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Linked challenge: Multi-Agent BESS Merchant Exposure & Arbitrage Optimizer with OpenAI Agents SDK

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Linked challenge

Multi-Agent BESS Merchant Exposure & Arbitrage Optimizer with OpenAI Agents SDK

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Initialize an OpenAI Agent system with two primary agents: 'ArbitrageTrader' and 'RiskManager'. Define the tools for price fetching and battery status updates. Use the OpenAI Agents SDK pattern for tool definitions.

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Linked challenge

Multi-Agent BESS Merchant Exposure & Arbitrage Optimizer with OpenAI Agents SDK

In response to the increasing acceptance of merchant exposure in the UK and European energy markets, this challenge requires building an autonomous multi-agent system to manage Battery Energy Storage Systems (BESS). Using the OpenAI Agents SDK, you will develop a 'Trading Agent' that optimizes arbitrage across Day-Ahead and Intraday markets and a 'Risk Management Agent' that monitors battery health and volatility. This system must handle the complexities of merchant risk—where revenues are no longer guaranteed by subsidies but driven by market spreads. To ensure the reliability of these autonomous agents in high-stakes energy trading, you will integrate Test.ai to automate the testing of agentic behaviors under extreme market scenarios (e.g., negative pricing or unexpected outages). The final solution will demonstrate a robust framework for maximizing revenue while adhering to physical battery constraints and degradation limits, mimicking real-world operations by firms like ContourGlobal or Iberdrola.

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