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https://github.com/hwchase17/langchain
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d18b0caf0e
thanks @hitflame! --------- Co-authored-by: Wenqiang Zhao <hitzhaowenqiang@sina.com> Co-authored-by: delta@com <delta@com>
64 lines
1.9 KiB
Python
64 lines
1.9 KiB
Python
"""Test Anthropic API wrapper."""
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from typing import Generator
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import pytest
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from langchain.callbacks.base import CallbackManager
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from langchain.llms.anthropic import Anthropic
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from langchain.schema import LLMResult
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from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
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def test_anthropic_call() -> None:
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"""Test valid call to anthropic."""
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llm = Anthropic(model="test")
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output = llm("Say foo:")
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assert isinstance(output, str)
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def test_anthropic_streaming() -> None:
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"""Test streaming tokens from anthropic."""
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llm = Anthropic(model="test")
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generator = llm.stream("I'm Pickle Rick")
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assert isinstance(generator, Generator)
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for token in generator:
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assert isinstance(token["completion"], str)
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def test_anthropic_streaming_callback() -> 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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llm = Anthropic(
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streaming=True,
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callback_manager=callback_manager,
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verbose=True,
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)
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llm("Write me a sentence with 100 words.")
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assert callback_handler.llm_streams > 1
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@pytest.mark.asyncio
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async def test_anthropic_async_generate() -> None:
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"""Test async generate."""
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llm = Anthropic()
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output = await llm.agenerate(["How many toes do dogs have?"])
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assert isinstance(output, LLMResult)
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@pytest.mark.asyncio
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async def test_anthropic_async_streaming_callback() -> 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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llm = Anthropic(
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streaming=True,
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callback_manager=callback_manager,
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verbose=True,
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)
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result = await llm.agenerate(["How many toes do dogs have?"])
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assert callback_handler.llm_streams > 1
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assert isinstance(result, LLMResult)
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