Small parsec-like parser combinators library with semi-automatic error recovery
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Updated
Aug 16, 2024 - Python
Small parsec-like parser combinators library with semi-automatic error recovery
Openstack application deployment with error-recovery enhancements
🤖 Ollama Consumer - A Python-based interactive chat interface for Ollama models with advanced model management, comprehensive benchmarking, vision support, and automatic error recovery. Features dynamic model switching, GPU optimization, and intelligent service monitoring for seamless AI model interactions.
Mini language lexer + recursive-descent parser with AST construction, detailed error reporting, and panic-mode error recovery (Python).
🎓 Investigation of various error recovery strategies during parsing. Their implementation in their own various parsers, demonstration of work on a variety of tests.
MCP server for structured error recovery for AI agents. Returns resolution playbooks (backoff schedules, retry strategies, recovery steps) for 20+ services. Free tier: 500 req/month.
A Framework for Robust, Self-Recovering Tool-Using Language Model Agents — trained on 50K+ failure-annotated trajectories for fault-tolerant reasoning and recovery.
A fully functional Lexical Analyzer built in Python using PLY library. Tokenizes source code into a classified token stream with symbol table tracking, error recovery system, and a dark themed GUI built with Tkinter.
An interactive LL(1) parser with panic-mode error recovery, real‑time parse tree visualization, and step‑by‑step parsing trace. Built as a Principles of Compiler Design project.
🛠️ Build a complete Mini language parser with lexical analysis, syntax checking, AST generation, and error handling for robust code parsing.
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