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odysseus/src/text_helpers.py
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nopoz c098355778 fix(security): prevent ReDoS in LLM-output tool/think parsers (#4704)
* fix(security): prevent ReDoS in LLM-output tool/think parsers

The regexes that parse untrusted model output in text_helpers.py and
tool_parsing.py are delimiter-bounded with a lazy [\s\S]*? (or an
ambiguous (\s+[^>]*)?). Applied with re.sub/re.finditer over a whole
response, they degrade to O(n^2) when the closing delimiter is absent:
the engine rescans to end-of-string from every opener. Model output is
untrusted, so a prompt-injected or malicious model can stall the agent
loop with many unclosed openers (measured ~25s on a 60KB <thought flood).

- text_helpers.py: replace ambiguous <thought(\s+[^>]*)?> with
  <thought([^>]*)> (identical capture, no \s+/[^>]* overlap); skip the
  Gemma <|channel>...<channel|> subs when no <channel|> closer is present.
- tool_parsing.py: gate _TOOL_CALL_RE, _XML_TOOL_CALL_RE and _TOOL_CODE_RE
  (in parse_tool_blocks and strip_tool_blocks) on a cheap presence check
  for their closing delimiter. With no closer the regex cannot match, so
  skipping is equivalent; only the wasted O(n^2) rescan is removed.

Resolves CodeQL py/polynomial-redos #230, #231, #232, #233, #235, #236,
#524. The _XML_OPEN_TOOL_CALL_RE alerts (#234, #477) are false positives
(its greedy [\s\S]*\Z is linear) and left untouched.

* fix(security): close ReDoS gaps in tool/think parsers from review

Addresses two review findings on the closer-guard approach:

- Whole-string "closer exists?" checks were bypassable: a stale closer
  before an opener flood, or a closer with no reachable inner `}`, kept
  the guard true while every opener still rescanned to end-of-string
  (O(n^2)). Replace the substring guards with `_iter_delimited`, a
  forward-only scan that pairs each opener with a *later* closer and
  stops once none is reachable (O(n)). `parse_tool_blocks` and
  `strip_tool_blocks` (via `_strip_delimited`) both use it for the
  [TOOL_CALL], <tool_call>/<function_call>, and <tool_code> formats.
  Verified equivalent to the original regexes on well-formed inputs.

- `<thought([^>]*)>` dropped the tag-name boundary and corrupted
  unrelated tags (`<thoughtful>` -> `<thinkful>`). Use `<thought(\s[^>]*)?>`:
  the single fixed `\s` keeps the pattern linear (no `\s+`/`[^>]*`
  overlap) while restoring the boundary; capture is byte-for-byte
  identical for real `<thought ...>` openers.

Adds regressions for stale-closer-before-opener, closer-present-without-
inner-brace, and the <thoughtful>/<thoughts> passthrough.

* fix(security): close Gemma channel ReDoS guard flagged in review

vdmkenny noted the same bypassable whole-string guard remained in
text_helpers.py: `if "<channel|>" in out.lower()` gating the Gemma
thought/response channel subs. A stale `<channel|>` before a
`<|channel>thought` opener flood keeps the guard true while every opener
still rescans to end-of-string (measured ~7.3s at 4k openers).

Replace it with `_sub_delimited`, the same forward-only scan used for the
tool-call parsers: pair each opener with a later closer, stop when none is
reachable (O(n)). Verified output-equivalent to the original capture regexes
on well-formed multi-channel inputs; the stale-closer case now runs in <2ms.
Adds a regression for stale-closer-before-opener on the Gemma path.

* fix(security): harden strip_think() think-tag ReDoS flagged in review

The earlier fixes hardened normalize_thinking_markup and the delimiter
scanners, but the production entrypoint strip_think() still ran
_THINK_CLOSED_RE / _THINK_ATTR_RE / _THINK_OPEN_RE (and the stray-tag
_THINK_TAG_RE) over untrusted model output. Those kept the same ReDoS
shapes: the lazy `<open>[\s\S]*?</close>` rescanned to end-of-string from
every opener, and `(?:\s+[^>]*)?` / `[^>]*` attribute scans ran to
end-of-string from every opener on a "many openers, no closer" flood. On
the prior head, malformed `<think` / `<thinking` / `<thought` floods took
6-14s through strip_think(). The shipped `<thought>` normalization had the
same residual: the single-opener case was linear but an opener flood was
still O(n^2) (~4.4s).

