mirror of
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706 lines
28 KiB
Python
706 lines
28 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import json
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from unittest.mock import AsyncMock, MagicMock, Mock, PropertyMock, patch
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import pytest
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from pydantic import BaseModel, Field
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from llama_stack.apis.inference import Model, OpenAIUserMessageParam
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from llama_stack.apis.models import ModelType
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from llama_stack.core.request_headers import request_provider_data_context
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from llama_stack.providers.utils.inference.openai_mixin import OpenAIMixin
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class OpenAIMixinImpl(OpenAIMixin):
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__provider_id__: str = "test-provider"
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def get_api_key(self) -> str:
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raise NotImplementedError("This method should be mocked in tests")
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def get_base_url(self) -> str:
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raise NotImplementedError("This method should be mocked in tests")
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class OpenAIMixinWithEmbeddingsImpl(OpenAIMixinImpl):
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"""Test implementation with embedding model metadata"""
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embedding_model_metadata = {
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"text-embedding-3-small": {"embedding_dimension": 1536, "context_length": 8192},
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"text-embedding-ada-002": {"embedding_dimension": 1536, "context_length": 8192},
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}
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class OpenAIMixinWithRerankImpl(OpenAIMixin):
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"""Test implementation with rerank model list"""
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rerank_model_list = ["rerank-model-1", "rerank-model-2"]
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def __init__(self):
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self.__provider_id__ = "test-provider"
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def get_api_key(self) -> str:
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raise NotImplementedError("This method should be mocked in tests")
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def get_base_url(self) -> str:
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raise NotImplementedError("This method should be mocked in tests")
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class OpenAIMixinWithEmbeddingsAndRerankImpl(OpenAIMixin):
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"""Test implementation with both embedding model metadata and rerank model list"""
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embedding_model_metadata = {
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"text-embedding-3-small": {"embedding_dimension": 1536, "context_length": 8192},
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"text-embedding-ada-002": {"embedding_dimension": 1536, "context_length": 8192},
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}
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rerank_model_list = ["rerank-model-1", "rerank-model-2"]
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__provider_id__ = "test-provider"
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def get_api_key(self) -> str:
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raise NotImplementedError("This method should be mocked in tests")
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def get_base_url(self) -> str:
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raise NotImplementedError("This method should be mocked in tests")
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@pytest.fixture
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def mixin():
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"""Create a test instance of OpenAIMixin with mocked model_store"""
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mixin_instance = OpenAIMixinImpl()
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# just enough to satisfy _get_provider_model_id calls
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mock_model_store = MagicMock()
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mock_model = MagicMock()
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mock_model.provider_resource_id = "test-provider-resource-id"
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mock_model_store.get_model = AsyncMock(return_value=mock_model)
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mixin_instance.model_store = mock_model_store
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return mixin_instance
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@pytest.fixture
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def mixin_with_embeddings():
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"""Create a test instance of OpenAIMixin with embedding model metadata"""
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return OpenAIMixinWithEmbeddingsImpl()
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@pytest.fixture
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def mixin_with_rerank():
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"""Create a test instance of OpenAIMixin with rerank model list"""
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return OpenAIMixinWithRerankImpl()
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@pytest.fixture
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def mixin_with_embeddings_and_rerank():
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"""Create a test instance of OpenAIMixin with both embedding model metadata and rerank model list"""
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return OpenAIMixinWithEmbeddingsAndRerankImpl()
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@pytest.fixture
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def mock_models():
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"""Create multiple mock OpenAI model objects"""
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models = [MagicMock(id=id) for id in ["some-mock-model-id", "another-mock-model-id", "final-mock-model-id"]]
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return models
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@pytest.fixture
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def mock_client_with_models(mock_models):
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"""Create a mock client with models.list() set up to return mock_models"""
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mock_client = MagicMock()
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async def mock_models_list():
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for model in mock_models:
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yield model
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mock_client.models.list.return_value = mock_models_list()
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return mock_client
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@pytest.fixture
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def mock_client_with_empty_models():
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"""Create a mock client with models.list() set up to return empty list"""
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mock_client = MagicMock()
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async def mock_empty_models_list():
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return
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yield # Make it an async generator but don't yield anything
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mock_client.models.list.return_value = mock_empty_models_list()
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return mock_client
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@pytest.fixture
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def mock_client_with_exception():
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"""Create a mock client with models.list() set up to raise an exception"""
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mock_client = MagicMock()
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mock_client.models.list.side_effect = Exception("API Error")
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return mock_client
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@pytest.fixture
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def mock_client_context():
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"""Fixture that provides a context manager for mocking the OpenAI client"""
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def _mock_client_context(mixin, mock_client):
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return patch.object(type(mixin), "client", new_callable=PropertyMock, return_value=mock_client)
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return _mock_client_context
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def _assert_models_match_expected(actual_models, expected_models):
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"""Verify the models match expected attributes.
