @@ class SchemaRegistry:
             self.metadata[uri] = metadata
 
         except (OSError, json.JSONDecodeError) as e:
-            print(f"Warning: failed to load schema {version}/{schema_name}: {e}")
+            self.logger.warning("Failed to load schema %s/%s: %s", version, schema_name, e)
 
     def get_schema(self, uri: str) -> Any | None:
         """Retrieves a schema by URI with version support"""

api/core/tools/custom_tool/tool.py

@@ -396,6 +396,10 @@ class ApiTool(Tool):
         # assemble invoke message based on response type
         if parsed_response.is_json and isinstance(parsed_response.content, dict):
             yield self.create_json_message(parsed_response.content)
+
+            # FIXES: https://github.com/langgenius/dify/pull/23456#issuecomment-3182413088
+            # We need never break the original flows
+            yield self.create_text_message(response.text)
         else:
             # Convert to string if needed and create text message
             text_response = (

api/core/workflow/graph_engine/domain/graph_execution.py

@@ -41,7 +41,8 @@ class GraphExecutionState(BaseModel):
     completed: bool = Field(default=False)
     aborted: bool = Field(default=False)
     error: GraphExecutionErrorState | None = Field(default=None)
-    node_executions: list[NodeExecutionState] = Field(default_factory=list)
+    exceptions_count: int = Field(default=0)
+    node_executions: list[NodeExecutionState] = Field(default_factory=list[NodeExecutionState])
 
 
 def _serialize_error(error: Exception | None) -> GraphExecutionErrorState | None:
@@ -103,7 +104,8 @@ class GraphExecution:
     completed: bool = False
     aborted: bool = False
     error: Exception | None = None
-    node_executions: dict[str, NodeExecution] = field(default_factory=dict)
+    node_executions: dict[str, NodeExecution] = field(default_factory=dict[str, NodeExecution])
+    exceptions_count: int = 0
 
     def start(self) -> None:
         """Mark the graph execution as started."""
@@ -172,6 +174,7 @@ class GraphExecution:
             completed=self.completed,
             aborted=self.aborted,
             error=_serialize_error(self.error),
+            exceptions_count=self.exceptions_count,
             node_executions=node_states,
         )
 
@@ -195,6 +198,7 @@ class GraphExecution:
         self.completed = state.completed
         self.aborted = state.aborted
         self.error = _deserialize_error(state.error)
+        self.exceptions_count = state.exceptions_count
         self.node_executions = {
             item.node_id: NodeExecution(
                 node_id=item.node_id,
@@ -205,3 +209,7 @@ class GraphExecution:
             )
             for item in state.node_executions
         }
+
+    def record_node_failure(self) -> None:
+        """Increment the count of node failures encountered during execution."""
+        self.exceptions_count += 1

api/core/workflow/graph_engine/event_management/event_handlers.py

@@ -3,11 +3,12 @@ Event handler implementations for different event types.
 """
 
 import logging
+from collections.abc import Mapping
 from functools import singledispatchmethod
 from typing import TYPE_CHECKING, final
 
 from core.workflow.entities import GraphRuntimeState
-from core.workflow.enums import NodeExecutionType
+from core.workflow.enums import ErrorStrategy, NodeExecutionType
 from core.workflow.graph import Graph
 from core.workflow.graph_events import (
     GraphNodeEventBase,
@@ -122,13 +123,15 @@ class EventHandler:
         """
         # Track execution in domain model
         node_execution = self._graph_execution.get_or_create_node_execution(event.node_id)
+        is_initial_attempt = node_execution.retry_count == 0
         node_execution.mark_started(event.id)
 
         # Track in response coordinator for stream ordering
         self._response_coordinator.track_node_execution(event.node_id, event.id)
 
-        # Collect the event
-        self._event_collector.collect(event)
+        # Collect the event only for the first attempt; retries remain silent
+        if is_initial_attempt:
+            self._event_collector.collect(event)
 
     @_dispatch.register
     def _(self, event: NodeRunStreamChunkEvent) -> None:
@@ -161,7 +164,7 @@ class EventHandler:
         node_execution.mark_taken()
 
         # Store outputs in variable pool
-        self._store_node_outputs(event)
+        self._store_node_outputs(event.node_id, event.node_run_result.outputs)
 
         # Forward to response coordinator and emit streaming events
         streaming_events = self._response_coordinator.intercept_event(event)
@@ -191,7 +194,7 @@ class EventHandler:
 
         # Handle response node outputs
         if node.execution_type == NodeExecutionType.RESPONSE:
-            self._update_response_outputs(event)
+            self._update_response_outputs(event.node_run_result.outputs)
 
         # Collect the event
         self._event_collector.collect(event)
@@ -207,6 +210,7 @@ class EventHandler:
         # Update domain model
         node_execution = self._graph_execution.get_or_create_node_execution(event.node_id)
         node_execution.mark_failed(event.error)
+        self._graph_execution.record_node_failure()
 
         result = self._error_handler.handle_node_failure(event)
 
@@ -227,10 +231,40 @@ class EventHandler:
         Args:
             event: The node exception event
         """
-        # Node continues via fail-branch, so it's technically "succeeded"
+        # Node continues via fail-branch/default-value, treat as completion
         node_execution = self._graph_execution.get_or_create_node_execution(event.node_id)
         node_execution.mark_taken()
 
+        # Persist outputs produced by the exception strategy (e.g. default values)
+        self._store_node_outputs(event.node_id, event.node_run_result.outputs)
+
+        node = self._graph.nodes[event.node_id]
+
+        if node.error_strategy == ErrorStrategy.DEFAULT_VALUE:
+            ready_nodes, edge_streaming_events = self._edge_processor.process_node_success(event.node_id)
+        elif node.error_strategy == ErrorStrategy.FAIL_BRANCH:
+            ready_nodes, edge_streaming_events = self._edge_processor.handle_branch_completion(
+                event.node_id, event.node_run_result.edge_source_handle
+            )
+        else:
+            raise NotImplementedError(f"Unsupported error strategy: {node.error_strategy}")
+
+        for edge_event in edge_streaming_events:
+            self._event_collector.collect(edge_event)
+
+        for node_id in ready_nodes:
+            self._state_manager.enqueue_node(node_id)
+            self._state_manager.start_execution(node_id)
+
+        # Update response outputs if applicable
+        if node.execution_type == NodeExecutionType.RESPONSE:
+            self._update_response_outputs(event.node_run_result.outputs)
+
+        self._state_manager.finish_execution(event.node_id)
+
+        # Collect the exception event for observers
+        self._event_collector.collect(event)
+
     @_dispatch.register
     def _(self, event: NodeRunRetryEvent) -> None:
         """
@@ -242,21 +276,31 @@ class EventHandler:
         node_execution = self._graph_execution.get_or_create_node_execution(event.node_id)
         node_execution.increment_retry()
 
-    def _store_node_outputs(self, event: NodeRunSucceededEvent) -> None:
+        # Finish the previous attempt before re-queuing the node
+        self._state_manager.finish_execution(event.node_id)
+
+        # Emit retry event for observers
+        self._event_collector.collect(event)
+
+        # Re-queue node for execution
+        self._state_manager.enqueue_node(event.node_id)
+        self._state_manager.start_execution(event.node_id)
+
+    def _store_node_outputs(self, node_id: str, outputs: Mapping[str, object]) -> None:
         """
         Store node outputs in the variable pool.
 
         Args:
             event: The node succeeded event containing outputs
         """
-        for variable_name, variable_value in event.node_run_result.outputs.items():
-            self._graph_runtime_state.variable_pool.add((event.node_id, variable_name), variable_value)
+        for variable_name, variable_value in outputs.items():
+            self._graph_runtime_state.variable_pool.add((node_id, variable_name), variable_value)
 
-    def _update_response_outputs(self, event: NodeRunSucceededEvent) -> None:
+    def _update_response_outputs(self, outputs: Mapping[str, object]) -> None:
         """Update response outputs for response nodes."""
         # TODO: Design a mechanism for nodes to notify the engine about how to update outputs
         # in runtime state, rather than allowing nodes to directly access runtime state.
-        for key, value in event.node_run_result.outputs.items():
+        for key, value in outputs.items():
             if key == "answer":
                 existing = self._graph_runtime_state.get_output("answer", "")
                 if existing:

api/core/workflow/graph_engine/event_management/event_manager.py

@@ -5,6 +5,7 @@ Unified event manager for collecting and emitting events.
 import threading
 import time
 from collections.abc import Generator
+from contextlib import contextmanager
 from typing import final
 
 from core.workflow.graph_events import GraphEngineEvent
@@ -51,43 +52,23 @@ class ReadWriteLock:
         """Release a write lock."""
         self._read_ready.release()
 
-    def read_lock(self) -> "ReadLockContext":
+    @contextmanager
+    def read_lock(self):
         """Return a context manager for read locking."""
-        return ReadLockContext(self)
+        self.acquire_read()
+        try:
+            yield
+        finally:
+            self.release_read()
 
-    def write_lock(self) -> "WriteLockContext":
+    @contextmanager
+    def write_lock(self):
         """Return a context manager for write locking."""
-        return WriteLockContext(self)
-
-
-@final
-class ReadLockContext:
-    """Context manager for read locks."""
-
-    def __init__(self, lock: ReadWriteLock) -> None:
-        self._lock = lock
-
-    def __enter__(self) -> "ReadLockContext":
-        self._lock.acquire_read()
-        return self
-
-    def __exit__(self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: object) -> None:
-        self._lock.release_read()
-
-
-@final
-class WriteLockContext:
-    """Context manager for write locks."""
-
-    def __init__(self, lock: ReadWriteLock) -> None:
-        self._lock = lock
-
-    def __enter__(self) -> "WriteLockContext":
-        self._lock.acquire_write()
-        return self
-
-    def __exit__(self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: object) -> None:
-        self._lock.release_write()
+        self.acquire_write()
+        try:
+            yield
+        finally:
+            self.release_write()
 
 
 @final

api/core/workflow/graph_engine/graph_engine.py

@@ -23,6 +23,7 @@ from core.workflow.graph_events import (
     GraphNodeEventBase,
     GraphRunAbortedEvent,
     GraphRunFailedEvent,
+    GraphRunPartialSucceededEvent,
     GraphRunStartedEvent,
     GraphRunSucceededEvent,
 )
@@ -260,12 +261,23 @@ class GraphEngine:
                 if self._graph_execution.error:
                     raise self._graph_execution.error
             else:
-                yield GraphRunSucceededEvent(
-                    outputs=self._graph_runtime_state.outputs,
-                )
+                outputs = self._graph_runtime_state.outputs
+                exceptions_count = self._graph_execution.exceptions_count
+                if exceptions_count > 0:
+                    yield GraphRunPartialSucceededEvent(
+                        exceptions_count=exceptions_count,
+                        outputs=outputs,
+                    )
+                else:
+                    yield GraphRunSucceededEvent(
+                        outputs=outputs,
+                    )
 
         except Exception as e:
-            yield GraphRunFailedEvent(error=str(e))
+            yield GraphRunFailedEvent(
+                error=str(e),
+                exceptions_count=self._graph_execution.exceptions_count,
+            )
             raise
 
         finally:

api/core/workflow/graph_engine/layers/debug_logging.py

@@ -15,6 +15,7 @@ from core.workflow.graph_events import (
     GraphEngineEvent,
     GraphRunAbortedEvent,
     GraphRunFailedEvent,
+    GraphRunPartialSucceededEvent,
     GraphRunStartedEvent,
     GraphRunSucceededEvent,
     NodeRunExceptionEvent,
@@ -127,6 +128,13 @@ class DebugLoggingLayer(GraphEngineLayer):
             if self.include_outputs and event.outputs:
                 self.logger.info("  Final outputs: %s", self._format_dict(event.outputs))
 
+        elif isinstance(event, GraphRunPartialSucceededEvent):
+            self.logger.warning("⚠️ Graph run partially succeeded")
+            if event.exceptions_count > 0:
+                self.logger.warning("  Total exceptions: %s", event.exceptions_count)
+            if self.include_outputs and event.outputs:
+                self.logger.info("  Final outputs: %s", self._format_dict(event.outputs))
+
         elif isinstance(event, GraphRunFailedEvent):
             self.logger.error("❌ Graph run failed: %s", event.error)
             if event.exceptions_count > 0:

api/core/workflow/graph_engine/layers/execution_limits.py

@@ -147,4 +147,4 @@ class ExecutionLimitsLayer(GraphEngineLayer):
             self.logger.debug("Abort command sent to engine")
 
         except Exception:
-            self.logger.exception("Failed to send abort command: %s")
+            self.logger.exception("Failed to send abort command")

api/core/workflow/nodes/iteration/iteration_node.py

@@ -19,6 +19,7 @@ from core.workflow.enums import (
 from core.workflow.graph_events import (
     GraphNodeEventBase,
     GraphRunFailedEvent,
+    GraphRunPartialSucceededEvent,
     GraphRunSucceededEvent,
 )
 from core.workflow.node_events import (
@@ -372,43 +373,16 @@ class IterationNode(Node):
         variable_mapping: dict[str, Sequence[str]] = {
             f"{node_id}.input_selector": typed_node_data.iterator_selector,
         }
+        iteration_node_ids = set()
 
