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import os
from collections.abc import Generator
from time import sleep
import pytest
from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
from core.model_runtime.entities.message_entities import AssistantPromptMessage, UserPromptMessage
from core.model_runtime.entities.model_entities import AIModelEntity
from core.model_runtime.errors.validate import CredentialsValidateFailedError
from core.model_runtime.model_providers.minimax.llm.llm import MinimaxLargeLanguageModel
def test_predefined_models():
model = MinimaxLargeLanguageModel()
model_schemas = model.predefined_models()
assert len(model_schemas) >= 1
assert isinstance(model_schemas[0], AIModelEntity)
def test_validate_credentials_for_chat_model():
sleep(3)
model = MinimaxLargeLanguageModel()
with pytest.raises(CredentialsValidateFailedError):
model.validate_credentials(
model='abab5.5-chat',
credentials={
'minimax_api_key': 'invalid_key',
'minimax_group_id': 'invalid_key'
}
)
model.validate_credentials(
model='abab5.5-chat',
credentials={
'minimax_api_key': os.environ.get('MINIMAX_API_KEY'),
'minimax_group_id': os.environ.get('MINIMAX_GROUP_ID')
}
)
def test_invoke_model():
sleep(3)
model = MinimaxLargeLanguageModel()
response = model.invoke(
model='abab5-chat',
credentials={
'minimax_api_key': os.environ.get('MINIMAX_API_KEY'),
'minimax_group_id': os.environ.get('MINIMAX_GROUP_ID')
},
prompt_messages=[
UserPromptMessage(
content='Hello World!'
)
],
model_parameters={
'temperature': 0.7,
'top_p': 1.0,
'top_k': 1,
},
stop=['you'],
user="abc-123",
stream=False
)
assert isinstance(response, LLMResult)
assert len(response.message.content) > 0
assert response.usage.total_tokens > 0
def test_invoke_stream_model():
sleep(3)
model = MinimaxLargeLanguageModel()
response = model.invoke(
model='abab5.5-chat',
credentials={
'minimax_api_key': os.environ.get('MINIMAX_API_KEY'),
'minimax_group_id': os.environ.get('MINIMAX_GROUP_ID')
},
prompt_messages=[
UserPromptMessage(
content='Hello World!'
)
],
model_parameters={
'temperature': 0.7,
'top_p': 1.0,
'top_k': 1,
},
stop=['you'],
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_invoke_with_search():
sleep(3)
model = MinimaxLargeLanguageModel()
response = model.invoke(
model='abab5.5-chat',
credentials={
'minimax_api_key': os.environ.get('MINIMAX_API_KEY'),
'minimax_group_id': os.environ.get('MINIMAX_GROUP_ID')
},
prompt_messages=[
UserPromptMessage(
content='北京今天的天气怎么样'
)
],
model_parameters={
'temperature': 0.7,
'top_p': 1.0,
'top_k': 1,
'plugin_web_search': True,
},
stop=['you'],
stream=True,
user="abc-123"
)
assert isinstance(response, Generator)
total_message = ''
for chunk in response:
assert isinstance(chunk, LLMResultChunk)
assert isinstance(chunk.delta, LLMResultChunkDelta)
assert isinstance(chunk.delta.message, AssistantPromptMessage)
total_message += chunk.delta.message.content
assert len(chunk.delta.message.content) > 0 if not chunk.delta.finish_reason else True
assert '参考资料' in total_message
def test_get_num_tokens():
sleep(3)
model = MinimaxLargeLanguageModel()
response = model.get_num_tokens(
model='abab5.5-chat',
credentials={
'minimax_api_key': os.environ.get('MINIMAX_API_KEY'),
'minimax_group_id': os.environ.get('MINIMAX_GROUP_ID')
},
prompt_messages=[
UserPromptMessage(
content='Hello World!'
)
],
tools=[]
)
assert isinstance(response, int)
assert response == 30 |