active_firebase.yaml

// path: functions/src/index.ts
import { genkit, z } from 'genkit';
import { vertexAI, gemini20Flash } from '@genkit-ai/vertexai';
import { onCallGenkit } from 'firebase-functions/https';

const ai = genkit({
  plugins: [vertexAI({ location: 'us-central1' })],
});

// An "Active" flow that prioritizes tasks (Kaizen-style)
export const prioritizeTask = onCallGenkit(
  ai.defineFlow(
    {
      name: 'prioritizeTask',
      inputSchema: z.string(),
      outputSchema: z.object({
        priority: z.enum(['Urgent', 'High', 'Medium', 'Low']),
        reasoning: z.string(),
        eta: z.string(),
      }),
    },
    async (taskDescription) => {
      const response = await ai.generate({
        model: gemini20Flash,
        prompt: `Act as a Kaizen Project Manager. Analyze this task: ${taskDescription}`,
      });
      return response.output();
    }
  )
);



// path: src/firebase-ai.js
import { initializeApp } from "firebase/app";
import { getVertexAI, getGenerativeModel } from "firebase/vertexai";

const firebaseConfig = { /* Your Config */ };
const app = initializeApp(firebaseConfig);

// Initialize Vertex AI with a focus on accuracy and speed
const vertexAI = getVertexAI(app);
const model = getGenerativeModel(vertexAI, { 
  model: "gemini-2.0-flash", // High-accuracy, low-latency
});

/**
 * Active AI stream for 3D/HD Dashboard HUD
 */
export async function streamHUDUpdate(prompt) {
  const result = await model.generateContentStream(prompt);
  
  for await (const chunk of result.stream) {
    const chunkText = chunk.text();
    // Update your HUD UI components here in real-time
    console.log("HUD Update:", chunkText);
  }
}



// path: functions/src/index.ts
import { genkit, z } from 'genkit';
import { vertexAI, gemini20Flash } from '@genkit-ai/vertexai';
import { onCallGenkit } from 'firebase-functions/https';
import { firestore } from 'firebase-admin';

const ai = genkit({
  plugins: [vertexAI({ location: 'us-central1' })],
});

/**
 * TOOL: High-speed Kaizen Data Fetcher
 * Allows the AI to query your Firestore for active project states.
 */
const getProjectState = ai.defineTool(
  {
    name: 'getProjectState',
    description: 'Retrieves current Kaizen metrics and HD media status from Firestore',
    inputSchema: z.object({ projectId: z.string() }),
    outputSchema: z.string(),
  },
  async ({ projectId }) => {
    const doc = await firestore().collection('projects').doc(projectId).get();
    return JSON.stringify(doc.data() || { status: 'Not Found' });
  }
);

/**
 * FLOW: The Active AI Agent
 * Orchestrates tools and streams updates to your HUD.
 */
export const activeAgentFlow = onCallGenkit(
  ai.defineFlow(
    {
      name: 'activeAgent',
      inputSchema: z.object({ query: z.string(), projectId: z.string() }),
      outputSchema: z.string(),
      streamSchema: z.string(),
    },
    async ({ query, projectId }, { sendChunk }) => {
      const response = await ai.generate({
        model: gemini20Flash, // Superfast performance
        system: "You are a 7-Archangel-class AI Assistant. Use tools to manage tasks efficiently.",
        prompt: query,
        tools: [getProjectState], // The AI can now call this function autonomously
        onChunk: (chunk) => sendChunk(chunk.text),
      });
      return response.text;
    }
  )
);



// path: src/hud-controller.js
import { getFunctions, httpsCallable } from "firebase/functions";

const functions = getFunctions();
const activeAgent = httpsCallable(functions, "activeAgent");

/**
 * Renders AI output to your 3D HUD in real-time.
 */
export async function runActiveHUDTask(userQuery) {
  const hudElement = document.getElementById("hud-output-stream");
  
  // Streaming execution
  const { stream, data } = await activeAgent.stream({
    query: userQuery,
    projectId: "kaizen-alpha-1"
  });

  for await (const chunk of stream) {
    // HUD logic: inject into a GL/Three.js texture or high-contrast DOM
    hudElement.innerHTML += `<div class="hud-glitch-text">${chunk}</div>`;
    console.log("HUD Update Received:", chunk);
  }

  const finalResult = await data;
  console.log("Task Completed Execution:", finalResult);
}