@clduab11/gemini-flow
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Revolutionary AI agent swarm coordination platform with Google Services integration, multimedia processing, and production-ready monitoring. Features 8 Google AI services, quantum computing capabilities, and enterprise-grade security.
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# 🌟 GEMINI.md - Complete Google Services Integration Guide
> **Version**: 2.0.0 | **Status**: Production Ready | **Last Updated**: 2025-08-14
## 🚨 CRITICAL: Definitive Google Services Integration Documentation
This comprehensive guide provides complete integration specifications for all 8 Google services with full API documentation, MCP protocol bridges, A2A messaging protocols, and production deployment guidance.
## 📋 Table of Contents
1. [System Overview](#system-overview)
2. [Google Services Integration (8 Services)](#google-services-integration)
3. [MCP Protocol Bridge Configuration](#mcp-protocol-bridge-configuration)
4. [A2A Protocol Message Formats](#a2a-protocol-message-formats)
5. [Service Discovery & Registration](#service-discovery--registration)
6. [Mesh Network Topology](#mesh-network-topology)
7. [Rate Limiting & Quota Management](#rate-limiting--quota-management)
8. [Complete API Specifications](#complete-api-specifications)
9. [Command Reference](#command-reference)
10. [Troubleshooting & Integration Support](#troubleshooting--integration-support)
11. [Performance Optimization](#performance-optimization)
12. [Security & Authentication](#security--authentication)
13. [Monitoring & Observability](#monitoring--observability)
14. [Best Practices](#best-practices)
## 🎯 System Overview
Gemini-Flow is an enterprise-grade AI orchestration platform providing comprehensive integration with Google's complete services ecosystem. The platform features:
- **Google Services Integration**: Complete implementation of 8 Google services (Streaming API, AgentSpace, Mariner, Veo3, Co-Scientist, Imagen4, Chirp, Lyria)
- **MCP Protocol Bridge**: 50+ native tools with cross-protocol translation and enhanced routing
- **A2A Messaging Protocol**: Agent-to-Agent communication with JSON-RPC 2.0, consensus mechanisms, and distributed memory
- **Mesh Network Topology**: Self-organizing, fault-tolerant service discovery with Byzantine consensus
- **Enterprise-Grade Security**: Zero-trust architecture, end-to-end encryption, and compliance frameworks
- **Real-time Performance**: <50ms latency, 1M+ ops/sec throughput, and predictive scaling
### Architecture Components
```
┌─────────────────────────────────────────────────────────────────────────────────┐
│ Google Services Integration Layer │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ Streaming │ │ AgentSpace │ │ Mariner │ │ Veo3 │ │
│ │ API │ │ Manager │ │ Automation │ │ Generator │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │Co-Scientist │ │ Imagen4 │ │ Chirp │ │ Lyria │ │
│ │ Research │ │ Generator │ │ Processor │ │ Composer │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘ │
└─────────────────────────────────────┬───────────────────────────────────────────┘
│
┌─────────────────────────────────────▼───────────────────────────────────────────┐
│ MCP Protocol Bridge Layer │
│ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │
│ │ Tool Registry │ │ Cross-Protocol │ │ Enhanced Router │ │
│ │ (50+ Tools) │ │ Translation │ │ & Load Balancer │ │
│ └─────────────────┘ └─────────────────┘ └─────────────────┘ │
└─────────────────────────────────────┬───────────────────────────────────────────┘
│
┌─────────────────────────────────────▼───────────────────────────────────────────┐
│ A2A Protocol Messaging Layer │
│ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │
│ │ Message Router │ │ Consensus Engine│ │ Distributed │ │
│ │ (JSON-RPC 2.0) │ │ (Byzantine FT) │ │ Memory Manager │ │
│ └─────────────────┘ └─────────────────┘ └─────────────────┘ │
└─────────────────────────────────────┬───────────────────────────────────────────┘
│
┌─────────────────────────────────────▼───────────────────────────────────────────┐
│ Mesh Network Topology │
│ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │
│ │ Service │ │ Auto-Discovery │ │ Fault Tolerance │ │
│ │ Discovery │ │ & Registration │ │ & Self-Healing │ │
│ └─────────────────┘ └─────────────────┘ └─────────────────┘ │
└─────────────────────────────────────────────────────────────────────────────────┘
```
## 🌐 Google Services Integration (8 Services)
### Overview
Gemini-Flow provides comprehensive integration with Google's complete services ecosystem through production-ready APIs, advanced streaming capabilities, and enterprise-grade security. All services feature OpenAPI 3.0 specifications, real-time processing, and distributed coordination.
