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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.openrouter.llm.llm import OpenRouterLargeLanguageModel
def test_validate_credentials():
model = OpenRouterLargeLanguageModel()
with pytest.raises(CredentialsValidateFailedError):
model.validate_credentials(
model="mistralai/mixtral-8x7b-instruct", credentials={"api_key": "invalid_key", "mode": "chat"}
)
model.validate_credentials(
model="mistralai/mixtral-8x7b-instruct",
credentials={"api_key": os.environ.get("TOGETHER_API_KEY"), "mode": "chat"},
)
def test_invoke_model():
model = OpenRouterLargeLanguageModel()
response = model.invoke(
model="mistralai/mixtral-8x7b-instruct",
credentials={"api_key": os.environ.get("TOGETHER_API_KEY"), "mode": "completion"},
prompt_messages=[
SystemPromptMessage(
content="You are a helpful AI assistant.",
),
UserPromptMessage(content="Who are you?"),
],
model_parameters={
"temperature": 1.0,
"top_k": 2,
"top_p": 0.5,
},
stop=["How"],
stream=False,
user="abc-123",
)
assert isinstance(response, LLMResult)
assert len(response.message.content) > 0
def test_invoke_stream_model():
model = OpenRouterLargeLanguageModel()
response = model.invoke(
model="mistralai/mixtral-8x7b-instruct",
credentials={"api_key": os.environ.get("TOGETHER_API_KEY"), "mode": "chat"},
prompt_messages=[
SystemPromptMessage(
content="You are a helpful AI assistant.",
),
UserPromptMessage(content="Who are you?"),
],
model_parameters={
"temperature": 1.0,
"top_k": 2,
"top_p": 0.5,
},
stop=["How"],
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)
def test_get_num_tokens():
model = OpenRouterLargeLanguageModel()
num_tokens = model.get_num_tokens(
model="mistralai/mixtral-8x7b-instruct",
credentials={
"api_key": os.environ.get("TOGETHER_API_KEY"),
},
prompt_messages=[
SystemPromptMessage(
content="You are a helpful AI assistant.",
),
UserPromptMessage(content="Hello World!"),
],
)
assert isinstance(num_tokens, int)
assert num_tokens == 21
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