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fix(llm/nodes.py): Ensure that the output returns without any exceptions (#14880)
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@ -191,6 +191,22 @@ class LLMNode(BaseNode[LLMNodeData]):
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# deduct quota
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self.deduct_llm_quota(tenant_id=self.tenant_id, model_instance=model_instance, usage=usage)
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break
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outputs = {"text": result_text, "usage": jsonable_encoder(usage), "finish_reason": finish_reason}
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yield RunCompletedEvent(
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run_result=NodeRunResult(
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status=WorkflowNodeExecutionStatus.SUCCEEDED,
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inputs=node_inputs,
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process_data=process_data,
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outputs=outputs,
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metadata={
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NodeRunMetadataKey.TOTAL_TOKENS: usage.total_tokens,
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NodeRunMetadataKey.TOTAL_PRICE: usage.total_price,
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NodeRunMetadataKey.CURRENCY: usage.currency,
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},
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llm_usage=usage,
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)
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)
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except LLMNodeError as e:
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yield RunCompletedEvent(
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run_result=NodeRunResult(
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@ -211,23 +227,6 @@ class LLMNode(BaseNode[LLMNodeData]):
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)
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)
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outputs = {"text": result_text, "usage": jsonable_encoder(usage), "finish_reason": finish_reason}
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yield RunCompletedEvent(
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run_result=NodeRunResult(
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status=WorkflowNodeExecutionStatus.SUCCEEDED,
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inputs=node_inputs,
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process_data=process_data,
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outputs=outputs,
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metadata={
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NodeRunMetadataKey.TOTAL_TOKENS: usage.total_tokens,
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NodeRunMetadataKey.TOTAL_PRICE: usage.total_price,
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NodeRunMetadataKey.CURRENCY: usage.currency,
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},
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llm_usage=usage,
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)
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)
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def _invoke_llm(
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self,
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node_data_model: ModelConfig,
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