File size: 2,552 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 |
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
|