HTCondor Live Tools with Solution Memory

This project enhances the Archi framework by enabling real-time interaction with HTCondor job scheduling infrastructure and introducing a persistent memory system to enhance conclusions drawn on live data with previously encountered similar situations. Currently, Archi operates without access to live system state, limiting it to generic, non-actionable responses when diagnosing job failures. Additionally, solutions discovered during user interactions are not retained, leading to repeated effort and inefficient troubleshooting. To address these limitations, the project introduces a read-only HTCondor tooling layer that allows Archi to query live job data (e.g., via condor_q and condor_history) and provide precise, evidence-based diagnostics. In parallel, a "solution memory" system will be implemented to store validated fixes from past interactions in a vector storage. These solutions will be indexed, embedded, and retrieved through a hybrid search mechanism, enabling Archi to reuse proven resolutions for similar future issues. The main deliverables include: (1) a secure, read-only HTCondor integration layer with structured outputs and error handling, (2) a suite of agent tools for live job inspection and failure diagnosis, (3) a solution memory database with indexing and retrieval capabilities, and (4) full integration into the Archi agent workflow via tools, supported by comprehensive testing, benchmarking, and documentation. By combining live diagnostics with reusable knowledge, this project transforms Archi from a passive assistant into an active, context-aware agent that improves troubleshooting efficiency, reduces computational overhead, and continuously learns from past incidents.