Skip to content

Latest commit

 

History

History
48 lines (31 loc) · 1.5 KB

README.md

File metadata and controls

48 lines (31 loc) · 1.5 KB
Raw

Micro Slack Assistant

This is a placeholder, further documentation will be more detailed.

Getting Started

See .env.example and project/api to get an overview of what this service does. Currently available tools are mostly implemented according to LangChain examples

Goals

  • As a Developer, I'd like to be able to deploy a Slack assistant that can be installed in any workspace

  • As a User, I'd like to message the bot directly or mention it on a channel, and have an answer to my query

  • As a User, I'd like my bot to have access to web search and internal documentation, and use these resources to answer when appropriate

TODOs

Most important first:

Security

  • Proper handling of Slack security (verification token, webhook url challenge)
  • Implement Token Auth for management endpoints

Deployment

  • Allow dynamic setting of tool docstrings (override source defaults)
  • Check viability of deploying SQLite or change vector store
  • Deploy on Docker with GitHub Actions

Readability

  • Check LangChain usage for anti-patterns and refactoring opportunities
  • Proper project documentation

Performance

  • Metrics on used tokens, test lighter models for a few tasks, general cost reduction
  • Viability of LLM inference caching by query semantics

Possible Features

  • Message history and expanded context for answers
  • Multiple Retrievers (Library docs, community references, RSS Feeds)
  • Slash commands (/tldr, /remindme, /research)