Merge remote-tracking branch 'origin/main' into pr-1610
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399
tests/test_azure_openai_provider.py
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399
tests/test_azure_openai_provider.py
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"""Test Azure OpenAI provider implementation (updated for model-based deployment names)."""
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from unittest.mock import AsyncMock, Mock, patch
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import pytest
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from nanobot.providers.azure_openai_provider import AzureOpenAIProvider
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from nanobot.providers.base import LLMResponse
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def test_azure_openai_provider_init():
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"""Test AzureOpenAIProvider initialization without deployment_name."""
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provider = AzureOpenAIProvider(
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api_key="test-key",
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api_base="https://test-resource.openai.azure.com",
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default_model="gpt-4o-deployment",
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)
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assert provider.api_key == "test-key"
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assert provider.api_base == "https://test-resource.openai.azure.com/"
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assert provider.default_model == "gpt-4o-deployment"
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assert provider.api_version == "2024-10-21"
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def test_azure_openai_provider_init_validation():
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"""Test AzureOpenAIProvider initialization validation."""
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# Missing api_key
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with pytest.raises(ValueError, match="Azure OpenAI api_key is required"):
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AzureOpenAIProvider(api_key="", api_base="https://test.com")
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# Missing api_base
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with pytest.raises(ValueError, match="Azure OpenAI api_base is required"):
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AzureOpenAIProvider(api_key="test", api_base="")
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def test_build_chat_url():
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"""Test Azure OpenAI URL building with different deployment names."""
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provider = AzureOpenAIProvider(
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api_key="test-key",
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api_base="https://test-resource.openai.azure.com",
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default_model="gpt-4o",
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)
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# Test various deployment names
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test_cases = [
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("gpt-4o-deployment", "https://test-resource.openai.azure.com/openai/deployments/gpt-4o-deployment/chat/completions?api-version=2024-10-21"),
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("gpt-35-turbo", "https://test-resource.openai.azure.com/openai/deployments/gpt-35-turbo/chat/completions?api-version=2024-10-21"),
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("custom-model", "https://test-resource.openai.azure.com/openai/deployments/custom-model/chat/completions?api-version=2024-10-21"),
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]
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for deployment_name, expected_url in test_cases:
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url = provider._build_chat_url(deployment_name)
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assert url == expected_url
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def test_build_chat_url_api_base_without_slash():
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"""Test URL building when api_base doesn't end with slash."""
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provider = AzureOpenAIProvider(
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api_key="test-key",
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api_base="https://test-resource.openai.azure.com", # No trailing slash
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default_model="gpt-4o",
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)
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url = provider._build_chat_url("test-deployment")
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expected = "https://test-resource.openai.azure.com/openai/deployments/test-deployment/chat/completions?api-version=2024-10-21"
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assert url == expected
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def test_build_headers():
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"""Test Azure OpenAI header building with api-key authentication."""
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provider = AzureOpenAIProvider(
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api_key="test-api-key-123",
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api_base="https://test-resource.openai.azure.com",
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default_model="gpt-4o",
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)
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headers = provider._build_headers()
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assert headers["Content-Type"] == "application/json"
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assert headers["api-key"] == "test-api-key-123" # Azure OpenAI specific header
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assert "x-session-affinity" in headers
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def test_prepare_request_payload():
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"""Test request payload preparation with Azure OpenAI 2024-10-21 compliance."""
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provider = AzureOpenAIProvider(
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api_key="test-key",
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api_base="https://test-resource.openai.azure.com",
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default_model="gpt-4o",
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)
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messages = [{"role": "user", "content": "Hello"}]
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payload = provider._prepare_request_payload("gpt-4o", messages, max_tokens=1500, temperature=0.8)
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assert payload["messages"] == messages
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assert payload["max_completion_tokens"] == 1500 # Azure API 2024-10-21 uses max_completion_tokens
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assert payload["temperature"] == 0.8
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assert "tools" not in payload
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# Test with tools
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tools = [{"type": "function", "function": {"name": "get_weather", "parameters": {}}}]
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payload_with_tools = provider._prepare_request_payload("gpt-4o", messages, tools=tools)
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assert payload_with_tools["tools"] == tools
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assert payload_with_tools["tool_choice"] == "auto"
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# Test with reasoning_effort
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payload_with_reasoning = provider._prepare_request_payload(
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"gpt-5-chat", messages, reasoning_effort="medium"
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)
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assert payload_with_reasoning["reasoning_effort"] == "medium"
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assert "temperature" not in payload_with_reasoning
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def test_prepare_request_payload_sanitizes_messages():
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"""Test Azure payload strips non-standard message keys before sending."""
