mirror of
https://github.com/microsoft/agent-framework.git
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12d17acdc0
* initial version of anthropic connector * updated implementation and added tests * fix type and readme * mypy fix and int tests enabled * add integration test setup * updated based on comments * improved function result handling * added extra unordered test * updated from review * fix tool choice handling * same fix for chat client
778 lines
28 KiB
Python
778 lines
28 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 MagicMock, patch
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import pytest
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from agent_framework import (
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ChatClientProtocol,
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ChatMessage,
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ChatOptions,
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ChatResponseUpdate,
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FinishReason,
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FunctionCallContent,
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FunctionResultContent,
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HostedCodeInterpreterTool,
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HostedMCPTool,
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HostedWebSearchTool,
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Role,
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TextContent,
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TextReasoningContent,
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ai_function,
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)
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from agent_framework.exceptions import ServiceInitializationError
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from anthropic.types.beta import (
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BetaMessage,
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BetaTextBlock,
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BetaToolUseBlock,
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BetaUsage,
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)
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from pydantic import Field, ValidationError
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from agent_framework_anthropic import AnthropicClient
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from agent_framework_anthropic._chat_client import AnthropicSettings
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skip_if_anthropic_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("ANTHROPIC_API_KEY", "") in ("", "test-api-key-12345"),
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reason="No real ANTHROPIC_API_KEY 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_anthropic_client(
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mock_anthropic_client: MagicMock,
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model_id: str | None = None,
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anthropic_settings: AnthropicSettings | None = None,
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) -> AnthropicClient:
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"""Helper function to create AnthropicClient instances for testing, bypassing normal validation."""
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if anthropic_settings is None:
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anthropic_settings = AnthropicSettings(api_key="test-api-key-12345", chat_model_id="claude-3-5-sonnet-20241022")
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# Create client instance directly
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client = object.__new__(AnthropicClient)
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# Set attributes directly
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client.anthropic_client = mock_anthropic_client
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client.model_id = model_id or anthropic_settings.chat_model_id
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client._last_call_id_name = None
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client.additional_properties = {}
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client.middleware = None
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return client
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# Settings Tests
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def test_anthropic_settings_init(anthropic_unit_test_env: dict[str, str]) -> None:
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"""Test AnthropicSettings initialization."""
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settings = AnthropicSettings()
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assert settings.api_key is not None
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assert settings.api_key.get_secret_value() == anthropic_unit_test_env["ANTHROPIC_API_KEY"]
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assert settings.chat_model_id == anthropic_unit_test_env["ANTHROPIC_CHAT_MODEL_ID"]
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def test_anthropic_settings_init_with_explicit_values() -> None:
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"""Test AnthropicSettings initialization with explicit values."""
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settings = AnthropicSettings(
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api_key="custom-api-key",
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chat_model_id="claude-3-opus-20240229",
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)
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assert settings.api_key is not None
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assert settings.api_key.get_secret_value() == "custom-api-key"
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assert settings.chat_model_id == "claude-3-opus-20240229"
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@pytest.mark.parametrize("exclude_list", [["ANTHROPIC_API_KEY"]], indirect=True)
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def test_anthropic_settings_missing_api_key(anthropic_unit_test_env: dict[str, str]) -> None:
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"""Test AnthropicSettings when API key is missing."""
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settings = AnthropicSettings()
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assert settings.api_key is None
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assert settings.chat_model_id == anthropic_unit_test_env["ANTHROPIC_CHAT_MODEL_ID"]
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# Client Initialization Tests
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def test_anthropic_client_init_with_client(mock_anthropic_client: MagicMock) -> None:
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"""Test AnthropicClient initialization with existing anthropic_client."""
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chat_client = create_test_anthropic_client(mock_anthropic_client, model_id="claude-3-5-sonnet-20241022")
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assert chat_client.anthropic_client is mock_anthropic_client
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assert chat_client.model_id == "claude-3-5-sonnet-20241022"
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assert isinstance(chat_client, ChatClientProtocol)
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def test_anthropic_client_init_auto_create_client(anthropic_unit_test_env: dict[str, str]) -> None:
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"""Test AnthropicClient initialization with auto-created anthropic_client."""
