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langchain/libs/community/tests/integration_tests/llms/test_qianfan_endpoint.py

44 lines
1.3 KiB
Python

"""Test Baidu Qianfan LLM Endpoint."""
from typing import Generator
from langchain_core.outputs import LLMResult
community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463) Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes
10 months ago
from langchain_community.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint
def test_call() -> None:
"""Test valid call to qianfan."""
llm = QianfanLLMEndpoint()
output = llm("write a joke")
assert isinstance(output, str)
def test_generate() -> None:
"""Test valid call to qianfan."""
llm = QianfanLLMEndpoint()
output = llm.generate(["write a joke"])
assert isinstance(output, LLMResult)
assert isinstance(output.generations, list)
def test_generate_stream() -> None:
"""Test valid call to qianfan."""
llm = QianfanLLMEndpoint()
output = llm.stream("write a joke")
assert isinstance(output, Generator)
async def test_qianfan_aio() -> None:
llm = QianfanLLMEndpoint(streaming=True)
async for token in llm.astream("hi qianfan."):
assert isinstance(token, str)
def test_rate_limit() -> None:
llm = QianfanLLMEndpoint(model="ERNIE-Bot", init_kwargs={"query_per_second": 2})
assert llm.client._client._rate_limiter._sync_limiter._query_per_second == 2
output = llm.generate(["write a joke"])
assert isinstance(output, LLMResult)
assert isinstance(output.generations, list)