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Multi Agent Pipelines

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In the early days of applied AI, the pattern was simple: one model, one query, one response. As models have become cheaper, faster, and more specialized, a new architecture has emerged: multi-agent systems where multiple AI agents collaborate to solve complex problems. A multi-agent pipeline is not just multiple sequential API calls. It is a deliberate architecture where agents have defined roles, communication protocols, and orchestration patterns. When designed correctly, multi-agent systems achieve results that no single model can match—at costs that are often lower than monolithic approaches.
Level: advancedLanguage: EN EnglishRating: 0Reviews: 0
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01Orchestrating Multi-Agent Pipelines02Chapter 1: Single Agent vs. Multi-Agent Architecture03Chapter 2: Designing Agent Roles and Responsibilities04Chapter 3: Communication Protocols Between Agents05Chapter 4: Workflow Orchestration Patterns06Chapter 5: Error Handling and Recovery in Agent Networks07Chapter 6: Monitoring and Observability for Agent Systems08Chapter 7: Scaling Multi-Agent Pipelines
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