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e7cd03b32e
* Small fix in dotnet conformance tests * Added CopilotStudioAgent implementation * Added examples * Updated package README * Small fixes * Small improvements * Fixed dotnet tests * Add unit tests * Updated tests * Small updates * Small test fixes * Revert "Small test fixes" This reverts commit983ac44a70. * Small fixes in documentation * Updated test configuration * Revert "Updated test configuration" This reverts commit2a16fea815. * Small fix * Reverted TODO item * Small suppressions * More fixes * Small fixes * Fixed tests * Removed disallow_any_unimported rule in all packages * Fixes
892 lines
37 KiB
Python
892 lines
37 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import os
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from typing import Annotated
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from unittest.mock import AsyncMock, MagicMock, patch
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import pytest
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from agent_framework import (
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AgentRunResponse,
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AgentRunResponseUpdate,
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AgentThread,
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ChatAgent,
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ChatClientProtocol,
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ChatMessage,
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ChatOptions,
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ChatResponse,
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ChatResponseUpdate,
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FunctionCallContent,
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FunctionResultContent,
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HostedCodeInterpreterTool,
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MCPStreamableHTTPTool,
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Role,
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TextContent,
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UriContent,
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)
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from agent_framework import __version__ as AF_VERSION
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from agent_framework.exceptions import ServiceInitializationError
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from agent_framework.foundry import FoundryChatClient, FoundrySettings
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from azure.ai.agents.models import (
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RequiredFunctionToolCall,
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SubmitToolOutputsAction,
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ThreadRun,
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)
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from azure.core.credentials_async import AsyncTokenCredential
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from azure.identity.aio import AzureCliCredential
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from pydantic import Field, ValidationError
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skip_if_foundry_integration_tests_disabled = pytest.mark.skipif(
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os.getenv("RUN_INTEGRATION_TESTS", "false").lower() != "true"
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or os.getenv("FOUNDRY_PROJECT_ENDPOINT", "") in ("", "https://test-project.cognitiveservices.azure.com/"),
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reason="No real FOUNDRY_PROJECT_ENDPOINT provided; skipping integration tests."
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if os.getenv("RUN_INTEGRATION_TESTS", "false").lower() == "true"
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else "Integration tests are disabled.",
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)
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def create_test_foundry_chat_client(
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mock_ai_project_client: MagicMock,
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agent_id: str | None = None,
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thread_id: str | None = None,
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foundry_settings: FoundrySettings | None = None,
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should_delete_agent: bool = False,
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) -> FoundryChatClient:
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"""Helper function to create FoundryChatClient instances for testing, bypassing Pydantic validation."""
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if foundry_settings is None:
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foundry_settings = FoundrySettings(env_file_path="test.env")
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return FoundryChatClient.model_construct(
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client=mock_ai_project_client,
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agent_id=agent_id,
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thread_id=thread_id,
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_should_delete_agent=should_delete_agent,
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agent_name=foundry_settings.agent_name, # type: ignore[reportCallIssue]
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ai_model_id=foundry_settings.model_deployment_name,
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)
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def test_foundry_settings_init(foundry_unit_test_env: dict[str, str]) -> None:
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"""Test FoundrySettings initialization."""
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settings = FoundrySettings()
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assert settings.project_endpoint == foundry_unit_test_env["FOUNDRY_PROJECT_ENDPOINT"]
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assert settings.model_deployment_name == foundry_unit_test_env["FOUNDRY_MODEL_DEPLOYMENT_NAME"]
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assert settings.agent_name == foundry_unit_test_env["FOUNDRY_AGENT_NAME"]
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def test_foundry_settings_init_with_explicit_values() -> None:
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"""Test FoundrySettings initialization with explicit values."""
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settings = FoundrySettings(
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project_endpoint="https://custom-endpoint.com/",
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model_deployment_name="custom-model",
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agent_name="CustomAgent",
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)
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assert settings.project_endpoint == "https://custom-endpoint.com/"
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assert settings.model_deployment_name == "custom-model"
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assert settings.agent_name == "CustomAgent"
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def test_foundry_chat_client_init_with_client(mock_ai_project_client: MagicMock) -> None:
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"""Test FoundryChatClient initialization with existing client."""
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chat_client = create_test_foundry_chat_client(
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mock_ai_project_client, agent_id="existing-agent-id", thread_id="test-thread-id"
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)
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assert chat_client.client is mock_ai_project_client
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assert chat_client.agent_id == "existing-agent-id"
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assert chat_client.thread_id == "test-thread-id"
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assert not chat_client._should_delete_agent # type: ignore
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assert isinstance(chat_client, ChatClientProtocol)
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def test_foundry_chat_client_init_auto_create_client(
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foundry_unit_test_env: dict[str, str],
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mock_ai_project_client: MagicMock,
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) -> None:
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"""Test FoundryChatClient initialization with auto-created client."""
