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@ -4,9 +4,10 @@ A LangGraph-powered AI agent designed to assist system administrators in their d
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## 🛠️ Technology Stack
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This is a **LangGraph program** (AI agent) that combines:
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This is a **LangGraph agent** that combines:
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- **LangGraph**: State-based AI agent framework for building conversational AI workflows
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- **ReAct (Reasoning and Acting)**: Langchain [primitive to create ReAct agents](https://langchain-ai.github.io/langgraph/agents/overview/)
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- **OpenAI GPT-4o-mini**: Large Language Model for intelligent reasoning and tool usage
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- **LangChain Tools**:
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- [**ShellTool** (prebuilt)](https://python.langchain.com/api_reference/community/tools/langchain_community.tools.shell.tool.ShellTool.html): Executes shell commands for system investigation
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@ -167,8 +168,9 @@ This project raises several interesting technical and architectural questions wo
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- **Should we pass [all the conversation history](https://www.reddit.com/r/LangChain/comments/1f3nqud/sending_the_entire_conversation_on_each_call_to/) to the LLM or not?**
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### Framework Classification
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- **Is this a LangChain program or a [LangChain agent](https://langchain-ai.github.io/langgraph/agents/overview/)?**
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### ReAct vs. Custom StateGraph
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- **When to use LangGraph's [ReAct primitive](https://langchain-ai.github.io/langgraph/agents/overview/) vs. a custom StateGrap?**
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- see [react_vs_custom.md](react_vs_custom.md) for a detailed comparison
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### Tool Architecture Decisions
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- **When to use LangChain [prebuilt tools and custom tools](https://langchain-ai.github.io/langgraph/agents/tools/#prebuilt-tools) vs. [MCP (Model Context Protocol) integrations](https://langchain-ai.github.io/langgraph/agents/mcp/)?**
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