wip

Author: mike dupont

.github/workflows/Readme.md

@@ -0,0 +1,11 @@
+# Secrets used
+- OPENAI_API_KEY
+- TURBO_TOKEN
+- TURBO_TEAM
+- NODE_AUTH_TOKEN
+
+# fixme: why 4 different gihthub tokens?
+- GH_PAT 
+- GITHUB_ACCESS_TOKEN
+- GITHUB_TOKEN
+- CHANGELOG_GITHUB_TOKEN 

delete.sh

@@ -0,0 +1,19 @@
+#!/bin/bash 
+set -e
+# Delete all images in a repository
+# Usage: ./delete.sh <repository-name>
+# Example: ./delete.sh agent/eliza
+# Note: This script will not delete the repository itself, only the images in it
+
+
+if [ -z "$1" ]; then
+    echo "Error: Repository name is required."
+    echo "Usage: ./delete.sh <repository-name>"
+    exit 1
+fi
+
+echo "Deleting all images in repository: $1"
+aws ecr batch-delete-image  \
+    --repository-name "$1" \
+    --image-ids "$(aws ecr list-images  --repository-name "$1" --query 'imageIds[*]' --output json)" || true
+echo "Deletion process completed."

packages/plugin-bootstrap/fileGroups.json

@@ -0,0 +1 @@
+[]

scripts/jsdoc-automation/src/AIService/AIService.ts

@@ -2,15 +2,25 @@ import dotenv from "dotenv";
 const de = dotenv.config();
 console.log("DEBUG",de)
 
+const logFetch = async (url: string, options: any) => {
+    console.debug(`Fetching ${url}`);
+    // Disabled to avoid disclosure of sensitive information such as API keys
+    // elizaLogger.debug(JSON.stringify(options, null, 2));
+    return fetch(url, options);
+};
+
+import { bootstrapPlugin } from "@elizaos/plugin-bootstrap";
+
 if (de.error) {
     throw de.error;
 }
 
 import { defaultCharacter } from "../defaultCharacter.js";
 import {
 
-    // type Adapter,
+
     AgentRuntime,
+    
     // CacheManager,
     // CacheStore,
     composeContext,
@@ -38,6 +48,7 @@ import {
     // settings,
     stringToUuid,
     getEmbeddingZeroVector,
+    composeActionExamples,
     // validateCharacterConfig,
 } from "@elizaos/core";
 //import { defaultCharacter } from "./defaultCharacter.ts";
@@ -166,6 +177,7 @@ export class AIService {
     private chatModelFAQ: ChatWrapper;// <ChatOpenAICallOptions>
     //runtime: AgentRuntime;
     private agents: Map<string, IAgentRuntime>; // container management
+    runtime: AgentRuntime;
 
     /**
      * Constructor for initializing the ChatOpenAI instance.
@@ -202,7 +214,18 @@ export class AIService {
         this.codeFormatter = new CodeFormatter();
 
         this.agents = new Map();
-    //     this.runtime = {
+        const token = "token";
+        const character = defaultCharacter;
+        this.runtime = new AgentRuntime({token,
+            modelProvider: character.modelProvider,
+            evaluators: [],
+            character,
+            // character.plugins are handled when clients are added
+            plugins: [bootstrapPlugin].flat().filter(Boolean),
+            providers: [],
+            managers: [],
+            fetch: logFetch,})
+        //{
     //         agentId: "00000000-0000-0000-0000-000000000000",
     //         serverUrl: "http://localhost",
     //         databaseAdapter: {} as IDatabaseAdapter,
@@ -294,55 +317,7 @@ export class AIService {
             this.handleAPIError(error as Error);
             return "";
         }
-        return "";
-        // try {            
-        //     try {
-        //         let response;
-        //         if (isFAQ) {
-        //             response = await this.chatModelFAQ.invoke(finalPrompt);
-        //         } else {
-        //             response = await this.chatModel.invoke(finalPrompt);
-        //         }
-        //         return response.content as string;
-        //     } catch (error) {
-        //         if (
-        //             error instanceof Error &&
-        //             error.message.includes("maximum context length")
-        //         ) {
-        //             console.warn(
-        //                 "Token limit exceeded, attempting with further truncation..."
-        //             );
-        //             // Try with more aggressive truncation
-        //             finalPrompt = this.codeFormatter.truncateCodeBlock(prompt, 4000);
-        //             try {
-        //                 const response =
-        //                     await this.chatModel.invoke(finalPrompt);
-        //                 return response.content as string;
-        //             } catch (retryError) {
-        //                 if (
-        //                     retryError instanceof Error &&
-        //                     retryError.message.includes(
-        //                         "maximum context length"
-        //                     )
-        //                 ) {
-        //                     console.warn(
-        //                         "Still exceeding token limit, using minimal context..."
-        //                     );
-        //                     // Final attempt with minimal context
-        //                     finalPrompt = this.codeFormatter.truncateCodeBlock(prompt, 2000);
-        //                     const response =
-        //                         await this.chatModel.invoke(finalPrompt);
-        //                     return response.content as string;
-        //                 }
-        //                 throw retryError;
-        //             }
-        //         }
-        //         throw error;
-        //     }
-        // } catch (error) {
-        //     this.handleAPIError(error as Error);
-        //     return "";
-        // }
+        return "";       
     }
 
     /**
@@ -357,16 +332,9 @@ export class AIService {
         throw error;
     }
 }
-//function processChunk(finalPrompt: string, arg1: string, runtime: any) {
-    //throw new Error("Function not implemented.");
-//}
-
-
-
-
-//import getTokenForProvider from "../index.ts"
 
 async function processChunk(prompt: string, manager: string, runtime: IAgentRuntime): Promise<string> {
+    console.log("process chunk");
     try {
         const mm = runtime.getMemoryManager(manager);
         if (!mm) {