mirror of
https://github.com/meta-llama/llama-stack.git
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85d407c2a0
Extract API definitions, models, and provider specifications into a standalone llama-stack-api package that can be published to PyPI independently of the main llama-stack server. Motivation External providers currently import from llama-stack, which overrides the installed version and causes dependency conflicts. This separation allows external providers to: - Install only the type definitions they need without server dependencies - Avoid version conflicts with the installed llama-stack package - Be versioned and released independently This enables us to re-enable external provider module tests that were previously blocked by these import conflicts. Changes - Created llama-stack-api package with minimal dependencies (pydantic, jsonschema) - Moved APIs, providers datatypes, strong_typing, and schema_utils - Updated all imports from llama_stack.* to llama_stack_api.* - Preserved git history using git mv for moved files - Configured local editable install for development workflow - Updated linting and type-checking configuration for both packages - Rebased on top of upstream src/ layout changes Testing Package builds successfully and can be imported independently. All pre-commit hooks pass with expected exclusions maintained. Next Steps - Publish llama-stack-api to PyPI - Update external provider dependencies - Re-enable external provider module tests Signed-off-by: Charlie Doern <cdoern@redhat.com>
78 lines
3.3 KiB
Python
78 lines
3.3 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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from types import SimpleNamespace
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from unittest.mock import AsyncMock, MagicMock
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import pytest
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from llama_stack_api.apis.inference import OpenAIChatCompletionRequestWithExtraBody
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from openai import AuthenticationError
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from llama_stack.providers.remote.inference.bedrock.bedrock import BedrockInferenceAdapter
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from llama_stack.providers.remote.inference.bedrock.config import BedrockConfig
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def test_adapter_initialization():
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config = BedrockConfig(api_key="test-key", region_name="us-east-1")
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adapter = BedrockInferenceAdapter(config=config)
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assert adapter.config.auth_credential.get_secret_value() == "test-key"
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assert adapter.config.region_name == "us-east-1"
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def test_client_url_construction():
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config = BedrockConfig(api_key="test-key", region_name="us-west-2")
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adapter = BedrockInferenceAdapter(config=config)
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assert adapter.get_base_url() == "https://bedrock-runtime.us-west-2.amazonaws.com/openai/v1"
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def test_api_key_from_config():
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config = BedrockConfig(api_key="config-key", region_name="us-east-1")
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adapter = BedrockInferenceAdapter(config=config)
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assert adapter.config.auth_credential.get_secret_value() == "config-key"
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def test_api_key_from_header_overrides_config():
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"""Test API key from request header overrides config via client property"""
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config = BedrockConfig(api_key="config-key", region_name="us-east-1")
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adapter = BedrockInferenceAdapter(config=config)
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adapter.provider_data_api_key_field = "aws_bedrock_api_key"
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adapter.get_request_provider_data = MagicMock(return_value=SimpleNamespace(aws_bedrock_api_key="header-key"))
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# The client property is where header override happens (in OpenAIMixin)
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assert adapter.client.api_key == "header-key"
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async def test_authentication_error_handling():
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"""Test that AuthenticationError from OpenAI client is converted to ValueError with helpful message"""
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config = BedrockConfig(api_key="invalid-key", region_name="us-east-1")
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adapter = BedrockInferenceAdapter(config=config)
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# Mock the parent class method to raise AuthenticationError
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mock_response = MagicMock()
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mock_response.message = "Invalid authentication credentials"
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auth_error = AuthenticationError(message="Invalid authentication credentials", response=mock_response, body=None)
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# Create a mock that raises the error
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mock_super = AsyncMock(side_effect=auth_error)
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# Patch the parent class method
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original_method = BedrockInferenceAdapter.__bases__[0].openai_chat_completion
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BedrockInferenceAdapter.__bases__[0].openai_chat_completion = mock_super
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try:
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with pytest.raises(ValueError) as exc_info:
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params = OpenAIChatCompletionRequestWithExtraBody(
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model="test-model", messages=[{"role": "user", "content": "test"}]
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)
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await adapter.openai_chat_completion(params=params)
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assert "AWS Bedrock authentication failed" in str(exc_info.value)
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assert "Please verify your API key" in str(exc_info.value)
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finally:
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# Restore original method
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BedrockInferenceAdapter.__bases__[0].openai_chat_completion = original_method
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