llama-stack-mirror/tests/unit/providers/inference/test_inference_client_caching.py
Matthew Farrellee e1ed152779
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chore: create OpenAIMixin for inference providers with an OpenAI-compat API that need to implement openai_* methods (#2835)
# What does this PR do?

add an `OpenAIMixin` for use by inference providers who remote endpoints
support an OpenAI compatible API.

use is demonstrated by refactoring
- OpenAIInferenceAdapter
- NVIDIAInferenceAdapter (adds embedding support)
- LlamaCompatInferenceAdapter

## Test Plan

existing unit and integration tests
2025-07-23 06:49:40 -04:00

90 lines
4 KiB
Python

# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
import json
from unittest.mock import MagicMock
from llama_stack.distribution.request_headers import request_provider_data_context
from llama_stack.providers.remote.inference.groq.config import GroqConfig
from llama_stack.providers.remote.inference.groq.groq import GroqInferenceAdapter
from llama_stack.providers.remote.inference.llama_openai_compat.config import LlamaCompatConfig
from llama_stack.providers.remote.inference.llama_openai_compat.llama import LlamaCompatInferenceAdapter
from llama_stack.providers.remote.inference.openai.config import OpenAIConfig
from llama_stack.providers.remote.inference.openai.openai import OpenAIInferenceAdapter
from llama_stack.providers.remote.inference.together.config import TogetherImplConfig
from llama_stack.providers.remote.inference.together.together import TogetherInferenceAdapter
def test_groq_provider_openai_client_caching():
"""Ensure the Groq provider does not cache api keys across client requests"""
config = GroqConfig()
inference_adapter = GroqInferenceAdapter(config)
inference_adapter.__provider_spec__ = MagicMock()
inference_adapter.__provider_spec__.provider_data_validator = (
"llama_stack.providers.remote.inference.groq.config.GroqProviderDataValidator"
)
for api_key in ["test1", "test2"]:
with request_provider_data_context(
{"x-llamastack-provider-data": json.dumps({inference_adapter.provider_data_api_key_field: api_key})}
):
openai_client = inference_adapter._get_openai_client()
assert openai_client.api_key == api_key
def test_openai_provider_openai_client_caching():
"""Ensure the OpenAI provider does not cache api keys across client requests"""
config = OpenAIConfig()
inference_adapter = OpenAIInferenceAdapter(config)
inference_adapter.__provider_spec__ = MagicMock()
inference_adapter.__provider_spec__.provider_data_validator = (
"llama_stack.providers.remote.inference.openai.config.OpenAIProviderDataValidator"
)
for api_key in ["test1", "test2"]:
with request_provider_data_context(
{"x-llamastack-provider-data": json.dumps({inference_adapter.provider_data_api_key_field: api_key})}
):
openai_client = inference_adapter.client
assert openai_client.api_key == api_key
def test_together_provider_openai_client_caching():
"""Ensure the Together provider does not cache api keys across client requests"""
config = TogetherImplConfig()
inference_adapter = TogetherInferenceAdapter(config)
inference_adapter.__provider_spec__ = MagicMock()
inference_adapter.__provider_spec__.provider_data_validator = (
"llama_stack.providers.remote.inference.together.TogetherProviderDataValidator"
)
for api_key in ["test1", "test2"]:
with request_provider_data_context({"x-llamastack-provider-data": json.dumps({"together_api_key": api_key})}):
together_client = inference_adapter._get_client()
assert together_client.client.api_key == api_key
openai_client = inference_adapter._get_openai_client()
assert openai_client.api_key == api_key
def test_llama_compat_provider_openai_client_caching():
"""Ensure the LlamaCompat provider does not cache api keys across client requests"""
config = LlamaCompatConfig()
inference_adapter = LlamaCompatInferenceAdapter(config)
inference_adapter.__provider_spec__ = MagicMock()
inference_adapter.__provider_spec__.provider_data_validator = (
"llama_stack.providers.remote.inference.llama_openai_compat.config.LlamaProviderDataValidator"
)
for api_key in ["test1", "test2"]:
with request_provider_data_context({"x-llamastack-provider-data": json.dumps({"llama_api_key": api_key})}):
assert inference_adapter.client.api_key == api_key