open-notebook/tests/test_credentials_api.py
Matt Van Horn 95a6453009
feat: add anthropic_compatible credential provider (#1043)
Register anthropic_compatible in the provider registry so its env config,
modalities, test model, and /api/providers entry are derived from PROVIDERS
(#1075's single source of truth); the only manual copy is the SupportedProvider
Literal. Maps to esperanto's anthropic provider with a custom base_url, and
re-injects that base_url via ChatAnthropic since esperanto's to_langchain drops
it. Connection-test and model discovery mirror the openai_compatible siblings,
including DNS-rebinding pinning (prepare_pinned_http_target). A single shared
validator enforces the base_url + api_key requirement on both the create and
update paths.

Co-authored-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com>
Co-authored-by: Luis Novo <lfnovo@gmail.com>
2026-07-19 15:14:17 -03:00

597 lines
22 KiB
Python

"""Tests for the credentials API endpoint."""
from unittest.mock import AsyncMock, patch
import httpx
import pytest
from fastapi.testclient import TestClient
from api import credentials_service
@pytest.fixture
def client():
"""Create test client after environment variables have been cleared by conftest."""
from api.main import app
return TestClient(app)
class TestCredentialCascadeDelete:
"""Tests for #651 - deleting credential cascade-deletes linked models."""
@pytest.mark.asyncio
@patch("api.routers.credentials.Credential.get")
async def test_cascade_delete_linked_models(self, mock_get, client):
"""Deleting credential without options cascade-deletes linked models."""
mock_model1 = AsyncMock()
mock_model1.id = "model:1"
mock_model1.provider = "openai"
mock_model1.name = "gpt-4"
mock_model2 = AsyncMock()
mock_model2.id = "model:2"
mock_model2.provider = "openai"
mock_model2.name = "gpt-3.5-turbo"
mock_cred = AsyncMock()
mock_cred.get_linked_models = AsyncMock(
return_value=[mock_model1, mock_model2]
)
mock_cred.delete = AsyncMock()
mock_get.return_value = mock_cred
response = client.delete("/api/credentials/cred:123")
assert response.status_code == 200
data = response.json()
assert data["deleted_models"] == 2
assert data["message"] == "Credential deleted successfully"
mock_model1.delete.assert_awaited_once()
mock_model2.delete.assert_awaited_once()
mock_cred.delete.assert_awaited_once()
@pytest.mark.asyncio
@patch("api.routers.credentials.Credential.get")
async def test_delete_credential_no_linked_models(self, mock_get, client):
"""Deleting credential with no linked models works cleanly."""
mock_cred = AsyncMock()
mock_cred.get_linked_models = AsyncMock(return_value=[])
mock_cred.delete = AsyncMock()
mock_get.return_value = mock_cred
response = client.delete("/api/credentials/cred:123")
assert response.status_code == 200
data = response.json()
assert data["deleted_models"] == 0
mock_cred.delete.assert_awaited_once()
@pytest.mark.asyncio
@patch("api.routers.credentials.Credential.get")
async def test_migrate_models_instead_of_delete(self, mock_get, client):
"""Passing migrate_to reassigns models instead of deleting them."""
mock_model = AsyncMock()
mock_model.id = "model:1"
mock_model.credential = "cred:123"
mock_model.save = AsyncMock()
mock_cred = AsyncMock()
mock_cred.get_linked_models = AsyncMock(return_value=[mock_model])
mock_cred.delete = AsyncMock()
mock_target_cred = AsyncMock()
mock_target_cred.id = "cred:456"
# First call returns cred to delete, second returns target
mock_get.side_effect = [mock_cred, mock_target_cred]
response = client.delete(
"/api/credentials/cred:123?migrate_to=cred:456"
)
assert response.status_code == 200
data = response.json()
assert data["deleted_models"] == 0 # Models were migrated, not deleted
mock_model.save.assert_awaited_once()
assert mock_model.credential == "cred:456"
mock_cred.delete.assert_awaited_once()
class TestCredentialModelDiscovery:
"""Tests for credential-backed model discovery."""