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foundry_settings = FoundrySettings(**foundry_unit_test_env) # type: ignore
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chat_client = FoundryChatClient.model_construct(
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client=mock_ai_project_client,
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agent_id=None,
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thread_id=None,
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_should_delete_agent=False,
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_foundry_settings=foundry_settings,
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credential=None,
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)
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assert chat_client.client is mock_ai_project_client
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assert chat_client.agent_id is None
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assert not chat_client._should_delete_agent # type: ignore
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def test_foundry_chat_client_init_missing_project_endpoint() -> None:
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"""Test FoundryChatClient initialization when project_endpoint is missing and no client provided."""
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# Mock FoundrySettings to return settings with None project_endpoint
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with patch("agent_framework_foundry._chat_client.FoundrySettings") as mock_settings:
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mock_settings_instance = MagicMock()
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mock_settings_instance.project_endpoint = None # This should trigger the error
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mock_settings_instance.model_deployment_name = "test-model"
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mock_settings_instance.agent_name = "test-agent"
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mock_settings.return_value = mock_settings_instance
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with pytest.raises(ServiceInitializationError, match="project endpoint is required"):
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FoundryChatClient(
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client=None,
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agent_id=None,
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project_endpoint=None, # Missing endpoint
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model_deployment_name="test-model",
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async_credential=AsyncMock(spec=AsyncTokenCredential),
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)
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def test_foundry_chat_client_init_missing_model_deployment_for_agent_creation() -> None:
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"""Test FoundryChatClient initialization when model deployment is missing for agent creation."""
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# Mock FoundrySettings to return settings with None model_deployment_name
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with patch("agent_framework_foundry._chat_client.FoundrySettings") as mock_settings:
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mock_settings_instance = MagicMock()
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mock_settings_instance.project_endpoint = "https://test.com"
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mock_settings_instance.model_deployment_name = None # This should trigger the error
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mock_settings_instance.agent_name = "test-agent"
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mock_settings.return_value = mock_settings_instance
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with pytest.raises(ServiceInitializationError, match="model deployment name is required"):
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FoundryChatClient(
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client=None,
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agent_id=None, # No existing agent
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project_endpoint="https://test.com",
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model_deployment_name=None, # Missing for agent creation
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async_credential=AsyncMock(spec=AsyncTokenCredential),
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)
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def test_foundry_chat_client_from_dict(mock_ai_project_client: MagicMock) -> None:
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"""Test FoundryChatClient.from_dict method."""
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settings = {
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"client": mock_ai_project_client,
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"agent_id": "test-agent-id",
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"thread_id": "test-thread-id",
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"project_endpoint": "https://test-endpoint.com/",
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"model_deployment_name": "test-model",
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"agent_name": "TestAgent",
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}
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foundry_settings = FoundrySettings(
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project_endpoint=settings["project_endpoint"],
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model_deployment_name=settings["model_deployment_name"],
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agent_name=settings["agent_name"],
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)
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chat_client: FoundryChatClient = create_test_foundry_chat_client(
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mock_ai_project_client,
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agent_id=settings["agent_id"], # type: ignore
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thread_id=settings["thread_id"], # type: ignore
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foundry_settings=foundry_settings,
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)
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assert chat_client.client is mock_ai_project_client
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assert chat_client.agent_id == "test-agent-id"
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assert chat_client.thread_id == "test-thread-id"
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def test_foundry_chat_client_init_missing_credential(foundry_unit_test_env: dict[str, str]) -> None:
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"""Test FoundryChatClient.__init__ when async_credential is missing and no client provided."""
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with pytest.raises(ServiceInitializationError, match="Azure credential is required when client is not provided"):
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FoundryChatClient(
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client=None,
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agent_id="existing-agent",
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project_endpoint=foundry_unit_test_env["FOUNDRY_PROJECT_ENDPOINT"],
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model_deployment_name=foundry_unit_test_env["FOUNDRY_MODEL_DEPLOYMENT_NAME"],
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async_credential=None, # Missing credential
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)
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def test_foundry_chat_client_init_validation_error(mock_azure_credential: MagicMock) -> None:
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"""Test that ValidationError in FoundrySettings is properly handled."""
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with patch("agent_framework_foundry._chat_client.FoundrySettings") as mock_settings:
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# Create a proper ValidationError with empty errors list and model dict
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mock_settings.side_effect = ValidationError.from_exception_data("FoundrySettings", [])
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with pytest.raises(ServiceInitializationError, match="Failed to create Foundry settings"):
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FoundryChatClient(
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project_endpoint="https://test.com",
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model_deployment_name="test-model",
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async_credential=mock_azure_credential,
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)
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async def test_foundry_chat_client_get_agent_id_or_create_existing_agent(
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mock_ai_project_client: MagicMock,
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) -> None:
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"""Test _get_agent_id_or_create when agent_id is already provided."""
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chat_client = create_test_foundry_chat_client(mock_ai_project_client, agent_id="existing-agent-id")
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agent_id = await chat_client._get_agent_id_or_create() # type: ignore
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assert agent_id == "existing-agent-id"
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assert not chat_client._should_delete_agent # type: ignore
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async def test_foundry_chat_client_get_agent_id_or_create_create_new(
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mock_ai_project_client: MagicMock,
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foundry_unit_test_env: dict[str, str],
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) -> None:
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"""Test _get_agent_id_or_create when creating a new agent."""
