feat: Human Input Node (#32060)

The frontend and backend implementation for the human input node.

Co-authored-by: twwu <twwu@dify.ai>
Co-authored-by: JzoNg <jzongcode@gmail.com>
Co-authored-by: yyh <92089059+lyzno1@users.noreply.github.com>
Co-authored-by: zhsama <torvalds@linux.do>

api/core/tools/errors.py

@@ -1,4 +1,5 @@
 from core.tools.entities.tool_entities import ToolInvokeMeta
+from libs.exception import BaseHTTPException
 
 
 class ToolProviderNotFoundError(ValueError):
@@ -37,6 +38,12 @@ class ToolCredentialPolicyViolationError(ValueError):
     pass
 
 
+class WorkflowToolHumanInputNotSupportedError(BaseHTTPException):
+    error_code = "workflow_tool_human_input_not_supported"
+    description = "Workflow with Human Input nodes cannot be published as a workflow tool."
+    code = 400
+
+
 class ToolEngineInvokeError(Exception):
     meta: ToolInvokeMeta
 

api/core/tools/utils/workflow_configuration_sync.py

@@ -3,6 +3,8 @@ from typing import Any
 
 from core.app.app_config.entities import VariableEntity
 from core.tools.entities.tool_entities import WorkflowToolParameterConfiguration
+from core.tools.errors import WorkflowToolHumanInputNotSupportedError
+from core.workflow.enums import NodeType
 from core.workflow.nodes.base.entities import OutputVariableEntity
 
 
@@ -45,6 +47,13 @@ class WorkflowToolConfigurationUtils:
 
         return [outputs_by_variable[variable] for variable in variable_order]
 
+    @classmethod
+    def ensure_no_human_input_nodes(cls, graph: Mapping[str, Any]) -> None:
+        nodes = graph.get("nodes", [])
+        for node in nodes:
+            if node.get("data", {}).get("type") == NodeType.HUMAN_INPUT:
+                raise WorkflowToolHumanInputNotSupportedError()
+
     @classmethod
     def check_is_synced(
         cls, variables: list[VariableEntity], tool_configurations: list[WorkflowToolParameterConfiguration]

api/core/tools/workflow_as_tool/tool.py

@@ -98,6 +98,10 @@ class WorkflowTool(Tool):
             invoke_from=self.runtime.invoke_from,
             streaming=False,
             call_depth=self.workflow_call_depth + 1,
+            # NOTE(QuantumGhost): We explicitly set `pause_state_config` to `None`
+            # because workflow pausing mechanisms (such as HumanInput) are not
+            # supported within WorkflowTool execution context.
+            pause_state_config=None,
         )
         assert isinstance(result, dict)
         data = result.get("data", {})