-        # init graph
-        from core.workflow.entities import GraphInitParams, GraphRuntimeState
-        from core.workflow.graph import Graph
-        from core.workflow.nodes.node_factory import DifyNodeFactory
-
-        # Create minimal GraphInitParams for static analysis
-        graph_init_params = GraphInitParams(
-            tenant_id="",
-            app_id="",
-            workflow_id="",
-            graph_config=graph_config,
-            user_id="",
-            user_from="",
-            invoke_from="",
-            call_depth=0,
-        )
-
-        # Create minimal GraphRuntimeState for static analysis
-        from core.workflow.entities import VariablePool
-
-        graph_runtime_state = GraphRuntimeState(
-            variable_pool=VariablePool(),
-            start_at=0,
-        )
-
-        # Create node factory for static analysis
-        node_factory = DifyNodeFactory(graph_init_params=graph_init_params, graph_runtime_state=graph_runtime_state)
-
-        iteration_graph = Graph.init(
-            graph_config=graph_config,
-            node_factory=node_factory,
-            root_node_id=typed_node_data.start_node_id,
-        )
-
-        if not iteration_graph:
-            raise IterationGraphNotFoundError("iteration graph not found")
+        # Find all nodes that belong to this loop
+        nodes = graph_config.get("nodes", [])
+        for node in nodes:
+            node_data = node.get("data", {})
+            if node_data.get("iteration_id") == node_id:
+                in_iteration_node_id = node.get("id")
+                if in_iteration_node_id:
+                    iteration_node_ids.add(in_iteration_node_id)
 
         # Get node configs from graph_config instead of non-existent node_id_config_mapping
         node_configs = {node["id"]: node for node in graph_config.get("nodes", []) if "id" in node}
@@ -444,9 +418,7 @@ class IterationNode(Node):
             variable_mapping.update(sub_node_variable_mapping)
 
         # remove variable out from iteration
-        variable_mapping = {
-            key: value for key, value in variable_mapping.items() if value[0] not in iteration_graph.node_ids
-        }
+        variable_mapping = {key: value for key, value in variable_mapping.items() if value[0] not in iteration_node_ids}
 
         return variable_mapping
 
@@ -485,7 +457,7 @@ class IterationNode(Node):
             if isinstance(event, GraphNodeEventBase):
                 self._append_iteration_info_to_event(event=event, iter_run_index=current_index)
                 yield event
-            elif isinstance(event, GraphRunSucceededEvent):
+            elif isinstance(event, (GraphRunSucceededEvent, GraphRunPartialSucceededEvent)):
                 result = variable_pool.get(self._node_data.output_selector)
                 if result is None:
                     outputs.append(None)

api/core/workflow/nodes/loop/loop_node.py

@@ -1,3 +1,4 @@
+import contextlib
 import json
 import logging
 from collections.abc import Callable, Generator, Mapping, Sequence
@@ -127,11 +128,13 @@ class LoopNode(Node):
         try:
             reach_break_condition = False
             if break_conditions:
-                _, _, reach_break_condition = condition_processor.process_conditions(
-                    variable_pool=self.graph_runtime_state.variable_pool,
-                    conditions=break_conditions,
-                    operator=logical_operator,
-                )
+                with contextlib.suppress(ValueError):
+                    _, _, reach_break_condition = condition_processor.process_conditions(
+                        variable_pool=self.graph_runtime_state.variable_pool,
+                        conditions=break_conditions,
+                        operator=logical_operator,
+                    )
+
             if reach_break_condition:
                 loop_count = 0
             cost_tokens = 0
@@ -295,42 +298,11 @@ class LoopNode(Node):
 
         variable_mapping = {}
 
-        # init graph
-        from core.workflow.entities import GraphInitParams, GraphRuntimeState, VariablePool
-        from core.workflow.graph import Graph
-        from core.workflow.nodes.node_factory import DifyNodeFactory
+        # Extract loop node IDs statically from graph_config
 
-        # Create minimal GraphInitParams for static analysis
-        graph_init_params = GraphInitParams(
-            tenant_id="",
-            app_id="",
-            workflow_id="",
-            graph_config=graph_config,
-            user_id="",
-            user_from="",
-            invoke_from="",
-            call_depth=0,
-        )
+        loop_node_ids = cls._extract_loop_node_ids_from_config(graph_config, node_id)
 
-        # Create minimal GraphRuntimeState for static analysis
-        graph_runtime_state = GraphRuntimeState(
-            variable_pool=VariablePool(),
-            start_at=0,
-        )
-
-        # Create node factory for static analysis
-        node_factory = DifyNodeFactory(graph_init_params=graph_init_params, graph_runtime_state=graph_runtime_state)
-
-        loop_graph = Graph.init(
-            graph_config=graph_config,
-            node_factory=node_factory,
-            root_node_id=typed_node_data.start_node_id,
-        )
-
-        if not loop_graph:
-            raise ValueError("loop graph not found")
-
-        # Get node configs from graph_config instead of non-existent node_id_config_mapping
+        # Get node configs from graph_config
         node_configs = {node["id"]: node for node in graph_config.get("nodes", []) if "id" in node}
         for sub_node_id, sub_node_config in node_configs.items():
             if sub_node_config.get("data", {}).get("loop_id") != node_id:
@@ -371,12 +343,35 @@ class LoopNode(Node):
                 variable_mapping[f"{node_id}.{loop_variable.label}"] = selector
 
         # remove variable out from loop
-        variable_mapping = {
-            key: value for key, value in variable_mapping.items() if value[0] not in loop_graph.node_ids
-        }
+        variable_mapping = {key: value for key, value in variable_mapping.items() if value[0] not in loop_node_ids}
 
         return variable_mapping
 
+    @classmethod
+    def _extract_loop_node_ids_from_config(cls, graph_config: Mapping[str, Any], loop_node_id: str) -> set[str]:
+        """
+        Extract node IDs that belong to a specific loop from graph configuration.
+
+        This method statically analyzes the graph configuration to find all nodes
+        that are part of the specified loop, without creating actual node instances.
+
+        :param graph_config: the complete graph configuration
+        :param loop_node_id: the ID of the loop node
+        :return: set of node IDs that belong to the loop
+        """
+        loop_node_ids = set()
+
+        # Find all nodes that belong to this loop
+        nodes = graph_config.get("nodes", [])
+        for node in nodes:
+            node_data = node.get("data", {})
+            if node_data.get("loop_id") == loop_node_id:
+                node_id = node.get("id")
+                if node_id:
+                    loop_node_ids.add(node_id)
+
+        return loop_node_ids
+
     @staticmethod
     def _get_segment_for_constant(var_type: SegmentType, original_value: Any) -> Segment:
         """Get the appropriate segment type for a constant value."""

api/fields/file_fields.py

@@ -33,6 +33,7 @@ file_fields = {
     "created_by": fields.String,
     "created_at": TimestampField,
     "preview_url": fields.String,
+    "source_url": fields.String,
 }
 
 

api/gunicorn.conf.py

@@ -1,10 +1,32 @@
 import psycogreen.gevent as pscycogreen_gevent  # type: ignore
+from gevent import events as gevent_events
 from grpc.experimental import gevent as grpc_gevent  # type: ignore
 
+# NOTE(QuantumGhost): here we cannot use post_fork to patch gRPC, as
+# grpc_gevent.init_gevent must be called after patching stdlib.
+# Gunicorn calls `post_init` before applying monkey patch.
+# Use `post_init` to setup gRPC gevent support would cause deadlock and
+# some other weird issues.
+#
+# ref:
+# - https://github.com/grpc/grpc/blob/62533ea13879d6ee95c6fda11ec0826ca822c9dd/src/python/grpcio/grpc/experimental/gevent.py
+# - https://github.com/gevent/gevent/issues/2060#issuecomment-3016768668
+# - https://github.com/benoitc/gunicorn/blob/master/gunicorn/arbiter.py#L607-L613
 
-def post_fork(server, worker):
+
+def post_patch(event):
+    # this function is only called for gevent worker.
+    # from gevent docs (https://www.gevent.org/api/gevent.monkey.html):
+    # You can also subscribe to the events to provide additional patching beyond what gevent distributes, either for
+    # additional standard library modules, or for third-party packages. The suggested time to do this patching is in
+    # the subscriber for gevent.events.GeventDidPatchBuiltinModulesEvent.
+    if not isinstance(event, gevent_events.GeventDidPatchBuiltinModulesEvent):
+        return
     # grpc gevent
     grpc_gevent.init_gevent()
-    server.log.info("gRPC  patched with gevent.")
+    print("gRPC patched with gevent.", flush=True)  # noqa: T201
     pscycogreen_gevent.patch_psycopg()
-    server.log.info("psycopg2 patched with gevent.")
+    print("psycopg2 patched with gevent.", flush=True)  # noqa: T201
+
+
+gevent_events.subscribers.append(post_patch)

api/libs/oauth.py

@@ -1,7 +1,7 @@
 import urllib.parse
 from dataclasses import dataclass
 
-import requests
+import httpx
 
 
 @dataclass
@@ -58,7 +58,7 @@ class GitHubOAuth(OAuth):
             "redirect_uri": self.redirect_uri,
         }
         headers = {"Accept": "application/json"}
-        response = requests.post(self._TOKEN_URL, data=data, headers=headers)
+        response = httpx.post(self._TOKEN_URL, data=data, headers=headers)
 
         response_json = response.json()
         access_token = response_json.get("access_token")
@@ -70,11 +70,11 @@ class GitHubOAuth(OAuth):
 
     def get_raw_user_info(self, token: str):
         headers = {"Authorization": f"token {token}"}
-        response = requests.get(self._USER_INFO_URL, headers=headers)
+        response = httpx.get(self._USER_INFO_URL, headers=headers)
         response.raise_for_status()
         user_info = response.json()
 
-        email_response = requests.get(self._EMAIL_INFO_URL, headers=headers)
+        email_response = httpx.get(self._EMAIL_INFO_URL, headers=headers)
         email_info = email_response.json()
         primary_email: dict = next((email for email in email_info if email["primary"] == True), {})
 
@@ -112,7 +112,7 @@ class GoogleOAuth(OAuth):
             "redirect_uri": self.redirect_uri,
         }
         headers = {"Accept": "application/json"}
-        response = requests.post(self._TOKEN_URL, data=data, headers=headers)
+        response = httpx.post(self._TOKEN_URL, data=data, headers=headers)
 
         response_json = response.json()
         access_token = response_json.get("access_token")
@@ -124,7 +124,7 @@ class GoogleOAuth(OAuth):
 
     def get_raw_user_info(self, token: str):
         headers = {"Authorization": f"Bearer {token}"}
-        response = requests.get(self._USER_INFO_URL, headers=headers)
+        response = httpx.get(self._USER_INFO_URL, headers=headers)
         response.raise_for_status()
         return response.json()
 

api/libs/oauth_data_source.py

@@ -1,7 +1,7 @@
 import urllib.parse
 from typing import Any
 
-import requests
+import httpx
 from flask_login import current_user
 from sqlalchemy import select
 
@@ -43,7 +43,7 @@ class NotionOAuth(OAuthDataSource):
         data = {"code": code, "grant_type": "authorization_code", "redirect_uri": self.redirect_uri}
         headers = {"Accept": "application/json"}
         auth = (self.client_id, self.client_secret)
-        response = requests.post(self._TOKEN_URL, data=data, auth=auth, headers=headers)
+        response = httpx.post(self._TOKEN_URL, data=data, auth=auth, headers=headers)
 
         response_json = response.json()
         access_token = response_json.get("access_token")
@@ -239,7 +239,7 @@ class NotionOAuth(OAuthDataSource):
                 "Notion-Version": "2022-06-28",
             }
 
-            response = requests.post(url=self._NOTION_PAGE_SEARCH, json=data, headers=headers)
+            response = httpx.post(url=self._NOTION_PAGE_SEARCH, json=data, headers=headers)
             response_json = response.json()
 
             results.extend(response_json.get("results", []))
@@ -254,7 +254,7 @@ class NotionOAuth(OAuthDataSource):
             "Authorization": f"Bearer {access_token}",
             "Notion-Version": "2022-06-28",
         }
-        response = requests.get(url=f"{self._NOTION_BLOCK_SEARCH}/{block_id}", headers=headers)
+        response = httpx.get(url=f"{self._NOTION_BLOCK_SEARCH}/{block_id}", headers=headers)
         response_json = response.json()
         if response.status_code != 200:
             message = response_json.get("message", "unknown error")
@@ -270,7 +270,7 @@ class NotionOAuth(OAuthDataSource):
             "Authorization": f"Bearer {access_token}",
             "Notion-Version": "2022-06-28",
         }
-        response = requests.get(url=self._NOTION_BOT_USER, headers=headers)
+        response = httpx.get(url=self._NOTION_BOT_USER, headers=headers)
         response_json = response.json()
         if "object" in response_json and response_json["object"] == "user":
             user_type = response_json["type"]
@@ -294,7 +294,7 @@ class NotionOAuth(OAuthDataSource):
                 "Authorization": f"Bearer {access_token}",
                 "Notion-Version": "2022-06-28",
             }
-            response = requests.post(url=self._NOTION_PAGE_SEARCH, json=data, headers=headers)
+            response = httpx.post(url=self._NOTION_PAGE_SEARCH, json=data, headers=headers)
             response_json = response.json()
 
             results.extend(response_json.get("results", []))

api/migrations/versions/2025_09_17_1515-68519ad5cd18_knowledge_pipeline_migrate.py

