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

61 lines
2.0 KiB
Python

"""Test HuggingFace API wrapper."""
import unittest
from pathlib import Path
import pytest
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.huggingface_endpoint import HuggingFaceEndpoint
from langchain_community.llms.loading import load_llm
from tests.integration_tests.llms.utils import assert_llm_equality
@unittest.skip(
"This test requires an inference endpoint. Tested with Hugging Face endpoints"
)
def test_huggingface_endpoint_text_generation() -> None:
"""Test valid call to HuggingFace text generation model."""
llm = HuggingFaceEndpoint(
endpoint_url="", task="text-generation", model_kwargs={"max_new_tokens": 10}
)
output = llm("Say foo:")
print(output)
assert isinstance(output, str)
@unittest.skip(
"This test requires an inference endpoint. Tested with Hugging Face endpoints"
)
def test_huggingface_endpoint_text2text_generation() -> None:
"""Test valid call to HuggingFace text2text model."""
llm = HuggingFaceEndpoint(endpoint_url="", task="text2text-generation")
output = llm("The capital of New York is")
assert output == "Albany"
@unittest.skip(
"This test requires an inference endpoint. Tested with Hugging Face endpoints"
)
def test_huggingface_endpoint_summarization() -> None:
"""Test valid call to HuggingFace summarization model."""
llm = HuggingFaceEndpoint(endpoint_url="", task="summarization")
output = llm("Say foo:")
assert isinstance(output, str)
def test_huggingface_endpoint_call_error() -> None:
"""Test valid call to HuggingFace that errors."""
llm = HuggingFaceEndpoint(model_kwargs={"max_new_tokens": -1})
with pytest.raises(ValueError):
llm("Say foo:")
def test_saving_loading_endpoint_llm(tmp_path: Path) -> None:
"""Test saving/loading an HuggingFaceHub LLM."""
llm = HuggingFaceEndpoint(
endpoint_url="", task="text-generation", model_kwargs={"max_new_tokens": 10}
)
llm.save(file_path=tmp_path / "hf.yaml")
loaded_llm = load_llm(tmp_path / "hf.yaml")
assert_llm_equality(llm, loaded_llm)