Revert "hide thinking process"

This reverts commit 31cea3cd61.

api/core/app/apps/base_app_generate_response_converter.py

@@ -1,6 +1,4 @@
-import json
 import logging
-import re
 from abc import ABC, abstractmethod
 from collections.abc import Generator, Mapping
 from typing import Any, Union
@@ -20,66 +18,7 @@ class AppGenerateResponseConverter(ABC):
         response: Union[AppBlockingResponse, Generator[AppStreamResponse, Any, None]],
         invoke_from: InvokeFrom,
     ) -> Mapping[str, Any] | Generator[str, None, None]:
-        if invoke_from == InvokeFrom.SERVICE_API:
+        if invoke_from in {InvokeFrom.DEBUGGER, InvokeFrom.SERVICE_API}:
-            if isinstance(response, AppBlockingResponse):
-                return cls.convert_blocking_full_response(response)
-            else:
-
-                def _generate_full_response() -> Generator[str, Any, None]:
-                    # Track if we're currently in a thinking process section
-                    is_thinking_process = False
-                    thinking_tag = "</thinking_process>"
-                    # Buffer to accumulate thinking process content
-                    thinking_buffer = ""
-
-                    for chunk in cls.convert_stream_full_response(response):
-
-                        if chunk == "ping":
-                            yield f"event: {chunk}\n\n"
-                            continue
-
-                        try:
-                            chunk_dict = json.loads(chunk)
-                        except json.JSONDecodeError:
-                            yield f"data: {chunk}\n\n"
-                            continue
-
-                        if (
-                            not is_thinking_process
-                            and "data" in chunk_dict
-                            and "inputs" in chunk_dict["data"]
-                            and chunk_dict["data"]["inputs"] is not None
-                            and "thinking_tag" in chunk_dict["data"]["inputs"]
-                        ):
-                            is_thinking_process = True
-                        elif not is_thinking_process:
-                            yield f"data: {chunk}\n\n"
-                            continue
-
-                        if not "answer" in chunk_dict:
-                            yield f"data: {chunk}\n\n"
-                            continue
-
-                        # extract message text from chunk
-                        message_text = chunk_dict["answer"]
-
-                        thinking_buffer += message_text
-
-                        if not thinking_tag in thinking_buffer:  # thinking process end, return as usual
-                            continue
-
-                        # remove <thinking_process> tags and its content
-                        remaining_buffer = thinking_buffer.split(thinking_tag, 1)[1].strip()
-                        thinking_tag = None
-                        is_thinking_process = False
-
-                        chunk_dict["answer"] = remaining_buffer
-                        chunk = json.dumps(chunk_dict)
-
-                        yield f"data: {chunk}\n\n"
-
-                return _generate_full_response()
-        elif invoke_from == InvokeFrom.DEBUGGER:
             if isinstance(response, AppBlockingResponse):
                 return cls.convert_blocking_full_response(response)
             else:
@@ -174,10 +113,8 @@ class AppGenerateResponseConverter(ABC):
             ProviderTokenNotInitError: {"code": "provider_not_initialize", "status": 400},
             QuotaExceededError: {
                 "code": "provider_quota_exceeded",
-                "message": (
+                "message": "Your quota for Dify Hosted Model Provider has been exhausted. "
-                    "Your quota for Dify Hosted Model Provider has been exhausted. "
+                "Please go to Settings -> Model Provider to complete your own provider credentials.",
-                    "Please go to Settings -> Model Provider to complete your own provider credentials."
-                ),
                 "status": 400,
             },
             ModelCurrentlyNotSupportError: {"code": "model_currently_not_support", "status": 400},