fix: normalize Gemma 4 thought-channel output (#2224)

This commit is contained in:
RaresKeY
2026-06-04 20:26:58 +03:00
committed by GitHub
parent 7ce6ec7f50
commit c12c2aa233
7 changed files with 249 additions and 41 deletions

View File

@@ -15,18 +15,33 @@ from __future__ import annotations
import re
_THINK_TAG_NAME = r"(?:think(?:ing)?|thought)"
# Closed reasoning blocks. Multi-pass loop in `strip_think` handles nested
# `<think><think>...</think></think>` patterns some models emit.
_THINK_CLOSED_RE = re.compile(r"<think(?:ing)?>[\s\S]*?</think(?:ing)?>\s*", re.IGNORECASE)
_THINK_CLOSED_RE = re.compile(rf"<{_THINK_TAG_NAME}(?:\s+[^>]*)?>[\s\S]*?</{_THINK_TAG_NAME}>\s*", re.IGNORECASE)
# Orphan opening or closing tags that survive after the closed-pass.
_THINK_TAG_RE = re.compile(r"</?think(?:ing)?[^>]*>\s*", re.IGNORECASE)
_THINK_TAG_RE = re.compile(rf"</?{_THINK_TAG_NAME}[^>]*>\s*", re.IGNORECASE)
# Dangling opener anywhere in the response with no closer — strip everything
# from `<think>` to the end of string.
_THINK_OPEN_RE = re.compile(r"<think(?:ing)?>[\s\S]*$", re.IGNORECASE)
_THINK_OPEN_RE = re.compile(rf"<{_THINK_TAG_NAME}(?:\s+[^>]*)?>[\s\S]*$", re.IGNORECASE)
# Streaming models occasionally emit `<thinking time="0.42">`-style attributes.
# Normalize to a plain `<think>` so the regexes above catch them.
_THINK_ATTR_RE = re.compile(r"<think(?:ing)?\s+[^>]*>", re.IGNORECASE)
_THINK_ATTR_CLOSE_RE = re.compile(r"</think(?:ing)?\s+[^>]*>", re.IGNORECASE)
_THINK_ATTR_RE = re.compile(rf"<{_THINK_TAG_NAME}\s+[^>]*>", re.IGNORECASE)
_THINK_ATTR_CLOSE_RE = re.compile(rf"</{_THINK_TAG_NAME}\s+[^>]*>", re.IGNORECASE)
_GEMMA_THOUGHT_OPEN_RE = re.compile(r"<\|channel>thought\s*\n?[\s\S]*$", re.IGNORECASE)
_GEMMA_RESPONSE_CHANNEL_RE = re.compile(
r"<\|channel>response\s*\n?([\s\S]*?)<channel\|>",
re.IGNORECASE,
)
_GEMMA_RESPONSE_OPEN_RE = re.compile(r"<\|channel>response\s*\n?", re.IGNORECASE)
_GEMMA_CHANNEL_CLOSE_RE = re.compile(r"<channel\|>", re.IGNORECASE)
_THOUGHT_TAG_OPEN_RE = re.compile(r"<thought(\s+[^>]*)?>", re.IGNORECASE)
_THOUGHT_TAG_CLOSE_RE = re.compile(r"</thought>", re.IGNORECASE)
_GEMMA_THOUGHT_CHANNEL_CAPTURE_RE = re.compile(
r"<\|channel>thought\s*\n?([\s\S]*?)<channel\|>\s*",
re.IGNORECASE,
)
# Qwen and a few other models prefix the response with a "Thinking Process:"
# block before the real answer.
_QWEN_THINKING_RE = re.compile(
@@ -78,6 +93,30 @@ def _strip_reasoning_prose(text: str) -> str:
return "\n\n".join(keep).strip() if keep else text
def normalize_thinking_markup(text: str) -> str:
"""Canonicalize supported thinking wrappers to `<think>` markup.
The chat UI and persistence layer already understand `<think>...</think>`.
Gemma 4 may instead emit `<|channel>thought\n...<channel|>`, and some
gateways/models emit `<thought>...</thought>`. Normalize those shapes into
the existing representation and strip empty thought channels.
"""
if not text:
return text
out = _THOUGHT_TAG_OPEN_RE.sub(lambda m: "<think" + (m.group(1) or "") + ">", text)
out = _THOUGHT_TAG_CLOSE_RE.sub("</think>", out)
def _replace_gemma_thought(match: re.Match) -> str:
thought = match.group(1).strip()
return f"<think>{thought}</think>\n" if thought else ""
out = _GEMMA_THOUGHT_CHANNEL_CAPTURE_RE.sub(_replace_gemma_thought, out)
out = _GEMMA_RESPONSE_CHANNEL_RE.sub(lambda m: m.group(1), out)
out = _GEMMA_RESPONSE_OPEN_RE.sub("", out)
out = _GEMMA_CHANNEL_CLOSE_RE.sub("", out)
return out
def strip_think(text: str, *, prose: bool = False, prompt_echo: bool = True) -> str:
"""Strip `<think>` blocks from model output.
@@ -92,13 +131,21 @@ def strip_think(text: str, *, prose: bool = False, prompt_echo: bool = True) ->
"The user asks:" / "We need to" leaked prompt echoes.
Robust to:
* closed `<think>...</think>` (any depth, both `<think>` and `<thinking>`)
* dangling unclosed `<think>...`
* closed `<think>...</think>` (any depth, plus `<thinking>`/`<thought>`)
* dangling unclosed `<think>...` / `<thought>...`
* stray opener/closer tags
* `<think time="0.42">`-style attributes
* Gemma 4 `<|channel>thought...<channel|>` wrappers
"""
if not text:
return ""
# Gemma 4 thinking-capable models use channel control tokens rather than
# XML tags when the runtime does not split reasoning into a separate field.
# The thought channel can be empty in non-thinking mode; either way it is
# not user-facing content. A response channel, when present, is only a
# wrapper around the final answer.
text = normalize_thinking_markup(text)
text = _GEMMA_THOUGHT_OPEN_RE.sub("", text)
# Normalize attributes so the closed/open regexes can catch them.
text = _THINK_ATTR_RE.sub("<think>", text)
text = _THINK_ATTR_CLOSE_RE.sub("</think>", text)