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234 lines
7.2 KiB
Python
234 lines
7.2 KiB
Python
7 months ago
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"""Test ChatGroq chat model."""
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from typing import Any
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import pytest
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from langchain_core.messages import (
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BaseMessage,
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BaseMessageChunk,
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HumanMessage,
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SystemMessage,
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)
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from langchain_core.outputs import ChatGeneration, LLMResult
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from langchain_groq import ChatGroq
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from tests.unit_tests.fake.callbacks import (
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FakeCallbackHandler,
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FakeCallbackHandlerWithChatStart,
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)
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#
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# Smoke test Runnable interface
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#
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@pytest.mark.scheduled
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def test_invoke() -> None:
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"""Test Chat wrapper."""
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chat = ChatGroq(
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temperature=0.7,
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base_url=None,
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groq_proxy=None,
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timeout=10.0,
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max_retries=3,
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http_client=None,
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n=1,
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max_tokens=10,
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default_headers=None,
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default_query=None,
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)
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message = HumanMessage(content="Welcome to the Groqetship")
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response = chat.invoke([message])
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assert isinstance(response, BaseMessage)
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assert isinstance(response.content, str)
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@pytest.mark.scheduled
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async def test_ainvoke() -> None:
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"""Test ainvoke tokens from ChatGroq."""
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llm = ChatGroq(max_tokens=10)
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result = await llm.ainvoke("Welcome to the Groqetship!", config={"tags": ["foo"]})
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assert isinstance(result, BaseMessage)
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assert isinstance(result.content, str)
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@pytest.mark.scheduled
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def test_batch() -> None:
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"""Test batch tokens from ChatGroq."""
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llm = ChatGroq(max_tokens=10)
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result = llm.batch(["Hello!", "Welcome to the Groqetship!"])
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for token in result:
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assert isinstance(token, BaseMessage)
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assert isinstance(token.content, str)
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@pytest.mark.scheduled
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async def test_abatch() -> None:
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"""Test abatch tokens from ChatGroq."""
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llm = ChatGroq(max_tokens=10)
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result = await llm.abatch(["Hello!", "Welcome to the Groqetship!"])
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for token in result:
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assert isinstance(token, BaseMessage)
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assert isinstance(token.content, str)
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@pytest.mark.scheduled
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async def test_stream() -> None:
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"""Test streaming tokens from Groq."""
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llm = ChatGroq(max_tokens=10)
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for token in llm.stream("Welcome to the Groqetship!"):
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assert isinstance(token, BaseMessageChunk)
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assert isinstance(token.content, str)
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@pytest.mark.scheduled
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async def test_astream() -> None:
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"""Test streaming tokens from Groq."""
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llm = ChatGroq(max_tokens=10)
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async for token in llm.astream("Welcome to the Groqetship!"):
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assert isinstance(token, BaseMessageChunk)
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assert isinstance(token.content, str)
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#
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# Test Legacy generate methods
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#
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@pytest.mark.scheduled
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def test_generate() -> None:
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"""Test sync generate."""
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n = 1
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chat = ChatGroq(max_tokens=10)
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message = HumanMessage(content="Hello", n=1)
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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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assert response.llm_output
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assert response.llm_output["model_name"] == chat.model_name
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for generations in response.generations:
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assert len(generations) == n
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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.scheduled
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async def test_agenerate() -> None:
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"""Test async generation."""
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n = 1
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chat = ChatGroq(max_tokens=10, n=1)
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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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assert response.llm_output
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assert response.llm_output["model_name"] == chat.model_name
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for generations in response.generations:
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assert len(generations) == n
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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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#
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# Test streaming flags in invoke and generate
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#
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@pytest.mark.scheduled
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def test_invoke_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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chat = ChatGroq(
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max_tokens=2,
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streaming=True,
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temperature=0,
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callbacks=[callback_handler],
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)
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message = HumanMessage(content="Welcome to the Groqetship")
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response = chat.invoke([message])
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assert callback_handler.llm_streams > 0
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assert isinstance(response, BaseMessage)
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@pytest.mark.scheduled
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async def test_agenerate_streaming() -> None:
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"""Test that streaming correctly invokes on_llm_new_token callback."""
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callback_handler = FakeCallbackHandlerWithChatStart()
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chat = ChatGroq(
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max_tokens=10,
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streaming=True,
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temperature=0,
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callbacks=[callback_handler],
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)
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message = HumanMessage(content="Welcome to the Groqetship")
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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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assert response.llm_output is not None
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assert response.llm_output["model_name"] == chat.model_name
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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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#
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# Misc tests
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#
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def test_streaming_generation_info() -> None:
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"""Test that generation info is preserved when streaming."""
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class _FakeCallback(FakeCallbackHandler):
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saved_things: dict = {}
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def on_llm_end(
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self,
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*args: Any,
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**kwargs: Any,
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) -> Any:
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# Save the generation
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self.saved_things["generation"] = args[0]
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callback = _FakeCallback()
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chat = ChatGroq(
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max_tokens=2,
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temperature=0,
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callbacks=[callback],
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)
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list(chat.stream("Respond with the single word Hello"))
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generation = callback.saved_things["generation"]
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# `Hello!` is two tokens, assert that that is what is returned
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assert isinstance(generation, LLMResult)
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assert generation.generations[0][0].text == "Hello"
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def test_system_message() -> None:
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"""Test ChatGroq wrapper with system message."""
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chat = ChatGroq(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.invoke([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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# Groq does not currently support N > 1
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# @pytest.mark.scheduled
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# def test_chat_multiple_completions() -> None:
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# """Test ChatGroq wrapper with multiple completions."""
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# chat = ChatGroq(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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