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src/langbot/pkg/workflow/nodes/call_pipeline.py

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+"""Call Pipeline Node - invoke an existing pipeline
+
+Node metadata is loaded from: ../../templates/metadata/nodes/call_pipeline.yaml
+"""
+
+from __future__ import annotations
+
+from typing import Any, ClassVar
+
+from ..entities import ExecutionContext
+from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig
+
+
+@workflow_node('call_pipeline')
+class CallPipelineNode(WorkflowNode):
+    """Call pipeline node - invoke an existing pipeline"""
+
+    type_name = "call_pipeline"
+    category = "action"
+    icon = "⚙️"
+    name = "call_pipeline"
+    description = "call_pipeline"
+    name_zh = "调用 Pipeline"
+    name_en = "Call Pipeline"
+    description_zh = "调用现有的 Pipeline 进行处理"
+    description_en = "Invoke an existing Pipeline for processing"
+
+    inputs: ClassVar[list[NodePort]] = []
+    outputs: ClassVar[list[NodePort]] = []
+    config_schema: ClassVar[list[NodeConfig]] = []
+
+    async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]:
+        query = inputs.get("query", "")
+        pipeline_uuid = self.get_config("pipeline_uuid", "")
+
+        return {"response": f"[Pipeline {pipeline_uuid} response for: {query[:50]}...]", "result": {}}