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Extract thinking/reasoning blocks (e.g. <think>...</think>) into a separate reasoning_content field on the assistant message, matching the convention used by DeepSeek, llama.cpp, and SGLang.
72 lines
2.7 KiB
Python
72 lines
2.7 KiB
Python
import html as html_module
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# Thinking block format definitions: (start_tag, end_tag, content_start_tag)
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# Use None for start_tag to match from beginning (end-only formats should be listed last)
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THINKING_FORMATS = [
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('<think>', '</think>', None),
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('<|channel|>analysis<|message|>', '<|end|>', '<|start|>assistant<|channel|>final<|message|>'),
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('<seed:think>', '</seed:think>', None),
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('<|think|>', '<|end|>', '<|content|>'), # Solar Open
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('Thinking Process:', '</think>', None), # Qwen3.5 verbose thinking outside tags
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(None, '</think>', None), # End-only variant (e.g., Qwen3-next)
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]
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def extract_reasoning(text, html_escaped=False):
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"""Extract reasoning/thinking blocks from the beginning of a string.
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When html_escaped=True, tags are HTML-escaped before searching
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(for use on already-escaped UI strings).
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Returns (reasoning_content, final_content) where reasoning_content is
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None if no thinking block is found.
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"""
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if not text:
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return None, text
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esc = html_module.escape if html_escaped else lambda s: s
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for start_tag, end_tag, content_tag in THINKING_FORMATS:
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end_esc = esc(end_tag)
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content_esc = esc(content_tag) if content_tag else None
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if start_tag is None:
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# End-only format: require end tag, start from beginning
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end_pos = text.find(end_esc)
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if end_pos == -1:
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continue
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thought_start = 0
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else:
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# Normal format: require start tag
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start_esc = esc(start_tag)
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start_pos = text.find(start_esc)
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if start_pos == -1:
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continue
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thought_start = start_pos + len(start_esc)
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end_pos = text.find(end_esc, thought_start)
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if end_pos == -1:
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# End tag missing - check if content tag can serve as fallback
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if content_esc:
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content_pos = text.find(content_esc, thought_start)
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if content_pos != -1:
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thought_end = content_pos
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content_start = content_pos + len(content_esc)
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else:
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thought_end = len(text)
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content_start = len(text)
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else:
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thought_end = len(text)
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content_start = len(text)
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else:
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thought_end = end_pos
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if content_esc:
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content_pos = text.find(content_esc, end_pos)
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content_start = content_pos + len(content_esc) if content_pos != -1 else end_pos + len(end_esc)
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else:
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content_start = end_pos + len(end_esc)
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return text[thought_start:thought_end], text[content_start:]
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return None, text
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