@@ -47,7 +47,7 @@ def upgrade():
     sa.Column('plugin_id', sa.String(length=255), nullable=False),
     sa.Column('auth_type', sa.String(length=255), nullable=False),
     sa.Column('encrypted_credentials', postgresql.JSONB(astext_type=sa.Text()), nullable=False),
-    sa.Column('avatar_url', sa.String(length=255), nullable=True),
+    sa.Column('avatar_url', sa.Text(), nullable=True),
     sa.Column('is_default', sa.Boolean(), server_default=sa.text('false'), nullable=False),
     sa.Column('expires_at', sa.Integer(), server_default='-1', nullable=False),
     sa.Column('created_at', sa.DateTime(), server_default=sa.text('CURRENT_TIMESTAMP'), nullable=False),

api/models/model.py

@@ -1044,7 +1044,7 @@ class Message(Base):
                 sign_url = sign_tool_file(tool_file_id=tool_file_id, extension=extension)
             elif "file-preview" in url:
                 # get upload file id
-                upload_file_id_pattern = r"\/files\/([\w-]+)\/file-preview?\?timestamp="
+                upload_file_id_pattern = r"\/files\/([\w-]+)\/file-preview\?timestamp="
                 result = re.search(upload_file_id_pattern, url)
                 if not result:
                     continue
@@ -1055,7 +1055,7 @@ class Message(Base):
                 sign_url = file_helpers.get_signed_file_url(upload_file_id)
             elif "image-preview" in url:
                 # image-preview is deprecated, use file-preview instead
-                upload_file_id_pattern = r"\/files\/([\w-]+)\/image-preview?\?timestamp="
+                upload_file_id_pattern = r"\/files\/([\w-]+)\/image-preview\?timestamp="
                 result = re.search(upload_file_id_pattern, url)
                 if not result:
                     continue

api/models/oauth.py

@@ -35,7 +35,7 @@ class DatasourceProvider(Base):
     plugin_id: Mapped[str] = db.Column(db.String(255), nullable=False)
     auth_type: Mapped[str] = db.Column(db.String(255), nullable=False)
     encrypted_credentials: Mapped[dict] = db.Column(JSONB, nullable=False)
-    avatar_url: Mapped[str] = db.Column(db.String(255), nullable=True, default="default")
+    avatar_url: Mapped[str] = db.Column(db.Text, nullable=True, default="default")
     is_default: Mapped[bool] = db.Column(db.Boolean, nullable=False, server_default=db.text("false"))
     expires_at: Mapped[int] = db.Column(db.Integer, nullable=False, server_default="-1")
 

api/pyproject.toml

@@ -1,11 +1,11 @@
 [project]
 name = "dify-api"
-version = "2.0.0-beta2"
+version = "1.9.0"
 requires-python = ">=3.11,<3.13"
 
 dependencies = [
     "arize-phoenix-otel~=0.9.2",
-    "authlib==1.3.1",
+    "authlib==1.6.4",
     "azure-identity==1.16.1",
     "beautifulsoup4==4.12.2",
     "boto3==1.35.99",
@@ -20,7 +20,7 @@ dependencies = [
     "flask-migrate~=4.0.7",
     "flask-orjson~=2.0.0",
     "flask-sqlalchemy~=3.1.1",
-    "gevent~=24.11.1",
+    "gevent~=25.9.1",
     "gmpy2~=2.2.1",
     "google-api-core==2.18.0",
     "google-api-python-client==2.90.0",
@@ -169,7 +169,7 @@ dev = [
     "types-redis>=4.6.0.20241004",
     "celery-types>=0.23.0",
     "mypy~=1.17.1",
-    "locust>=2.40.4",
+    # "locust>=2.40.4",  # Temporarily removed due to compatibility issues. Uncomment when resolved.
     "sseclient-py>=1.8.0",
 ]
 
@@ -211,7 +211,7 @@ vdb = [
     "pgvecto-rs[sqlalchemy]~=0.2.1",
     "pgvector==0.2.5",
     "pymilvus~=2.5.0",
-    "pymochow==1.3.1",
+    "pymochow==2.2.9",
     "pyobvector~=0.2.15",
     "qdrant-client==1.9.0",
     "tablestore==6.2.0",

api/services/auth/firecrawl/firecrawl.py

@@ -1,6 +1,6 @@
 import json
 
-import requests
+import httpx
 
 from services.auth.api_key_auth_base import ApiKeyAuthBase
 
@@ -36,7 +36,7 @@ class FirecrawlAuth(ApiKeyAuthBase):
         return {"Content-Type": "application/json", "Authorization": f"Bearer {self.api_key}"}
 
     def _post_request(self, url, data, headers):
-        return requests.post(url, headers=headers, json=data)
+        return httpx.post(url, headers=headers, json=data)
 
     def _handle_error(self, response):
         if response.status_code in {402, 409, 500}:

api/services/auth/jina.py

@@ -1,6 +1,6 @@
 import json
 
-import requests
+import httpx
 
 from services.auth.api_key_auth_base import ApiKeyAuthBase
 
@@ -31,7 +31,7 @@ class JinaAuth(ApiKeyAuthBase):
         return {"Content-Type": "application/json", "Authorization": f"Bearer {self.api_key}"}
 
     def _post_request(self, url, data, headers):
-        return requests.post(url, headers=headers, json=data)
+        return httpx.post(url, headers=headers, json=data)
 
     def _handle_error(self, response):
         if response.status_code in {402, 409, 500}:

api/services/auth/jina/jina.py

@@ -1,6 +1,6 @@
 import json
 
-import requests
+import httpx
 
 from services.auth.api_key_auth_base import ApiKeyAuthBase
 
@@ -31,7 +31,7 @@ class JinaAuth(ApiKeyAuthBase):
         return {"Content-Type": "application/json", "Authorization": f"Bearer {self.api_key}"}
 
     def _post_request(self, url, data, headers):
-        return requests.post(url, headers=headers, json=data)
+        return httpx.post(url, headers=headers, json=data)
 
     def _handle_error(self, response):
         if response.status_code in {402, 409, 500}:

api/services/auth/watercrawl/watercrawl.py

@@ -1,7 +1,7 @@
 import json
 from urllib.parse import urljoin
 
-import requests
+import httpx
 
 from services.auth.api_key_auth_base import ApiKeyAuthBase
 
@@ -31,7 +31,7 @@ class WatercrawlAuth(ApiKeyAuthBase):
         return {"Content-Type": "application/json", "X-API-KEY": self.api_key}
 
     def _get_request(self, url, headers):
-        return requests.get(url, headers=headers)
+        return httpx.get(url, headers=headers)
 
     def _handle_error(self, response):
         if response.status_code in {402, 409, 500}:

api/services/dataset_service.py

@@ -532,7 +532,8 @@ class DatasetService:
         filtered_data["updated_by"] = user.id
         filtered_data["updated_at"] = naive_utc_now()
         # update Retrieval model
-        filtered_data["retrieval_model"] = data["retrieval_model"]
+        if data.get("retrieval_model"):
+            filtered_data["retrieval_model"] = data["retrieval_model"]
         # update icon info
         if data.get("icon_info"):
             filtered_data["icon_info"] = data.get("icon_info")

api/services/message_service.py

@@ -217,7 +217,7 @@ class MessageService:
     @classmethod
     def get_suggested_questions_after_answer(
         cls, app_model: App, user: Union[Account, EndUser] | None, message_id: str, invoke_from: InvokeFrom
-    ) -> list[Message]:
+    ) -> list[str]:
         if not user:
             raise ValueError("user cannot be None")
 
@@ -288,7 +288,7 @@ class MessageService:
         )
 
         with measure_time() as timer:
-            questions: list[Message] = LLMGenerator.generate_suggested_questions_after_answer(
+            questions: list[str] = LLMGenerator.generate_suggested_questions_after_answer(
                 tenant_id=app_model.tenant_id, histories=histories
             )
 

api/services/operation_service.py

@@ -1,6 +1,6 @@
 import os
 
-import requests
+import httpx
 
 
 class OperationService:
@@ -12,7 +12,7 @@ class OperationService:
         headers = {"Content-Type": "application/json", "Billing-Api-Secret-Key": cls.secret_key}
 
         url = f"{cls.base_url}{endpoint}"
-        response = requests.request(method, url, json=json, params=params, headers=headers)
+        response = httpx.request(method, url, json=json, params=params, headers=headers)
 
         return response.json()
 

api/services/plugin/data_migration.py

@@ -46,7 +46,11 @@ limit 1000"""
                     record_id = str(i.id)
                     provider_name = str(i.provider_name)
                     retrieval_model = i.retrieval_model
-                    print(type(retrieval_model))
+                    logger.debug(
+                        "Processing dataset %s with retrieval model of type %s",
+                        record_id,
+                        type(retrieval_model),
+                    )
 
                     if record_id in failed_ids:
                         continue

api/services/rag_pipeline/rag_pipeline.py

@@ -1327,14 +1327,14 @@ class RagPipelineService:
         """
         Retry error document
         """
-        document_pipeline_excution_log = (
+        document_pipeline_execution_log = (
             db.session.query(DocumentPipelineExecutionLog)
             .where(DocumentPipelineExecutionLog.document_id == document.id)
             .first()
         )
-        if not document_pipeline_excution_log:
+        if not document_pipeline_execution_log:
             raise ValueError("Document pipeline execution log not found")
-        pipeline = db.session.query(Pipeline).where(Pipeline.id == document_pipeline_excution_log.pipeline_id).first()
+        pipeline = db.session.query(Pipeline).where(Pipeline.id == document_pipeline_execution_log.pipeline_id).first()
         if not pipeline:
             raise ValueError("Pipeline not found")
         # convert to app config
@@ -1346,10 +1346,10 @@ class RagPipelineService:
             workflow=workflow,
             user=user,
             args={
-                "inputs": document_pipeline_excution_log.input_data,
-                "start_node_id": document_pipeline_excution_log.datasource_node_id,
-                "datasource_type": document_pipeline_excution_log.datasource_type,
-                "datasource_info_list": [json.loads(document_pipeline_excution_log.datasource_info)],
+                "inputs": document_pipeline_execution_log.input_data,
+                "start_node_id": document_pipeline_execution_log.datasource_node_id,
+                "datasource_type": document_pipeline_execution_log.datasource_type,
+                "datasource_info_list": [json.loads(document_pipeline_execution_log.datasource_info)],
                 "original_document_id": document.id,
             },
             invoke_from=InvokeFrom.PUBLISHED,
@@ -1381,8 +1381,8 @@ class RagPipelineService:
         datasource_nodes = workflow.graph_dict.get("nodes", [])
         datasource_plugins = []
         for datasource_node in datasource_nodes:
-            if datasource_node.get("type") == "datasource":
-                datasource_node_data = datasource_node.get("data", {})
+            if datasource_node.get("data", {}).get("type") == "datasource":
+                datasource_node_data = datasource_node["data"]
                 if not datasource_node_data:
                     continue
 

api/services/rag_pipeline/rag_pipeline_dsl_service.py

@@ -685,12 +685,24 @@ class RagPipelineDslService:
 
         workflow_dict = workflow.to_dict(include_secret=include_secret)
         for node in workflow_dict.get("graph", {}).get("nodes", []):
-            if node.get("data", {}).get("type", "") == NodeType.KNOWLEDGE_RETRIEVAL.value:
-                dataset_ids = node["data"].get("dataset_ids", [])
+            node_data = node.get("data", {})
+            if not node_data:
+                continue
+            data_type = node_data.get("type", "")
+            if data_type == NodeType.KNOWLEDGE_RETRIEVAL.value:
+                dataset_ids = node_data.get("dataset_ids", [])
                 node["data"]["dataset_ids"] = [
                     self.encrypt_dataset_id(dataset_id=dataset_id, tenant_id=pipeline.tenant_id)
                     for dataset_id in dataset_ids
                 ]
+            # filter credential id from tool node
+            if not include_secret and data_type == NodeType.TOOL.value:
+                node_data.pop("credential_id", None)
+            # filter credential id from agent node
+            if not include_secret and data_type == NodeType.AGENT.value:
+                for tool in node_data.get("agent_parameters", {}).get("tools", {}).get("value", []):
+                    tool.pop("credential_id", None)
+
         export_data["workflow"] = workflow_dict
         dependencies = self._extract_dependencies_from_workflow(workflow)
         export_data["dependencies"] = [

api/services/rag_pipeline/rag_pipeline_transform_service.py

@@ -1,4 +1,5 @@
 import json
+import logging
 from datetime import UTC, datetime
 from pathlib import Path
 from uuid import uuid4
@@ -17,6 +18,8 @@ from services.entities.knowledge_entities.rag_pipeline_entities import Knowledge
 from services.plugin.plugin_migration import PluginMigration
 from services.plugin.plugin_service import PluginService
 
+logger = logging.getLogger(__name__)
+
 
 class RagPipelineTransformService:
     def transform_dataset(self, dataset_id: str):
@@ -35,11 +38,11 @@ class RagPipelineTransformService:
         indexing_technique = dataset.indexing_technique
 
         if not datasource_type and not indexing_technique:
-            return self._transfrom_to_empty_pipeline(dataset)
+            return self._transform_to_empty_pipeline(dataset)
 
         doc_form = dataset.doc_form
         if not doc_form:
-            return self._transfrom_to_empty_pipeline(dataset)
+            return self._transform_to_empty_pipeline(dataset)
         retrieval_model = dataset.retrieval_model
         pipeline_yaml = self._get_transform_yaml(doc_form, datasource_type, indexing_technique)
         # deal dependencies
@@ -257,10 +260,10 @@ class RagPipelineTransformService:
                     if plugin_unique_identifier:
                         need_install_plugin_unique_identifiers.append(plugin_unique_identifier)
         if need_install_plugin_unique_identifiers:
-            print(need_install_plugin_unique_identifiers)
+            logger.debug("Installing missing pipeline plugins %s", need_install_plugin_unique_identifiers)
             PluginService.install_from_marketplace_pkg(tenant_id, need_install_plugin_unique_identifiers)
 
-    def _transfrom_to_empty_pipeline(self, dataset: Dataset):
+    def _transform_to_empty_pipeline(self, dataset: Dataset):
         pipeline = Pipeline(
             tenant_id=dataset.tenant_id,
             name=dataset.name,

api/services/website_service.py

@@ -3,7 +3,7 @@ import json
 from dataclasses import dataclass
 from typing import Any
 
