How to host an AI Hackathon without losing control of your keys or budget

Running an AI hackathon requires careful management of resources, particularly when providing multiple teams with access to expensive Large Language Model (LLM) APIs, to ensure cost control, fair usage, and accountability. Portkey offers a solution by creating isolated workspaces for each team with individual API keys and budget limits, allowing organizers to maintain control and track usage in real-time. By setting up integrations with AI providers like OpenAI, Anthropic, and others, teams can access models securely with configurable budgets and rate limits. Portkey allows for automation through APIs, which is particularly useful for managing larger hackathons efficiently. Organizers can monitor key metrics, such as total cost and error rates, to ensure smooth operation, while also being able to address common issues like budget exhaustion or the need for additional model access. This structured approach ensures a well-organized hackathon where teams have equitable access and organizers have comprehensive oversight.

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