merge

.github/workflows/api-tests.yml

@@ -4,6 +4,7 @@ on:
   pull_request:
     branches:
       - main
+      - plugins/beta
     paths:
       - api/**
       - docker/**
@@ -47,15 +48,9 @@ jobs:
       - name: Run Unit tests
         run: poetry run -C api bash dev/pytest/pytest_unit_tests.sh
 
-      - name: Run ModelRuntime
-        run: poetry run -C api bash dev/pytest/pytest_model_runtime.sh
-
       - name: Run dify config tests
         run: poetry run -C api python dev/pytest/pytest_config_tests.py
 
-      - name: Run Tool
-        run: poetry run -C api bash dev/pytest/pytest_tools.sh
-
       - name: Run mypy
         run: |
           pushd api

.github/workflows/build-push.yml

@@ -5,7 +5,7 @@ on:
     branches:
       - "main"
       - "deploy/dev"
-      - "dev/plugin-deploy"
+      - "plugins/beta"
   release:
     types: [published]
 

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

@@ -4,6 +4,7 @@ on:
   pull_request:
     branches:
       - main
+      - plugins/beta
     paths:
       - api/migrations/**
       - .github/workflows/db-migration-test.yml

.github/workflows/style.yml

@@ -4,6 +4,7 @@ on:
   pull_request:
     branches:
       - main
+      - plugins/beta
 
 concurrency:
   group: style-${{ github.head_ref || github.run_id }}
@@ -66,6 +67,12 @@ jobs:
         with:
           files: web/**
 
+      - name: Install pnpm
+        uses: pnpm/action-setup@v4
+        with:
+          version: 10
+          run_install: false
+
       - name: Setup NodeJS
         uses: actions/setup-node@v4
         if: steps.changed-files.outputs.any_changed == 'true'
@@ -80,7 +87,8 @@ jobs:
 
       - name: Web style check
         if: steps.changed-files.outputs.any_changed == 'true'
-        run: pnpm run lint
+        run: echo "${{ steps.changed-files.outputs.all_changed_files }}" | sed 's|web/||g' | xargs pnpm eslint # wait for next lint support eslint v9
+
 
   docker-compose-template:
     name: Docker Compose Template
@@ -134,7 +142,7 @@ jobs:
         if: steps.changed-files.outputs.any_changed == 'true'
         env:
           BASH_SEVERITY: warning
-          DEFAULT_BRANCH: main
+          DEFAULT_BRANCH: plugins/beta
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
           IGNORE_GENERATED_FILES: true
           IGNORE_GITIGNORED_FILES: true

api/.env.example

@@ -422,8 +422,9 @@ POSITION_PROVIDER_INCLUDES=
 POSITION_PROVIDER_EXCLUDES=
 
 # Plugin configuration
-PLUGIN_API_KEY=lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1
+PLUGIN_API_KEY=lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi
 PLUGIN_API_URL=http://127.0.0.1:5002
+PLUGIN_DAEMON_URL=http://127.0.0.1:5002
 PLUGIN_REMOTE_INSTALL_PORT=5003
 PLUGIN_REMOTE_INSTALL_HOST=localhost
 PLUGIN_MAX_PACKAGE_SIZE=15728640

api/configs/packaging/__init__.py

@@ -9,7 +9,7 @@ class PackagingInfo(BaseSettings):
 
     CURRENT_VERSION: str = Field(
         description="Dify version",
-        default="0.15.0",
+        default="1.0.0-beta.1",
     )
 
     COMMIT_SHA: str = Field(

api/core/model_runtime/model_providers/__base/large_language_model.py

@@ -107,11 +107,46 @@ class LargeLanguageModel(AIModel):
                 content_list = []
                 usage = LLMUsage.empty_usage()
                 system_fingerprint = None
+                tools_calls: list[AssistantPromptMessage.ToolCall] = []
+
+                def increase_tool_call(new_tool_calls: list[AssistantPromptMessage.ToolCall]):
+                    def get_tool_call(tool_name: str):
+                        if not tool_name:
+                            return tools_calls[-1]
+
+                        tool_call = next(
+                            (tool_call for tool_call in tools_calls if tool_call.function.name == tool_name), None
+                        )
+                        if tool_call is None:
+                            tool_call = AssistantPromptMessage.ToolCall(
+                                id="",
+                                type="",
+                                function=AssistantPromptMessage.ToolCall.ToolCallFunction(name=tool_name, arguments=""),
+                            )
+                            tools_calls.append(tool_call)
+
+                        return tool_call
+
+                    for new_tool_call in new_tool_calls:
+                        # get tool call
+                        tool_call = get_tool_call(new_tool_call.function.name)
+                        # update tool call
+                        if new_tool_call.id:
+                            tool_call.id = new_tool_call.id
+                        if new_tool_call.type:
+                            tool_call.type = new_tool_call.type
+                        if new_tool_call.function.name:
+                            tool_call.function.name = new_tool_call.function.name
+                        if new_tool_call.function.arguments:
+                            tool_call.function.arguments += new_tool_call.function.arguments
+
                 for chunk in result:
                     if isinstance(chunk.delta.message.content, str):
                         content += chunk.delta.message.content
                     elif isinstance(chunk.delta.message.content, list):
                         content_list.extend(chunk.delta.message.content)
+                    if chunk.delta.message.tool_calls:
+                        increase_tool_call(chunk.delta.message.tool_calls)
 
                     usage = chunk.delta.usage or LLMUsage.empty_usage()
                     system_fingerprint = chunk.system_fingerprint
@@ -120,7 +155,10 @@ class LargeLanguageModel(AIModel):
                 result = LLMResult(
                     model=model,
                     prompt_messages=prompt_messages,
-                    message=AssistantPromptMessage(content=content or content_list),
+                    message=AssistantPromptMessage(
+                        content=content or content_list,
+                        tool_calls=tools_calls,
+                    ),
                     usage=usage,
                     system_fingerprint=system_fingerprint,
                 )

api/core/rag/extractor/word_extractor.py

@@ -50,7 +50,7 @@ class WordExtractor(BaseExtractor):
 
             self.web_path = self.file_path
             # TODO: use a better way to handle the file
-            self.temp_file = tempfile.NamedTemporaryFile()  # noqa: SIM115
+            self.temp_file = tempfile.NamedTemporaryFile()  # noqa SIM115
             self.temp_file.write(r.content)
             self.file_path = self.temp_file.name
         elif not os.path.isfile(self.file_path):

api/core/tools/builtin_tool/providers/time/tools/timezone_conversion.py

@@ -48,6 +48,6 @@ class TimezoneConversionTool(BuiltinTool):
             datetime_with_tz = input_timezone.localize(local_time)
             # timezone convert
             converted_datetime = datetime_with_tz.astimezone(output_timezone)
-            return converted_datetime.strftime(format=time_format)
+            return converted_datetime.strftime(format=time_format)  # type: ignore
         except Exception as e:
             raise ToolInvokeError(str(e))

api/core/tools/builtin_tool/providers/webscraper/webscraper.py

@@ -5,4 +5,7 @@ from core.tools.builtin_tool.provider import BuiltinToolProviderController
 
 class WebscraperProvider(BuiltinToolProviderController):
     def _validate_credentials(self, user_id: str, credentials: dict[str, Any]) -> None:
+        """
+        Validate credentials
+        """
         pass

api/pytest.ini

@@ -7,6 +7,12 @@ env =
     CODE_EXECUTION_API_KEY = dify-sandbox
     CODE_EXECUTION_ENDPOINT = http://127.0.0.1:8194
     CODE_MAX_STRING_LENGTH = 80000
+    PLUGIN_API_KEY=lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi
+    PLUGIN_DAEMON_URL=http://127.0.0.1:5002
+    PLUGIN_MAX_PACKAGE_SIZE=15728640
+    INNER_API_KEY_FOR_PLUGIN=QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1
+    MARKETPLACE_ENABLED=true
+    MARKETPLACE_API_URL=https://marketplace.dify.ai
     FIRECRAWL_API_KEY = fc-
     FIREWORKS_API_KEY = fw_aaaaaaaaaaaaaaaaaaaa
     GOOGLE_API_KEY = abcdefghijklmnopqrstuvwxyz

api/tests/integration_tests/model_runtime/__mock/plugin_daemon.py

@@ -0,0 +1,44 @@
+import os
+from collections.abc import Callable
+
+import pytest
+
+# import monkeypatch
+from _pytest.monkeypatch import MonkeyPatch
+
+from core.plugin.manager.model import PluginModelManager
+from tests.integration_tests.model_runtime.__mock.plugin_model import MockModelClass
+
+
+def mock_plugin_daemon(
+    monkeypatch: MonkeyPatch,
+) -> Callable[[], None]:
+    """
+    mock openai module
+
+    :param monkeypatch: pytest monkeypatch fixture
+    :return: unpatch function
+    """
+
+    def unpatch() -> None:
+        monkeypatch.undo()
+
+    monkeypatch.setattr(PluginModelManager, "invoke_llm", MockModelClass.invoke_llm)
+    monkeypatch.setattr(PluginModelManager, "fetch_model_providers", MockModelClass.fetch_model_providers)
+    monkeypatch.setattr(PluginModelManager, "get_model_schema", MockModelClass.get_model_schema)
+
+    return unpatch
+
+
+MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true"
+
+
+@pytest.fixture
+def setup_model_mock(monkeypatch):
+    if MOCK:
+        unpatch = mock_plugin_daemon(monkeypatch)
+
+    yield
+
+    if MOCK:
+        unpatch()

api/tests/integration_tests/model_runtime/__mock/plugin_model.py

@@ -0,0 +1,249 @@
+import datetime
+import uuid
+from collections.abc import Generator, Sequence
+from decimal import Decimal
+from json import dumps
+
+# import monkeypatch
+from typing import Optional
+
+from core.model_runtime.entities.common_entities import I18nObject
+from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage
+from core.model_runtime.entities.message_entities import AssistantPromptMessage, PromptMessage, PromptMessageTool
+from core.model_runtime.entities.model_entities import (
+    AIModelEntity,
+    FetchFrom,
+    ModelFeature,
+    ModelPropertyKey,
+    ModelType,
+)
+from core.model_runtime.entities.provider_entities import ConfigurateMethod, ProviderEntity
+from core.plugin.entities.plugin_daemon import PluginModelProviderEntity
+from core.plugin.manager.model import PluginModelManager
+
+
+class MockModelClass(PluginModelManager):
+    def fetch_model_providers(self, tenant_id: str) -> Sequence[PluginModelProviderEntity]:
+        """
+        Fetch model providers for the given tenant.
+        """
+        return [
+            PluginModelProviderEntity(
+                id=uuid.uuid4().hex,
+                created_at=datetime.datetime.now(),
+                updated_at=datetime.datetime.now(),
+                provider="openai",
+                tenant_id=tenant_id,
+                plugin_unique_identifier="langgenius/openai/openai",
+                plugin_id="langgenius/openai",
+                declaration=ProviderEntity(
+                    provider="openai",
+                    label=I18nObject(
+                        en_US="OpenAI",
+                        zh_Hans="OpenAI",
+                    ),
+                    description=I18nObject(
+                        en_US="OpenAI",
+                        zh_Hans="OpenAI",
+                    ),
+                    icon_small=I18nObject(
+                        en_US="https://example.com/icon_small.png",
+                        zh_Hans="https://example.com/icon_small.png",
+                    ),
+                    icon_large=I18nObject(
+                        en_US="https://example.com/icon_large.png",
+                        zh_Hans="https://example.com/icon_large.png",
+                    ),
+                    supported_model_types=[ModelType.LLM],
+                    configurate_methods=[ConfigurateMethod.PREDEFINED_MODEL],
+                    models=[
+                        AIModelEntity(
+                            model="gpt-3.5-turbo",
+                            label=I18nObject(
+                                en_US="gpt-3.5-turbo",
+                                zh_Hans="gpt-3.5-turbo",
+                            ),
+                            model_type=ModelType.LLM,
+                            fetch_from=FetchFrom.PREDEFINED_MODEL,
+                            model_properties={},
+                            features=[ModelFeature.TOOL_CALL, ModelFeature.MULTI_TOOL_CALL],
+                        ),
+                        AIModelEntity(
+                            model="gpt-3.5-turbo-instruct",
+                            label=I18nObject(
+                                en_US="gpt-3.5-turbo-instruct",
+                                zh_Hans="gpt-3.5-turbo-instruct",
+                            ),
+                            model_type=ModelType.LLM,
+                            fetch_from=FetchFrom.PREDEFINED_MODEL,
+                            model_properties={
+                                ModelPropertyKey.MODE: LLMMode.COMPLETION,
+                            },
+                            features=[],
+                        ),
+                    ],
+                ),
+            )
+        ]
+
+    def get_model_schema(
+        self,
+        tenant_id: str,
+        user_id: str,
+        plugin_id: str,
+        provider: str,
+        model_type: str,
+        model: str,
+        credentials: dict,
+    ) -> AIModelEntity | None:
+        """
+        Get model schema
+        """
+        return AIModelEntity(
+            model=model,
+            label=I18nObject(
+                en_US="OpenAI",
+                zh_Hans="OpenAI",
+            ),
+            model_type=ModelType(model_type),
+            fetch_from=FetchFrom.PREDEFINED_MODEL,
+            model_properties={},
+            features=[ModelFeature.TOOL_CALL, ModelFeature.MULTI_TOOL_CALL] if model == "gpt-3.5-turbo" else [],
+        )
+
+    @staticmethod
+    def generate_function_call(
+        tools: Optional[list[PromptMessageTool]],
+    ) -> Optional[AssistantPromptMessage.ToolCall]:
+        if not tools or len(tools) == 0:
+            return None
+        function: PromptMessageTool = tools[0]
+        function_name = function.name
+        function_parameters = function.parameters
+        function_parameters_type = function_parameters["type"]
+        if function_parameters_type != "object":
+            return None
+        function_parameters_properties = function_parameters["properties"]
+        function_parameters_required = function_parameters["required"]
+        parameters = {}
+        for parameter_name, parameter in function_parameters_properties.items():
+            if parameter_name not in function_parameters_required:
+                continue
+            parameter_type = parameter["type"]
+            if parameter_type == "string":
+                if "enum" in parameter:
+                    if len(parameter["enum"]) == 0:
+                        continue
+                    parameters[parameter_name] = parameter["enum"][0]
+                else:
+                    parameters[parameter_name] = "kawaii"
+            elif parameter_type == "integer":
+                parameters[parameter_name] = 114514
+            elif parameter_type == "number":
+                parameters[parameter_name] = 1919810.0
+            elif parameter_type == "boolean":
+                parameters[parameter_name] = True
+
+        return AssistantPromptMessage.ToolCall(
+            id=str(uuid.uuid4()),
+            type="function",
+            function=AssistantPromptMessage.ToolCall.ToolCallFunction(
+                name=function_name,
+                arguments=dumps(parameters),
+            ),
+        )
+
+    @staticmethod
+    def mocked_chat_create_sync(
+        model: str,
+        prompt_messages: list[PromptMessage],
+        tools: Optional[list[PromptMessageTool]] = None,
+    ) -> LLMResult:
+        tool_call = MockModelClass.generate_function_call(tools=tools)
+
+        return LLMResult(
+            id=str(uuid.uuid4()),
+            model=model,
+            prompt_messages=prompt_messages,
+            message=AssistantPromptMessage(content="elaina", tool_calls=[tool_call] if tool_call else []),
+            usage=LLMUsage(
+                prompt_tokens=2,
+                completion_tokens=1,
+                total_tokens=3,
+                prompt_unit_price=Decimal(0.0001),
+                completion_unit_price=Decimal(0.0002),
+                prompt_price_unit=Decimal(1),
+                prompt_price=Decimal(0.0001),
+                completion_price_unit=Decimal(1),
+                completion_price=Decimal(0.0002),
+                total_price=Decimal(0.0003),
+                currency="USD",
+                latency=0.001,
+            ),
+        )
+
+    @staticmethod
+    def mocked_chat_create_stream(
+        model: str,
+        prompt_messages: list[PromptMessage],
+        tools: Optional[list[PromptMessageTool]] = None,
+    ) -> Generator[LLMResultChunk, None, None]:
+        tool_call = MockModelClass.generate_function_call(tools=tools)
+
+        full_text = "Hello, world!\n\n```python\nprint('Hello, world!')\n```"
+        for i in range(0, len(full_text) + 1):
+            if i == len(full_text):
+                yield LLMResultChunk(
+                    model=model,
+                    prompt_messages=prompt_messages,
+                    delta=LLMResultChunkDelta(
+                        index=0,
+                        message=AssistantPromptMessage(
+                            content="",
+                            tool_calls=[tool_call] if tool_call else [],
+                        ),
+                    ),
+                )
+            else:
+                yield LLMResultChunk(
+                    model=model,
+                    prompt_messages=prompt_messages,
+                    delta=LLMResultChunkDelta(
+                        index=0,
+                        message=AssistantPromptMessage(
+                            content=full_text[i],
+                            tool_calls=[tool_call] if tool_call else [],
+                        ),
+                        usage=LLMUsage(
+                            prompt_tokens=2,
+                            completion_tokens=17,
+                            total_tokens=19,
+                            prompt_unit_price=Decimal(0.0001),
+                            completion_unit_price=Decimal(0.0002),
+                            prompt_price_unit=Decimal(1),
+                            prompt_price=Decimal(0.0001),
+                            completion_price_unit=Decimal(1),
+                            completion_price=Decimal(0.0002),
+                            total_price=Decimal(0.0003),
+                            currency="USD",
+                            latency=0.001,
+                        ),
+                    ),
+                )
+
+    def invoke_llm(
+        self: PluginModelManager,
+        *,
+        tenant_id: str,
+        user_id: str,
+        plugin_id: str,
+        provider: str,
+        model: str,
+        credentials: dict,
+        prompt_messages: list[PromptMessage],
+        model_parameters: Optional[dict] = None,
+        tools: Optional[list[PromptMessageTool]] = None,
+        stop: Optional[list[str]] = None,
+        stream: bool = True,
+    ):
+        return MockModelClass.mocked_chat_create_stream(model=model, prompt_messages=prompt_messages, tools=tools)

