mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
ed58eeb9c5
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
44 lines
1.3 KiB
Python
44 lines
1.3 KiB
Python
"""Test Google PaLM Text API wrapper.
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Note: This test must be run with the GOOGLE_API_KEY environment variable set to a
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valid API key.
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"""
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from pathlib import Path
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from langchain_core.outputs import LLMResult
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from langchain_community.llms.google_palm import GooglePalm
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from langchain_community.llms.loading import load_llm
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def test_google_palm_call() -> None:
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"""Test valid call to Google PaLM text API."""
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llm = GooglePalm(max_output_tokens=10)
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output = llm("Say foo:")
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assert isinstance(output, str)
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assert llm._llm_type == "google_palm"
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assert llm.model_name == "models/text-bison-001"
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def test_google_palm_generate() -> None:
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llm = GooglePalm(temperature=0.3, n=2)
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output = llm.generate(["Say foo:"])
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assert isinstance(output, LLMResult)
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assert len(output.generations) == 1
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assert len(output.generations[0]) == 2
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def test_google_palm_get_num_tokens() -> None:
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llm = GooglePalm()
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output = llm.get_num_tokens("How are you?")
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assert output == 4
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def test_saving_loading_llm(tmp_path: Path) -> None:
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"""Test saving/loading a Google PaLM LLM."""
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llm = GooglePalm(max_output_tokens=10)
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llm.save(file_path=tmp_path / "google_palm.yaml")
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loaded_llm = load_llm(tmp_path / "google_palm.yaml")
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assert loaded_llm == llm
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