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0a33ddd
1
Parent(s):
04c79ee
bug fixes
Browse files- app/api_helpers.py +84 -28
- app/openai_handler.py +49 -21
app/api_helpers.py
CHANGED
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@@ -34,6 +34,7 @@ class StreamingReasoningProcessor:
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self.tag_buffer = ""
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self.inside_tag = False
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self.reasoning_buffer = ""
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def process_chunk(self, content: str) -> tuple[str, str]:
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"""
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@@ -45,9 +46,14 @@ class StreamingReasoningProcessor:
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Returns:
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A tuple of:
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- processed_content: Content with reasoning tags removed
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- current_reasoning:
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"""
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# Add new content to buffer
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self.tag_buffer += content
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processed_content = ""
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@@ -58,12 +64,27 @@ class StreamingReasoningProcessor:
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# Look for opening tag
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open_pos = self.tag_buffer.find(self.open_tag)
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if open_pos == -1:
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# No opening tag found
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if
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break
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else:
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# Found opening tag
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@@ -74,18 +95,40 @@ class StreamingReasoningProcessor:
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# Inside tag, look for closing tag
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close_pos = self.tag_buffer.find(self.close_tag)
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if close_pos == -1:
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# No closing tag yet
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self.
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break
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else:
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# Found closing tag
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-
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-
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self.tag_buffer = self.tag_buffer[close_pos + len(self.close_tag):]
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self.inside_tag = False
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@@ -103,17 +146,30 @@ class StreamingReasoningProcessor:
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remaining_content = ""
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remaining_reasoning = ""
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-
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#
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remaining_content
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self.
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#
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self.inside_tag = False
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return remaining_content, remaining_reasoning
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self.tag_buffer = ""
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self.inside_tag = False
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self.reasoning_buffer = ""
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self.partial_tag_buffer = "" # Buffer for potential partial tags
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def process_chunk(self, content: str) -> tuple[str, str]:
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"""
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Returns:
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A tuple of:
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- processed_content: Content with reasoning tags removed
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- current_reasoning: Reasoning text found in this chunk (partial or complete)
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"""
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# Add new content to buffer, but also handle any partial tag from before
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if self.partial_tag_buffer:
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# We had a partial tag from the previous chunk
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content = self.partial_tag_buffer + content
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self.partial_tag_buffer = ""
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self.tag_buffer += content
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processed_content = ""
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# Look for opening tag
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open_pos = self.tag_buffer.find(self.open_tag)
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if open_pos == -1:
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# No complete opening tag found
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# Check if we might have a partial tag at the end
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partial_match = False
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for i in range(1, min(len(self.open_tag), len(self.tag_buffer) + 1)):
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if self.tag_buffer[-i:] == self.open_tag[:i]:
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partial_match = True
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# Output everything except the potential partial tag
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if len(self.tag_buffer) > i:
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processed_content += self.tag_buffer[:-i]
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self.partial_tag_buffer = self.tag_buffer[-i:]
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self.tag_buffer = ""
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else:
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# Entire buffer is partial tag
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self.partial_tag_buffer = self.tag_buffer
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self.tag_buffer = ""
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break
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if not partial_match:
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# No partial tag, output everything
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processed_content += self.tag_buffer
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self.tag_buffer = ""
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break
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else:
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# Found opening tag
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# Inside tag, look for closing tag
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close_pos = self.tag_buffer.find(self.close_tag)
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if close_pos == -1:
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# No complete closing tag yet
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# Check for partial closing tag
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partial_match = False
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for i in range(1, min(len(self.close_tag), len(self.tag_buffer) + 1)):
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if self.tag_buffer[-i:] == self.close_tag[:i]:
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partial_match = True
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# Add everything except potential partial tag to reasoning
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if len(self.tag_buffer) > i:
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new_reasoning = self.tag_buffer[:-i]
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self.reasoning_buffer += new_reasoning
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if new_reasoning: # Stream reasoning as it arrives
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current_reasoning = new_reasoning
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self.partial_tag_buffer = self.tag_buffer[-i:]
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self.tag_buffer = ""
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else:
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# Entire buffer is partial tag
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self.partial_tag_buffer = self.tag_buffer
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self.tag_buffer = ""
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break
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if not partial_match:
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# No partial tag, add all to reasoning and stream it
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if self.tag_buffer:
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self.reasoning_buffer += self.tag_buffer
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current_reasoning = self.tag_buffer
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self.tag_buffer = ""
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break
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else:
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# Found closing tag
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final_reasoning_chunk = self.tag_buffer[:close_pos]
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self.reasoning_buffer += final_reasoning_chunk
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if final_reasoning_chunk: # Include the last chunk of reasoning
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current_reasoning = final_reasoning_chunk
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self.reasoning_buffer = "" # Clear buffer after complete tag
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self.tag_buffer = self.tag_buffer[close_pos + len(self.close_tag):]
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self.inside_tag = False
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remaining_content = ""
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remaining_reasoning = ""
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# First handle any partial tag buffer
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if self.partial_tag_buffer:
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# The partial tag wasn't completed, so treat it as regular content
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remaining_content += self.partial_tag_buffer
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self.partial_tag_buffer = ""
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if not self.inside_tag:
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# If we're not inside a tag, output any remaining buffer
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if self.tag_buffer:
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remaining_content += self.tag_buffer
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self.tag_buffer = ""
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else:
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# If we're inside a tag when stream ends, we have incomplete reasoning
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# First, yield any reasoning we've accumulated
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if self.reasoning_buffer:
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remaining_reasoning = self.reasoning_buffer
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self.reasoning_buffer = ""
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# Then output the remaining buffer as content (it's an incomplete tag)
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if self.tag_buffer:
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# Don't include the opening tag in output - just the buffer content
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remaining_content += self.tag_buffer
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self.tag_buffer = ""
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self.inside_tag = False
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return remaining_content, remaining_reasoning
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app/openai_handler.py
CHANGED
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@@ -121,6 +121,7 @@ class OpenAIDirectHandler:
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# Create processor for tag-based extraction across chunks
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reasoning_processor = StreamingReasoningProcessor(VERTEX_REASONING_TAG)
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chunk_count = 0
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async for chunk in stream_response:
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chunk_count += 1
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if processed_content or current_reasoning:
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print(f"DEBUG: Chunk {chunk_count} - Processed content: '{processed_content}', Reasoning: '{current_reasoning[:50]}...' if len(current_reasoning) > 50 else '{current_reasoning}'")
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-
#
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if current_reasoning:
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-
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if processed_content:
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-
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except Exception as chunk_error:
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error_msg = f"Error processing OpenAI chunk for {request.model}: {str(chunk_error)}"
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print(f"ERROR: {error_msg}")
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if len(error_msg) > 1024:
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error_msg = error_msg[:1024] + "..."
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error_response = create_openai_error_response(500, error_msg, "server_error")
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yield f"data: {json.dumps(error_response)}\n\n"
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@@ -173,35 +190,46 @@ class OpenAIDirectHandler:
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# Flush any remaining buffered content
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remaining_content, remaining_reasoning = reasoning_processor.flush_remaining()
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-
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-
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"id": f"chatcmpl-{int(time.time())}",
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"object": "chat.completion.chunk",
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"created": int(time.time()),
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"model": request.model,
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"choices": [{"index": 0, "delta": {"
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}
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yield f"data: {json.dumps(
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"id": f"chatcmpl-{int(time.time())}",
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"object": "chat.completion.chunk",
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"created": int(time.time()),
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"model": request.model,
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"choices": [{"index": 0, "delta": {}, "finish_reason":
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}
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yield f"data: {json.dumps(
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#
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yield "data: [DONE]\n\n"
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except Exception as stream_error:
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error_msg = str(stream_error)
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if len(error_msg) > 1024:
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error_msg = error_msg[:1024] + "..."
