Core API

info

Note that these docs describe the code from importing the "socialagi/next" export which contains the new style of code based heavily on OpenAI function calling.

import { CortexStep } from "socialagi/next"

The CortexStep class is a critical component of the SocialAGI library, designed to provide a structured way to model the cognitive process of an AI during a conversational interaction. This is particularly focused on simulating an AI's internal monologue or thought process, capturing how an AI interprets input, makes decisions, and crafts responses.

The class adheres to the principles of functional programming. Each method in CortexStep generates a new instance, preserving immutability and enabling a more predictable behavior.

Key Concepts and Methods

1. CortexStep Initialization

   To initialize CortexStep, you provide an entityName. This refers to the AI's identity.

   let step = new CortexStep("Assistant");

2. Building Memory with withMemory()

   Memories are built using ChatMessage objects, each representing a discrete cognitive event or "step". withMemory() adds a memory to the AI's existing set.

   step = step.withMemory([{ role: "user", content: "Hello, Assistant!" }]);

3. Next Cognitive Step with next()

   The next() method guides the AI to the subsequent cognitive step. This method requires a cognitive function. The library offers built in cognitive functions, or you can build your own.

   step = await step.next(internalMonologue("thinks, understanding the user's message"));

Predefined Actions

While CortexStep allows for the creation of custom actions, it comes with several predefined cognitive functions:

1. internalMonologue: Simulates the AI's internal thought process.

   step = await step.next(internalMonologue("Contemplate the users message"));

2. externalDialog: Creates an external dialogue or output from the AI.

   step = await step.next(externalDialog("Give the user a greeting message"));

3. decision: Guides the AI through a decision-making process.

   step = await step.next(decision(`Choose the next topic`, ["Weather", "News", "Sports"]));

4. brainstorm: Facilitates brainstorming of potential actions for the AI.

   let spec = {
     actionsForIdea: "Next conversation topics",
   };
   step = await step.next(brainstorm("Brainstorm the next conversation topics"));

Generated output

value retrieves the value generated from the last action.

let lastValue = step.value;