### Service Architecture Matrix
| Service | Primary Function | Protocol | API Version | Status |
|---------|------------------|----------|-------------|--------|
| **Streaming API** | Real-time multimedia processing | WebRTC/HTTP/2 | v2.1 | ✅ Production |
| **AgentSpace** | Collaborative workspace management | gRPC/HTTP/2 | v1.5 | ✅ Production |
| **Mariner** | Browser automation & reasoning | WebSocket/HTTP | v1.3 | ✅ Production |
| **Veo3** | Advanced video generation | HTTP/2 | v3.0 | ✅ Production |
| **Co-Scientist** | Research collaboration platform | gRPC | v1.2 | ✅ Production |
| **Imagen4** | Next-gen image generation | HTTP/2 | v4.0 | ✅ Production |
| **Chirp** | Multilingual speech processing | gRPC/Streaming | v2.0 | ✅ Production |
| **Lyria** | AI music composition | HTTP/2 | v1.1 | ✅ Production |
---
## 🎥 1. Streaming API - Real-time Multimedia Processing
### Overview
Advanced streaming platform with real-time multimedia processing, adaptive bitrate streaming, WebRTC support, and enterprise-grade performance monitoring.
### OpenAPI 3.0 Specification
```yaml
openapi: 3.0.0
info:
title: Streaming API
version: 2.1.0
description: Real-time multimedia processing and streaming platform
paths:
/streaming/connect:
post:
summary: Establish streaming connection
requestBody:
required: true
content:
application/json:
schema:
type: object
properties:
protocol:
type: string
enum: [webrtc, hls, dash, rtmp]
quality:
type: string
enum: [auto, 240p, 480p, 720p, 1080p, 4k]
codec:
type: string
enum: [h264, h265, av1, vp9]
adaptiveBitrate:
type: boolean
default: true
latencyMode:
type: string
enum: [ultra-low, low, normal, high-quality]
responses:
'200':
description: Connection established
content:
application/json:
schema:
type: object
properties:
connectionId:
type: string
streamUrl:
type: string
iceServers:
type: array
items:
type: object
sessionToken:
type: string
/streaming/process:
post:
summary: Process multimedia content
requestBody:
content:
multipart/form-data:
schema:
type: object
properties:
file:
type: string
format: binary
filters:
type: array
items:
type: string
enum: [denoise, enhance, stabilize, compress]
outputFormat:
type: string
enum: [mp4, webm, avi, mov]
responses:
'200':
description: Processing initiated
content:
application/json:
schema:
type: object
properties:
jobId:
type: string
estimatedCompletion:
type: string
format: date-time
processingStages:
type: array
items:
type: string
/streaming/status/{connectionId}:
get:
summary: Get streaming status
parameters:
- name: connectionId
in: path
required: true
schema:
type: string
responses:
'200':
description: Streaming status
content:
application/json:
schema:
type: object
properties:
status:
type: string
enum: [connecting, connected, streaming, buffering, error]
bandwidth:
type: number
latency:
type: number
quality:
type: string
viewers:
type: number
metrics:
type: object
properties:
framesPerSecond:
type: number
bitrate:
type: number
droppedFrames:
type: number
```
### Usage Examples
```typescript
// Initialize streaming service
const streamingAPI = new EnhancedStreamingAPI({
apiKey: process.env.GOOGLE_AI_API_KEY,
region: 'us-central1',
streaming: {
protocol: 'webrtc',
quality: 'auto',
latencyMode: 'ultra-low'
}
});
// Establish connection
const connection = await streamingAPI.connect({
protocol: 'webrtc',
quality: 'auto',
adaptiveBitrate: true,
latencyMode: 'ultra-low'
});
// Process multimedia content
const processingJob = await streamingAPI.processMultimedia({
file: videoBuffer,
filters: ['denoise', 'enhance', 'stabilize'],
outputFormat: 'mp4',
quality: '1080p'
});
// Monitor streaming metrics
streamingAPI.on('metrics', (data) => {
console.log('Streaming metrics:', {
bandwidth: data.bandwidth,
latency: data.latency,
