AI & Agents
Enterprise AI Knowledge & RAG Assistant
A specialized conversational AI copilot with dynamic prompt orchestration, sliding context memory, and structured LLM tool calling.
CorePython LLM Engine
ContextStateful Session Memory
ArchitectureModular Prompt Layers
SafeguardsHallucination Control
System Overview & Architecture
A custom-engineered conversational AI assistant powered by Python and modern Large Language Model integrations. The assistant features structured context handling, persona preservation, intelligent prompt routing, and tool-augmented answer generation. Demonstrates production principles of context engineering, sliding token budgets, and LLM application development.
Technical Challenges Addressed
- •Preserving conversational persona and factual accuracy across extended multi-turn dialogue without token budget exhaustion.
Engineering Solutions & Implementation
- •Devised dynamic prompt compaction techniques and sliding context memory windows with prompt caching.
Tech Stack & Libraries
PythonOpenAI APIPrompt EngineeringContext OptimizationFastAPI
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