remove the agent notes

api/controllers/console/app/workflow.py

@@ -470,7 +470,7 @@ class AdvancedChatDraftRunLoopNodeApi(Resource):
         Run draft workflow loop node
         """
         current_user, _ = current_account_with_tenant()
-        args = LoopNodeRunPayload.model_validate(console_ns.payload or {})
+        args = LoopNodeRunPayload.model_validate(console_ns.payload or {}).model_dump(exclude_none=True)
 
         try:
             response = AppGenerateService.generate_single_loop(
@@ -508,7 +508,7 @@ class WorkflowDraftRunLoopNodeApi(Resource):
         Run draft workflow loop node
         """
         current_user, _ = current_account_with_tenant()
-        args = LoopNodeRunPayload.model_validate(console_ns.payload or {})
+        args = LoopNodeRunPayload.model_validate(console_ns.payload or {}).model_dump(exclude_none=True)
 
         try:
             response = AppGenerateService.generate_single_loop(
@@ -999,7 +999,6 @@ class DraftWorkflowTriggerRunApi(Resource):
             if not event:
                 return jsonable_encoder({"status": "waiting", "retry_in": LISTENING_RETRY_IN})
             workflow_args = dict(event.workflow_args)
-
             workflow_args[SKIP_PREPARE_USER_INPUTS_KEY] = True
             return helper.compact_generate_response(
                 AppGenerateService.generate(
@@ -1148,7 +1147,6 @@ class DraftWorkflowTriggerRunAllApi(Resource):
 
         try:
             workflow_args = dict(trigger_debug_event.workflow_args)
-
             workflow_args[SKIP_PREPARE_USER_INPUTS_KEY] = True
             response = AppGenerateService.generate(
                 app_model=app_model,

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

@@ -1,11 +1,9 @@
-from __future__ import annotations
-
 import contextvars
 import logging
 import threading
 import uuid
 from collections.abc import Generator, Mapping
-from typing import TYPE_CHECKING, Any, Literal, Union, overload
+from typing import Any, Literal, Union, overload
 
 from flask import Flask, current_app
 from pydantic import ValidationError
@@ -15,9 +13,6 @@ from sqlalchemy.orm import Session, sessionmaker
 import contexts
 from configs import dify_config
 from constants import UUID_NIL
-
-if TYPE_CHECKING:
-    from controllers.console.app.workflow import LoopNodeRunPayload
 from core.app.app_config.features.file_upload.manager import FileUploadConfigManager
 from core.app.apps.advanced_chat.app_config_manager import AdvancedChatAppConfigManager
 from core.app.apps.advanced_chat.app_runner import AdvancedChatAppRunner
@@ -309,7 +304,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
         workflow: Workflow,
         node_id: str,
         user: Account | EndUser,
-        args: LoopNodeRunPayload,
+        args: Mapping,
         streaming: bool = True,
     ) -> Mapping[str, Any] | Generator[str | Mapping[str, Any], Any, None]:
         """
@@ -325,7 +320,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
         if not node_id:
             raise ValueError("node_id is required")
 
-        if args.inputs is None:
+        if args.get("inputs") is None:
             raise ValueError("inputs is required")
 
         # convert to app config
@@ -343,7 +338,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
             stream=streaming,
             invoke_from=InvokeFrom.DEBUGGER,
             extras={"auto_generate_conversation_name": False},
-            single_loop_run=AdvancedChatAppGenerateEntity.SingleLoopRunEntity(node_id=node_id, inputs=args.inputs),
+            single_loop_run=AdvancedChatAppGenerateEntity.SingleLoopRunEntity(node_id=node_id, inputs=args["inputs"]),
         )
         contexts.plugin_tool_providers.set({})
         contexts.plugin_tool_providers_lock.set(threading.Lock())

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

@@ -1,11 +1,9 @@
-from __future__ import annotations
-
 import contextvars
 import logging
 import threading
 import uuid
 from collections.abc import Generator, Mapping, Sequence
-from typing import TYPE_CHECKING, Any, Literal, Union, overload
+from typing import Any, Literal, Union, overload
 
 from flask import Flask, current_app
 from pydantic import ValidationError
@@ -42,9 +40,6 @@ from models import Account, App, EndUser, Workflow, WorkflowNodeExecutionTrigger
 from models.enums import WorkflowRunTriggeredFrom
 from services.workflow_draft_variable_service import DraftVarLoader, WorkflowDraftVariableService
 
