fix(chat): preserve URL prefetch failures in context (#5954)

* fix(chat): preserve URL fetch failures in context

* fix(chat): avoid duplicating signed URLs in fetch failures

---------

Co-authored-by: Alexandre Teixeira <alexandremagteixeira@gmail.com>
This commit is contained in:
RaresKeY 2026-08-17 00:01:10 +01:00 committed by GitHub
commit ee252e7cd9
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2 changed files with 203 additions and 1 deletions

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@ -462,7 +462,14 @@ class ChatProcessor:
skip_url_fetch = len(message) > 2000 or len(non_yt_urls) > 3
if not skip_url_fetch:
for url in non_yt_urls:
result = fetch_webpage_content(url)
try:
result = fetch_webpage_content(url)
except Exception:
# The URL and exception can both contain signed-query
# credentials or response-controlled text. Keep the log
# diagnostic stable as well as the model-facing context.
logger.warning("Automatic URL fetch failed while building context")
result = {"success": False, "error": ""}
if result.get('success'):
content = result.get('content', '')[:10000]
preface.append(untrusted_context_message(
@ -470,6 +477,24 @@ class ChatProcessor:
f"Content from {url}:\n\n{content}",
provenance_origin="external",
))
else:
# A failed automatic URL fetch is context too. Never pass
# exception text or response-controlled diagnostics back to
# the model: reduce the result to a small transport-owned
# status and explicitly state that the page was not read.
error = str(result.get("error") or "")
status = "the page was unavailable"
status_match = re.match(r"^HTTP\s+(\d{3})\b", error)
if status_match:
status = f"the server returned HTTP {status_match.group(1)}"
elif error.startswith("TooLarge:"):
status = "the response exceeded the fetch size limit"
elif error.startswith("Rate limit"):
status = "the request was rate limited"
preface.append(untrusted_context_message(
"web page fetch failure",
f"A linked page was not read: {status}.",
))
# Skills index — progressive disclosure. Only injected when the
# model has the `manage_skills` tool available (agent_mode), and

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@ -0,0 +1,177 @@
"""Automatic chat URL fetch failures must remain visible to the model."""
import logging
from types import SimpleNamespace
import pytest
import src.chat_processor as chat_processor
def _processor():
return chat_processor.ChatProcessor(
memory_manager=SimpleNamespace(load=lambda owner=None: []),
personal_docs_manager=SimpleNamespace(rag_manager=None),
skills_manager=None,
)
def test_failed_url_prefetch_keeps_diagnostics_out_of_model_context(monkeypatch):
monkeypatch.setattr(
chat_processor,
"fetch_webpage_content",
lambda url: {
"success": False,
"error": "NetworkError: connection refused\nattacker supplied detail",
},
)
preface, _, _ = _processor().build_context_preface(
message=(
"Please summarize "
"https://example.invalid/report?token=LEAK_URL_MARKER"
),
session=SimpleNamespace(endpoint_url="", model="", headers={}),
use_web=False,
use_rag=False,
use_memory=False,
)
failure = next(
message
for message in preface
if (message.get("metadata") or {}).get("source")
== "web page fetch failure"
)
assert failure["metadata"]["trusted"] is False
assert "was not read: the page was unavailable" in failure["content"]
assert "connection refused" not in failure["content"]
assert "attacker supplied detail" not in failure["content"]
assert "LEAK_URL_MARKER" not in failure["content"]
assert "LEAK_URL_MARKER" not in str(failure["metadata"])
def test_failed_url_prefetch_exposes_only_stable_http_status(monkeypatch):
monkeypatch.setattr(
chat_processor,
"fetch_webpage_content",
lambda url: {
"success": False,
"error": "HTTP 403: attacker-controlled response detail",
},
)
preface, _, _ = _processor().build_context_preface(
message="Read https://example.test/private",
session=SimpleNamespace(endpoint_url="", model="", headers={}),
use_web=False,
use_rag=False,
use_memory=False,
)
content = preface[-1]["content"]
assert "server returned HTTP 403" in content
assert "attacker-controlled" not in content
@pytest.mark.parametrize(
("error", "expected_category"),
[
(
"TooLarge: response exceeded configured limit; attacker-controlled detail",
"response exceeded the fetch size limit",
),
(
"Rate limit exceeded: attacker-controlled detail",
"request was rate limited",
),
],
)
def test_failed_url_prefetch_exposes_only_stable_failure_category(
monkeypatch, error, expected_category
):
monkeypatch.setattr(
chat_processor,
"fetch_webpage_content",
lambda url: {"success": False, "error": error},
)
preface, _, _ = _processor().build_context_preface(
message="Read https://example.test/report",
session=SimpleNamespace(endpoint_url="", model="", headers={}),
use_web=False,
use_rag=False,
use_memory=False,
)
content = preface[-1]["content"]
assert expected_category in content
assert "attacker-controlled" not in content
def test_unexpected_url_prefetch_exception_does_not_abort_context(monkeypatch):
def fail(url):
raise RuntimeError("socket detail must stay in logs")
monkeypatch.setattr(chat_processor, "fetch_webpage_content", fail)
preface, _, _ = _processor().build_context_preface(
message="Review https://example.test/report",
session=SimpleNamespace(endpoint_url="", model="", headers={}),
use_web=False,
use_rag=False,
use_memory=False,
)
content = preface[-1]["content"]
assert "was not read: the page was unavailable" in content
assert "socket detail" not in content
def test_unexpected_url_prefetch_exception_logs_only_stable_diagnostic(
monkeypatch, caplog
):
def fail(url):
raise RuntimeError("transport detail LEAK_EXCEPTION_MARKER")
monkeypatch.setattr(chat_processor, "fetch_webpage_content", fail)
with caplog.at_level(logging.WARNING, logger=chat_processor.logger.name):
_processor().build_context_preface(
message=(
"Review https://example.test/report?token=LEAK_URL_MARKER"
),
session=SimpleNamespace(endpoint_url="", model="", headers={}),
use_web=False,
use_rag=False,
use_memory=False,
)
assert "Automatic URL fetch failed while building context" in caplog.text
assert "LEAK_URL_MARKER" not in caplog.text
assert "LEAK_EXCEPTION_MARKER" not in caplog.text
def test_successful_url_prefetch_keeps_existing_content_shape(monkeypatch):
monkeypatch.setattr(
chat_processor,
"fetch_webpage_content",
lambda url: {"success": True, "content": "page body"},
)
preface, _, _ = _processor().build_context_preface(
message="Read https://example.test/page",
session=SimpleNamespace(endpoint_url="", model="", headers={}),
use_web=False,
use_rag=False,
use_memory=False,
)
page = next(
message
for message in preface
if (message.get("metadata") or {}).get("source")
== "web page: https://example.test/page"
)
assert page["metadata"]["trusted"] is False
assert "page body" in page["content"]