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InputSanitizationMiddleware's text extraction only collected dict blocks with type == "text", so a HumanMessage whose content list carried a bare str item (a shape message_content_to_text treats as text and some IM/SDK clients send) yielded no text at all — the request passed through unwrapped and unescaped, letting forged framework tags (<system-reminder> etc.) reach the model untouched. The sibling rfind-fallback path in _process_request already neutralized bare strings individually, and both ToolResultSanitizationMiddleware and ToolOutputBudgetMiddleware treat bare strings as text; the extraction helper was the odd one out. Collect bare string blocks alongside text-block dicts (skipping empty items, matching message_content_to_text), merging them into the single sanitized text block on rebuild while interleaved non-text blocks keep their positions.
461 lines
21 KiB
Python
461 lines
21 KiB
Python
"""Input guardrail middleware for prompt-injection defense (issue #3630).
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Escapes blocked XML-like tags in the last genuine user message (e.g.
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``<system>`` → ``<system>``) so they render as literal text instead
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of structured-context markers. This preserves the user's intent ("how do
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I use DeerFlow's <think> tag?") while neutralizing injection attempts —
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the same de-identify-don't-reject strategy as AWS Bedrock's PII ANONYMIZE.
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Blocked: system-reserved tags (memory, analysis, etc.) + common injection
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tags (system, instruction, role, etc.). Normal HTML/XML tags (<div>,
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<span>) are NOT escaped.
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Clean input is wrapped in plain-text boundary markers as a secondary
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semantic defense (OWASP structured-prompt guidance).
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"""
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from __future__ import annotations
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import logging
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import re
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from collections.abc import Awaitable, Callable
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from typing import override
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from langchain.agents import AgentState
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from langchain.agents.middleware import AgentMiddleware
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from langchain.agents.middleware.types import (
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ModelCallResult,
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ModelRequest,
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ModelResponse,
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)
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from langchain_core.messages import HumanMessage
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from langgraph.errors import GraphBubbleUp
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from deerflow.agents.human_input import read_human_input_response
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from deerflow.utils.messages import ORIGINAL_USER_CONTENT_KEY, message_content_to_text
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logger = logging.getLogger(__name__)
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_SUMMARY_MESSAGE_NAME = "summary"
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# Finite set of blocked tag names: system-reserved + common injection patterns.
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#
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# Maintenance: when adding a new framework block tag that the system emits into
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# model input, you MUST also update the expected count in
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# test_input_sanitization_middleware.py::test_denylist_covers_framework_authority_blocks.
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# The test pins the exact number of blocked tags so a new framework tag cannot
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# be added without the corresponding regression guard.
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_BLOCKED_TAG_NAMES: frozenset[str] = frozenset(
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{
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# Framework-injected structured/authority blocks. The lead-agent system
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# prompt's "System-Context Confidentiality" section (agents/lead_agent/
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# prompt.py) declares *every* such tag trusted internal data — it names a
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# few then says "and all other structured tags". So the denylist must
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# cover the framework's authority blocks as a class, not a hand-picked
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# subset: any one of them, forged in untrusted input, mimics trusted
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# framework context. Enumerated from the block tags the framework actually
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# emits into model input (system prompt + hidden-context/reminder
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# middlewares) and pinned against drift by
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# test_input_sanitization_middleware.py::test_denylist_covers_framework_authority_blocks.
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# Both spellings of the reminder block are covered: "system-reminder"
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# (dynamic-context) and "system_reminder" (todo/terminal middlewares).
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#
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# Subagents share this denylist: build_subagent_runtime_middlewares reuses
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# the same _build_runtime_middlewares base, so both sanitization paths guard
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# subagent model input too. The subagent system-prompt blocks
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# (file_editing_workflow / guidelines / output_format / working_directory)
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# are therefore authority blocks of the same class as the lead-agent ones.
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"system-reminder",
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"system_reminder",
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"memory",
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"current_date",
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"think",
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"analysis",
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"role",
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"soul",
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"self_update",
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"thinking_style",
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"clarification_system",
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"critical_reminders",
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"response_style",
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"citations",
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"uploaded_files", # old uploads tag — still processed by deermem for backward-compat
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"current_uploads",
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"subagent_system",
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"skill_system",
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"skill_index",
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"available_skills",
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"disabled_skills",
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"memory_tool_system",
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"todo_list_system",
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"durable_context_data",
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"slash_skill_activation",
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"mcp_routing_hints",
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"available-deferred-tools",
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"goal_continuation",
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"file_editing_workflow",
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"guidelines",
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"output_format",
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"working_directory",
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# Subagent system-prompt block (general_purpose.py): declares the task
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# tool off-limits. Forging this in untrusted input could trick the
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# model into believing it has (or lacks) tool restrictions it does not.
