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feat: enterprise OTEL telemetry exporter (squash merge from feat/otel-telemetry-ee)
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@ -1,11 +1,9 @@
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from .agent import AgentNodeStrategyInit
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from .graph_init_params import GraphInitParams
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from .workflow_execution import WorkflowExecution
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from .workflow_node_execution import WorkflowNodeExecution
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from .workflow_start_reason import WorkflowStartReason
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__all__ = [
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"AgentNodeStrategyInit",
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"GraphInitParams",
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"WorkflowExecution",
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"WorkflowNodeExecution",
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@ -1,8 +0,0 @@
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from pydantic import BaseModel
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class AgentNodeStrategyInit(BaseModel):
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"""Agent node strategy initialization data."""
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name: str
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icon: str | None = None
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@ -121,6 +121,8 @@ class DefaultValue(BaseModel):
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class BaseNodeData(ABC, BaseModel):
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# Raw graph payloads are first validated through `NodeConfigDictAdapter`, where
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# `node["data"]` is typed as `BaseNodeData` before the concrete node class is known.
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# `type` therefore accepts downstream string node kinds; unknown node implementations
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# are rejected later when the node factory resolves the node registry.
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# At that boundary, node-specific fields are still "extra" relative to this shared DTO,
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# and persisted templates/workflows also carry undeclared compatibility keys such as
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# `selected`, `params`, `paramSchemas`, and `datasource_label`. Keep extras permissive
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@ -48,7 +48,7 @@ class WorkflowNodeExecution(BaseModel):
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index: int # Sequence number for ordering in trace visualization
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predecessor_node_id: str | None = None # ID of the node that executed before this one
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node_id: str # ID of the node being executed
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node_type: NodeType # Type of node (e.g., start, llm, knowledge)
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node_type: NodeType # Type of node (e.g., start, llm, downstream response node)
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title: str # Display title of the node
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# Execution data
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