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Linked challenge: Orchestrating Critical Mineral Supply Chain Resilience

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Linked challenge

Orchestrating Critical Mineral Supply Chain Resilience

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Define a 'Supply Chain Auditor' agent using CrewAI. The agent should use Grok-2 as its LLM. Its goal is to analyze the 'Codelco-SQM lithium deal' news and identify potential regulatory hurdles based on the recent audit announcement. Provide the Python code for the agent initialization.

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Linked challenge

Orchestrating Critical Mineral Supply Chain Resilience

As global trade accounts for over 60% of critical mineral demand, supply chain managers face unprecedented volatility from regulatory shifts like Chile's Codelco-SQM deal and the US NEPA overhaul. This challenge requires building an autonomous multi-agent system designed to monitor, analyze, and mitigate supply chain risks. You will leverage the Grok-2 model for reasoning and the CrewAI framework to orchestrate specialized agents focusing on geopolitical risk, regulatory compliance, and market logistics. Participants will implement a Retrieval-Augmented Generation (RAG) architecture using Pinecone to store and query real-time commodity data and policy updates. The system must process disparate data sources—ranging from mining project capital intensity reports to environmental impact legislative changes—to produce actionable risk mitigation strategies. The final output will be a resilient supply chain dashboard that predicts potential bottlenecks in battery metal procurement.

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