Merge branch 'main' into feat/parent-child-retrieval

api/.env.example

@@ -433,3 +433,7 @@ RESET_PASSWORD_TOKEN_EXPIRY_MINUTES=5
 
 CREATE_TIDB_SERVICE_JOB_ENABLED=false
 
+# Maximum number of submitted thread count in a ThreadPool for parallel node execution
+MAX_SUBMIT_COUNT=100
+# Lockout duration in seconds
+LOGIN_LOCKOUT_DURATION=86400

api/configs/feature/__init__.py

@@ -439,6 +439,17 @@ class WorkflowConfig(BaseSettings):
     )
 
 
+class WorkflowNodeExecutionConfig(BaseSettings):
+    """
+    Configuration for workflow node execution
+    """
+
+    MAX_SUBMIT_COUNT: PositiveInt = Field(
+        description="Maximum number of submitted thread count in a ThreadPool for parallel node execution",
+        default=100,
+    )
+
+
 class AuthConfig(BaseSettings):
     """
     Configuration for authentication and OAuth
@@ -474,6 +485,11 @@ class AuthConfig(BaseSettings):
         default=60,
     )
 
+    LOGIN_LOCKOUT_DURATION: PositiveInt = Field(
+        description="Time (in seconds) a user must wait before retrying login after exceeding the rate limit.",
+        default=86400,
+    )
+
 
 class ModerationConfig(BaseSettings):
     """
@@ -775,6 +791,7 @@ class FeatureConfig(
     ToolConfig,
     UpdateConfig,
     WorkflowConfig,
+    WorkflowNodeExecutionConfig,
     WorkspaceConfig,
     LoginConfig,
     # hosted services config

api/configs/packaging/__init__.py

@@ -9,7 +9,7 @@ class PackagingInfo(BaseSettings):
 
     CURRENT_VERSION: str = Field(
         description="Dify version",
-        default="0.13.2",
+        default="0.14.0",
     )
 
     COMMIT_SHA: str = Field(

api/core/model_runtime/model_providers/baichuan/llm/llm.py

@@ -10,6 +10,7 @@ from core.model_runtime.entities.llm_entities import (
 from core.model_runtime.entities.message_entities import (
     AssistantPromptMessage,
     PromptMessage,
+    PromptMessageContentType,
     PromptMessageTool,
     SystemPromptMessage,
     ToolPromptMessage,
@@ -105,7 +106,11 @@ class BaichuanLanguageModel(LargeLanguageModel):
             if isinstance(message.content, str):
                 message_dict = {"role": "user", "content": message.content}
             else:
-                raise ValueError("User message content must be str")
+                for message_content in message.content:
+                    if message_content.type == PromptMessageContentType.TEXT:
+                        message_dict = {"role": "user", "content": message_content.data}
+                    elif message_content.type == PromptMessageContentType.IMAGE:
+                        raise ValueError("Content object type not support image_url")
         elif isinstance(message, AssistantPromptMessage):
             message = cast(AssistantPromptMessage, message)
             message_dict = {"role": "assistant", "content": message.content}

api/core/model_runtime/model_providers/deepseek/llm/llm.py

@@ -24,6 +24,9 @@ class DeepseekLargeLanguageModel(OAIAPICompatLargeLanguageModel):
         user: Optional[str] = None,
     ) -> Union[LLMResult, Generator]:
         self._add_custom_parameters(credentials)
+        # {"response_format": "xx"} need convert to {"response_format": {"type": "xx"}}
+        if "response_format" in model_parameters:
+            model_parameters["response_format"] = {"type": model_parameters.get("response_format")}
         return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream)
 
     def validate_credentials(self, model: str, credentials: dict) -> None:

api/core/model_runtime/model_providers/gitee_ai/llm/InternVL2-8B.yaml

@@ -0,0 +1,93 @@
+model: InternVL2-8B
+label:
+  en_US: InternVL2-8B
+model_type: llm
+features:
+  - vision
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 32000
+parameter_rules:
+  - name: max_tokens
+    use_template: max_tokens
+    label:
+      en_US: "Max Tokens"
+      zh_Hans: "最大Token数"
+    type: int
+    default: 512
+    min: 1
+    required: true
+    help:
+      en_US: "The maximum number of tokens that can be generated by the model varies depending on the model."
+      zh_Hans: "模型可生成的最大 token 个数，不同模型上限不同。"
+
+  - name: temperature
+    use_template: temperature
+    label:
+      en_US: "Temperature"
+      zh_Hans: "采样温度"
+    type: float
+    default: 0.7
+    min: 0.0
+    max: 1.0
+    precision: 1
+    required: true
+    help:
+      en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
+      zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
+
+  - name: top_p
+    use_template: top_p
+    label:
+      en_US: "Top P"
+      zh_Hans: "Top P"
+    type: float
+    default: 0.7
+    min: 0.0
+    max: 1.0
+    precision: 1
+    required: true
+    help:
+      en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
+      zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
+
+  - name: top_k
+    use_template: top_k
+    label:
+      en_US: "Top K"
+      zh_Hans: "Top K"
+    type: int
+    default: 50
+    min: 0
+    max: 100
+    required: true
+    help:
+      en_US: "The value range is [0,100], which limits the model to only select from the top k words with the highest probability when choosing the next word at each step. The larger the value, the more diverse text generation will be."
+      zh_Hans: "取值范围为 [0,100]，限制模型在每一步选择下一个词时，只从概率最高的前 k 个词中选取。数值越大，文本生成越多样。"
+
+  - name: frequency_penalty
+    use_template: frequency_penalty
+    label:
+      en_US: "Frequency Penalty"
+      zh_Hans: "频率惩罚"
+    type: float
+    default: 0
+    min: -1.0
+    max: 1.0
+    precision: 1
+    required: false
+    help:
+      en_US: "Used to adjust the frequency of repeated content in automatically generated text. Positive numbers reduce repetition, while negative numbers increase repetition. After setting this parameter, if a word has already appeared in the text, the model will decrease the probability of choosing that word for subsequent generation."
+      zh_Hans: "用于调整自动生成文本中重复内容的频率。正数减少重复，负数增加重复。设置此参数后，如果一个词在文本中已经出现过，模型在后续生成中选择该词的概率会降低。"
+
+  - name: user
+    use_template: text
+    label:
+      en_US: "User"
+      zh_Hans: "用户"
+    type: string
+    required: false
+    help:
+      en_US: "Used to track and differentiate conversation requests from different users."
+      zh_Hans: "用于追踪和区分不同用户的对话请求。"