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Args:
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actual_models: List of models to verify
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expected_models: Mapping of model identifier to expected attribute values
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"""
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for identifier, expected_attrs in expected_models.items():
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model = next(m for m in actual_models if m.identifier == identifier)
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for attr_name, expected_value in expected_attrs.items():
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assert getattr(model, attr_name) == expected_value
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class TestOpenAIMixinListModels:
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"""Test cases for the list_models method"""
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async def test_list_models_success(self, mixin, mock_client_with_models, mock_client_context):
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"""Test successful model listing"""
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assert len(mixin._model_cache) == 0
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with mock_client_context(mixin, mock_client_with_models):
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result = await mixin.list_models()
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assert result is not None
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assert len(result) == 3
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model_ids = [model.identifier for model in result]
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assert "some-mock-model-id" in model_ids
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assert "another-mock-model-id" in model_ids
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assert "final-mock-model-id" in model_ids
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for model in result:
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assert model.provider_id == "test-provider"
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assert model.model_type == ModelType.llm
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assert model.provider_resource_id == model.identifier
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assert len(mixin._model_cache) == 3
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for model_id in ["some-mock-model-id", "another-mock-model-id", "final-mock-model-id"]:
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assert model_id in mixin._model_cache
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cached_model = mixin._model_cache[model_id]
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assert cached_model.identifier == model_id
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assert cached_model.provider_resource_id == model_id
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async def test_list_models_empty_response(self, mixin, mock_client_with_empty_models, mock_client_context):
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"""Test handling of empty model list"""
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with mock_client_context(mixin, mock_client_with_empty_models):
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result = await mixin.list_models()
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assert result is not None
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assert len(result) == 0
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assert len(mixin._model_cache) == 0
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class TestOpenAIMixinCheckModelAvailability:
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"""Test cases for the check_model_availability method"""
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async def test_check_model_availability_with_cache(self, mixin, mock_client_with_models, mock_client_context):
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"""Test model availability check when cache is populated"""
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with mock_client_context(mixin, mock_client_with_models):
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mock_client_with_models.models.list.assert_not_called()
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await mixin.list_models()
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mock_client_with_models.models.list.assert_called_once()
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assert await mixin.check_model_availability("some-mock-model-id")
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assert await mixin.check_model_availability("another-mock-model-id")
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assert await mixin.check_model_availability("final-mock-model-id")
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assert not await mixin.check_model_availability("non-existent-model")
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mock_client_with_models.models.list.assert_called_once()
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async def test_check_model_availability_without_cache(self, mixin, mock_client_with_models, mock_client_context):
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"""Test model availability check when cache is empty (calls list_models)"""
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assert len(mixin._model_cache) == 0
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with mock_client_context(mixin, mock_client_with_models):
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mock_client_with_models.models.list.assert_not_called()
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assert await mixin.check_model_availability("some-mock-model-id")
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mock_client_with_models.models.list.assert_called_once()
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assert len(mixin._model_cache) == 3
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assert "some-mock-model-id" in mixin._model_cache
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async def test_check_model_availability_model_not_found(self, mixin, mock_client_with_models, mock_client_context):
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"""Test model availability check for non-existent model"""
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with mock_client_context(mixin, mock_client_with_models):