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foundry_settings = FoundrySettings(
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model_deployment_name=foundry_unit_test_env["FOUNDRY_MODEL_DEPLOYMENT_NAME"], agent_name="TestAgent"
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)
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chat_client = create_test_foundry_chat_client(mock_ai_project_client, foundry_settings=foundry_settings)
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agent_id = await chat_client._get_agent_id_or_create() # type: ignore
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assert agent_id == "test-agent-id"
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assert chat_client._should_delete_agent # type: ignore
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async def test_foundry_chat_client_tool_results_without_thread_error_via_public_api(
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mock_ai_project_client: MagicMock,
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) -> None:
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"""Test that tool results without thread ID raise error through public API."""
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chat_client = create_test_foundry_chat_client(mock_ai_project_client, agent_id="test-agent")
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# Create messages with tool results but no thread/conversation ID
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messages = [
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ChatMessage(role=Role.USER, text="Hello"),
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ChatMessage(
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role=Role.TOOL, contents=[FunctionResultContent(call_id='["run_123", "call_456"]', result="Result")]
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),
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]
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# This should raise ValueError when called through public API
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with pytest.raises(ValueError, match="No thread ID was provided, but chat messages includes tool results"):
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async for _ in chat_client.get_streaming_response(messages):
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pass
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async def test_foundry_chat_client_thread_management_through_public_api(mock_ai_project_client: MagicMock) -> None:
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"""Test thread creation and management through public API."""
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chat_client = create_test_foundry_chat_client(mock_ai_project_client, agent_id="test-agent")
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mock_thread = MagicMock()
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mock_thread.id = "new-thread-456"
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mock_ai_project_client.agents.threads.create = AsyncMock(return_value=mock_thread)
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mock_stream = AsyncMock()
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mock_ai_project_client.agents.runs.stream = AsyncMock(return_value=mock_stream)
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# Create an async iterator that yields nothing (empty stream)
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async def empty_async_iter():
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return
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yield # Make this a generator (unreachable)
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mock_stream.__aenter__ = AsyncMock(return_value=empty_async_iter())
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mock_stream.__aexit__ = AsyncMock(return_value=None)
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messages = [ChatMessage(role=Role.USER, text="Hello")]
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# Call without existing thread - should create new one
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response = chat_client.get_streaming_response(messages)
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# Consume the generator to trigger the method execution
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async for _ in response:
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pass
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# Verify thread creation was called
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mock_ai_project_client.agents.threads.create.assert_called_once()
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@pytest.mark.parametrize("exclude_list", [["FOUNDRY_MODEL_DEPLOYMENT_NAME"]], indirect=True)
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async def test_foundry_chat_client_get_agent_id_or_create_missing_model(
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mock_ai_project_client: MagicMock, foundry_unit_test_env: dict[str, str]
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) -> None:
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"""Test _get_agent_id_or_create when model_deployment_name is missing."""
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chat_client = create_test_foundry_chat_client(mock_ai_project_client)
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with pytest.raises(ServiceInitializationError, match="Model deployment name is required"):
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await chat_client._get_agent_id_or_create() # type: ignore
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async def test_foundry_chat_client_cleanup_agent_if_needed_should_delete(
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mock_ai_project_client: MagicMock,
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) -> None:
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"""Test _cleanup_agent_if_needed when agent should be deleted."""
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chat_client = create_test_foundry_chat_client(
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mock_ai_project_client, agent_id="agent-to-delete", should_delete_agent=True
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)
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await chat_client._cleanup_agent_if_needed() # type: ignore
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# Verify agent deletion was called
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mock_ai_project_client.agents.delete_agent.assert_called_once_with(
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"agent-to-delete", headers={"User-Agent": f"agent-framework-python/{AF_VERSION}"}
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)
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assert not chat_client._should_delete_agent # type: ignore
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async def test_foundry_chat_client_cleanup_agent_if_needed_should_not_delete(
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mock_ai_project_client: MagicMock,
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) -> None:
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"""Test _cleanup_agent_if_needed when agent should not be deleted."""
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chat_client = create_test_foundry_chat_client(
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mock_ai_project_client, agent_id="agent-to-keep", should_delete_agent=False
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)
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await chat_client._cleanup_agent_if_needed() # type: ignore
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# Verify agent deletion was not called
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mock_ai_project_client.agents.delete_agent.assert_not_called()
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assert not chat_client._should_delete_agent # type: ignore
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async def test_foundry_chat_client_cleanup_agent_if_needed_exception_handling(
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mock_ai_project_client: MagicMock,
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) -> None:
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"""Test _cleanup_agent_if_needed propagates exceptions (it doesn't handle them)."""
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chat_client = create_test_foundry_chat_client(
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mock_ai_project_client, agent_id="agent-to-delete", should_delete_agent=True
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)
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mock_ai_project_client.agents.delete_agent.side_effect = Exception("Deletion failed")
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with pytest.raises(Exception, match="Deletion failed"):
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await chat_client._cleanup_agent_if_needed() # type: ignore
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async def test_foundry_chat_client_aclose(mock_ai_project_client: MagicMock) -> None:
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"""Test aclose method calls cleanup."""