api/core/model_runtime/model_providers/gitee_ai/llm/InternVL2.5-26B.yaml

@@ -0,0 +1,93 @@
+model: InternVL2.5-26B
+label:
+  en_US: InternVL2.5-26B
+model_type: llm
+features:
+  - vision
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 32000
+parameter_rules:
+  - name: max_tokens
+    use_template: max_tokens
+    label:
+      en_US: "Max Tokens"
+      zh_Hans: "最大Token数"
+    type: int
+    default: 512
+    min: 1
+    required: true
+    help:
+      en_US: "The maximum number of tokens that can be generated by the model varies depending on the model."
+      zh_Hans: "模型可生成的最大 token 个数，不同模型上限不同。"
+
+  - name: temperature
+    use_template: temperature
+    label:
+      en_US: "Temperature"
+      zh_Hans: "采样温度"
+    type: float
+    default: 0.7
+    min: 0.0
+    max: 1.0
+    precision: 1
+    required: true
+    help:
+      en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
+      zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
+
+  - name: top_p
+    use_template: top_p
+    label:
+      en_US: "Top P"
+      zh_Hans: "Top P"
+    type: float
+    default: 0.7
+    min: 0.0
+    max: 1.0
+    precision: 1
+    required: true
+    help:
+      en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
+      zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
+
+  - name: top_k
+    use_template: top_k
+    label:
+      en_US: "Top K"
+      zh_Hans: "Top K"
+    type: int
+    default: 50
+    min: 0
+    max: 100
+    required: true
+    help:
+      en_US: "The value range is [0,100], which limits the model to only select from the top k words with the highest probability when choosing the next word at each step. The larger the value, the more diverse text generation will be."
+      zh_Hans: "取值范围为 [0,100]，限制模型在每一步选择下一个词时，只从概率最高的前 k 个词中选取。数值越大，文本生成越多样。"
+
+  - name: frequency_penalty
+    use_template: frequency_penalty
+    label:
+      en_US: "Frequency Penalty"
+      zh_Hans: "频率惩罚"
+    type: float
+    default: 0
+    min: -1.0
+    max: 1.0
+    precision: 1
+    required: false
+    help:
+      en_US: "Used to adjust the frequency of repeated content in automatically generated text. Positive numbers reduce repetition, while negative numbers increase repetition. After setting this parameter, if a word has already appeared in the text, the model will decrease the probability of choosing that word for subsequent generation."
+      zh_Hans: "用于调整自动生成文本中重复内容的频率。正数减少重复，负数增加重复。设置此参数后，如果一个词在文本中已经出现过，模型在后续生成中选择该词的概率会降低。"
+
+  - name: user
+    use_template: text
+    label:
+      en_US: "User"
+      zh_Hans: "用户"
+    type: string
+    required: false
+    help:
+      en_US: "Used to track and differentiate conversation requests from different users."
+      zh_Hans: "用于追踪和区分不同用户的对话请求。"

api/core/model_runtime/model_providers/gitee_ai/llm/_position.yaml

@@ -6,3 +6,5 @@
 - deepseek-coder-33B-instruct-chat
 - deepseek-coder-33B-instruct-completions
 - codegeex4-all-9b
+- InternVL2.5-26B
+- InternVL2-8B

api/core/model_runtime/model_providers/gitee_ai/llm/llm.py

@@ -29,18 +29,26 @@ class GiteeAILargeLanguageModel(OAIAPICompatLargeLanguageModel):
         user: Optional[str] = None,
     ) -> Union[LLMResult, Generator]:
         self._add_custom_parameters(credentials, model, model_parameters)
-        return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user)
+        return super()._invoke(
+            GiteeAILargeLanguageModel.MODEL_TO_IDENTITY.get(model, model),
+            credentials,
+            prompt_messages,
+            model_parameters,
+            tools,
+            stop,
+            stream,
+            user,
+        )
 
     def validate_credentials(self, model: str, credentials: dict) -> None:
-        self._add_custom_parameters(credentials, None)
+        self._add_custom_parameters(credentials, model, None)
-        super().validate_credentials(model, credentials)
+        super().validate_credentials(GiteeAILargeLanguageModel.MODEL_TO_IDENTITY.get(model, model), credentials)
 
-    def _add_custom_parameters(self, credentials: dict, model: Optional[str]) -> None:
+    def _add_custom_parameters(self, credentials: dict, model: Optional[str], model_parameters: dict) -> None:
         if model is None:
             model = "Qwen2-72B-Instruct"
 
