𝗥𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝘁 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀: 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗖𝗼𝗺𝗽𝗮𝗿𝗶𝘀𝗼𝗻

Building AI agents for production requires a focus on resilience. Demos work in controlled settings. Production environments face network issues and unpredictable users.

You must choose the right architecture to prevent system failure.

𝗦𝘁𝗮𝘁𝗲𝗹𝗲𝘀𝘀 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 Each request is independent. No context stays between calls. • Pros: Easy to scale and low memory use. • Cons: High latency if you fetch context from databases. • Use for: Simple Q&A or classification tasks.

𝗦𝘁𝗮𝘁𝗲𝗳𝘂𝗹 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 Agents keep context over time. • Pros: Natural conversations and better reasoning. • Cons: Harder to scale and requires complex recovery. • Use for: Personalized assistants and multi-step workflows.

𝗦𝘆𝗻𝗰𝗵𝗿𝗼𝗻𝗼𝘂𝘀 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 The agent waits for one task to finish before starting the next. • Pros: Predictable and easy to debug. • Cons: Slow performance and wasted resources. • Use for: Simple tasks requiring strict order.

𝗔𝘀𝘆𝗻𝗰𝗵𝗿𝗼𝗻𝗼𝘂𝘀 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 The agent starts a task and moves to the next one immediately. • Pros: High throughput and better resource use. • Cons: Complex error handling and debugging. • Use for: I/O heavy systems and multiple external services.

𝗠𝗼𝗻𝗼𝗹𝗶𝘁𝗵𝗶𝗰 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 All capabilities live in one unit. • Pros: Simple deployment and low overhead. • Cons: Hard to scale specific parts and one failure stops everything. • Use for: Small teams and rapid prototyping.

𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 Capabilities are split into separate services. • Pros: Independent scaling and isolated failures. • Cons: Network latency and high operational complexity. • Use for: Large scale systems and specialized teams.

𝗖𝗹𝗼𝘂𝗱 𝘃𝘀. 𝗢𝗻-𝗣𝗿𝗲𝗺𝗶𝘀𝗲𝘀 • Cloud: Offers auto-scaling and global reach. It carries risks of vendor lock-in. • On-Premises: Offers full control and data privacy. It requires manual scaling.

𝗖𝗵𝗼𝗼𝘀𝗲 𝘆𝗼𝘂𝗿 𝗽𝗮𝘁𝗵:

Start simple. Add complexity only when you face real bottlenecks.

Source : https://dev.to/dorjamie/resilient-ai-agents-comparing-architectural-approaches-for-production-1en6

Communauté d'apprentissage optionnelle : https://t.me/GyaanSetuAi