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88 lines
3.6 KiB
Python
88 lines
3.6 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 MagicMock
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import pytest
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from llama_stack.core.request_headers import request_provider_data_context
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from llama_stack.providers.remote.inference.groq.config import GroqConfig
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from llama_stack.providers.remote.inference.groq.groq import GroqInferenceAdapter
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from llama_stack.providers.remote.inference.llama_openai_compat.config import LlamaCompatConfig
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from llama_stack.providers.remote.inference.llama_openai_compat.llama import LlamaCompatInferenceAdapter
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from llama_stack.providers.remote.inference.openai.config import OpenAIConfig
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from llama_stack.providers.remote.inference.openai.openai import OpenAIInferenceAdapter
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from llama_stack.providers.remote.inference.together.config import TogetherImplConfig
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from llama_stack.providers.remote.inference.together.together import TogetherInferenceAdapter
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from llama_stack.providers.remote.inference.watsonx.config import WatsonXConfig
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from llama_stack.providers.remote.inference.watsonx.watsonx import WatsonXInferenceAdapter
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@pytest.mark.parametrize(
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"config_cls,adapter_cls,provider_data_validator",
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[
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(
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GroqConfig,
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GroqInferenceAdapter,
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"llama_stack.providers.remote.inference.groq.config.GroqProviderDataValidator",
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),
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(
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OpenAIConfig,
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OpenAIInferenceAdapter,
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"llama_stack.providers.remote.inference.openai.config.OpenAIProviderDataValidator",
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),
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(
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TogetherImplConfig,
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TogetherInferenceAdapter,
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"llama_stack.providers.remote.inference.together.TogetherProviderDataValidator",
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),
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(
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LlamaCompatConfig,
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LlamaCompatInferenceAdapter,
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"llama_stack.providers.remote.inference.llama_openai_compat.config.LlamaProviderDataValidator",
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),
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],
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)
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def test_openai_provider_data_used(config_cls, adapter_cls, provider_data_validator: str):
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"""Ensure the OpenAI provider does not cache api keys across client requests"""
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inference_adapter = adapter_cls(config=config_cls())
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inference_adapter.__provider_spec__ = MagicMock()
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inference_adapter.__provider_spec__.provider_data_validator = provider_data_validator
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for api_key in ["test1", "test2"]:
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with request_provider_data_context(
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{"x-llamastack-provider-data": json.dumps({inference_adapter.provider_data_api_key_field: api_key})}
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):
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assert inference_adapter.client.api_key == api_key
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@pytest.mark.parametrize(
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"config_cls,adapter_cls,provider_data_validator",
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[
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(
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WatsonXConfig,
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WatsonXInferenceAdapter,
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"llama_stack.providers.remote.inference.watsonx.config.WatsonXProviderDataValidator",
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),
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],
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)
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def test_litellm_provider_data_used(config_cls, adapter_cls, provider_data_validator: str):
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"""Validate data for LiteLLM-based providers. Similar to test_openai_provider_data_used, but without the
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assumption that there is an OpenAI-compatible client object."""
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inference_adapter = adapter_cls(config=config_cls())
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inference_adapter.__provider_spec__ = MagicMock()
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inference_adapter.__provider_spec__.provider_data_validator = provider_data_validator
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for api_key in ["test1", "test2"]:
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with request_provider_data_context(
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{"x-llamastack-provider-data": json.dumps({inference_adapter.provider_data_api_key_field: api_key})}
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):
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assert inference_adapter.get_api_key() == api_key
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