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client = AnthropicClient(
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api_key=anthropic_unit_test_env["ANTHROPIC_API_KEY"],
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model_id=anthropic_unit_test_env["ANTHROPIC_CHAT_MODEL_ID"],
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)
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assert client.anthropic_client is not None
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assert client.model_id == anthropic_unit_test_env["ANTHROPIC_CHAT_MODEL_ID"]
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def test_anthropic_client_init_missing_api_key() -> None:
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"""Test AnthropicClient initialization when API key is missing."""
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with patch("agent_framework_anthropic._chat_client.AnthropicSettings") as mock_settings:
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mock_settings.return_value.api_key = None
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mock_settings.return_value.chat_model_id = "claude-3-5-sonnet-20241022"
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with pytest.raises(ServiceInitializationError, match="Anthropic API key is required"):
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AnthropicClient()
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def test_anthropic_client_init_validation_error() -> None:
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"""Test that ValidationError in AnthropicSettings is properly handled."""
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with patch("agent_framework_anthropic._chat_client.AnthropicSettings") as mock_settings:
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mock_settings.side_effect = ValidationError.from_exception_data("test", [])
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with pytest.raises(ServiceInitializationError, match="Failed to create Anthropic settings"):
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AnthropicClient()
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def test_anthropic_client_service_url(mock_anthropic_client: MagicMock) -> None:
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"""Test service_url method."""
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chat_client = create_test_anthropic_client(mock_anthropic_client)
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assert chat_client.service_url() == "https://api.anthropic.com"
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# Message Conversion Tests
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def test_convert_message_to_anthropic_format_text(mock_anthropic_client: MagicMock) -> None:
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"""Test converting text message to Anthropic format."""
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chat_client = create_test_anthropic_client(mock_anthropic_client)
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message = ChatMessage(role=Role.USER, text="Hello, world!")
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result = chat_client._convert_message_to_anthropic_format(message)
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assert result["role"] == "user"
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assert len(result["content"]) == 1
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assert result["content"][0]["type"] == "text"
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assert result["content"][0]["text"] == "Hello, world!"
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def test_convert_message_to_anthropic_format_function_call(mock_anthropic_client: MagicMock) -> None:
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"""Test converting function call message to Anthropic format."""
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chat_client = create_test_anthropic_client(mock_anthropic_client)
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message = ChatMessage(
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role=Role.ASSISTANT,
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contents=[
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FunctionCallContent(
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call_id="call_123",
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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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result = chat_client._convert_message_to_anthropic_format(message)
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assert result["role"] == "assistant"
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assert len(result["content"]) == 1
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assert result["content"][0]["type"] == "tool_use"
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assert result["content"][0]["id"] == "call_123"
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assert result["content"][0]["name"] == "get_weather"
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assert result["content"][0]["input"] == {"location": "San Francisco"}
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def test_convert_message_to_anthropic_format_function_result(mock_anthropic_client: MagicMock) -> None:
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"""Test converting function result message to Anthropic format."""
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chat_client = create_test_anthropic_client(mock_anthropic_client)
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message = ChatMessage(
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role=Role.TOOL,
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contents=[
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FunctionResultContent(
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call_id="call_123",
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name="get_weather",
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result="Sunny, 72°F",
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)
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],
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)
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result = chat_client._convert_message_to_anthropic_format(message)
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assert result["role"] == "user"
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assert len(result["content"]) == 1
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assert result["content"][0]["type"] == "tool_result"
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assert result["content"][0]["tool_use_id"] == "call_123"
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# The degree symbol might be escaped differently depending on JSON encoder
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assert "Sunny" in result["content"][0]["content"]
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assert "72" in result["content"][0]["content"]
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assert result["content"][0]["is_error"] is False
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def test_convert_message_to_anthropic_format_text_reasoning(mock_anthropic_client: MagicMock) -> None:
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"""Test converting text reasoning message to Anthropic format."""
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chat_client = create_test_anthropic_client(mock_anthropic_client)
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message = ChatMessage(
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role=Role.ASSISTANT,
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contents=[TextReasoningContent(text="Let me think about this...")],
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)
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result = chat_client._convert_message_to_anthropic_format(message)
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assert result["role"] == "assistant"
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assert len(result["content"]) == 1
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assert result["content"][0]["type"] == "thinking"
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assert result["content"][0]["thinking"] == "Let me think about this..."
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def test_convert_messages_to_anthropic_format_with_system(mock_anthropic_client: MagicMock) -> None:
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"""Test converting messages list with system message."""
