mirror of
https://github.com/hwchase17/langchain
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3bfe7cf467
should be no functional changes also keep __init__ exposing a lot for backwards compat --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>
129 lines
4.8 KiB
Python
129 lines
4.8 KiB
Python
"""Test PromptLayerChatOpenAI wrapper."""
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import pytest
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from langchain.callbacks.manager import CallbackManager
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from langchain.chat_models.promptlayer_openai import PromptLayerChatOpenAI
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from langchain.schema import (
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ChatGeneration,
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ChatResult,
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LLMResult,
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)
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from langchain.schema.messages import BaseMessage, HumanMessage, SystemMessage
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from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
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def test_promptlayer_chat_openai() -> None:
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"""Test PromptLayerChatOpenAI wrapper."""
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chat = PromptLayerChatOpenAI(max_tokens=10)
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message = HumanMessage(content="Hello")
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response = chat([message])
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assert isinstance(response, BaseMessage)
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assert isinstance(response.content, str)
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def test_promptlayer_chat_openai_system_message() -> None:
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"""Test PromptLayerChatOpenAI wrapper with system message."""
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chat = PromptLayerChatOpenAI(max_tokens=10)
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system_message = SystemMessage(content="You are to chat with the user.")
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human_message = HumanMessage(content="Hello")
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response = chat([system_message, human_message])
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assert isinstance(response, BaseMessage)
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assert isinstance(response.content, str)
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def test_promptlayer_chat_openai_generate() -> None:
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"""Test PromptLayerChatOpenAI wrapper with generate."""
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chat = PromptLayerChatOpenAI(max_tokens=10, n=2)
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message = HumanMessage(content="Hello")
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response = chat.generate([[message], [message]])
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assert isinstance(response, LLMResult)
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assert len(response.generations) == 2
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for generations in response.generations:
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assert len(generations) == 2
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for generation in generations:
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assert isinstance(generation, ChatGeneration)
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assert isinstance(generation.text, str)
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assert generation.text == generation.message.content
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def test_promptlayer_chat_openai_multiple_completions() -> None:
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"""Test PromptLayerChatOpenAI wrapper with multiple completions."""
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chat = PromptLayerChatOpenAI(max_tokens=10, n=5)
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message = HumanMessage(content="Hello")
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response = chat._generate([message])
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assert isinstance(response, ChatResult)
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assert len(response.generations) == 5
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for generation in response.generations:
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assert isinstance(generation.message, BaseMessage)
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assert isinstance(generation.message.content, str)
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def test_promptlayer_chat_openai_streaming() -> None:
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"""Test that streaming correctly invokes on_llm_new_token callback."""
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callback_handler = FakeCallbackHandler()
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callback_manager = CallbackManager([callback_handler])
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chat = PromptLayerChatOpenAI(
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max_tokens=10,
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streaming=True,
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temperature=0,
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callback_manager=callback_manager,
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verbose=True,
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)
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message = HumanMessage(content="Hello")
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response = chat([message])
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assert callback_handler.llm_streams > 0
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assert isinstance(response, BaseMessage)
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def test_promptlayer_chat_openai_invalid_streaming_params() -> None:
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"""Test that streaming correctly invokes on_llm_new_token callback."""
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with pytest.raises(ValueError):
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PromptLayerChatOpenAI(
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max_tokens=10,
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streaming=True,
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temperature=0,
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n=5,
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)
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@pytest.mark.asyncio
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async def test_async_promptlayer_chat_openai() -> None:
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"""Test async generation."""
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chat = PromptLayerChatOpenAI(max_tokens=10, n=2)
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message = HumanMessage(content="Hello")
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response = await chat.agenerate([[message], [message]])
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assert isinstance(response, LLMResult)
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assert len(response.generations) == 2
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for generations in response.generations:
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assert len(generations) == 2
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for generation in generations:
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assert isinstance(generation, ChatGeneration)
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assert isinstance(generation.text, str)
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assert generation.text == generation.message.content
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@pytest.mark.asyncio
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async def test_async_promptlayer_chat_openai_streaming() -> None:
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"""Test that streaming correctly invokes on_llm_new_token callback."""
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callback_handler = FakeCallbackHandler()
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callback_manager = CallbackManager([callback_handler])
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chat = PromptLayerChatOpenAI(
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max_tokens=10,
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streaming=True,
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temperature=0,
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callback_manager=callback_manager,
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verbose=True,
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)
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message = HumanMessage(content="Hello")
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response = await chat.agenerate([[message], [message]])
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assert callback_handler.llm_streams > 0
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assert isinstance(response, LLMResult)
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assert len(response.generations) == 2
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for generations in response.generations:
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assert len(generations) == 1
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for generation in generations:
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assert isinstance(generation, ChatGeneration)
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assert isinstance(generation.text, str)
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assert generation.text == generation.message.content
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