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103 lines
3.2 KiB
Python
103 lines
3.2 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 os
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import pytest
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import pytest_asyncio
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from llama_stack.distribution.datatypes import Api, Provider
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from llama_stack.providers.adapters.inference.fireworks import FireworksImplConfig
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from llama_stack.providers.adapters.inference.ollama import OllamaImplConfig
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from llama_stack.providers.adapters.inference.together import TogetherImplConfig
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from llama_stack.providers.impls.meta_reference.inference import (
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MetaReferenceInferenceConfig,
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)
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from llama_stack.providers.tests.resolver import resolve_impls_for_test_v2
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from ..conftest import ProviderFixture
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from ..env import get_env_or_fail
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@pytest.fixture(scope="session")
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def inference_model(request):
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return request.config.getoption("--inference-model", None) or request.param
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@pytest.fixture(scope="session")
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def inference_meta_reference(inference_model) -> ProviderFixture:
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# TODO: make this work with multiple models
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return ProviderFixture(
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provider=Provider(
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provider_id="meta-reference",
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provider_type="meta-reference",
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config=MetaReferenceInferenceConfig(
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model=inference_model,
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max_seq_len=512,
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create_distributed_process_group=False,
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checkpoint_dir=os.getenv("MODEL_CHECKPOINT_DIR", None),
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).model_dump(),
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),
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)
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@pytest.fixture(scope="session")
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def inference_ollama(inference_model) -> ProviderFixture:
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if inference_model == "Llama3.1-8B-Instruct":
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pytest.skip("Ollama only support Llama3.2-3B-Instruct for testing")
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return ProviderFixture(
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provider=Provider(
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provider_id="ollama",
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provider_type="remote::ollama",
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config=OllamaImplConfig(
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host="localhost", port=os.getenv("OLLAMA_PORT", 11434)
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).model_dump(),
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),
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)
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@pytest.fixture(scope="session")
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def inference_fireworks() -> ProviderFixture:
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return ProviderFixture(
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provider=Provider(
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provider_id="fireworks",
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provider_type="remote::fireworks",
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config=FireworksImplConfig(
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api_key=get_env_or_fail("FIREWORKS_API_KEY"),
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).model_dump(),
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),
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)
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@pytest.fixture(scope="session")
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def inference_together() -> ProviderFixture:
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return ProviderFixture(
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provider=Provider(
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provider_id="together",
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provider_type="remote::together",
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config=TogetherImplConfig().model_dump(),
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),
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provider_data=dict(
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together_api_key=get_env_or_fail("TOGETHER_API_KEY"),
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),
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)
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INFERENCE_FIXTURES = ["meta_reference", "ollama", "fireworks", "together"]
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@pytest_asyncio.fixture(scope="session")
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async def inference_stack(request):
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fixture_name = request.param
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inference_fixture = request.getfixturevalue(f"inference_{fixture_name}")
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impls = await resolve_impls_for_test_v2(
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[Api.inference],
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{"inference": [inference_fixture.provider.model_dump()]},
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inference_fixture.provider_data,
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)
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return (impls[Api.inference], impls[Api.models])
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