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Implement Hybrid Reasoning with Gemini 2.5 Pro (Deep Think)

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Linked challenge: Global AI Chip Supply Chain Resilience

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Linked challenge

Global AI Chip Supply Chain Resilience

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For your 'RiskAnalyst' agent, implement a hybrid reasoning approach. Use Gemini 2.5 Pro's standard mode for 'instant' analysis of incoming news feeds (RAG-powered). When a critical event is detected, trigger 'Deep Think' mode to perform a thorough, multi-step analysis of the potential cascading effects on the supply chain. Show how the prompt structure guides Deep Think.

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This prompt is mostly narrative and instruction-driven, so adapt examples and output constraints before you rewrite the structure.

Linked challenge

Global AI Chip Supply Chain Resilience

Address the critical challenge of maintaining a resilient global AI chip supply chain. This challenge involves building a multi-agent system that simulates key nodes in a supply chain, monitors geopolitical and market events, and dynamically proposes strategies to mitigate disruptions. The system will utilize Gemini 2.5 Pro, particularly its 'Deep Think' mode, for advanced analytical reasoning and scenario planning to predict potential bottlenecks and identify alternative sourcing. AutoGen will be employed to orchestrate a decentralized network of 'Supply Chain Node' agents (e.g., Manufacturer Agent, Logistics Agent, Procurement Agent), each responsible for a part of the simulated supply chain. These agents will use hybrid reasoning (instant assessment of news, deep analysis of impact) and integrate with simulated ERP and logistics APIs to track inventory, production, and shipments, adapting their plans in response to real-time RAG-fed geopolitical and economic data.

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