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- **Description:** This PR adds [EdenAI](https://edenai.co/) for the chat model (already available in LLM & Embeddings). It supports all [ChatModel] functionality: generate, async generate, stream, astream and batch. A detailed notebook was added. - **Dependencies**: No dependencies are added as we call a rest API. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
71 lines
2.3 KiB
Python
71 lines
2.3 KiB
Python
"""Test EdenAI API wrapper."""
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from typing import List
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import pytest
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from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
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from langchain_core.outputs import ChatGeneration, LLMResult
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from langchain_community.chat_models.edenai import (
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ChatEdenAI,
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)
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@pytest.mark.scheduled
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def test_chat_edenai() -> None:
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"""Test ChatEdenAI wrapper."""
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chat = ChatEdenAI(
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provider="openai", model="gpt-3.5-turbo", temperature=0, max_tokens=1000
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)
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message = HumanMessage(content="Who are you ?")
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response = chat([message])
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assert isinstance(response, AIMessage)
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assert isinstance(response.content, str)
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@pytest.mark.scheduled
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def test_edenai_generate() -> None:
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"""Test generate method of edenai."""
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chat = ChatEdenAI(provider="google")
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chat_messages: List[List[BaseMessage]] = [
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[HumanMessage(content="What is the meaning of life?")]
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]
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messages_copy = [messages.copy() for messages in chat_messages]
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result: LLMResult = chat.generate(chat_messages)
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assert isinstance(result, LLMResult)
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for response in result.generations[0]:
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assert isinstance(response, ChatGeneration)
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assert isinstance(response.text, str)
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assert response.text == response.message.content
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assert chat_messages == messages_copy
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@pytest.mark.scheduled
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async def test_edenai_async_generate() -> None:
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"""Test async generation."""
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chat = ChatEdenAI(provider="google", max_tokens=50)
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message = HumanMessage(content="Hello")
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result: LLMResult = await chat.agenerate([[message], [message]])
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assert isinstance(result, LLMResult)
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for response in result.generations[0]:
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assert isinstance(response, ChatGeneration)
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assert isinstance(response.text, str)
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assert response.text == response.message.content
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@pytest.mark.scheduled
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def test_edenai_streaming() -> None:
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"""Test streaming EdenAI chat."""
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llm = ChatEdenAI(provider="openai", max_tokens=50)
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for chunk in llm.stream("Generate a high fantasy story."):
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assert isinstance(chunk.content, str)
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@pytest.mark.scheduled
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async def test_edenai_astream() -> None:
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"""Test streaming from EdenAI."""
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llm = ChatEdenAI(provider="openai", max_tokens=50)
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async for token in llm.astream("Generate a high fantasy story."):
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assert isinstance(token.content, str)
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