mirror of
https://github.com/RYDE-WORK/Langchain-Chatchat.git
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44 lines
1.5 KiB
Python
44 lines
1.5 KiB
Python
import os
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from typing import cast, Generator
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from model_providers import provider_manager
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from model_providers.core.model_manager import ModelManager
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from model_providers.core.model_runtime.entities.llm_entities import LLMResultChunk, LLMResultChunkDelta
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from model_providers.core.model_runtime.entities.message_entities import UserPromptMessage, AssistantPromptMessage
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from model_providers.core.model_runtime.entities.model_entities import ModelType
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if __name__ == '__main__':
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# 基于配置管理器创建的模型实例
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# Invoke model
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model_instance = provider_manager.get_model_instance(provider='openai', model_type=ModelType.LLM, model='gpt-4')
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response = model_instance.invoke_llm(
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prompt_messages=[
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UserPromptMessage(
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content='北京今天的天气怎么样'
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)
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],
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model_parameters={
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'temperature': 0.7,
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'top_p': 1.0,
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'top_k': 1,
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'plugin_web_search': True,
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},
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stop=['you'],
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stream=True,
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user="abc-123"
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)
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assert isinstance(response, Generator)
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total_message = ''
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for chunk in response:
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assert isinstance(chunk, LLMResultChunk)
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assert isinstance(chunk.delta, LLMResultChunkDelta)
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assert isinstance(chunk.delta.message, AssistantPromptMessage)
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total_message += chunk.delta.message.content
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assert len(chunk.delta.message.content) > 0 if not chunk.delta.finish_reason else True
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print(total_message)
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assert '参考资料' in total_message
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