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name: Test
description: A test ai agent
version: 0.1.0
instructions: You are a test ai agent to ...
variables:
- name: name
description: your name
default: alice
conversation_starters:
- What can you do?
documents:
- files/doc.pdf
CLI
--agent <name> Start a agent
--list-agents List all agents
Chat-REPL
.agent <name> Enter agent Mode
.starter <text>... Use the converstaion starter
.info agent View the agent Info
.exit agent Exit agent Mode
I think it would be great to have some sort of memory implementation for RAG on top of the knowledge ingestion.
I would imlement memory as a simple key,value with tag system.
knowledge.yaml
documents: (RAG ingestion)
- path (dir or file)
- ...memory:
location:
value: (description of some location) tags: birthplace,origincharacter:
value: Foo is (detailed character description ...)tags: main_characterbackstory:
file: (path to file for ingestion)tags: ...
The CLI version of OpenAI's GPTs (agents)
Isn't combining roles and function calls the essence of GPTs?
Why GPTs/Agents
Related functions are grouped together, making them suitable for specific tasks and easy to share.
File Structure
Agent definition
CLI
Chat-REPL
agent config
Everyone is welcome to discuss what's missing and its value.
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