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chat_client = create_test_foundry_chat_client(
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mock_ai_project_client, agent_id="agent-to-delete", should_delete_agent=True
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)
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await chat_client.close()
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# Verify agent deletion was called
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mock_ai_project_client.agents.delete_agent.assert_called_once_with(
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"agent-to-delete", headers={"User-Agent": f"agent-framework-python/{AF_VERSION}"}
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)
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async def test_foundry_chat_client_async_context_manager(mock_ai_project_client: MagicMock) -> None:
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"""Test async context manager functionality."""
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chat_client = create_test_foundry_chat_client(
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mock_ai_project_client, agent_id="agent-to-delete", should_delete_agent=True
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)
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# Test context manager
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async with chat_client:
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pass # Just test that we can enter and exit
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# Verify cleanup was called on exit
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mock_ai_project_client.agents.delete_agent.assert_called_once_with(
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"agent-to-delete", headers={"User-Agent": f"agent-framework-python/{AF_VERSION}"}
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)
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def test_foundry_chat_client_create_run_options_basic(mock_ai_project_client: MagicMock) -> None:
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"""Test _create_run_options with basic ChatOptions."""
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chat_client = create_test_foundry_chat_client(mock_ai_project_client)
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messages = [ChatMessage(role=Role.USER, text="Hello")]
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chat_options = ChatOptions(max_tokens=100, temperature=0.7)
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run_options, tool_results = chat_client._create_run_options(messages, chat_options) # type: ignore
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assert run_options is not None
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assert tool_results is None
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def test_foundry_chat_client_create_run_options_no_chat_options(mock_ai_project_client: MagicMock) -> None:
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"""Test _create_run_options with no ChatOptions."""
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chat_client = create_test_foundry_chat_client(mock_ai_project_client)
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messages = [ChatMessage(role=Role.USER, text="Hello")]
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run_options, tool_results = chat_client._create_run_options(messages, None) # type: ignore
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assert run_options is not None
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assert tool_results is None
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def test_foundry_chat_client_create_run_options_with_image_content(mock_ai_project_client: MagicMock) -> None:
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"""Test _create_run_options with image content."""
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chat_client = create_test_foundry_chat_client(mock_ai_project_client, agent_id="test-agent")
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image_content = UriContent(uri="https://example.com/image.jpg", media_type="image/jpeg")
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messages = [ChatMessage(role=Role.USER, contents=[image_content])]
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run_options, _ = chat_client._create_run_options(messages, None) # type: ignore
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assert "additional_messages" in run_options
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assert len(run_options["additional_messages"]) == 1
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# Verify image was converted to MessageInputImageUrlBlock
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message = run_options["additional_messages"][0]
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assert len(message.content) == 1
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def test_foundry_chat_client_convert_function_results_to_tool_output_none(mock_ai_project_client: MagicMock) -> None:
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"""Test _convert_function_results_to_tool_output with None input."""
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chat_client = create_test_foundry_chat_client(mock_ai_project_client)
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run_id, tool_outputs = chat_client._convert_function_results_to_tool_output(None) # type: ignore
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assert run_id is None
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assert tool_outputs is None
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async def test_foundry_chat_client_close_client_when_should_close_true(mock_ai_project_client: MagicMock) -> None:
|
|
"""Test _close_client_if_needed closes client when should_close_client is True."""
|
|
chat_client = create_test_foundry_chat_client(mock_ai_project_client)
|
|
chat_client._should_close_client = True # type: ignore
|
|
|
|
mock_ai_project_client.close = AsyncMock()
|
|
|
|
await chat_client._close_client_if_needed() # type: ignore
|
|
|
|
mock_ai_project_client.close.assert_called_once()
|
|
|
|
|
|
async def test_foundry_chat_client_close_client_when_should_close_false(mock_ai_project_client: MagicMock) -> None:
|
|
"""Test _close_client_if_needed does not close client when should_close_client is False."""
|
|
chat_client = create_test_foundry_chat_client(mock_ai_project_client)
|
|
chat_client._should_close_client = False # type: ignore
|
|
|
|
await chat_client._close_client_if_needed() # type: ignore
|
|
|
|
mock_ai_project_client.close.assert_not_called()
|
|
|
|
|
|
def test_foundry_chat_client_update_agent_name_when_current_is_none(mock_ai_project_client: MagicMock) -> None:
|
|
"""Test _update_agent_name updates name when current agent_name is None."""
|
|
chat_client = create_test_foundry_chat_client(mock_ai_project_client)
|
|
chat_client.agent_name = None # type: ignore
|
|
|
|
chat_client._update_agent_name("NewAgentName") # type: ignore
|
|
|
|
assert chat_client.agent_name == "NewAgentName"
|
|
|
|
|
|
def test_foundry_chat_client_update_agent_name_when_current_exists(mock_ai_project_client: MagicMock) -> None:
|
|
"""Test _update_agent_name does not update when current agent_name exists."""
