mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
481d3855dc
- `llm(prompt)` -> `llm.invoke(prompt)`
- `llm(prompt=prompt` -> `llm.invoke(prompt)` (same with `messages=`)
- `llm(prompt, callbacks=callbacks)` -> `llm.invoke(prompt,
config={"callbacks": callbacks})`
- `llm(prompt, **kwargs)` -> `llm.invoke(prompt, **kwargs)`
74 lines
2.4 KiB
Python
74 lines
2.4 KiB
Python
"""Test Alibaba Tongyi Chat Model."""
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from langchain_core.callbacks import CallbackManager
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from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
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from langchain_core.outputs import ChatGeneration, LLMResult
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from langchain_community.chat_models.zhipuai import ChatZhipuAI
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from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
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def test_default_call() -> None:
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"""Test default model call."""
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chat = ChatZhipuAI()
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response = chat.invoke([HumanMessage(content="Hello")])
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assert isinstance(response, BaseMessage)
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assert isinstance(response.content, str)
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def test_model() -> None:
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"""Test model kwarg works."""
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chat = ChatZhipuAI(model="glm-4")
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response = chat.invoke([HumanMessage(content="Hello")])
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assert isinstance(response, BaseMessage)
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assert isinstance(response.content, str)
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def test_multiple_history() -> None:
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"""Tests multiple history works."""
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chat = ChatZhipuAI()
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response = chat.invoke(
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[
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HumanMessage(content="Hello."),
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AIMessage(content="Hello!"),
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HumanMessage(content="How are you doing?"),
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]
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)
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assert isinstance(response, BaseMessage)
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assert isinstance(response.content, str)
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def test_stream() -> None:
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"""Test that stream works."""
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chat = ChatZhipuAI(streaming=True)
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callback_handler = FakeCallbackHandler()
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callback_manager = CallbackManager([callback_handler])
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response = chat.invoke(
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[
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HumanMessage(content="Hello."),
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AIMessage(content="Hello!"),
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HumanMessage(content="Who are you?"),
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],
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stream=True,
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config={"callbacks": callback_manager},
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)
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assert callback_handler.llm_streams > 0
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assert isinstance(response.content, str)
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def test_multiple_messages() -> None:
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"""Tests multiple messages works."""
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chat = ChatZhipuAI()
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message = HumanMessage(content="Hi, how are you.")
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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) == 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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