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chat_client = create_test_anthropic_client(mock_anthropic_client)
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messages = [
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ChatMessage(role=Role.SYSTEM, text="You are a helpful assistant."),
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ChatMessage(role=Role.USER, text="Hello!"),
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]
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result = chat_client._convert_messages_to_anthropic_format(messages)
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# System message should be skipped
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assert len(result) == 1
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assert result[0]["role"] == "user"
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assert result[0]["content"][0]["text"] == "Hello!"
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def test_convert_messages_to_anthropic_format_without_system(mock_anthropic_client: MagicMock) -> None:
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"""Test converting messages list without system message."""
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chat_client = create_test_anthropic_client(mock_anthropic_client)
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messages = [
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ChatMessage(role=Role.USER, text="Hello!"),
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ChatMessage(role=Role.ASSISTANT, text="Hi there!"),
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]
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result = chat_client._convert_messages_to_anthropic_format(messages)
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assert len(result) == 2
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assert result[0]["role"] == "user"
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assert result[1]["role"] == "assistant"
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# Tool Conversion Tests
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def test_convert_tools_to_anthropic_format_ai_function(mock_anthropic_client: MagicMock) -> None:
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"""Test converting AIFunction to Anthropic format."""
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chat_client = create_test_anthropic_client(mock_anthropic_client)
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@ai_function
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def get_weather(location: Annotated[str, Field(description="Location to get weather for")]) -> str:
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"""Get weather for a location."""
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return f"Weather for {location}"
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tools = [get_weather]
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result = chat_client._convert_tools_to_anthropic_format(tools)
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assert result is not None
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assert "tools" in result
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assert len(result["tools"]) == 1
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assert result["tools"][0]["type"] == "custom"
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assert result["tools"][0]["name"] == "get_weather"
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assert "Get weather for a location" in result["tools"][0]["description"]
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def test_convert_tools_to_anthropic_format_web_search(mock_anthropic_client: MagicMock) -> None:
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"""Test converting HostedWebSearchTool to Anthropic format."""
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chat_client = create_test_anthropic_client(mock_anthropic_client)
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tools = [HostedWebSearchTool()]
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result = chat_client._convert_tools_to_anthropic_format(tools)
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assert result is not None
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assert "tools" in result
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assert len(result["tools"]) == 1
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assert result["tools"][0]["type"] == "web_search_20250305"
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assert result["tools"][0]["name"] == "web_search"
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def test_convert_tools_to_anthropic_format_code_interpreter(mock_anthropic_client: MagicMock) -> None:
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"""Test converting HostedCodeInterpreterTool to Anthropic format."""
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chat_client = create_test_anthropic_client(mock_anthropic_client)
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tools = [HostedCodeInterpreterTool()]
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result = chat_client._convert_tools_to_anthropic_format(tools)
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assert result is not None
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assert "tools" in result
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assert len(result["tools"]) == 1
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assert result["tools"][0]["type"] == "code_execution_20250825"
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assert result["tools"][0]["name"] == "code_interpreter"
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def test_convert_tools_to_anthropic_format_mcp_tool(mock_anthropic_client: MagicMock) -> None:
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"""Test converting HostedMCPTool to Anthropic format."""
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chat_client = create_test_anthropic_client(mock_anthropic_client)
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tools = [HostedMCPTool(name="test-mcp", url="https://example.com/mcp")]
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result = chat_client._convert_tools_to_anthropic_format(tools)
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assert result is not None
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assert "mcp_servers" in result
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assert len(result["mcp_servers"]) == 1
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assert result["mcp_servers"][0]["type"] == "url"
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assert result["mcp_servers"][0]["name"] == "test-mcp"
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assert result["mcp_servers"][0]["url"] == "https://example.com/mcp"
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def test_convert_tools_to_anthropic_format_mcp_with_auth(mock_anthropic_client: MagicMock) -> None:
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"""Test converting HostedMCPTool with authorization headers."""
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chat_client = create_test_anthropic_client(mock_anthropic_client)
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tools = [
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HostedMCPTool(
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name="test-mcp",
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url="https://example.com/mcp",
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headers={"authorization": "Bearer token123"},
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)
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]
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result = chat_client._convert_tools_to_anthropic_format(tools)
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assert result is not None
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assert "mcp_servers" in result
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# The authorization header is converted to authorization_token
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assert "authorization_token" in result["mcp_servers"][0]
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assert result["mcp_servers"][0]["authorization_token"] == "Bearer token123"
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def test_convert_tools_to_anthropic_format_dict_tool(mock_anthropic_client: MagicMock) -> None:
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"""Test converting dict tool to Anthropic format."""