|
|
chat_client = create_test_foundry_chat_client(mock_ai_project_client)
|
|
chat_client.agent_name = "ExistingName" # type: ignore
|
|
|
|
chat_client._update_agent_name("NewAgentName") # type: ignore
|
|
|
|
assert chat_client.agent_name == "ExistingName"
|
|
|
|
|
|
def test_foundry_chat_client_update_agent_name_with_none_input(mock_ai_project_client: MagicMock) -> None:
|
|
"""Test _update_agent_name with None input."""
|
|
chat_client = create_test_foundry_chat_client(mock_ai_project_client)
|
|
chat_client.agent_name = None # type: ignore
|
|
|
|
chat_client._update_agent_name(None) # type: ignore
|
|
|
|
assert chat_client.agent_name is None
|
|
|
|
|
|
def test_foundry_chat_client_create_run_options_with_messages(mock_ai_project_client: MagicMock) -> None:
|
|
"""Test _create_run_options with different message types."""
|
|
chat_client = create_test_foundry_chat_client(mock_ai_project_client)
|
|
|
|
# Test with system message (becomes instruction)
|
|
messages = [
|
|
ChatMessage(role=Role.SYSTEM, text="You are a helpful assistant"),
|
|
ChatMessage(role=Role.USER, text="Hello"),
|
|
]
|
|
|
|
run_options, _ = chat_client._create_run_options(messages, None) # type: ignore
|
|
|
|
assert "instructions" in run_options
|
|
assert "You are a helpful assistant" in run_options["instructions"]
|
|
assert "additional_messages" in run_options
|
|
assert len(run_options["additional_messages"]) == 1 # Only user message
|
|
|
|
|
|
async def test_foundry_chat_client_inner_get_response(mock_ai_project_client: MagicMock) -> None:
|
|
"""Test _inner_get_response method."""
|
|
chat_client = create_test_foundry_chat_client(mock_ai_project_client, agent_id="test-agent")
|
|
messages = [ChatMessage(role=Role.USER, text="Hello")]
|
|
chat_options = ChatOptions()
|
|
|
|
async def mock_streaming_response():
|
|
yield ChatResponseUpdate(role=Role.ASSISTANT, text="Hello back")
|
|
|
|
with (
|
|
patch.object(chat_client, "_inner_get_streaming_response", return_value=mock_streaming_response()),
|
|
patch("agent_framework.ChatResponse.from_chat_response_generator") as mock_from_generator,
|
|
):
|
|
mock_response = ChatResponse(role=Role.ASSISTANT, text="Hello back")
|
|
mock_from_generator.return_value = mock_response
|
|
|
|
result = await chat_client._inner_get_response(messages=messages, chat_options=chat_options) # type: ignore
|
|
|
|
assert result is mock_response
|
|
mock_from_generator.assert_called_once()
|
|
|
|
|
|
async def test_foundry_chat_client_get_agent_id_or_create_with_run_options(
|
|
mock_ai_project_client: MagicMock, foundry_unit_test_env: dict[str, str]
|
|
) -> None:
|
|
"""Test _get_agent_id_or_create with run_options containing tools and instructions."""
|
|
foundry_settings = FoundrySettings(
|
|
model_deployment_name=foundry_unit_test_env["FOUNDRY_MODEL_DEPLOYMENT_NAME"], agent_name="TestAgent"
|
|
)
|
|
chat_client = create_test_foundry_chat_client(mock_ai_project_client, foundry_settings=foundry_settings)
|
|
|
|
run_options = {
|
|
"tools": [{"type": "function", "function": {"name": "test_tool"}}],
|
|
"instructions": "Test instructions",
|
|
"response_format": {"type": "json_object"},
|
|
}
|
|
|
|
agent_id = await chat_client._get_agent_id_or_create(run_options) # type: ignore
|
|
|
|
assert agent_id == "test-agent-id"
|
|
# Verify create_agent was called with run_options parameters
|
|
mock_ai_project_client.agents.create_agent.assert_called_once()
|
|
call_args = mock_ai_project_client.agents.create_agent.call_args[1]
|
|
assert "tools" in call_args
|
|
assert "instructions" in call_args
|
|
assert "response_format" in call_args
|
|
|
|
|
|
async def test_foundry_chat_client_prepare_thread_cancels_active_run(mock_ai_project_client: MagicMock) -> None:
|
|
"""Test _prepare_thread cancels active thread run when provided."""
|
|
chat_client = create_test_foundry_chat_client(mock_ai_project_client, agent_id="test-agent")
|
|
|
|
mock_thread_run = MagicMock()
|
|
mock_thread_run.id = "run_123"
|
|
mock_thread_run.thread_id = "test-thread"
|
|
|
|
run_options = {"additional_messages": []} # type: ignore
|
|
|
|
result = await chat_client._prepare_thread("test-thread", mock_thread_run, run_options) # type: ignore
|
|
|
|
assert result == "test-thread"
|
|
mock_ai_project_client.agents.runs.cancel.assert_called_once_with(
|
|
"test-thread", "run_123", headers={"User-Agent": f"agent-framework-python/{AF_VERSION}"}
|
|
)
|
|
|
|
|
|
def test_foundry_chat_client_create_function_call_contents_basic(mock_ai_project_client: MagicMock) -> None:
|
|
"""Test _create_function_call_contents with basic function call."""