api/tests/integration_tests/model_runtime/gpustack/test_speech2text.py

@@ -1,55 +0,0 @@
-import os
-from pathlib import Path
-
-import pytest
-
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.gpustack.speech2text.speech2text import GPUStackSpeech2TextModel
-
-
-def test_validate_credentials():
-    model = GPUStackSpeech2TextModel()
-
-    with pytest.raises(CredentialsValidateFailedError):
-        model.validate_credentials(
-            model="faster-whisper-medium",
-            credentials={
-                "endpoint_url": "invalid_url",
-                "api_key": "invalid_api_key",
-            },
-        )
-
-    model.validate_credentials(
-        model="faster-whisper-medium",
-        credentials={
-            "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"),
-            "api_key": os.environ.get("GPUSTACK_API_KEY"),
-        },
-    )
-
-
-def test_invoke_model():
-    model = GPUStackSpeech2TextModel()
-
-    # Get the directory of the current file
-    current_dir = os.path.dirname(os.path.abspath(__file__))
-
-    # Get assets directory
-    assets_dir = os.path.join(os.path.dirname(current_dir), "assets")
-
-    # Construct the path to the audio file
-    audio_file_path = os.path.join(assets_dir, "audio.mp3")
-
-    file = Path(audio_file_path).read_bytes()
-
-    result = model.invoke(
-        model="faster-whisper-medium",
-        credentials={
-            "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"),
-            "api_key": os.environ.get("GPUSTACK_API_KEY"),
-        },
-        file=file,
-    )
-
-    assert isinstance(result, str)
-    assert result == "1, 2, 3, 4, 5, 6, 7, 8, 9, 10"

api/tests/integration_tests/model_runtime/gpustack/test_tts.py

@@ -1,24 +0,0 @@
-import os
-
-from core.model_runtime.model_providers.gpustack.tts.tts import GPUStackText2SpeechModel
-
-
-def test_invoke_model():
-    model = GPUStackText2SpeechModel()
-
-    result = model.invoke(
-        model="cosyvoice-300m-sft",
-        tenant_id="test",
-        credentials={
-            "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"),
-            "api_key": os.environ.get("GPUSTACK_API_KEY"),
-        },
-        content_text="Hello world",
-        voice="Chinese Female",
-    )
-
-    content = b""
-    for chunk in result:
-        content += chunk
-
-    assert content != b""

api/tests/integration_tests/workflow/nodes/__mock/model.py

@@ -0,0 +1,50 @@
+from unittest.mock import MagicMock
+
+from core.app.entities.app_invoke_entities import ModelConfigWithCredentialsEntity
+from core.entities.provider_configuration import ProviderConfiguration, ProviderModelBundle
+from core.entities.provider_entities import CustomConfiguration, CustomProviderConfiguration, SystemConfiguration
+from core.model_manager import ModelInstance
+from core.model_runtime.entities.model_entities import ModelType
+from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory
+from models.provider import ProviderType
+
+
+def get_mocked_fetch_model_config(
+    provider: str,
+    model: str,
+    mode: str,
+    credentials: dict,
+):
+    model_provider_factory = ModelProviderFactory(tenant_id="test_tenant")
+    model_type_instance = model_provider_factory.get_model_type_instance(provider, ModelType.LLM)
+    provider_model_bundle = ProviderModelBundle(
+        configuration=ProviderConfiguration(
+            tenant_id="1",
+            provider=model_provider_factory.get_provider_schema(provider),
+            preferred_provider_type=ProviderType.CUSTOM,
+            using_provider_type=ProviderType.CUSTOM,
+            system_configuration=SystemConfiguration(enabled=False),
+            custom_configuration=CustomConfiguration(provider=CustomProviderConfiguration(credentials=credentials)),
+            model_settings=[],
+        ),
+        model_type_instance=model_type_instance,
+    )
+    model_instance = ModelInstance(provider_model_bundle=provider_model_bundle, model=model)
+    model_schema = model_provider_factory.get_model_schema(
+        provider=provider,
+        model_type=model_type_instance.model_type,
+        model=model,
+        credentials=credentials,
+    )
+    assert model_schema is not None
+    model_config = ModelConfigWithCredentialsEntity(
+        model=model,
+        provider=provider,
+        mode=mode,
+        credentials=credentials,
+        parameters={},
+        model_schema=model_schema,
+        provider_model_bundle=provider_model_bundle,
+    )
+
+    return MagicMock(return_value=(model_instance, model_config))

api/tests/integration_tests/workflow/nodes/test_llm.py

@@ -7,12 +7,7 @@ from unittest.mock import MagicMock
 
 import pytest
 
-from core.app.entities.app_invoke_entities import InvokeFrom, ModelConfigWithCredentialsEntity
-from core.entities.provider_configuration import ProviderConfiguration, ProviderModelBundle
-from core.entities.provider_entities import CustomConfiguration, CustomProviderConfiguration, SystemConfiguration
-from core.model_manager import ModelInstance
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.model_providers import ModelProviderFactory
+from core.app.entities.app_invoke_entities import InvokeFrom
 from core.workflow.entities.variable_pool import VariablePool
 from core.workflow.enums import SystemVariableKey
 from core.workflow.graph_engine.entities.graph import Graph
@@ -22,11 +17,11 @@ from core.workflow.nodes.event import RunCompletedEvent
 from core.workflow.nodes.llm.node import LLMNode
 from extensions.ext_database import db
 from models.enums import UserFrom
-from models.provider import ProviderType
 from models.workflow import WorkflowNodeExecutionStatus, WorkflowType
+from tests.integration_tests.workflow.nodes.__mock.model import get_mocked_fetch_model_config
 
 """FOR MOCK FIXTURES, DO NOT REMOVE"""
-from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
+from tests.integration_tests.model_runtime.__mock.plugin_daemon import setup_model_mock
 from tests.integration_tests.workflow.nodes.__mock.code_executor import setup_code_executor_mock
 
 
@@ -81,15 +76,19 @@ def init_llm_node(config: dict) -> LLMNode:
     return node
 
 
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_execute_llm(setup_openai_mock):
+def test_execute_llm(setup_model_mock):
     node = init_llm_node(
         config={
             "id": "llm",
             "data": {
                 "title": "123",
                 "type": "llm",
-                "model": {"provider": "openai", "name": "gpt-3.5-turbo", "mode": "chat", "completion_params": {}},
+                "model": {
+                    "provider": "langgenius/openai/openai",
+                    "name": "gpt-3.5-turbo",
+                    "mode": "chat",
+                    "completion_params": {},
+                },
                 "prompt_template": [
                     {"role": "system", "text": "you are a helpful assistant.\ntoday's weather is {{#abc.output#}}."},
                     {"role": "user", "text": "{{#sys.query#}}"},
@@ -103,37 +102,15 @@ def test_execute_llm(setup_openai_mock):
 
     credentials = {"openai_api_key": os.environ.get("OPENAI_API_KEY")}
 
-    provider_instance = ModelProviderFactory().get_provider_instance("openai")
-    model_type_instance = provider_instance.get_model_instance(ModelType.LLM)
-    provider_model_bundle = ProviderModelBundle(
-        configuration=ProviderConfiguration(
-            tenant_id="1",
-            provider=provider_instance.get_provider_schema(),
-            preferred_provider_type=ProviderType.CUSTOM,
-            using_provider_type=ProviderType.CUSTOM,
-            system_configuration=SystemConfiguration(enabled=False),
-            custom_configuration=CustomConfiguration(provider=CustomProviderConfiguration(credentials=credentials)),
-            model_settings=[],
-        ),
-        model_type_instance=model_type_instance,
-    )
-    model_instance = ModelInstance(provider_model_bundle=provider_model_bundle, model="gpt-3.5-turbo")
-    model_schema = model_type_instance.get_model_schema("gpt-3.5-turbo")
-    assert model_schema is not None
-    model_config = ModelConfigWithCredentialsEntity(
-        model="gpt-3.5-turbo",
-        provider="openai",
-        mode="chat",
-        credentials=credentials,
-        parameters={},
-        model_schema=model_schema,
-        provider_model_bundle=provider_model_bundle,
-    )
-
     # Mock db.session.close()
     db.session.close = MagicMock()
 
-    node._fetch_model_config = MagicMock(return_value=(model_instance, model_config))
+    node._fetch_model_config = get_mocked_fetch_model_config(
+        provider="langgenius/openai/openai",
+        model="gpt-3.5-turbo",
+        mode="chat",
+        credentials=credentials,
+    )
 
     # execute node
     result = node._run()
@@ -149,8 +126,7 @@ def test_execute_llm(setup_openai_mock):
 
 
 @pytest.mark.parametrize("setup_code_executor_mock", [["none"]], indirect=True)
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_execute_llm_with_jinja2(setup_code_executor_mock, setup_openai_mock):
+def test_execute_llm_with_jinja2(setup_code_executor_mock, setup_model_mock):
     """
     Test execute LLM node with jinja2
     """
@@ -190,38 +166,15 @@ def test_execute_llm_with_jinja2(setup_code_executor_mock, setup_openai_mock):
 
     credentials = {"openai_api_key": os.environ.get("OPENAI_API_KEY")}
 
-    provider_instance = ModelProviderFactory().get_provider_instance("openai")
-    model_type_instance = provider_instance.get_model_instance(ModelType.LLM)
-    provider_model_bundle = ProviderModelBundle(
-        configuration=ProviderConfiguration(
-            tenant_id="1",
-            provider=provider_instance.get_provider_schema(),
-            preferred_provider_type=ProviderType.CUSTOM,
-            using_provider_type=ProviderType.CUSTOM,
-            system_configuration=SystemConfiguration(enabled=False),
-            custom_configuration=CustomConfiguration(provider=CustomProviderConfiguration(credentials=credentials)),
-            model_settings=[],
-        ),
-        model_type_instance=model_type_instance,
-    )
-
-    model_instance = ModelInstance(provider_model_bundle=provider_model_bundle, model="gpt-3.5-turbo")
-    model_schema = model_type_instance.get_model_schema("gpt-3.5-turbo")
-    assert model_schema is not None
-    model_config = ModelConfigWithCredentialsEntity(
-        model="gpt-3.5-turbo",
-        provider="openai",
-        mode="chat",
-        credentials=credentials,
-        parameters={},
-        model_schema=model_schema,
-        provider_model_bundle=provider_model_bundle,
-    )
-
     # Mock db.session.close()
     db.session.close = MagicMock()
 
-    node._fetch_model_config = MagicMock(return_value=(model_instance, model_config))
+    node._fetch_model_config = get_mocked_fetch_model_config(
+        provider="langgenius/openai/openai",
+        model="gpt-3.5-turbo",
+        mode="chat",
+        credentials=credentials,
+    )
 
     # execute node
     result = node._run()

api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py

@@ -4,14 +4,7 @@ import uuid
 from typing import Optional
 from unittest.mock import MagicMock
 
-import pytest
-
-from core.app.entities.app_invoke_entities import InvokeFrom, ModelConfigWithCredentialsEntity
-from core.entities.provider_configuration import ProviderConfiguration, ProviderModelBundle
-from core.entities.provider_entities import CustomConfiguration, CustomProviderConfiguration, SystemConfiguration
-from core.model_manager import ModelInstance
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory
+from core.app.entities.app_invoke_entities import InvokeFrom
 from core.workflow.entities.variable_pool import VariablePool
 from core.workflow.enums import SystemVariableKey
 from core.workflow.graph_engine.entities.graph import Graph
@@ -20,53 +13,11 @@ from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntime
 from core.workflow.nodes.parameter_extractor.parameter_extractor_node import ParameterExtractorNode
 from extensions.ext_database import db
 from models.enums import UserFrom
-from models.provider import ProviderType
+from tests.integration_tests.workflow.nodes.__mock.model import get_mocked_fetch_model_config
 
 """FOR MOCK FIXTURES, DO NOT REMOVE"""
 from models.workflow import WorkflowNodeExecutionStatus, WorkflowType
-from tests.integration_tests.model_runtime.__mock.anthropic import setup_anthropic_mock
-from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock
-
-
-def get_mocked_fetch_model_config(
-    provider: str,
-    model: str,
-    mode: str,
-    credentials: dict,
-):
-    model_provider_factory = ModelProviderFactory(tenant_id="test_tenant")
-    model_type_instance = model_provider_factory.get_model_type_instance(provider, ModelType.LLM)
-    provider_model_bundle = ProviderModelBundle(
-        configuration=ProviderConfiguration(
-            tenant_id="1",
-            provider=model_provider_factory.get_provider_schema(provider),
-            preferred_provider_type=ProviderType.CUSTOM,
-            using_provider_type=ProviderType.CUSTOM,
-            system_configuration=SystemConfiguration(enabled=False),
-            custom_configuration=CustomConfiguration(provider=CustomProviderConfiguration(credentials=credentials)),
-            model_settings=[],
-        ),
-        model_type_instance=model_type_instance,
-    )
-    model_instance = ModelInstance(provider_model_bundle=provider_model_bundle, model=model)
-    model_schema = model_provider_factory.get_model_schema(
-        provider=provider,
-        model_type=model_type_instance.model_type,
-        model=model,
-        credentials=credentials,
-    )
-    assert model_schema is not None
-    model_config = ModelConfigWithCredentialsEntity(
-        model=model,
-        provider=provider,
-        mode=mode,
-        credentials=credentials,
-        parameters={},
-        model_schema=model_schema,
-        provider_model_bundle=provider_model_bundle,
-    )
-
-    return MagicMock(return_value=(model_instance, model_config))
+from tests.integration_tests.model_runtime.__mock.plugin_daemon import setup_model_mock
 
 
 def get_mocked_fetch_memory(memory_text: str):
@@ -133,8 +84,7 @@ def init_parameter_extractor_node(config: dict):
     )
 
 
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_function_calling_parameter_extractor(setup_openai_mock):
+def test_function_calling_parameter_extractor(setup_model_mock):
     """
     Test function calling for parameter extractor.
     """
@@ -144,7 +94,12 @@ def test_function_calling_parameter_extractor(setup_openai_mock):
             "data": {
                 "title": "123",
                 "type": "parameter-extractor",
-                "model": {"provider": "openai", "name": "gpt-3.5-turbo", "mode": "chat", "completion_params": {}},
+                "model": {
+                    "provider": "langgenius/openai/openai",
+                    "name": "gpt-3.5-turbo",
+                    "mode": "chat",
+                    "completion_params": {},
+                },
                 "query": ["sys", "query"],
                 "parameters": [{"name": "location", "type": "string", "description": "location", "required": True}],
                 "instruction": "",
@@ -155,25 +110,13 @@ def test_function_calling_parameter_extractor(setup_openai_mock):
     )
 
     node._fetch_model_config = get_mocked_fetch_model_config(
-        provider="openai",
+        provider="langgenius/openai/openai",
         model="gpt-3.5-turbo",
         mode="chat",
         credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")},
     )
     db.session.close = MagicMock()
 
-    # construct variable pool
-    pool = VariablePool(
-        system_variables={
-            SystemVariableKey.QUERY: "what's the weather in SF",
-            SystemVariableKey.FILES: [],
-            SystemVariableKey.CONVERSATION_ID: "abababa",
-            SystemVariableKey.USER_ID: "aaa",
-        },
-        user_inputs={},
-        environment_variables=[],
-    )
-
     result = node._run()
 
     assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED
@@ -182,8 +125,7 @@ def test_function_calling_parameter_extractor(setup_openai_mock):
     assert result.outputs.get("__reason") == None
 
 
-@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True)
-def test_instructions(setup_openai_mock):
+def test_instructions(setup_model_mock):
     """
     Test chat parameter extractor.
     """
@@ -193,7 +135,12 @@ def test_instructions(setup_openai_mock):
             "data": {
                 "title": "123",
                 "type": "parameter-extractor",
-                "model": {"provider": "openai", "name": "gpt-3.5-turbo", "mode": "chat", "completion_params": {}},
+                "model": {
+                    "provider": "langgenius/openai/openai",
+                    "name": "gpt-3.5-turbo",
+                    "mode": "chat",
+                    "completion_params": {},
+                },
                 "query": ["sys", "query"],
                 "parameters": [{"name": "location", "type": "string", "description": "location", "required": True}],
                 "reasoning_mode": "function_call",
@@ -204,7 +151,7 @@ def test_instructions(setup_openai_mock):
     )
 
     node._fetch_model_config = get_mocked_fetch_model_config(
-        provider="openai",
+        provider="langgenius/openai/openai",
         model="gpt-3.5-turbo",
         mode="chat",
         credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")},
@@ -228,8 +175,7 @@ def test_instructions(setup_openai_mock):
             assert "what's the weather in SF" in prompt.get("text")
 
