mirror of
https://github.com/hwchase17/langchain
synced 2024-11-06 03:20:49 +00:00
fc196cab12
Add deepinfra chat models support. This is https://github.com/langchain-ai/langchain/pull/14234 re-opened from my branch (so maintainers can edit).
66 lines
2.2 KiB
Python
66 lines
2.2 KiB
Python
"""Test ChatDeepInfra wrapper."""
|
|
from langchain_core.messages import BaseMessage, HumanMessage
|
|
from langchain_core.outputs import ChatGeneration, LLMResult
|
|
|
|
from langchain_community.chat_models.deepinfra import ChatDeepInfra
|
|
from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
|
|
|
|
|
|
def test_chat_deepinfra() -> None:
|
|
"""Test valid call to DeepInfra."""
|
|
chat = ChatDeepInfra(
|
|
max_tokens=10,
|
|
)
|
|
response = chat.invoke([HumanMessage(content="Hello")])
|
|
assert isinstance(response, BaseMessage)
|
|
assert isinstance(response.content, str)
|
|
|
|
|
|
def test_chat_deepinfra_streaming() -> None:
|
|
callback_handler = FakeCallbackHandler()
|
|
chat = ChatDeepInfra(
|
|
callbacks=[callback_handler],
|
|
streaming=True,
|
|
max_tokens=10,
|
|
)
|
|
response = chat.invoke([HumanMessage(content="Hello")])
|
|
assert callback_handler.llm_streams > 0
|
|
assert isinstance(response, BaseMessage)
|
|
|
|
|
|
async def test_async_chat_deepinfra() -> None:
|
|
"""Test async generation."""
|
|
chat = ChatDeepInfra(
|
|
max_tokens=10,
|
|
)
|
|
message = HumanMessage(content="Hello")
|
|
response = await chat.agenerate([[message]])
|
|
assert isinstance(response, LLMResult)
|
|
assert len(response.generations) == 1
|
|
assert len(response.generations[0]) == 1
|
|
generation = response.generations[0][0]
|
|
assert isinstance(generation, ChatGeneration)
|
|
assert isinstance(generation.text, str)
|
|
assert generation.text == generation.message.content
|
|
|
|
|
|
async def test_async_chat_deepinfra_streaming() -> None:
|
|
callback_handler = FakeCallbackHandler()
|
|
chat = ChatDeepInfra(
|
|
# model="meta-llama/Llama-2-7b-chat-hf",
|
|
callbacks=[callback_handler],
|
|
max_tokens=10,
|
|
streaming=True,
|
|
timeout=5,
|
|
)
|
|
message = HumanMessage(content="Hello")
|
|
response = await chat.agenerate([[message]])
|
|
assert callback_handler.llm_streams > 0
|
|
assert isinstance(response, LLMResult)
|
|
assert len(response.generations) == 1
|
|
assert len(response.generations[0]) == 1
|
|
generation = response.generations[0][0]
|
|
assert isinstance(generation, ChatGeneration)
|
|
assert isinstance(generation.text, str)
|
|
assert generation.text == generation.message.content
|