|
|
chat_client = create_test_foundry_chat_client(mock_ai_project_client)
|
|
|
|
mock_tool_call = MagicMock(spec=RequiredFunctionToolCall)
|
|
mock_tool_call.id = "call_123"
|
|
mock_tool_call.function.name = "get_weather"
|
|
mock_tool_call.function.arguments = '{"location": "Seattle"}'
|
|
|
|
mock_submit_action = MagicMock(spec=SubmitToolOutputsAction)
|
|
mock_submit_action.submit_tool_outputs.tool_calls = [mock_tool_call]
|
|
|
|
mock_event_data = MagicMock(spec=ThreadRun)
|
|
mock_event_data.required_action = mock_submit_action
|
|
|
|
result = chat_client._create_function_call_contents(mock_event_data, "response_123") # type: ignore
|
|
|
|
assert len(result) == 1
|
|
assert isinstance(result[0], FunctionCallContent)
|
|
assert result[0].name == "get_weather"
|
|
assert result[0].call_id == '["response_123", "call_123"]'
|
|
|
|
|
|
def test_foundry_chat_client_create_function_call_contents_no_submit_action(mock_ai_project_client: MagicMock) -> None:
|
|
"""Test _create_function_call_contents when required_action is not SubmitToolOutputsAction."""
|
|
chat_client = create_test_foundry_chat_client(mock_ai_project_client)
|
|
|
|
mock_event_data = MagicMock(spec=ThreadRun)
|
|
mock_event_data.required_action = MagicMock()
|
|
|
|
result = chat_client._create_function_call_contents(mock_event_data, "response_123") # type: ignore
|
|
|
|
assert result == []
|
|
|
|
|
|
def test_foundry_chat_client_create_function_call_contents_non_function_tool_call(
|
|
mock_ai_project_client: MagicMock,
|
|
) -> None:
|
|
"""Test _create_function_call_contents with non-function tool call."""
|
|
chat_client = create_test_foundry_chat_client(mock_ai_project_client)
|
|
|
|
mock_tool_call = MagicMock()
|
|
|
|
mock_submit_action = MagicMock(spec=SubmitToolOutputsAction)
|
|
mock_submit_action.submit_tool_outputs.tool_calls = [mock_tool_call]
|
|
|
|
mock_event_data = MagicMock(spec=ThreadRun)
|
|
mock_event_data.required_action = mock_submit_action
|
|
|
|
result = chat_client._create_function_call_contents(mock_event_data, "response_123") # type: ignore
|
|
|
|
assert result == []
|
|
|
|
|
|
def get_weather(
|
|
location: Annotated[str, Field(description="The location to get the weather for.")],
|
|
) -> str:
|
|
"""Get the weather for a given location."""
|
|
return f"The weather in {location} is sunny with a high of 25°C."
|
|
|
|
|
|
@skip_if_foundry_integration_tests_disabled
|
|
async def test_foundry_chat_client_get_response() -> None:
|
|
"""Test Foundry Chat Client response."""
|
|
async with FoundryChatClient(async_credential=AzureCliCredential()) as foundry_chat_client:
|
|
assert isinstance(foundry_chat_client, ChatClientProtocol)
|
|
|
|
messages: list[ChatMessage] = []
|
|
messages.append(
|
|
ChatMessage(
|
|
role="user",
|
|
text="The weather in Seattle is currently sunny with a high of 25°C. "
|
|
"It's a beautiful day for outdoor activities.",
|
|
)
|
|
)
|
|
messages.append(ChatMessage(role="user", text="What's the weather like today?"))
|
|
|
|
# Test that the client can be used to get a response
|
|
response = await foundry_chat_client.get_response(messages=messages)
|
|
|
|
assert response is not None
|
|
assert isinstance(response, ChatResponse)
|
|
assert any(word in response.text.lower() for word in ["sunny", "25"])
|
|
|
|
|
|
@skip_if_foundry_integration_tests_disabled
|
|
async def test_foundry_chat_client_get_response_tools() -> None:
|
|
"""Test Foundry Chat Client response with tools."""
|
|
async with FoundryChatClient(async_credential=AzureCliCredential()) as foundry_chat_client:
|
|
assert isinstance(foundry_chat_client, ChatClientProtocol)
|
|
|
|
messages: list[ChatMessage] = []
|
|
messages.append(ChatMessage(role="user", text="What's the weather like in Seattle?"))
|
|
|
|
# Test that the client can be used to get a response
|
|
response = await foundry_chat_client.get_response(
|
|
messages=messages,
|
|
tools=[get_weather],
|
|
tool_choice="auto",
|
|
)
|
|
|
|
assert response is not None
|
|
assert isinstance(response, ChatResponse)
|
|
assert any(word in response.text.lower() for word in ["sunny", "25"])
|
|
|
|
|
|
@skip_if_foundry_integration_tests_disabled
|
|
async def test_foundry_chat_client_streaming() -> None:
|
|
"""Test Foundry Chat Client streaming response."""