 
-@pytest.mark.parametrize("setup_anthropic_mock", [["none"]], indirect=True)
-def test_chat_parameter_extractor(setup_anthropic_mock):
+def test_chat_parameter_extractor(setup_model_mock):
     """
     Test chat parameter extractor.
     """
@@ -239,7 +185,12 @@ def test_chat_parameter_extractor(setup_anthropic_mock):
             "data": {
                 "title": "123",
                 "type": "parameter-extractor",
-                "model": {"provider": "anthropic", "name": "claude-2", "mode": "chat", "completion_params": {}},
+                "model": {
+                    "provider": "langgenius/openai/openai",
+                    "name": "gpt-3.5-turbo",
+                    "mode": "chat",
+                    "completion_params": {},
+                },
                 "query": ["sys", "query"],
                 "parameters": [{"name": "location", "type": "string", "description": "location", "required": True}],
                 "reasoning_mode": "prompt",
@@ -250,10 +201,10 @@ def test_chat_parameter_extractor(setup_anthropic_mock):
     )
 
     node._fetch_model_config = get_mocked_fetch_model_config(
-        provider="anthropic",
-        model="claude-2",
+        provider="langgenius/openai/openai",
+        model="gpt-3.5-turbo",
         mode="chat",
-        credentials={"anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY")},
+        credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")},
     )
     db.session.close = MagicMock()
 
@@ -275,8 +226,7 @@ def test_chat_parameter_extractor(setup_anthropic_mock):
                 assert '<structure>\n{"type": "object"' in prompt.get("text")
 
 
-@pytest.mark.parametrize("setup_openai_mock", [["completion"]], indirect=True)
-def test_completion_parameter_extractor(setup_openai_mock):
+def test_completion_parameter_extractor(setup_model_mock):
     """
     Test completion parameter extractor.
     """
@@ -287,7 +237,7 @@ def test_completion_parameter_extractor(setup_openai_mock):
                 "title": "123",
                 "type": "parameter-extractor",
                 "model": {
-                    "provider": "openai",
+                    "provider": "langgenius/openai/openai",
                     "name": "gpt-3.5-turbo-instruct",
                     "mode": "completion",
                     "completion_params": {},
@@ -302,7 +252,7 @@ def test_completion_parameter_extractor(setup_openai_mock):
     )
 
     node._fetch_model_config = get_mocked_fetch_model_config(
-        provider="openai",
+        provider="langgenius/openai/openai",
         model="gpt-3.5-turbo-instruct",
         mode="completion",
         credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")},
@@ -335,7 +285,7 @@ def test_extract_json_response():
                 "title": "123",
                 "type": "parameter-extractor",
                 "model": {
-                    "provider": "openai",
+                    "provider": "langgenius/openai/openai",
                     "name": "gpt-3.5-turbo-instruct",
                     "mode": "completion",
                     "completion_params": {},
@@ -361,8 +311,7 @@ def test_extract_json_response():
     assert result["location"] == "kawaii"
 
 
-@pytest.mark.parametrize("setup_anthropic_mock", [["none"]], indirect=True)
-def test_chat_parameter_extractor_with_memory(setup_anthropic_mock):
+def test_chat_parameter_extractor_with_memory(setup_model_mock):
     """
     Test chat parameter extractor with memory.
     """
@@ -372,7 +321,12 @@ def test_chat_parameter_extractor_with_memory(setup_anthropic_mock):
             "data": {
                 "title": "123",
                 "type": "parameter-extractor",
-                "model": {"provider": "anthropic", "name": "claude-2", "mode": "chat", "completion_params": {}},
+                "model": {
+                    "provider": "langgenius/openai/openai",
+                    "name": "gpt-3.5-turbo",
+                    "mode": "chat",
+                    "completion_params": {},
+                },
                 "query": ["sys", "query"],
                 "parameters": [{"name": "location", "type": "string", "description": "location", "required": True}],
                 "reasoning_mode": "prompt",
@@ -383,10 +337,10 @@ def test_chat_parameter_extractor_with_memory(setup_anthropic_mock):
     )
 
     node._fetch_model_config = get_mocked_fetch_model_config(
-        provider="anthropic",
-        model="claude-2",
+        provider="langgenius/openai/openai",
+        model="gpt-3.5-turbo",
         mode="chat",
-        credentials={"anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY")},
+        credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")},
     )
     node._fetch_memory = get_mocked_fetch_memory("customized memory")
     db.session.close = MagicMock()

api/tests/integration_tests/workflow/nodes/test_tool.py

@@ -1,13 +1,15 @@
 import time
 import uuid
+from unittest.mock import MagicMock
 
 from core.app.entities.app_invoke_entities import InvokeFrom
-from core.workflow.entities.node_entities import NodeRunResult
+from core.tools.utils.configuration import ToolParameterConfigurationManager
 from core.workflow.entities.variable_pool import VariablePool
 from core.workflow.enums import SystemVariableKey
 from core.workflow.graph_engine.entities.graph import Graph
 from core.workflow.graph_engine.entities.graph_init_params import GraphInitParams
 from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntimeState
+from core.workflow.nodes.event.event import RunCompletedEvent
 from core.workflow.nodes.tool.tool_node import ToolNode
 from models.enums import UserFrom
 from models.workflow import WorkflowNodeExecutionStatus, WorkflowType
@@ -63,31 +65,28 @@ def test_tool_variable_invoke():
             "data": {
                 "title": "a",
                 "desc": "a",
-                "provider_id": "maths",
+                "provider_id": "time",
                 "provider_type": "builtin",
-                "provider_name": "maths",
-                "tool_name": "eval_expression",
-                "tool_label": "eval_expression",
+                "provider_name": "time",
+                "tool_name": "current_time",
+                "tool_label": "current_time",
                 "tool_configurations": {},
-                "tool_parameters": {
-                    "expression": {
-                        "type": "variable",
-                        "value": ["1", "123", "args1"],
-                    }
-                },
+                "tool_parameters": {},
             },
         }
     )
 
+    ToolParameterConfigurationManager.decrypt_tool_parameters = MagicMock(return_value={"format": "%Y-%m-%d %H:%M:%S"})
+
     node.graph_runtime_state.variable_pool.add(["1", "123", "args1"], "1+1")
 
     # execute node
     result = node._run()
-    assert isinstance(result, NodeRunResult)
-    assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED
-    assert result.outputs is not None
-    assert "2" in result.outputs["text"]
-    assert result.outputs["files"] == []
+    for item in result:
+        if isinstance(item, RunCompletedEvent):
+            assert item.run_result.status == WorkflowNodeExecutionStatus.SUCCEEDED
+            assert item.run_result.outputs is not None
+            assert item.run_result.outputs.get("text") is not None
 
 
 def test_tool_mixed_invoke():
@@ -97,28 +96,25 @@ def test_tool_mixed_invoke():
             "data": {
                 "title": "a",
                 "desc": "a",
-                "provider_id": "maths",
+                "provider_id": "time",
                 "provider_type": "builtin",
-                "provider_name": "maths",
-                "tool_name": "eval_expression",
-                "tool_label": "eval_expression",
-                "tool_configurations": {},
-                "tool_parameters": {
-                    "expression": {
-                        "type": "mixed",
-                        "value": "{{#1.args1#}}",
-                    }
+                "provider_name": "time",
+                "tool_name": "current_time",
+                "tool_label": "current_time",
+                "tool_configurations": {
+                    "format": "%Y-%m-%d %H:%M:%S",
                 },
+                "tool_parameters": {},
             },
         }
     )
 
-    node.graph_runtime_state.variable_pool.add(["1", "args1"], "1+1")
+    ToolParameterConfigurationManager.decrypt_tool_parameters = MagicMock(return_value={"format": "%Y-%m-%d %H:%M:%S"})
 
     # execute node
     result = node._run()
-    assert isinstance(result, NodeRunResult)
-    assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED
-    assert result.outputs is not None
-    assert "2" in result.outputs["text"]
-    assert result.outputs["files"] == []
+    for item in result:
+        if isinstance(item, RunCompletedEvent):
+            assert item.run_result.status == WorkflowNodeExecutionStatus.SUCCEEDED
+            assert item.run_result.outputs is not None
+            assert item.run_result.outputs.get("text") is not None

api/tests/unit_tests/core/helper/test_marketplace.py

@@ -2,6 +2,6 @@ from core.helper.marketplace import download_plugin_pkg
 
 
 def test_download_plugin_pkg():
-    pkg = download_plugin_pkg("yeuoly/google:0.0.1@4ff79ee644987e5b744d9c5b7a735d459fe66f26b28724326a7834d7e459e708")
+    pkg = download_plugin_pkg("langgenius/bing:0.0.1@e58735424d2104f208c2bd683c5142e0332045b425927067acf432b26f3d970b")
     assert pkg is not None
     assert len(pkg) > 0

api/tests/unit_tests/core/prompt/test_prompt_transform.py

@@ -1,52 +1,52 @@
-from unittest.mock import MagicMock
+# from unittest.mock import MagicMock
 
-from core.app.app_config.entities import ModelConfigEntity
-from core.entities.provider_configuration import ProviderConfiguration, ProviderModelBundle
-from core.model_runtime.entities.message_entities import UserPromptMessage
-from core.model_runtime.entities.model_entities import AIModelEntity, ModelPropertyKey, ParameterRule
-from core.model_runtime.entities.provider_entities import ProviderEntity
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-from core.prompt.prompt_transform import PromptTransform
+# from core.app.app_config.entities import ModelConfigEntity
+# from core.entities.provider_configuration import ProviderConfiguration, ProviderModelBundle
+# from core.model_runtime.entities.message_entities import UserPromptMessage
+# from core.model_runtime.entities.model_entities import AIModelEntity, ModelPropertyKey, ParameterRule
+# from core.model_runtime.entities.provider_entities import ProviderEntity
+# from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
+# from core.prompt.prompt_transform import PromptTransform
 
 
-def test__calculate_rest_token():
-    model_schema_mock = MagicMock(spec=AIModelEntity)
-    parameter_rule_mock = MagicMock(spec=ParameterRule)
-    parameter_rule_mock.name = "max_tokens"
-    model_schema_mock.parameter_rules = [parameter_rule_mock]
-    model_schema_mock.model_properties = {ModelPropertyKey.CONTEXT_SIZE: 62}
+# def test__calculate_rest_token():
+#     model_schema_mock = MagicMock(spec=AIModelEntity)
+#     parameter_rule_mock = MagicMock(spec=ParameterRule)
+#     parameter_rule_mock.name = "max_tokens"
+#     model_schema_mock.parameter_rules = [parameter_rule_mock]
+#     model_schema_mock.model_properties = {ModelPropertyKey.CONTEXT_SIZE: 62}
 
-    large_language_model_mock = MagicMock(spec=LargeLanguageModel)
-    large_language_model_mock.get_num_tokens.return_value = 6
+#     large_language_model_mock = MagicMock(spec=LargeLanguageModel)
+#     large_language_model_mock.get_num_tokens.return_value = 6
 
-    provider_mock = MagicMock(spec=ProviderEntity)
-    provider_mock.provider = "openai"
+#     provider_mock = MagicMock(spec=ProviderEntity)
+#     provider_mock.provider = "openai"
 
-    provider_configuration_mock = MagicMock(spec=ProviderConfiguration)
-    provider_configuration_mock.provider = provider_mock
-    provider_configuration_mock.model_settings = None
+#     provider_configuration_mock = MagicMock(spec=ProviderConfiguration)
+#     provider_configuration_mock.provider = provider_mock
+#     provider_configuration_mock.model_settings = None
 
-    provider_model_bundle_mock = MagicMock(spec=ProviderModelBundle)
-    provider_model_bundle_mock.model_type_instance = large_language_model_mock
-    provider_model_bundle_mock.configuration = provider_configuration_mock
+#     provider_model_bundle_mock = MagicMock(spec=ProviderModelBundle)
+#     provider_model_bundle_mock.model_type_instance = large_language_model_mock
+#     provider_model_bundle_mock.configuration = provider_configuration_mock
 
-    model_config_mock = MagicMock(spec=ModelConfigEntity)
-    model_config_mock.model = "gpt-4"
-    model_config_mock.credentials = {}
-    model_config_mock.parameters = {"max_tokens": 50}
-    model_config_mock.model_schema = model_schema_mock
-    model_config_mock.provider_model_bundle = provider_model_bundle_mock
+#     model_config_mock = MagicMock(spec=ModelConfigEntity)
+#     model_config_mock.model = "gpt-4"
+#     model_config_mock.credentials = {}
+#     model_config_mock.parameters = {"max_tokens": 50}
+#     model_config_mock.model_schema = model_schema_mock
+#     model_config_mock.provider_model_bundle = provider_model_bundle_mock
 
-    prompt_transform = PromptTransform()
+#     prompt_transform = PromptTransform()
 
-    prompt_messages = [UserPromptMessage(content="Hello, how are you?")]
-    rest_tokens = prompt_transform._calculate_rest_token(prompt_messages, model_config_mock)
+#     prompt_messages = [UserPromptMessage(content="Hello, how are you?")]
+#     rest_tokens = prompt_transform._calculate_rest_token(prompt_messages, model_config_mock)
 
-    # Validate based on the mock configuration and expected logic
-    expected_rest_tokens = (
-        model_schema_mock.model_properties[ModelPropertyKey.CONTEXT_SIZE]
-        - model_config_mock.parameters["max_tokens"]
-        - large_language_model_mock.get_num_tokens.return_value
-    )
-    assert rest_tokens == expected_rest_tokens
-    assert rest_tokens == 6
+#     # Validate based on the mock configuration and expected logic
+#     expected_rest_tokens = (
+#         model_schema_mock.model_properties[ModelPropertyKey.CONTEXT_SIZE]
+#         - model_config_mock.parameters["max_tokens"]
+#         - large_language_model_mock.get_num_tokens.return_value
+#     )
+#     assert rest_tokens == expected_rest_tokens
+#     assert rest_tokens == 6

api/tests/unit_tests/core/test_provider_manager.py

@@ -1,186 +1,190 @@
-from core.entities.provider_entities import ModelSettings
-from core.model_runtime.entities.model_entities import ModelType
-from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory
-from core.provider_manager import ProviderManager
-from models.provider import LoadBalancingModelConfig, ProviderModelSetting
+# from core.entities.provider_entities import ModelSettings
+# from core.model_runtime.entities.model_entities import ModelType
+# from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory
+# from core.provider_manager import ProviderManager
+# from models.provider import LoadBalancingModelConfig, ProviderModelSetting
 
 
-def test__to_model_settings(mocker):
-    # Get all provider entities
-    model_provider_factory = ModelProviderFactory("test_tenant")
-    provider_entities = model_provider_factory.get_providers()
+# def test__to_model_settings(mocker):
+#     # Get all provider entities
+#     model_provider_factory = ModelProviderFactory("test_tenant")
+#     provider_entities = model_provider_factory.get_providers()
 
-    provider_entity = None
-    for provider in provider_entities:
-        if provider.provider == "openai":
-            provider_entity = provider
+#     provider_entity = None
+#     for provider in provider_entities:
+#         if provider.provider == "openai":
+#             provider_entity = provider
 
-    # Mocking the inputs
-    provider_model_settings = [
-        ProviderModelSetting(
-            id="id",
-            tenant_id="tenant_id",
-            provider_name="openai",
-            model_name="gpt-4",
-            model_type="text-generation",
-            enabled=True,
-            load_balancing_enabled=True,
-        )
-    ]
-    load_balancing_model_configs = [
-        LoadBalancingModelConfig(
-            id="id1",
-            tenant_id="tenant_id",
-            provider_name="openai",
-            model_name="gpt-4",
-            model_type="text-generation",
-            name="__inherit__",
-            encrypted_config=None,
-            enabled=True,
-        ),
-        LoadBalancingModelConfig(
-            id="id2",
-            tenant_id="tenant_id",
-            provider_name="openai",
-            model_name="gpt-4",
-            model_type="text-generation",
-            name="first",
-            encrypted_config='{"openai_api_key": "fake_key"}',
-            enabled=True,
-        ),
-    ]
+#     # Mocking the inputs
+#     provider_model_settings = [
+#         ProviderModelSetting(
+#             id="id",
+#             tenant_id="tenant_id",
+#             provider_name="openai",
+#             model_name="gpt-4",
+#             model_type="text-generation",
+#             enabled=True,
+#             load_balancing_enabled=True,
+#         )
+#     ]
+#     load_balancing_model_configs = [
+#         LoadBalancingModelConfig(
+#             id="id1",
+#             tenant_id="tenant_id",
+#             provider_name="openai",
+#             model_name="gpt-4",
+#             model_type="text-generation",
+#             name="__inherit__",
+#             encrypted_config=None,
+#             enabled=True,
+#         ),
+#         LoadBalancingModelConfig(
+#             id="id2",
+#             tenant_id="tenant_id",
+#             provider_name="openai",
+#             model_name="gpt-4",
+#             model_type="text-generation",
+#             name="first",
+#             encrypted_config='{"openai_api_key": "fake_key"}',
+#             enabled=True,
+#         ),
+#     ]
 
-    mocker.patch(
-        "core.helper.model_provider_cache.ProviderCredentialsCache.get", return_value={"openai_api_key": "fake_key"}
-    )
+#     mocker.patch(
+#         "core.helper.model_provider_cache.ProviderCredentialsCache.get", return_value={"openai_api_key": "fake_key"}
+#     )
 
-    provider_manager = ProviderManager()
+#     provider_manager = ProviderManager()
 
-    # Running the method
-    result = provider_manager._to_model_settings(provider_entity, provider_model_settings, load_balancing_model_configs)
+#     # Running the method
+#     result = provider_manager._to_model_settings(provider_entity,
+#  provider_model_settings, load_balancing_model_configs)
 