-        model_identity = GiteeAILargeLanguageModel.MODEL_TO_IDENTITY.get(model, model)
+        credentials["endpoint_url"] = "https://ai.gitee.com/v1"
-        credentials["endpoint_url"] = f"https://ai.gitee.com/api/serverless/{model_identity}/"
         if model.endswith("completions"):
             credentials["mode"] = LLMMode.COMPLETION.value
         else:

api/core/model_runtime/model_providers/volcengine_maas/legacy/client.py

@@ -68,7 +68,12 @@ class MaaSClient(MaasService):
                 content = []
                 for message_content in message.content:
                     if message_content.type == PromptMessageContentType.TEXT:
-                        raise ValueError("Content object type only support image_url")
+                        content.append(
+                            {
+                                "type": "text",
+                                "text": message_content.data,
+                            }
+                        )
                     elif message_content.type == PromptMessageContentType.IMAGE:
                         message_content = cast(ImagePromptMessageContent, message_content)
                         image_data = re.sub(r"^data:image\/[a-zA-Z]+;base64,", "", message_content.data)

api/core/workflow/graph_engine/graph_engine.py

@@ -9,6 +9,7 @@ from typing import Any, Optional, cast
 
 from flask import Flask, current_app
 
+from configs import dify_config
 from core.app.apps.base_app_queue_manager import GenerateTaskStoppedError
 from core.app.entities.app_invoke_entities import InvokeFrom
 from core.workflow.entities.node_entities import NodeRunMetadataKey, NodeRunResult
@@ -52,7 +53,12 @@ logger = logging.getLogger(__name__)
 
 class GraphEngineThreadPool(ThreadPoolExecutor):
     def __init__(
-        self, max_workers=None, thread_name_prefix="", initializer=None, initargs=(), max_submit_count=100
+        self,
+        max_workers=None,
+        thread_name_prefix="",
+        initializer=None,
+        initargs=(),
+        max_submit_count=dify_config.MAX_SUBMIT_COUNT,
     ) -> None:
         super().__init__(max_workers, thread_name_prefix, initializer, initargs)
         self.max_submit_count = max_submit_count
@@ -92,7 +98,7 @@ class GraphEngine:
         max_execution_time: int,
         thread_pool_id: Optional[str] = None,
     ) -> None:
-        thread_pool_max_submit_count = 100
+        thread_pool_max_submit_count = dify_config.MAX_SUBMIT_COUNT
         thread_pool_max_workers = 10
 
         # init thread pool

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

@@ -163,7 +163,9 @@ class IterationNode(BaseNode[IterationNodeData]):
             if self.node_data.is_parallel:
                 futures: list[Future] = []
                 q: Queue = Queue()
-                thread_pool = GraphEngineThreadPool(max_workers=self.node_data.parallel_nums, max_submit_count=100)
+                thread_pool = GraphEngineThreadPool(
+                    max_workers=self.node_data.parallel_nums, max_submit_count=dify_config.MAX_SUBMIT_COUNT
+                )
                 for index, item in enumerate(iterator_list_value):
                     future: Future = thread_pool.submit(
                         self._run_single_iter_parallel,

api/libs/helper.py

@@ -10,10 +10,10 @@ from collections.abc import Generator, Mapping
 from datetime import datetime
 from hashlib import sha256
 from typing import Any, Optional, Union, cast
+from zoneinfo import available_timezones
 
 from flask import Response, stream_with_context
 from flask_restful import fields  # type: ignore
-from zoneinfo import available_timezones
 
 from configs import dify_config
 from core.app.features.rate_limiting.rate_limit import RateLimitGenerator

api/models/workflow.py

@@ -225,8 +225,10 @@ class Workflow(db.Model):
         from models.tools import WorkflowToolProvider
 
         return (
-            db.session.query(WorkflowToolProvider).filter(WorkflowToolProvider.app_id == self.app_id).first()
+            db.session.query(WorkflowToolProvider)
-            is not None
+            .filter(WorkflowToolProvider.tenant_id == self.tenant_id, WorkflowToolProvider.app_id == self.app_id)
+            .count()
+            > 0
         )
 
     @property

api/poetry.lock

@@ -11,6 +11,17 @@ files = [
     {file = "aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c"},
 ]
 
