mirror of
https://github.com/hwchase17/langchain
synced 2024-11-16 06:13:16 +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
2.2 KiB
Python
74 lines
2.2 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_core.callbacks import CallbackManager
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from langchain_core.outputs import LLMResult
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from langchain_community.llms.anthropic import Anthropic
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from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
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@pytest.mark.requires("anthropic")
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def test_anthropic_model_name_param() -> None:
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llm = Anthropic(model_name="foo")
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assert llm.model == "foo"
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@pytest.mark.requires("anthropic")
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def test_anthropic_model_param() -> None:
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llm = Anthropic(model="foo")
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assert llm.model == "foo"
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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="claude-instant-1")
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output = llm.invoke("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="claude-instant-1")
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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, 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.invoke("Write me a sentence with 100 words.")
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assert callback_handler.llm_streams > 1
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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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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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