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provider = AzureOpenAIProvider(
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api_key="test-key",
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api_base="https://test-resource.openai.azure.com",
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default_model="gpt-4o",
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)
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messages = [
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{
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"role": "assistant",
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"tool_calls": [{"id": "call_123", "type": "function", "function": {"name": "x"}}],
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"reasoning_content": "hidden chain-of-thought",
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},
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{
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"role": "tool",
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"tool_call_id": "call_123",
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"name": "x",
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"content": "ok",
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"extra_field": "should be removed",
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},
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]
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payload = provider._prepare_request_payload("gpt-4o", messages)
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assert payload["messages"] == [
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{
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"role": "assistant",
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"content": None,
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"tool_calls": [{"id": "call_123", "type": "function", "function": {"name": "x"}}],
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},
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{
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"role": "tool",
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"tool_call_id": "call_123",
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"name": "x",
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"content": "ok",
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},
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]
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@pytest.mark.asyncio
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async def test_chat_success():
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"""Test successful chat request using model as deployment name."""
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provider = AzureOpenAIProvider(
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api_key="test-key",
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api_base="https://test-resource.openai.azure.com",
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default_model="gpt-4o-deployment",
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)
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# Mock response data
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mock_response_data = {
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"choices": [{
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"message": {
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"content": "Hello! How can I help you today?",
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"role": "assistant"
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},
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"finish_reason": "stop"
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}],
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"usage": {
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"prompt_tokens": 12,
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"completion_tokens": 18,
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"total_tokens": 30
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}
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}
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with patch("httpx.AsyncClient") as mock_client:
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mock_response = AsyncMock()
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mock_response.status_code = 200
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mock_response.json = Mock(return_value=mock_response_data)
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mock_context = AsyncMock()
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mock_context.post = AsyncMock(return_value=mock_response)
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mock_client.return_value.__aenter__.return_value = mock_context
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# Test with specific model (deployment name)
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messages = [{"role": "user", "content": "Hello"}]
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result = await provider.chat(messages, model="custom-deployment")
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assert isinstance(result, LLMResponse)
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assert result.content == "Hello! How can I help you today?"
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assert result.finish_reason == "stop"
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assert result.usage["prompt_tokens"] == 12
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assert result.usage["completion_tokens"] == 18
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assert result.usage["total_tokens"] == 30
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# Verify URL was built with the provided model as deployment name
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call_args = mock_context.post.call_args
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expected_url = "https://test-resource.openai.azure.com/openai/deployments/custom-deployment/chat/completions?api-version=2024-10-21"
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assert call_args[0][0] == expected_url
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@pytest.mark.asyncio
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async def test_chat_uses_default_model_when_no_model_provided():
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"""Test that chat uses default_model when no model is specified."""
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provider = AzureOpenAIProvider(
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api_key="test-key",
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api_base="https://test-resource.openai.azure.com",
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default_model="default-deployment",
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)
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mock_response_data = {
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"choices": [{
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"message": {"content": "Response", "role": "assistant"},
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"finish_reason": "stop"
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}],
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"usage": {"prompt_tokens": 5, "completion_tokens": 5, "total_tokens": 10}
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}
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with patch("httpx.AsyncClient") as mock_client:
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mock_response = AsyncMock()
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mock_response.status_code = 200
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mock_response.json = Mock(return_value=mock_response_data)
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mock_context = AsyncMock()
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mock_context.post = AsyncMock(return_value=mock_response)
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mock_client.return_value.__aenter__.return_value = mock_context
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messages = [{"role": "user", "content": "Test"}]
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await provider.chat(messages) # No model specified
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# Verify URL was built with default model as deployment name
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call_args = mock_context.post.call_args
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expected_url = "https://test-resource.openai.azure.com/openai/deployments/default-deployment/chat/completions?api-version=2024-10-21"
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assert call_args[0][0] == expected_url
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@pytest.mark.asyncio
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async def test_chat_with_tool_calls():
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"""Test chat request with tool calls in response."""