-if TYPE_CHECKING:
-    from controllers.console.app.workflow import LoopNodeRunPayload
-
 SKIP_PREPARE_USER_INPUTS_KEY = "_skip_prepare_user_inputs"
 
 logger = logging.getLogger(__name__)
@@ -386,7 +381,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
         workflow: Workflow,
         node_id: str,
         user: Account | EndUser,
-        args: LoopNodeRunPayload,
+        args: Mapping[str, Any],
         streaming: bool = True,
     ) -> Mapping[str, Any] | Generator[str | Mapping[str, Any], None, None]:
         """
@@ -402,7 +397,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
         if not node_id:
             raise ValueError("node_id is required")
 
-        if args.inputs is None:
+        if args.get("inputs") is None:
             raise ValueError("inputs is required")
 
         # convert to app config
@@ -418,7 +413,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
             stream=streaming,
             invoke_from=InvokeFrom.DEBUGGER,
             extras={"auto_generate_conversation_name": False},
-            single_loop_run=WorkflowAppGenerateEntity.SingleLoopRunEntity(node_id=node_id, inputs=args.inputs or {}),
+            single_loop_run=WorkflowAppGenerateEntity.SingleLoopRunEntity(node_id=node_id, inputs=args["inputs"]),
             workflow_execution_id=str(uuid.uuid4()),
         )
         contexts.plugin_tool_providers.set({})

api/core/model_runtime/entities/message_entities.py

@@ -5,7 +5,7 @@ from collections.abc import Mapping, Sequence
 from enum import StrEnum, auto
 from typing import Annotated, Any, Literal, Union
 
-from pydantic import BaseModel, Field, field_serializer, field_validator
+from pydantic import BaseModel, Field, JsonValue, field_serializer, field_validator
 
 
 class PromptMessageRole(StrEnum):
@@ -69,6 +69,7 @@ class PromptMessageContent(ABC, BaseModel):
     """
 
     type: PromptMessageContentType
+    opaque_body: JsonValue | None = None
 
 
 class TextPromptMessageContent(PromptMessageContent):
@@ -244,6 +245,7 @@ class AssistantPromptMessage(PromptMessage):
 
     role: PromptMessageRole = PromptMessageRole.ASSISTANT
     tool_calls: list[ToolCall] = []
+    opaque_body: JsonValue | None = None
 
     def is_empty(self) -> bool:
         """

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

@@ -164,6 +164,7 @@ class LargeLanguageModel(AIModel):
                 usage = LLMUsage.empty_usage()
                 system_fingerprint = None
                 tools_calls: list[AssistantPromptMessage.ToolCall] = []
+                assistant_opaque_body = None
 
                 for chunk in result:
                     if isinstance(chunk.delta.message.content, str):
@@ -172,6 +173,8 @@ class LargeLanguageModel(AIModel):
                         content_list.extend(chunk.delta.message.content)
                     if chunk.delta.message.tool_calls:
                         _increase_tool_call(chunk.delta.message.tool_calls, tools_calls)
+                    if assistant_opaque_body is None and chunk.delta.message.opaque_body is not None:
+                        assistant_opaque_body = chunk.delta.message.opaque_body
 
                     usage = chunk.delta.usage or LLMUsage.empty_usage()
                     system_fingerprint = chunk.system_fingerprint
@@ -183,6 +186,7 @@ class LargeLanguageModel(AIModel):
                     message=AssistantPromptMessage(
                         content=content or content_list,
                         tool_calls=tools_calls,
+                        opaque_body=assistant_opaque_body,
                     ),
                     usage=usage,
                     system_fingerprint=system_fingerprint,
@@ -261,6 +265,8 @@ class LargeLanguageModel(AIModel):
         usage = None
         system_fingerprint = None
         real_model = model
+        assistant_opaque_body = None
+        tools_calls: list[AssistantPromptMessage.ToolCall] = []
 
         def _update_message_content(content: str | list[PromptMessageContentUnionTypes] | None):
             if not content:
@@ -294,6 +300,10 @@ class LargeLanguageModel(AIModel):
                 )
 
