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test: add unit test to ensure all config types are instantiable
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parent
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commit
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5 changed files with 45 additions and 34 deletions
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@ -27,27 +27,6 @@ def available_providers() -> List[ProviderSpec]:
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module="llama_stack.providers.inline.safety.prompt_guard",
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config_class="llama_stack.providers.inline.safety.prompt_guard.PromptGuardConfig",
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),
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InlineProviderSpec(
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api=Api.safety,
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provider_type="inline::meta-reference",
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pip_packages=[
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"transformers",
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"torch --index-url https://download.pytorch.org/whl/cpu",
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],
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module="llama_stack.providers.inline.safety.meta_reference",
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config_class="llama_stack.providers.inline.safety.meta_reference.SafetyConfig",
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api_dependencies=[
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Api.inference,
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],
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deprecation_error="""
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Provider `inline::meta-reference` for API `safety` does not work with the latest Llama Stack.
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- if you are using Llama Guard v3, please use the `inline::llama-guard` provider instead.
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- if you are using Prompt Guard, please use the `inline::prompt-guard` provider instead.
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- if you are using Code Scanner, please use the `inline::code-scanner` provider instead.
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""",
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),
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InlineProviderSpec(
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api=Api.safety,
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provider_type="inline::llama-guard",
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@ -7,11 +7,9 @@
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from typing import List
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from llama_stack.providers.datatypes import (
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AdapterSpec,
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Api,
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InlineProviderSpec,
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ProviderSpec,
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remote_provider_spec,
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)
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@ -28,13 +26,4 @@ def available_providers() -> List[ProviderSpec]:
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module="llama_stack.providers.inline.telemetry.meta_reference",
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config_class="llama_stack.providers.inline.telemetry.meta_reference.config.TelemetryConfig",
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),
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remote_provider_spec(
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api=Api.telemetry,
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adapter=AdapterSpec(
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adapter_type="sample",
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pip_packages=[],
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module="llama_stack.providers.remote.telemetry.sample",
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config_class="llama_stack.providers.remote.telemetry.sample.SampleConfig",
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),
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),
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]
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@ -5,10 +5,11 @@
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# the root directory of this source tree.
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from .config import RunpodImplConfig
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from .runpod import RunpodInferenceAdapter
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async def get_adapter_impl(config: RunpodImplConfig, _deps):
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from .runpod import RunpodInferenceAdapter
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assert isinstance(config, RunpodImplConfig), f"Unexpected config type: {type(config)}"
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impl = RunpodInferenceAdapter(config)
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await impl.initialize()
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@ -8,7 +8,6 @@ from typing import AsyncGenerator
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from openai import OpenAI
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from llama_stack.apis.inference import * # noqa: F403
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from llama_stack.models.llama.datatypes import Message
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# from llama_stack.providers.datatypes import ModelsProtocolPrivate
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from llama_stack.providers.utils.inference.model_registry import ModelRegistryHelper
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43
tests/unit/providers/test_configs.py
Normal file
43
tests/unit/providers/test_configs.py
Normal file
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@ -0,0 +1,43 @@
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# 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 pytest
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from pydantic import BaseModel
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from llama_stack.distribution.distribution import get_provider_registry, providable_apis
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from llama_stack.distribution.utils.dynamic import instantiate_class_type
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def test_all_provider_configs_can_be_instantiated():
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"""
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Test that all provider configs can be instantiated.
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This ensures that all config classes are correctly defined and can be instantiated without errors.
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"""
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# Get all provider registries
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provider_registry = get_provider_registry()
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# Track any failures
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failures = []
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# For each API type
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for api in providable_apis():
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providers = provider_registry.get(api, {})
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# For each provider of this API type
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for provider_type, provider_spec in providers.items():
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try:
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# Get the config class
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config_class_name = provider_spec.config_class
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config_type = instantiate_class_type(config_class_name)
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assert issubclass(config_type, BaseModel)
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except Exception as e:
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failures.append(f"Failed to instantiate {provider_type} config: {str(e)}")
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# Report all failures at once
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if failures:
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pytest.fail("\n".join(failures))
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