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chat_client = create_test_anthropic_client(mock_anthropic_client)
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tools = [{"type": "custom", "name": "custom_tool", "description": "A custom tool"}]
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result = chat_client._convert_tools_to_anthropic_format(tools)
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assert result is not None
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assert "tools" in result
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assert len(result["tools"]) == 1
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assert result["tools"][0]["name"] == "custom_tool"
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def test_convert_tools_to_anthropic_format_none(mock_anthropic_client: MagicMock) -> None:
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"""Test converting None tools."""
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chat_client = create_test_anthropic_client(mock_anthropic_client)
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result = chat_client._convert_tools_to_anthropic_format(None)
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assert result is None
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# Run Options Tests
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async def test_create_run_options_basic(mock_anthropic_client: MagicMock) -> None:
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"""Test _create_run_options with basic ChatOptions."""
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chat_client = create_test_anthropic_client(mock_anthropic_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 = chat_client._create_run_options(messages, chat_options)
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assert run_options["model"] == chat_client.model_id
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assert run_options["max_tokens"] == 100
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assert run_options["temperature"] == 0.7
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assert "messages" in run_options
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async def test_create_run_options_with_system_message(mock_anthropic_client: MagicMock) -> None:
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"""Test _create_run_options with system message."""
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chat_client = create_test_anthropic_client(mock_anthropic_client)
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messages = [
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ChatMessage(role=Role.SYSTEM, text="You are helpful."),
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ChatMessage(role=Role.USER, text="Hello"),
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]
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chat_options = ChatOptions()
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run_options = chat_client._create_run_options(messages, chat_options)
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assert run_options["system"] == "You are helpful."
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assert len(run_options["messages"]) == 1 # System message not in messages list
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async def test_create_run_options_with_tool_choice_auto(mock_anthropic_client: MagicMock) -> None:
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"""Test _create_run_options with auto tool choice."""
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chat_client = create_test_anthropic_client(mock_anthropic_client)
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messages = [ChatMessage(role=Role.USER, text="Hello")]
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chat_options = ChatOptions(tool_choice="auto")
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run_options = chat_client._create_run_options(messages, chat_options)
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assert run_options["tool_choice"]["type"] == "auto"
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async def test_create_run_options_with_tool_choice_required(mock_anthropic_client: MagicMock) -> None:
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"""Test _create_run_options with required tool choice."""
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chat_client = create_test_anthropic_client(mock_anthropic_client)
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messages = [ChatMessage(role=Role.USER, text="Hello")]
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# For required with specific function, need to pass as dict
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chat_options = ChatOptions(tool_choice={"mode": "required", "required_function_name": "get_weather"})
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run_options = chat_client._create_run_options(messages, chat_options)
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assert run_options["tool_choice"]["type"] == "tool"
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assert run_options["tool_choice"]["name"] == "get_weather"
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async def test_create_run_options_with_tool_choice_none(mock_anthropic_client: MagicMock) -> None:
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"""Test _create_run_options with none tool choice."""
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chat_client = create_test_anthropic_client(mock_anthropic_client)
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messages = [ChatMessage(role=Role.USER, text="Hello")]
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chat_options = ChatOptions(tool_choice="none")
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run_options = chat_client._create_run_options(messages, chat_options)
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assert run_options["tool_choice"]["type"] == "none"
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async def test_create_run_options_with_tools(mock_anthropic_client: MagicMock) -> None:
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"""Test _create_run_options with tools."""
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chat_client = create_test_anthropic_client(mock_anthropic_client)
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@ai_function
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def get_weather(location: str) -> str:
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"""Get weather for a location."""
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return f"Weather for {location}"
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messages = [ChatMessage(role=Role.USER, text="Hello")]
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chat_options = ChatOptions(tools=[get_weather])
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run_options = chat_client._create_run_options(messages, chat_options)
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assert "tools" in run_options
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assert len(run_options["tools"]) == 1
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async def test_create_run_options_with_stop_sequences(mock_anthropic_client: MagicMock) -> None:
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"""Test _create_run_options with stop sequences."""
