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

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,
    PromptMessageTool,
    SystemPromptMessage,
    UserPromptMessage,
)
from core.model_runtime.errors.validate import CredentialsValidateFailedError
from core.model_runtime.model_providers.zhipuai.llm.llm import ZhipuAILargeLanguageModel


def test_validate_credentials():
    model = ZhipuAILargeLanguageModel()

    with pytest.raises(CredentialsValidateFailedError):
        model.validate_credentials(model="chatglm_turbo", credentials={"api_key": "invalid_key"})

    model.validate_credentials(model="chatglm_turbo", credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")})


def test_invoke_model():
    model = ZhipuAILargeLanguageModel()

    response = model.invoke(
        model="chatglm_turbo",
        credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")},
        prompt_messages=[UserPromptMessage(content="Who are you?")],
        model_parameters={"temperature": 0.9, "top_p": 0.7},
        stop=["How"],
        stream=False,
        user="abc-123",
    )

    assert isinstance(response, LLMResult)
    assert len(response.message.content) > 0


def test_invoke_stream_model():
    model = ZhipuAILargeLanguageModel()

    response = model.invoke(
        model="chatglm_turbo",
        credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")},
        prompt_messages=[UserPromptMessage(content="Hello World!")],
        model_parameters={"temperature": 0.9, "top_p": 0.7},
        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 = ZhipuAILargeLanguageModel()

    num_tokens = model.get_num_tokens(
        model="chatglm_turbo",
        credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")},
        prompt_messages=[
            SystemPromptMessage(
                content="You are a helpful AI assistant.",
            ),
            UserPromptMessage(content="Hello World!"),
        ],
    )

    assert num_tokens == 14


def test_get_tools_num_tokens():
    model = ZhipuAILargeLanguageModel()

    num_tokens = model.get_num_tokens(
        model="tools",
        credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")},
        tools=[
            PromptMessageTool(
                name="get_current_weather",
                description="Get the current weather in a given location",
                parameters={
                    "type": "object",
                    "properties": {
                        "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"},
                        "unit": {"type": "string", "enum": ["c", "f"]},
                    },
                    "required": ["location"],
                },
            )
        ],
        prompt_messages=[
            SystemPromptMessage(
                content="You are a helpful AI assistant.",
            ),
            UserPromptMessage(content="Hello World!"),
        ],
    )

    assert num_tokens == 88