|
|
async with FoundryChatClient(async_credential=AzureCliCredential()) as foundry_chat_client:
|
|
assert isinstance(foundry_chat_client, ChatClientProtocol)
|
|
|
|
messages: list[ChatMessage] = []
|
|
messages.append(
|
|
ChatMessage(
|
|
role="user",
|
|
text="The weather in Seattle is currently sunny with a high of 25°C. "
|
|
"It's a beautiful day for outdoor activities.",
|
|
)
|
|
)
|
|
messages.append(ChatMessage(role="user", text="What's the weather like today?"))
|
|
|
|
# Test that the client can be used to get a response
|
|
response = foundry_chat_client.get_streaming_response(messages=messages)
|
|
|
|
full_message: str = ""
|
|
async for chunk in response:
|
|
assert chunk is not None
|
|
assert isinstance(chunk, ChatResponseUpdate)
|
|
for content in chunk.contents:
|
|
if isinstance(content, TextContent) and content.text:
|
|
full_message += content.text
|
|
|
|
assert any(word in full_message.lower() for word in ["sunny", "25"])
|
|
|
|
|
|
@skip_if_foundry_integration_tests_disabled
|
|
async def test_foundry_chat_client_streaming_tools() -> None:
|
|
"""Test Foundry Chat Client streaming response with tools."""
|
|
async with FoundryChatClient(async_credential=AzureCliCredential()) as foundry_chat_client:
|
|
assert isinstance(foundry_chat_client, ChatClientProtocol)
|
|
|
|
messages: list[ChatMessage] = []
|
|
messages.append(ChatMessage(role="user", text="What's the weather like in Seattle?"))
|
|
|
|
# Test that the client can be used to get a response
|
|
response = foundry_chat_client.get_streaming_response(
|
|
messages=messages,
|
|
tools=[get_weather],
|
|
tool_choice="auto",
|
|
)
|
|
full_message: str = ""
|
|
async for chunk in response:
|
|
assert chunk is not None
|
|
assert isinstance(chunk, ChatResponseUpdate)
|
|
for content in chunk.contents:
|
|
if isinstance(content, TextContent) and content.text:
|
|
full_message += content.text
|
|
|
|
assert any(word in full_message.lower() for word in ["sunny", "25"])
|
|
|
|
|
|
@skip_if_foundry_integration_tests_disabled
|
|
async def test_foundry_chat_client_agent_basic_run() -> None:
|
|
"""Test ChatAgent basic run functionality with FoundryChatClient."""
|
|
async with ChatAgent(
|
|
chat_client=FoundryChatClient(async_credential=AzureCliCredential()),
|
|
) as agent:
|
|
# Run a simple query
|
|
response = await agent.run("Hello! Please respond with 'Hello World' exactly.")
|
|
|
|
# Validate response
|
|
assert isinstance(response, AgentRunResponse)
|
|
assert response.text is not None
|
|
assert len(response.text) > 0
|
|
assert "Hello World" in response.text
|
|
|
|
|
|
@skip_if_foundry_integration_tests_disabled
|
|
async def test_foundry_chat_client_agent_basic_run_streaming() -> None:
|
|
"""Test ChatAgent basic streaming functionality with FoundryChatClient."""
|
|
async with ChatAgent(
|
|
chat_client=FoundryChatClient(async_credential=AzureCliCredential()),
|
|
) as agent:
|
|
# Run streaming query
|
|
full_message: str = ""
|
|
async for chunk in agent.run_stream("Please respond with exactly: 'This is a streaming response test.'"):
|
|
assert chunk is not None
|
|
assert isinstance(chunk, AgentRunResponseUpdate)
|
|
if chunk.text:
|
|
full_message += chunk.text
|
|
|
|
# Validate streaming response
|
|
assert len(full_message) > 0
|
|
assert "streaming response test" in full_message.lower()
|
|
|
|
|
|
@skip_if_foundry_integration_tests_disabled
|
|
async def test_foundry_chat_client_agent_thread_persistence() -> None:
|
|
"""Test ChatAgent thread persistence across runs with FoundryChatClient."""
|
|
async with ChatAgent(
|
|
chat_client=FoundryChatClient(async_credential=AzureCliCredential()),
|
|
instructions="You are a helpful assistant with good memory.",
|
|
) as agent:
|
|
# Create a new thread that will be reused
|
|
thread = agent.get_new_thread()
|
|
|
|
# First message - establish context
|
|
first_response = await agent.run(
|
|
"Remember this number: 42. What number did I just tell you to remember?", thread=thread
|
|
)
|
|
assert isinstance(first_response, AgentRunResponse)
|
|
assert "42" in first_response.text
|
|
|
|
# Second message - test conversation memory
|
|
second_response = await agent.run(
|
|
"What number did I tell you to remember in my previous message?", thread=thread
|
|
)
|
|
assert isinstance(second_response, AgentRunResponse)
|
|
assert "42" in second_response.text
|
|
|
|
|
|
@skip_if_foundry_integration_tests_disabled
|
|
async def test_foundry_chat_client_agent_existing_thread_id() -> None:
|
|
"""Test ChatAgent existing thread ID functionality with FoundryChatClient."""
