NeonAI Core LLM

Core module for Neon LLM's

Request Format

API requests should include history, a list of tuples of strings, and the current query

Example Request:

{
 "history": [["user", "hello"], ["llm", "hi"]],
 "query": "how are you?"
}

Response Format

Responses will be returned as dictionaries. Responses should contain the following:

• response - String LLM response to the query

Connection Configuration

When running this as a docker container, the XDG_CONFIG_HOME envvar is set to /config. A configuration file at /config/neon/diana.yaml is required and should look like:

MQ:
  port: <MQ Port>
  server: <MQ Hostname or IP>
  users:
    <LLM MQ service_name>:
      user: <MQ user>
      password: <MQ user's password>
  LLM_<LLM NAME uppercase>:
    num_parallel_processes: <integer > 0>

Enabling Chatbot personas

An LLM may be configured to connect to a /chatbots vhost and participate in discussions as described in the chatbots project. One LLM may define multiple personas to participate as:

llm_bots:
  <LLM Name>:
    - name: Assistant
      description: You are a personal assistant who responds in 40 words or less
    - name: Author
      description: You are an author and expert in literary history
    - name: Student
      description: You are a graduate student working in the field of artificial intelligence
      enabled: False

LLM Name is defined in the property NeonLLMMQConnector.name