+[[package]]
+name = "aiofiles"
+version = "24.1.0"
+description = "File support for asyncio."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5"},
+    {file = "aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c"},
+]
+
 [[package]]
 name = "aiohappyeyeballs"
 version = "2.4.4"
@@ -955,6 +966,10 @@ files = [
     {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:a37b8f0391212d29b3a91a799c8e4a2855e0576911cdfb2515487e30e322253d"},
     {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:e84799f09591700a4154154cab9787452925578841a94321d5ee8fb9a9a328f0"},
     {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:f66b5337fa213f1da0d9000bc8dc0cb5b896b726eefd9c6046f699b169c41b9e"},
+    {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:5dab0844f2cf82be357a0eb11a9087f70c5430b2c241493fc122bb6f2bb0917c"},
+    {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:e4fe605b917c70283db7dfe5ada75e04561479075761a0b3866c081d035b01c1"},
+    {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:1e9a65b5736232e7a7f91ff3d02277f11d339bf34099a56cdab6a8b3410a02b2"},
+    {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:58d4b711689366d4a03ac7957ab8c28890415e267f9b6589969e74b6e42225ec"},
     {file = "Brotli-1.1.0-cp310-cp310-win32.whl", hash = "sha256:be36e3d172dc816333f33520154d708a2657ea63762ec16b62ece02ab5e4daf2"},
     {file = "Brotli-1.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:0c6244521dda65ea562d5a69b9a26120769b7a9fb3db2fe9545935ed6735b128"},
     {file = "Brotli-1.1.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:a3daabb76a78f829cafc365531c972016e4aa8d5b4bf60660ad8ecee19df7ccc"},
@@ -967,8 +982,14 @@ files = [
     {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:19c116e796420b0cee3da1ccec3b764ed2952ccfcc298b55a10e5610ad7885f9"},
     {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:510b5b1bfbe20e1a7b3baf5fed9e9451873559a976c1a78eebaa3b86c57b4265"},
     {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:a1fd8a29719ccce974d523580987b7f8229aeace506952fa9ce1d53a033873c8"},
+    {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:c247dd99d39e0338a604f8c2b3bc7061d5c2e9e2ac7ba9cc1be5a69cb6cd832f"},
+    {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:1b2c248cd517c222d89e74669a4adfa5577e06ab68771a529060cf5a156e9757"},
+    {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:2a24c50840d89ded6c9a8fdc7b6ed3692ed4e86f1c4a4a938e1e92def92933e0"},
+    {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:f31859074d57b4639318523d6ffdca586ace54271a73ad23ad021acd807eb14b"},
     {file = "Brotli-1.1.0-cp311-cp311-win32.whl", hash = "sha256:39da8adedf6942d76dc3e46653e52df937a3c4d6d18fdc94a7c29d263b1f5b50"},
     {file = "Brotli-1.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:aac0411d20e345dc0920bdec5548e438e999ff68d77564d5e9463a7ca9d3e7b1"},
+    {file = "Brotli-1.1.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:32d95b80260d79926f5fab3c41701dbb818fde1c9da590e77e571eefd14abe28"},
+    {file = "Brotli-1.1.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:b760c65308ff1e462f65d69c12e4ae085cff3b332d894637f6273a12a482d09f"},
     {file = "Brotli-1.1.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:316cc9b17edf613ac76b1f1f305d2a748f1b976b033b049a6ecdfd5612c70409"},
     {file = "Brotli-1.1.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:caf9ee9a5775f3111642d33b86237b05808dafcd6268faa492250e9b78046eb2"},
     {file = "Brotli-1.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:70051525001750221daa10907c77830bc889cb6d865cc0b813d9db7fefc21451"},
@@ -979,8 +1000,24 @@ files = [
     {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:4093c631e96fdd49e0377a9c167bfd75b6d0bad2ace734c6eb20b348bc3ea180"},
     {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:7e4c4629ddad63006efa0ef968c8e4751c5868ff0b1c5c40f76524e894c50248"},
     {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:861bf317735688269936f755fa136a99d1ed526883859f86e41a5d43c61d8966"},
+    {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:87a3044c3a35055527ac75e419dfa9f4f3667a1e887ee80360589eb8c90aabb9"},
+    {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:c5529b34c1c9d937168297f2c1fde7ebe9ebdd5e121297ff9c043bdb2ae3d6fb"},
+    {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:ca63e1890ede90b2e4454f9a65135a4d387a4585ff8282bb72964fab893f2111"},
+    {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:e79e6520141d792237c70bcd7a3b122d00f2613769ae0cb61c52e89fd3443839"},
     {file = "Brotli-1.1.0-cp312-cp312-win32.whl", hash = "sha256:5f4d5ea15c9382135076d2fb28dde923352fe02951e66935a9efaac8f10e81b0"},
     {file = "Brotli-1.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:906bc3a79de8c4ae5b86d3d75a8b77e44404b0f4261714306e3ad248d8ab0951"},
+    {file = "Brotli-1.1.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:8bf32b98b75c13ec7cf774164172683d6e7891088f6316e54425fde1efc276d5"},
+    {file = "Brotli-1.1.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:7bc37c4d6b87fb1017ea28c9508b36bbcb0c3d18b4260fcdf08b200c74a6aee8"},
+    {file = "Brotli-1.1.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3c0ef38c7a7014ffac184db9e04debe495d317cc9c6fb10071f7fefd93100a4f"},
+    {file = "Brotli-1.1.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:91d7cc2a76b5567591d12c01f019dd7afce6ba8cba6571187e21e2fc418ae648"},
+    {file = "Brotli-1.1.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a93dde851926f4f2678e704fadeb39e16c35d8baebd5252c9fd94ce8ce68c4a0"},
+    {file = "Brotli-1.1.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f0db75f47be8b8abc8d9e31bc7aad0547ca26f24a54e6fd10231d623f183d089"},
+    {file = "Brotli-1.1.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:6967ced6730aed543b8673008b5a391c3b1076d834ca438bbd70635c73775368"},
+    {file = "Brotli-1.1.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:7eedaa5d036d9336c95915035fb57422054014ebdeb6f3b42eac809928e40d0c"},
+    {file = "Brotli-1.1.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:d487f5432bf35b60ed625d7e1b448e2dc855422e87469e3f450aa5552b0eb284"},
+    {file = "Brotli-1.1.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:832436e59afb93e1836081a20f324cb185836c617659b07b129141a8426973c7"},
+    {file = "Brotli-1.1.0-cp313-cp313-win32.whl", hash = "sha256:43395e90523f9c23a3d5bdf004733246fba087f2948f87ab28015f12359ca6a0"},