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chat_client = create_test_anthropic_client(mock_anthropic_client)
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|
|
|
messages = [ChatMessage(role=Role.USER, text="Hello")]
|
|
chat_options = ChatOptions(stop=["STOP", "END"])
|
|
|
|
run_options = chat_client._create_run_options(messages, chat_options)
|
|
|
|
assert run_options["stop_sequences"] == ["STOP", "END"]
|
|
|
|
|
|
async def test_create_run_options_with_top_p(mock_anthropic_client: MagicMock) -> None:
|
|
"""Test _create_run_options with top_p."""
|
|
chat_client = create_test_anthropic_client(mock_anthropic_client)
|
|
|
|
messages = [ChatMessage(role=Role.USER, text="Hello")]
|
|
chat_options = ChatOptions(top_p=0.9)
|
|
|
|
run_options = chat_client._create_run_options(messages, chat_options)
|
|
|
|
assert run_options["top_p"] == 0.9
|
|
|
|
|
|
# Response Processing Tests
|
|
|
|
|
|
def test_process_message_basic(mock_anthropic_client: MagicMock) -> None:
|
|
"""Test _process_message with basic text response."""
|
|
chat_client = create_test_anthropic_client(mock_anthropic_client)
|
|
|
|
mock_message = MagicMock(spec=BetaMessage)
|
|
mock_message.id = "msg_123"
|
|
mock_message.model = "claude-3-5-sonnet-20241022"
|
|
mock_message.content = [BetaTextBlock(type="text", text="Hello there!")]
|
|
mock_message.usage = BetaUsage(input_tokens=10, output_tokens=5)
|
|
mock_message.stop_reason = "end_turn"
|
|
|
|
response = chat_client._process_message(mock_message)
|
|
|
|
assert response.response_id == "msg_123"
|
|
assert response.model_id == "claude-3-5-sonnet-20241022"
|
|
assert len(response.messages) == 1
|
|
assert response.messages[0].role == Role.ASSISTANT
|
|
assert len(response.messages[0].contents) == 1
|
|
assert isinstance(response.messages[0].contents[0], TextContent)
|
|
assert response.messages[0].contents[0].text == "Hello there!"
|
|
assert response.finish_reason == FinishReason.STOP
|
|
assert response.usage_details is not None
|
|
assert response.usage_details.input_token_count == 10
|
|
assert response.usage_details.output_token_count == 5
|
|
|
|
|
|
def test_process_message_with_tool_use(mock_anthropic_client: MagicMock) -> None:
|
|
"""Test _process_message with tool use."""
|
|
chat_client = create_test_anthropic_client(mock_anthropic_client)
|
|
|
|
mock_message = MagicMock(spec=BetaMessage)
|
|
mock_message.id = "msg_123"
|
|
mock_message.model = "claude-3-5-sonnet-20241022"
|
|
mock_message.content = [
|
|
BetaToolUseBlock(
|
|
type="tool_use",
|
|
id="call_123",
|
|
name="get_weather",
|
|
input={"location": "San Francisco"},
|
|
)
|
|
]
|
|
mock_message.usage = BetaUsage(input_tokens=10, output_tokens=5)
|
|
mock_message.stop_reason = "tool_use"
|
|
|
|
response = chat_client._process_message(mock_message)
|
|
|
|
assert len(response.messages[0].contents) == 1
|
|
assert isinstance(response.messages[0].contents[0], FunctionCallContent)
|
|
assert response.messages[0].contents[0].call_id == "call_123"
|
|
assert response.messages[0].contents[0].name == "get_weather"
|
|
assert response.finish_reason == FinishReason.TOOL_CALLS
|
|
|
|
|
|
def test_parse_message_usage_basic(mock_anthropic_client: MagicMock) -> None:
|
|
"""Test _parse_message_usage with basic usage."""
|
|
chat_client = create_test_anthropic_client(mock_anthropic_client)
|
|
|
|
usage = BetaUsage(input_tokens=10, output_tokens=5)
|
|
result = chat_client._parse_message_usage(usage)
|
|
|
|
assert result is not None
|
|
assert result.input_token_count == 10
|
|
assert result.output_token_count == 5
|
|
|
|
|
|
def test_parse_message_usage_none(mock_anthropic_client: MagicMock) -> None:
|
|
"""Test _parse_message_usage with None usage."""
|
|
chat_client = create_test_anthropic_client(mock_anthropic_client)
|
|
|
|
result = chat_client._parse_message_usage(None)
|
|
|
|
assert result is None
|
|
|
|
|
|
def test_parse_message_contents_text(mock_anthropic_client: MagicMock) -> None:
|
|
"""Test _parse_message_contents with text content."""