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"tool_restrictions",
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# Common prompt-injection tag patterns
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"system",
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"instruction",
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"important",
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"override",
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"ignore",
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"prompt",
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}
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)
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# Matches a full blocked tag: <tag>, </tag>, <tag attrs>, <tag/>, bare <tag
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_BLOCKED_TAG_PATTERN = re.compile(
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r"<\s*/?\s*(?:" + "|".join(re.escape(t) for t in sorted(_BLOCKED_TAG_NAMES)) + r")\b[^>]*>?",
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re.IGNORECASE,
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)
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# Plain-text boundary markers (OWASP structured-prompt guidance).
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_USER_INPUT_BEGIN = "--- BEGIN USER INPUT ---"
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_USER_INPUT_END = "--- END USER INPUT ---"
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# Neutralized forms injected when the user's text already contains a marker.
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# These look visually similar but do not match the real boundary delimiters.
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_NEUTRALIZED_BEGIN = "[BEGIN USER INPUT]"
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_NEUTRALIZED_END = "[END USER INPUT]"
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# Matches either boundary token as a standalone line or embedded in text.
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_BOUNDARY_TOKEN_RE = re.compile(
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re.escape(_USER_INPUT_BEGIN) + r"|" + re.escape(_USER_INPUT_END),
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)
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def _escape_tag_match(match: re.Match) -> str:
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"""Escape < and > in a blocked-tag match so it renders as literal text."""
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return match.group(0).replace("<", "<").replace(">", ">")
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def _neutralize_boundary_tokens(text: str) -> str:
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"""Replace real BEGIN/END USER INPUT markers with look-alike inert forms."""
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return _BOUNDARY_TOKEN_RE.sub(
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lambda m: _NEUTRALIZED_BEGIN if m.group(0) == _USER_INPUT_BEGIN else _NEUTRALIZED_END,
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text,
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)
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def neutralize_untrusted_tags(text: str) -> str:
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"""Neutralize framework/injection control tokens in untrusted text.
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Shared primitive for any content that originates outside the trust boundary
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and is about to enter the model context as *data* — currently the genuine
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user message (via :func:`_check_user_content`) and remote tool results
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(web_fetch / web_search and friends, via
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:class:`ToolResultSanitizationMiddleware`).
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Applies exactly the two structural defenses, and nothing else:
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* blocked framework/injection tags (e.g. ``<system-reminder>``) are
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HTML-escaped to ``<system-reminder>`` so they lose their structural
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meaning while staying human-readable;
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* the plain-text ``--- BEGIN/END USER INPUT ---`` boundary markers are
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neutralized so untrusted content cannot forge or break out of the
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user-input boundary.
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It intentionally does **not** wrap the text in boundary markers: that
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framing is specific to the user message. Empty/whitespace-only text is
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returned unchanged so callers do not emit marker noise.
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"""
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if not text.strip():
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return text
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text = _BLOCKED_TAG_PATTERN.sub(_escape_tag_match, text)
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return _neutralize_boundary_tokens(text)
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def _is_genuine_user_message(message: object) -> bool:
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"""Return True for real user messages, excluding system-injected HumanMessages.
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``hide_from_ui`` is also used by hidden UI replies from HumanInputCard, so
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only skip hidden HumanMessages that do not carry a valid user response.
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"""
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if not isinstance(message, HumanMessage):
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return False
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if message.name == _SUMMARY_MESSAGE_NAME:
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return False
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if message.additional_kwargs.get("hide_from_ui") and read_human_input_response(message.additional_kwargs) is None:
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return False
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return True
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def _check_user_content(text: str) -> str:
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"""Sanitize user content: escape blocked tags, then wrap in boundary markers.
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* Empty/whitespace-only → return unchanged (no marker noise).
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* Blocked tags → HTML-escape ``<``/``>`` (e.g. ``<system>`` → ``<system>``).
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* Boundary tokens in user text → neutralized so they cannot forge boundaries.
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* Already wrapped (strict prefix+suffix) → return text unchanged (idempotent).
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* Otherwise → wrap in boundary markers.
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"""
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if not text.strip():
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return text
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text = _BLOCKED_TAG_PATTERN.sub(_escape_tag_match, text)
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# Idempotency: only skip if text is *exactly* wrapped (prefix+suffix),
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# not if the user merely typed the begin token somewhere.
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if text.startswith(_USER_INPUT_BEGIN) and text.endswith(_USER_INPUT_END):
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# Still neutralize boundary tokens in the inner content — a user
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# can forge the outer wrapping to bypass the neutralization below
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# and inject inner boundary markers (break-out attack).
