Unverified50% confidenceFactExact time
The architecture of strong-model orchestration combined with weak-model execution is commonly referred to as the LLM-as-Orchestrator or Multi-Agent architecture, decomposing complex tasks into two layers: planning and execution
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9/30/2026
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Unverified多智能体系统（Multi-Agent Systems）核心思想是将复杂任务分解为可并行执行的子任务，突破单一LLM的上下文窗口限制75% similarUnverifiedThe Planning-Execution layered architecture can use a powerful model for planning and a fast model for task execution, striking a balance between performance and cost, as reflected in OpenAI's Swarm framework and Anthropic's agent architecture guidelines.73% similarVerifiedAn Agent is an application-layer architecture built on top of an LLM that enables the model to decompose complex tasks, invoke external tools, maintain context state, and iteratively optimize results by introducing mechanisms such as Planning, Memory, Tool Use, and Reflection.72% similarVerifiedThe 'model routing' approach of using multiple models in parallel and dynamically selecting the most suitable model based on task type is a mature practice in enterprise-level AI engineering72% similarVerifiedThe Multi-Agent architecture draws on microservices thinking, with an Orchestrator responsible for task distribution and result aggregation, enabling parallel execution to reduce latency and precise retry of individual sub-Agents.72% similar
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