|
|
chat_client = create_test_anthropic_client(mock_anthropic_client)
|
|
|
|
content = [BetaTextBlock(type="text", text="Hello!")]
|
|
result = chat_client._parse_message_contents(content)
|
|
|
|
assert len(result) == 1
|
|
assert isinstance(result[0], TextContent)
|
|
assert result[0].text == "Hello!"
|
|
|
|
|
|
def test_parse_message_contents_tool_use(mock_anthropic_client: MagicMock) -> None:
|
|
"""Test _parse_message_contents with tool use."""
|
|
chat_client = create_test_anthropic_client(mock_anthropic_client)
|
|
|
|
content = [
|
|
BetaToolUseBlock(
|
|
type="tool_use",
|
|
id="call_123",
|
|
name="get_weather",
|
|
input={"location": "SF"},
|
|
)
|
|
]
|
|
result = chat_client._parse_message_contents(content)
|
|
|
|
assert len(result) == 1
|
|
assert isinstance(result[0], FunctionCallContent)
|
|
assert result[0].call_id == "call_123"
|
|
assert result[0].name == "get_weather"
|
|
|
|
|
|
# Stream Processing Tests
|
|
|
|
|
|
def test_process_stream_event_simple(mock_anthropic_client: MagicMock) -> None:
|
|
"""Test _process_stream_event with simple mock event."""
|
|
chat_client = create_test_anthropic_client(mock_anthropic_client)
|
|
|
|
# Test with a basic mock event - the actual implementation will handle real events
|
|
mock_event = MagicMock()
|
|
mock_event.type = "message_stop"
|
|
|
|
result = chat_client._process_stream_event(mock_event)
|
|
|
|
# message_stop events return None
|
|
assert result is None
|
|
|
|
|
|
async def test_inner_get_response(mock_anthropic_client: MagicMock) -> None:
|
|
"""Test _inner_get_response method."""
|
|
chat_client = create_test_anthropic_client(mock_anthropic_client)
|
|
|
|
# Create a mock message response
|
|
mock_message = MagicMock(spec=BetaMessage)
|
|
mock_message.id = "msg_test"
|
|
mock_message.model = "claude-3-5-sonnet-20241022"
|
|
mock_message.content = [BetaTextBlock(type="text", text="Hello!")]
|
|
mock_message.usage = BetaUsage(input_tokens=5, output_tokens=3)
|
|
mock_message.stop_reason = "end_turn"
|
|
|
|
mock_anthropic_client.beta.messages.create.return_value = mock_message
|
|
|
|
messages = [ChatMessage(role=Role.USER, text="Hi")]
|
|
chat_options = ChatOptions(max_tokens=10)
|
|
|
|
response = await chat_client._inner_get_response( # type: ignore[attr-defined]
|
|
messages=messages, chat_options=chat_options
|
|
)
|
|
|
|
assert response is not None
|
|
assert response.response_id == "msg_test"
|
|
assert len(response.messages) == 1
|
|
|
|
|
|
async def test_inner_get_streaming_response(mock_anthropic_client: MagicMock) -> None:
|
|
"""Test _inner_get_streaming_response method."""
|
|
chat_client = create_test_anthropic_client(mock_anthropic_client)
|
|
|
|
# Create mock streaming response
|
|
async def mock_stream():
|
|
mock_event = MagicMock()
|
|
mock_event.type = "message_stop"
|
|
yield mock_event
|
|
|
|
mock_anthropic_client.beta.messages.create.return_value = mock_stream()
|
|
|
|
messages = [ChatMessage(role=Role.USER, text="Hi")]
|
|
chat_options = ChatOptions(max_tokens=10)
|
|
|
|
chunks: list[ChatResponseUpdate] = []
|
|
async for chunk in chat_client._inner_get_streaming_response( # type: ignore[attr-defined]
|
|
messages=messages, chat_options=chat_options
|
|
):
|
|
if chunk:
|
|
chunks.append(chunk)
|
|
|
|
# We should get at least some response (even if empty due to message_stop)
|
|
assert isinstance(chunks, list)
|
|
|
|
|
|
# Integration Tests
|
|
|
|
|
|
@ai_function
|
|
def get_weather(
|
|
location: Annotated[str, Field(description="The location to get the weather for.")],
|
|
) -> str:
|
|
"""Get the weather for a location."""