@pytest.mark.asyncio
async def test_openai_discovery_respects_base_url(self, monkeypatch):
"""OpenAI model discovery should call the configured API base URL."""
from open_notebook.utils.url_validation import PinnedHttpTarget
requests = []
class FakeAsyncClient:
async def __aenter__(self):
return self
async def __aexit__(self, exc_type, exc, tb):
return None
async def get(self, url, headers=None, timeout=None, extensions=None):
requests.append(
{
"url": url,
"headers": headers,
"timeout": timeout,
}
)
return httpx.Response(
200,
json={"data": [{"id": "custom-openai-model"}]},
request=httpx.Request("GET", url, headers=headers or {}),
)
async def fake_prepare_pinned(url, provider):
return PinnedHttpTarget(url=url)
monkeypatch.setattr(credentials_service.httpx, "AsyncClient", FakeAsyncClient)
monkeypatch.setattr(
credentials_service, "prepare_pinned_http_target", fake_prepare_pinned
)
models = await credentials_service.discover_with_config(
"openai",
{
"api_key": "sk-test",
"base_url": "https://llm-gateway.example.com/v1",
},
)
assert models == [
{
"name": "custom-openai-model",
"provider": "openai",
"description": None,
}
]
assert requests == [
{
"url": "https://llm-gateway.example.com/v1/models",
"headers": {"Authorization": "Bearer sk-test"},
"timeout": 30.0,
}
]
@pytest.mark.asyncio
async def test_model_discovery_base_url_can_include_models_path(self, monkeypatch):
"""Model discovery should not append /models twice."""
from open_notebook.utils.url_validation import PinnedHttpTarget
requests = []
class FakeAsyncClient:
async def __aenter__(self):
return self
async def __aexit__(self, exc_type, exc, tb):
return None
async def get(self, url, headers=None, timeout=None, extensions=None):
requests.append(url)
return httpx.Response(
200,
json={"data": [{"id": "model-a"}]},
request=httpx.Request("GET", url, headers=headers or {}),
)
async def fake_prepare_pinned(url, provider):
return PinnedHttpTarget(url=url)
monkeypatch.setattr(credentials_service.httpx, "AsyncClient", FakeAsyncClient)
monkeypatch.setattr(
credentials_service, "prepare_pinned_http_target", fake_prepare_pinned
)
await credentials_service.discover_with_config(
"openai_compatible",
{
"api_key": "sk-test",
"base_url": "https://llm-gateway.example.com/v1/models/",
},
)
assert requests == ["https://llm-gateway.example.com/v1/models"]
@pytest.mark.asyncio
async def test_anthropic_compatible_discovery_normalizes_models_path(
self, monkeypatch
):
from open_notebook.utils.url_validation import PinnedHttpTarget
requests = []
class FakeAsyncClient:
async def __aenter__(self):
return self
async def __aexit__(self, exc_type, exc, tb):
return None
async def get(self, url, headers=None, timeout=None, extensions=None):
requests.append((url, headers))
return httpx.Response(
200,
json={"data": [{"id": "model-a"}]},
request=httpx.Request("GET", url, headers=headers or {}),
)
async def fake_prepare_pinned(url, provider):
return PinnedHttpTarget(url=url)
monkeypatch.setattr(credentials_service.httpx, "AsyncClient", FakeAsyncClient)
monkeypatch.setattr(
credentials_service, "prepare_pinned_http_target", fake_prepare_pinned
)
await credentials_service.discover_with_config(
"anthropic_compatible",
{
"api_key": "sk-test",
"base_url": "https://llm-gateway.example.com/models",
},
)
assert requests == [
(
"https://llm-gateway.example.com/v1/models",
{"x-api-key": "sk-test", "anthropic-version": "2023-06-01"},
)
]
@pytest.mark.asyncio
async def test_openai_discovery_pins_user_supplied_base_url(self, monkeypatch):
"""OpenAI discovery with a custom base_url must go through DNS pinning:
the rewritten (IP) URL, Host header and SNI extension reach httpx."""