-import requests
+import httpx
 from flask_login import current_user
 
 from core.helper import encrypter
@@ -216,7 +216,7 @@ class WebsiteService:
     @classmethod
     def _crawl_with_jinareader(cls, request: CrawlRequest, api_key: str) -> dict[str, Any]:
         if not request.options.crawl_sub_pages:
-            response = requests.get(
+            response = httpx.get(
                 f"https://r.jina.ai/{request.url}",
                 headers={"Accept": "application/json", "Authorization": f"Bearer {api_key}"},
             )
@@ -224,7 +224,7 @@ class WebsiteService:
                 raise ValueError("Failed to crawl:")
             return {"status": "active", "data": response.json().get("data")}
         else:
-            response = requests.post(
+            response = httpx.post(
                 "https://adaptivecrawl-kir3wx7b3a-uc.a.run.app",
                 json={
                     "url": request.url,
@@ -287,7 +287,7 @@ class WebsiteService:
 
     @classmethod
     def _get_jinareader_status(cls, job_id: str, api_key: str) -> dict[str, Any]:
-        response = requests.post(
+        response = httpx.post(
             "https://adaptivecrawlstatus-kir3wx7b3a-uc.a.run.app",
             headers={"Content-Type": "application/json", "Authorization": f"Bearer {api_key}"},
             json={"taskId": job_id},
@@ -303,7 +303,7 @@ class WebsiteService:
         }
 
         if crawl_status_data["status"] == "completed":
-            response = requests.post(
+            response = httpx.post(
                 "https://adaptivecrawlstatus-kir3wx7b3a-uc.a.run.app",
                 headers={"Content-Type": "application/json", "Authorization": f"Bearer {api_key}"},
                 json={"taskId": job_id, "urls": list(data.get("processed", {}).keys())},
@@ -362,7 +362,7 @@ class WebsiteService:
     @classmethod
     def _get_jinareader_url_data(cls, job_id: str, url: str, api_key: str) -> dict[str, Any] | None:
         if not job_id:
-            response = requests.get(
+            response = httpx.get(
                 f"https://r.jina.ai/{url}",
                 headers={"Accept": "application/json", "Authorization": f"Bearer {api_key}"},
             )
@@ -371,7 +371,7 @@ class WebsiteService:
             return dict(response.json().get("data", {}))
         else:
             # Get crawl status first
-            status_response = requests.post(
+            status_response = httpx.post(
                 "https://adaptivecrawlstatus-kir3wx7b3a-uc.a.run.app",
                 headers={"Content-Type": "application/json", "Authorization": f"Bearer {api_key}"},
                 json={"taskId": job_id},
@@ -381,7 +381,7 @@ class WebsiteService:
                 raise ValueError("Crawl job is not completed")
 
             # Get processed data
-            data_response = requests.post(
+            data_response = httpx.post(
                 "https://adaptivecrawlstatus-kir3wx7b3a-uc.a.run.app",
                 headers={"Content-Type": "application/json", "Authorization": f"Bearer {api_key}"},
                 json={"taskId": job_id, "urls": list(status_data.get("processed", {}).keys())},

api/services/workflow_service.py

@@ -450,7 +450,8 @@ class WorkflowService:
             )
 
             if not default_provider:
-                raise ValueError("No default credential found")
+                # plugin does not require credentials, skip
+                return
 
             # Check credential policy compliance using the default credential ID
             from core.helper.credential_utils import check_credential_policy_compliance

api/tests/integration_tests/controllers/console/app/test_chat_message_permissions.py

@@ -1,12 +1,14 @@
 """Integration tests for ChatMessageApi permission verification."""
 
 import uuid
+from types import SimpleNamespace
 from unittest import mock
 
 import pytest
 from flask.testing import FlaskClient
 
 from controllers.console.app import completion as completion_api
+from controllers.console.app import message as message_api
 from controllers.console.app import wraps
 from libs.datetime_utils import naive_utc_now
 from models import Account, App, Tenant
@@ -99,3 +101,106 @@ class TestChatMessageApiPermissions:
         )
 
         assert response.status_code == status
+
+    @pytest.mark.parametrize(
+        ("role", "status"),
+        [
+            (TenantAccountRole.OWNER, 200),
+            (TenantAccountRole.ADMIN, 200),
+            (TenantAccountRole.EDITOR, 200),
+            (TenantAccountRole.NORMAL, 403),
+            (TenantAccountRole.DATASET_OPERATOR, 403),
+        ],
+    )
+    def test_get_requires_edit_permission(
+        self,
+        test_client: FlaskClient,
+        auth_header,
+        monkeypatch,
+        mock_app_model,
+        mock_account,
+        role: TenantAccountRole,
+        status: int,
+    ):
+        """Ensure GET chat-messages endpoint enforces edit permissions."""
+
+        mock_load_app_model = mock.Mock(return_value=mock_app_model)
+        monkeypatch.setattr(wraps, "_load_app_model", mock_load_app_model)
+
+        conversation_id = uuid.uuid4()
+        created_at = naive_utc_now()
+
+        mock_conversation = SimpleNamespace(id=str(conversation_id), app_id=str(mock_app_model.id))
+        mock_message = SimpleNamespace(
+            id=str(uuid.uuid4()),
+            conversation_id=str(conversation_id),
+            inputs=[],
+            query="hello",
+            message=[{"text": "hello"}],
+            message_tokens=0,
+            re_sign_file_url_answer="",
+            answer_tokens=0,
+            provider_response_latency=0.0,
+            from_source="console",
+            from_end_user_id=None,
+            from_account_id=mock_account.id,
+            feedbacks=[],
+            workflow_run_id=None,
+            annotation=None,
+            annotation_hit_history=None,
+            created_at=created_at,
+            agent_thoughts=[],
+            message_files=[],
+            message_metadata_dict={},
+            status="success",
+            error="",
+            parent_message_id=None,
+        )
+
+        class MockQuery:
+            def __init__(self, model):
+                self.model = model
+
+            def where(self, *args, **kwargs):
+                return self
+
+            def first(self):
+                if getattr(self.model, "__name__", "") == "Conversation":
+                    return mock_conversation
+                return None
+
+            def order_by(self, *args, **kwargs):
+                return self
+
+            def limit(self, *_):
+                return self
+
+            def all(self):
+                if getattr(self.model, "__name__", "") == "Message":
+                    return [mock_message]
+                return []
+
+        mock_session = mock.Mock()
+        mock_session.query.side_effect = MockQuery
+        mock_session.scalar.return_value = False
+
+        monkeypatch.setattr(message_api, "db", SimpleNamespace(session=mock_session))
+        monkeypatch.setattr(message_api, "current_user", mock_account)
+
+        class DummyPagination:
+            def __init__(self, data, limit, has_more):
+                self.data = data
+                self.limit = limit
+                self.has_more = has_more
+
+        monkeypatch.setattr(message_api, "InfiniteScrollPagination", DummyPagination)
+
+        mock_account.role = role
+
+        response = test_client.get(
+            f"/console/api/apps/{mock_app_model.id}/chat-messages",
+            headers=auth_header,
+            query_string={"conversation_id": str(conversation_id)},
+        )
+
+        assert response.status_code == status

api/tests/integration_tests/plugin/__mock/http.py

@@ -1,8 +1,8 @@
 import os
 from typing import Literal
 
+import httpx
 import pytest
-import requests
 
 from core.plugin.entities.plugin_daemon import PluginDaemonBasicResponse
 from core.tools.entities.common_entities import I18nObject
@@ -27,13 +27,11 @@ class MockedHttp:
     @classmethod
     def requests_request(
         cls, method: Literal["GET", "POST", "PUT", "DELETE", "PATCH", "HEAD"], url: str, **kwargs
-    ) -> requests.Response:
+    ) -> httpx.Response:
         """
-        Mocked requests.request
+        Mocked httpx.request
         """
-        request = requests.PreparedRequest()
-        request.method = method
-        request.url = url
+        request = httpx.Request(method, url)
         if url.endswith("/tools"):
             content = PluginDaemonBasicResponse[list[ToolProviderEntity]](
                 code=0, message="success", data=cls.list_tools()
@@ -41,8 +39,7 @@ class MockedHttp:
         else:
             raise ValueError("")
 
-        response = requests.Response()
-        response.status_code = 200
+        response = httpx.Response(status_code=200)
         response.request = request
         response._content = content.encode("utf-8")
         return response
@@ -54,7 +51,7 @@ MOCK_SWITCH = os.getenv("MOCK_SWITCH", "false").lower() == "true"
 @pytest.fixture
 def setup_http_mock(request, monkeypatch: pytest.MonkeyPatch):
     if MOCK_SWITCH:
-        monkeypatch.setattr(requests, "request", MockedHttp.requests_request)
+        monkeypatch.setattr(httpx, "request", MockedHttp.requests_request)
 
         def unpatch():
             monkeypatch.undo()

api/tests/integration_tests/vdb/__mock/baiduvectordb.py

@@ -100,8 +100,8 @@ class MockBaiduVectorDBClass:
                 "row": {
                     "id": primary_key.get("id"),
                     "vector": [0.23432432, 0.8923744, 0.89238432],
-                    "text": "text",
-                    "metadata": '{"doc_id": "doc_id_001"}',
+                    "page_content": "text",
+                    "metadata": {"doc_id": "doc_id_001"},
                 },
                 "code": 0,
                 "msg": "Success",
@@ -127,8 +127,8 @@ class MockBaiduVectorDBClass:
                         "row": {
                             "id": "doc_id_001",
                             "vector": [0.23432432, 0.8923744, 0.89238432],
-                            "text": "text",
-                            "metadata": '{"doc_id": "doc_id_001"}',
+                            "page_content": "text",
+                            "metadata": {"doc_id": "doc_id_001"},
                         },
                         "distance": 0.1,
                         "score": 0.5,

api/tests/integration_tests/vdb/clickzetta/test_docker_integration.py

@@ -6,7 +6,7 @@ Test Clickzetta integration in Docker environment
 import os
 import time
 
-import requests
+import httpx
 from clickzetta import connect
 
 
@@ -66,7 +66,7 @@ def test_dify_api():
     max_retries = 30
     for i in range(max_retries):
         try:
-            response = requests.get(f"{base_url}/console/api/health")
+            response = httpx.get(f"{base_url}/console/api/health")
             if response.status_code == 200:
                 print("✓ Dify API is ready")
                 break

api/tests/test_containers_integration_tests/conftest.py

@@ -173,7 +173,7 @@ class DifyTestContainers:
         # Start Dify Plugin Daemon container for plugin management
         # Dify Plugin Daemon provides plugin lifecycle management and execution
         logger.info("Initializing Dify Plugin Daemon container...")
-        self.dify_plugin_daemon = DockerContainer(image="langgenius/dify-plugin-daemon:0.2.0-local")
+        self.dify_plugin_daemon = DockerContainer(image="langgenius/dify-plugin-daemon:0.3.0-local")
         self.dify_plugin_daemon.with_exposed_ports(5002)
         self.dify_plugin_daemon.env = {
             "DB_HOST": db_host,

api/tests/test_containers_integration_tests/tasks/test_batch_clean_document_task.py

@@ -13,6 +13,7 @@ import pytest
 from faker import Faker
 
 from extensions.ext_database import db
+from libs.datetime_utils import naive_utc_now
 from models.account import Account, Tenant, TenantAccountJoin, TenantAccountRole
 from models.dataset import Dataset, Document, DocumentSegment
 from models.model import UploadFile
@@ -202,7 +203,6 @@ class TestBatchCleanDocumentTask:
             UploadFile: Created upload file instance
         """
         fake = Faker()
-        from datetime import datetime
 
         from models.enums import CreatorUserRole
 
@@ -216,7 +216,7 @@ class TestBatchCleanDocumentTask:
             mime_type="text/plain",
             created_by_role=CreatorUserRole.ACCOUNT,
             created_by=account.id,
-            created_at=datetime.utcnow(),
+            created_at=naive_utc_now(),
             used=False,
         )
 

api/tests/unit_tests/controllers/console/auth/test_oauth.py

@@ -201,9 +201,9 @@ class TestOAuthCallback:
         mock_db.session.rollback = MagicMock()
 
         # Import the real requests module to create a proper exception
-        import requests
+        import httpx
 
-        request_exception = requests.exceptions.RequestException("OAuth error")
+        request_exception = httpx.RequestError("OAuth error")
         request_exception.response = MagicMock()
         request_exception.response.text = str(exception)
 

api/tests/unit_tests/core/repositories/test_workflow_node_execution_conflict_handling.py

@@ -1,6 +1,5 @@
 """Unit tests for workflow node execution conflict handling."""
 