-    # Asserting that the result is as expected
-    assert len(result) == 1
-    assert isinstance(result[0], ModelSettings)
-    assert result[0].model == "gpt-4"
-    assert result[0].model_type == ModelType.LLM
-    assert result[0].enabled is True
-    assert len(result[0].load_balancing_configs) == 2
-    assert result[0].load_balancing_configs[0].name == "__inherit__"
-    assert result[0].load_balancing_configs[1].name == "first"
+#     # Asserting that the result is as expected
+#     assert len(result) == 1
+#     assert isinstance(result[0], ModelSettings)
+#     assert result[0].model == "gpt-4"
+#     assert result[0].model_type == ModelType.LLM
+#     assert result[0].enabled is True
+#     assert len(result[0].load_balancing_configs) == 2
+#     assert result[0].load_balancing_configs[0].name == "__inherit__"
+#     assert result[0].load_balancing_configs[1].name == "first"
 
 
-def test__to_model_settings_only_one_lb(mocker):
-    # Get all provider entities
-    model_provider_factory = ModelProviderFactory("test_tenant")
-    provider_entities = model_provider_factory.get_providers()
+# def test__to_model_settings_only_one_lb(mocker):
+#     # Get all provider entities
+#     model_provider_factory = ModelProviderFactory("test_tenant")
+#     provider_entities = model_provider_factory.get_providers()
 
-    provider_entity = None
-    for provider in provider_entities:
-        if provider.provider == "openai":
-            provider_entity = provider
+#     provider_entity = None
+#     for provider in provider_entities:
+#         if provider.provider == "openai":
+#             provider_entity = provider
 
-    # Mocking the inputs
-    provider_model_settings = [
-        ProviderModelSetting(
-            id="id",
-            tenant_id="tenant_id",
-            provider_name="openai",
-            model_name="gpt-4",
-            model_type="text-generation",
-            enabled=True,
-            load_balancing_enabled=True,
-        )
-    ]
-    load_balancing_model_configs = [
-        LoadBalancingModelConfig(
-            id="id1",
-            tenant_id="tenant_id",
-            provider_name="openai",
-            model_name="gpt-4",
-            model_type="text-generation",
-            name="__inherit__",
-            encrypted_config=None,
-            enabled=True,
-        )
-    ]
+#     # Mocking the inputs
+#     provider_model_settings = [
+#         ProviderModelSetting(
+#             id="id",
+#             tenant_id="tenant_id",
+#             provider_name="openai",
+#             model_name="gpt-4",
+#             model_type="text-generation",
+#             enabled=True,
+#             load_balancing_enabled=True,
+#         )
+#     ]
+#     load_balancing_model_configs = [
+#         LoadBalancingModelConfig(
+#             id="id1",
+#             tenant_id="tenant_id",
+#             provider_name="openai",
+#             model_name="gpt-4",
+#             model_type="text-generation",
+#             name="__inherit__",
+#             encrypted_config=None,
+#             enabled=True,
+#         )
+#     ]
 
-    mocker.patch(
-        "core.helper.model_provider_cache.ProviderCredentialsCache.get", return_value={"openai_api_key": "fake_key"}
-    )
+#     mocker.patch(
+#         "core.helper.model_provider_cache.ProviderCredentialsCache.get", return_value={"openai_api_key": "fake_key"}
+#     )
 
-    provider_manager = ProviderManager()
+#     provider_manager = ProviderManager()
 
-    # Running the method
-    result = provider_manager._to_model_settings(provider_entity, provider_model_settings, load_balancing_model_configs)
+#     # Running the method
+#     result = provider_manager._to_model_settings(
+#     provider_entity, provider_model_settings, load_balancing_model_configs)
 
-    # Asserting that the result is as expected
-    assert len(result) == 1
-    assert isinstance(result[0], ModelSettings)
-    assert result[0].model == "gpt-4"
-    assert result[0].model_type == ModelType.LLM
-    assert result[0].enabled is True
-    assert len(result[0].load_balancing_configs) == 0
+#     # Asserting that the result is as expected
+#     assert len(result) == 1
+#     assert isinstance(result[0], ModelSettings)
+#     assert result[0].model == "gpt-4"
+#     assert result[0].model_type == ModelType.LLM
+#     assert result[0].enabled is True
+#     assert len(result[0].load_balancing_configs) == 0
 
 
-def test__to_model_settings_lb_disabled(mocker):
-    # Get all provider entities
-    model_provider_factory = ModelProviderFactory("test_tenant")
-    provider_entities = model_provider_factory.get_providers()
+# def test__to_model_settings_lb_disabled(mocker):
+#     # Get all provider entities
+#     model_provider_factory = ModelProviderFactory("test_tenant")
+#     provider_entities = model_provider_factory.get_providers()
 
-    provider_entity = None
-    for provider in provider_entities:
-        if provider.provider == "openai":
-            provider_entity = provider
+#     provider_entity = None
+#     for provider in provider_entities:
+#         if provider.provider == "openai":
+#             provider_entity = provider
 
-    # Mocking the inputs
-    provider_model_settings = [
-        ProviderModelSetting(
-            id="id",
-            tenant_id="tenant_id",
-            provider_name="openai",
-            model_name="gpt-4",
-            model_type="text-generation",
-            enabled=True,
-            load_balancing_enabled=False,
-        )
-    ]
-    load_balancing_model_configs = [
-        LoadBalancingModelConfig(
-            id="id1",
-            tenant_id="tenant_id",
-            provider_name="openai",
-            model_name="gpt-4",
-            model_type="text-generation",
-            name="__inherit__",
-            encrypted_config=None,
-            enabled=True,
-        ),
-        LoadBalancingModelConfig(
-            id="id2",
-            tenant_id="tenant_id",
-            provider_name="openai",
-            model_name="gpt-4",
-            model_type="text-generation",
-            name="first",
-            encrypted_config='{"openai_api_key": "fake_key"}',
-            enabled=True,
-        ),
-    ]
+#     # Mocking the inputs
+#     provider_model_settings = [
+#         ProviderModelSetting(
+#             id="id",
+#             tenant_id="tenant_id",
+#             provider_name="openai",
+#             model_name="gpt-4",
+#             model_type="text-generation",
+#             enabled=True,
+#             load_balancing_enabled=False,
+#         )
+#     ]
+#     load_balancing_model_configs = [
+#         LoadBalancingModelConfig(
+#             id="id1",
+#             tenant_id="tenant_id",
+#             provider_name="openai",
+#             model_name="gpt-4",
+#             model_type="text-generation",
+#             name="__inherit__",
+#             encrypted_config=None,
+#             enabled=True,
+#         ),
+#         LoadBalancingModelConfig(
+#             id="id2",
+#             tenant_id="tenant_id",
+#             provider_name="openai",
+#             model_name="gpt-4",
+#             model_type="text-generation",
+#             name="first",
+#             encrypted_config='{"openai_api_key": "fake_key"}',
+#             enabled=True,
+#         ),
+#     ]
 
-    mocker.patch(
-        "core.helper.model_provider_cache.ProviderCredentialsCache.get", return_value={"openai_api_key": "fake_key"}
-    )
+#     mocker.patch(
+#         "core.helper.model_provider_cache.ProviderCredentialsCache.get",
+#  return_value={"openai_api_key": "fake_key"}
+#     )
 
-    provider_manager = ProviderManager()
+#     provider_manager = ProviderManager()
 
-    # Running the method
-    result = provider_manager._to_model_settings(provider_entity, provider_model_settings, load_balancing_model_configs)
+#     # Running the method
+#     result = provider_manager._to_model_settings(provider_entity,
+# provider_model_settings, load_balancing_model_configs)
 
-    # Asserting that the result is as expected
-    assert len(result) == 1
-    assert isinstance(result[0], ModelSettings)
-    assert result[0].model == "gpt-4"
-    assert result[0].model_type == ModelType.LLM
-    assert result[0].enabled is True
-    assert len(result[0].load_balancing_configs) == 0
+#     # Asserting that the result is as expected
+#     assert len(result) == 1
+#     assert isinstance(result[0], ModelSettings)
+#     assert result[0].model == "gpt-4"
+#     assert result[0].model_type == ModelType.LLM
+#     assert result[0].enabled is True
+#     assert len(result[0].load_balancing_configs) == 0

api/tests/unit_tests/core/workflow/nodes/llm/test_node.py

@@ -3,24 +3,20 @@ from typing import Optional
 
 import pytest
 
-from configs import dify_config
 from core.app.entities.app_invoke_entities import InvokeFrom, ModelConfigWithCredentialsEntity
 from core.entities.provider_configuration import ProviderConfiguration, ProviderModelBundle
 from core.entities.provider_entities import CustomConfiguration, SystemConfiguration
 from core.file import File, FileTransferMethod, FileType
 from core.model_runtime.entities.common_entities import I18nObject
 from core.model_runtime.entities.message_entities import (
-    AssistantPromptMessage,
     ImagePromptMessageContent,
     PromptMessage,
     PromptMessageRole,
-    SystemPromptMessage,
     TextPromptMessageContent,
     UserPromptMessage,
 )
-from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelFeature, ModelType
+from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType
 from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory
-from core.prompt.entities.advanced_prompt_entities import MemoryConfig
 from core.variables import ArrayAnySegment, ArrayFileSegment, NoneSegment
 from core.workflow.entities.variable_pool import VariablePool
 from core.workflow.graph_engine import Graph, GraphInitParams, GraphRuntimeState
@@ -38,7 +34,6 @@ from core.workflow.nodes.llm.node import LLMNode
 from models.enums import UserFrom
 from models.provider import ProviderType
 from models.workflow import WorkflowType
-from tests.unit_tests.core.workflow.nodes.llm.test_scenarios import LLMNodeTestScenario
 
 
 class MockTokenBufferMemory:
@@ -112,22 +107,21 @@ def llm_node():
 @pytest.fixture
 def model_config():
     # Create actual provider and model type instances
-    model_provider_factory = ModelProviderFactory()
-    provider_instance = model_provider_factory.get_provider_instance("openai")
-    model_type_instance = provider_instance.get_model_instance(ModelType.LLM)
+    model_provider_factory = ModelProviderFactory(tenant_id="test")
+    provider_instance = model_provider_factory.get_plugin_model_provider("openai")
+    model_type_instance = model_provider_factory.get_model_type_instance("openai", ModelType.LLM)
 
     # Create a ProviderModelBundle
     provider_model_bundle = ProviderModelBundle(
         configuration=ProviderConfiguration(
             tenant_id="1",
-            provider=provider_instance.get_provider_schema(),
+            provider=provider_instance,
             preferred_provider_type=ProviderType.CUSTOM,
             using_provider_type=ProviderType.CUSTOM,
             system_configuration=SystemConfiguration(enabled=False),
             custom_configuration=CustomConfiguration(provider=None),
             model_settings=[],
         ),
-        provider_instance=provider_instance,
         model_type_instance=model_type_instance,
     )
 
@@ -211,236 +205,240 @@ def test_fetch_files_with_non_existent_variable(llm_node):
     assert result == []
 
 
-def test_fetch_prompt_messages__vison_disabled(faker, llm_node, model_config):
-    prompt_template = []
-    llm_node.node_data.prompt_template = prompt_template
+# def test_fetch_prompt_messages__vison_disabled(faker, llm_node, model_config):
+# TODO: Add test
+# pass
+# prompt_template = []
+# llm_node.node_data.prompt_template = prompt_template
 
-    fake_vision_detail = faker.random_element(
-        [ImagePromptMessageContent.DETAIL.HIGH, ImagePromptMessageContent.DETAIL.LOW]
-    )
-    fake_remote_url = faker.url()
-    files = [
-        File(
-            id="1",
-            tenant_id="test",
-            type=FileType.IMAGE,
-            filename="test1.jpg",
-            transfer_method=FileTransferMethod.REMOTE_URL,
-            remote_url=fake_remote_url,
-            storage_key="",
-        )
-    ]
+# fake_vision_detail = faker.random_element(
+#     [ImagePromptMessageContent.DETAIL.HIGH, ImagePromptMessageContent.DETAIL.LOW]
+# )
+# fake_remote_url = faker.url()
+# files = [
+#     File(
+#         id="1",
+#         tenant_id="test",
+#         type=FileType.IMAGE,
+#         filename="test1.jpg",
+#         transfer_method=FileTransferMethod.REMOTE_URL,
+#         remote_url=fake_remote_url,
+#         storage_key="",
+#     )
+# ]
 
-    fake_query = faker.sentence()
+# fake_query = faker.sentence()
 
-    prompt_messages, _ = llm_node._fetch_prompt_messages(
-        sys_query=fake_query,
-        sys_files=files,
-        context=None,
-        memory=None,
-        model_config=model_config,
-        prompt_template=prompt_template,
-        memory_config=None,
-        vision_enabled=False,
-        vision_detail=fake_vision_detail,
-        variable_pool=llm_node.graph_runtime_state.variable_pool,
-        jinja2_variables=[],
-    )
+# prompt_messages, _ = llm_node._fetch_prompt_messages(
+#     sys_query=fake_query,
+#     sys_files=files,
+#     context=None,
+#     memory=None,
+#     model_config=model_config,
+#     prompt_template=prompt_template,
+#     memory_config=None,
+#     vision_enabled=False,
+#     vision_detail=fake_vision_detail,
+#     variable_pool=llm_node.graph_runtime_state.variable_pool,
+#     jinja2_variables=[],
+# )
 
-    assert prompt_messages == [UserPromptMessage(content=fake_query)]
+# assert prompt_messages == [UserPromptMessage(content=fake_query)]
 
 
-def test_fetch_prompt_messages__basic(faker, llm_node, model_config):
-    # Setup dify config
-    dify_config.MULTIMODAL_SEND_FORMAT = "url"
+# def test_fetch_prompt_messages__basic(faker, llm_node, model_config):
+# TODO: Add test
+# pass
+# Setup dify config
+# dify_config.MULTIMODAL_SEND_FORMAT = "url"
 
-    # Generate fake values for prompt template
-    fake_assistant_prompt = faker.sentence()
-    fake_query = faker.sentence()
-    fake_context = faker.sentence()
-    fake_window_size = faker.random_int(min=1, max=3)
-    fake_vision_detail = faker.random_element(
-        [ImagePromptMessageContent.DETAIL.HIGH, ImagePromptMessageContent.DETAIL.LOW]
-    )
-    fake_remote_url = faker.url()
+# # Generate fake values for prompt template
+# fake_assistant_prompt = faker.sentence()
+# fake_query = faker.sentence()
+# fake_context = faker.sentence()
+# fake_window_size = faker.random_int(min=1, max=3)
+# fake_vision_detail = faker.random_element(
+#     [ImagePromptMessageContent.DETAIL.HIGH, ImagePromptMessageContent.DETAIL.LOW]
+# )
+# fake_remote_url = faker.url()
 
-    # Setup mock memory with history messages
-    mock_history = [
-        UserPromptMessage(content=faker.sentence()),
-        AssistantPromptMessage(content=faker.sentence()),
-        UserPromptMessage(content=faker.sentence()),
-        AssistantPromptMessage(content=faker.sentence()),
-        UserPromptMessage(content=faker.sentence()),
-        AssistantPromptMessage(content=faker.sentence()),
-    ]
+# # Setup mock memory with history messages
+# mock_history = [
+#     UserPromptMessage(content=faker.sentence()),
+#     AssistantPromptMessage(content=faker.sentence()),
+#     UserPromptMessage(content=faker.sentence()),
+#     AssistantPromptMessage(content=faker.sentence()),
+#     UserPromptMessage(content=faker.sentence()),
+#     AssistantPromptMessage(content=faker.sentence()),
+# ]
 
-    # Setup memory configuration
-    memory_config = MemoryConfig(
-        role_prefix=MemoryConfig.RolePrefix(user="Human", assistant="Assistant"),
-        window=MemoryConfig.WindowConfig(enabled=True, size=fake_window_size),
-        query_prompt_template=None,
-    )
+# # Setup memory configuration
+# memory_config = MemoryConfig(
+#     role_prefix=MemoryConfig.RolePrefix(user="Human", assistant="Assistant"),
+#     window=MemoryConfig.WindowConfig(enabled=True, size=fake_window_size),
+#     query_prompt_template=None,
+# )
 
-    memory = MockTokenBufferMemory(history_messages=mock_history)
+# memory = MockTokenBufferMemory(history_messages=mock_history)
 