from open_notebook.utils.url_validation import PinnedHttpTarget
captured = {}
class FakeAsyncClient:
async def __aenter__(self):
return self
async def __aexit__(self, exc_type, exc, tb):
return None
async def get(self, url, headers=None, timeout=None, extensions=None):
captured["url"] = url
captured["headers"] = headers
captured["extensions"] = extensions
return httpx.Response(
200,
json={"data": [{"id": "model-a"}]},
request=httpx.Request("GET", url, headers=headers or {}),
)
pinned_calls = []
async def fake_prepare_pinned(url, provider):
pinned_calls.append((url, provider))
return PinnedHttpTarget(
url="https://93.184.216.34/v1/models",
headers={"Host": "llm-gateway.example.com"},
extensions={"sni_hostname": "llm-gateway.example.com"},
)
monkeypatch.setattr(credentials_service.httpx, "AsyncClient", FakeAsyncClient)
monkeypatch.setattr(
credentials_service, "prepare_pinned_http_target", fake_prepare_pinned
)
await credentials_service.discover_with_config(
"openai",
{
"api_key": "sk-test",
"base_url": "https://llm-gateway.example.com/v1",
},
)
# The user-supplied URL was pinned...
assert pinned_calls == [("https://llm-gateway.example.com/v1/models", "openai")]
# ...and the pinned IP URL + Host header + SNI extension reached httpx,
# alongside the auth header.
assert captured["url"] == "https://93.184.216.34/v1/models"
assert captured["headers"] == {
"Authorization": "Bearer sk-test",
"Host": "llm-gateway.example.com",
}
assert captured["extensions"] == {"sni_hostname": "llm-gateway.example.com"}
class TestOmlxDiscovery:
"""oMLX uses OpenAI-compatible /v1/models with an optional API key."""
@pytest.mark.asyncio
async def test_omlx_discovery_defaults_base_url_and_pins(self, monkeypatch):
from open_notebook.utils.url_validation import PinnedHttpTarget
captured = {}
pinned_calls = []
class FakeAsyncClient:
async def __aenter__(self):
return self
async def __aexit__(self, exc_type, exc, tb):
return None
async def get(self, url, headers=None, timeout=None, extensions=None):
captured["url"] = url
captured["headers"] = headers
return httpx.Response(
200,
json={"data": [{"id": "mlx-model"}]},
request=httpx.Request("GET", url, headers=headers or {}),
)
async def fake_prepare_pinned(url, provider):
pinned_calls.append((url, provider))
return PinnedHttpTarget(url=url)
monkeypatch.setattr(credentials_service.httpx, "AsyncClient", FakeAsyncClient)
monkeypatch.setattr(
credentials_service, "prepare_pinned_http_target", fake_prepare_pinned
)
models = await credentials_service.discover_with_config("omlx", {})
assert models == [{"name": "mlx-model", "provider": "omlx"}]
assert pinned_calls == [("http://localhost:11435/v1/models", "omlx")]
assert captured["url"] == "http://localhost:11435/v1/models"
assert "Authorization" not in (captured["headers"] or {})
@pytest.mark.asyncio
async def test_omlx_discovery_sends_optional_api_key(self, monkeypatch):
from open_notebook.utils.url_validation import PinnedHttpTarget
captured = {}
class FakeAsyncClient:
async def __aenter__(self):
return self
async def __aexit__(self, exc_type, exc, tb):
return None
async def get(self, url, headers=None, timeout=None, extensions=None):
captured["headers"] = headers
return httpx.Response(
200,
json={"data": [{"id": "mlx-model"}]},
request=httpx.Request("GET", url, headers=headers or {}),
)
async def fake_prepare_pinned(url, provider):
return PinnedHttpTarget(url=url)
monkeypatch.setattr(credentials_service.httpx, "AsyncClient", FakeAsyncClient)
monkeypatch.setattr(
credentials_service, "prepare_pinned_http_target", fake_prepare_pinned
)
await credentials_service.discover_with_config(
"omlx",
{
"api_key": "secret",
"base_url": "http://127.0.0.1:11435/v1",
},
)
assert captured["headers"]["Authorization"] == "Bearer secret"
def test_omlx_registry_modalities_and_env(self):
from api.credentials_service import PROVIDER_ENV_CONFIG, PROVIDER_MODALITIES
from open_notebook.ai.connection_tester import TEST_MODELS
assert PROVIDER_MODALITIES["omlx"] == ["language", "embedding"]
assert PROVIDER_ENV_CONFIG["omlx"]["required"] == ["OMLX_API_BASE"]
assert PROVIDER_ENV_CONFIG["omlx"]["optional"] == ["OMLX_API_KEY"]
assert TEST_MODELS["omlx"] == (None, "language")
class TestCredentialNumCtx:
"""Tests for the Ollama num_ctx override threaded into esperanto config."""