-from datetime import datetime
 from unittest.mock import MagicMock, Mock
 
 import psycopg2.errors
@@ -16,6 +15,7 @@ from core.workflow.entities.workflow_node_execution import (
     WorkflowNodeExecutionStatus,
 )
 from core.workflow.enums import NodeType
+from libs.datetime_utils import naive_utc_now
 from models import Account, WorkflowNodeExecutionTriggeredFrom
 
 
@@ -74,7 +74,7 @@ class TestWorkflowNodeExecutionConflictHandling:
             title="Test Node",
             index=1,
             status=WorkflowNodeExecutionStatus.RUNNING,
-            created_at=datetime.utcnow(),
+            created_at=naive_utc_now(),
         )
 
         original_id = execution.id
@@ -112,7 +112,7 @@ class TestWorkflowNodeExecutionConflictHandling:
             title="Test Node",
             index=1,
             status=WorkflowNodeExecutionStatus.SUCCEEDED,
-            created_at=datetime.utcnow(),
+            created_at=naive_utc_now(),
         )
 
         # Save should update existing record
@@ -157,7 +157,7 @@ class TestWorkflowNodeExecutionConflictHandling:
             title="Test Node",
             index=1,
             status=WorkflowNodeExecutionStatus.RUNNING,
-            created_at=datetime.utcnow(),
+            created_at=naive_utc_now(),
         )
 
         # Save should raise IntegrityError after max retries
@@ -199,7 +199,7 @@ class TestWorkflowNodeExecutionConflictHandling:
             title="Test Node",
             index=1,
             status=WorkflowNodeExecutionStatus.RUNNING,
-            created_at=datetime.utcnow(),
+            created_at=naive_utc_now(),
         )
 
         # Save should raise error immediately

api/tests/unit_tests/core/workflow/graph_engine/event_management/test_event_handlers.py

@@ -0,0 +1,120 @@
+"""Tests for graph engine event handlers."""
+
+from __future__ import annotations
+
+from datetime import datetime
+
+from core.workflow.entities import GraphRuntimeState, VariablePool
+from core.workflow.enums import NodeExecutionType, NodeState, NodeType, WorkflowNodeExecutionStatus
+from core.workflow.graph import Graph
+from core.workflow.graph_engine.domain.graph_execution import GraphExecution
+from core.workflow.graph_engine.event_management.event_handlers import EventHandler
+from core.workflow.graph_engine.event_management.event_manager import EventManager
+from core.workflow.graph_engine.graph_state_manager import GraphStateManager
+from core.workflow.graph_engine.ready_queue.in_memory import InMemoryReadyQueue
+from core.workflow.graph_engine.response_coordinator.coordinator import ResponseStreamCoordinator
+from core.workflow.graph_events import NodeRunRetryEvent, NodeRunStartedEvent
+from core.workflow.node_events import NodeRunResult
+from core.workflow.nodes.base.entities import RetryConfig
+
+
+class _StubEdgeProcessor:
+    """Minimal edge processor stub for tests."""
+
+
+class _StubErrorHandler:
+    """Minimal error handler stub for tests."""
+
+
+class _StubNode:
+    """Simple node stub exposing the attributes needed by the state manager."""
+
+    def __init__(self, node_id: str) -> None:
+        self.id = node_id
+        self.state = NodeState.UNKNOWN
+        self.title = "Stub Node"
+        self.execution_type = NodeExecutionType.EXECUTABLE
+        self.error_strategy = None
+        self.retry_config = RetryConfig()
+        self.retry = False
+
+
+def _build_event_handler(node_id: str) -> tuple[EventHandler, EventManager, GraphExecution]:
+    """Construct an EventHandler with in-memory dependencies for testing."""
+
+    node = _StubNode(node_id)
+    graph = Graph(nodes={node_id: node}, edges={}, in_edges={}, out_edges={}, root_node=node)
+
+    variable_pool = VariablePool()
+    runtime_state = GraphRuntimeState(variable_pool=variable_pool, start_at=0.0)
+    graph_execution = GraphExecution(workflow_id="test-workflow")
+
+    event_manager = EventManager()
+    state_manager = GraphStateManager(graph=graph, ready_queue=InMemoryReadyQueue())
+    response_coordinator = ResponseStreamCoordinator(variable_pool=variable_pool, graph=graph)
+
+    handler = EventHandler(
+        graph=graph,
+        graph_runtime_state=runtime_state,
+        graph_execution=graph_execution,
+        response_coordinator=response_coordinator,
+        event_collector=event_manager,
+        edge_processor=_StubEdgeProcessor(),
+        state_manager=state_manager,
+        error_handler=_StubErrorHandler(),
+    )
+
+    return handler, event_manager, graph_execution
+
+
+def test_retry_does_not_emit_additional_start_event() -> None:
+    """Ensure retry attempts do not produce duplicate start events."""
+
+    node_id = "test-node"
+    handler, event_manager, graph_execution = _build_event_handler(node_id)
+
+    execution_id = "exec-1"
+    node_type = NodeType.CODE
+    start_time = datetime.utcnow()
+
+    start_event = NodeRunStartedEvent(
+        id=execution_id,
+        node_id=node_id,
+        node_type=node_type,
+        node_title="Stub Node",
+        start_at=start_time,
+    )
+    handler.dispatch(start_event)
+
+    retry_event = NodeRunRetryEvent(
+        id=execution_id,
+        node_id=node_id,
+        node_type=node_type,
+        node_title="Stub Node",
+        start_at=start_time,
+        error="boom",
+        retry_index=1,
+        node_run_result=NodeRunResult(
+            status=WorkflowNodeExecutionStatus.FAILED,
+            error="boom",
+            error_type="TestError",
+        ),
+    )
+    handler.dispatch(retry_event)
+
+    # Simulate the node starting execution again after retry
+    second_start_event = NodeRunStartedEvent(
+        id=execution_id,
+        node_id=node_id,
+        node_type=node_type,
+        node_title="Stub Node",
+        start_at=start_time,
+    )
+    handler.dispatch(second_start_event)
+
+    collected_types = [type(event) for event in event_manager._events]  # type: ignore[attr-defined]
+
+    assert collected_types == [NodeRunStartedEvent, NodeRunRetryEvent]
+
+    node_execution = graph_execution.get_or_create_node_execution(node_id)
+    assert node_execution.retry_count == 1

api/tests/unit_tests/core/workflow/graph_engine/test_graph_engine.py

@@ -10,11 +10,18 @@ import time
 from hypothesis import HealthCheck, given, settings
 from hypothesis import strategies as st
 
+from core.workflow.enums import ErrorStrategy
 from core.workflow.graph_engine import GraphEngine
 from core.workflow.graph_engine.command_channels import InMemoryChannel
-from core.workflow.graph_events import GraphRunStartedEvent, GraphRunSucceededEvent
+from core.workflow.graph_events import (
+    GraphRunPartialSucceededEvent,
+    GraphRunStartedEvent,
+    GraphRunSucceededEvent,
+)
+from core.workflow.nodes.base.entities import DefaultValue, DefaultValueType
 
 # Import the test framework from the new module
+from .test_mock_config import MockConfigBuilder
 from .test_table_runner import TableTestRunner, WorkflowRunner, WorkflowTestCase
 
 
@@ -721,3 +728,39 @@ def test_event_sequence_validation_with_table_tests():
         else:
             assert result.event_sequence_match is True
         assert result.success, f"Test {i + 1} failed: {result.event_mismatch_details or result.error}"
+
+
+def test_graph_run_emits_partial_success_when_node_failure_recovered():
+    runner = TableTestRunner()
+
+    fixture_data = runner.workflow_runner.load_fixture("basic_chatflow")
+    mock_config = MockConfigBuilder().with_node_error("llm", "mock llm failure").build()
+
+    graph, graph_runtime_state = runner.workflow_runner.create_graph_from_fixture(
+        fixture_data=fixture_data,
+        query="hello",
+        use_mock_factory=True,
+        mock_config=mock_config,
+    )
+
+    llm_node = graph.nodes["llm"]
+    base_node_data = llm_node.get_base_node_data()
+    base_node_data.error_strategy = ErrorStrategy.DEFAULT_VALUE
+    base_node_data.default_value = [DefaultValue(key="text", value="fallback response", type=DefaultValueType.STRING)]
+
+    engine = GraphEngine(
+        workflow_id="test_workflow",
+        graph=graph,
+        graph_runtime_state=graph_runtime_state,
+        command_channel=InMemoryChannel(),
+    )
+
+    events = list(engine.run())
+
+    assert isinstance(events[-1], GraphRunPartialSucceededEvent)
+
+    partial_event = next(event for event in events if isinstance(event, GraphRunPartialSucceededEvent))
+    assert partial_event.exceptions_count == 1
+    assert partial_event.outputs.get("answer") == "fallback response"
+
+    assert not any(isinstance(event, GraphRunSucceededEvent) for event in events)

api/tests/unit_tests/core/workflow/nodes/test_retry.py

@@ -1,65 +0,0 @@
-import pytest
-
-pytest.skip(
-    "Retry functionality is part of Phase 2 enhanced error handling - not implemented in MVP of queue-based engine",
-    allow_module_level=True,
-)
-
-DEFAULT_VALUE_EDGE = [
-    {
-        "id": "start-source-node-target",
-        "source": "start",
-        "target": "node",
-        "sourceHandle": "source",
-    },
-    {
-        "id": "node-source-answer-target",
-        "source": "node",
-        "target": "answer",
-        "sourceHandle": "source",
-    },
-]
-
-
-def test_retry_default_value_partial_success():
-    """retry default value node with partial success status"""
-    graph_config = {
-        "edges": DEFAULT_VALUE_EDGE,
-        "nodes": [
-            {"data": {"title": "start", "type": "start", "variables": []}, "id": "start"},
-            {"data": {"title": "answer", "type": "answer", "answer": "{{#node.result#}}"}, "id": "answer"},
-            ContinueOnErrorTestHelper.get_http_node(
-                "default-value",
-                [{"key": "result", "type": "string", "value": "http node got error response"}],
-                retry_config={"retry_config": {"max_retries": 2, "retry_interval": 1000, "retry_enabled": True}},
-            ),
-        ],
-    }
-
-    graph_engine = ContinueOnErrorTestHelper.create_test_graph_engine(graph_config)
-    events = list(graph_engine.run())
-    assert sum(1 for e in events if isinstance(e, NodeRunRetryEvent)) == 2
-    assert events[-1].outputs == {"answer": "http node got error response"}
-    assert any(isinstance(e, GraphRunPartialSucceededEvent) for e in events)
-    assert len(events) == 11
-
-
-def test_retry_failed():
-    """retry failed with success status"""
-    graph_config = {
-        "edges": DEFAULT_VALUE_EDGE,
-        "nodes": [
-            {"data": {"title": "start", "type": "start", "variables": []}, "id": "start"},
-            {"data": {"title": "answer", "type": "answer", "answer": "{{#node.result#}}"}, "id": "answer"},
-            ContinueOnErrorTestHelper.get_http_node(
-                None,
-                None,
-                retry_config={"retry_config": {"max_retries": 2, "retry_interval": 1000, "retry_enabled": True}},
-            ),
-        ],
-    }
-    graph_engine = ContinueOnErrorTestHelper.create_test_graph_engine(graph_config)
-    events = list(graph_engine.run())
-    assert sum(1 for e in events if isinstance(e, NodeRunRetryEvent)) == 2
-    assert any(isinstance(e, GraphRunFailedEvent) for e in events)
-    assert len(events) == 8

api/tests/unit_tests/libs/test_oauth_clients.py

@@ -1,8 +1,8 @@
 import urllib.parse
 from unittest.mock import MagicMock, patch
 
+import httpx
 import pytest
-import requests
 
 from libs.oauth import GitHubOAuth, GoogleOAuth, OAuthUserInfo
 
@@ -68,7 +68,7 @@ class TestGitHubOAuth(BaseOAuthTest):
             ({}, None, True),
         ],
     )
-    @patch("requests.post")
+    @patch("httpx.post")
     def test_should_retrieve_access_token(
         self, mock_post, oauth, mock_response, response_data, expected_token, should_raise
     ):
@@ -105,7 +105,7 @@ class TestGitHubOAuth(BaseOAuthTest):
             ),
         ],
     )
-    @patch("requests.get")
+    @patch("httpx.get")
     def test_should_retrieve_user_info_correctly(self, mock_get, oauth, user_data, email_data, expected_email):
         user_response = MagicMock()
         user_response.json.return_value = user_data
@@ -121,11 +121,11 @@ class TestGitHubOAuth(BaseOAuthTest):
         assert user_info.name == user_data["name"]
         assert user_info.email == expected_email
 
-    @patch("requests.get")
+    @patch("httpx.get")
     def test_should_handle_network_errors(self, mock_get, oauth):
-        mock_get.side_effect = requests.exceptions.RequestException("Network error")
+        mock_get.side_effect = httpx.RequestError("Network error")
 
-        with pytest.raises(requests.exceptions.RequestException):
+        with pytest.raises(httpx.RequestError):
             oauth.get_raw_user_info("test_token")
 