                 _update_message_content(chunk.delta.message.content)
+                if chunk.delta.message.tool_calls:
+                    _increase_tool_call(chunk.delta.message.tool_calls, tools_calls)
+                if assistant_opaque_body is None and chunk.delta.message.opaque_body is not None:
+                    assistant_opaque_body = chunk.delta.message.opaque_body
 
                 real_model = chunk.model
                 if chunk.delta.usage:
@@ -304,7 +314,11 @@ class LargeLanguageModel(AIModel):
         except Exception as e:
             raise self._transform_invoke_error(e)
 
-        assistant_message = AssistantPromptMessage(content=message_content)
+        assistant_message = AssistantPromptMessage(
+            content=message_content,
+            tool_calls=tools_calls,
+            opaque_body=assistant_opaque_body,
+        )
         self._trigger_after_invoke_callbacks(
             model=model,
             result=LLMResult(

api/enums/hosted_provider.py

@@ -1,21 +0,0 @@
-from enum import StrEnum
-
-
-class HostedTrialProvider(StrEnum):
-    """
-    Enum representing hosted model provider names for trial access.
-    """
-
-    OPENAI = "langgenius/openai/openai"
-    ANTHROPIC = "langgenius/anthropic/anthropic"
-    GEMINI = "langgenius/gemini/google"
-    X = "langgenius/x/x"
-    DEEPSEEK = "langgenius/deepseek/deepseek"
-    TONGYI = "langgenius/tongyi/tongyi"
-
-    @property
-    def config_key(self) -> str:
-        """Return the config key used in dify_config (e.g., HOSTED_{config_key}_PAID_ENABLED)."""
-        if self == HostedTrialProvider.X:
-            return "XAI"
-        return self.name

api/services/app_generate_service.py

@@ -1,8 +1,6 @@
-from __future__ import annotations
-
 import uuid
 from collections.abc import Generator, Mapping
-from typing import TYPE_CHECKING, Any, Union
+from typing import Any, Union
 
 from configs import dify_config
 from core.app.apps.advanced_chat.app_generator import AdvancedChatAppGenerator
@@ -20,9 +18,6 @@ from services.errors.app import QuotaExceededError, WorkflowIdFormatError, Workf
 from services.errors.llm import InvokeRateLimitError
 from services.workflow_service import WorkflowService
 
-if TYPE_CHECKING:
-    from controllers.console.app.workflow import LoopNodeRunPayload
-
 
 class AppGenerateService:
     @classmethod
@@ -170,9 +165,7 @@ class AppGenerateService:
             raise ValueError(f"Invalid app mode {app_model.mode}")
 
     @classmethod
-    def generate_single_loop(
-        cls, app_model: App, user: Account, node_id: str, args: LoopNodeRunPayload, streaming: bool = True
-    ):
+    def generate_single_loop(cls, app_model: App, user: Account, node_id: str, args: Any, streaming: bool = True):
         if app_model.mode == AppMode.ADVANCED_CHAT:
             workflow = cls._get_workflow(app_model, InvokeFrom.DEBUGGER)
             return AdvancedChatAppGenerator.convert_to_event_stream(

api/services/billing_service.py

@@ -143,7 +143,6 @@ class BillingService:
                 raise ValueError("Invalid arguments.")
         if method == "POST" and response.status_code != httpx.codes.OK:
             raise ValueError(f"Unable to send request to {url}. Please try again later or contact support.")
-        logger.info("billing_service: %s _send_request: response: %s", method, response.json())
         return response.json()
 
     @staticmethod
@@ -166,7 +165,6 @@ class BillingService:
     def delete_account(cls, account_id: str):
         """Delete account."""
         params = {"account_id": account_id}
-        logger.info("billing_service: delete_account: params: %s", params)
         return cls._send_request("DELETE", "/account/", params=params)
 
     @classmethod

api/services/feature_service.py

@@ -4,7 +4,6 @@ from pydantic import BaseModel, ConfigDict, Field
 
 from configs import dify_config
 from enums.cloud_plan import CloudPlan
-from enums.hosted_provider import HostedTrialProvider
 from services.billing_service import BillingService
 from services.enterprise.enterprise_service import EnterpriseService
 