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error_msg_full = f"Error during OpenAI streaming for {request.model}: {error_msg}"
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print(f"ERROR: {error_msg_full}")
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# Create processor for tag-based extraction across chunks
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reasoning_processor = StreamingReasoningProcessor(VERTEX_REASONING_TAG)
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chunk_count = 0
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has_sent_content = False
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async for chunk in stream_response:
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chunk_count += 1
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if processed_content or current_reasoning:
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print(f"DEBUG: Chunk {chunk_count} - Processed content: '{processed_content}', Reasoning: '{current_reasoning[:50]}...' if len(current_reasoning) > 50 else '{current_reasoning}'")
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# Send chunks for both reasoning and content as they arrive
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chunks_to_send = []
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# If we have reasoning content, send it
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if current_reasoning:
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reasoning_chunk = chunk_as_dict.copy()
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reasoning_chunk['choices'][0]['delta'] = {'reasoning_content': current_reasoning}
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chunks_to_send.append(reasoning_chunk)
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# If we have regular content, send it
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if processed_content:
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content_chunk = chunk_as_dict.copy()
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content_chunk['choices'][0]['delta'] = {'content': processed_content}
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chunks_to_send.append(content_chunk)
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has_sent_content = True
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# Send all chunks
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for chunk_to_send in chunks_to_send:
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yield f"data: {json.dumps(chunk_to_send)}\n\n"
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else:
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# Still yield the chunk even if no content (could have other delta fields)
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yield f"data: {json.dumps(chunk_as_dict)}\n\n"
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else:
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# Yield chunks without choices too (they might contain metadata)
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yield f"data: {json.dumps(chunk_as_dict)}\n\n"
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except Exception as chunk_error:
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error_msg = f"Error processing OpenAI chunk for {request.model}: {str(chunk_error)}"
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print(f"ERROR: {error_msg}")
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if len(error_msg) > 1024:
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error_msg = error_msg[:1024] + "..."
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error_response = create_openai_error_response(500, error_msg, "server_error")
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yield f"data: {json.dumps(error_response)}\n\n"
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# Flush any remaining buffered content
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remaining_content, remaining_reasoning = reasoning_processor.flush_remaining()
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# Send any remaining reasoning first
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if remaining_reasoning:
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print(f"DEBUG: Flushing remaining reasoning: '{remaining_reasoning[:50]}...' if len(remaining_reasoning) > 50 else '{remaining_reasoning}'")
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reasoning_chunk = {
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"id": f"chatcmpl-{int(time.time())}",
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"object": "chat.completion.chunk",
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"created": int(time.time()),
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"model": request.model,
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"choices": [{"index": 0, "delta": {"reasoning_content": remaining_reasoning}, "finish_reason": None}]
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}
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yield f"data: {json.dumps(reasoning_chunk)}\n\n"
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# Send any remaining content
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if remaining_content:
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print(f"DEBUG: Flushing remaining content: '{remaining_content}'")
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final_chunk = {
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"id": f"chatcmpl-{int(time.time())}",
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"object": "chat.completion.chunk",
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"created": int(time.time()),
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"model": request.model,
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"choices": [{"index": 0, "delta": {"content": remaining_content}, "finish_reason": None}]
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}
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yield f"data: {json.dumps(final_chunk)}\n\n"
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has_sent_content = True
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# Always send a finish reason chunk
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finish_chunk = {
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"id": f"chatcmpl-{int(time.time())}",
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"object": "chat.completion.chunk",
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"created": int(time.time()),
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"model": request.model,
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"choices": [{"index": 0, "delta": {}, "finish_reason": "stop"}]
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}
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yield f"data: {json.dumps(finish_chunk)}\n\n"
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yield "data: [DONE]\n\n"
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except Exception as stream_error:
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error_msg = str(stream_error)
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if len(error_msg) > 1024:
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error_msg = error_msg[:1024] + "..."
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error_msg_full = f"Error during OpenAI streaming for {request.model}: {error_msg}"
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print(f"ERROR: {error_msg_full}")
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