 
@@ -167,7 +167,7 @@ class TestGoogleOAuth(BaseOAuthTest):
             ({}, None, True),
         ],
     )
-    @patch("requests.post")
+    @patch("httpx.post")
     def test_should_retrieve_access_token(
         self, mock_post, oauth, oauth_config, mock_response, response_data, expected_token, should_raise
     ):
@@ -201,7 +201,7 @@ class TestGoogleOAuth(BaseOAuthTest):
             ({"sub": "123", "email": "test@example.com", "name": "Test User"}, ""),  # Always returns empty string
         ],
     )
-    @patch("requests.get")
+    @patch("httpx.get")
     def test_should_retrieve_user_info_correctly(self, mock_get, oauth, mock_response, user_data, expected_name):
         mock_response.json.return_value = user_data
         mock_get.return_value = mock_response
@@ -217,12 +217,12 @@ class TestGoogleOAuth(BaseOAuthTest):
     @pytest.mark.parametrize(
         "exception_type",
         [
-            requests.exceptions.HTTPError,
-            requests.exceptions.ConnectionError,
-            requests.exceptions.Timeout,
+            httpx.HTTPError,
+            httpx.ConnectError,
+            httpx.TimeoutException,
         ],
     )
-    @patch("requests.get")
+    @patch("httpx.get")
     def test_should_handle_http_errors(self, mock_get, oauth, exception_type):
         mock_response = MagicMock()
         mock_response.raise_for_status.side_effect = exception_type("Error")

api/tests/unit_tests/models/test_model.py

@@ -0,0 +1,83 @@
+import importlib
+import types
+
+import pytest
+
+from models.model import Message
+
+
+@pytest.fixture(autouse=True)
+def patch_file_helpers(monkeypatch: pytest.MonkeyPatch):
+    """
+    Patch file_helpers.get_signed_file_url to a deterministic stub.
+    """
+    model_module = importlib.import_module("models.model")
+    dummy = types.SimpleNamespace(get_signed_file_url=lambda fid: f"https://signed.example/{fid}")
+    # Inject/override file_helpers on models.model
+    monkeypatch.setattr(model_module, "file_helpers", dummy, raising=False)
+
+
+def _wrap_md(url: str) -> str:
+    """
+    Wrap a raw URL into the markdown that re_sign_file_url_answer expects:
+    [link](<url>)
+    """
+    return f"please click [file]({url}) to download."
+
+
+def test_file_preview_valid_replaced():
+    """
+    Valid file-preview URL must be re-signed:
+    - Extract upload_file_id correctly
+    - Replace the original URL with the signed URL
+    """
+    upload_id = "abc-123"
+    url = f"/files/{upload_id}/file-preview?timestamp=111&nonce=222&sign=333"
+    msg = Message(answer=_wrap_md(url))
+
+    out = msg.re_sign_file_url_answer
+    assert f"https://signed.example/{upload_id}" in out
+    assert url not in out
+
+
+def test_file_preview_misspelled_not_replaced():
+    """
+    Misspelled endpoint 'file-previe?timestamp=' should NOT be rewritten.
+    """
+    upload_id = "zzz-001"
+    # path deliberately misspelled: file-previe? (missing 'w')
+    # and we append &note=file-preview to trick the old `"file-preview" in url` check.
+    url = f"/files/{upload_id}/file-previe?timestamp=111&nonce=222&sign=333&note=file-preview"
+    original = _wrap_md(url)
+    msg = Message(answer=original)
+
+    out = msg.re_sign_file_url_answer
+    # Expect NO replacement, should not rewrite misspelled file-previe URL
+    assert out == original
+
+
+def test_image_preview_valid_replaced():
+    """
+    Valid image-preview URL must be re-signed.
+    """
+    upload_id = "img-789"
+    url = f"/files/{upload_id}/image-preview?timestamp=123&nonce=456&sign=789"
+    msg = Message(answer=_wrap_md(url))
+
+    out = msg.re_sign_file_url_answer
+    assert f"https://signed.example/{upload_id}" in out
+    assert url not in out
+
+
+def test_image_preview_misspelled_not_replaced():
+    """
+    Misspelled endpoint 'image-previe?timestamp=' should NOT be rewritten.
+    """
+    upload_id = "img-err-42"
+    url = f"/files/{upload_id}/image-previe?timestamp=1&nonce=2&sign=3&note=image-preview"
+    original = _wrap_md(url)
+    msg = Message(answer=original)
+
+    out = msg.re_sign_file_url_answer
+    # Expect NO replacement, should not rewrite misspelled image-previe URL
+    assert out == original

api/tests/unit_tests/services/auth/test_auth_integration.py

@@ -6,8 +6,8 @@ import json
 from concurrent.futures import ThreadPoolExecutor
 from unittest.mock import Mock, patch
 
+import httpx
 import pytest
-import requests
 
 from services.auth.api_key_auth_factory import ApiKeyAuthFactory
 from services.auth.api_key_auth_service import ApiKeyAuthService
@@ -26,7 +26,7 @@ class TestAuthIntegration:
         self.watercrawl_credentials = {"auth_type": "x-api-key", "config": {"api_key": "wc_test_key_789"}}
 
     @patch("services.auth.api_key_auth_service.db.session")
-    @patch("services.auth.firecrawl.firecrawl.requests.post")
+    @patch("services.auth.firecrawl.firecrawl.httpx.post")
     @patch("services.auth.api_key_auth_service.encrypter.encrypt_token")
     def test_end_to_end_auth_flow(self, mock_encrypt, mock_http, mock_session):
         """Test complete authentication flow: request → validation → encryption → storage"""
@@ -47,7 +47,7 @@ class TestAuthIntegration:
         mock_session.add.assert_called_once()
         mock_session.commit.assert_called_once()
 
-    @patch("services.auth.firecrawl.firecrawl.requests.post")
+    @patch("services.auth.firecrawl.firecrawl.httpx.post")
     def test_cross_component_integration(self, mock_http):
         """Test factory → provider → HTTP call integration"""
         mock_http.return_value = self._create_success_response()
@@ -97,7 +97,7 @@ class TestAuthIntegration:
         assert "another_secret" not in factory_str
 
     @patch("services.auth.api_key_auth_service.db.session")
-    @patch("services.auth.firecrawl.firecrawl.requests.post")
+    @patch("services.auth.firecrawl.firecrawl.httpx.post")
     @patch("services.auth.api_key_auth_service.encrypter.encrypt_token")
     def test_concurrent_creation_safety(self, mock_encrypt, mock_http, mock_session):
         """Test concurrent authentication creation safety"""
@@ -142,31 +142,31 @@ class TestAuthIntegration:
         with pytest.raises((ValueError, KeyError, TypeError, AttributeError)):
             ApiKeyAuthFactory(AuthType.FIRECRAWL, invalid_input)
 
-    @patch("services.auth.firecrawl.firecrawl.requests.post")
+    @patch("services.auth.firecrawl.firecrawl.httpx.post")
     def test_http_error_handling(self, mock_http):
         """Test proper HTTP error handling"""
         mock_response = Mock()
         mock_response.status_code = 401
         mock_response.text = '{"error": "Unauthorized"}'
-        mock_response.raise_for_status.side_effect = requests.exceptions.HTTPError("Unauthorized")
+        mock_response.raise_for_status.side_effect = httpx.HTTPError("Unauthorized")
         mock_http.return_value = mock_response
 
         # PT012: Split into single statement for pytest.raises
         factory = ApiKeyAuthFactory(AuthType.FIRECRAWL, self.firecrawl_credentials)
-        with pytest.raises((requests.exceptions.HTTPError, Exception)):
+        with pytest.raises((httpx.HTTPError, Exception)):
             factory.validate_credentials()
 
     @patch("services.auth.api_key_auth_service.db.session")
-    @patch("services.auth.firecrawl.firecrawl.requests.post")
+    @patch("services.auth.firecrawl.firecrawl.httpx.post")
     def test_network_failure_recovery(self, mock_http, mock_session):
         """Test system recovery from network failures"""
-        mock_http.side_effect = requests.exceptions.RequestException("Network timeout")
+        mock_http.side_effect = httpx.RequestError("Network timeout")
         mock_session.add = Mock()
         mock_session.commit = Mock()
 
         args = {"category": self.category, "provider": AuthType.FIRECRAWL, "credentials": self.firecrawl_credentials}
 
-        with pytest.raises(requests.exceptions.RequestException):
+        with pytest.raises(httpx.RequestError):
             ApiKeyAuthService.create_provider_auth(self.tenant_id_1, args)
 
         mock_session.commit.assert_not_called()

api/tests/unit_tests/services/auth/test_firecrawl_auth.py

@@ -1,7 +1,7 @@
 from unittest.mock import MagicMock, patch
 
+import httpx
 import pytest
-import requests
 
 from services.auth.firecrawl.firecrawl import FirecrawlAuth
 
@@ -64,7 +64,7 @@ class TestFirecrawlAuth:
             FirecrawlAuth(credentials)
         assert str(exc_info.value) == expected_error
 
-    @patch("services.auth.firecrawl.firecrawl.requests.post")
+    @patch("services.auth.firecrawl.firecrawl.httpx.post")
     def test_should_validate_valid_credentials_successfully(self, mock_post, auth_instance):
         """Test successful credential validation"""
         mock_response = MagicMock()
@@ -95,7 +95,7 @@ class TestFirecrawlAuth:
             (500, "Internal server error"),
         ],
     )
-    @patch("services.auth.firecrawl.firecrawl.requests.post")
+    @patch("services.auth.firecrawl.firecrawl.httpx.post")
     def test_should_handle_http_errors(self, mock_post, status_code, error_message, auth_instance):
         """Test handling of various HTTP error codes"""
         mock_response = MagicMock()
@@ -115,7 +115,7 @@ class TestFirecrawlAuth:
             (401, "Not JSON", True, "Expecting value"),  # JSON decode error
         ],
     )
-    @patch("services.auth.firecrawl.firecrawl.requests.post")
+    @patch("services.auth.firecrawl.firecrawl.httpx.post")
     def test_should_handle_unexpected_errors(
         self, mock_post, status_code, response_text, has_json_error, expected_error_contains, auth_instance
     ):
@@ -134,13 +134,13 @@ class TestFirecrawlAuth:
     @pytest.mark.parametrize(
         ("exception_type", "exception_message"),
         [
-            (requests.ConnectionError, "Network error"),
-            (requests.Timeout, "Request timeout"),
-            (requests.ReadTimeout, "Read timeout"),
-            (requests.ConnectTimeout, "Connection timeout"),
+            (httpx.ConnectError, "Network error"),
+            (httpx.TimeoutException, "Request timeout"),
+            (httpx.ReadTimeout, "Read timeout"),
+            (httpx.ConnectTimeout, "Connection timeout"),
         ],
     )
-    @patch("services.auth.firecrawl.firecrawl.requests.post")
+    @patch("services.auth.firecrawl.firecrawl.httpx.post")
     def test_should_handle_network_errors(self, mock_post, exception_type, exception_message, auth_instance):
         """Test handling of various network-related errors including timeouts"""
         mock_post.side_effect = exception_type(exception_message)
@@ -162,7 +162,7 @@ class TestFirecrawlAuth:
             FirecrawlAuth({"auth_type": "basic", "config": {"api_key": "super_secret_key_12345"}})
         assert "super_secret_key_12345" not in str(exc_info.value)
 
-    @patch("services.auth.firecrawl.firecrawl.requests.post")
+    @patch("services.auth.firecrawl.firecrawl.httpx.post")
     def test_should_use_custom_base_url_in_validation(self, mock_post):
         """Test that custom base URL is used in validation"""
         mock_response = MagicMock()
@@ -179,12 +179,12 @@ class TestFirecrawlAuth:
         assert result is True
         assert mock_post.call_args[0][0] == "https://custom.firecrawl.dev/v1/crawl"
 
-    @patch("services.auth.firecrawl.firecrawl.requests.post")
+    @patch("services.auth.firecrawl.firecrawl.httpx.post")
     def test_should_handle_timeout_with_retry_suggestion(self, mock_post, auth_instance):
         """Test that timeout errors are handled gracefully with appropriate error message"""
-        mock_post.side_effect = requests.Timeout("The request timed out after 30 seconds")
+        mock_post.side_effect = httpx.TimeoutException("The request timed out after 30 seconds")
 
-        with pytest.raises(requests.Timeout) as exc_info:
+        with pytest.raises(httpx.TimeoutException) as exc_info:
             auth_instance.validate_credentials()
 
         # Verify the timeout exception is raised with original message

api/tests/unit_tests/services/auth/test_jina_auth.py

@@ -1,7 +1,7 @@
 from unittest.mock import MagicMock, patch
 
+import httpx
 import pytest
-import requests
 
 from services.auth.jina.jina import JinaAuth
 
@@ -35,7 +35,7 @@ class TestJinaAuth:
             JinaAuth(credentials)
         assert str(exc_info.value) == "No API key provided"
 
-    @patch("services.auth.jina.jina.requests.post")
+    @patch("services.auth.jina.jina.httpx.post")
     def test_should_validate_valid_credentials_successfully(self, mock_post):
         """Test successful credential validation"""
         mock_response = MagicMock()
@@ -53,7 +53,7 @@ class TestJinaAuth:
             json={"url": "https://example.com"},
         )
 
-    @patch("services.auth.jina.jina.requests.post")
+    @patch("services.auth.jina.jina.httpx.post")
     def test_should_handle_http_402_error(self, mock_post):
         """Test handling of 402 Payment Required error"""
         mock_response = MagicMock()
@@ -68,7 +68,7 @@ class TestJinaAuth:
             auth.validate_credentials()
         assert str(exc_info.value) == "Failed to authorize. Status code: 402. Error: Payment required"
 
-    @patch("services.auth.jina.jina.requests.post")
+    @patch("services.auth.jina.jina.httpx.post")
     def test_should_handle_http_409_error(self, mock_post):
         """Test handling of 409 Conflict error"""
         mock_response = MagicMock()
@@ -83,7 +83,7 @@ class TestJinaAuth:
             auth.validate_credentials()
         assert str(exc_info.value) == "Failed to authorize. Status code: 409. Error: Conflict error"
 
-    @patch("services.auth.jina.jina.requests.post")
+    @patch("services.auth.jina.jina.httpx.post")
     def test_should_handle_http_500_error(self, mock_post):
         """Test handling of 500 Internal Server Error"""
         mock_response = MagicMock()
@@ -98,7 +98,7 @@ class TestJinaAuth:
             auth.validate_credentials()
         assert str(exc_info.value) == "Failed to authorize. Status code: 500. Error: Internal server error"
 
-    @patch("services.auth.jina.jina.requests.post")
+    @patch("services.auth.jina.jina.httpx.post")
     def test_should_handle_unexpected_error_with_text_response(self, mock_post):
         """Test handling of unexpected errors with text response"""
         mock_response = MagicMock()
@@ -114,7 +114,7 @@ class TestJinaAuth:
             auth.validate_credentials()
         assert str(exc_info.value) == "Failed to authorize. Status code: 403. Error: Forbidden"
 
-    @patch("services.auth.jina.jina.requests.post")
+    @patch("services.auth.jina.jina.httpx.post")
     def test_should_handle_unexpected_error_without_text(self, mock_post):
         """Test handling of unexpected errors without text response"""
         mock_response = MagicMock()
@@ -130,15 +130,15 @@ class TestJinaAuth:
             auth.validate_credentials()
         assert str(exc_info.value) == "Unexpected error occurred while trying to authorize. Status code: 404"
 