@@ -171,7 +170,6 @@ class SystemFeatureModel(BaseModel):
     plugin_installation_permission: PluginInstallationPermissionModel = PluginInstallationPermissionModel()
     enable_change_email: bool = True
     plugin_manager: PluginManagerModel = PluginManagerModel()
-    trial_models: list[str] = []
     enable_trial_app: bool = False
     enable_explore_banner: bool = False
 
@@ -229,21 +227,9 @@ class FeatureService:
         system_features.is_allow_register = dify_config.ALLOW_REGISTER
         system_features.is_allow_create_workspace = dify_config.ALLOW_CREATE_WORKSPACE
         system_features.is_email_setup = dify_config.MAIL_TYPE is not None and dify_config.MAIL_TYPE != ""
-        system_features.trial_models = cls._fulfill_trial_models_from_env()
         system_features.enable_trial_app = dify_config.ENABLE_TRIAL_APP
         system_features.enable_explore_banner = dify_config.ENABLE_EXPLORE_BANNER
 
-    @classmethod
-    def _fulfill_trial_models_from_env(cls) -> list[str]:
-        return [
-            provider.value
-            for provider in HostedTrialProvider
-            if (
-                getattr(dify_config, f"HOSTED_{provider.config_key}_PAID_ENABLED", False)
-                and getattr(dify_config, f"HOSTED_{provider.config_key}_TRIAL_ENABLED", False)
-            )
-        ]
-
     @classmethod
     def _fulfill_params_from_env(cls, features: FeatureModel):
         features.can_replace_logo = dify_config.CAN_REPLACE_LOGO

api/tasks/delete_account_task.py

@@ -14,13 +14,10 @@ logger = logging.getLogger(__name__)
 @shared_task(queue="dataset")
 def delete_account_task(account_id):
     with session_factory.create_session() as session:
-        logger.info("delete_account_task: account_id: %s", account_id)
         account = session.query(Account).where(Account.id == account_id).first()
         try:
             if dify_config.BILLING_ENABLED:
-                logger.info("delete_account_task: before delete_account: %s", account_id)
                 BillingService.delete_account(account_id)
-                logger.info("delete_account_task: after delete_account: %s", account_id)
         except Exception:
             logger.exception("Failed to delete account %s from billing service.", account_id)
             raise
@@ -30,4 +27,3 @@ def delete_account_task(account_id):
             return
         # send success email
         send_deletion_success_task.delay(account.email)
-        logger.info("delete_account_task: delete_account successfully: %s", account_id)