def test_num_ctx_included_when_set(self):
from open_notebook.domain.credential import Credential
cred = Credential(
name="Local Ollama",
provider="ollama",
modalities=["language", "embedding"],
base_url="http://localhost:11434",
num_ctx=32768,
)
config = cred.to_esperanto_config()
assert config["num_ctx"] == 32768
assert config["base_url"] == "http://localhost:11434"
def test_num_ctx_absent_when_unset(self):
from open_notebook.domain.credential import Credential
cred = Credential(
name="Local Ollama",
provider="ollama",
base_url="http://localhost:11434",
)
assert "num_ctx" not in cred.to_esperanto_config()
class TestCredentialVertexConfig:
"""Tests for #1151 - Vertex credentials must emit vertex_project/vertex_location."""
def test_vertex_emits_vertex_prefixed_keys(self):
from open_notebook.domain.credential import Credential
cred = Credential(
name="Vertex",
provider="vertex",
modalities=["text_to_speech"],
project="my-gcp-project",
location="us-central1",
credentials_path="/secrets/sa.json",
)
config = cred.to_esperanto_config()
# esperanto's Vertex providers accept vertex_project/vertex_location
assert config["vertex_project"] == "my-gcp-project"
assert config["vertex_location"] == "us-central1"
# The generic keys must NOT be emitted for vertex
assert "project" not in config
assert "location" not in config
# credentials_path is passed through unchanged
assert config["credentials_path"] == "/secrets/sa.json"
def test_non_vertex_provider_keeps_generic_keys(self):
from open_notebook.domain.credential import Credential
cred = Credential(
name="Other",
provider="openai",
project="my-project",
location="us-central1",
)
config = cred.to_esperanto_config()
assert config["project"] == "my-project"
assert config["location"] == "us-central1"
assert "vertex_project" not in config
assert "vertex_location" not in config
class TestAudioProviderWiring:
"""Tests for the new audio providers (Mistral STT/TTS, Deepgram TTS, xAI TTS)."""
def test_classify_voxtral_and_aura(self):
from open_notebook.ai.model_discovery import classify_model_type
# Mistral Voxtral: TTS model must not be mis-detected as STT
assert classify_model_type("voxtral-mini-tts-2603", "mistral") == "text_to_speech"
assert classify_model_type("voxtral-mini-latest", "mistral") == "speech_to_text"
assert classify_model_type("voxtral-small-latest", "mistral") == "speech_to_text"
# Existing Mistral classification still holds
assert classify_model_type("mistral-large-latest", "mistral") == "language"
assert classify_model_type("mistral-embed", "mistral") == "embedding"
# Deepgram Aura voices
assert classify_model_type("aura-2-thalia-en", "deepgram") == "text_to_speech"
def test_provider_modalities_include_audio(self):
from api.credentials_service import PROVIDER_MODALITIES
assert "speech_to_text" in PROVIDER_MODALITIES["mistral"]
assert "text_to_speech" in PROVIDER_MODALITIES["mistral"]
assert "text_to_speech" in PROVIDER_MODALITIES["xai"]
# Deepgram now also does STT (Nova/Whisper), added alongside TTS.
assert PROVIDER_MODALITIES["deepgram"] == ["text_to_speech", "speech_to_text"]
# OpenRouter added TTS/STT in esperanto 2.25.0 (issue #987).
assert "speech_to_text" in PROVIDER_MODALITIES["openrouter"]
assert "text_to_speech" in PROVIDER_MODALITIES["openrouter"]
def test_deepgram_has_env_and_test_model(self):
from api.credentials_service import PROVIDER_ENV_CONFIG
from open_notebook.ai.connection_tester import TEST_MODELS
assert PROVIDER_ENV_CONFIG["deepgram"]["required"] == ["DEEPGRAM_API_KEY"]
assert TEST_MODELS["deepgram"][1] == "text_to_speech"
class TestAudioMatrixWiring:
"""Tests for completing the audio matrix (Google/Vertex TTS, Google/ElevenLabs STT)."""