+    {file = "Brotli-1.1.0-cp313-cp313-win_amd64.whl", hash = "sha256:9011560a466d2eb3f5a6e4929cf4a09be405c64154e12df0dd72713f6500e32b"},
     {file = "Brotli-1.1.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:a090ca607cbb6a34b0391776f0cb48062081f5f60ddcce5d11838e67a01928d1"},
     {file = "Brotli-1.1.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2de9d02f5bda03d27ede52e8cfe7b865b066fa49258cbab568720aa5be80a47d"},
     {file = "Brotli-1.1.0-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2333e30a5e00fe0fe55903c8832e08ee9c3b1382aacf4db26664a16528d51b4b"},
@@ -990,6 +1027,10 @@ files = [
     {file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_1_i686.whl", hash = "sha256:fd5f17ff8f14003595ab414e45fce13d073e0762394f957182e69035c9f3d7c2"},
     {file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_1_ppc64le.whl", hash = "sha256:069a121ac97412d1fe506da790b3e69f52254b9df4eb665cd42460c837193354"},
     {file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:e93dfc1a1165e385cc8239fab7c036fb2cd8093728cbd85097b284d7b99249a2"},
+    {file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_2_aarch64.whl", hash = "sha256:aea440a510e14e818e67bfc4027880e2fb500c2ccb20ab21c7a7c8b5b4703d75"},
+    {file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_2_i686.whl", hash = "sha256:6974f52a02321b36847cd19d1b8e381bf39939c21efd6ee2fc13a28b0d99348c"},
+    {file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_2_ppc64le.whl", hash = "sha256:a7e53012d2853a07a4a79c00643832161a910674a893d296c9f1259859a289d2"},
+    {file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_2_x86_64.whl", hash = "sha256:d7702622a8b40c49bffb46e1e3ba2e81268d5c04a34f460978c6b5517a34dd52"},
     {file = "Brotli-1.1.0-cp36-cp36m-win32.whl", hash = "sha256:a599669fd7c47233438a56936988a2478685e74854088ef5293802123b5b2460"},
     {file = "Brotli-1.1.0-cp36-cp36m-win_amd64.whl", hash = "sha256:d143fd47fad1db3d7c27a1b1d66162e855b5d50a89666af46e1679c496e8e579"},
     {file = "Brotli-1.1.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:11d00ed0a83fa22d29bc6b64ef636c4552ebafcef57154b4ddd132f5638fbd1c"},
@@ -1001,6 +1042,10 @@ files = [
     {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:919e32f147ae93a09fe064d77d5ebf4e35502a8df75c29fb05788528e330fe74"},
     {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:23032ae55523cc7bccb4f6a0bf368cd25ad9bcdcc1990b64a647e7bbcce9cb5b"},
     {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:224e57f6eac61cc449f498cc5f0e1725ba2071a3d4f48d5d9dffba42db196438"},
+    {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:cb1dac1770878ade83f2ccdf7d25e494f05c9165f5246b46a621cc849341dc01"},
+    {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_2_i686.whl", hash = "sha256:3ee8a80d67a4334482d9712b8e83ca6b1d9bc7e351931252ebef5d8f7335a547"},
+    {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_2_ppc64le.whl", hash = "sha256:5e55da2c8724191e5b557f8e18943b1b4839b8efc3ef60d65985bcf6f587dd38"},
+    {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:d342778ef319e1026af243ed0a07c97acf3bad33b9f29e7ae6a1f68fd083e90c"},
     {file = "Brotli-1.1.0-cp37-cp37m-win32.whl", hash = "sha256:587ca6d3cef6e4e868102672d3bd9dc9698c309ba56d41c2b9c85bbb903cdb95"},
     {file = "Brotli-1.1.0-cp37-cp37m-win_amd64.whl", hash = "sha256:2954c1c23f81c2eaf0b0717d9380bd348578a94161a65b3a2afc62c86467dd68"},
     {file = "Brotli-1.1.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:efa8b278894b14d6da122a72fefcebc28445f2d3f880ac59d46c90f4c13be9a3"},
@@ -1013,6 +1058,10 @@ files = [
     {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:1ab4fbee0b2d9098c74f3057b2bc055a8bd92ccf02f65944a241b4349229185a"},
     {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:141bd4d93984070e097521ed07e2575b46f817d08f9fa42b16b9b5f27b5ac088"},
     {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:fce1473f3ccc4187f75b4690cfc922628aed4d3dd013d047f95a9b3919a86596"},
+    {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:d2b35ca2c7f81d173d2fadc2f4f31e88cc5f7a39ae5b6db5513cf3383b0e0ec7"},
+    {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:af6fa6817889314555aede9a919612b23739395ce767fe7fcbea9a80bf140fe5"},
+    {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:2feb1d960f760a575dbc5ab3b1c00504b24caaf6986e2dc2b01c09c87866a943"},
+    {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:4410f84b33374409552ac9b6903507cdb31cd30d2501fc5ca13d18f73548444a"},
     {file = "Brotli-1.1.0-cp38-cp38-win32.whl", hash = "sha256:db85ecf4e609a48f4b29055f1e144231b90edc90af7481aa731ba2d059226b1b"},
     {file = "Brotli-1.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:3d7954194c36e304e1523f55d7042c59dc53ec20dd4e9ea9d151f1b62b4415c0"},
     {file = "Brotli-1.1.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:5fb2ce4b8045c78ebbc7b8f3c15062e435d47e7393cc57c25115cfd49883747a"},
@@ -1025,6 +1074,10 @@ files = [
     {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:949f3b7c29912693cee0afcf09acd6ebc04c57af949d9bf77d6101ebb61e388c"},
     {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:89f4988c7203739d48c6f806f1e87a1d96e0806d44f0fba61dba81392c9e474d"},
     {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:de6551e370ef19f8de1807d0a9aa2cdfdce2e85ce88b122fe9f6b2b076837e59"},
+    {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:0737ddb3068957cf1b054899b0883830bb1fec522ec76b1098f9b6e0f02d9419"},
+    {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:4f3607b129417e111e30637af1b56f24f7a49e64763253bbc275c75fa887d4b2"},
+    {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:6c6e0c425f22c1c719c42670d561ad682f7bfeeef918edea971a79ac5252437f"},
+    {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:494994f807ba0b92092a163a0a283961369a65f6cbe01e8891132b7a320e61eb"},
     {file = "Brotli-1.1.0-cp39-cp39-win32.whl", hash = "sha256:f0d8a7a6b5983c2496e364b969f0e526647a06b075d034f3297dc66f3b360c64"},
     {file = "Brotli-1.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:cdad5b9014d83ca68c25d2e9444e28e967ef16e80f6b436918c700c117a85467"},
     {file = "Brotli-1.1.0.tar.gz", hash = "sha256:81de08ac11bcb85841e440c13611c00b67d3bf82698314928d0b676362546724"},
@@ -7482,23 +7535,24 @@ image = ["Pillow (>=8.0.0)"]
 