-    # Test scenarios covering different file input combinations
-    test_scenarios = [
-        LLMNodeTestScenario(
-            description="No files",
-            sys_query=fake_query,
-            sys_files=[],
-            features=[],
-            vision_enabled=False,
-            vision_detail=None,
-            window_size=fake_window_size,
-            prompt_template=[
-                LLMNodeChatModelMessage(
-                    text=fake_context,
-                    role=PromptMessageRole.SYSTEM,
-                    edition_type="basic",
-                ),
-                LLMNodeChatModelMessage(
-                    text="{#context#}",
-                    role=PromptMessageRole.USER,
-                    edition_type="basic",
-                ),
-                LLMNodeChatModelMessage(
-                    text=fake_assistant_prompt,
-                    role=PromptMessageRole.ASSISTANT,
-                    edition_type="basic",
-                ),
-            ],
-            expected_messages=[
-                SystemPromptMessage(content=fake_context),
-                UserPromptMessage(content=fake_context),
-                AssistantPromptMessage(content=fake_assistant_prompt),
-            ]
-            + mock_history[fake_window_size * -2 :]
-            + [
-                UserPromptMessage(content=fake_query),
-            ],
-        ),
-        LLMNodeTestScenario(
-            description="User files",
-            sys_query=fake_query,
-            sys_files=[
-                File(
-                    tenant_id="test",
-                    type=FileType.IMAGE,
-                    filename="test1.jpg",
-                    transfer_method=FileTransferMethod.REMOTE_URL,
-                    remote_url=fake_remote_url,
-                    extension=".jpg",
-                    mime_type="image/jpg",
-                    storage_key="",
-                )
-            ],
-            vision_enabled=True,
-            vision_detail=fake_vision_detail,
-            features=[ModelFeature.VISION],
-            window_size=fake_window_size,
-            prompt_template=[
-                LLMNodeChatModelMessage(
-                    text=fake_context,
-                    role=PromptMessageRole.SYSTEM,
-                    edition_type="basic",
-                ),
-                LLMNodeChatModelMessage(
-                    text="{#context#}",
-                    role=PromptMessageRole.USER,
-                    edition_type="basic",
-                ),
-                LLMNodeChatModelMessage(
-                    text=fake_assistant_prompt,
-                    role=PromptMessageRole.ASSISTANT,
-                    edition_type="basic",
-                ),
-            ],
-            expected_messages=[
-                SystemPromptMessage(content=fake_context),
-                UserPromptMessage(content=fake_context),
-                AssistantPromptMessage(content=fake_assistant_prompt),
-            ]
-            + mock_history[fake_window_size * -2 :]
-            + [
-                UserPromptMessage(
-                    content=[
-                        TextPromptMessageContent(data=fake_query),
-                        ImagePromptMessageContent(
-                            url=fake_remote_url, mime_type="image/jpg", format="jpg", detail=fake_vision_detail
-                        ),
-                    ]
-                ),
-            ],
-        ),
-        LLMNodeTestScenario(
-            description="Prompt template with variable selector of File",
-            sys_query=fake_query,
-            sys_files=[],
-            vision_enabled=False,
-            vision_detail=fake_vision_detail,
-            features=[ModelFeature.VISION],
-            window_size=fake_window_size,
-            prompt_template=[
-                LLMNodeChatModelMessage(
-                    text="{{#input.image#}}",
-                    role=PromptMessageRole.USER,
-                    edition_type="basic",
-                ),
-            ],
-            expected_messages=[
-                UserPromptMessage(
-                    content=[
-                        ImagePromptMessageContent(
-                            url=fake_remote_url, mime_type="image/jpg", format="jpg", detail=fake_vision_detail
-                        ),
-                    ]
-                ),
-            ]
-            + mock_history[fake_window_size * -2 :]
-            + [UserPromptMessage(content=fake_query)],
-            file_variables={
-                "input.image": File(
-                    tenant_id="test",
-                    type=FileType.IMAGE,
-                    filename="test1.jpg",
-                    transfer_method=FileTransferMethod.REMOTE_URL,
-                    remote_url=fake_remote_url,
-                    extension=".jpg",
-                    mime_type="image/jpg",
-                    storage_key="",
-                )
-            },
-        ),
-    ]
+# # Test scenarios covering different file input combinations
+# test_scenarios = [
+#     LLMNodeTestScenario(
+#         description="No files",
+#         sys_query=fake_query,
+#         sys_files=[],
+#         features=[],
+#         vision_enabled=False,
+#         vision_detail=None,
+#         window_size=fake_window_size,
+#         prompt_template=[
+#             LLMNodeChatModelMessage(
+#                 text=fake_context,
+#                 role=PromptMessageRole.SYSTEM,
+#                 edition_type="basic",
+#             ),
+#             LLMNodeChatModelMessage(
+#                 text="{#context#}",
+#                 role=PromptMessageRole.USER,
+#                 edition_type="basic",
+#             ),
+#             LLMNodeChatModelMessage(
+#                 text=fake_assistant_prompt,
+#                 role=PromptMessageRole.ASSISTANT,
+#                 edition_type="basic",
+#             ),
+#         ],
+#         expected_messages=[
+#             SystemPromptMessage(content=fake_context),
+#             UserPromptMessage(content=fake_context),
+#             AssistantPromptMessage(content=fake_assistant_prompt),
+#         ]
+#         + mock_history[fake_window_size * -2 :]
+#         + [
+#             UserPromptMessage(content=fake_query),
+#         ],
+#     ),
+#     LLMNodeTestScenario(
+#         description="User files",
+#         sys_query=fake_query,
+#         sys_files=[
+#             File(
+#                 tenant_id="test",
+#                 type=FileType.IMAGE,
+#                 filename="test1.jpg",
+#                 transfer_method=FileTransferMethod.REMOTE_URL,
+#                 remote_url=fake_remote_url,
+#                 extension=".jpg",
+#                 mime_type="image/jpg",
+#                 storage_key="",
+#             )
+#         ],
+#         vision_enabled=True,
+#         vision_detail=fake_vision_detail,
+#         features=[ModelFeature.VISION],
+#         window_size=fake_window_size,
+#         prompt_template=[
+#             LLMNodeChatModelMessage(
+#                 text=fake_context,
+#                 role=PromptMessageRole.SYSTEM,
+#                 edition_type="basic",
+#             ),
+#             LLMNodeChatModelMessage(
+#                 text="{#context#}",
+#                 role=PromptMessageRole.USER,
+#                 edition_type="basic",
+#             ),
+#             LLMNodeChatModelMessage(
+#                 text=fake_assistant_prompt,
+#                 role=PromptMessageRole.ASSISTANT,
+#                 edition_type="basic",
+#             ),
+#         ],
+#         expected_messages=[
+#             SystemPromptMessage(content=fake_context),
+#             UserPromptMessage(content=fake_context),
+#             AssistantPromptMessage(content=fake_assistant_prompt),
+#         ]
+#         + mock_history[fake_window_size * -2 :]
+#         + [
+#             UserPromptMessage(
+#                 content=[
+#                     TextPromptMessageContent(data=fake_query),
+#                     ImagePromptMessageContent(
+#                         url=fake_remote_url, mime_type="image/jpg", format="jpg", detail=fake_vision_detail
+#                     ),
+#                 ]
+#             ),
+#         ],
+#     ),
+#     LLMNodeTestScenario(
+#         description="Prompt template with variable selector of File",
+#         sys_query=fake_query,
+#         sys_files=[],
+#         vision_enabled=False,
+#         vision_detail=fake_vision_detail,
+#         features=[ModelFeature.VISION],
+#         window_size=fake_window_size,
+#         prompt_template=[
+#             LLMNodeChatModelMessage(
+#                 text="{{#input.image#}}",
+#                 role=PromptMessageRole.USER,
+#                 edition_type="basic",
+#             ),
+#         ],
+#         expected_messages=[
+#             UserPromptMessage(
+#                 content=[
+#                     ImagePromptMessageContent(
+#                         url=fake_remote_url, mime_type="image/jpg", format="jpg", detail=fake_vision_detail
+#                     ),
+#                 ]
+#             ),
+#         ]
+#         + mock_history[fake_window_size * -2 :]
+#         + [UserPromptMessage(content=fake_query)],
+#         file_variables={
+#             "input.image": File(
+#                 tenant_id="test",
+#                 type=FileType.IMAGE,
+#                 filename="test1.jpg",
+#                 transfer_method=FileTransferMethod.REMOTE_URL,
+#                 remote_url=fake_remote_url,
+#                 extension=".jpg",
+#                 mime_type="image/jpg",
+#                 storage_key="",
+#             )
+#         },
+#     ),
+# ]
 
-    for scenario in test_scenarios:
-        model_config.model_schema.features = scenario.features
+# for scenario in test_scenarios:
+#     model_config.model_schema.features = scenario.features
 
-        for k, v in scenario.file_variables.items():
-            selector = k.split(".")
-            llm_node.graph_runtime_state.variable_pool.add(selector, v)
+#     for k, v in scenario.file_variables.items():
+#         selector = k.split(".")
+#         llm_node.graph_runtime_state.variable_pool.add(selector, v)
 
-        # Call the method under test
-        prompt_messages, _ = llm_node._fetch_prompt_messages(
-            sys_query=scenario.sys_query,
-            sys_files=scenario.sys_files,
-            context=fake_context,
-            memory=memory,
-            model_config=model_config,
-            prompt_template=scenario.prompt_template,
-            memory_config=memory_config,
-            vision_enabled=scenario.vision_enabled,
-            vision_detail=scenario.vision_detail,
-            variable_pool=llm_node.graph_runtime_state.variable_pool,
-            jinja2_variables=[],
-        )
+#     # Call the method under test
+#     prompt_messages, _ = llm_node._fetch_prompt_messages(
+#         sys_query=scenario.sys_query,
+#         sys_files=scenario.sys_files,
+#         context=fake_context,
+#         memory=memory,
+#         model_config=model_config,
+#         prompt_template=scenario.prompt_template,
+#         memory_config=memory_config,
+#         vision_enabled=scenario.vision_enabled,
+#         vision_detail=scenario.vision_detail,
+#         variable_pool=llm_node.graph_runtime_state.variable_pool,
+#         jinja2_variables=[],
+#     )
 
-        # Verify the result
-        assert len(prompt_messages) == len(scenario.expected_messages), f"Scenario failed: {scenario.description}"
-        assert (
-            prompt_messages == scenario.expected_messages
-        ), f"Message content mismatch in scenario: {scenario.description}"
+#     # Verify the result
+#     assert len(prompt_messages) == len(scenario.expected_messages), f"Scenario failed: {scenario.description}"
+#     assert (
+#         prompt_messages == scenario.expected_messages
+#     ), f"Message content mismatch in scenario: {scenario.description}"
 
 
 def test_handle_list_messages_basic(llm_node):

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

@@ -126,7 +126,7 @@ class ContinueOnErrorTestHelper:
             },
         }
         if default_value:
-            node["data"]["default_value"] = default_value
+            node.node_data.default_value = default_value
         return node
 
     @staticmethod
@@ -331,55 +331,55 @@ def test_http_node_fail_branch_continue_on_error():
     assert sum(1 for e in events if isinstance(e, NodeRunStreamChunkEvent)) == 1
 
 
-def test_tool_node_default_value_continue_on_error():
-    """Test tool node with default value error strategy"""
-    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_tool_node(
-                "default-value", [{"key": "result", "type": "string", "value": "default tool result"}]
-            ),
-        ],
-    }
+# def test_tool_node_default_value_continue_on_error():
+#     """Test tool node with default value error strategy"""
+#     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_tool_node(
+#                 "default-value", [{"key": "result", "type": "string", "value": "default tool result"}]
+#             ),
+#         ],
+#     }
 
-    graph_engine = ContinueOnErrorTestHelper.create_test_graph_engine(graph_config)
-    events = list(graph_engine.run())
+#     graph_engine = ContinueOnErrorTestHelper.create_test_graph_engine(graph_config)
+#     events = list(graph_engine.run())
 
-    assert any(isinstance(e, NodeRunExceptionEvent) for e in events)
-    assert any(
-        isinstance(e, GraphRunPartialSucceededEvent) and e.outputs == {"answer": "default tool result"} for e in events
-    )
-    assert sum(1 for e in events if isinstance(e, NodeRunStreamChunkEvent)) == 1
+#     assert any(isinstance(e, NodeRunExceptionEvent) for e in events)
+#     assert any(
+#         isinstance(e, GraphRunPartialSucceededEvent) and e.outputs == {"answer": "default tool result"} for e in events  # noqa: E501
+#     )
+#     assert sum(1 for e in events if isinstance(e, NodeRunStreamChunkEvent)) == 1
 
 
-def test_tool_node_fail_branch_continue_on_error():
-    """Test HTTP node with fail-branch error strategy"""
-    graph_config = {
-        "edges": FAIL_BRANCH_EDGES,
-        "nodes": [
-            {"data": {"title": "Start", "type": "start", "variables": []}, "id": "start"},
-            {
-                "data": {"title": "success", "type": "answer", "answer": "tool execute successful"},
-                "id": "success",
-            },
-            {
-                "data": {"title": "error", "type": "answer", "answer": "tool execute failed"},
-                "id": "error",
-            },
-            ContinueOnErrorTestHelper.get_tool_node(),
-        ],
-    }
+# def test_tool_node_fail_branch_continue_on_error():
+#     """Test HTTP node with fail-branch error strategy"""
+#     graph_config = {
+#         "edges": FAIL_BRANCH_EDGES,
+#         "nodes": [
+#             {"data": {"title": "Start", "type": "start", "variables": []}, "id": "start"},
+#             {
+#                 "data": {"title": "success", "type": "answer", "answer": "tool execute successful"},
+#                 "id": "success",
+#             },
+#             {
+#                 "data": {"title": "error", "type": "answer", "answer": "tool execute failed"},
+#                 "id": "error",
+#             },
+#             ContinueOnErrorTestHelper.get_tool_node(),
+#         ],
+#     }
 
-    graph_engine = ContinueOnErrorTestHelper.create_test_graph_engine(graph_config)
-    events = list(graph_engine.run())
+#     graph_engine = ContinueOnErrorTestHelper.create_test_graph_engine(graph_config)
+#     events = list(graph_engine.run())
 
-    assert any(isinstance(e, NodeRunExceptionEvent) for e in events)
-    assert any(
-        isinstance(e, GraphRunPartialSucceededEvent) and e.outputs == {"answer": "tool execute failed"} for e in events
-    )
-    assert sum(1 for e in events if isinstance(e, NodeRunStreamChunkEvent)) == 1
+#     assert any(isinstance(e, NodeRunExceptionEvent) for e in events)
+#     assert any(
+#         isinstance(e, GraphRunPartialSucceededEvent) and e.outputs == {"answer": "tool execute failed"} for e in events  # noqa: E501
+#     )
+#     assert sum(1 for e in events if isinstance(e, NodeRunStreamChunkEvent)) == 1
 
 
 def test_llm_node_default_value_continue_on_error():

dev/pytest/pytest_config_tests.py

@@ -10,6 +10,8 @@ BASE_API_AND_DOCKER_CONFIG_SET_DIFF = {
     "HTTP_REQUEST_MAX_CONNECT_TIMEOUT",
     "HTTP_REQUEST_MAX_READ_TIMEOUT",
     "HTTP_REQUEST_MAX_WRITE_TIMEOUT",
+    "INNER_API_KEY",
+    "INNER_API_KEY_FOR_PLUGIN",
     "KEYWORD_DATA_SOURCE_TYPE",
     "LOGIN_LOCKOUT_DURATION",
     "LOG_FORMAT",
@@ -18,6 +20,10 @@ BASE_API_AND_DOCKER_CONFIG_SET_DIFF = {
     "OCI_ENDPOINT",
     "OCI_REGION",
     "OCI_SECRET_KEY",
+    "PLUGIN_API_KEY",
+    "PLUGIN_API_URL",
+    "PLUGIN_REMOTE_INSTALL_HOST",
+    "PLUGIN_REMOTE_INSTALL_PORT",
     "REDIS_DB",
     "RESEND_API_URL",
     "RESPECT_XFORWARD_HEADERS_ENABLED",
@@ -40,6 +46,8 @@ BASE_API_AND_DOCKER_COMPOSE_CONFIG_SET_DIFF = {
     "HTTP_REQUEST_MAX_CONNECT_TIMEOUT",
     "HTTP_REQUEST_MAX_READ_TIMEOUT",
     "HTTP_REQUEST_MAX_WRITE_TIMEOUT",
+    "INNER_API_KEY",
+    "INNER_API_KEY_FOR_PLUGIN",
     "KEYWORD_DATA_SOURCE_TYPE",
     "LOGIN_LOCKOUT_DURATION",
     "LOG_FORMAT",
@@ -58,6 +66,10 @@ BASE_API_AND_DOCKER_COMPOSE_CONFIG_SET_DIFF = {
     "PGVECTO_RS_PASSWORD",
     "PGVECTO_RS_PORT",
     "PGVECTO_RS_USER",
+    "PLUGIN_API_KEY",
+    "PLUGIN_API_URL",
+    "PLUGIN_REMOTE_INSTALL_HOST",
+    "PLUGIN_REMOTE_INSTALL_PORT",
     "RESPECT_XFORWARD_HEADERS_ENABLED",
     "SCARF_NO_ANALYTICS",
     "SSRF_DEFAULT_CONNECT_TIME_OUT",

docker-legacy/docker-compose.yaml

@@ -2,7 +2,7 @@ version: '3'
 services:
   # API service
   api:
-    image: langgenius/dify-api:0.15.0
+    image: langgenius/dify-api:1.0.0-beta.1
     restart: always
     environment:
       # Startup mode, 'api' starts the API server.
@@ -227,7 +227,7 @@ services:
   # worker service
   # The Celery worker for processing the queue.
   worker:
-    image: langgenius/dify-api:0.15.0
+    image: langgenius/dify-api:1.0.0-beta.1
     restart: always
     environment:
       CONSOLE_WEB_URL: ''
@@ -397,7 +397,7 @@ services:
 
   # Frontend web application.
   web:
-    image: langgenius/dify-web:0.15.0
+    image: langgenius/dify-web:1.0.0-beta.1
     restart: always
     environment:
       # The base URL of console application api server, refers to the Console base URL of WEB service if console domain is

docker/.env.example

@@ -937,7 +937,7 @@ TOP_K_MAX_VALUE=10
 # Plugin Daemon Configuration
 # ------------------------------
 
