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)`
47 lines
1.5 KiB
Python
47 lines
1.5 KiB
Python
"""Test EdenAi API wrapper.
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In order to run this test, you need to have an EdenAI api key.
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You can get it by registering for free at https://app.edenai.run/user/register.
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A test key can be found at https://app.edenai.run/admin/account/settings by
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clicking on the 'sandbox' toggle.
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(calls will be free, and will return dummy results)
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You'll then need to set EDENAI_API_KEY environment variable to your api key.
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"""
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from langchain_community.llms import EdenAI
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def test_edenai_call() -> None:
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"""Test simple call to edenai."""
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llm = EdenAI(provider="openai", temperature=0.2, max_tokens=250)
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output = llm.invoke("Say foo:")
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assert llm._llm_type == "edenai"
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assert llm.feature == "text"
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assert llm.subfeature == "generation"
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assert isinstance(output, str)
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async def test_edenai_acall() -> None:
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"""Test simple call to edenai."""
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llm = EdenAI(provider="openai", temperature=0.2, max_tokens=250)
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output = await llm.agenerate(["Say foo:"])
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assert llm._llm_type == "edenai"
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assert llm.feature == "text"
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assert llm.subfeature == "generation"
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assert isinstance(output, str)
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def test_edenai_call_with_old_params() -> None:
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"""
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Test simple call to edenai with using `params`
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to pass optional parameters to api
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"""
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llm = EdenAI(provider="openai", params={"temperature": 0.2, "max_tokens": 250})
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output = llm.invoke("Say foo:")
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assert llm._llm_type == "edenai"
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assert llm.feature == "text"
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assert llm.subfeature == "generation"
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assert isinstance(output, str)
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