api/tests/unit_tests/core/model_runtime/__base/test_llm_invoke_opaque_body.py

@@ -0,0 +1,145 @@
+from __future__ import annotations
+
+from datetime import datetime
+from typing import Any
+from unittest.mock import patch
+
+from core.model_runtime.callbacks.base_callback import Callback
+from core.model_runtime.entities.common_entities import I18nObject
+from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
+from core.model_runtime.entities.message_entities import AssistantPromptMessage, PromptMessage, UserPromptMessage
+from core.model_runtime.entities.model_entities import ModelType
+from core.model_runtime.entities.provider_entities import ConfigurateMethod, ProviderEntity
+from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
+from core.plugin.entities.plugin_daemon import PluginModelProviderEntity
+
+
+class _CaptureAfterInvokeCallback(Callback):
+    after_result: LLMResult | None
+
+    def __init__(self) -> None:
+        self.after_result = None
+
+    def on_before_invoke(self, **kwargs: Any) -> None:  # noqa: ANN401
+        return None
+
+    def on_new_chunk(self, **kwargs: Any) -> None:  # noqa: ANN401
+        return None
+
+    def on_after_invoke(self, result: LLMResult, **kwargs: Any) -> None:  # noqa: ANN401
+        self.after_result = result
+
+    def on_invoke_error(self, **kwargs: Any) -> None:  # noqa: ANN401
+        return None
+
+
+def _build_llm_instance() -> LargeLanguageModel:
+    declaration = ProviderEntity(
+        provider="test",
+        label=I18nObject(en_US="test"),
+        supported_model_types=[ModelType.LLM],
+        configurate_methods=[ConfigurateMethod.PREDEFINED_MODEL],
+    )
+    plugin_model_provider = PluginModelProviderEntity(
+        id="pmp_1",
+        created_at=datetime.now(),
+        updated_at=datetime.now(),
+        provider="test",
+        tenant_id="tenant_1",
+        plugin_unique_identifier="test/plugin",
+        plugin_id="test/plugin",
+        declaration=declaration,
+    )
+
+    return LargeLanguageModel(
+        tenant_id="tenant_1",
+        plugin_id="test/plugin",
+        provider_name="test",
+        plugin_model_provider=plugin_model_provider,
+    )
+
+
+def test_invoke_non_stream_preserves_assistant_opaque_body() -> None:
+    llm = _build_llm_instance()
+    prompt_messages: list[PromptMessage] = [UserPromptMessage(content="hi")]
+
+    chunk = LLMResultChunk(
+        model="gpt-test",
+        prompt_messages=[],
+        delta=LLMResultChunkDelta(
+            index=0,
+            message=AssistantPromptMessage(content="hello", opaque_body={"provider_message_id": "msg_123"}),
+        ),
+    )
+
+    def _mock_invoke_llm(self, **kwargs: Any):  # noqa: ANN001, ANN401
+        yield chunk
+
+    with patch("core.plugin.impl.model.PluginModelClient.invoke_llm", new=_mock_invoke_llm):
+        result = llm.invoke(
+            model="gpt-test",
+            credentials={},
+            prompt_messages=prompt_messages,
+            model_parameters={},
+            stream=False,
+        )
+
+    assert isinstance(result, LLMResult)
+    assert result.message.opaque_body == {"provider_message_id": "msg_123"}
+    assert list(result.prompt_messages) == prompt_messages
+
+
+def test_invoke_stream_preserves_assistant_opaque_body_in_after_callback() -> None:
+    llm = _build_llm_instance()
+    prompt_messages: list[PromptMessage] = [UserPromptMessage(content="hi")]
+    callback = _CaptureAfterInvokeCallback()
+
+    tool_call_1 = AssistantPromptMessage.ToolCall(
+        id="1",
+        type="function",
+        function=AssistantPromptMessage.ToolCall.ToolCallFunction(name="func_foo", arguments='{"arg1": '),
+    )
+    tool_call_2 = AssistantPromptMessage.ToolCall(
+        id="",
+        type="",
+        function=AssistantPromptMessage.ToolCall.ToolCallFunction(name="", arguments='"value"}'),
+    )
+
+    chunk1 = LLMResultChunk(
+        model="gpt-test",
+        prompt_messages=[],
+        delta=LLMResultChunkDelta(
+            index=0,
+            message=AssistantPromptMessage(content="h", tool_calls=[tool_call_1], opaque_body={"provider_message_id": "msg_123"}),
+        ),
+    )
+    chunk2 = LLMResultChunk(
+        model="gpt-test",
+        prompt_messages=[],
+        delta=LLMResultChunkDelta(
+            index=0,
+            message=AssistantPromptMessage(content="i", tool_calls=[tool_call_2]),
+        ),
+    )
+
+    def _mock_invoke_llm(self, **kwargs: Any):  # noqa: ANN001, ANN401
+        yield chunk1
+        yield chunk2
+
+    with patch("core.plugin.impl.model.PluginModelClient.invoke_llm", new=_mock_invoke_llm):
+        gen = llm.invoke(
+            model="gpt-test",
+            credentials={},
+            prompt_messages=prompt_messages,
+            model_parameters={},
+            stream=True,
+            callbacks=[callback],
+        )
+        chunks = list(gen)
+
+    assert chunks[0].prompt_messages == prompt_messages
+    assert callback.after_result is not None
+    assert callback.after_result.message.opaque_body == {"provider_message_id": "msg_123"}
+    assert len(callback.after_result.message.tool_calls) == 1
+    assert callback.after_result.message.tool_calls[0].function.arguments == '{"arg1": "value"}'
+