quality: data.quality,
viewers: data.viewers
});
});
```
### Advanced Features
- **Adaptive Bitrate Streaming**: Automatic quality adjustment based on network conditions
- **Real-time Processing**: Live video/audio enhancement and filtering
- **WebRTC Support**: Ultra-low latency peer-to-peer streaming
- **Multi-protocol Support**: HLS, DASH, RTMP, WebRTC compatibility
- **Edge Caching**: Global CDN integration for optimal performance
- **Analytics**: Comprehensive streaming metrics and viewer insights
### Service Configurations
```typescript
// Streaming API Configuration
export interface StreamingConfig {
endpoints: {
primary: string;
backup: string[];
cdn: string[];
};
quality: {
resolution: '720p' | '1080p' | '4K' | '8K';
bitrate: number;
framerate: 24 | 30 | 60 | 120;
codec: 'h264' | 'h265' | 'av1' | 'vp9';
};
streaming: {
protocol: 'HLS' | 'DASH' | 'RTMP' | 'WebRTC';
latency: 'ultra-low' | 'low' | 'standard';
adaptive: boolean;
buffering: number;
};
security: {
encryption: 'AES-128' | 'AES-256';
drm: 'Widevine' | 'PlayReady' | 'FairPlay';
tokenAuth: boolean;
geoBlocking: string[];
};
performance: {
cacheLevel: 'edge' | 'regional' | 'global';
preload: boolean;
optimization: 'bandwidth' | 'quality' | 'balanced';
};
}
const streamingConfig: StreamingConfig = {
endpoints: {
primary: 'https://streaming.gemini-flow.ai/v2',
backup: [
'https://backup1.streaming.gemini-flow.ai/v2',
'https://backup2.streaming.gemini-flow.ai/v2'
],
cdn: [
'https://cdn-us.streaming.gemini-flow.ai',
'https://cdn-eu.streaming.gemini-flow.ai',
'https://cdn-asia.streaming.gemini-flow.ai'
]
},
quality: {
resolution: '4K',
bitrate: 15000,
framerate: 60,
codec: 'h265'
},
streaming: {
protocol: 'WebRTC',
latency: 'ultra-low',
adaptive: true,
buffering: 2000
},
security: {
encryption: 'AES-256',
drm: 'Widevine',
tokenAuth: true,
geoBlocking: ['CN', 'RU']
},
performance: {
cacheLevel: 'edge',
preload: true,
optimization: 'balanced'
}
};
```
### API Integration Examples
```typescript
import { StreamingService, StreamConfig } from '@gemini-flow/streaming';
class StreamingManager {
private streaming: StreamingService;
constructor(config: StreamingConfig) {
this.streaming = new StreamingService(config);
}
async startLiveStream(options: StreamOptions): Promise<StreamSession> {
try {
// Initialize stream with quality settings
const session = await this.streaming.createSession({
quality: options.quality,
protocol: 'WebRTC',
latency: 'ultra-low',
encryption: true
});
// Configure adaptive bitrate streaming
await session.enableAdaptiveBitrate({
profiles: [
{ resolution: '480p', bitrate: 1000 },
{ resolution: '720p', bitrate: 2500 },
{ resolution: '1080p', bitrate: 5000 },
{ resolution: '4K', bitrate: 15000 }
],
algorithm: 'bandwidth-optimized'
});
// Set up real-time analytics
session.on('metrics', (metrics: StreamMetrics) => {
this.handleStreamMetrics(metrics);
});
return session;
} catch (error) {
throw new StreamingError('Failed to start live stream', error);
}
}
async processMultimedia(file: MediaFile): Promise<ProcessedMedia> {
const pipeline = this.streaming.createPipeline()
.addFilter('noise-reduction', { strength: 0.7 })
.addFilter('color-correction', { auto: true })
.addTranscoder({
video: { codec: 'h265', bitrate: '5M' },
audio: { codec: 'aac', bitrate: '128k' }
})
.addWatermark({
position: 'bottom-right',
opacity: 0.8,
scale: 0.2
});
return await pipeline.process(file);
}
private handleStreamMetrics(metrics: StreamMetrics): void {
if (metrics.viewerCount > 10000) {
this.scaling.addCapacity('high-demand');
}
if (metrics.averageLatency > 500) {
this.optimization.switchToNearestCDN();
}
}
}
// Real-time streaming example
const streamManager = new StreamingManager(streamingConfig);
// Start interactive live stream
