本教程将展示如何使用 AI Agents 处理数据框和时间序列。我会提供一些实用的 Python 代码(可以直接复制粘贴运行),并逐行讲解,让你能轻松复现本示例(文末有完整代码链接)。 环境搭建 首先,我们使用 Ollama(pip install ollama==0.4.7)来部署。Ollama 是一个可让用户本地运行开源 LLM 的库,无需依赖云端服务,更...
Generative Agents: Interactive Simulacra of Human Behavior, 2023.04, Stanford 代码已开源:https://github.com/joonspk-research/generative_agents 虚拟小镇,一个agent就是一个虚拟人物,25个agents之间的故事。 架构 代理(Agents)感知他们的环境,当前代理所有的感知(完整的经历记录)都被保存在一个名为"记忆流"(mem...
Throughout the month of April, join us for a series of live-streamed sessions on theMicrosoft Reactor YouTube channelcovering the latest in AI agent development. Over twenty streams will be focused on building AI agents with Python, using popular frameworks likeSemantic Kernel,Autogen, andLangcha...
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python -m venv env source env/bin/activate Install Agents SDK pip install openai-agents For voice support, install with the optional voice group: pip install 'openai-agents[voice]'. Hello world example from agents import Agent, Runner agent = Agent(name="Assistant", instructions="You are...
如果你是后端工程师,也会用 Python,可以使用 pip 命令直接安装: pip install agent-squad[aws] 以下是一个等效的Python示例,演示了使用Bedrock LLM Agent和Lex Bot Agent的Agent Squad: import sysimport asynciofrom agent_squad.orchestrat...
CAMEL is an open-source library designed for the study of autonomous and communicative agents. 1)AI user agent: give instructions to the AI assistant with the goal of completing the task. AI assistant agent: follow AI user’s instructions and respond with solutions to the task CAMEL also ha...
Python # Import necessary librariesfromlangchain.agentsimportinitialize_agent, AgentTypefromlangchain.toolsimportDuckDuckGoSearchResults, Toolfromlangchain.chainsimportLLMChainfromlangchain.llms.openaiimportChatOpenAIfromlangchain.promptsimportPromptTemplate# Initialize toolsddg_search = DuckDuckGoSearchResults() ...
Python Kopiëren file = project_client.agents.upload_file_and_poll(file_path="product_info_1.md", purpose="assistants") print(f"Uploaded file, file ID: {file.id}") vector_store = project_client.agents.create_vector_store_and_poll(file_ids=[file.id], name="my_vectorstore") print(...
五层架构模型AI Agent系统遵循感知→认知→决策→执行→学习的闭环架构: Python # 决策引擎示例(基于LangChain)from langchain.agents import initialize_agentagent = initialize_agent(tools, llm, agent="self-ask-with-search")获课 ♥》感知层:集成多模态输入(语音识别、传感器数据、图像处理),通过LLM的...