AI agents require context management, not just LLMs with tools

An AI agent is defined not by its capabilities but by its ability to maintain conversational context, a concept explored through building a simple chatbot. The author demonstrates that basic chatbots, when using the OpenAI SDK with local models like Ollama, are stateless and do not inherently remember past interactions. This lack of memory means the application layer must manage and re-send the conversation history with each new prompt to simulate a continuous dialogue. AI

IMPACT Highlights the critical role of application-level context management for creating effective AI agents, moving beyond simple LLM calls.

RANK_REASON The item discusses the fundamental nature of AI agents and their statefulness, using code examples to illustrate concepts rather than announcing a new product or research finding.

Read on dev.to — LLM tag →

• Agentic AI from First Principles
• AsyncOpenAI
• gemma4:e2b
• LangChain
• Ollama
• OpenAI
• OpenAI SDK
• Shivansh Gautam

• product
• other

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