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Upload proxy_handler.py
Browse files- proxy_handler.py +45 -37
proxy_handler.py
CHANGED
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@@ -34,14 +34,14 @@ class ProxyHandler:
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"""
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if not text:
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return ""
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# Remove tool call blocks
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cleaned_text = re.sub(r'<glm_block.*?</glm_block>', '', text, flags=re.DOTALL)
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# Remove all other HTML-like tags
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cleaned_text = re.sub(r'<[^>]+>', '', cleaned_text)
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# Remove specific metadata patterns
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cleaned_text = re.sub(r'true" duration="\d+">\s*Thought for \d+ seconds', '', cleaned_text)
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# Remove
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# Remove "Thinking..." headers
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cleaned_text = cleaned_text.replace("Thinking…", "")
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# Final strip to clean up residual whitespace
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@@ -56,7 +56,7 @@ class ProxyHandler:
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return ""
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# Remove only tool call blocks
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cleaned_text = re.sub(r'<glm_block.*?</glm_block>', '', text, flags=re.DOTALL)
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return cleaned_text
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def _serialize_msgs(self, msgs) -> list:
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"""Converts message objects to a list of dictionaries."""
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@@ -81,39 +81,43 @@ class ProxyHandler:
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ck = None
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try:
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body, headers, ck = await self._prep_upstream(req)
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comp_id = f"chatcmpl-{uuid.uuid4().hex[:29]}"
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async def yield_content(content_type: str, text: str):
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nonlocal think_open
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# Apply cleaning based on content type
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cleaned_text = ""
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if content_type == "thinking":
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cleaned_text = self._clean_thinking_content(text)
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elif content_type == "answer":
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# Use the non-stripping cleaner for stream chunks
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cleaned_text = self._clean_answer_content(text)
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if not cleaned_text and not (content_type == "answer" and text):
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# For answer, even if cleaning results in empty (e.g. only a glm_block),
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# the original might have been just whitespace, so we allow it to pass if text was present.
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# This logic is now simpler: if there's no text, don't yield.
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if not text: return
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if content_type == "thinking" and settings.SHOW_THINK_TAGS:
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if not think_open:
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yield f"data: {json.dumps({'id': comp_id, 'object': 'chat.completion.chunk', 'created': int(time.time()), 'model': req.model, 'choices': [{'index': 0, 'delta': {'content': '<think>'}, 'finish_reason': None}]})}\n\n"
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think_open = True
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elif content_type == "answer":
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if think_open:
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yield f"data: {json.dumps({'id': comp_id, 'object': 'chat.completion.chunk', 'created': int(time.time()), 'model': req.model, 'choices': [{'index': 0, 'delta': {'content': '</think>'}, 'finish_reason': None}]})}\n\n"
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think_open = False
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async with self.client.stream("POST", settings.UPSTREAM_URL, json=body, headers=headers) as resp:
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if resp.status_code != 200:
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@@ -140,16 +144,17 @@ class ProxyHandler:
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if new_phase: phase_cur = new_phase
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if not phase_cur: continue
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-
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if not content: continue
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match = re.search(r'(.*</details>)(.*)', content, flags=re.DOTALL)
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if match:
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thinking_part, answer_part = match.groups()
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else:
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except Exception:
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logger.exception("Stream error"); raise
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@@ -157,7 +162,10 @@ class ProxyHandler:
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ck = None
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try:
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body, headers, ck = await self._prep_upstream(req)
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async with self.client.stream("POST", settings.UPSTREAM_URL, json=body, headers=headers) as resp:
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if resp.status_code != 200:
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await cookie_manager.mark_cookie_failed(ck); error_detail = await resp.text()
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@@ -179,17 +187,17 @@ class ProxyHandler:
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if new_phase: phase_cur = new_phase
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if not phase_cur: continue
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content = dat.get("
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if not content: continue
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match = re.search(r'(.*</details>)(.*)', content, flags=re.DOTALL)
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if match:
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thinking_part, answer_part = match.groups()
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raw_answer_parts.append(answer_part)
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else:
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if phase_cur == "thinking":
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-
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elif phase_cur == "answer":
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raw_answer_parts.append(content)
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else: continue
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@@ -197,12 +205,12 @@ class ProxyHandler:
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# Clean the joined answer text, then strip the final result.
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full_answer = ''.join(raw_answer_parts)
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cleaned_ans_text = self._clean_answer_content(full_answer).strip()
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final_content = cleaned_ans_text
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if settings.SHOW_THINK_TAGS and
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# Aggressively clean the thinking
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cleaned_think_text = self._clean_thinking_content(
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if cleaned_think_text:
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final_content = f"<think>{cleaned_think_text}</think>{cleaned_ans_text}"
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"""
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if not text:
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return ""
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# Remove tool call blocks
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cleaned_text = re.sub(r'<glm_block.*?</glm_block>', '', text, flags=re.DOTALL)
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# Remove all other HTML-like tags
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cleaned_text = re.sub(r'<[^>]+>', '', cleaned_text)
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# Remove specific metadata patterns
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cleaned_text = re.sub(r'true" duration="\d+">\s*Thought for \d+ seconds', '', cleaned_text)
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# FIX: Remove only first-level markdown quotes, preserving sub-quotes like '>>'
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cleaned_text = re.sub(r'^\s*>\s*(?!>)', '', cleaned_text, flags=re.MULTILINE)
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# Remove "Thinking..." headers
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cleaned_text = cleaned_text.replace("Thinking…", "")
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# Final strip to clean up residual whitespace
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return ""
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# Remove only tool call blocks
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cleaned_text = re.sub(r'<glm_block.*?</glm_block>', '', text, flags=re.DOTALL)
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return cleaned_text
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def _serialize_msgs(self, msgs) -> list:
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"""Converts message objects to a list of dictionaries."""
