mirror of
https://github.com/hwchase17/langchain
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921894960b
- Add langchain.llms.GooglePalm for text completion, - Add langchain.chat_models.ChatGooglePalm for chat completion, - Add langchain.embeddings.GooglePalmEmbeddings for sentence embeddings, - Add example field to HumanMessage and AIMessage so that users can feed in examples into the PaLM Chat API, - Add system and unit tests. Note async completion for the Text API is not yet supported and will be included in a future PR. Happy for feedback on any aspect of this PR, especially our choice of adding an example field to Human and AI Message objects to enable passing example messages to the API.
82 lines
2.9 KiB
Python
82 lines
2.9 KiB
Python
"""Test Google PaLM Chat API wrapper.
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Note: This test must be run with the GOOGLE_API_KEY environment variable set to a
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valid API key.
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"""
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import pytest
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from langchain.chat_models import ChatGooglePalm
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from langchain.schema import (
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BaseMessage,
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ChatGeneration,
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ChatResult,
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HumanMessage,
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LLMResult,
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SystemMessage,
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)
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def test_chat_google_palm() -> None:
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"""Test Google PaLM Chat API wrapper."""
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chat = ChatGooglePalm()
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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_chat_google_palm_system_message() -> None:
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"""Test Google PaLM Chat API wrapper with system message."""
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chat = ChatGooglePalm()
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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_chat_google_palm_generate() -> None:
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"""Test Google PaLM Chat API wrapper with generate."""
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chat = ChatGooglePalm(n=2, temperature=1.0)
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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_chat_google_palm_multiple_completions() -> None:
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"""Test Google PaLM Chat API wrapper with multiple completions."""
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# The API de-dupes duplicate responses, so set temperature higher. This
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# could be a flakey test though...
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chat = ChatGooglePalm(n=5, temperature=1.0)
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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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@pytest.mark.asyncio
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async def test_async_chat_google_palm() -> None:
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"""Test async generation."""
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chat = ChatGooglePalm(n=2, temperature=1.0)
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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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