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https://github.com/hwchase17/langchain.git
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0ba125c3cd
- **Description:** Standardize QianfanLLMEndpoint LLM，include: - docs, the issue #24803 - model init arg names, the issue #20085
58 lines
2.0 KiB
Python
58 lines
2.0 KiB
Python
"""Test Baidu Qianfan LLM Endpoint."""
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from typing import Generator, cast
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from langchain_core.outputs import LLMResult
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from langchain_core.pydantic_v1 import SecretStr
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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() # type: ignore[call-arg]
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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() # type: ignore[call-arg]
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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() # type: ignore[call-arg]
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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) # type: ignore[call-arg]
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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}) # type: ignore[call-arg]
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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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def test_qianfan_with_param_alias() -> None:
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"""Test with qianfan llm parameter alias."""
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llm = QianfanLLMEndpoint( # type: ignore[call-arg]
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api_key="your-api-key", # type: ignore[arg-type]
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secret_key="your-secret-key", # type: ignore[arg-type]
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timeout=50,
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) # type: ignore[call-arg]
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assert cast(SecretStr, llm.qianfan_ak).get_secret_value() == "your-api-key"
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assert cast(SecretStr, llm.qianfan_sk).get_secret_value() == "your-secret-key"
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assert llm.request_timeout == 50
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