mirror of
https://github.com/hanzoai/papers.git
synced 2026-10-29 07:34:31 +00:00
zeekay
0d1d121451
Fix shared/ include paths to ../shared/ for 55 subdirectory papers so
that hanzocover.sty and lstlang.tex resolve when building from each
paper's own directory (the build pattern used by latexmk per paper).
Build fixes:
- hanzo-operative/sections/03-screen-understanding-pipeline.tex: move
\COMMENT from after \FOR{...} onto the \STATE line so the algorithmic
env doesn't mis-parse.
- hanzo-network-architecture (abstract + sections 04, 12, 13): escape
unicode mu (U+03BC) as $\mu$ for pdflatex.
- ntt-transform/sections/08-benchmark-results.tex: same mu escape.
All 55 Tier-2/3 papers now build clean with latexmk -pdf.
66 lines
2.9 KiB
TeX
66 lines
2.9 KiB
TeX
% Hanzo Chat: Multi-Model Conversational AI
|
|
\documentclass[11pt,twocolumn]{article}
|
|
\usepackage{../shared/hanzocover}
|
|
\usepackage{amsmath, amssymb, amsthm}
|
|
\usepackage{mathtools}
|
|
\usepackage{bm}
|
|
\usepackage{graphicx}
|
|
\usepackage{booktabs}
|
|
\usepackage{hyperref}
|
|
\usepackage{enumitem}
|
|
\usepackage{algorithm}
|
|
\usepackage{algpseudocode}
|
|
\usepackage{xcolor}
|
|
\usepackage{float}
|
|
\usepackage{subcaption}
|
|
\usepackage{multirow}
|
|
\usepackage{listings}
|
|
\input{../shared/lstlang}
|
|
\usepackage[numbers]{natbib}
|
|
\hypersetup{colorlinks=true,linkcolor=black,citecolor=blue,urlcolor=blue}
|
|
|
|
\newtheorem{theorem}{Theorem}
|
|
\newtheorem{lemma}[theorem]{Lemma}
|
|
\newtheorem{definition}{Definition}
|
|
\newtheorem{proposition}[theorem]{Proposition}
|
|
|
|
\lstset{
|
|
basicstyle=\ttfamily\small,
|
|
breaklines=true,
|
|
frame=single,
|
|
numbers=left,
|
|
numberstyle=\tiny,
|
|
xleftmargin=2em,
|
|
}
|
|
|
|
\title{Hanzo Chat: Multi-Model Conversational AI with Tool Integration and Memory}
|
|
\author{
|
|
David Wei \quad
|
|
Marcus Chen \quad
|
|
Zach Kelling \\
|
|
\textit{Hanzo AI Research} \\
|
|
\texttt{[email protected]}
|
|
}
|
|
\date{March 2025}
|
|
|
|
\begin{document}
|
|
|
|
\hanzocoverpage
|
|
|
|
\begin{abstract}
|
|
We present \textbf{Hanzo Chat}, a multi-model conversational AI system that enables users to interact with over 100 language models through a unified interface with persistent memory, tool integration, and adaptive model selection. Unlike single-model chat applications, Hanzo Chat introduces three key innovations: (i) a \emph{model routing layer} that dynamically selects optimal models based on query characteristics, cost constraints, and historical performance, achieving 23\% higher user satisfaction than fixed-model baselines; (ii) a \emph{hierarchical memory architecture} combining session, project, and global memory stores with retrieval-augmented context injection, supporting conversations spanning weeks without context window limitations; and (iii) a \emph{Model Context Protocol (MCP)} integration layer providing access to 260+ tools including code execution, web search, file manipulation, and API interaction. We evaluate Hanzo Chat on a suite of conversational benchmarks including MT-Bench, ChatBot Arena, and a novel multi-turn tool-use benchmark (MTTU-100), demonstrating that multi-model routing with memory achieves state-of-the-art performance while reducing inference cost by 41\% compared to always using the most capable model. We report results from 18 months of production deployment serving over 500,000 conversations, including analysis of model selection patterns, memory utilization, and tool usage statistics.
|
|
\end{abstract}
|
|
|
|
\input{sections/01-introduction}
|
|
\input{sections/02-system-architecture}
|
|
\input{sections/03-multi-model-routing}
|
|
\input{sections/04-hierarchical-memory-architecture}
|
|
\input{sections/05-tool-integration-via-mcp}
|
|
\input{sections/06-evaluation}
|
|
\input{sections/07-production-deployment}
|
|
\input{sections/08-related-work}
|
|
\input{sections/09-discussion}
|
|
\input{sections/99-conclusion}
|
|
|
|
\end{document}
|