File size: 4,486 Bytes
a8b3f00 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 |
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
|