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mock_client_with_models.models.list.assert_not_called()
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assert not await mixin.check_model_availability("non-existent-model")
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mock_client_with_models.models.list.assert_called_once()
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assert len(mixin._model_cache) == 3
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class TestOpenAIMixinCacheBehavior:
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"""Test cases for cache behavior and edge cases"""
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async def test_cache_overwrites_on_list_models_call(self, mixin, mock_client_with_models, mock_client_context):
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"""Test that calling list_models overwrites existing cache"""
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initial_model = Model(
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provider_id="test-provider",
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provider_resource_id="old-model",
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identifier="old-model",
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model_type=ModelType.llm,
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)
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mixin._model_cache = {"old-model": initial_model}
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with mock_client_context(mixin, mock_client_with_models):
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await mixin.list_models()
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assert len(mixin._model_cache) == 3
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assert "old-model" not in mixin._model_cache
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assert "some-mock-model-id" in mixin._model_cache
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assert "another-mock-model-id" in mixin._model_cache
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assert "final-mock-model-id" in mixin._model_cache
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class TestOpenAIMixinImagePreprocessing:
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"""Test cases for image preprocessing functionality"""
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async def test_openai_chat_completion_with_image_preprocessing_enabled(self, mixin):
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"""Test that image URLs are converted to base64 when download_images is True"""
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mixin.download_images = True
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message = OpenAIUserMessageParam(
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role="user",
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content=[
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{"type": "text", "text": "What's in this image?"},
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{"type": "image_url", "image_url": {"url": "http://example.com/image.jpg"}},
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],
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)
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mock_client = MagicMock()
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mock_response = MagicMock()
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mock_client.chat.completions.create = AsyncMock(return_value=mock_response)
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with patch.object(type(mixin), "client", new_callable=PropertyMock, return_value=mock_client):
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with patch("llama_stack.providers.utils.inference.openai_mixin.localize_image_content") as mock_localize:
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mock_localize.return_value = (b"fake_image_data", "jpeg")
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await mixin.openai_chat_completion(model="test-model", messages=[message])
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mock_localize.assert_called_once_with("http://example.com/image.jpg")
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mock_client.chat.completions.create.assert_called_once()
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call_args = mock_client.chat.completions.create.call_args
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processed_messages = call_args[1]["messages"]
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assert len(processed_messages) == 1
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content = processed_messages[0]["content"]
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assert len(content) == 2
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assert content[0]["type"] == "text"
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assert content[1]["type"] == "image_url"
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assert content[1]["image_url"]["url"] == "data:image/jpeg;base64,ZmFrZV9pbWFnZV9kYXRh"
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async def test_openai_chat_completion_with_image_preprocessing_disabled(self, mixin):
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"""Test that image URLs are not modified when download_images is False"""
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mixin.download_images = False # explicitly set to False
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message = OpenAIUserMessageParam(
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role="user",
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content=[
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{"type": "text", "text": "What's in this image?"},
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{"type": "image_url", "image_url": {"url": "http://example.com/image.jpg"}},
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],
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)
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mock_client = MagicMock()
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mock_response = MagicMock()
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mock_client.chat.completions.create = AsyncMock(return_value=mock_response)
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with patch.object(type(mixin), "client", new_callable=PropertyMock, return_value=mock_client):
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with patch("llama_stack.providers.utils.inference.openai_mixin.localize_image_content") as mock_localize:
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await mixin.openai_chat_completion(model="test-model", messages=[message])
