mirror of
https://github.com/hwchase17/langchain.git
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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)`
44 lines
1.3 KiB
Python
44 lines
1.3 KiB
Python
"""Test Baidu Qianfan LLM Endpoint."""
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from typing import Generator
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from langchain_core.outputs import LLMResult
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from langchain_community.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint
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def test_call() -> None:
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"""Test valid call to qianfan."""
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llm = QianfanLLMEndpoint()
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output = llm.invoke("write a joke")
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assert isinstance(output, str)
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def test_generate() -> None:
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"""Test valid call to qianfan."""
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llm = QianfanLLMEndpoint()
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output = llm.generate(["write a joke"])
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assert isinstance(output, LLMResult)
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assert isinstance(output.generations, list)
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def test_generate_stream() -> None:
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"""Test valid call to qianfan."""
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llm = QianfanLLMEndpoint()
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output = llm.stream("write a joke")
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assert isinstance(output, Generator)
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async def test_qianfan_aio() -> None:
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llm = QianfanLLMEndpoint(streaming=True)
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async for token in llm.astream("hi qianfan."):
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assert isinstance(token, str)
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def test_rate_limit() -> None:
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llm = QianfanLLMEndpoint(model="ERNIE-Bot", init_kwargs={"query_per_second": 2})
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assert llm.client._client._rate_limiter._sync_limiter._query_per_second == 2
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output = llm.generate(["write a joke"])
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assert isinstance(output, LLMResult)
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assert isinstance(output.generations, list)
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