langchain/tests/integration_tests/chat_models/test_anthropic.py

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"""Test Anthropic API wrapper."""
from typing import List
import pytest
from langchain.callbacks.manager import CallbackManager
from langchain.chat_models.anthropic import ChatAnthropic
from langchain.schema import (
ChatGeneration,
LLMResult,
)
from langchain.schema.messages import AIMessage, BaseMessage, HumanMessage
from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
def test_anthropic_call() -> None:
"""Test valid call to anthropic."""
chat = ChatAnthropic(model="test")
message = HumanMessage(content="Hello")
response = chat([message])
assert isinstance(response, AIMessage)
assert isinstance(response.content, str)
def test_anthropic_generate() -> None:
"""Test generate method of anthropic."""
chat = ChatAnthropic(model="test")
chat_messages: List[List[BaseMessage]] = [
[HumanMessage(content="How many toes do dogs have?")]
]
messages_copy = [messages.copy() for messages in chat_messages]
result: LLMResult = chat.generate(chat_messages)
assert isinstance(result, LLMResult)
for response in result.generations[0]:
assert isinstance(response, ChatGeneration)
assert isinstance(response.text, str)
assert response.text == response.message.content
assert chat_messages == messages_copy
def test_anthropic_streaming() -> None:
"""Test streaming tokens from anthropic."""
chat = ChatAnthropic(model="test", streaming=True)
message = HumanMessage(content="Hello")
response = chat([message])
assert isinstance(response, AIMessage)
assert isinstance(response.content, str)
def test_anthropic_streaming_callback() -> None:
"""Test that streaming correctly invokes on_llm_new_token callback."""
callback_handler = FakeCallbackHandler()
callback_manager = CallbackManager([callback_handler])
chat = ChatAnthropic(
model="test",
streaming=True,
callback_manager=callback_manager,
verbose=True,
)
message = HumanMessage(content="Write me a sentence with 10 words.")
chat([message])
assert callback_handler.llm_streams > 1
@pytest.mark.asyncio
async def test_anthropic_async_streaming_callback() -> None:
"""Test that streaming correctly invokes on_llm_new_token callback."""
callback_handler = FakeCallbackHandler()
callback_manager = CallbackManager([callback_handler])
chat = ChatAnthropic(
model="test",
streaming=True,
callback_manager=callback_manager,
verbose=True,
)
chat_messages: List[BaseMessage] = [
HumanMessage(content="How many toes do dogs have?")
]
result: LLMResult = await chat.agenerate([chat_messages])
assert callback_handler.llm_streams > 1
assert isinstance(result, LLMResult)
for response in result.generations[0]:
assert isinstance(response, ChatGeneration)
assert isinstance(response.text, str)
assert response.text == response.message.content
def test_formatting() -> None:
chat = ChatAnthropic()
chat_messages: List[BaseMessage] = [HumanMessage(content="Hello")]
result = chat._convert_messages_to_prompt(chat_messages)
assert result == "\n\nHuman: Hello\n\nAssistant:"
chat_messages = [HumanMessage(content="Hello"), AIMessage(content="Answer:")]
result = chat._convert_messages_to_prompt(chat_messages)
assert result == "\n\nHuman: Hello\n\nAssistant: Answer:"