tjdify/api/tests/integration_tests/model_runtime/openllm/test_llm.py

import os
import pytest

from typing import Generator

from core.model_runtime.entities.message_entities import AssistantPromptMessage, UserPromptMessage
from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunkDelta, \
    LLMResultChunk
from core.model_runtime.errors.validate import CredentialsValidateFailedError
from core.model_runtime.model_providers.openllm.llm.llm import OpenLLMLargeLanguageModel

def test_validate_credentials_for_chat_model():
    model = OpenLLMLargeLanguageModel()

    with pytest.raises(CredentialsValidateFailedError):
        model.validate_credentials(
            model='NOT IMPORTANT',
            credentials={
                'server_url': 'invalid_key',
            }
        )

    model.validate_credentials(
        model='NOT IMPORTANT',
        credentials={
            'server_url': os.environ.get('OPENLLM_SERVER_URL'),
        }
    )

def test_invoke_model():
    model = OpenLLMLargeLanguageModel()

    response = model.invoke(
        model='NOT IMPORTANT',
        credentials={
            'server_url': os.environ.get('OPENLLM_SERVER_URL'),
        },
        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():
    model = OpenLLMLargeLanguageModel()

    response = model.invoke(
        model='NOT IMPORTANT',
        credentials={
            'server_url': os.environ.get('OPENLLM_SERVER_URL'),
        },
        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_get_num_tokens():
    model = OpenLLMLargeLanguageModel()

    response = model.get_num_tokens(
        model='NOT IMPORTANT',
        credentials={
            'server_url': os.environ.get('OPENLLM_SERVER_URL'),
        },
        prompt_messages=[
            UserPromptMessage(
                content='Hello World!'
            )
        ],
        tools=[]
    )

    assert isinstance(response, int)
    assert response == 3