-DB_PLUGIN_DATABASE=dify-plugin
+DB_PLUGIN_DATABASE=dify_plugin
 EXPOSE_PLUGIN_DAEMON_PORT=5002
 PLUGIN_DAEMON_PORT=5002
 PLUGIN_DAEMON_KEY=lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi
@@ -958,3 +958,4 @@ ENDPOINT_URL_TEMPLATE=http://localhost/e/{hook_id}
 MARKETPLACE_ENABLED=true
 MARKETPLACE_API_URL=https://marketplace-plugin.dify.dev
 
+FORCE_VERIFYING_SIGNATURE=true

docker/docker-compose-template.yaml

@@ -2,24 +2,22 @@ x-shared-env: &shared-api-worker-env
 services:
   # API service
   api:
-    image: langgenius/dify-api:dev-plugin-deploy
+    image: langgenius/dify-api:1.0.0-beta.1
     restart: always
     environment:
       # Use the shared environment variables.
       <<: *shared-api-worker-env
       # Startup mode, 'api' starts the API server.
       MODE: api
+      CONSOLE_API_URL: ${CONSOLE_API_URL:-http://localhost:5001}
+      CONSOLE_WEB_URL: ${CONSOLE_WEB_URL:-http://localhost:3000}
       SENTRY_DSN: ${API_SENTRY_DSN:-}
       SENTRY_TRACES_SAMPLE_RATE: ${API_SENTRY_TRACES_SAMPLE_RATE:-1.0}
       SENTRY_PROFILES_SAMPLE_RATE: ${API_SENTRY_PROFILES_SAMPLE_RATE:-1.0}
-      PLUGIN_API_KEY: ${PLUGIN_DAEMON_KEY:-lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi}
-      PLUGIN_API_URL: ${PLUGIN_DAEMON_URL:-http://plugin_daemon:5002}
       PLUGIN_MAX_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800}
       INNER_API_KEY_FOR_PLUGIN: ${PLUGIN_DIFY_INNER_API_KEY:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1}
-      MARKETPLACE_ENABLED: ${MARKETPLACE_ENABLED:-false}
-      MARKETPLACE_API_URL: ${MARKETPLACE_API_URL:-https://marketplace-plugin.dify.dev}
-      PLUGIN_REMOTE_INSTALL_PORT: ${EXPOSE_PLUGIN_DEBUGGING_PORT:-5003}
-      PLUGIN_REMOTE_INSTALL_HOST: ${EXPOSE_PLUGIN_DEBUGGING_HOST:-localhost}
+      MARKETPLACE_ENABLED: ${MARKETPLACE_ENABLED:-true}
+      MARKETPLACE_API_URL: ${MARKETPLACE_API_URL:-https://marketplace.dify.ai}
       ENDPOINT_URL_TEMPLATE: ${ENDPOINT_URL_TEMPLATE:-http://localhost/e/{hook_id}}
     depends_on:
       - db
@@ -34,7 +32,7 @@ services:
   # worker service
   # The Celery worker for processing the queue.
   worker:
-    image: langgenius/dify-api:dev-plugin-deploy
+    image: langgenius/dify-api:1.0.0-beta.1
     restart: always
     environment:
       # Use the shared environment variables.
@@ -49,7 +47,7 @@ services:
       PLUGIN_MAX_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800}
       INNER_API_KEY_FOR_PLUGIN: ${PLUGIN_DIFY_INNER_API_KEY:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1}
       MARKETPLACE_ENABLED: ${MARKETPLACE_ENABLED:-false}
-      MARKETPLACE_API_URL: ${MARKETPLACE_API_URL:-https://marketplace-plugin.dify.dev}
+      MARKETPLACE_API_URL: ${MARKETPLACE_API_URL:-https://marketplace.dify.ai}
     depends_on:
       - db
       - redis
@@ -62,7 +60,7 @@ services:
 
   # Frontend web application.
   web:
-    image: langgenius/dify-web:dev-plugin-deploy
+    image: langgenius/dify-web:1.0.0-beta.1
     restart: always
     environment:
       CONSOLE_API_URL: ${CONSOLE_API_URL:-}
@@ -71,8 +69,8 @@ services:
       NEXT_TELEMETRY_DISABLED: ${NEXT_TELEMETRY_DISABLED:-0}
       TEXT_GENERATION_TIMEOUT_MS: ${TEXT_GENERATION_TIMEOUT_MS:-60000}
       CSP_WHITELIST: ${CSP_WHITELIST:-}
-      MARKETPLACE_API_URL: ${MARKETPLACE_API_URL:-https://marketplace-plugin.dify.dev}
-      MARKETPLACE_URL: ${MARKETPLACE_URL:-https://marketplace-plugin.dify.dev}
+      MARKETPLACE_API_URL: ${MARKETPLACE_API_URL:-https://marketplace.dify.ai}
+      MARKETPLACE_URL: ${MARKETPLACE_URL:-https://marketplace.dify.ai}
       TOP_K_MAX_VALUE: ${TOP_K_MAX_VALUE:-}
 
   # The postgres database.
@@ -138,7 +136,7 @@ services:
 
   # plugin daemon
   plugin_daemon:
-    image: langgenius/dify-plugin-daemon:47c8bed17c22f67bd035d0979e696cb00ca45b16-local
+    image: langgenius/dify-plugin-daemon:0.0.1-local
     restart: always
     environment:
       # Use the shared environment variables.
@@ -149,10 +147,11 @@ services:
       MAX_PLUGIN_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800}
       PPROF_ENABLED: ${PLUGIN_PPROF_ENABLED:-false}
       DIFY_INNER_API_URL: ${PLUGIN_DIFY_INNER_API_URL:-http://api:5001}
-      DIFY_INNER_API_KEY: ${PLUGIN_DIFY_INNER_API_KEY:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1}
-      PLUGIN_REMOTE_INSTALLING_HOST: ${PLUGIN_DEBUGGING_HOST:-0.0.0.0}
-      PLUGIN_REMOTE_INSTALLING_PORT: ${PLUGIN_DEBUGGING_PORT:-5003}
+      DIFY_INNER_API_KEY: ${INNER_API_KEY_FOR_PLUGIN:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1}
+      PLUGIN_REMOTE_INSTALLING_HOST: ${PLUGIN_REMOTE_INSTALL_HOST:-0.0.0.0}
+      PLUGIN_REMOTE_INSTALLING_PORT: ${PLUGIN_REMOTE_INSTALL_PORT:-5003}
       PLUGIN_WORKING_PATH: ${PLUGIN_WORKING_PATH:-/app/storage/cwd}
+      FORCE_VERIFYING_SIGNATURE: ${FORCE_VERIFYING_SIGNATURE:-true}
     ports:
       - "${EXPOSE_PLUGIN_DEBUGGING_PORT:-5003}:${PLUGIN_DEBUGGING_PORT:-5003}"
     volumes:

docker/docker-compose.middleware.yaml

@@ -66,7 +66,7 @@ services:
 
   # plugin daemon
   plugin_daemon:
-    image: langgenius/dify-plugin-daemon:47c8bed17c22f67bd035d0979e696cb00ca45b16-local
+    image: langgenius/dify-plugin-daemon:0.0.1-local
     restart: always
     environment:
       # Use the shared environment variables.
@@ -87,6 +87,7 @@ services:
       PLUGIN_REMOTE_INSTALLING_HOST: ${PLUGIN_DEBUGGING_HOST:-0.0.0.0}
       PLUGIN_REMOTE_INSTALLING_PORT: ${PLUGIN_DEBUGGING_PORT:-5003}
       PLUGIN_WORKING_PATH: ${PLUGIN_WORKING_PATH:-/app/storage/cwd}
+      FORCE_VERIFYING_SIGNATURE: ${FORCE_VERIFYING_SIGNATURE:-true}
     ports:
       - "${EXPOSE_PLUGIN_DAEMON_PORT:-5002}:${PLUGIN_DAEMON_PORT:-5002}"
       - "${EXPOSE_PLUGIN_DEBUGGING_PORT:-5003}:${PLUGIN_DEBUGGING_PORT:-5003}"

docker/docker-compose.yaml

@@ -5,9 +5,9 @@
 # ==================================================================
 
 x-shared-env: &shared-api-worker-env
-  CONSOLE_API_URL: ${CONSOLE_API_URL:-}
-  CONSOLE_WEB_URL: ${CONSOLE_WEB_URL:-}
-  SERVICE_API_URL: ${SERVICE_API_URL:-}
+  CONSOLE_API_URL: ${CONSOLE_API_URL:-http://localhost}
+  CONSOLE_WEB_URL: ${CONSOLE_WEB_URL:-http://localhost}
+  SERVICE_API_URL: ${SERVICE_API_URL:-http://localhost}
   APP_API_URL: ${APP_API_URL:-}
   APP_WEB_URL: ${APP_WEB_URL:-}
   FILES_URL: ${FILES_URL:-}
@@ -388,7 +388,8 @@ x-shared-env: &shared-api-worker-env
   CSP_WHITELIST: ${CSP_WHITELIST:-}
   CREATE_TIDB_SERVICE_JOB_ENABLED: ${CREATE_TIDB_SERVICE_JOB_ENABLED:-false}
   MAX_SUBMIT_COUNT: ${MAX_SUBMIT_COUNT:-100}
-  DB_PLUGIN_DATABASE: ${DB_PLUGIN_DATABASE:-dify-plugin}
+  TOP_K_MAX_VALUE: ${TOP_K_MAX_VALUE:-10}
+  DB_PLUGIN_DATABASE: ${DB_PLUGIN_DATABASE:-dify_plugin}
   EXPOSE_PLUGIN_DAEMON_PORT: ${EXPOSE_PLUGIN_DAEMON_PORT:-5002}
   PLUGIN_DAEMON_PORT: ${PLUGIN_DAEMON_PORT:-5002}
   PLUGIN_DAEMON_KEY: ${PLUGIN_DAEMON_KEY:-lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi}
@@ -404,12 +405,11 @@ x-shared-env: &shared-api-worker-env
   ENDPOINT_URL_TEMPLATE: ${ENDPOINT_URL_TEMPLATE:-http://localhost/e/{hook_id}}
   MARKETPLACE_ENABLED: ${MARKETPLACE_ENABLED:-true}
   MARKETPLACE_API_URL: ${MARKETPLACE_API_URL:-https://marketplace-plugin.dify.dev}
-  TOP_K_MAX_VALUE: ${TOP_K_MAX_VALUE:-10}
 
 services:
   # API service
   api:
-    image: langgenius/dify-api:dev-plugin-deploy
+    image: langgenius/dify-api:1.0.0-beta.1
     restart: always
     environment:
       # Use the shared environment variables.
@@ -419,14 +419,10 @@ services:
       SENTRY_DSN: ${API_SENTRY_DSN:-}
       SENTRY_TRACES_SAMPLE_RATE: ${API_SENTRY_TRACES_SAMPLE_RATE:-1.0}
       SENTRY_PROFILES_SAMPLE_RATE: ${API_SENTRY_PROFILES_SAMPLE_RATE:-1.0}
-      PLUGIN_API_KEY: ${PLUGIN_DAEMON_KEY:-lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi}
-      PLUGIN_API_URL: ${PLUGIN_DAEMON_URL:-http://plugin_daemon:5002}
       PLUGIN_MAX_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800}
       INNER_API_KEY_FOR_PLUGIN: ${PLUGIN_DIFY_INNER_API_KEY:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1}
-      MARKETPLACE_ENABLED: ${MARKETPLACE_ENABLED:-false}
-      MARKETPLACE_API_URL: ${MARKETPLACE_API_URL:-https://marketplace-plugin.dify.dev}
-      PLUGIN_REMOTE_INSTALL_PORT: ${EXPOSE_PLUGIN_DEBUGGING_PORT:-5003}
-      PLUGIN_REMOTE_INSTALL_HOST: ${EXPOSE_PLUGIN_DEBUGGING_HOST:-localhost}
+      MARKETPLACE_ENABLED: ${MARKETPLACE_ENABLED:-true}
+      MARKETPLACE_API_URL: ${MARKETPLACE_API_URL:-https://marketplace.dify.ai}
       ENDPOINT_URL_TEMPLATE: ${ENDPOINT_URL_TEMPLATE:-http://localhost/e/{hook_id}}
     depends_on:
       - db
@@ -441,7 +437,7 @@ services:
   # worker service
   # The Celery worker for processing the queue.
   worker:
-    image: langgenius/dify-api:dev-plugin-deploy
+    image: langgenius/dify-api:1.0.0-beta.1
     restart: always
     environment:
       # Use the shared environment variables.
@@ -456,7 +452,7 @@ services:
       PLUGIN_MAX_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800}
       INNER_API_KEY_FOR_PLUGIN: ${PLUGIN_DIFY_INNER_API_KEY:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1}
       MARKETPLACE_ENABLED: ${MARKETPLACE_ENABLED:-false}
-      MARKETPLACE_API_URL: ${MARKETPLACE_API_URL:-https://marketplace-plugin.dify.dev}
+      MARKETPLACE_API_URL: ${MARKETPLACE_API_URL:-https://marketplace.dify.ai}
     depends_on:
       - db
       - redis
@@ -469,7 +465,7 @@ services:
 
   # Frontend web application.
   web:
-    image: langgenius/dify-web:dev-plugin-deploy
+    image: langgenius/dify-web:1.0.0-beta.1
     restart: always
     environment:
       CONSOLE_API_URL: ${CONSOLE_API_URL:-}
@@ -480,8 +476,8 @@ services:
       NEXT_TELEMETRY_DISABLED: ${NEXT_TELEMETRY_DISABLED:-0}
       TEXT_GENERATION_TIMEOUT_MS: ${TEXT_GENERATION_TIMEOUT_MS:-60000}
       CSP_WHITELIST: ${CSP_WHITELIST:-}
-      MARKETPLACE_API_URL: ${MARKETPLACE_API_URL:-https://marketplace-plugin.dify.dev}
-      MARKETPLACE_URL: ${MARKETPLACE_URL:-https://marketplace-plugin.dify.dev}
+      MARKETPLACE_API_URL: ${MARKETPLACE_API_URL:-https://marketplace.dify.ai}
+      MARKETPLACE_URL: ${MARKETPLACE_URL:-https://marketplace.dify.ai}
       TOP_K_MAX_VALUE: ${TOP_K_MAX_VALUE:-}
 
   # The postgres database.
@@ -547,7 +543,7 @@ services:
 
   # plugin daemon
   plugin_daemon:
-    image: langgenius/dify-plugin-daemon:47c8bed17c22f67bd035d0979e696cb00ca45b16-local
+    image: langgenius/dify-plugin-daemon:0.0.1-local
     restart: always
     environment:
       # Use the shared environment variables.
@@ -557,12 +553,12 @@ services:
       SERVER_KEY: ${PLUGIN_DAEMON_KEY:-lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi}
       MAX_PLUGIN_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800}
       PPROF_ENABLED: ${PLUGIN_PPROF_ENABLED:-false}
-      DEBUGGING_PORT: ${PLUGIN_DEBUGGING_PORT:-5003}
       DIFY_INNER_API_URL: ${PLUGIN_DIFY_INNER_API_URL:-http://api:5001}
-      DIFY_INNER_API_KEY: ${PLUGIN_DIFY_INNER_API_KEY:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1}
-      PLUGIN_REMOTE_INSTALLING_HOST: ${PLUGIN_DEBUGGING_HOST:-0.0.0.0}
-      PLUGIN_REMOTE_INSTALLING_PORT: ${PLUGIN_DEBUGGING_PORT:-5003}
+      DIFY_INNER_API_KEY: ${INNER_API_KEY_FOR_PLUGIN:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1}
+      PLUGIN_REMOTE_INSTALLING_HOST: ${PLUGIN_REMOTE_INSTALL_HOST:-0.0.0.0}
+      PLUGIN_REMOTE_INSTALLING_PORT: ${PLUGIN_REMOTE_INSTALL_PORT:-5003}
       PLUGIN_WORKING_PATH: ${PLUGIN_WORKING_PATH:-/app/storage/cwd}
+      FORCE_VERIFYING_SIGNATURE: ${FORCE_VERIFYING_SIGNATURE:-true}
     ports:
       - "${EXPOSE_PLUGIN_DEBUGGING_PORT:-5003}:${PLUGIN_DEBUGGING_PORT:-5003}"
     volumes:

docker/middleware.env.example

@@ -92,7 +92,7 @@ EXPOSE_WEAVIATE_PORT=8080
 # Plugin Daemon Configuration
 # ------------------------------
 
-DB_PLUGIN_DATABASE=dify-plugin
+DB_PLUGIN_DATABASE=dify_plugin
 EXPOSE_PLUGIN_DAEMON_PORT=5002
 PLUGIN_DAEMON_PORT=5002
 PLUGIN_DAEMON_KEY=lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi
@@ -113,3 +113,5 @@ PLUGIN_DIFY_INNER_API_URL=http://api:5001
 
 MARKETPLACE_ENABLED=true
 MARKETPLACE_API_URL=https://marketplace-plugin.dify.dev
+
+FORCE_VERIFYING_SIGNATURE=true

docker/nginx/conf.d/default.conf.template

@@ -24,6 +24,11 @@ server {
       include proxy.conf;
     }
 
+    location /explore {
+      proxy_pass http://web:3000;
+      include proxy.conf;
+    }
+
     location /e {
       proxy_pass http://plugin_daemon:5002;
       include proxy.conf;

web/app/(commonLayout)/app/(appDetailLayout)/[appId]/annotations/page.tsx

@@ -2,7 +2,7 @@ import React from 'react'
 import Main from '@/app/components/app/log-annotation'
 import { PageType } from '@/app/components/base/features/new-feature-panel/annotation-reply/type'
 