- Replace the lazy multi-pass _THINK_CLOSED_RE loop with the existing
  forward-only _sub_delimited scan (pair each opener with the first
  reachable closer, stop when none is reachable). One pass collapses
  sequential and nested blocks as before.
- Bound every opener/stray-tag attribute scan at `<` (`[^<>]` not `[^>]`)
  so a no-`>` opener flood can't drive a single match attempt to
  end-of-string. Identical capture for well-formed think/thought tags.
- email_helpers._strip_think: compute had_think from the single linear
  _THINK_TAG_RE instead of the lazy closed/open `.search()` calls, which
  had the same O(n^2) on the email reply/summary/extraction paths.

All flood variants now finish in <10ms (were 6-14s). Output verified
byte-for-byte identical to the prior implementation over a 34-case corpus
(nested, mismatched, attr, uppercase, Gemma, prose, prompt-echo). Adds
strip_think() timing regressions for malformed openers, opener floods
(all three tag names), the closed-opener flood, and the malformed-closer
flood.

* docs: trim verbose comments in think-tag ReDoS fix
2026-06-27 10:12:28 -07:00

196 lines
9.0 KiB
Python

"""Text-cleanup helpers shared across LLM-output paths.
Single source of truth for `<think>`-tag stripping, Qwen-style "Thinking
Process" blocks, and the soft "reasoning prose" heuristic that catches
chain-of-thought leaks from models that don't tag their reasoning.
Before this module, six different files (`email_routes.py`,
`chat_helpers.py`, `note_routes.py`, `builtin_actions.py`, `research_utils.py`,
`agent_loop.py`) each had their own variant of the same regex. They all
broke in slightly different ways on the edges (unclosed `<think>`, nested
tags, model emitting `<thinking>` instead of `<think>`).
"""
from __future__ import annotations
import re
_THINK_TAG_NAME = r"(?:think(?:ing)?|thought)"
# Think-tag matchers. `[^<>]` (not `[^>]`) bounds attribute scans at the next
# `<` so an opener flood with no closing `>` can't backtrack to end-of-string
# (ReDoS, CodeQL py/polynomial-redos); capture is identical for well-formed tags.
# Opener/closer are split for the forward-only block strip (_sub_delimited).
_THINK_OPEN_TAG_RE = re.compile(rf"<{_THINK_TAG_NAME}(?:\s[^<>]*)?>", re.IGNORECASE)
_THINK_CLOSE_TAG_RE = re.compile(rf"</{_THINK_TAG_NAME}>\s*", re.IGNORECASE)
# Orphan opening/closing tags left after the block strip.
_THINK_TAG_RE = re.compile(rf"</?{_THINK_TAG_NAME}[^<>]*>\s*", re.IGNORECASE)
# Dangling opener with no closer: strip from `<think>` to end of string.
_THINK_OPEN_RE = re.compile(rf"<{_THINK_TAG_NAME}(?:\s[^<>]*)?>[\s\S]*$", re.IGNORECASE)
# Normalize `<thinking time="0.42">`-style attributes to a plain `<think>`.
_THINK_ATTR_RE = re.compile(rf"<{_THINK_TAG_NAME}\s[^<>]*>", re.IGNORECASE)
_THINK_ATTR_CLOSE_RE = re.compile(rf"</{_THINK_TAG_NAME}\s[^<>]*>", re.IGNORECASE)
_GEMMA_THOUGHT_OPEN_RE = re.compile(r"<\|channel>thought\s*\n?[\s\S]*$", re.IGNORECASE)
_GEMMA_RESPONSE_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 delimiters, split for the forward-only sub (_sub_delimited).
_GEMMA_THOUGHT_CHANNEL_OPEN_RE = re.compile(r"<\|channel>thought\s*\n?", re.IGNORECASE)
_GEMMA_CHANNEL_CLOSE_TRIM_RE = re.compile(r"<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(
r"^Thinking Process:.*?(?=\n\n#|\n\n\*\*|\Z)",
re.IGNORECASE | re.DOTALL,
)
# Leaked prompt-echo headers (a few models replay the request before answering).
_PROMPT_ECHO_RES = (
re.compile(r"^The user asks:.*?(?=\n\n#|\n\n\*\*[A-Z]|\Z)", re.DOTALL),
re.compile(r"^We need to.*?(?=\n\n#|\n\n\*\*[A-Z]|\Z)", re.DOTALL),
)
# Aggressive heuristic for untagged reasoning prose (models that don't wrap
# CoT in `<think>` tags). Only applied as opt-in (`prose=True`) because it
# false-positives on legit user content like "Looking at the attached file…".
_REASONING_PREFIX_RE = re.compile(
r"^\s*(?:"
r"the user (?:wants|is|asks|needs|wrote|said|told|messaged|requested)|"