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inner = text[len(_USER_INPUT_BEGIN) : -len(_USER_INPUT_END)]
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neutralized_inner = _neutralize_boundary_tokens(inner)
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if neutralized_inner == inner:
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return text
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return f"{_USER_INPUT_BEGIN}{neutralized_inner}{_USER_INPUT_END}"
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# Neutralize any boundary tokens the user may have embedded, preventing
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# both self-suppression (begin token skips wrapping) and break-out
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# (end token creates a premature boundary inside the payload).
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text = _neutralize_boundary_tokens(text)
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return f"{_USER_INPUT_BEGIN}\n{text}\n{_USER_INPUT_END}"
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class InputSanitizationMiddleware(AgentMiddleware[AgentState]):
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"""Guardrail middleware that escapes prompt-injection tags in user input.
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Blocked tags are HTML-escaped (not rejected) so the user's intent is
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preserved while the tags lose their semantic significance. Clean input
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is wrapped in plain-text boundary markers. Transformation is temporary
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(wrap_model_call) — never written to state.
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"""
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@staticmethod
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def _extract_text_from_content(content: str | list) -> tuple[str, list | None]:
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"""Extract concatenated text from a plain-string or content-block-list.
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Returns ``(text, extracted_blocks)``. *extracted_blocks* is None when
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*content* is a string, or the list of text-content blocks when a list.
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A list can hold bare ``str`` items next to content-block dicts
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(``message_content_to_text`` treats both as text, and some IM/SDK
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clients send exactly that shape), so bare strings are collected too —
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skipping them would skip sanitization entirely for that message.
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"""
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if isinstance(content, str):
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return content, None
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if not isinstance(content, list):
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return "", None
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text_parts: list[str] = []
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text_blocks: list[dict | str] = []
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for block in content:
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if isinstance(block, str):
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if not block: # skip empty items — matches message_content_to_text behaviour
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continue
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text_parts.append(block)
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text_blocks.append(block)
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elif isinstance(block, dict) and block.get("type") == "text" and isinstance(block.get("text"), str):
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text = block["text"]
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if not text: # skip empty blocks — matches message_content_to_text behaviour
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continue
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text_parts.append(text)
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text_blocks.append(block)
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return "\n".join(text_parts), text_blocks
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@staticmethod
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def _rebuild_content(
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original_content: list,
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processed_text: str,
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text_blocks: list,
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) -> list:
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"""Replace text blocks with a single merged text block, preserving interleaved non-text blocks.
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For ``[text, image, text]`` the image block between the two text blocks
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is kept in place — only the text blocks are collapsed into one.
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"""
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text_block_ids = {id(b) for b in text_blocks}
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first = last = None
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for i, block in enumerate(original_content):
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if id(block) in text_block_ids:
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if first is None:
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first = i
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last = i
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if first is None:
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return original_content
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result: list = [*original_content[:first], {"type": "text", "text": processed_text}]
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# Re-insert any non-text blocks that sat between text blocks
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for i in range(first + 1, last + 1):
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if id(original_content[i]) not in text_block_ids:
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result.append(original_content[i])
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result.extend(original_content[last + 1 :])
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return result
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def _process_request(self, request: ModelRequest) -> ModelRequest:
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"""Return a request with the last genuine user message sanitized.
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Blocked tags are HTML-escaped (not rejected) so the user's intent is
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preserved while the tags lose their semantic significance. Transformation
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is temporary — the original request is never mutated.
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"""
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messages = list(request.messages)
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for i in range(len(messages) - 1, -1, -1):
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msg = messages[i]
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if not _is_genuine_user_message(msg):
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if isinstance(msg, HumanMessage):
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logger.debug(
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"_process_request: skipping non-genuine HumanMessage at pos=%d name=%s hide_from_ui=%s content_preview=%.80r",
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i,
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msg.name,
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msg.additional_kwargs.get("hide_from_ui"),
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msg.content,
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)
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continue
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content = msg.content
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logger.debug("_process_request: found genuine user message at pos=%d content=%.120r", i, content)
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text_content, text_blocks = self._extract_text_from_content(content)
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# No text at all (e.g. image-only message) — pass through
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if not text_content and not isinstance(content, str):
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logger.debug("_process_request: no text content in message — passing through")
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return request
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# Sanitize only the user's original input when available (set by
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# UploadsMiddleware before it prepends the <current_uploads> block),
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# so server-injected trusted blocks are never scanned for blocked
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# tags. Fall back to full-content scanning only when the marker is
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# absent — UploadsMiddleware sets it on upload turns, so plain text
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# messages without uploads won't have it. Full-content scanning is
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# safe for those: no server-injected <current_uploads> block exists
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# to accidentally escape.