 [[package]]
 name = "pypdfium2"
-version = "4.17.0"
+version = "4.30.0"
 description = "Python bindings to PDFium"
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "pypdfium2-4.17.0-py3-none-macosx_10_13_x86_64.whl", hash = "sha256:e9ed42d5a5065ae41ae3ead3cd642e1f21b6039e69ccc204e260e218e91cd7e1"},
+    {file = "pypdfium2-4.30.0-py3-none-macosx_10_13_x86_64.whl", hash = "sha256:b33ceded0b6ff5b2b93bc1fe0ad4b71aa6b7e7bd5875f1ca0cdfb6ba6ac01aab"},
-    {file = "pypdfium2-4.17.0-py3-none-macosx_11_0_arm64.whl", hash = "sha256:0a3b5a8eca53a1e68434969821b70bd2bc9ac2b70e58daf516c6ff0b6b5779e7"},
+    {file = "pypdfium2-4.30.0-py3-none-macosx_11_0_arm64.whl", hash = "sha256:4e55689f4b06e2d2406203e771f78789bd4f190731b5d57383d05cf611d829de"},
-    {file = "pypdfium2-4.17.0-py3-none-manylinux_2_17_aarch64.whl", hash = "sha256:854e04b51205466ec415b86588fe5dc593e9ca3e8e15b5aa05978c5352bd57d2"},
+    {file = "pypdfium2-4.30.0-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4e6e50f5ce7f65a40a33d7c9edc39f23140c57e37144c2d6d9e9262a2a854854"},
-    {file = "pypdfium2-4.17.0-py3-none-manylinux_2_17_armv7l.whl", hash = "sha256:9ff8707b28568e9585bdf9a96b7a8a9f91c0b5ad05af119b49381dad89983364"},
+    {file = "pypdfium2-4.30.0-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:3d0dd3ecaffd0b6dbda3da663220e705cb563918249bda26058c6036752ba3a2"},
-    {file = "pypdfium2-4.17.0-py3-none-manylinux_2_17_i686.whl", hash = "sha256:09ecbef6212993db0b5460cfd46d6b157a921ff45c97b0764e6fe8ea2e8cdebf"},
+    {file = "pypdfium2-4.30.0-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cc3bf29b0db8c76cdfaac1ec1cde8edf211a7de7390fbf8934ad2aa9b4d6dfad"},
-    {file = "pypdfium2-4.17.0-py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:f680e469b79c71c3fb086d7ced8361fbd66f4cd7b0ad08ff888289fe6743ab32"},
+    {file = "pypdfium2-4.30.0-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f1f78d2189e0ddf9ac2b7a9b9bd4f0c66f54d1389ff6c17e9fd9dc034d06eb3f"},
-    {file = "pypdfium2-4.17.0-py3-none-musllinux_1_2_i686.whl", hash = "sha256:1ba7a7da48fbf0f1aaa903dac7d0e62186d6e8ae9a78b7b7b836d3f1b3d1be5d"},
+    {file = "pypdfium2-4.30.0-py3-none-musllinux_1_1_aarch64.whl", hash = "sha256:5eda3641a2da7a7a0b2f4dbd71d706401a656fea521b6b6faa0675b15d31a163"},
-    {file = "pypdfium2-4.17.0-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:451752170caf59d4b4572b527c2858dfff96eb1da35f2822c66cdce006dd4eae"},
+    {file = "pypdfium2-4.30.0-py3-none-musllinux_1_1_i686.whl", hash = "sha256:0dfa61421b5eb68e1188b0b2231e7ba35735aef2d867d86e48ee6cab6975195e"},
-    {file = "pypdfium2-4.17.0-py3-none-win32.whl", hash = "sha256:4930cfa793298214fa644c6986f6466e21f98eba3f338b4577614ebd8aa34af5"},
+    {file = "pypdfium2-4.30.0-py3-none-musllinux_1_1_x86_64.whl", hash = "sha256:f33bd79e7a09d5f7acca3b0b69ff6c8a488869a7fab48fdf400fec6e20b9c8be"},
-    {file = "pypdfium2-4.17.0-py3-none-win_amd64.whl", hash = "sha256:99de7f336e967dea4d324484f581fff55db1eb3c8e90baa845567dd9a3cc84f3"},
+    {file = "pypdfium2-4.30.0-py3-none-win32.whl", hash = "sha256:ee2410f15d576d976c2ab2558c93d392a25fb9f6635e8dd0a8a3a5241b275e0e"},
-    {file = "pypdfium2-4.17.0-py3-none-win_arm64.whl", hash = "sha256:9381677b489c13d64ea4f8cbf6ebfc858216b052883e01e40fa993c2818a078e"},
+    {file = "pypdfium2-4.30.0-py3-none-win_amd64.whl", hash = "sha256:90dbb2ac07be53219f56be09961eb95cf2473f834d01a42d901d13ccfad64b4c"},
-    {file = "pypdfium2-4.17.0.tar.gz", hash = "sha256:2a2b3273c4614ee2004df60ace5f387645f843418ae29f379408ee11560241c0"},
+    {file = "pypdfium2-4.30.0-py3-none-win_arm64.whl", hash = "sha256:119b2969a6d6b1e8d55e99caaf05290294f2d0fe49c12a3f17102d01c441bd29"},
+    {file = "pypdfium2-4.30.0.tar.gz", hash = "sha256:48b5b7e5566665bc1015b9d69c1ebabe21f6aee468b509531c3c8318eeee2e16"},
 ]
 
