dify/api/tests/integration_tests/model_runtime/siliconflow/test_llm.py
2024-07-29 18:45:19 +08:00

107 lines
2.9 KiB
Python

import os
from collections.abc import Generator
import pytest
from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage
from core.model_runtime.errors.validate import CredentialsValidateFailedError
from core.model_runtime.model_providers.siliconflow.llm.llm import SiliconflowLargeLanguageModel
def test_validate_credentials():
model = SiliconflowLargeLanguageModel()
with pytest.raises(CredentialsValidateFailedError):
model.validate_credentials(
model='deepseek-ai/DeepSeek-V2-Chat',
credentials={
'api_key': 'invalid_key'
}
)
model.validate_credentials(
model='deepseek-ai/DeepSeek-V2-Chat',
credentials={
'api_key': os.environ.get('API_KEY')
}
)
def test_invoke_model():
model = SiliconflowLargeLanguageModel()
response = model.invoke(
model='deepseek-ai/DeepSeek-V2-Chat',
credentials={
'api_key': os.environ.get('API_KEY')
},
prompt_messages=[
UserPromptMessage(
content='Who are you?'
)
],
model_parameters={
'temperature': 0.5,
'max_tokens': 10
},
stop=['How'],
stream=False,
user="abc-123"
)
assert isinstance(response, LLMResult)
assert len(response.message.content) > 0
def test_invoke_stream_model():
model = SiliconflowLargeLanguageModel()
response = model.invoke(
model='deepseek-ai/DeepSeek-V2-Chat',
credentials={
'api_key': os.environ.get('API_KEY')
},
prompt_messages=[
UserPromptMessage(
content='Hello World!'
)
],
model_parameters={
'temperature': 0.5,
'max_tokens': 100,
'seed': 1234
},
stream=True,
user="abc-123"
)
assert isinstance(response, Generator)
for chunk in response:
assert isinstance(chunk, LLMResultChunk)
assert isinstance(chunk.delta, LLMResultChunkDelta)
assert isinstance(chunk.delta.message, AssistantPromptMessage)
assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
def test_get_num_tokens():
model = SiliconflowLargeLanguageModel()
num_tokens = model.get_num_tokens(
model='deepseek-ai/DeepSeek-V2-Chat',
credentials={
'api_key': os.environ.get('API_KEY')
},
prompt_messages=[
SystemPromptMessage(
content='You are a helpful AI assistant.',
),
UserPromptMessage(
content='Hello World!'
)
]
)
assert num_tokens == 12