feat: persona templates and updates to options for and use of prompt …

…formatting

package.json

@@ -1,6 +1,6 @@
 {
   "name": "@libertai/libertai-js",
-  "version": "0.0.3",
+  "version": "0.0.4",
   "description": "In-browser SDK for interacting with LibertAI Decentralized AI Network",
   "keywords": [],
   "type": "module",

src/inference.ts

@@ -24,12 +24,14 @@ export class LlamaCppApiEngine {
    * @param {Message[]} messages - The sequence of messages to generate an answer for
    * @param {Model} model - The model to use for inference
    * @param {Persona} persona - The persona to use for inference
+   * @param {string} targetUser - The user to generate the answer for, if different from Message[-1].role
    * @param {boolean} debug - Whether to print debug information
    */
   async *generateAnswer(
     messages: Message[],
     model: Model,
     persona: Persona,
+    targetUser: string | null = null,
     debug: boolean = false
   ): AsyncGenerator<{ content: string; stopped: boolean }> {
     const maxTries = model.maxTries;
@@ -39,7 +41,7 @@ export class LlamaCppApiEngine {
     );
 
     // Prepare the prompt
-    const prompt = this.preparePrompt(messages, model, persona);
+    const prompt = this.preparePrompt(messages, model, persona, targetUser);
 
     if (debug) {
       console.log(
@@ -137,34 +139,50 @@ export class LlamaCppApiEngine {
   private preparePrompt(
     messages: Message[],
     model: Model,
-    persona: Persona
+    persona: Persona,
+    // Allow caller to specify a target user, if different from Message[-1].role
+    targetUser: string | null = null
   ): string {
     let usedTokens = 0;
     const maxTokens = model.maxTokens;
     const promptFormat = model.promptFormat;
 
+    // Get the target user
+    if (targetUser === null) {
+      targetUser = messages[messages.length - 1].role;
+    }
+
+    // Set {{char}} based on persona.name
+    // Set {{user}} based on targetUser
+    // Set {{model}} based on model.name
+    let description = persona.description;
+    description = description.replace(/\{\{char\}\}/g, persona.name);
+    description = description.replace(/\{\{user\}\}/g, targetUser);
+    description = description.replace(/\{\{model\}\}/g, model.name);
+
     // Prepare our system prompt
     let systemPrompt = '';
-    systemPrompt += `${promptFormat.userPrepend}system${promptFormat.lineSeparator}`;
-    systemPrompt += `You are ${persona.name}${promptFormat.lineSeparator}`;
-    systemPrompt += `${persona.description}${promptFormat.lineSeparator}`;
-    systemPrompt += `${promptFormat.stopSequence}${promptFormat.lineSeparator}`;
+    systemPrompt += `${promptFormat.userPrepend}system${promptFormat.userAppend}`;
+    systemPrompt += `${description}`;
+    systemPrompt += `${promptFormat.stopSequence}${promptFormat.logStart}`;
+    systemPrompt += `${promptFormat.lineSeparator}`;
 
     // Determine how many tokens we have left
     usedTokens = calculateTokenLength(systemPrompt);
 
     // Iterate over messagse in reverse order
     // to generate the chat log
-    let chatLog = `${promptFormat.userPrepend}${persona.name.toLowerCase()}${promptFormat.lineSeparator}`;
+    let chatLog = `${promptFormat.userPrepend}${persona.name.toLowerCase()}${promptFormat.userAppend}`;
     for (let i = messages.length - 1; i >= 0; i--) {
       const message = messages[i];
       const timestamp_string = message.timestamp
         ? ` (at ${message.timestamp.toString()})`
         : '';
       let messageLog = '';
-      messageLog += `${promptFormat.userPrepend}${message.role.toLowerCase()}${timestamp_string}${promptFormat.lineSeparator}`;
-      messageLog += `${message.content}${promptFormat.lineSeparator}`;
-      messageLog += `${promptFormat.stopSequence}${promptFormat.lineSeparator}`;
+      messageLog += `${promptFormat.userPrepend}${message.role.toLowerCase()}${timestamp_string}${promptFormat.userAppend}`;
+      messageLog += `${message.content}`;
+      messageLog += `${promptFormat.stopSequence}`;
+      messageLog += `${promptFormat.lineSeparator}`;
 
       const messageTokens = calculateTokenLength(messageLog);
       if (usedTokens + messageTokens <= maxTokens) {

src/types.ts

@@ -50,7 +50,8 @@ export interface PromptFormat {
   userAppend: string;
   // Character to separate messages
   lineSeparator: string;
-
+  // Token to denote the start of any additional logs
+  logStart: string;
   // Default stop sequence for the model. This will be used to
   //  generate prompts for the model
   stopSequence: string;