-    @patch("services.auth.jina.jina.requests.post")
+    @patch("services.auth.jina.jina.httpx.post")
     def test_should_handle_network_errors(self, mock_post):
         """Test handling of network connection errors"""
-        mock_post.side_effect = requests.ConnectionError("Network error")
+        mock_post.side_effect = httpx.ConnectError("Network error")
 
         credentials = {"auth_type": "bearer", "config": {"api_key": "test_api_key_123"}}
         auth = JinaAuth(credentials)
 
-        with pytest.raises(requests.ConnectionError):
+        with pytest.raises(httpx.ConnectError):
             auth.validate_credentials()
 
     def test_should_not_expose_api_key_in_error_messages(self):

api/tests/unit_tests/services/auth/test_watercrawl_auth.py

@@ -1,7 +1,7 @@
 from unittest.mock import MagicMock, patch
 
+import httpx
 import pytest
-import requests
 
 from services.auth.watercrawl.watercrawl import WatercrawlAuth
 
@@ -64,7 +64,7 @@ class TestWatercrawlAuth:
             WatercrawlAuth(credentials)
         assert str(exc_info.value) == expected_error
 
-    @patch("services.auth.watercrawl.watercrawl.requests.get")
+    @patch("services.auth.watercrawl.watercrawl.httpx.get")
     def test_should_validate_valid_credentials_successfully(self, mock_get, auth_instance):
         """Test successful credential validation"""
         mock_response = MagicMock()
@@ -87,7 +87,7 @@ class TestWatercrawlAuth:
             (500, "Internal server error"),
         ],
     )
-    @patch("services.auth.watercrawl.watercrawl.requests.get")
+    @patch("services.auth.watercrawl.watercrawl.httpx.get")
     def test_should_handle_http_errors(self, mock_get, status_code, error_message, auth_instance):
         """Test handling of various HTTP error codes"""
         mock_response = MagicMock()
@@ -107,7 +107,7 @@ class TestWatercrawlAuth:
             (401, "Not JSON", True, "Expecting value"),  # JSON decode error
         ],
     )
-    @patch("services.auth.watercrawl.watercrawl.requests.get")
+    @patch("services.auth.watercrawl.watercrawl.httpx.get")
     def test_should_handle_unexpected_errors(
         self, mock_get, status_code, response_text, has_json_error, expected_error_contains, auth_instance
     ):
@@ -126,13 +126,13 @@ class TestWatercrawlAuth:
     @pytest.mark.parametrize(
         ("exception_type", "exception_message"),
         [
-            (requests.ConnectionError, "Network error"),
-            (requests.Timeout, "Request timeout"),
-            (requests.ReadTimeout, "Read timeout"),
-            (requests.ConnectTimeout, "Connection timeout"),
+            (httpx.ConnectError, "Network error"),
+            (httpx.TimeoutException, "Request timeout"),
+            (httpx.ReadTimeout, "Read timeout"),
+            (httpx.ConnectTimeout, "Connection timeout"),
         ],
     )
-    @patch("services.auth.watercrawl.watercrawl.requests.get")
+    @patch("services.auth.watercrawl.watercrawl.httpx.get")
     def test_should_handle_network_errors(self, mock_get, exception_type, exception_message, auth_instance):
         """Test handling of various network-related errors including timeouts"""
         mock_get.side_effect = exception_type(exception_message)
@@ -154,7 +154,7 @@ class TestWatercrawlAuth:
             WatercrawlAuth({"auth_type": "bearer", "config": {"api_key": "super_secret_key_12345"}})
         assert "super_secret_key_12345" not in str(exc_info.value)
 
-    @patch("services.auth.watercrawl.watercrawl.requests.get")
+    @patch("services.auth.watercrawl.watercrawl.httpx.get")
     def test_should_use_custom_base_url_in_validation(self, mock_get):
         """Test that custom base URL is used in validation"""
         mock_response = MagicMock()
@@ -179,7 +179,7 @@ class TestWatercrawlAuth:
             ("https://app.watercrawl.dev//", "https://app.watercrawl.dev/api/v1/core/crawl-requests/"),
         ],
     )
-    @patch("services.auth.watercrawl.watercrawl.requests.get")
+    @patch("services.auth.watercrawl.watercrawl.httpx.get")
     def test_should_use_urljoin_for_url_construction(self, mock_get, base_url, expected_url):
         """Test that urljoin is used correctly for URL construction with various base URLs"""
         mock_response = MagicMock()
@@ -193,12 +193,12 @@ class TestWatercrawlAuth:
         # Verify the correct URL was called
         assert mock_get.call_args[0][0] == expected_url
 
-    @patch("services.auth.watercrawl.watercrawl.requests.get")
+    @patch("services.auth.watercrawl.watercrawl.httpx.get")
     def test_should_handle_timeout_with_retry_suggestion(self, mock_get, auth_instance):
         """Test that timeout errors are handled gracefully with appropriate error message"""
-        mock_get.side_effect = requests.Timeout("The request timed out after 30 seconds")
+        mock_get.side_effect = httpx.TimeoutException("The request timed out after 30 seconds")
 
-        with pytest.raises(requests.Timeout) as exc_info:
+        with pytest.raises(httpx.TimeoutException) as exc_info:
             auth_instance.validate_credentials()
 
         # Verify the timeout exception is raised with original message

api/uv.lock

@@ -404,14 +404,14 @@ wheels = [
 
 [[package]]
 name = "authlib"
-version = "1.3.1"
+version = "1.6.4"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "cryptography" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/09/47/df70ecd34fbf86d69833fe4e25bb9ecbaab995c8e49df726dd416f6bb822/authlib-1.3.1.tar.gz", hash = "sha256:7ae843f03c06c5c0debd63c9db91f9fda64fa62a42a77419fa15fbb7e7a58917", size = 146074, upload-time = "2024-06-04T14:15:32.06Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/ce/bb/73a1f1c64ee527877f64122422dafe5b87a846ccf4ac933fe21bcbb8fee8/authlib-1.6.4.tar.gz", hash = "sha256:104b0442a43061dc8bc23b133d1d06a2b0a9c2e3e33f34c4338929e816287649", size = 164046, upload-time = "2025-09-17T09:59:23.897Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/87/1f/bc95e43ffb57c05b8efcc376dd55a0240bf58f47ddf5a0f92452b6457b75/Authlib-1.3.1-py2.py3-none-any.whl", hash = "sha256:d35800b973099bbadc49b42b256ecb80041ad56b7fe1216a362c7943c088f377", size = 223827, upload-time = "2024-06-04T14:15:29.218Z" },
+    { url = "https://files.pythonhosted.org/packages/0e/aa/91355b5f539caf1b94f0e66ff1e4ee39373b757fce08204981f7829ede51/authlib-1.6.4-py2.py3-none-any.whl", hash = "sha256:39313d2a2caac3ecf6d8f95fbebdfd30ae6ea6ae6a6db794d976405fdd9aa796", size = 243076, upload-time = "2025-09-17T09:59:22.259Z" },
 ]
 
 [[package]]
@@ -544,15 +544,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/57/f4/a69c20ee4f660081a7dedb1ac57f29be9378e04edfcb90c526b923d4bebc/beautifulsoup4-4.12.2-py3-none-any.whl", hash = "sha256:bd2520ca0d9d7d12694a53d44ac482d181b4ec1888909b035a3dbf40d0f57d4a", size = 142979, upload-time = "2023-04-07T15:02:50.77Z" },
 ]
 
-[[package]]
-name = "bidict"
-version = "0.23.1"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/9a/6e/026678aa5a830e07cd9498a05d3e7e650a4f56a42f267a53d22bcda1bdc9/bidict-0.23.1.tar.gz", hash = "sha256:03069d763bc387bbd20e7d49914e75fc4132a41937fa3405417e1a5a2d006d71", size = 29093, upload-time = "2024-02-18T19:09:05.748Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/99/37/e8730c3587a65eb5645d4aba2d27aae48e8003614d6aaf15dda67f702f1f/bidict-0.23.1-py3-none-any.whl", hash = "sha256:5dae8d4d79b552a71cbabc7deb25dfe8ce710b17ff41711e13010ead2abfc3e5", size = 32764, upload-time = "2024-02-18T19:09:04.156Z" },
-]
-
 [[package]]
 name = "billiard"
 version = "4.2.1"
@@ -587,16 +578,16 @@ wheels = [
 
 [[package]]
 name = "boto3-stubs"
-version = "1.40.29"
+version = "1.40.35"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "botocore-stubs" },
     { name = "types-s3transfer" },
     { name = "typing-extensions", marker = "python_full_version < '3.12'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/dd/35/0cdc62641577e8a0a6d4191ecc803fee16adf18de1e81280eb3d87c7d9e8/boto3_stubs-1.40.29.tar.gz", hash = "sha256:9fc7d24dcbcc786093daf42487a9ed4a58a6be7f1ccf28f5be0b2bad4a3edb11", size = 100996, upload-time = "2025-09-11T19:48:28.487Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/24/18/6a64ff9603845d635f6167b6d9a3f9a6e658d8a28eef36f8423eb5a99ae1/boto3_stubs-1.40.35.tar.gz", hash = "sha256:2d6f2dbe6e9b42deb7b8fbeed051461e7906903f26e99634d00be45cc40db41a", size = 100819, upload-time = "2025-09-19T19:42:36.372Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/7b/a2/e47bf7595fadc6154ff2941e9ab9bb68173fba95f5ccdb24e5c13d16e5e5/boto3_stubs-1.40.29-py3-none-any.whl", hash = "sha256:1ad373b68b1c9a5e8e5deb243ef3a4c5b1d2c25c3477559eba1089ed4a0ee94e", size = 69769, upload-time = "2025-09-11T19:48:20.453Z" },
+    { url = "https://files.pythonhosted.org/packages/7a/d4/d744260908ad55903baefa086a3c9cabc50bfafd63c3f2d0e05688378013/boto3_stubs-1.40.35-py3-none-any.whl", hash = "sha256:2bb44e6c17831650a28e3e00bf5be0a6ba771fce08724ba978ffcd06a7bca7e3", size = 69689, upload-time = "2025-09-19T19:42:30.08Z" },
 ]
 
 [package.optional-dependencies]
@@ -1083,15 +1074,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/a7/06/3d6badcf13db419e25b07041d9c7b4a2c331d3f4e7134445ec5df57714cd/coloredlogs-15.0.1-py2.py3-none-any.whl", hash = "sha256:612ee75c546f53e92e70049c9dbfcc18c935a2b9a53b66085ce9ef6a6e5c0934", size = 46018, upload-time = "2021-06-11T10:22:42.561Z" },
 ]
 
-[[package]]
-name = "configargparse"
-version = "1.7.1"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/85/4d/6c9ef746dfcc2a32e26f3860bb4a011c008c392b83eabdfb598d1a8bbe5d/configargparse-1.7.1.tar.gz", hash = "sha256:79c2ddae836a1e5914b71d58e4b9adbd9f7779d4e6351a637b7d2d9b6c46d3d9", size = 43958, upload-time = "2025-05-23T14:26:17.369Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/31/28/d28211d29bcc3620b1fece85a65ce5bb22f18670a03cd28ea4b75ede270c/configargparse-1.7.1-py3-none-any.whl", hash = "sha256:8b586a31f9d873abd1ca527ffbe58863c99f36d896e2829779803125e83be4b6", size = 25607, upload-time = "2025-05-23T14:26:15.923Z" },
-]
-
 [[package]]
 name = "cos-python-sdk-v5"
 version = "1.9.30"
@@ -1291,7 +1273,7 @@ wheels = [
 
 [[package]]
 name = "dify-api"
-version = "2.0.0-beta2"
+version = "1.9.0"
 source = { virtual = "." }
 dependencies = [
     { name = "arize-phoenix-otel" },
@@ -1389,7 +1371,6 @@ dev = [
     { name = "faker" },
     { name = "hypothesis" },
     { name = "import-linter" },
-    { name = "locust" },
     { name = "lxml-stubs" },
     { name = "mypy" },
     { name = "pandas-stubs" },
@@ -1490,7 +1471,7 @@ vdb = [
 [package.metadata]
 requires-dist = [
     { name = "arize-phoenix-otel", specifier = "~=0.9.2" },
-    { name = "authlib", specifier = "==1.3.1" },
+    { name = "authlib", specifier = "==1.6.4" },
     { name = "azure-identity", specifier = "==1.16.1" },
     { name = "beautifulsoup4", specifier = "==4.12.2" },
     { name = "boto3", specifier = "==1.35.99" },
@@ -1506,7 +1487,7 @@ requires-dist = [
     { name = "flask-orjson", specifier = "~=2.0.0" },
     { name = "flask-restx", specifier = "~=1.3.0" },
     { name = "flask-sqlalchemy", specifier = "~=3.1.1" },
-    { name = "gevent", specifier = "~=24.11.1" },
+    { name = "gevent", specifier = "~=25.9.1" },
     { name = "gmpy2", specifier = "~=2.2.1" },
     { name = "google-api-core", specifier = "==2.18.0" },
     { name = "google-api-python-client", specifier = "==2.90.0" },
@@ -1584,7 +1565,6 @@ dev = [
     { name = "faker", specifier = "~=32.1.0" },
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docker/.env.example

@@ -635,6 +635,8 @@ BAIDU_VECTOR_DB_API_KEY=dify
 BAIDU_VECTOR_DB_DATABASE=dify
 BAIDU_VECTOR_DB_SHARD=1
 BAIDU_VECTOR_DB_REPLICAS=3
+BAIDU_VECTOR_DB_INVERTED_INDEX_ANALYZER=DEFAULT_ANALYZER
+BAIDU_VECTOR_DB_INVERTED_INDEX_PARSER_MODE=COARSE_MODE
 
