dify/api/tests/integration_tests/model_runtime/wenxin/test_llm.py

import os
from time import sleep
from typing 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.entities.model_entities import AIModelEntity
from core.model_runtime.errors.validate import CredentialsValidateFailedError
from core.model_runtime.model_providers.wenxin.llm.llm import ErnieBotLargeLanguageModel


def test_predefined_models():
    model = ErnieBotLargeLanguageModel()
    model_schemas = model.predefined_models()
    assert len(model_schemas) >= 1
    assert isinstance(model_schemas[0], AIModelEntity)

def test_validate_credentials_for_chat_model():
    sleep(3)
    model = ErnieBotLargeLanguageModel()

    with pytest.raises(CredentialsValidateFailedError):
        model.validate_credentials(
            model='ernie-bot',
            credentials={
                'api_key': 'invalid_key',
                'secret_key': 'invalid_key'
            }
        )

    model.validate_credentials(
        model='ernie-bot',
        credentials={
            'api_key': os.environ.get('WENXIN_API_KEY'),
            'secret_key': os.environ.get('WENXIN_SECRET_KEY')
        }
    )

def test_invoke_model_ernie_bot():
    sleep(3)
    model = ErnieBotLargeLanguageModel()

    response = model.invoke(
        model='ernie-bot',
        credentials={
            'api_key': os.environ.get('WENXIN_API_KEY'),
            'secret_key': os.environ.get('WENXIN_SECRET_KEY')
        },
        prompt_messages=[
            UserPromptMessage(
                content='Hello World!'
            )
        ],
        model_parameters={
            'temperature': 0.7,
            'top_p': 1.0,
        },
        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_model_ernie_bot_turbo():
    sleep(3)
    model = ErnieBotLargeLanguageModel()

    response = model.invoke(
        model='ernie-bot-turbo',
        credentials={
            'api_key': os.environ.get('WENXIN_API_KEY'),
            'secret_key': os.environ.get('WENXIN_SECRET_KEY')
        },
        prompt_messages=[
            UserPromptMessage(
                content='Hello World!'
            )
        ],
        model_parameters={
            'temperature': 0.7,
            'top_p': 1.0,
        },
        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_model_ernie_8k():
    sleep(3)
    model = ErnieBotLargeLanguageModel()

    response = model.invoke(
        model='ernie-bot-8k',
        credentials={
            'api_key': os.environ.get('WENXIN_API_KEY'),
            'secret_key': os.environ.get('WENXIN_SECRET_KEY')
        },
        prompt_messages=[
            UserPromptMessage(
                content='Hello World!'
            )
        ],
        model_parameters={
            'temperature': 0.7,
            'top_p': 1.0,
        },
        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_model_ernie_bot_4():
    sleep(3)
    model = ErnieBotLargeLanguageModel()

    response = model.invoke(
        model='ernie-bot-4',
        credentials={
            'api_key': os.environ.get('WENXIN_API_KEY'),
            'secret_key': os.environ.get('WENXIN_SECRET_KEY')
        },
        prompt_messages=[
            UserPromptMessage(
                content='Hello World!'
            )
        ],
        model_parameters={
            'temperature': 0.7,
            'top_p': 1.0,
        },
        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():
    sleep(3)
    model = ErnieBotLargeLanguageModel()

    response = model.invoke(
        model='ernie-3.5-8k',
        credentials={
            'api_key': os.environ.get('WENXIN_API_KEY'),
            'secret_key': os.environ.get('WENXIN_SECRET_KEY')
        },
        prompt_messages=[
            UserPromptMessage(
                content='Hello World!'
            )
        ],
        model_parameters={
            'temperature': 0.7,
            'top_p': 1.0,
        },
        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_invoke_model_with_system():
    sleep(3)
    model = ErnieBotLargeLanguageModel()

    response = model.invoke(
        model='ernie-bot',
        credentials={
            'api_key': os.environ.get('WENXIN_API_KEY'),
            'secret_key': os.environ.get('WENXIN_SECRET_KEY')
        },
        prompt_messages=[
            SystemPromptMessage(
                content='你是Kasumi'
            ),
            UserPromptMessage(
                content='你是谁？'
            )
        ],
        model_parameters={
            'temperature': 0.7,
            'top_p': 1.0,
        },
        stop=['you'],
        stream=False,
        user="abc-123"
    )

    assert isinstance(response, LLMResult)
    assert 'kasumi' in response.message.content.lower()

def test_invoke_with_search():
    sleep(3)
    model = ErnieBotLargeLanguageModel()

    response = model.invoke(
        model='ernie-bot',
        credentials={
            'api_key': os.environ.get('WENXIN_API_KEY'),
            'secret_key': os.environ.get('WENXIN_SECRET_KEY')
        },
        prompt_messages=[
            UserPromptMessage(
                content='北京今天的天气怎么样'
            )
        ],
        model_parameters={
            'temperature': 0.7,
            'top_p': 1.0,
            'disable_search': True,
        },
        stop=[],
        stream=True,
        user="abc-123"
    )

    assert isinstance(response, Generator)
    total_message = ''
    for chunk in response:
        assert isinstance(chunk, LLMResultChunk)
        assert isinstance(chunk.delta, LLMResultChunkDelta)
        assert isinstance(chunk.delta.message, AssistantPromptMessage)
        total_message += chunk.delta.message.content
        print(chunk.delta.message.content)
        assert len(chunk.delta.message.content) > 0 if not chunk.delta.finish_reason else True

    # there should be 对不起、我不能、不支持……
    assert ('不' in total_message or '抱歉' in total_message or '无法' in total_message)

def test_get_num_tokens():
    sleep(3)
    model = ErnieBotLargeLanguageModel()

    response = model.get_num_tokens(
        model='ernie-bot',
        credentials={
            'api_key': os.environ.get('WENXIN_API_KEY'),
            'secret_key': os.environ.get('WENXIN_SECRET_KEY')
        },
        prompt_messages=[
            UserPromptMessage(
                content='Hello World!'
            )
        ],
        tools=[]
    )

    assert isinstance(response, int)
    assert response == 10