web/package.json

@@ -67,7 +67,7 @@
     "@lexical/react": "0.38.2",
     "@lexical/selection": "0.38.2",
     "@lexical/text": "0.38.2",
-    "@lexical/utils": "0.39.0",
+    "@lexical/utils": "0.38.2",
     "@monaco-editor/react": "4.7.0",
     "@octokit/core": "6.1.6",
     "@octokit/request-error": "6.1.8",

web/pnpm-lock.yaml

@@ -94,8 +94,8 @@ importers:
         specifier: 0.38.2
         version: 0.38.2
       '@lexical/utils':
-        specifier: 0.39.0
-        version: 0.39.0
+        specifier: 0.38.2
+        version: 0.38.2
       '@monaco-editor/react':
         specifier: 4.7.0
         version: 4.7.0(monaco-editor@0.55.1)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
@@ -2066,9 +2066,6 @@ packages:
   '@lexical/clipboard@0.38.2':
     resolution: {integrity: sha512-dDShUplCu8/o6BB9ousr3uFZ9bltR+HtleF/Tl8FXFNPpZ4AXhbLKUoJuucRuIr+zqT7RxEv/3M6pk/HEoE6NQ==}
 
-  '@lexical/clipboard@0.39.0':
-    resolution: {integrity: sha512-ylrHy8M+I5EH4utwqivslugqQhvgLTz9VEJdrb2RjbhKQEXwMcqKCRWh6cRfkYx64onE2YQE0nRIdzHhExEpLQ==}
-
   '@lexical/code@0.38.2':
     resolution: {integrity: sha512-wpqgbmPsfi/+8SYP0zI2kml09fGPRhzO5litR9DIbbSGvcbawMbRNcKLO81DaTbsJRnBJiQvbBBBJAwZKRqgBw==}
 
@@ -2084,9 +2081,6 @@ packages:
   '@lexical/extension@0.38.2':
     resolution: {integrity: sha512-qbUNxEVjAC0kxp7hEMTzktj0/51SyJoIJWK6Gm790b4yNBq82fEPkksfuLkRg9VQUteD0RT1Nkjy8pho8nNamw==}
 
-  '@lexical/extension@0.39.0':
-    resolution: {integrity: sha512-mp/WcF8E53FWPiUHgHQz382J7u7C4+cELYNkC00dKaymf8NhS6M65Y8tyDikNGNUcLXSzaluwK0HkiKjTYGhVQ==}
-
   '@lexical/hashtag@0.38.2':
     resolution: {integrity: sha512-jNI4Pv+plth39bjOeeQegMypkjDmoMWBMZtV0lCynBpkkPFlfMnyL9uzW/IxkZnX8LXWSw5mbWk07nqOUNTCrA==}
 
@@ -2096,18 +2090,12 @@ packages:
   '@lexical/html@0.38.2':
     resolution: {integrity: sha512-pC5AV+07bmHistRwgG3NJzBMlIzSdxYO6rJU4eBNzyR4becdiLsI4iuv+aY7PhfSv+SCs7QJ9oc4i5caq48Pkg==}
 
-  '@lexical/html@0.39.0':
-    resolution: {integrity: sha512-7VLWP5DpzBg3kKctpNK6PbhymKAtU6NAnKieopCfCIWlMW+EqpldteiIXGqSqrMRK0JWTmF1gKgr9nnQyOOsXw==}
-
   '@lexical/link@0.38.2':
     resolution: {integrity: sha512-UOKTyYqrdCR9+7GmH6ZVqJTmqYefKGMUHMGljyGks+OjOGZAQs78S1QgcPEqltDy+SSdPSYK7wAo6gjxZfEq9g==}
 
   '@lexical/list@0.38.2':
     resolution: {integrity: sha512-OQm9TzatlMrDZGxMxbozZEHzMJhKxAbH1TOnOGyFfzpfjbnFK2y8oLeVsfQZfZRmiqQS4Qc/rpFnRP2Ax5dsbA==}
 
-  '@lexical/list@0.39.0':
-    resolution: {integrity: sha512-mxgSxUrakTCHtC+gF30BChQBJTsCMiMgfC2H5VvhcFwXMgsKE/aK9+a+C/sSvvzCmPXqzYsuAcGkJcrY3e5xlw==}
-
   '@lexical/mark@0.38.2':
     resolution: {integrity: sha512-U+8KGwc3cP5DxSs15HfkP2YZJDs5wMbWQAwpGqep9bKphgxUgjPViKhdi+PxIt2QEzk7WcoZWUsK1d2ty/vSmg==}
 