 # VikingDB configurations, only available when VECTOR_STORE is `vikingdb`
 VIKINGDB_ACCESS_KEY=your-ak
@@ -661,6 +663,7 @@ OCEANBASE_VECTOR_DATABASE=test
 OCEANBASE_CLUSTER_NAME=difyai
 OCEANBASE_MEMORY_LIMIT=6G
 OCEANBASE_ENABLE_HYBRID_SEARCH=false
+OCEANBASE_FULLTEXT_PARSER=ik
 
 # opengauss configurations, only available when VECTOR_STORE is `opengauss`
 OPENGAUSS_HOST=opengauss

docker/docker-compose-template.yaml

@@ -2,7 +2,7 @@ x-shared-env: &shared-api-worker-env
 services:
   # API service
   api:
-    image: langgenius/dify-api:2.0.0-beta.2
+    image: langgenius/dify-api:1.9.0
     restart: always
     environment:
       # Use the shared environment variables.
@@ -31,7 +31,7 @@ services:
   # worker service
   # The Celery worker for processing the queue.
   worker:
-    image: langgenius/dify-api:2.0.0-beta.2
+    image: langgenius/dify-api:1.9.0
     restart: always
     environment:
       # Use the shared environment variables.
@@ -58,7 +58,7 @@ services:
   # worker_beat service
   # Celery beat for scheduling periodic tasks.
   worker_beat:
-    image: langgenius/dify-api:2.0.0-beta.2
+    image: langgenius/dify-api:1.9.0
     restart: always
     environment:
       # Use the shared environment variables.
@@ -76,7 +76,7 @@ services:
 
   # Frontend web application.
   web:
-    image: langgenius/dify-web:2.0.0-beta.2
+    image: langgenius/dify-web:1.9.0
     restart: always
     environment:
       CONSOLE_API_URL: ${CONSOLE_API_URL:-}
@@ -177,7 +177,7 @@ services:
 
   # plugin daemon
   plugin_daemon:
-    image: langgenius/dify-plugin-daemon:0.3.0b1-local
+    image: langgenius/dify-plugin-daemon:0.3.0-local
     restart: always
     environment:
       # Use the shared environment variables.
@@ -504,6 +504,7 @@ services:
       OB_CLUSTER_NAME: ${OCEANBASE_CLUSTER_NAME:-difyai}
       OB_SERVER_IP: 127.0.0.1
       MODE: mini
+      LANG: en_US.UTF-8
     ports:
       - "${OCEANBASE_VECTOR_PORT:-2881}:2881"
     healthcheck:

docker/docker-compose.middleware.yaml

@@ -20,7 +20,17 @@ services:
     ports:
       - "${EXPOSE_POSTGRES_PORT:-5432}:5432"
     healthcheck:
-      test: [ 'CMD', 'pg_isready', '-h', 'db', '-U', '${PGUSER:-postgres}', '-d', '${POSTGRES_DB:-dify}' ]
+      test:
+        [
+          "CMD",
+          "pg_isready",
+          "-h",
+          "db",
+          "-U",
+          "${PGUSER:-postgres}",
+          "-d",
+          "${POSTGRES_DB:-dify}",
+        ]
       interval: 1s
       timeout: 3s
       retries: 30
@@ -41,7 +51,11 @@ services:
     ports:
       - "${EXPOSE_REDIS_PORT:-6379}:6379"
     healthcheck:
-      test: [ 'CMD-SHELL', 'redis-cli -a ${REDIS_PASSWORD:-difyai123456} ping | grep -q PONG' ]
+      test:
+        [
+          "CMD-SHELL",
+          "redis-cli -a ${REDIS_PASSWORD:-difyai123456} ping | grep -q PONG",
+        ]
 
   # The DifySandbox
   sandbox:
@@ -65,13 +79,13 @@ services:
       - ./volumes/sandbox/dependencies:/dependencies
       - ./volumes/sandbox/conf:/conf
     healthcheck:
-      test: [ "CMD", "curl", "-f", "http://localhost:8194/health" ]
+      test: ["CMD", "curl", "-f", "http://localhost:8194/health"]
     networks:
       - ssrf_proxy_network
 
   # plugin daemon
   plugin_daemon:
-    image: langgenius/dify-plugin-daemon:0.3.0b1-local
+    image: langgenius/dify-plugin-daemon:0.3.0-local
     restart: always
     env_file:
       - ./middleware.env
@@ -143,7 +157,12 @@ services:
     volumes:
       - ./ssrf_proxy/squid.conf.template:/etc/squid/squid.conf.template
       - ./ssrf_proxy/docker-entrypoint.sh:/docker-entrypoint-mount.sh
-    entrypoint: [ "sh", "-c", "cp /docker-entrypoint-mount.sh /docker-entrypoint.sh && sed -i 's/\r$$//' /docker-entrypoint.sh && chmod +x /docker-entrypoint.sh && /docker-entrypoint.sh" ]
+    entrypoint:
+      [
+        "sh",
+        "-c",
+        "cp /docker-entrypoint-mount.sh /docker-entrypoint.sh && sed -i 's/\r$$//' /docker-entrypoint.sh && chmod +x /docker-entrypoint.sh && /docker-entrypoint.sh",
+      ]
     env_file:
       - ./middleware.env
     environment:

docker/docker-compose.yaml

@@ -286,6 +286,8 @@ x-shared-env: &shared-api-worker-env
   BAIDU_VECTOR_DB_DATABASE: ${BAIDU_VECTOR_DB_DATABASE:-dify}
   BAIDU_VECTOR_DB_SHARD: ${BAIDU_VECTOR_DB_SHARD:-1}
   BAIDU_VECTOR_DB_REPLICAS: ${BAIDU_VECTOR_DB_REPLICAS:-3}
+  BAIDU_VECTOR_DB_INVERTED_INDEX_ANALYZER: ${BAIDU_VECTOR_DB_INVERTED_INDEX_ANALYZER:-DEFAULT_ANALYZER}
+  BAIDU_VECTOR_DB_INVERTED_INDEX_PARSER_MODE: ${BAIDU_VECTOR_DB_INVERTED_INDEX_PARSER_MODE:-COARSE_MODE}
   VIKINGDB_ACCESS_KEY: ${VIKINGDB_ACCESS_KEY:-your-ak}
   VIKINGDB_SECRET_KEY: ${VIKINGDB_SECRET_KEY:-your-sk}
   VIKINGDB_REGION: ${VIKINGDB_REGION:-cn-shanghai}
@@ -306,6 +308,7 @@ x-shared-env: &shared-api-worker-env
   OCEANBASE_CLUSTER_NAME: ${OCEANBASE_CLUSTER_NAME:-difyai}
   OCEANBASE_MEMORY_LIMIT: ${OCEANBASE_MEMORY_LIMIT:-6G}
   OCEANBASE_ENABLE_HYBRID_SEARCH: ${OCEANBASE_ENABLE_HYBRID_SEARCH:-false}
+  OCEANBASE_FULLTEXT_PARSER: ${OCEANBASE_FULLTEXT_PARSER:-ik}
   OPENGAUSS_HOST: ${OPENGAUSS_HOST:-opengauss}
   OPENGAUSS_PORT: ${OPENGAUSS_PORT:-6600}
   OPENGAUSS_USER: ${OPENGAUSS_USER:-postgres}
@@ -590,7 +593,7 @@ x-shared-env: &shared-api-worker-env
 services:
   # API service
   api:
-    image: langgenius/dify-api:2.0.0-beta.2
+    image: langgenius/dify-api:1.9.0
     restart: always
     environment:
       # Use the shared environment variables.
@@ -619,7 +622,7 @@ services:
   # worker service
   # The Celery worker for processing the queue.
   worker:
-    image: langgenius/dify-api:2.0.0-beta.2
+    image: langgenius/dify-api:1.9.0
     restart: always
     environment:
       # Use the shared environment variables.
@@ -646,7 +649,7 @@ services:
   # worker_beat service
   # Celery beat for scheduling periodic tasks.
   worker_beat:
-    image: langgenius/dify-api:2.0.0-beta.2
+    image: langgenius/dify-api:1.9.0
     restart: always
     environment:
       # Use the shared environment variables.
@@ -664,7 +667,7 @@ services:
 
   # Frontend web application.
   web:
-    image: langgenius/dify-web:2.0.0-beta.2
+    image: langgenius/dify-web:1.9.0
     restart: always
     environment:
       CONSOLE_API_URL: ${CONSOLE_API_URL:-}
@@ -765,7 +768,7 @@ services:
 
   # plugin daemon
   plugin_daemon:
-    image: langgenius/dify-plugin-daemon:0.3.0b1-local
+    image: langgenius/dify-plugin-daemon:0.3.0-local
     restart: always
     environment:
       # Use the shared environment variables.
@@ -1092,6 +1095,7 @@ services:
       OB_CLUSTER_NAME: ${OCEANBASE_CLUSTER_NAME:-difyai}
       OB_SERVER_IP: 127.0.0.1
       MODE: mini
+      LANG: en_US.UTF-8
     ports:
       - "${OCEANBASE_VECTOR_PORT:-2881}:2881"
     healthcheck:

spec.http

@@ -1,4 +0,0 @@
-GET /console/api/spec/schema-definitions
-Host: cloud-rag.dify.dev
-authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1c2VyX2lkIjoiNzExMDZhYTQtZWJlMC00NGMzLWI4NWYtMWQ4Mjc5ZTExOGZmIiwiZXhwIjoxNzU2MTkyNDE4LCJpc3MiOiJDTE9VRCIsInN1YiI6IkNvbnNvbGUgQVBJIFBhc3Nwb3J0In0.Yx_TMdWVXCp5YEoQ8WR90lRhHHKggxAQvEl5RUnkZuc
-###

web/app/components/app/configuration/index.tsx

@@ -464,6 +464,7 @@ const Configuration: FC = () => {
         provider,
         modelId,
         completionParams,
+        isAdvancedMode,
       )
       if (Object.keys(removedDetails).length)
         Toast.notify({ type: 'warning', message: `${t('common.modelProvider.parametersInvalidRemoved')}: ${Object.entries(removedDetails).map(([k, reason]) => `${k} (${reason})`).join(', ')}` })

web/app/components/base/chat/chat-with-history/hooks.tsx

@@ -122,19 +122,31 @@ export const useChatWithHistory = (installedAppInfo?: InstalledApp) => {
     setLocaleFromProps()
   }, [appData])
 
-  const [sidebarCollapseState, setSidebarCollapseState] = useState<boolean>(false)
+  const [sidebarCollapseState, setSidebarCollapseState] = useState<boolean>(() => {
+    if (typeof window !== 'undefined') {
+      try {
+        const localState = localStorage.getItem('webappSidebarCollapse')
+        return localState === 'collapsed'
+      }
+      catch (e) {
+        // localStorage may be disabled in private browsing mode or by security settings
+        // fallback to default value
+        return false
+      }
+    }
+    return false
+  })
   const handleSidebarCollapse = useCallback((state: boolean) => {
     if (appId) {
       setSidebarCollapseState(state)
-      localStorage.setItem('webappSidebarCollapse', state ? 'collapsed' : 'expanded')
+      try {
+        localStorage.setItem('webappSidebarCollapse', state ? 'collapsed' : 'expanded')
+      }
+      catch (e) {
+        // localStorage may be disabled, continue without persisting state
+      }
     }
   }, [appId, setSidebarCollapseState])
-  useEffect(() => {
-    if (appId) {
-      const localState = localStorage.getItem('webappSidebarCollapse')
-      setSidebarCollapseState(localState === 'collapsed')
-    }
-  }, [appId])
   const [conversationIdInfo, setConversationIdInfo] = useLocalStorageState<Record<string, Record<string, string>>>(CONVERSATION_ID_INFO, {
     defaultValue: {},
   })

web/app/components/base/chat/chat-with-history/index.tsx

@@ -47,6 +47,11 @@ const ChatWithHistory: FC<ChatWithHistoryProps> = ({
     themeBuilder?.buildTheme(site?.chat_color_theme, site?.chat_color_theme_inverted)
   }, [site, customConfig, themeBuilder])
 
+  useEffect(() => {
+    if (!isSidebarCollapsed)
+      setShowSidePanel(false)
+  }, [isSidebarCollapsed])
+
   useDocumentTitle(site?.title || 'Chat')
 
   return (
@@ -76,7 +81,7 @@ const ChatWithHistory: FC<ChatWithHistoryProps> = ({
             onMouseEnter={() => setShowSidePanel(true)}
             onMouseLeave={() => setShowSidePanel(false)}
           >
-            <Sidebar isPanel />
+            <Sidebar isPanel panelVisible={showSidePanel} />
           </div>
         )}
         <div className={cn('flex h-full flex-col overflow-hidden border-[0,5px] border-components-panel-border-subtle bg-chatbot-bg', isMobile ? 'rounded-t-2xl' : 'rounded-2xl')}>

web/app/components/base/chat/chat-with-history/sidebar/index.tsx

@@ -23,9 +23,10 @@ import { useGlobalPublicStore } from '@/context/global-public-context'
 
 type Props = {
   isPanel?: boolean
+  panelVisible?: boolean
 }
 
-const Sidebar = ({ isPanel }: Props) => {
+const Sidebar = ({ isPanel, panelVisible }: Props) => {
   const { t } = useTranslation()
   const {
     isInstalledApp,
@@ -138,7 +139,12 @@ const Sidebar = ({ isPanel }: Props) => {
         )}
       </div>
       <div className='flex shrink-0 items-center justify-between p-3'>
-        <MenuDropdown hideLogout={isInstalledApp} placement='top-start' data={appData?.site} />
+        <MenuDropdown
+          hideLogout={isInstalledApp}
+          placement='top-start'
+          data={appData?.site}
+          forceClose={isPanel && !panelVisible}
+        />
         {/* powered by */}
         <div className='shrink-0'>
           {!appData?.custom_config?.remove_webapp_brand && (