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mock_localize.assert_not_called()
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mock_client.chat.completions.create.assert_called_once()
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call_args = mock_client.chat.completions.create.call_args
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processed_messages = call_args[1]["messages"]
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assert len(processed_messages) == 1
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content = processed_messages[0]["content"]
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assert len(content) == 2
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assert content[1]["image_url"]["url"] == "http://example.com/image.jpg"
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class TestOpenAIMixinEmbeddingModelMetadata:
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"""Test cases for embedding_model_metadata attribute functionality"""
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async def test_embedding_model_identified_and_augmented(self, mixin_with_embeddings, mock_client_context):
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"""Test that models in embedding_model_metadata are correctly identified as embeddings with metadata"""
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# Create mock models: 1 embedding model and 1 LLM, while there are 2 known embedding models
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mock_embedding_model = MagicMock(id="text-embedding-3-small")
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mock_llm_model = MagicMock(id="gpt-4")
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mock_models = [mock_embedding_model, mock_llm_model]
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mock_client = MagicMock()
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async def mock_models_list():
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for model in mock_models:
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yield model
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mock_client.models.list.return_value = mock_models_list()
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with mock_client_context(mixin_with_embeddings, mock_client):
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result = await mixin_with_embeddings.list_models()
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assert result is not None
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assert len(result) == 2
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expected_models = {
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"text-embedding-3-small": {
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"model_type": ModelType.embedding,
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"metadata": {"embedding_dimension": 1536, "context_length": 8192},
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"provider_id": "test-provider",
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"provider_resource_id": "text-embedding-3-small",
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},
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"gpt-4": {
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"model_type": ModelType.llm,
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"metadata": {},
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"provider_id": "test-provider",
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"provider_resource_id": "gpt-4",
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},
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}
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_assert_models_match_expected(result, expected_models)
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class TestOpenAIMixinRerankModelList:
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"""Test cases for rerank_model_list attribute functionality"""
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async def test_rerank_model_identified(self, mixin_with_rerank, mock_client_context):
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"""Test that models in rerank_model_list are correctly identified as rerank models"""
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# Create mock models: 1 rerank model and 1 LLM
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mock_rerank_model = MagicMock(id="rerank-model-1")
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mock_llm_model = MagicMock(id="gpt-4")
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mock_models = [mock_rerank_model, mock_llm_model]
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mock_client = MagicMock()
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async def mock_models_list():
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for model in mock_models:
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yield model
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mock_client.models.list.return_value = mock_models_list()
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with mock_client_context(mixin_with_rerank, mock_client):
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result = await mixin_with_rerank.list_models()
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assert result is not None
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assert len(result) == 2
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expected_models = {
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"rerank-model-1": {
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"model_type": ModelType.rerank,
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"metadata": {},
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"provider_id": "test-provider",
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"provider_resource_id": "rerank-model-1",
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},
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"gpt-4": {
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"model_type": ModelType.llm,
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"metadata": {},
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"provider_id": "test-provider",
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"provider_resource_id": "gpt-4",
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},
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}
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_assert_models_match_expected(result, expected_models)
