4 files changed, 248 insertions, 0 deletions. 7 new tests (4 unit + 3 integration), all RED-first.
Per @milla-jovovich's question to @igorls during PR #1221 review: users
running `mempalace init` with an external LLM provider (Anthropic API,
OpenAI hosted, etc.) need a clear, explicit warning that their folder
content will be sent to the provider, that MemPalace doesn't control
how the provider logs/retains/uses that data, and how to opt out.
@igorls confirmed this should be a small follow-up PR scoped to the
warning itself, before the v3.3.4 tag.
This PR adds:
- `_endpoint_is_local(url)` helper in `mempalace/llm_client.py` —
URL-based heuristic returning True if the hostname is on the user's
machine or private network. Covers: localhost, 127.0.0.1, ::1,
hostnames ending in .local (mDNS/Bonjour), IPv4 RFC1918 ranges
(10/8, 172.16-31/12, 192.168/16), and IPv6 unique-local addresses
(fc00::/7).
- `is_external_service` property on the `LLMProvider` base class.
Subclasses inherit; the URL determines (no provider-specific
hardcoding). This means: Ollama on localhost = local. LM Studio on
LAN = local. Anthropic with default `https://api.anthropic.com` =
external. A user proxying Anthropic through localhost (advanced
setup) = local, no false-positive warning.
- One-line warning print in `cmd_init` after successful provider
acquisition, gated on `is_external_service`:
⚠ {provider_name} is an EXTERNAL API. Your folder content will be
sent to the provider during init. MemPalace does not control how
the provider logs, retains, or uses your data. Pass --no-llm to
keep init fully local.
The warning fires AFTER `LLM enabled: ...` so users see both that
the LLM is engaged AND the privacy implications of where it lives,
before Pass 0 / entity detection actually runs.
LOCAL providers (Ollama on localhost, LM Studio on localhost or LAN,
llama.cpp on localhost, vLLM on localhost) DO NOT trigger the warning —
nothing leaves the user's machine/network in those configurations.
TDD: 7 tests added across 2 files.
Unit tests in `tests/test_llm_client.py` (4 tests, all RED-first):
1. test_ollama_provider_default_endpoint_is_local — pins that the
default `http://localhost:11434` is classified local.
2. test_openai_compat_provider_localhost_endpoint_is_local — covers
the LM Studio / llama.cpp / vLLM common case (localhost,
127.0.0.1, and 192.168.x LAN).
3. test_openai_compat_provider_cloud_endpoint_is_external — pins
that pointing openai-compat at https://api.openai.com (or any
non-local URL) classifies as external.
4. test_anthropic_provider_default_endpoint_is_external — pins that
AnthropicProvider's default endpoint is external (the dominant
user-facing case for `--llm-provider anthropic`).
Integration tests in `tests/test_corpus_origin_integration.py` (3 tests,
RED-first; 1 was the critical RED — the other 2 passed by accident
since nothing printed "EXTERNAL API" before this PR):
5. test_init_prints_privacy_warning_when_provider_is_external —
captures stdout from cmd_init with a mocked external provider,
asserts the warning text contains "EXTERNAL API" + "--no-llm" +
language about MemPalace not controlling provider behavior.
6. test_init_no_privacy_warning_when_provider_is_local — same flow
with a mocked local provider, asserts the warning text does NOT
appear.
7. test_init_no_privacy_warning_with_no_llm_flag — pins the --no-llm
path: no provider acquisition attempted, no warning fires.
Tests: 1382 total mempalace tests pass. 2 pre-existing environmental
failures unrelated to this change (chromadb optional dep). Ruff check +
format both clean.
Backwards compatible: `is_external_service` is a new property; existing
callers don't reference it. The warning is a new print statement that
fires only when an external endpoint is acquired. The `--no-llm` opt-out
existed before this PR and continues to work identically.
Out of scope for follow-up (deliberately not in this PR per Igor's
"small PR" guidance): Tailscale CGNAT (100.64.0.0/10) treatment,
pre-init confirmation prompt, persistent privacy-mode config flag,
explicit cloud-provider name detection. Tracked for future iteration.
MSL
4400734867