mirror of
https://github.com/hwchase17/langchain
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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)`
52 lines
1.7 KiB
Python
52 lines
1.7 KiB
Python
"""Test LLM callbacks."""
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from langchain_core.messages import HumanMessage
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from langchain_community.chat_models.fake import FakeListChatModel
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from langchain_community.llms.fake import FakeListLLM
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from tests.unit_tests.callbacks.fake_callback_handler import (
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FakeCallbackHandler,
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FakeCallbackHandlerWithChatStart,
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)
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def test_llm_with_callbacks() -> None:
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"""Test LLM callbacks."""
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handler = FakeCallbackHandler()
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llm = FakeListLLM(callbacks=[handler], verbose=True, responses=["foo"])
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output = llm.invoke("foo")
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assert output == "foo"
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assert handler.starts == 1
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assert handler.ends == 1
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assert handler.errors == 0
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def test_chat_model_with_v1_callbacks() -> None:
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"""Test chat model callbacks fall back to on_llm_start."""
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handler = FakeCallbackHandler()
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llm = FakeListChatModel(
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callbacks=[handler], verbose=True, responses=["fake response"]
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)
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output = llm.invoke([HumanMessage(content="foo")])
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assert output.content == "fake response"
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assert handler.starts == 1
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assert handler.ends == 1
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assert handler.errors == 0
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assert handler.llm_starts == 1
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assert handler.llm_ends == 1
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def test_chat_model_with_v2_callbacks() -> None:
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"""Test chat model callbacks fall back to on_llm_start."""
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handler = FakeCallbackHandlerWithChatStart()
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llm = FakeListChatModel(
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callbacks=[handler], verbose=True, responses=["fake response"]
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)
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output = llm.invoke([HumanMessage(content="foo")])
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assert output.content == "fake response"
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assert handler.starts == 1
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assert handler.ends == 1
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assert handler.errors == 0
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assert handler.llm_starts == 0
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assert handler.llm_ends == 1
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assert handler.chat_model_starts == 1
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