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)`
30 lines
1.0 KiB
Python
30 lines
1.0 KiB
Python
"""Test Clarifai API wrapper.
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In order to run this test, you need to have an account on Clarifai.
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You can sign up for free at https://clarifai.com/signup.
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pip install clarifai
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You'll need to set env variable CLARIFAI_PAT_KEY to your personal access token key.
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"""
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from langchain_community.llms.clarifai import Clarifai
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def test_clarifai_call() -> None:
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"""Test valid call to clarifai."""
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llm = Clarifai(
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user_id="google-research",
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app_id="summarization",
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model_id="text-summarization-english-pegasus",
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)
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output = llm.invoke(
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"A chain is a serial assembly of connected pieces, called links, \
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typically made of metal, with an overall character similar to that\
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of a rope in that it is flexible and curved in compression but \
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linear, rigid, and load-bearing in tension. A chain may consist\
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of two or more links."
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)
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assert isinstance(output, str)
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assert llm._llm_type == "clarifai"
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assert llm.model_id == "text-summarization-english-pegasus"
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