langchain/tests/integration_tests/chat_models/test_openai.py
Ankush Gola d3ec00b566
Callbacks Refactor [base] (#3256)
Co-authored-by: Nuno Campos <nuno@boringbits.io>
Co-authored-by: Davis Chase <130488702+dev2049@users.noreply.github.com>
Co-authored-by: Zander Chase <130414180+vowelparrot@users.noreply.github.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-04-30 11:14:09 -07:00

150 lines
5.2 KiB
Python

"""Test ChatOpenAI wrapper."""
import pytest
from langchain.callbacks.manager import CallbackManager
from langchain.chat_models.openai import ChatOpenAI
from langchain.schema import (
BaseMessage,
ChatGeneration,
ChatResult,
HumanMessage,
LLMResult,
SystemMessage,
)
from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
def test_chat_openai() -> None:
"""Test ChatOpenAI wrapper."""
chat = ChatOpenAI(max_tokens=10)
message = HumanMessage(content="Hello")
response = chat([message])
assert isinstance(response, BaseMessage)
assert isinstance(response.content, str)
def test_chat_openai_system_message() -> None:
"""Test ChatOpenAI wrapper with system message."""
chat = ChatOpenAI(max_tokens=10)
system_message = SystemMessage(content="You are to chat with the user.")
human_message = HumanMessage(content="Hello")
response = chat([system_message, human_message])
assert isinstance(response, BaseMessage)
assert isinstance(response.content, str)
def test_chat_openai_generate() -> None:
"""Test ChatOpenAI wrapper with generate."""
chat = ChatOpenAI(max_tokens=10, n=2)
message = HumanMessage(content="Hello")
response = chat.generate([[message], [message]])
assert isinstance(response, LLMResult)
assert len(response.generations) == 2
for generations in response.generations:
assert len(generations) == 2
for generation in generations:
assert isinstance(generation, ChatGeneration)
assert isinstance(generation.text, str)
assert generation.text == generation.message.content
def test_chat_openai_multiple_completions() -> None:
"""Test ChatOpenAI wrapper with multiple completions."""
chat = ChatOpenAI(max_tokens=10, n=5)
message = HumanMessage(content="Hello")
response = chat._generate([message])
assert isinstance(response, ChatResult)
assert len(response.generations) == 5
for generation in response.generations:
assert isinstance(generation.message, BaseMessage)
assert isinstance(generation.message.content, str)
def test_chat_openai_streaming() -> None:
"""Test that streaming correctly invokes on_llm_new_token callback."""
callback_handler = FakeCallbackHandler()
callback_manager = CallbackManager([callback_handler])
chat = ChatOpenAI(
max_tokens=10,
streaming=True,
temperature=0,
callback_manager=callback_manager,
verbose=True,
)
message = HumanMessage(content="Hello")
response = chat([message])
assert callback_handler.llm_streams > 0
assert isinstance(response, BaseMessage)
def test_chat_openai_llm_output_contains_model_name() -> None:
"""Test llm_output contains model_name."""
chat = ChatOpenAI(max_tokens=10)
message = HumanMessage(content="Hello")
llm_result = chat.generate([[message]])
assert llm_result.llm_output is not None
assert llm_result.llm_output["model_name"] == chat.model_name
def test_chat_openai_streaming_llm_output_contains_model_name() -> None:
"""Test llm_output contains model_name."""
chat = ChatOpenAI(max_tokens=10, streaming=True)
message = HumanMessage(content="Hello")
llm_result = chat.generate([[message]])
assert llm_result.llm_output is not None
assert llm_result.llm_output["model_name"] == chat.model_name
def test_chat_openai_invalid_streaming_params() -> None:
"""Test that streaming correctly invokes on_llm_new_token callback."""
with pytest.raises(ValueError):
ChatOpenAI(
max_tokens=10,
streaming=True,
temperature=0,
n=5,
)
@pytest.mark.asyncio
async def test_async_chat_openai() -> None:
"""Test async generation."""
chat = ChatOpenAI(max_tokens=10, n=2)
message = HumanMessage(content="Hello")
response = await chat.agenerate([[message], [message]])
assert isinstance(response, LLMResult)
assert len(response.generations) == 2
for generations in response.generations:
assert len(generations) == 2
for generation in generations:
assert isinstance(generation, ChatGeneration)
assert isinstance(generation.text, str)
assert generation.text == generation.message.content
@pytest.mark.asyncio
async def test_async_chat_openai_streaming() -> None:
"""Test that streaming correctly invokes on_llm_new_token callback."""
callback_handler = FakeCallbackHandler()
callback_manager = CallbackManager([callback_handler])
chat = ChatOpenAI(
max_tokens=10,
streaming=True,
temperature=0,
callback_manager=callback_manager,
verbose=True,
)
message = HumanMessage(content="Hello")
response = await chat.agenerate([[message], [message]])
assert callback_handler.llm_streams > 0
assert isinstance(response, LLMResult)
assert len(response.generations) == 2
for generations in response.generations:
assert len(generations) == 1
for generation in generations:
assert isinstance(generation, ChatGeneration)
assert isinstance(generation.text, str)
assert generation.text == generation.message.content