feat: Run AWEL flow in CLI (#1341)

dbgpt/core/interface/llm.py

@@ -161,6 +161,7 @@ class ModelOutput:
     error_code: int
     """The error code of the model inference. If the model inference is successful,
     the error code is 0."""
+    incremental: bool = False
     model_context: Optional[Dict] = None
     finish_reason: Optional[str] = None
     usage: Optional[Dict[str, Any]] = None
@@ -171,6 +172,11 @@ class ModelOutput:
         """Convert the model output to dict."""
         return asdict(self)
 
+    @property
+    def success(self) -> bool:
+        """Check if the model inference is successful."""
+        return self.error_code == 0
+
 
 _ModelMessageType = Union[List[ModelMessage], List[Dict[str, Any]]]
 

dbgpt/core/interface/operators/llm_operator.py

@@ -470,6 +470,8 @@ class CommonStreamingOutputOperator(TransformStreamAbsOperator[ModelOutput, str]
     Transform model output to the string output to show in DB-GPT chat flow page.
     """
 
+    output_format = "SSE"
+
     metadata = ViewMetadata(
         label=_("Common Streaming Output Operator"),
         name="common_streaming_output_operator",
@@ -510,8 +512,8 @@ class CommonStreamingOutputOperator(TransformStreamAbsOperator[ModelOutput, str]
                 yield f"data:{error_msg}"
                 return
             decoded_unicode = model_output.text.replace("\ufffd", "")
-            msg = decoded_unicode.replace("\n", "\\n")
-            yield f"data:{msg}\n\n"
+            # msg = decoded_unicode.replace("\n", "\\n")
+            yield f"data:{decoded_unicode}\n\n"
 
 
 class StringOutput2ModelOutputOperator(MapOperator[str, ModelOutput]):