r"i (?:need|should|have|'ll|will|am going)(?: to)? (?:write|draft|reply|respond|read|check|look|review|consider|think|provide|generate|produce|craft|compose|acknowledge|summarize|answer|give|keep|aim|make|address|focus|use|just|simply|analyze|format|create|build|note|decide)|"
r"let me (?:think|look|see|check|read|review|consider|draft|write|analyze|format|summarize|create|produce|craft|note|extract|identify|figure)|"
r"looking at (?:the|this|that)|"
r"(?:okay|alright|hmm|right|so|well|first|next|now)[,.]?\s+(?:the|i|let|so|now|this|here)|"
r"based on (?:the|this|what|context)|"
r"to (?:draft|write|reply|respond|summarize|answer)"
r")\b",
re.IGNORECASE,
)
def _strip_reasoning_prose(text: str) -> str:
if not text or not text.strip():
return text
paragraphs = re.split(r"\n\s*\n", text.strip())
if len(paragraphs) <= 1:
return text
# Strip only a LEADING contiguous run of reasoning paragraphs. Keeping the
# text after the *last* reasoning paragraph destroyed the real answer when a
# reasoning-style sentence trailed it: keep became empty and the function
# returned that trailing sentence instead of the answer above it.
first_keep = 0
for i, p in enumerate(paragraphs):
if _REASONING_PREFIX_RE.match(p):
first_keep = i + 1
else:
break
if first_keep == 0:
return text
keep = paragraphs[first_keep:]
return "\n\n".join(keep).strip() if keep else text
def _sub_delimited(text, open_re, close_re, repl):
"""Forward-only ``re.sub`` of ``open_re...close_re`` that can't ReDoS.
Pairs each opener with the first closer after it and stops once no closer is
reachable, so it stays O(n) instead of re.sub's rescan-to-end from every
opener (O(n^2) on "many openers, no closer" input). ``repl`` gets the inner
text. A whole-string "closer present?" guard is not enough: a stale closer
before an opener flood keeps it true while every opener still rescans.
"""
out = []
pos = 0
while True:
om = open_re.search(text, pos)
if om is None:
break
cm = close_re.search(text, om.end())
if cm is None:
break
out.append(text[pos:om.start()])
out.append(repl(text[om.end():cm.start()]))
pos = cm.end()
out.append(text[pos:])
return "".join(out)
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(inner: str) -> str:
thought = inner.strip()
return f"<think>{thought}</think>\n" if thought else ""
# Forward-only so a stale/unreachable `<channel|>` can't drive a ReDoS rescan.
out = _sub_delimited(
out, _GEMMA_THOUGHT_CHANNEL_OPEN_RE, _GEMMA_CHANNEL_CLOSE_TRIM_RE, _replace_gemma_thought
)
out = _sub_delimited(
out, _GEMMA_RESPONSE_OPEN_RE, _GEMMA_CHANNEL_CLOSE_RE, lambda inner: inner
)
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.
Args:
prose: also strip untagged "reasoning prose" paragraphs. Risky on user
content (false-positives on phrases like "Looking at the attached
file…"); only enable for short LLM-only outputs and only when a
`<think>` tag was actually present in the input — callers can use
the `had_think` semantics by passing `prose=True` only when they
know the input is LLM-only.
prompt_echo: also strip Qwen "Thinking Process:" blocks and
"The user asks:" / "We need to" leaked prompt echoes.
Robust to:
* 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)
# Forward-only block strip (see _sub_delimited): one pass collapses nested
# and sequential blocks without the old lazy re.sub loop's ReDoS rescan.
out = _sub_delimited(text, _THINK_OPEN_TAG_RE, _THINK_CLOSE_TAG_RE, lambda _inner: "")
out = _THINK_OPEN_RE.sub("", out)
out = _THINK_TAG_RE.sub("", out)
if prompt_echo:
out = _QWEN_THINKING_RE.sub("", out)
for _re in _PROMPT_ECHO_RES:
out = _re.sub("", out)
if prose:
out = _strip_reasoning_prose(out)
return out.strip()
# Back-compat alias for the deep-research code path. Keeps existing imports
# from `src.research_utils` working while delegating to the central impl.
def strip_thinking(text: str) -> str:
return strip_think(text or "", prose=False, prompt_echo=True)