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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.hunyuan.llm.llm import HunyuanLargeLanguageModel
def test_validate_credentials():
model = HunyuanLargeLanguageModel()
with pytest.raises(CredentialsValidateFailedError):
model.validate_credentials(
model="hunyuan-standard", credentials={"secret_id": "invalid_key", "secret_key": "invalid_key"}
)
model.validate_credentials(
model="hunyuan-standard",
credentials={
"secret_id": os.environ.get("HUNYUAN_SECRET_ID"),
"secret_key": os.environ.get("HUNYUAN_SECRET_KEY"),
},
)
def test_invoke_model():
model = HunyuanLargeLanguageModel()
response = model.invoke(
model="hunyuan-standard",
credentials={
"secret_id": os.environ.get("HUNYUAN_SECRET_ID"),
"secret_key": os.environ.get("HUNYUAN_SECRET_KEY"),
},
prompt_messages=[UserPromptMessage(content="Hi")],
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 = HunyuanLargeLanguageModel()
response = model.invoke(
model="hunyuan-standard",
credentials={
"secret_id": os.environ.get("HUNYUAN_SECRET_ID"),
"secret_key": os.environ.get("HUNYUAN_SECRET_KEY"),
},
prompt_messages=[UserPromptMessage(content="Hi")],
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 = HunyuanLargeLanguageModel()
num_tokens = model.get_num_tokens(
model="hunyuan-standard",
credentials={
"secret_id": os.environ.get("HUNYUAN_SECRET_ID"),
"secret_key": os.environ.get("HUNYUAN_SECRET_KEY"),
},
prompt_messages=[
SystemPromptMessage(
content="You are a helpful AI assistant.",
),
UserPromptMessage(content="Hello World!"),
],
)
assert num_tokens == 14
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