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provider = AzureOpenAIProvider(
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api_key="test-key",
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api_base="https://test-resource.openai.azure.com",
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default_model="gpt-4o",
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)
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# Mock response with tool calls
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mock_response_data = {
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"choices": [{
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"message": {
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"content": None,
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"role": "assistant",
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"tool_calls": [{
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"id": "call_12345",
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"function": {
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"name": "get_weather",
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"arguments": '{"location": "San Francisco"}'
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}
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}]
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},
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"finish_reason": "tool_calls"
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}],
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"usage": {
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"prompt_tokens": 20,
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"completion_tokens": 15,
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"total_tokens": 35
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}
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}
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with patch("httpx.AsyncClient") as mock_client:
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mock_response = AsyncMock()
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mock_response.status_code = 200
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mock_response.json = Mock(return_value=mock_response_data)
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mock_context = AsyncMock()
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mock_context.post = AsyncMock(return_value=mock_response)
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mock_client.return_value.__aenter__.return_value = mock_context
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messages = [{"role": "user", "content": "What's the weather?"}]
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tools = [{"type": "function", "function": {"name": "get_weather", "parameters": {}}}]
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result = await provider.chat(messages, tools=tools, model="weather-model")
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assert isinstance(result, LLMResponse)
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assert result.content is None
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assert result.finish_reason == "tool_calls"
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assert len(result.tool_calls) == 1
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assert result.tool_calls[0].name == "get_weather"
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assert result.tool_calls[0].arguments == {"location": "San Francisco"}
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@pytest.mark.asyncio
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async def test_chat_api_error():
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"""Test chat request API error handling."""
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provider = AzureOpenAIProvider(
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api_key="test-key",
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api_base="https://test-resource.openai.azure.com",
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default_model="gpt-4o",
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)
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with patch("httpx.AsyncClient") as mock_client:
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mock_response = AsyncMock()
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mock_response.status_code = 401
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mock_response.text = "Invalid authentication credentials"
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mock_context = AsyncMock()
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mock_context.post = AsyncMock(return_value=mock_response)
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mock_client.return_value.__aenter__.return_value = mock_context
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messages = [{"role": "user", "content": "Hello"}]
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result = await provider.chat(messages)
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assert isinstance(result, LLMResponse)
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assert "Azure OpenAI API Error 401" in result.content
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assert "Invalid authentication credentials" in result.content
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assert result.finish_reason == "error"
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@pytest.mark.asyncio
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async def test_chat_connection_error():
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"""Test chat request connection error handling."""
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provider = AzureOpenAIProvider(
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api_key="test-key",
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api_base="https://test-resource.openai.azure.com",
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default_model="gpt-4o",
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)
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with patch("httpx.AsyncClient") as mock_client:
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mock_context = AsyncMock()
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mock_context.post = AsyncMock(side_effect=Exception("Connection failed"))
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mock_client.return_value.__aenter__.return_value = mock_context
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messages = [{"role": "user", "content": "Hello"}]
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result = await provider.chat(messages)
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assert isinstance(result, LLMResponse)
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assert "Error calling Azure OpenAI: Exception('Connection failed')" in result.content
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assert result.finish_reason == "error"
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def test_parse_response_malformed():
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"""Test response parsing with malformed data."""
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provider = AzureOpenAIProvider(
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api_key="test-key",
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api_base="https://test-resource.openai.azure.com",
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default_model="gpt-4o",
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)
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# Test with missing choices
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malformed_response = {"usage": {"prompt_tokens": 10}}
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result = provider._parse_response(malformed_response)
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assert isinstance(result, LLMResponse)
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assert "Error parsing Azure OpenAI response" in result.content
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assert result.finish_reason == "error"
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def test_get_default_model():
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"""Test get_default_model method."""
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provider = AzureOpenAIProvider(
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api_key="test-key",
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api_base="https://test-resource.openai.azure.com",
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default_model="my-custom-deployment",
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)
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assert provider.get_default_model() == "my-custom-deployment"
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if __name__ == "__main__":
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# Run basic tests
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print("Running basic Azure OpenAI provider tests...")
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# Test initialization
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provider = AzureOpenAIProvider(
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api_key="test-key",
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api_base="https://test-resource.openai.azure.com",
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default_model="gpt-4o-deployment",
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)
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print("✅ Provider initialization successful")
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# Test URL building
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url = provider._build_chat_url("my-deployment")
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expected = "https://test-resource.openai.azure.com/openai/deployments/my-deployment/chat/completions?api-version=2024-10-21"
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assert url == expected
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print("✅ URL building works correctly")
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# Test headers
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headers = provider._build_headers()
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assert headers["api-key"] == "test-key"
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assert headers["Content-Type"] == "application/json"
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print("✅ Header building works correctly")
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# Test payload preparation
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messages = [{"role": "user", "content": "Test"}]
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payload = provider._prepare_request_payload("gpt-4o-deployment", messages, max_tokens=1000)
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assert payload["max_completion_tokens"] == 1000 # Azure 2024-10-21 format
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print("✅ Payload preparation works correctly")
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print("✅ All basic tests passed! Updated test file is working correctly.")
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