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
47 lines
1.5 KiB
Python
47 lines
1.5 KiB
Python
"""Test EdenAi API wrapper.
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In order to run this test, you need to have an EdenAI api key.
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You can get it by registering for free at https://app.edenai.run/user/register.
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A test key can be found at https://app.edenai.run/admin/account/settings by
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clicking on the 'sandbox' toggle.
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(calls will be free, and will return dummy results)
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You'll then need to set EDENAI_API_KEY environment variable to your api key.
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"""
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from langchain_community.llms import EdenAI
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def test_edenai_call() -> None:
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"""Test simple call to edenai."""
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llm = EdenAI(provider="openai", temperature=0.2, max_tokens=250)
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output = llm("Say foo:")
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assert llm._llm_type == "edenai"
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assert llm.feature == "text"
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assert llm.subfeature == "generation"
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assert isinstance(output, str)
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async def test_edenai_acall() -> None:
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"""Test simple call to edenai."""
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llm = EdenAI(provider="openai", temperature=0.2, max_tokens=250)
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output = await llm.agenerate(["Say foo:"])
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assert llm._llm_type == "edenai"
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assert llm.feature == "text"
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assert llm.subfeature == "generation"
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assert isinstance(output, str)
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def test_edenai_call_with_old_params() -> None:
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"""
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Test simple call to edenai with using `params`
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to pass optional parameters to api
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"""
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llm = EdenAI(provider="openai", params={"temperature": 0.2, "max_tokens": 250})
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output = llm("Say foo:")
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assert llm._llm_type == "edenai"
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assert llm.feature == "text"
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assert llm.subfeature == "generation"
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assert isinstance(output, str)
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