|
|
async with ChatAgent(
|
|
chat_client=FoundryChatClient(async_credential=AzureCliCredential()),
|
|
instructions="You are a helpful assistant with good memory.",
|
|
) as first_agent:
|
|
# Start a conversation and get the thread ID
|
|
thread = first_agent.get_new_thread()
|
|
first_response = await first_agent.run("My name is Alice. Remember this.", thread=thread)
|
|
|
|
# Validate first response
|
|
assert isinstance(first_response, AgentRunResponse)
|
|
assert first_response.text is not None
|
|
|
|
# The thread ID is set after the first response
|
|
existing_thread_id = thread.service_thread_id
|
|
assert existing_thread_id is not None
|
|
|
|
# Now continue with the same thread ID in a new agent instance
|
|
async with ChatAgent(
|
|
chat_client=FoundryChatClient(thread_id=existing_thread_id, async_credential=AzureCliCredential()),
|
|
instructions="You are a helpful assistant with good memory.",
|
|
) as second_agent:
|
|
# Create a thread with the existing ID
|
|
thread = AgentThread(service_thread_id=existing_thread_id)
|
|
|
|
# Ask about the previous conversation
|
|
response2 = await second_agent.run("What is my name?", thread=thread)
|
|
|
|
# Validate that the agent remembers the previous conversation
|
|
assert isinstance(response2, AgentRunResponse)
|
|
assert response2.text is not None
|
|
# Should reference Alice from the previous conversation
|
|
assert "alice" in response2.text.lower()
|
|
|
|
|
|
@skip_if_foundry_integration_tests_disabled
|
|
async def test_foundry_chat_client_agent_code_interpreter():
|
|
"""Test ChatAgent with code interpreter through FoundryChatClient."""
|
|
|
|
async with ChatAgent(
|
|
chat_client=FoundryChatClient(async_credential=AzureCliCredential()),
|
|
instructions="You are a helpful assistant that can write and execute Python code.",
|
|
tools=[HostedCodeInterpreterTool()],
|
|
) as agent:
|
|
# Request code execution
|
|
response = await agent.run("Write Python code to calculate the factorial of 5 and show the result.")
|
|
|
|
# Validate response
|
|
assert isinstance(response, AgentRunResponse)
|
|
assert response.text is not None
|
|
# Factorial of 5 is 120
|
|
assert "120" in response.text or "factorial" in response.text.lower()
|
|
|
|
|
|
@skip_if_foundry_integration_tests_disabled
|
|
async def test_foundry_chat_client_agent_with_mcp_tools() -> None:
|
|
"""Test MCP tools defined at agent creation with FoundryChatClient."""
|
|
async with ChatAgent(
|
|
chat_client=FoundryChatClient(async_credential=AzureCliCredential()),
|
|
name="DocsAgent",
|
|
instructions="You are a helpful assistant that can help with microsoft documentation questions.",
|
|
tools=MCPStreamableHTTPTool(
|
|
name="Microsoft Learn MCP",
|
|
url="https://learn.microsoft.com/api/mcp",
|
|
),
|
|
) as agent:
|
|
# Test that the agent can use MCP tools to answer questions
|
|
response = await agent.run("What is Azure App Service?")
|
|
|
|
assert isinstance(response, AgentRunResponse)
|
|
assert response.text is not None
|
|
# Verify the response contains relevant information about Azure App Service
|
|
assert any(term in response.text.lower() for term in ["app service", "azure", "web", "application"])
|
|
|
|
|
|
@skip_if_foundry_integration_tests_disabled
|
|
async def test_foundry_chat_client_agent_level_tool_persistence():
|
|
"""Test that agent-level tools persist across multiple runs with FoundryChatClient."""
|
|
async with ChatAgent(
|
|
chat_client=FoundryChatClient(async_credential=AzureCliCredential()),
|
|
instructions="You are a helpful assistant that uses available tools.",
|
|
tools=[get_weather],
|
|
) as agent:
|
|
# First run - agent-level tool should be available
|
|
first_response = await agent.run("What's the weather like in Chicago?")
|
|
|
|
assert isinstance(first_response, AgentRunResponse)
|
|
assert first_response.text is not None
|
|
# Should use the agent-level weather tool
|
|
assert any(term in first_response.text.lower() for term in ["chicago", "sunny", "25"])
|
|
|
|
# Second run - agent-level tool should still be available (persistence test)
|
|
second_response = await agent.run("What's the weather in Miami?")
|
|
|
|
assert isinstance(second_response, AgentRunResponse)
|
|
assert second_response.text is not None
|
|
# Should use the agent-level weather tool again
|
|
assert any(term in second_response.text.lower() for term in ["miami", "sunny", "25"])
|