Merge pull request #1225 from MemPalace/feat/privacy-warn-tailscale-cgnat

feat(privacy): treat Tailscale CGNAT range (100.64.0.0/10) as local
This commit is contained in:
Igor Lins e Silva
2026-04-26 19:40:58 -03:00
committed by GitHub
2 changed files with 64 additions and 0 deletions
+48
View File
@@ -378,3 +378,51 @@ def test_anthropic_provider_default_endpoint_is_external():
f"Default AnthropicProvider endpoint must be external; got "
f"is_external_service={p.is_external_service} for endpoint={p.endpoint}"
)
# ── Tailscale CGNAT range (issue #25 follow-up to #24) ──────────────────
#
# Tailscale assigns addresses in 100.64.0.0/10 (CGNAT range): first octet
# always 100, second octet 64-127 inclusive. Users running LM Studio /
# Ollama / any local LLM accessible via Tailscale would currently
# (post-#24, pre-#25) get a wrong privacy warning because the heuristic
# doesn't recognize CGNAT as private. These tests pin the fix.
def test_openai_compat_provider_tailscale_cgnat_endpoint_is_local():
"""Tailscale CGNAT range (100.64.0.0/10) — IPs where the first octet
is 100 AND the second octet is 64-127 inclusive — must be classified
as local. Tailscale users running LM Studio on their Tailnet should
not trigger the external-API warning.
"""
cases = [
("http://100.64.0.1:1234", "start of CGNAT"),
("http://100.100.50.50:1234", "middle of CGNAT (typical Tailscale assignment)"),
("http://100.127.255.254:1234", "near end of CGNAT"),
]
for endpoint, label in cases:
p = OpenAICompatProvider(model="any", endpoint=endpoint)
assert p.is_external_service is False, (
f"Tailscale CGNAT address {endpoint} ({label}) must be classified "
f"local; got is_external_service={p.is_external_service}"
)
def test_openai_compat_provider_outside_tailscale_cgnat_is_external():
"""Addresses in 100.x.x.x that fall OUTSIDE the CGNAT range
(100.64.0.0 - 100.127.255.255) are public IPs in regular allocated
space and must remain classified as external. Specifically: anything
where the second octet is < 64 or > 127.
"""
cases = [
("http://100.0.0.1:1234", "below CGNAT (public)"),
("http://100.63.255.255:1234", "just below CGNAT (boundary)"),
("http://100.128.0.0:1234", "just above CGNAT (boundary)"),
("http://100.255.255.255:1234", "well above CGNAT"),
]
for endpoint, label in cases:
p = OpenAICompatProvider(model="any", endpoint=endpoint)
assert p.is_external_service is True, (
f"Address {endpoint} ({label}) is OUTSIDE Tailscale CGNAT and "
f"should remain external; got is_external_service={p.is_external_service}"
)