implementation

Agent Orchestration with Mastra

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Linked challenge: Build a Mineral Supply Chain Risk Agent

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Linked challenge

Build a Mineral Supply Chain Risk Agent

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Initialize a Mastra AI agent in TypeScript. Define a 'RiskAssessmentAgent' that uses a 'CopperPriceTool' and a 'GeopoliticalNewsTool'. Ensure you use @mastra/core for agent definition and set up a workflow that triggers a risk score update when news from 'Mining.com' indicates a policy change.

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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

Build a Mineral Supply Chain Risk Agent

The US government is implementing a new strategy in Latin America to secure critical minerals like copper and rare earths, as evidenced by the $1.6B deal for USA Rare Earth and Ivanhoe's Chilean exploration. In this challenge, you will build an autonomous Supply Chain Intelligence Agent using the Mastra AI framework. The agent must orchestrate a RAG-based workflow that monitors mining news, identifies geopolitical risks in specific jurisdictions (e.g., Chile, Venezuela), and calculates a 'Supply Security Score' for specific commodities. You will integrate Arize AI to provide observability into the agent's decision-making process. Mastra AI's built-in memory will be used to track the evolution of mining M&A trends (like Zijin's $4B Allied Gold acquisition), while Arize AI will monitor for hallucinations or drift in the risk scoring logic. The final system should provide actionable alerts for supply chain managers when policy shifts or price surges (like Gold's recent warning signal) indicate impending volatility.

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