@@ -2135,24 +2123,15 @@ packages:
   '@lexical/selection@0.38.2':
     resolution: {integrity: sha512-eMFiWlBH6bEX9U9sMJ6PXPxVXTrihQfFeiIlWLuTpEIDF2HRz7Uo1KFRC/yN6q0DQaj7d9NZYA6Mei5DoQuz5w==}
 
-  '@lexical/selection@0.39.0':
-    resolution: {integrity: sha512-j0cgNuTKDCdf/4MzRnAUwEqG6C/WQp18k2WKmX5KIVZJlhnGIJmlgSBrxjo8AuZ16DIHxTm2XNB4cUDCgZNuPA==}
-
   '@lexical/table@0.38.2':
     resolution: {integrity: sha512-uu0i7yz0nbClmHOO5ZFsinRJE6vQnFz2YPblYHAlNigiBedhqMwSv5bedrzDq8nTTHwych3mC63tcyKIrM+I1g==}
 
-  '@lexical/table@0.39.0':
-    resolution: {integrity: sha512-1eH11kV4bJ0fufCYl8DpE19kHwqUI8Ev5CZwivfAtC3ntwyNkeEpjCc0pqeYYIWN/4rTZ5jgB3IJV4FntyfCzw==}
-
   '@lexical/text@0.38.2':
     resolution: {integrity: sha512-+juZxUugtC4T37aE3P0l4I9tsWbogDUnTI/mgYk4Ht9g+gLJnhQkzSA8chIyfTxbj5i0A8yWrUUSw+/xA7lKUQ==}
 
   '@lexical/utils@0.38.2':
     resolution: {integrity: sha512-y+3rw15r4oAWIEXicUdNjfk8018dbKl7dWHqGHVEtqzAYefnEYdfD2FJ5KOTXfeoYfxi8yOW7FvzS4NZDi8Bfw==}
 
-  '@lexical/utils@0.39.0':
-    resolution: {integrity: sha512-8YChidpMJpwQc4nex29FKUeuZzC++QCS/Jt46lPuy1GS/BZQoPHFKQ5hyVvM9QVhc5CEs4WGNoaCZvZIVN8bQw==}
-
   '@lexical/yjs@0.38.2':
     resolution: {integrity: sha512-fg6ZHNrVQmy1AAxaTs8HrFbeNTJCaCoEDPi6pqypHQU3QVfqr4nq0L0EcHU/TRlR1CeduEPvZZIjUUxWTZ0u8g==}
     peerDependencies:
@@ -2640,9 +2619,6 @@ packages:
   '@preact/signals-core@1.12.1':
     resolution: {integrity: sha512-BwbTXpj+9QutoZLQvbttRg5x3l5468qaV2kufh+51yha1c53ep5dY4kTuZR35+3pAZxpfQerGJiQqg34ZNZ6uA==}
 
-  '@preact/signals-core@1.12.2':
-    resolution: {integrity: sha512-5Yf8h1Ke3SMHr15xl630KtwPTW4sYDFkkxS0vQ8UiQLWwZQnrF9IKaVG1mN5VcJz52EcWs2acsc/Npjha/7ysA==}
-
   '@preact/signals@1.3.2':
     resolution: {integrity: sha512-naxcJgUJ6BTOROJ7C3QML7KvwKwCXQJYTc5L/b0eEsdYgPB6SxwoQ1vDGcS0Q7GVjAenVq/tXrybVdFShHYZWg==}
     peerDependencies:
@@ -6247,9 +6223,6 @@ packages:
   lexical@0.38.2:
     resolution: {integrity: sha512-JJmfsG3c4gwBHzUGffbV7ifMNkKAWMCnYE3xJl87gty7hjyV5f3xq7eqTjP5HFYvO4XpjJvvWO2/djHp5S10tw==}
 