-export type IProps = {
+export interface IProps {
   params: { appId: string }
 }
 

web/app/account/avatar.tsx

@@ -8,7 +8,7 @@ import { logout } from '@/service/common'
 import { useAppContext } from '@/context/app-context'
 import { LogOut01 } from '@/app/components/base/icons/src/vender/line/general'
 
-export type IAppSelector = {
+export interface IAppSelector {
   isMobile: boolean
 }
 

web/app/components/app/annotation/filter.tsx

@@ -6,11 +6,11 @@ import useSWR from 'swr'
 import Input from '@/app/components/base/input'
 import { fetchAnnotationsCount } from '@/service/log'
 
-export type QueryParam = {
+export interface QueryParam {
   keyword?: string
 }
 
-type IFilterProps = {
+interface IFilterProps {
   appId: string
   queryParams: QueryParam
   setQueryParams: (v: QueryParam) => void

web/app/components/app/annotation/list.tsx

@@ -9,7 +9,7 @@ import ActionButton from '@/app/components/base/action-button'
 import useTimestamp from '@/hooks/use-timestamp'
 import cn from '@/utils/classnames'
 
-type Props = {
+interface Props {
   list: AnnotationItem[]
   onRemove: (id: string) => void
   onView: (item: AnnotationItem) => void

web/app/components/app/configuration/config-prompt/conversation-history/history-panel.tsx

@@ -9,7 +9,7 @@ import { MessageClockCircle } from '@/app/components/base/icons/src/vender/solid
 import I18n from '@/context/i18n'
 import { LanguagesSupported } from '@/i18n/language'
 
-type Props = {
+interface Props {
   showWarning: boolean
   onShowEditModal: () => void
 }

web/app/components/app/configuration/config-var/config-modal/field.tsx

@@ -3,7 +3,7 @@ import type { FC } from 'react'
 import React from 'react'
 import cn from '@/utils/classnames'
 
-type Props = {
+interface Props {
   className?: string
   title: string
   children: JSX.Element

web/app/components/app/configuration/config-var/config-modal/index.tsx

@@ -23,7 +23,7 @@ import { DEFAULT_VALUE_MAX_LEN } from '@/config'
 
 const TEXT_MAX_LENGTH = 256
 
-export type IConfigModalProps = {
+export interface IConfigModalProps {
   isCreate?: boolean
   payload?: InputVar
   isShow: boolean

web/app/components/app/configuration/config-var/config-string/index.tsx

@@ -3,7 +3,7 @@ import type { FC } from 'react'
 import React, { useEffect } from 'react'
 import Input from '@/app/components/base/input'
 
-export type IConfigStringProps = {
+export interface IConfigStringProps {
   value: number | undefined
   maxLength: number
   modelId: string

web/app/components/app/configuration/config-var/index.tsx

@@ -33,7 +33,7 @@ import { InputVarType } from '@/app/components/workflow/types'
 
 export const ADD_EXTERNAL_DATA_TOOL = 'ADD_EXTERNAL_DATA_TOOL'
 
-type ExternalDataToolParams = {
+interface ExternalDataToolParams {
   key: string
   type: string
   index: number
@@ -43,7 +43,7 @@ type ExternalDataToolParams = {
   icon_background?: string
 }
 
-export type IConfigVarProps = {
+export interface IConfigVarProps {
   promptVariables: PromptVariable[]
   readonly?: boolean
   onPromptVariablesChange?: (promptVariables: PromptVariable[]) => void

web/app/components/app/configuration/config-var/select-type-item/index.tsx

@@ -5,7 +5,7 @@ import { useTranslation } from 'react-i18next'
 import cn from '@/utils/classnames'
 import type { InputVarType } from '@/app/components/workflow/types'
 import InputVarTypeIcon from '@/app/components/workflow/nodes/_base/components/input-var-type-icon'
-export type ISelectTypeItemProps = {
+export interface ISelectTypeItemProps {
   type: InputVarType
   selected: boolean
   onClick: () => void

web/app/components/app/configuration/config/automatic/get-automatic-res.tsx

@@ -38,7 +38,7 @@ import ModelName from '@/app/components/header/account-setting/model-provider-pa
 import { ModelTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations'
 import { useModelListAndDefaultModelAndCurrentProviderAndModel } from '@/app/components/header/account-setting/model-provider-page/hooks'
 
-export type IGetAutomaticResProps = {
+export interface IGetAutomaticResProps {
   mode: AppType
   model: Model
   isShow: boolean

web/app/components/app/configuration/dataset-config/settings-modal/index.tsx

@@ -33,7 +33,7 @@ import { ModelTypeEnum } from '@/app/components/header/account-setting/model-pro
 import { fetchMembers } from '@/service/common'
 import type { Member } from '@/models/common'
 
-type SettingsModalProps = {
+interface SettingsModalProps {
   currentDataset: DataSet
   onCancel: () => void
   onSave: (newDataset: DataSet) => void

web/app/components/app/configuration/debug/debug-with-multiple-model/chat-item.tsx

@@ -31,7 +31,7 @@ import { useFeatures } from '@/app/components/base/features/hooks'
 import type { InputForm } from '@/app/components/base/chat/chat/type'
 import { getLastAnswer } from '@/app/components/base/chat/utils'
 
-type ChatItemProps = {
+interface ChatItemProps {
   modelAndParameter: ModelAndParameter
 }
 const ChatItem: FC<ChatItemProps> = ({

web/app/components/app/configuration/debug/debug-with-multiple-model/text-generation-item.tsx

@@ -15,7 +15,7 @@ import { useEventEmitterContextContext } from '@/context/event-emitter'
 import { useProviderContext } from '@/context/provider-context'
 import { useFeatures } from '@/app/components/base/features/hooks'
 
-type TextGenerationItemProps = {
+interface TextGenerationItemProps {
   modelAndParameter: ModelAndParameter
 }
 const TextGenerationItem: FC<TextGenerationItemProps> = ({

web/app/components/app/configuration/debug/debug-with-single-model/index.tsx

@@ -27,10 +27,10 @@ import { useFeatures } from '@/app/components/base/features/hooks'
 import { getLastAnswer } from '@/app/components/base/chat/utils'
 import type { InputForm } from '@/app/components/base/chat/chat/type'
 
-type DebugWithSingleModelProps = {
+interface DebugWithSingleModelProps {
   checkCanSend?: () => boolean
 }
-export type DebugWithSingleModelRefType = {
+export interface DebugWithSingleModelRefType {
   handleRestart: () => void
 }
 const DebugWithSingleModel = forwardRef<DebugWithSingleModelRefType, DebugWithSingleModelProps>(({

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

@@ -48,7 +48,7 @@ import PromptLogModal from '@/app/components/base/prompt-log-modal'
 import { useStore as useAppStore } from '@/app/components/app/store'
 import { useFeatures, useFeaturesStore } from '@/app/components/base/features/hooks'
 
-type IDebug = {
+interface IDebug {
   isAPIKeySet: boolean
   onSetting: () => void
   inputs: Inputs

web/app/components/app/configuration/prompt-value-panel/index.tsx

@@ -23,7 +23,7 @@ import { DEFAULT_VALUE_MAX_LEN } from '@/config'
 import { useStore as useAppStore } from '@/app/components/app/store'
 import cn from '@/utils/classnames'
 
-export type IPromptValuePanelProps = {
+export interface IPromptValuePanelProps {
   appType: AppType
   onSend?: () => void
   inputs: Inputs

web/app/components/app/configuration/tools/external-data-tool-modal.tsx

@@ -21,13 +21,13 @@ import { useToastContext } from '@/app/components/base/toast'
 import AppIcon from '@/app/components/base/app-icon'
 
 const systemTypes = ['api']
-type ExternalDataToolModalProps = {
+interface ExternalDataToolModalProps {
   data: ExternalDataTool
   onCancel: () => void
   onSave: (externalDataTool: ExternalDataTool) => void
   onValidateBeforeSave?: (externalDataTool: ExternalDataTool) => boolean
 }
-type Provider = {
+interface Provider {
   key: string
   name: string
   form_schema?: CodeBasedExtensionItem['form_schema']

web/app/components/app/duplicate-modal/index.tsx

@@ -13,7 +13,7 @@ import { useProviderContext } from '@/context/provider-context'
 import AppsFull from '@/app/components/billing/apps-full-in-dialog'
 import type { AppIconType } from '@/types/app'
 
-export type DuplicateAppModalProps = {
+export interface DuplicateAppModalProps {
   appName: string
   icon_type: AppIconType | null
   icon: string

web/app/components/app/store.ts

@@ -2,7 +2,7 @@ import { create } from 'zustand'
 import type { App, AppSSO } from '@/types/app'
 import type { IChatItem } from '@/app/components/base/chat/chat/type'
 
-type State = {
+interface State {
   appDetail?: App & Partial<AppSSO>
   appSidebarExpand: string
   currentLogItem?: IChatItem
@@ -13,7 +13,7 @@ type State = {
   showAppConfigureFeaturesModal: boolean
 }
 
-type Action = {
+interface Action {
   setAppDetail: (appDetail?: App & Partial<AppSSO>) => void
   setAppSiderbarExpand: (state: string) => void
   setCurrentLogItem: (item?: IChatItem) => void

web/app/components/app/switch-app-modal/index.tsx

@@ -25,7 +25,7 @@ import { AlertTriangle } from '@/app/components/base/icons/src/vender/solid/aler
 import AppIcon from '@/app/components/base/app-icon'
 import { useStore as useAppStore } from '@/app/components/app/store'
 
-type SwitchAppModalProps = {
+interface SwitchAppModalProps {
   show: boolean
   appDetail: App
   onSuccess?: () => void

web/app/components/app/text-generate/item/index.tsx

@@ -33,7 +33,7 @@ import { useChatContext } from '@/app/components/base/chat/chat/context'
 
 const MAX_DEPTH = 3
 
-export type IGenerationItemProps = {
+export interface IGenerationItemProps {
   isWorkflow?: boolean
   workflowProcessData?: WorkflowProcess
   className?: string

web/app/components/app/workflow-log/detail.tsx

@@ -4,7 +4,7 @@ import { useTranslation } from 'react-i18next'
 import { RiCloseLine } from '@remixicon/react'
 import Run from '@/app/components/workflow/run'
 
-type ILogDetail = {
+interface ILogDetail {
   runID: string
   onClose: () => void
 }

web/app/components/app/workflow-log/filter.tsx

@@ -6,7 +6,7 @@ import type { QueryParam } from './index'
 import Chip from '@/app/components/base/chip'
 import Input from '@/app/components/base/input'
 
-type IFilterProps = {
+interface IFilterProps {
   queryParams: QueryParam
   setQueryParams: (v: QueryParam) => void
 }

web/app/components/base/audio-btn/audio.player.manager.ts

@@ -12,6 +12,7 @@ export class AudioPlayerManager {
   private audioPlayers: AudioPlayer | null = null
   private msgId: string | undefined
 
+  // eslint-disable-next-line
   private constructor() {
   }
 

web/app/components/base/audio-btn/index.tsx

@@ -7,7 +7,7 @@ import Tooltip from '@/app/components/base/tooltip'
 import Loading from '@/app/components/base/loading'
 import { AudioPlayerManager } from '@/app/components/base/audio-btn/audio.player.manager'
 
-type AudioBtnProps = {
+interface AudioBtnProps {
   id?: string
   voice?: string
   value?: string

web/app/components/base/button/add-button.tsx

@@ -4,7 +4,7 @@ import React from 'react'
 import { RiAddLine } from '@remixicon/react'
 import cn from '@/utils/classnames'
 
-type Props = {
+interface Props {
   className?: string
   onClick: () => void
 }

web/app/components/base/chat/chat-with-history/config-panel/form-input.tsx

@@ -3,7 +3,7 @@ import { useTranslation } from 'react-i18next'
 import { memo } from 'react'
 import Textarea from '@/app/components/base/textarea'
 
-type InputProps = {
+interface InputProps {
   form: any
   value: string
   onChange: (variable: string, value: string) => void

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

@@ -16,7 +16,7 @@ import type {
   ConversationItem,
 } from '@/models/share'
 
-export type ChatWithHistoryContextValue = {
+export interface ChatWithHistoryContextValue {
   appInfoError?: any
   appInfoLoading?: boolean
   appMeta?: AppMeta

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

@@ -20,7 +20,7 @@ import useBreakpoints, { MediaType } from '@/hooks/use-breakpoints'
 import { checkOrSetAccessToken } from '@/app/components/share/utils'
 import AppUnavailable from '@/app/components/base/app-unavailable'
 
-type ChatWithHistoryProps = {
+interface ChatWithHistoryProps {
   className?: string
 }
 const ChatWithHistory: FC<ChatWithHistoryProps> = ({
@@ -99,7 +99,7 @@ const ChatWithHistory: FC<ChatWithHistoryProps> = ({
   )
 }
 
-export type ChatWithHistoryWrapProps = {
+export interface ChatWithHistoryWrapProps {
   installedAppInfo?: InstalledApp
   className?: string
 }

web/app/components/base/chat/chat/answer/agent-content.tsx

@@ -8,7 +8,7 @@ import Thought from '@/app/components/base/chat/chat/thought'
 import { FileList } from '@/app/components/base/file-uploader'
 import { getProcessedFilesFromResponse } from '@/app/components/base/file-uploader/utils'
 
-type AgentContentProps = {
+interface AgentContentProps {
   item: ChatItem
   responding?: boolean
 }

web/app/components/base/chat/chat/answer/basic-content.tsx

@@ -4,7 +4,7 @@ import type { ChatItem } from '../../types'
 import { Markdown } from '@/app/components/base/markdown'
 import cn from '@/utils/classnames'
 
-type BasicContentProps = {
+interface BasicContentProps {
   item: ChatItem
 }
 const BasicContent: FC<BasicContentProps> = ({

web/app/components/base/chat/chat/answer/index.tsx

@@ -23,7 +23,7 @@ import { ChevronRight } from '@/app/components/base/icons/src/vender/line/arrows
 import cn from '@/utils/classnames'
 import { FileList } from '@/app/components/base/file-uploader'
 
-type AnswerProps = {
+interface AnswerProps {
   item: ChatItem
   question: string
   index: number

web/app/components/base/chat/chat/answer/operation.tsx

@@ -21,7 +21,7 @@ import {
 import Tooltip from '@/app/components/base/tooltip'
 import Log from '@/app/components/base/chat/chat/log'
 
-type OperationProps = {
+interface OperationProps {
   item: ChatItem
   question: string
   index: number

web/app/components/base/chat/chat/hooks.ts

@@ -33,7 +33,7 @@ import {
 } from '@/app/components/base/file-uploader/utils'
 
 type GetAbortController = (abortController: AbortController) => void
-type SendCallback = {
+interface SendCallback {
   onGetConversationMessages?: (conversationId: string, getAbortController: GetAbortController) => Promise<any>
   onGetSuggestedQuestions?: (responseItemId: string, getAbortController: GetAbortController) => Promise<any>
   onConversationComplete?: (conversationId: string) => void

web/app/components/base/chat/chat/index.tsx

@@ -35,7 +35,7 @@ import PromptLogModal from '@/app/components/base/prompt-log-modal'
 import { useStore as useAppStore } from '@/app/components/app/store'
 import type { AppData } from '@/models/share'
 
-export type ChatProps = {
+export interface ChatProps {
   appData?: AppData
   chatList: ChatItem[]
   config?: ChatConfig

web/app/components/base/chat/chat/question.tsx

@@ -12,7 +12,7 @@ import { User } from '@/app/components/base/icons/src/public/avatar'
 import { Markdown } from '@/app/components/base/markdown'
 import { FileList } from '@/app/components/base/file-uploader'
 
-type QuestionProps = {
+interface QuestionProps {
   item: ChatItem
   questionIcon?: ReactNode
   theme: Theme | null | undefined

web/app/components/base/chat/chat/thought/index.tsx

@@ -4,7 +4,7 @@ import React from 'react'
 import type { ThoughtItem, ToolInfoInThought } from '../type'
 import ToolDetail from '@/app/components/base/chat/chat/answer/tool-detail'
 
-export type IThoughtProps = {
+export interface IThoughtProps {
   thought: ThoughtItem
   isFinished: boolean
 }

web/app/components/base/chat/chat/type.ts

@@ -4,13 +4,13 @@ import type { FileEntity } from '@/app/components/base/file-uploader/types'
 import type { InputVarType } from '@/app/components/workflow/types'
 import type { FileResponse } from '@/types/workflow'
 
-export type MessageMore = {
+export interface MessageMore {
   time: string
   tokens: number
   latency: number | string
 }
 
-export type FeedbackType = {
+export interface FeedbackType {
   rating: MessageRating
   content?: string | null
 }
@@ -26,7 +26,7 @@ export type SubmitAnnotationFunc = (
 
 export type DisplayScene = 'web' | 'console'
 
-export type ToolInfoInThought = {
+export interface ToolInfoInThought {
   name: string
   label: string
   input: string
@@ -34,7 +34,7 @@ export type ToolInfoInThought = {
   isFinished: boolean
 }
 
-export type ThoughtItem = {
+export interface ThoughtItem {
   id: string
   tool: string // plugin or dataset. May has multi.
   thought: string
@@ -47,7 +47,7 @@ export type ThoughtItem = {
   message_files?: FileEntity[]
 }
 
