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Develop OpenAI o4-mini Classification and Extraction

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Linked challenge: Automate FOIA Request Processing

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Linked challenge

Automate FOIA Request Processing

Prompt source

Original prompt text with formatting preserved for inspection.

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Within your AI SDK API route, use OpenAI o4-mini to classify the parsed FOIA request text into 'Legitimate', 'Spam', or 'Ambiguous'. Additionally, for 'Legitimate' requests, extract key entities such as `requesting_party`, `subject_matter`, and `date_range`. Design a Zod or TypeScript interface for the structured output from the OpenAI call. Provide the prompt engineering and function call definition for `o4-mini`.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

Tune next

Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.

Prompt diagnostics

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implementation

This prompt already mixes executable detail with instructions, so tune examples and interfaces before rewriting the scaffold.

Linked challenge

Automate FOIA Request Processing

This challenge requires designing and implementing an intelligent automation system to efficiently process and filter high volumes of incoming Freedom of Information Act (FOIA) requests. Leveraging Vercel's AI SDK, participants will build a responsive web interface for request submission and monitoring. OpenAI o4-mini will serve as the core AI engine for document classification, summarization, and anomaly detection to identify spam or 'robo-requests'. Key aspects include integrating Unstructured.io for robust document parsing, orchestrating the multi-step workflow with Lindy for compliance and auditing, and setting up Langsmith for comprehensive observability of AI agent decisions and human review queues. The solution aims to streamline administrative tasks, reduce human workload, and ensure that legitimate FOIA requests are processed accurately and efficiently.

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Related prompts

Browse library

Initialize AI SDK for Request Input Interface

planning

Implement Document Parsing with Unstructured.io

implementation

Orchestrate Workflow with Lindy and Langsmith Observability

implementation