-  lexical@0.39.0:
-    resolution: {integrity: sha512-lpLv7MEJH5QDujEDlYqettL3ATVtNYjqyimzqgrm0RvCm3AO9WXSdsgTxuN7IAZRu88xkxCDeYubeUf4mNZVdg==}
-
   lib0@0.2.117:
     resolution: {integrity: sha512-DeXj9X5xDCjgKLU/7RR+/HQEVzuuEUiwldwOGsHK/sfAfELGWEyTcf0x+uOvCvK3O2zPmZePXWL85vtia6GyZw==}
     engines: {node: '>=16'}
@@ -10400,14 +10373,6 @@ snapshots:
       '@lexical/utils': 0.38.2
       lexical: 0.38.2
 
-  '@lexical/clipboard@0.39.0':
-    dependencies:
-      '@lexical/html': 0.39.0
-      '@lexical/list': 0.39.0
-      '@lexical/selection': 0.39.0
-      '@lexical/utils': 0.39.0
-      lexical: 0.39.0
-
   '@lexical/code@0.38.2':
     dependencies:
       '@lexical/utils': 0.38.2
@@ -10436,12 +10401,6 @@ snapshots:
       '@preact/signals-core': 1.12.1
       lexical: 0.38.2
 
-  '@lexical/extension@0.39.0':
-    dependencies:
-      '@lexical/utils': 0.39.0
-      '@preact/signals-core': 1.12.2
-      lexical: 0.39.0
-
   '@lexical/hashtag@0.38.2':
     dependencies:
       '@lexical/text': 0.38.2
@@ -10460,12 +10419,6 @@ snapshots:
       '@lexical/utils': 0.38.2
       lexical: 0.38.2
 
-  '@lexical/html@0.39.0':
-    dependencies:
-      '@lexical/selection': 0.39.0
-      '@lexical/utils': 0.39.0
-      lexical: 0.39.0
-
   '@lexical/link@0.38.2':
     dependencies:
       '@lexical/extension': 0.38.2
@@ -10479,13 +10432,6 @@ snapshots:
       '@lexical/utils': 0.38.2
       lexical: 0.38.2
 
-  '@lexical/list@0.39.0':
-    dependencies:
-      '@lexical/extension': 0.39.0
-      '@lexical/selection': 0.39.0
-      '@lexical/utils': 0.39.0
-      lexical: 0.39.0
-
   '@lexical/mark@0.38.2':
     dependencies:
       '@lexical/utils': 0.38.2
@@ -10555,10 +10501,6 @@ snapshots:
     dependencies:
       lexical: 0.38.2
 
-  '@lexical/selection@0.39.0':
-    dependencies:
-      lexical: 0.39.0
-
   '@lexical/table@0.38.2':
     dependencies:
       '@lexical/clipboard': 0.38.2
@@ -10566,13 +10508,6 @@ snapshots:
       '@lexical/utils': 0.38.2
       lexical: 0.38.2
 
-  '@lexical/table@0.39.0':
-    dependencies:
-      '@lexical/clipboard': 0.39.0
-      '@lexical/extension': 0.39.0
-      '@lexical/utils': 0.39.0
-      lexical: 0.39.0
-
   '@lexical/text@0.38.2':
     dependencies:
       lexical: 0.38.2
@@ -10584,13 +10519,6 @@ snapshots:
       '@lexical/table': 0.38.2
       lexical: 0.38.2
 
-  '@lexical/utils@0.39.0':
-    dependencies:
-      '@lexical/list': 0.39.0
-      '@lexical/selection': 0.39.0
-      '@lexical/table': 0.39.0
-      lexical: 0.39.0
-
   '@lexical/yjs@0.38.2(yjs@13.6.27)':
     dependencies:
       '@lexical/offset': 0.38.2
@@ -11045,8 +10973,6 @@ snapshots:
 
   '@preact/signals-core@1.12.1': {}
 
-  '@preact/signals-core@1.12.2': {}
-
   '@preact/signals@1.3.2(preact@10.28.0)':
     dependencies:
       '@preact/signals-core': 1.12.1
@@ -15164,8 +15090,6 @@ snapshots:
 
   lexical@0.38.2: {}
 
-  lexical@0.39.0: {}
-
   lib0@0.2.117:
     dependencies:
       isomorphic.js: 0.2.5