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ck = None
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try:
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body, headers, ck = await self._prep_upstream(req)
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comp_id = f"chatcmpl-{uuid.uuid4().hex[:29]}"
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think_open = False
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phase_cur = None
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# FIX: Buffer to track streamed thinking content and prevent duplication.
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streamed_think_buffer = ""
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async def yield_content(content_type: str, text: str):
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nonlocal think_open, streamed_think_buffer
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if not text: return
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if content_type == "thinking" and settings.SHOW_THINK_TAGS:
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if not think_open:
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yield f"data: {json.dumps({'id': comp_id, 'object': 'chat.completion.chunk', 'created': int(time.time()), 'model': req.model, 'choices': [{'index': 0, 'delta': {'content': '<think>'}, 'finish_reason': None}]})}\n\n"
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think_open = True
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# Clean the full incoming text first.
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cleaned_full_text = self._clean_thinking_content(text)
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# Send only the new part of the content.
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if cleaned_full_text.startswith(streamed_think_buffer):
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delta_to_send = cleaned_full_text[len(streamed_think_buffer):]
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if delta_to_send:
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yield f"data: {json.dumps({'id': comp_id, 'object': 'chat.completion.chunk', 'created': int(time.time()), 'model': req.model, 'choices': [{'index': 0, 'delta': {'content': delta_to_send}, 'finish_reason': None}]})}\n\n"
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else: # If content radically changes, send the whole new content.
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yield f"data: {json.dumps({'id': comp_id, 'object': 'chat.completion.chunk', 'created': int(time.time()), 'model': req.model, 'choices': [{'index': 0, 'delta': {'content': cleaned_full_text}, 'finish_reason': None}]})}\n\n"
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# Update the buffer with the latest full content.
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streamed_think_buffer = cleaned_full_text
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elif content_type == "answer":
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if think_open:
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yield f"data: {json.dumps({'id': comp_id, 'object': 'chat.completion.chunk', 'created': int(time.time()), 'model': req.model, 'choices': [{'index': 0, 'delta': {'content': '</think>'}, 'finish_reason': None}]})}\n\n"
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think_open = False
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cleaned_text = self._clean_answer_content(text)
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if cleaned_text:
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yield f"data: {json.dumps({'id': comp_id, 'object': 'chat.completion.chunk', 'created': int(time.time()), 'model': req.model, 'choices': [{'index': 0, 'delta': {'content': cleaned_text}, 'finish_reason': None}]})}\n\n"
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async with self.client.stream("POST", settings.UPSTREAM_URL, json=body, headers=headers) as resp:
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if resp.status_code != 200:
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if new_phase: phase_cur = new_phase
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if not phase_cur: continue
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# Use edit_content first as it's the complete version, fallback to delta.
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content = dat.get("edit_content") or dat.get("delta_content")
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if not content: continue
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match = re.search(r'(.*</details>)(.*)', content, flags=re.DOTALL)
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if match:
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thinking_part, answer_part = match.groups()
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await yield_content("thinking", thinking_part)
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await yield_content("answer", answer_part)
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else:
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await yield_content(phase_cur, content)
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except Exception:
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logger.exception("Stream error"); raise
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ck = None
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try:
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body, headers, ck = await self._prep_upstream(req)
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# FIX: Use single variables to store the latest content, preventing duplication.
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last_thinking_content = ""
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raw_answer_parts = []
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phase_cur = None
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async with self.client.stream("POST", settings.UPSTREAM_URL, json=body, headers=headers) as resp:
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if resp.status_code != 200:
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await cookie_manager.mark_cookie_failed(ck); error_detail = await resp.text()
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if new_phase: phase_cur = new_phase
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if not phase_cur: continue
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content = dat.get("edit_content") or dat.get("delta_content")
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if not content: continue
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match = re.search(r'(.*</details>)(.*)', content, flags=re.DOTALL)
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if match:
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thinking_part, answer_part = match.groups()
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last_thinking_content = thinking_part
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raw_answer_parts.append(answer_part)
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else:
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if phase_cur == "thinking":
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last_thinking_content = content # Overwrite with the latest
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elif phase_cur == "answer":
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raw_answer_parts.append(content)
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else: continue
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# Clean the joined answer text, then strip the final result.
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full_answer = ''.join(raw_answer_parts)
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cleaned_ans_text = self._clean_answer_content(full_answer).strip()
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final_content = cleaned_ans_text
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if settings.SHOW_THINK_TAGS and last_thinking_content:
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# Aggressively clean the final thinking content.
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cleaned_think_text = self._clean_thinking_content(last_thinking_content)
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if cleaned_think_text:
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final_content = f"<think>{cleaned_think_text}</think>{cleaned_ans_text}"
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