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class TestOpenAIMixinMixedModelTypes:
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"""Test cases for mixed model types (LLM, embedding, rerank)"""
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async def test_mixed_model_types_identification(self, mixin_with_embeddings_and_rerank, mock_client_context):
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"""Test that LLM, embedding, and rerank models are correctly identified with proper types and metadata"""
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# Create mock models: 1 embedding, 1 rerank, 1 LLM
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mock_embedding_model = MagicMock(id="text-embedding-3-small")
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mock_rerank_model = MagicMock(id="rerank-model-1")
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mock_llm_model = MagicMock(id="gpt-4")
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mock_models = [mock_embedding_model, mock_rerank_model, mock_llm_model]
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mock_client = MagicMock()
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async def mock_models_list():
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for model in mock_models:
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yield model
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mock_client.models.list.return_value = mock_models_list()
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with mock_client_context(mixin_with_embeddings_and_rerank, mock_client):
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result = await mixin_with_embeddings_and_rerank.list_models()
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assert result is not None
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assert len(result) == 3
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expected_models = {
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"text-embedding-3-small": {
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"model_type": ModelType.embedding,
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"metadata": {"embedding_dimension": 1536, "context_length": 8192},
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"provider_id": "test-provider",
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"provider_resource_id": "text-embedding-3-small",
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},
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"rerank-model-1": {
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"model_type": ModelType.rerank,
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"metadata": {},
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"provider_id": "test-provider",
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"provider_resource_id": "rerank-model-1",
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},
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"gpt-4": {
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"model_type": ModelType.llm,
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"metadata": {},
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"provider_id": "test-provider",
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"provider_resource_id": "gpt-4",
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},
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}
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_assert_models_match_expected(result, expected_models)
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class TestOpenAIMixinAllowedModels:
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"""Test cases for allowed_models filtering functionality"""
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async def test_list_models_with_allowed_models_filter(self, mixin, mock_client_with_models, mock_client_context):
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"""Test that list_models filters models based on allowed_models set"""
|
|
mixin.allowed_models = {"some-mock-model-id", "another-mock-model-id"}
|
|
|
|
with mock_client_context(mixin, mock_client_with_models):
|
|
result = await mixin.list_models()
|
|
|
|
assert result is not None
|
|
assert len(result) == 2
|
|
|
|
model_ids = [model.identifier for model in result]
|
|
assert "some-mock-model-id" in model_ids
|
|
assert "another-mock-model-id" in model_ids
|
|
assert "final-mock-model-id" not in model_ids
|
|
|
|
async def test_list_models_with_empty_allowed_models(self, mixin, mock_client_with_models, mock_client_context):
|
|
"""Test that empty allowed_models set allows all models"""
|
|
assert len(mixin.allowed_models) == 0
|
|
|
|
with mock_client_context(mixin, mock_client_with_models):
|
|
result = await mixin.list_models()
|
|
|
|
assert result is not None
|
|
assert len(result) == 3 # All models should be included
|
|
|
|
model_ids = [model.identifier for model in result]
|
|
assert "some-mock-model-id" in model_ids
|
|
assert "another-mock-model-id" in model_ids
|
|
assert "final-mock-model-id" in model_ids
|
|
|
|
async def test_check_model_availability_with_allowed_models(
|
|
self, mixin, mock_client_with_models, mock_client_context
|
|
):
|
|
"""Test that check_model_availability respects allowed_models"""
|
|
mixin.allowed_models = {"final-mock-model-id"}
|
|
|
|
with mock_client_context(mixin, mock_client_with_models):
|
|
assert await mixin.check_model_availability("final-mock-model-id")
|
|
assert not await mixin.check_model_availability("some-mock-model-id")
|
|
assert not await mixin.check_model_availability("another-mock-model-id")
|
|
|
|
|
|
class TestOpenAIMixinModelRegistration:
|
|
"""Test cases for model registration functionality"""
|
|
|
|
async def test_register_model_success(self, mixin, mock_client_with_models, mock_client_context):
|
|
"""Test successful model registration when model is available"""
|
|
model = Model(
|
|
provider_id="test-provider",
|
|
provider_resource_id="some-mock-model-id",
|
|
identifier="test-model",
|
|
model_type=ModelType.llm,
|
|
)
|
|
|
|
with mock_client_context(mixin, mock_client_with_models):
|
|
result = await mixin.register_model(model)
|
|
|
|
assert result == model
|
|
assert result.provider_id == "test-provider"
|
|
assert result.provider_resource_id == "some-mock-model-id"
|
|
assert result.identifier == "test-model"
|
|
assert result.model_type == ModelType.llm
|
|
mock_client_with_models.models.list.assert_called_once()
|
|
|
|
async def test_register_model_not_available(self, mixin, mock_client_with_models, mock_client_context):
|
|
"""Test model registration failure when model is not available from provider"""
|
|
model = Model(