def test_provider_modalities_matrix(self):
from api.credentials_service import PROVIDER_MODALITIES
for m in ("speech_to_text", "text_to_speech"):
assert m in PROVIDER_MODALITIES["google"]
assert "text_to_speech" in PROVIDER_MODALITIES["vertex"]
assert "speech_to_text" in PROVIDER_MODALITIES["elevenlabs"]
def test_classify_matrix(self):
from open_notebook.ai.model_discovery import classify_model_type
# Gemini TTS preview is classifiable; plain Gemini STT name stays language
assert classify_model_type("gemini-3.1-flash-tts-preview", "google") == "text_to_speech"
assert classify_model_type("gemini-2.5-flash", "google") == "language"
# ElevenLabs Scribe STT must not be caught by the TTS "eleven" pattern
assert classify_model_type("scribe_v1", "elevenlabs") == "speech_to_text"
assert classify_model_type("eleven_multilingual_v2", "elevenlabs") == "text_to_speech"
def test_google_and_vertex_use_floating_alias(self):
# Regression test for #970: the connection test used a hard-coded
# Gemini id (gemini-2.0-flash) that Google later shut down, so a
# valid key failed with 404. Use Google's floating alias, which the
# provider repoints on each retirement, so it can't go stale.
from open_notebook.ai.connection_tester import TEST_MODELS
assert TEST_MODELS["google"] == ("gemini-flash-latest", "language")
assert TEST_MODELS["vertex"] == ("gemini-flash-latest", "language")
if __name__ == "__main__":
pytest.main([__file__, "-v"])
class TestCredentialUpdateClearsFields:
"""PUT /credentials/{id} must distinguish 'field absent' (keep) from
'field explicitly null/empty' (clear).
The handler used `is not None` guards, so an explicit null sent to clear
base_url (or the Vertex project/location/credentials_path) was silently
ignored — the old value survived while the client saw success. Found in
v1.11 release testing: an Ollama credential kept pointing at a stale IP
after the user cleared the field. Now keyed on model_fields_set.
"""
def _mock_cred(self):
from unittest.mock import MagicMock
cred = MagicMock()
cred.base_url = "http://10.0.0.99:11434"
cred.credentials_path = "/old/path.json"
cred.save = AsyncMock()
cred.get_linked_models = AsyncMock(return_value=[])
return cred
def _put(self, client, cred, body):
from api.models import CredentialResponse
fake_response = CredentialResponse(
id="credential:1", name="n", provider="ollama", modalities=["language"],
has_api_key=False, created="2026-01-01", updated="2026-01-01", model_count=0,
)
with patch("api.routers.credentials.require_encryption_key"), \
patch("api.routers.credentials.Credential.get", new=AsyncMock(return_value=cred)), \
patch("api.routers.credentials.credential_to_response", return_value=fake_response):
return client.put("/api/credentials/credential:1", json=body)
def test_explicit_null_clears_base_url(self, client):
cred = self._mock_cred()
response = self._put(client, cred, {"base_url": None})
assert response.status_code == 200
assert cred.base_url is None
cred.save.assert_awaited_once()
def test_empty_string_clears_base_url(self, client):
cred = self._mock_cred()
response = self._put(client, cred, {"base_url": ""})
assert response.status_code == 200
assert cred.base_url is None
def test_absent_field_keeps_old_value(self, client):
cred = self._mock_cred()
response = self._put(client, cred, {"name": "renamed"})
assert response.status_code == 200
assert cred.base_url == "http://10.0.0.99:11434"
def test_null_clears_vertex_credentials_path(self, client):
cred = self._mock_cred()
response = self._put(client, cred, {"credentials_path": None})
assert response.status_code == 200
assert cred.credentials_path is None