Co-authored-by: -LAN- <laipz8200@outlook.com>
This commit is contained in:
@@ -13,18 +13,10 @@ def test_validate_credentials():
|
||||
model = TongyiLargeLanguageModel()
|
||||
|
||||
with pytest.raises(CredentialsValidateFailedError):
|
||||
model.validate_credentials(
|
||||
model='qwen-turbo',
|
||||
credentials={
|
||||
'dashscope_api_key': 'invalid_key'
|
||||
}
|
||||
)
|
||||
model.validate_credentials(model="qwen-turbo", credentials={"dashscope_api_key": "invalid_key"})
|
||||
|
||||
model.validate_credentials(
|
||||
model='qwen-turbo',
|
||||
credentials={
|
||||
'dashscope_api_key': os.environ.get('TONGYI_DASHSCOPE_API_KEY')
|
||||
}
|
||||
model="qwen-turbo", credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")}
|
||||
)
|
||||
|
||||
|
||||
@@ -32,22 +24,13 @@ def test_invoke_model():
|
||||
model = TongyiLargeLanguageModel()
|
||||
|
||||
response = model.invoke(
|
||||
model='qwen-turbo',
|
||||
credentials={
|
||||
'dashscope_api_key': os.environ.get('TONGYI_DASHSCOPE_API_KEY')
|
||||
},
|
||||
prompt_messages=[
|
||||
UserPromptMessage(
|
||||
content='Who are you?'
|
||||
)
|
||||
],
|
||||
model_parameters={
|
||||
'temperature': 0.5,
|
||||
'max_tokens': 10
|
||||
},
|
||||
stop=['How'],
|
||||
model="qwen-turbo",
|
||||
credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")},
|
||||
prompt_messages=[UserPromptMessage(content="Who are you?")],
|
||||
model_parameters={"temperature": 0.5, "max_tokens": 10},
|
||||
stop=["How"],
|
||||
stream=False,
|
||||
user="abc-123"
|
||||
user="abc-123",
|
||||
)
|
||||
|
||||
assert isinstance(response, LLMResult)
|
||||
@@ -58,22 +41,12 @@ def test_invoke_stream_model():
|
||||
model = TongyiLargeLanguageModel()
|
||||
|
||||
response = model.invoke(
|
||||
model='qwen-turbo',
|
||||
credentials={
|
||||
'dashscope_api_key': os.environ.get('TONGYI_DASHSCOPE_API_KEY')
|
||||
},
|
||||
prompt_messages=[
|
||||
UserPromptMessage(
|
||||
content='Hello World!'
|
||||
)
|
||||
],
|
||||
model_parameters={
|
||||
'temperature': 0.5,
|
||||
'max_tokens': 100,
|
||||
'seed': 1234
|
||||
},
|
||||
model="qwen-turbo",
|
||||
credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")},
|
||||
prompt_messages=[UserPromptMessage(content="Hello World!")],
|
||||
model_parameters={"temperature": 0.5, "max_tokens": 100, "seed": 1234},
|
||||
stream=True,
|
||||
user="abc-123"
|
||||
user="abc-123",
|
||||
)
|
||||
|
||||
assert isinstance(response, Generator)
|
||||
@@ -89,18 +62,14 @@ def test_get_num_tokens():
|
||||
model = TongyiLargeLanguageModel()
|
||||
|
||||
num_tokens = model.get_num_tokens(
|
||||
model='qwen-turbo',
|
||||
credentials={
|
||||
'dashscope_api_key': os.environ.get('TONGYI_DASHSCOPE_API_KEY')
|
||||
},
|
||||
model="qwen-turbo",
|
||||
credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")},
|
||||
prompt_messages=[
|
||||
SystemPromptMessage(
|
||||
content='You are a helpful AI assistant.',
|
||||
content="You are a helpful AI assistant.",
|
||||
),
|
||||
UserPromptMessage(
|
||||
content='Hello World!'
|
||||
)
|
||||
]
|
||||
UserPromptMessage(content="Hello World!"),
|
||||
],
|
||||
)
|
||||
|
||||
assert num_tokens == 12
|
||||
|
||||
@@ -10,12 +10,8 @@ def test_validate_provider_credentials():
|
||||
provider = TongyiProvider()
|
||||
|
||||
with pytest.raises(CredentialsValidateFailedError):
|
||||
provider.validate_provider_credentials(
|
||||
credentials={}
|
||||
)
|
||||
provider.validate_provider_credentials(credentials={})
|
||||
|
||||
provider.validate_provider_credentials(
|
||||
credentials={
|
||||
'dashscope_api_key': os.environ.get('TONGYI_DASHSCOPE_API_KEY')
|
||||
}
|
||||
credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")}
|
||||
)
|
||||
|
||||
@@ -39,21 +39,17 @@ def invoke_model_with_json_response(model_name="qwen-max-0403"):
|
||||
|
||||
response = model.invoke(
|
||||
model=model_name,
|
||||
credentials={
|
||||
'dashscope_api_key': os.environ.get('TONGYI_DASHSCOPE_API_KEY')
|
||||
},
|
||||
credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")},
|
||||
prompt_messages=[
|
||||
UserPromptMessage(
|
||||
content='output json data with format `{"data": "test", "code": 200, "msg": "success"}'
|
||||
)
|
||||
UserPromptMessage(content='output json data with format `{"data": "test", "code": 200, "msg": "success"}')
|
||||
],
|
||||
model_parameters={
|
||||
'temperature': 0.5,
|
||||
'max_tokens': 50,
|
||||
'response_format': 'JSON',
|
||||
"temperature": 0.5,
|
||||
"max_tokens": 50,
|
||||
"response_format": "JSON",
|
||||
},
|
||||
stream=True,
|
||||
user="abc-123"
|
||||
user="abc-123",
|
||||
)
|
||||
print("=====================================")
|
||||
print(response)
|
||||
@@ -81,4 +77,4 @@ def is_json(s):
|
||||
json.loads(s)
|
||||
except ValueError:
|
||||
return False
|
||||
return True
|
||||
return True
|
||||
|
||||
Reference in New Issue
Block a user