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preserved_kwargs = dict(msg.additional_kwargs or {})
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original_user_content = preserved_kwargs.get(ORIGINAL_USER_CONTENT_KEY)
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if isinstance(original_user_content, str) and original_user_content:
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processed_user = _check_user_content(original_user_content)
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if processed_user != original_user_content:
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# Replace only the user's text suffix within the full
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# content — server-prepended blocks stay untouched.
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idx = text_content.rfind(original_user_content)
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if idx >= 0:
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processed = text_content[:idx] + processed_user
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else:
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# _extract_text_from_content and message_content_to_text
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# disagreed on text extraction — rfind failed (only
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# reachable for multimodal list content; see Decision 18).
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if isinstance(content, list) and len(content) >= 2:
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# content[0] is the server-injected
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# <current_uploads> block (UploadsMiddleware
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# prepends it as the first element for list
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# content). Sanitize only user blocks (content[1:])
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# and rebuild directly — _rebuild_content only
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# handles type:"text" blocks and would miss raw
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# strings or non-standard dict blocks that
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# message_content_to_text sees.
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logger.warning(
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"rfind failed on multimodal content; sanitizing user content blocks individually",
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)
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new_content: list = [content[0]]
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for block in content[1:]:
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if isinstance(block, str):
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new_content.append(neutralize_untrusted_tags(block))
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elif isinstance(block, dict) and block.get("type") == "text" and isinstance(block.get("text"), str):
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sanitized = neutralize_untrusted_tags(block["text"])
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if sanitized != block["text"]:
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new_content.append({**block, "text": sanitized})
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else:
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new_content.append(block)
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else:
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new_content.append(block)
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messages[i] = HumanMessage(
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content=new_content,
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id=msg.id,
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name=msg.name,
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additional_kwargs=preserved_kwargs,
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)
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return request.override(messages=messages)
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else:
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# Cannot distinguish server block from user blocks
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# (non-list content or len(content) < 2).
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# Degrade to full-content sanitization — server
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# block may be escaped (UX degradation) but user
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# forgeries are still neutralized (no security
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# regression).
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logger.warning(
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"rfind failed with original_user_content set; cannot distinguish blocks, falling back to full-content sanitization",
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)
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processed = _check_user_content(text_content)
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else:
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processed = text_content # no change needed
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elif isinstance(original_user_content, str):
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# Key is present but empty string (e.g. file upload with no
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# text input). No user text to sanitize; server-injected
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# blocks must survive untouched.
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processed = text_content
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else:
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processed = _check_user_content(text_content) # fallback
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if processed == text_content:
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# Already clean / already wrapped — no override needed
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return request
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if text_blocks:
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new_content = self._rebuild_content(content, processed, text_blocks)
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else:
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new_content = processed
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# Preserve the pre-sanitization user text so downstream consumers that
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# must see the genuine input (slash skill activation, regenerate) can
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# recover it after the BEGIN/END wrapping. Keep a valid value set by
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# UploadsMiddleware or an IM channel, but repair malformed metadata so
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# persistence never falls back to the wrapped model-facing content.
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if not isinstance(original_user_content, str):
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if ORIGINAL_USER_CONTENT_KEY in preserved_kwargs:
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logger.warning(
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"InputSanitizationMiddleware replaced non-string %s metadata: type=%s",
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ORIGINAL_USER_CONTENT_KEY,
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type(original_user_content).__name__,
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)
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preserved_kwargs[ORIGINAL_USER_CONTENT_KEY] = message_content_to_text(content)
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messages[i] = HumanMessage(
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content=new_content,
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id=msg.id,
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name=msg.name,
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additional_kwargs=preserved_kwargs,
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)
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logger.debug(
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"InputSanitizationMiddleware: original=%r -> processed=%r",
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content if isinstance(content, str) else "[content-blocks]",
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processed,
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)
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return request.override(messages=messages)
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return request
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def _try_process(self, request: ModelRequest) -> ModelRequest:
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"""Sanitize request; fail-open on unexpected errors.
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GraphBubbleUp propagates; other exceptions return the original request.
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"""
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try:
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return self._process_request(request)
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except GraphBubbleUp:
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raise
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except Exception:
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logger.warning(
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"Input guardrail processing failed; passing original request to model",
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exc_info=True,
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)
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return request
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@override
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def wrap_model_call(
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self,
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request: ModelRequest,
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handler: Callable[[ModelRequest], ModelResponse],
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) -> ModelCallResult:
|
|
return handler(self._try_process(request))
|
|
|
|
@override
|
|
async def awrap_model_call(
|
|
self,
|
|
request: ModelRequest,
|
|
handler: Callable[[ModelRequest], Awaitable[ModelResponse]],
|
|
) -> ModelCallResult:
|
|
return await handler(self._try_process(request))
|