langchain/libs/community/tests/integration_tests/llms/test_edenai.py
Bagatur ed58eeb9c5
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
2023-12-11 13:53:30 -08:00

47 lines
1.5 KiB
Python

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