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以下是一个参考方案，在服务器上使用Ollama和LangChain部署一个AI agent，并通过Rest API进行调用：

步骤 1：准备环境

1. 安装必要的软件：
   • Python 3.8或更高版本
   • Ollama
   • LangChain
   • FastAPI（用于创建Rest API）
2. 安装依赖：

   pip install ollama langchain fastapi uvicorn

   步骤 2：配置Ollama和LangChain

3. 配置Ollama：
   • 下载并配置Ollama模型，例如Llama 3。
   • 确保模型文件和配置文件正确放置在服务器上。
4. 配置LangChain：
   • 创建一个LangChain项目，并配置所需的工具和模型。

     步骤 3：创建AI Agent

5. 定义AI Agent：

   from langchain import LangChain
   from ollama import Ollama
   # 初始化Ollama模型
   ollama_model = Ollama(model_path="path/to/ollama/model")
   # 创建LangChain实例
   langchain = LangChain(model=ollama_model)
   # 定义AI Agent
   def ai_agent(question: str) -> str:
       response = langchain.ask(question)
       return response

   步骤 4：创建Rest API

6. 使用FastAPI创建API：

   from fastapi import FastAPI
   from pydantic import BaseModel
   app = FastAPI()
   class Question(BaseModel):
       question: str
   @app.post("/ask")
   async def ask_question(question: Question):
       answer = ai_agent(question.question)
       return {"answer": answer}
   if __name__ == "__main__":
       import uvicorn
       uvicorn.run(app, host="0.0.0.0", port=8000)

   步骤 5：部署和测试

7. 部署服务器：
   • 使用Docker或其他部署工具将应用部署到服务器上。
   • 确保服务器可以通过外网访问。
8. 测试API：
   • 使用Postman或curl测试API：

     curl -X POST "http://your-server-ip:8000/ask" -H "Content-Type: application/json" -d '{"question": "你的问题"}'

     这样，就可以通过Rest API调用AI agent，并获取处理后的答案了。

参考：
(1) JSON agents with Ollama & LangChain. https://blog.langchain.dev/json-based-agents-with-ollama-and-langchain/.
(2) Building Local AI Agents: A Guide to LangGraph, AI Agents, and Ollama. https://blog.paperspace.com/building-local-ai-agents-a-guide-to-langgraph-ai-agents-and-ollama/.
(3) Steps to Build an AI Agent Using Zephyr, Ollama, and LangChain. https://www.superteams.ai/blog/steps-to-build-an-ai-agent-using-zephyr-ollama-and-langchain.
(4) How-to: Creating Your Own Intelligent GPT Agent: The Coding Wingman (FastAPI + GitHub Search API) - OpenAI API Community Forum. https://community.openai.com/t/how-to-creating-your-own-intelligent-gpt-agent-the-coding-wingman-fastapi-github-search-api/554069.
(5) 15 Best AI Agent Builders in 2024 (Free & Paid). https://usefulai.com/tools/ai-agents.
(6) APIs and reference | Vertex AI Agent Builder | Google Cloud. https://cloud.google.com/generative-ai-app-builder/docs/apis.
(7) Introduction to Spring AI | Baeldung. https://www.baeldung.com/spring-ai.
(8) REST API integration: use cases, best practices, and tools. https://www.merge.dev/blog/rest-api-integration.
(9) Local AI Agents with CrewAI (and Ollama) | FOSS Engineer. https://fossengineer.com/ai-agents-crewai/.
(10) Ollama | ️ Langchain. https://js.langchain.com/v0.2/docs/integrations/llms/ollama/.
(11) undefined. https://chat.openai.com/g/g-rvFHm9pMe-the-coding-wingman.