chatthy

chatthy

An asynchronous terminal server/multiple-client setup for conducting and managing chats with LLMs.

This is the successor project to llama-farm

The RAG/agent functionality should be split out into an API layer.

network architecture

• client/server RPC-type architecture
• message signing
• ensure stream chunk ordering

chat management

• basic chat persistence and management
• set, switch to saved system prompts (personalities)
• manage prompts like chats (as files)
• chat truncation to token length
• rename chat
• profiles (profile x personalities -> sets of chats)
• import/export chat to client-side file
• remove text between tags when saving

context workspace

• context workspace (load/drop files)
• client inject from file
• client inject from other sources, e.g. youtube (trag)
• templates for standard instruction requests (trag)
• context workspace - bench/suspend files (hidden by filename)
• local files / folders in transient workspace
• checkboxes for delete / show / hide

client interface

• can switch between Anthropic, OpenAI, tabbyAPI providers and models
• streaming
• syntax highlighting
• decent REPL
• REPL command mode
• cut/copy from output
• client-side prompt editing
• vimish keys in output
• client-side chat/message editing (how? temporarily set the input field history? Fire up $EDITOR in client?) - edit via chat local import/export
• latex rendering (this is tricky in the context of prompt-toolkit, but see flatlatex).
• generation cancellation
• tkinter UI

multimodal

• design with multimodal models in mind
• image sending and use
• image display

miscellaneous / extensions

• use proper config dir (group?)
• dump default conf if missing

tool / agentic use

Use agents at the API level, which is to say, use an intelligent router. This separates the chatthy system from the RAG/LLM logic.

• (auto) tools (evolve from llama-farm -> trag)
• user defined tool plugins
• server use vdb context at LLM will (tool)
• iterative workflows (refer to llama-farm, consider smolagents)
• tool chains
• tool: workspace file write, delete
• tool: workspace file patch/diff
• tool: rag query tool
• MCP agents?
• smolagents / archgw?

RAG

• summaries and standard client instructions (trag)
• server use vdb context on request
• set RAG provider client-side (e.g. Mistral Small, Phi-4)
• consider best method of pdf conversion / ingestion (fvdb), OOB (image models?)
• full arxiv paper ingestion (fvdb) - consolidate into one latex file OOB
• vdb result reranking with context, and winnowing (agent?)
• vdb results -> workspace (agent?)

unallocated / out of scope

audio streaming ? - see matatonic's servers workflows (tree of instruction templates) tasks