 [[package]]
@@ -11052,4 +11106,4 @@ cffi = ["cffi (>=1.11)"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.11,<3.13"
-content-hash = "1aa6a44bc9270d50c9c0ea09f55a304b5148bf4dbbbb068ff1b1ea8da6fa60cc"
+content-hash = "14476bf95504a4df4b8d5a5c6608c6aa3dae7499d27d1e41ef39d761cc7c693d"

api/pyproject.toml

@@ -66,7 +66,7 @@ pydantic = "~2.9.2"
 pydantic-settings = "~2.6.0"
 pydantic_extra_types = "~2.9.0"
 pyjwt = "~2.8.0"
-pypdfium2 = "~4.17.0"
+pypdfium2 = "~4.30.0"
 python = ">=3.11,<3.13"
 python-docx = "~1.1.0"
 python-dotenv = "1.0.0"

api/services/account_service.py

@@ -420,7 +420,7 @@ class AccountService:
         if count is None:
             count = 0
         count = int(count) + 1
-        redis_client.setex(key, 60 * 60 * 24, count)
+        redis_client.setex(key, dify_config.LOGIN_LOCKOUT_DURATION, count)
 
     @staticmethod
     def is_login_error_rate_limit(email: str) -> bool:

docker-legacy/docker-compose.yaml

@@ -2,7 +2,7 @@ version: '3'
 services:
   # API service
   api:
-    image: langgenius/dify-api:0.13.2
+    image: langgenius/dify-api:0.14.0
     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:0.13.2
+    image: langgenius/dify-api:0.14.0
     restart: always
     environment:
       CONSOLE_WEB_URL: ''
@@ -397,7 +397,7 @@ services:
 
   # Frontend web application.
   web:
-    image: langgenius/dify-web:0.13.2
+    image: langgenius/dify-web:0.14.0
     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

@@ -944,3 +944,6 @@ CSP_WHITELIST=
 
 # Enable or disable create tidb service job
 CREATE_TIDB_SERVICE_JOB_ENABLED=false
+
+# Maximum number of submitted thread count in a ThreadPool for parallel node execution
+MAX_SUBMIT_COUNT=100

docker/docker-compose.yaml

@@ -287,12 +287,15 @@ x-shared-env: &shared-api-worker-env
   OCEANBASE_CLUSTER_NAME: ${OCEANBASE_CLUSTER_NAME:-difyai}
   OCEANBASE_MEMORY_LIMIT: ${OCEANBASE_MEMORY_LIMIT:-6G}
   CREATE_TIDB_SERVICE_JOB_ENABLED: ${CREATE_TIDB_SERVICE_JOB_ENABLED:-false}
+  MAX_SUBMIT_COUNT: ${MAX_SUBMIT_COUNT:-100}
   RETRIEVAL_TOP_N: ${RETRIEVAL_TOP_N:-0}
+  HTTP_PROXY: ${HTTP_PROXY:-}
+  HTTPS_PROXY: ${HTTPS_PROXY:-}
 
 services:
   # API service
   api:
-    image: langgenius/dify-api:0.13.2
+    image: langgenius/dify-api:0.14.0
     restart: always
     environment:
       # Use the shared environment variables.
@@ -312,7 +315,7 @@ services:
   # worker service
   # The Celery worker for processing the queue.
   worker:
-    image: langgenius/dify-api:0.13.2
+    image: langgenius/dify-api:0.14.0
     restart: always
     environment:
       # Use the shared environment variables.
@@ -331,7 +334,7 @@ services:
 
   # Frontend web application.
   web:
-    image: langgenius/dify-web:0.13.2
+    image: langgenius/dify-web:0.14.0
     restart: always
     environment:
       CONSOLE_API_URL: ${CONSOLE_API_URL:-}

web/app/components/base/app-icon/index.tsx

@@ -3,7 +3,6 @@
 import type { FC } from 'react'
 import { init } from 'emoji-mart'
 import data from '@emoji-mart/data'
-import Image from 'next/image'
 import { cva } from 'class-variance-authority'
 import type { AppIconType } from '@/types/app'
 import classNames from '@/utils/classnames'
@@ -62,7 +61,8 @@ const AppIcon: FC<AppIconProps> = ({
     onClick={onClick}
   >
     {isValidImageIcon
-      ? <Image src={imageUrl} className="w-full h-full" alt="app icon" />
+      // eslint-disable-next-line @next/next/no-img-element
+      ? <img src={imageUrl} className="w-full h-full" alt="app icon" />
       : (innerIcon || ((icon && icon !== '') ? <em-emoji id={icon} /> : <em-emoji id='🤖' />))
     }
   </span>

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

@@ -1,6 +1,6 @@
 import { RiCheckLine } from '@remixicon/react'
 import cn from '@/utils/classnames'
-import s from './index.module.css'
+
 
 type CheckboxProps = {
   checked?: boolean
@@ -10,14 +10,13 @@ type CheckboxProps = {
   mixed?: boolean
 }
 
-const Checkbox = ({ checked, onCheck, className, disabled, mixed }: CheckboxProps) => {
+const Checkbox = ({ checked, onCheck, className, disabled }: CheckboxProps) => {
   if (!checked) {
     return (
       <div
         className={cn(
           'w-4 h-4 rounded-[4px] bg-components-checkbox-bg-unchecked border border-components-checkbox-border hover:bg-components-checkbox-bg-unchecked-hover hover:border-components-checkbox-border-hover shadow-xs cursor-pointer',
           disabled && 'border-components-checkbox-border-disabled bg-components-checkbox-bg-disabled hover:border-components-checkbox-border-disabled hover:bg-components-checkbox-bg-disabled cursor-not-allowed',
-          mixed && s.mixed,
           className,
         )}
         onClick={() => {