|
|
provider_id="test-provider",
|
|
provider_resource_id="non-existent-model",
|
|
identifier="test-model",
|
|
model_type=ModelType.llm,
|
|
)
|
|
|
|
with mock_client_context(mixin, mock_client_with_models):
|
|
with pytest.raises(
|
|
ValueError, match="Model non-existent-model is not available from provider test-provider"
|
|
):
|
|
await mixin.register_model(model)
|
|
mock_client_with_models.models.list.assert_called_once()
|
|
|
|
async def test_register_model_with_allowed_models_filter(self, mixin, mock_client_with_models, mock_client_context):
|
|
"""Test model registration with allowed_models filtering"""
|
|
mixin.allowed_models = {"some-mock-model-id"}
|
|
|
|
# Test with allowed model
|
|
allowed_model = Model(
|
|
provider_id="test-provider",
|
|
provider_resource_id="some-mock-model-id",
|
|
identifier="allowed-model",
|
|
model_type=ModelType.llm,
|
|
)
|
|
|
|
# Test with disallowed model
|
|
disallowed_model = Model(
|
|
provider_id="test-provider",
|
|
provider_resource_id="final-mock-model-id",
|
|
identifier="disallowed-model",
|
|
model_type=ModelType.llm,
|
|
)
|
|
|
|
with mock_client_context(mixin, mock_client_with_models):
|
|
result = await mixin.register_model(allowed_model)
|
|
assert result == allowed_model
|
|
with pytest.raises(
|
|
ValueError, match="Model final-mock-model-id is not available from provider test-provider"
|
|
):
|
|
await mixin.register_model(disallowed_model)
|
|
mock_client_with_models.models.list.assert_called_once()
|
|
|
|
async def test_register_embedding_model(self, mixin_with_embeddings, mock_client_context):
|
|
"""Test registration of embedding models with metadata"""
|
|
mock_embedding_model = MagicMock(id="text-embedding-3-small")
|
|
mock_models = [mock_embedding_model]
|
|
|
|
mock_client = MagicMock()
|
|
|
|
async def mock_models_list():
|
|
for model in mock_models:
|
|
yield model
|
|
|
|
mock_client.models.list.return_value = mock_models_list()
|
|
|
|
embedding_model = Model(
|
|
provider_id="test-provider",
|
|
provider_resource_id="text-embedding-3-small",
|
|
identifier="embedding-test",
|
|
model_type=ModelType.embedding,
|
|
)
|
|
|
|
with mock_client_context(mixin_with_embeddings, mock_client):
|
|
result = await mixin_with_embeddings.register_model(embedding_model)
|
|
assert result == embedding_model
|
|
assert result.model_type == ModelType.embedding
|
|
|
|
async def test_unregister_model(self, mixin):
|
|
"""Test model unregistration (should be no-op)"""
|
|
# unregister_model should not raise any exceptions and return None
|
|
result = await mixin.unregister_model("any-model-id")
|
|
assert result is None
|
|
|
|
async def test_should_refresh_models(self, mixin):
|
|
"""Test should_refresh_models method (should always return False)"""
|
|
result = await mixin.should_refresh_models()
|
|
assert result is False
|
|
|
|
async def test_register_model_error_propagation(self, mixin, mock_client_with_exception, mock_client_context):
|
|
"""Test that errors from provider API are properly propagated during registration"""
|
|
model = Model(
|
|
provider_id="test-provider",
|
|
provider_resource_id="some-model",
|
|
identifier="test-model",
|
|
model_type=ModelType.llm,
|
|
)
|
|
|
|
with mock_client_context(mixin, mock_client_with_exception):
|
|
# The exception from the API should be propagated
|
|
with pytest.raises(Exception, match="API Error"):
|
|
await mixin.register_model(model)
|
|
|
|
|
|
class ProviderDataValidator(BaseModel):
|
|
"""Validator for provider data in tests"""
|
|
|
|
test_api_key: str | None = Field(default=None)
|
|
|
|
|
|
class OpenAIMixinWithProviderData(OpenAIMixinImpl):
|
|
"""Test implementation that supports provider data API key field"""
|
|
|
|
provider_data_api_key_field: str = "test_api_key"
|
|
|
|
def get_api_key(self) -> str:
|
|
return "default-api-key"
|
|
|
|
def get_base_url(self):
|
|
return "default-base-url"
|
|
|
|
|
|
class TestOpenAIMixinProviderDataApiKey:
|
|
"""Test cases for provider_data_api_key_field functionality"""
|
|
|
|
@pytest.fixture
|
|
def mixin_with_provider_data_field(self):
|
|
"""Mixin instance with provider_data_api_key_field set"""
|
|
mixin_instance = OpenAIMixinWithProviderData()
|
|
|
|
# Mock provider_spec for provider data validation
|
|
mock_provider_spec = MagicMock()
|
|
mock_provider_spec.provider_type = "test-provider-with-data"
|
|
mock_provider_spec.provider_data_validator = (
|
|
"tests.unit.providers.utils.inference.test_openai_mixin.ProviderDataValidator"
|
|
)
|
|
mixin_instance.__provider_spec__ = mock_provider_spec
|
|
|
|
return mixin_instance
|
|
|
|
@pytest.fixture
|
|
def mixin_with_provider_data_field_and_none_api_key(self, mixin_with_provider_data_field):
|
|
mixin_with_provider_data_field.get_api_key = Mock(return_value=None)
|
|
return mixin_with_provider_data_field
|
|
|
|
def test_no_provider_data(self, mixin_with_provider_data_field):
|
|
"""Test that client uses config API key when no provider data is available"""
|
|
assert mixin_with_provider_data_field.client.api_key == "default-api-key"
|
|
|
|
def test_with_provider_data(self, mixin_with_provider_data_field):
|
|
"""Test that provider data API key overrides config API key"""
|
|
with request_provider_data_context(
|
|
{"x-llamastack-provider-data": json.dumps({"test_api_key": "provider-data-key"})}
|
|
):
|
|
assert mixin_with_provider_data_field.client.api_key == "provider-data-key"
|
|
|
|
def test_with_wrong_key(self, mixin_with_provider_data_field):
|
|
"""Test fallback to config when provider data doesn't have the required key"""
|
|
with request_provider_data_context({"x-llamastack-provider-data": json.dumps({"wrong_key": "some-value"})}):
|
|
assert mixin_with_provider_data_field.client.api_key == "default-api-key"
|
|
|
|
def test_error_when_no_config_and_provider_data_has_wrong_key(
|
|
self, mixin_with_provider_data_field_and_none_api_key
|
|
):
|
|
"""Test that ValueError is raised when provider data exists but doesn't have required key"""
|
|
with request_provider_data_context({"x-llamastack-provider-data": json.dumps({"wrong_key": "some-value"})}):
|
|
with pytest.raises(ValueError, match="API key is not set"):
|
|
_ = mixin_with_provider_data_field_and_none_api_key.client
|
|
|
|
def test_error_message_includes_correct_field_names(self, mixin_with_provider_data_field_and_none_api_key):
|
|
"""Test that error message includes correct field name and header information"""
|
|
with pytest.raises(ValueError) as exc_info:
|
|
_ = mixin_with_provider_data_field_and_none_api_key.client
|
|
|
|
error_message = str(exc_info.value)
|
|
assert "test_api_key" in error_message
|
|
assert "x-llamastack-provider-data" in error_message
|