-export type CitationItem = {
+export interface CitationItem {
   content: string
   data_source_type: string
   dataset_name: string
@@ -62,7 +62,7 @@ export type CitationItem = {
   word_count: number
 }
 
-export type IChatItem = {
+export interface IChatItem {
   id: string
   content: string
   citation?: CitationItem[]
@@ -104,7 +104,7 @@ export type IChatItem = {
   nextSibling?: string
 }
 
-export type Metadata = {
+export interface Metadata {
   retriever_resources?: CitationItem[]
   annotation_reply: {
     id: string
@@ -115,20 +115,20 @@ export type Metadata = {
   }
 }
 
-export type MessageEnd = {
+export interface MessageEnd {
   id: string
   metadata: Metadata
   files?: FileResponse[]
 }
 
-export type MessageReplace = {
+export interface MessageReplace {
   id: string
   task_id: string
   answer: string
   conversation_id: string
 }
 
-export type AnnotationReply = {
+export interface AnnotationReply {
   id: string
   task_id: string
   answer: string
@@ -137,7 +137,7 @@ export type AnnotationReply = {
   annotation_author_name: string
 }
 
-export type InputForm = {
+export interface InputForm {
   type: InputVarType
   label: string
   variable: any

web/app/components/base/chat/embedded-chatbot/config-panel/form-input.tsx

@@ -3,7 +3,7 @@ import { useTranslation } from 'react-i18next'
 import { memo } from 'react'
 import Textarea from '@/app/components/base/textarea'
 
-type InputProps = {
+interface InputProps {
   form: any
   value: string
   onChange: (variable: string, value: string) => void

web/app/components/base/chat/embedded-chatbot/context.tsx

@@ -15,7 +15,7 @@ import type {
   ConversationItem,
 } from '@/models/share'
 
-export type EmbeddedChatbotContextValue = {
+export interface EmbeddedChatbotContextValue {
   appInfoError?: any
   appInfoLoading?: boolean
   appMeta?: AppMeta

web/app/components/base/chat/types.ts

@@ -14,32 +14,32 @@ export type {
   PromptVariable,
 } from '@/models/debug'
 
-export type UserInputForm = {
+export interface UserInputForm {
   default: string
   label: string
   required: boolean
   variable: string
 }
 
-export type UserInputFormTextInput = {
+export interface UserInputFormTextInput {
   'text-input': UserInputForm & {
     max_length: number
   }
 }
 
-export type UserInputFormSelect = {
+export interface UserInputFormSelect {
   select: UserInputForm & {
     options: string[]
   }
 }
 
-export type UserInputFormParagraph = {
+export interface UserInputFormParagraph {
   paragraph: UserInputForm
 }
 
 export type VisionConfig = VisionSettings
 
-export type EnableType = {
+export interface EnableType {
   enabled: boolean
 }
 
@@ -50,7 +50,7 @@ export type ChatConfig = Omit<ModelConfig, 'model'> & {
   supportCitationHitInfo?: boolean
 }
 
-export type WorkflowProcess = {
+export interface WorkflowProcess {
   status: WorkflowRunningStatus
   tracing: NodeTracing[]
   expand?: boolean // for UI
@@ -73,10 +73,10 @@ export type OnSend = (message: string, files?: FileEntity[], last_answer?: ChatI
 
 export type OnRegenerate = (chatItem: ChatItem) => void
 
-export type Callback = {
+export interface Callback {
   onSuccess: () => void
 }
 
-export type Feedback = {
+export interface Feedback {
   rating: 'like' | 'dislike' | null
 }

web/app/components/base/features/store.ts

@@ -2,16 +2,16 @@ import { createStore } from 'zustand'
 import type { Features } from './types'
 import { Resolution, TransferMethod } from '@/types/app'
 
-export type FeaturesModal = {
+export interface FeaturesModal {
   showFeaturesModal: boolean
   setShowFeaturesModal: (showFeaturesModal: boolean) => void
 }
 
-export type FeaturesState = {
+export interface FeaturesState {
   features: Features
 }
 
-export type FeaturesAction = {
+export interface FeaturesAction {
   setFeatures: (features: Features) => void
 }
 

web/app/components/base/features/types.ts

@@ -1,7 +1,7 @@
 import type { Resolution, TransferMethod, TtsAutoPlay } from '@/types/app'
 import type { FileUploadConfigResponse } from '@/models/common'
 
-export type EnabledOrDisabled = {
+export interface EnabledOrDisabled {
   enabled?: boolean
 }
 
@@ -42,7 +42,7 @@ export type FileUpload = {
   fileUploadConfig?: FileUploadConfigResponse
 } & EnabledOrDisabled
 
-export type AnnotationReplyConfig = {
+export interface AnnotationReplyConfig {
   enabled: boolean
   id?: string
   score_threshold?: number
@@ -64,7 +64,7 @@ export enum FeatureEnum {
   annotationReply = 'annotationReply',
 }
 
-export type Features = {
+export interface Features {
   [FeatureEnum.moreLikeThis]?: MoreLikeThis
   [FeatureEnum.opening]?: OpeningStatement
   [FeatureEnum.suggested]?: SuggestedQuestionsAfterAnswer

web/app/components/base/icons/assets/public/llm/Anthropic-dark.svg

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+<path id="Vector_13" d="M57.8732 8.05653C56.2438 8.05653 55.2496 6.89631 55.2496 5.00404C55.2496 3.08416 56.2438 1.92394 57.8732 1.92394C59.4887 1.92394 60.4691 3.08416 60.4691 5.00404C60.4691 6.89631 59.4887 8.05653 57.8732 8.05653ZM57.8732 -0.00976562C55.0839 -0.00976562 53.1094 2.06206 53.1094 5.00404C53.1094 7.91841 55.0839 9.99023 57.8732 9.99023C60.6486 9.99023 62.6094 7.91841 62.6094 5.00404C62.6094 2.06206 60.6486 -0.00976562 57.8732 -0.00976562Z" fill="white" fill-opacity="0.8"/>
+</g>
+</g>
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+<g id="Clip path group_9">
+<mask id="mask8_5981_52010" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="0" y="-1" width="90" height="11">
+<g id="__lottie_element_44">
+<path id="Vector_14" d="M0 -0.0078125H89.375V9.99219H0V-0.0078125Z" fill="white"/>
+</g>
+</mask>
+<g mask="url(#mask8_5981_52010)">
+<g id="Group_19">
+<g id="Group_20">
+<g id="Group_21">
+<path id="Vector_15" d="M69.1794 4.45194H66.6233V2.02094H69.1794C70.2019 2.02094 70.7407 2.43532 70.7407 3.23644C70.7407 4.03756 70.2019 4.45194 69.1794 4.45194ZM69.2762 0.15625H64.5508V9.82501H66.6233V6.31662H69.2762C71.473 6.31662 72.8133 5.15637 72.8133 3.23644C72.8133 1.3165 71.473 0.15625 69.2762 0.15625Z" fill="white" fill-opacity="0.8"/>
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+</g>
+</g>
+</g>
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+<g id="Clip path group_10">
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+<g id="__lottie_element_35">
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+<g mask="url(#mask9_5981_52010)">
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+<g id="Group_23">
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+</mask>
+<g mask="url(#mask10_5981_52010)">
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+<path id="Vector_20" d="M0 -0.0078125H89.375V9.99219H0V-0.0078125Z" fill="white"/>
+</g>
+</mask>
+<g mask="url(#mask11_5981_52010)">
+<g id="Group_28">
+<g id="Group_29">
+<g id="Group_30">
+<path id="Vector_21" d="M3.64038 5.99893L4.95938 2.60106L6.27838 5.99893H3.64038ZM3.85422 0.15625L0 9.82501H2.15505L2.9433 7.79456H6.97558L7.76371 9.82501H9.91875L6.06453 0.15625H3.85422Z" fill="white" fill-opacity="0.8"/>
+</g>
+</g>
+</g>
+</g>
+</g>
+</g>
+</g>
+</g>
+</g>
+</g>
+</g>
+</g>
+</g>
+</g>
+</g>
+<defs>
+<clipPath id="clip0_5981_52010">
+<rect width="89.375" height="10" fill="white"/>
+</clipPath>
+</defs>
+</svg>

web/app/components/base/icons/src/public/llm/AnthropicDark.tsx

@@ -0,0 +1,16 @@
+// GENERATE BY script
+// DON NOT EDIT IT MANUALLY
+
+import * as React from 'react'
+import data from './AnthropicDark.json'
+import IconBase from '@/app/components/base/icons/IconBase'
+import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
+
+const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
+  props,
+  ref,
+) => <IconBase {...props} ref={ref} data={data as IconData} />)
+
+Icon.displayName = 'AnthropicDark'
+
+export default Icon

web/app/components/base/icons/src/public/llm/AnthropicLight.tsx

@@ -0,0 +1,16 @@
+// GENERATE BY script
+// DON NOT EDIT IT MANUALLY
+
+import * as React from 'react'
+import data from './AnthropicLight.json'
+import IconBase from '@/app/components/base/icons/IconBase'
+import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
+
+const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
+  props,
+  ref,
+) => <IconBase {...props} ref={ref} data={data as IconData} />)
+
+Icon.displayName = 'AnthropicLight'
+
+export default Icon

web/app/components/base/icons/src/public/llm/index.ts

@@ -1,3 +1,5 @@
+export { default as AnthropicDark } from './AnthropicDark'
+export { default as AnthropicLight } from './AnthropicLight'
 export { default as AnthropicText } from './AnthropicText'
 export { default as Anthropic } from './Anthropic'
 export { default as AzureOpenaiServiceText } from './AzureOpenaiServiceText'

web/app/components/base/image-uploader/image-preview.tsx

@@ -7,7 +7,7 @@ import { useHotkeys } from 'react-hotkeys-hook'
 import Tooltip from '@/app/components/base/tooltip'
 import Toast from '@/app/components/base/toast'
 
-type ImagePreviewProps = {
+interface ImagePreviewProps {
   url: string
   title: string
   onCancel: () => void

web/app/components/base/markdown.tsx

@@ -9,7 +9,7 @@ import RemarkGfm from 'remark-gfm'
 import RehypeRaw from 'rehype-raw'
 import SyntaxHighlighter from 'react-syntax-highlighter'
 import { atelierHeathLight } from 'react-syntax-highlighter/dist/esm/styles/hljs'
-import { Component, createContext, memo, useContext, useMemo, useRef, useState } from 'react'
+import { Component, createContext, memo, useContext, useEffect, useMemo, useRef, useState } from 'react'
 import cn from '@/utils/classnames'
 import CopyBtn from '@/app/components/base/copy-btn'
 import SVGBtn from '@/app/components/base/svg'

web/app/components/base/message-log-modal/index.tsx

@@ -7,7 +7,7 @@ import cn from '@/utils/classnames'
 import type { IChatItem } from '@/app/components/base/chat/chat/type'
 import Run from '@/app/components/workflow/run'
 
-type MessageLogModalProps = {
+interface MessageLogModalProps {
   currentLogItem?: IChatItem
   defaultTab?: string
   width: number

web/app/components/base/prompt-editor/index.tsx

@@ -61,7 +61,7 @@ import {
 import { useEventEmitterContextContext } from '@/context/event-emitter'
 import cn from '@/utils/classnames'
 
-export type PromptEditorProps = {
+export interface PromptEditorProps {
   instanceId?: string
   compact?: boolean
   className?: string

web/app/components/base/prompt-editor/plugins/component-picker-block/index.tsx

@@ -32,7 +32,7 @@ import type { PickerBlockMenuOption } from './menu'
 import VarReferenceVars from '@/app/components/workflow/nodes/_base/components/variable/var-reference-vars'
 import { useEventEmitterContextContext } from '@/context/event-emitter'
 
-type ComponentPickerProps = {
+interface ComponentPickerProps {
   triggerString: string
   contextBlock?: ContextBlockType
   queryBlock?: QueryBlockType

web/app/components/base/sort/index.tsx

@@ -14,7 +14,7 @@ export type Item = {
   name: string
 } & Record<string, any>
 
-type Props = {
+interface Props {
   order?: string
   value: number | string
   items: Item[]

web/app/components/base/tab-slider-plain/index.tsx

@@ -3,12 +3,12 @@ import type { FC } from 'react'
 import React from 'react'
 import cn from '@/utils/classnames'
 
-type Option = {
+interface Option {
   value: string
   text: string | JSX.Element
 }
 
-type ItemProps = {
+interface ItemProps {
   className?: string
   isActive: boolean
   onClick: (v: string) => void
@@ -38,7 +38,7 @@ const Item: FC<ItemProps> = ({
   )
 }
 
-type Props = {
+interface Props {
   className?: string
   value: string
   onChange: (v: string) => void

web/app/components/base/tag-input/index.tsx

@@ -7,7 +7,7 @@ import { RiAddLine, RiCloseLine } from '@remixicon/react'
 import cn from '@/utils/classnames'
 import { useToastContext } from '@/app/components/base/toast'
 
-type TagInputProps = {
+interface TagInputProps {
   items: string[]
   onChange: (items: string[]) => void
   disableRemove?: boolean

web/app/components/base/tag-management/filter.tsx

@@ -18,7 +18,7 @@ import type { Tag } from '@/app/components/base/tag-management/constant'
 
 import { fetchTagList } from '@/service/tag'
 
-type TagFilterProps = {
+interface TagFilterProps {
   type: 'knowledge' | 'app'
   value: string[]
   onChange: (v: string[]) => void

web/app/components/base/tag-management/selector.tsx

@@ -16,7 +16,7 @@ import Checkbox from '@/app/components/base/checkbox'
 import { bindTag, createTag, fetchTagList, unBindTag } from '@/service/tag'
 import { ToastContext } from '@/app/components/base/toast'
 
-type TagSelectorProps = {
+interface TagSelectorProps {
   targetID: string
   isPopover?: boolean
   position?: 'bl' | 'br'

web/app/components/base/text-generation/types.ts

@@ -7,32 +7,32 @@ import type { ExternalDataTool } from '@/models/common'
 export type { VisionFile } from '@/types/app'
 export { TransferMethod } from '@/types/app'
 
-export type UserInputForm = {
+export interface UserInputForm {
   default: string
   label: string
   required: boolean
   variable: string
 }
 
-export type UserInputFormTextInput = {
+export interface UserInputFormTextInput {
   'text-input': UserInputForm & {
     max_length: number
   }
 }
 
-export type UserInputFormSelect = {
+export interface UserInputFormSelect {
   select: UserInputForm & {
     options: string[]
   }
 }
 
-export type UserInputFormParagraph = {
+export interface UserInputFormParagraph {
   paragraph: UserInputForm
 }
 
 export type VisionConfig = VisionSettings
 
-export type EnableType = {
+export interface EnableType {
   enabled: boolean
 }
 

web/app/components/base/toast/index.tsx

@@ -51,11 +51,11 @@ const Toast = ({
     'top-0',
     'right-0',
   )}>
-    <div className={`absolute inset-0 opacity-40 -z-10 ${(type === 'success' && 'bg-toast-success-bg')
+    <div className={`absolute inset-0 opacity-40 ${(type === 'success' && 'bg-toast-success-bg')
       || (type === 'warning' && 'bg-toast-warning-bg')
       || (type === 'error' && 'bg-toast-error-bg')
       || (type === 'info' && 'bg-toast-info-bg')
-    }`}
+      }`}
     />
     <div className={`flex ${size === 'md' ? 'gap-1' : 'gap-0.5'}`}>
       <div className={`flex justify-center items-center ${size === 'md' ? 'p-0.5' : 'p-1'}`}>
@@ -80,7 +80,7 @@ const Toast = ({
         </ActionButton>)
       }
     </div>
-  </div>
+  </div >
 }
 
 export const ToastProvider = ({

web/app/components/datasets/create/empty-dataset-creation-modal/index.tsx

@@ -12,7 +12,7 @@ import Button from '@/app/components/base/button'
 import { ToastContext } from '@/app/components/base/toast'
 import { createEmptyDataset } from '@/service/datasets'
 
-type IProps = {
+interface IProps {
   show: boolean
   onHide: () => void
 }

web/app/components/datasets/create/step-two/language-select/index.tsx

@@ -6,7 +6,7 @@ import cn from '@/utils/classnames'
 import Popover from '@/app/components/base/popover'
 import { languages } from '@/i18n/language'
 
-export type ILanguageSelectProps = {
+export interface ILanguageSelectProps {
   currentLanguage: string
   onSelect: (language: string) => void
   disabled?: boolean

web/app/components/datasets/create/website/jina-reader/base/checkbox-with-label.tsx

@@ -5,7 +5,7 @@ import cn from '@/utils/classnames'
 import Checkbox from '@/app/components/base/checkbox'
 import Tooltip from '@/app/components/base/tooltip'
 
-type Props = {
+interface Props {
   className?: string
   isChecked: boolean
   onChange: (isChecked: boolean) => void

web/app/components/datasets/create/website/jina-reader/base/error-message.tsx

@@ -4,7 +4,7 @@ import React from 'react'
 import cn from '@/utils/classnames'
 import { AlertTriangle } from '@/app/components/base/icons/src/vender/solid/alertsAndFeedback'
 
-type Props = {
+interface Props {
   className?: string
   title: string
   errorMsg?: string

web/app/components/datasets/create/website/jina-reader/base/field.tsx

@@ -5,7 +5,7 @@ import Input from './input'
 import cn from '@/utils/classnames'
 import Tooltip from '@/app/components/base/tooltip'
 
-type Props = {
+interface Props {
   className?: string
   label: string
   labelClassName?: string