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

@@ -51,7 +51,7 @@ export default function Drawer({
         <Dialog.Overlay
           className={cn('z-40 fixed inset-0', mask && 'bg-black bg-opacity-30')}
         />
-        <div className={cn('relative z-50 flex flex-col justify-between bg-components-panel-bg w-full max-w-sm p-6 overflow-hidden text-left align-middle shadow-xl shadow-shadow-shadow-5', panelClassname)}>
+        <div className={cn('relative z-50 flex flex-col justify-between bg-background-body w-full max-w-sm p-6 overflow-hidden text-left align-middle shadow-xl', panelClassname)}>
           <>
             {title && <Dialog.Title
               as="h3"

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

@@ -130,7 +130,7 @@ Toast.notify = ({
 
     root.render(
       <ToastContext.Provider value={{
-        notify: () => { },
+        notify: () => {},
         close: () => {
           if (holder) {
             root.unmount()

web/app/components/workflow/hooks/use-workflow-run.ts

@@ -192,6 +192,7 @@ export const useWorkflowRun = () => {
           const newNodes = produce(nodes, (draft) => {
             draft.forEach((node) => {
               node.data._waitingRun = true
+              node.data._runningBranchId = undefined
             })
           })
           setNodes(newNodes)

web/app/components/workflow/nodes/iteration/use-config.ts

@@ -52,6 +52,12 @@ const useConfig = (id: string, payload: IterationNodeType) => {
         [VarType.number]: VarType.arrayNumber,
         [VarType.object]: VarType.arrayObject,
         [VarType.file]: VarType.arrayFile,
+        // list operator node can output array
+        [VarType.array]: VarType.array,
+        [VarType.arrayFile]: VarType.arrayFile,
+        [VarType.arrayString]: VarType.arrayString,
+        [VarType.arrayNumber]: VarType.arrayNumber,
+        [VarType.arrayObject]: VarType.arrayObject,
       } as Record<VarType, VarType>)[outputItemType] || VarType.arrayString
     })
     setInputs(newInputs)

web/app/components/workflow/nodes/tool/components/input-var-list.tsx

@@ -61,20 +61,12 @@ const InputVarList: FC<Props> = ({
       const newValue = produce(value, (draft: ToolVarInputs) => {
         const target = draft[variable]
         if (target) {
-          if (!isSupportConstantValue || varKindType === VarKindType.variable) {
+          target.type = varKindType
-            if (isSupportConstantValue)
+          target.value = varValue
-              target.type = VarKindType.variable
-
-            target.value = varValue as ValueSelector
-          }
-          else {
-            target.type = VarKindType.constant
-            target.value = varValue as string
-          }
         }
         else {
           draft[variable] = {
-            type: VarKindType.variable,
+            type: varKindType,
             value: varValue,
           }
         }
@@ -173,7 +165,7 @@ const InputVarList: FC<Props> = ({
                   value={varInput?.type === VarKindType.constant ? (varInput?.value || '') : (varInput?.value || [])}
                   onChange={handleNotMixedTypeChange(variable)}
                   onOpen={handleOpen(index)}
-                  defaultVarKindType={isNumber ? VarKindType.constant : VarKindType.variable}
+                  defaultVarKindType={varInput?.type || (isNumber ? VarKindType.constant : VarKindType.variable)}
                   isSupportConstantValue={isSupportConstantValue}
                   filterVar={isNumber ? filterVar : undefined}
                   availableVars={isSelect ? availableVars : undefined}

web/app/components/workflow/nodes/tool/use-config.ts

@@ -132,7 +132,7 @@ const useConfig = (id: string, payload: ToolNodeType) => {
         draft.tool_parameters = {}
     })
     setInputs(inputsWithDefaultValue)
-  // eslint-disable-next-line react-hooks/exhaustive-deps
+    // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [currTool])
 
   // setting when call
@@ -214,8 +214,13 @@ const useConfig = (id: string, payload: ToolNodeType) => {
     .map(k => inputs.tool_parameters[k])
 
   const varInputs = getInputVars(hadVarParams.map((p) => {
-    if (p.type === VarType.variable)
+    if (p.type === VarType.variable) {
+      // handle the old wrong value not crash the page
+      if (!(p.value as any).join)
+        return `{{#${p.value}#}}`
+
       return `{{#${(p.value as ValueSelector).join('.')}#}}`
+    }
 
     return p.value as string
   }))

web/i18n/en-US/app.ts

@@ -125,7 +125,7 @@ const translation = {
   switchStart: 'Start switch',
   openInExplore: 'Open in Explore',
   typeSelector: {
-    all: 'All Types',
+    all: 'All Types ',
     chatbot: 'Chatbot',
     agent: 'Agent',
     workflow: 'Workflow',

web/i18n/tr-TR/app.ts

@@ -112,7 +112,7 @@ const translation = {
   removeOriginal: 'Orijinal uygulamayı sil',
   switchStart: 'Geçişi Başlat',
   typeSelector: {
-    all: 'ALL Types',
+    all: 'All Types',
     chatbot: 'Chatbot',
     agent: 'Agent',
     workflow: 'Workflow',

web/package.json

@@ -1,6 +1,6 @@
 {
   "name": "dify-web",
-  "version": "0.13.2",
+  "version": "0.14.0",
   "private": true,
   "engines": {
     "node": ">=18.17.0"