|
|
return f"The weather in {location} is sunny and 72°F"
|
|
|
|
|
|
@pytest.mark.flaky
|
|
@skip_if_anthropic_integration_tests_disabled
|
|
async def test_anthropic_client_integration_basic_chat() -> None:
|
|
"""Integration test for basic chat completion."""
|
|
client = AnthropicClient()
|
|
|
|
messages = [ChatMessage(role=Role.USER, text="Say 'Hello, World!' and nothing else.")]
|
|
|
|
response = await client.get_response(messages=messages, chat_options=ChatOptions(max_tokens=50))
|
|
|
|
assert response is not None
|
|
assert len(response.messages) > 0
|
|
assert response.messages[0].role == Role.ASSISTANT
|
|
assert len(response.messages[0].text) > 0
|
|
assert response.usage_details is not None
|
|
|
|
|
|
@pytest.mark.flaky
|
|
@skip_if_anthropic_integration_tests_disabled
|
|
async def test_anthropic_client_integration_streaming_chat() -> None:
|
|
"""Integration test for streaming chat completion."""
|
|
client = AnthropicClient()
|
|
|
|
messages = [ChatMessage(role=Role.USER, text="Count from 1 to 5.")]
|
|
|
|
chunks = []
|
|
async for chunk in client.get_streaming_response(messages=messages, chat_options=ChatOptions(max_tokens=50)):
|
|
chunks.append(chunk)
|
|
|
|
assert len(chunks) > 0
|
|
assert any(chunk.contents for chunk in chunks)
|
|
|
|
|
|
@pytest.mark.flaky
|
|
@skip_if_anthropic_integration_tests_disabled
|
|
async def test_anthropic_client_integration_function_calling() -> None:
|
|
"""Integration test for function calling."""
|
|
client = AnthropicClient()
|
|
|
|
messages = [ChatMessage(role=Role.USER, text="What's the weather in San Francisco?")]
|
|
tools = [get_weather]
|
|
|
|
response = await client.get_response(
|
|
messages=messages,
|
|
chat_options=ChatOptions(tools=tools, max_tokens=100),
|
|
)
|
|
|
|
assert response is not None
|
|
# Should contain function call
|
|
has_function_call = any(
|
|
isinstance(content, FunctionCallContent) for msg in response.messages for content in msg.contents
|
|
)
|
|
assert has_function_call
|
|
|
|
|
|
@pytest.mark.flaky
|
|
@skip_if_anthropic_integration_tests_disabled
|
|
async def test_anthropic_client_integration_with_system_message() -> None:
|
|
"""Integration test with system message."""
|
|
client = AnthropicClient()
|
|
|
|
messages = [
|
|
ChatMessage(role=Role.SYSTEM, text="You are a pirate. Always respond like a pirate."),
|
|
ChatMessage(role=Role.USER, text="Hello!"),
|
|
]
|
|
|
|
response = await client.get_response(messages=messages, chat_options=ChatOptions(max_tokens=50))
|
|
|
|
assert response is not None
|
|
assert len(response.messages) > 0
|
|
|
|
|
|
@pytest.mark.flaky
|
|
@skip_if_anthropic_integration_tests_disabled
|
|
async def test_anthropic_client_integration_temperature_control() -> None:
|
|
"""Integration test with temperature control."""
|
|
client = AnthropicClient()
|
|
|
|
messages = [ChatMessage(role=Role.USER, text="Say hello.")]
|
|
|
|
response = await client.get_response(
|
|
messages=messages,
|
|
chat_options=ChatOptions(max_tokens=20, temperature=0.0),
|
|
)
|
|
|
|
assert response is not None
|
|
assert response.messages[0].text is not None
|
|
|
|
|
|
@pytest.mark.flaky
|
|
@skip_if_anthropic_integration_tests_disabled
|
|
async def test_anthropic_client_integration_ordering() -> None:
|
|
"""Integration test with ordering."""
|
|
client = AnthropicClient()
|
|
|
|
messages = [
|
|
ChatMessage(role=Role.USER, text="Say hello."),
|
|
ChatMessage(role=Role.USER, text="Then say goodbye."),
|
|
ChatMessage(role=Role.ASSISTANT, text="Thank you for chatting!"),
|
|
ChatMessage(role=Role.ASSISTANT, text="Let me know if I can help."),
|
|
ChatMessage(role=Role.USER, text="Just testing things."),
|
|
]
|
|
|
|
response = await client.get_response(messages=messages)
|
|
|
|
assert response is not None
|
|
assert response.messages[0].text is not None
|