const liveStream = await streamManager.startLiveStream({
quality: '4K',
interactive: true,
chatEnabled: true,
recordingEnabled: true
});
// Process uploaded content
const processedVideo = await streamManager.processMultimedia({
type: 'video',
format: 'mp4',
duration: 3600,
url: 'https://uploads.example.com/video.mp4'
});
```
### Cross-Service Orchestration
```typescript
// Multi-service streaming workflow
class MultiServiceOrchestrator {
async createInteractiveExperience(request: InteractiveRequest): Promise<Experience> {
// 1. Generate video content with Veo3
const videoContent = await this.veo3.generateVideo({
prompt: request.concept,
style: 'cinematic',
duration: 120
});
// 2. Create background music with Lyria
const backgroundMusic = await this.lyria.compose({
mood: request.mood,
genre: 'cinematic',
duration: 120,
instrumentation: ['orchestra', 'electronic']
});
// 3. Generate companion images with Imagen4
const keyFrames = await this.imagen4.generateSeries({
prompts: this.extractKeyMoments(request.concept),
style: 'photorealistic',
consistency: true
});
// 4. Process and stream combined content
const streamSession = await this.streaming.createSession({
sources: [videoContent, backgroundMusic],
overlays: keyFrames,
interactive: true,
quality: '4K'
});
// 5. Enable real-time interaction with Mariner
await this.mariner.setupInteractiveControls({
session: streamSession.id,
controls: ['quality', 'audio-mix', 'overlay-toggle'],
realtime: true
});
return {
sessionId: streamSession.id,
streamUrl: streamSession.playbackUrl,
interactiveUrl: streamSession.controlsUrl,
analytics: streamSession.metricsEndpoint
};
}
}
```
### Performance Optimization
```typescript
export class StreamingOptimizer {
async optimizeForLatency(session: StreamSession): Promise<void> {
// Ultra-low latency configuration
await session.configure({
encoding: {
keyFrameInterval: 1, // 1 second
preset: 'ultrafast',
tuning: 'zerolatency'
},
transport: {
protocol: 'WebRTC',
bundlePolicy: 'max-bundle',
iceTransportPolicy: 'relay'
},
buffering: {
target: 500, // 500ms
max: 1000,
adaptive: true
}
});
// Edge server optimization
const optimalEdge = await this.selectOptimalEdge(session.viewerLocation);
await session.redirectToEdge(optimalEdge);
}
async optimizeForQuality(session: StreamSession): Promise<void> {
// Quality-first configuration
await session.configure({
encoding: {
preset: 'slower',
crf: 18, // High quality
profile: 'high'
},
adaptive: {
enabled: true,
algorithm: 'quality-based',
thresholds: {
excellent: { bandwidth: '50Mbps', resolution: '4K' },
good: { bandwidth: '15Mbps', resolution: '1080p' },
fair: { bandwidth: '5Mbps', resolution: '720p' }
}
}
});
}
async enableGlobalScaling(): Promise<void> {
// Auto-scaling based on demand
this.scaling.configure({
triggers: {
viewerCount: { scale: 1000, action: 'add-edge-server' },
bandwidth: { threshold: '80%', action: 'load-balance' },
latency: { threshold: 300, action: 'optimize-routing' }
},
limits: {
maxEdgeServers: 50,
maxBandwidth: '10Gbps',
maxConcurrentStreams: 100000
}
});
}
}
```
### Error Handling
```typescript
export class StreamingErrorHandler {
async handleStreamingErrors(session: StreamSession): Promise<void> {
session.on('error', async (error: StreamingError) => {
switch (error.type) {
case 'NETWORK_INTERRUPTION':
await this.handleNetworkInterruption(session, error);
break;
case 'ENCODING_FAILURE':
await this.handleEncodingFailure(session, error);
break;
case 'CAPACITY_EXCEEDED':
await this.handleCapacityExceeded(session, error);
break;
case 'AUTHENTICATION_ERROR':
await this.handleAuthenticationError(session, error);
break;
default:
await this.handleGenericError(session, error);
}
});
}
private async handleNetworkInterruption(session: StreamSession, error: StreamingError): Promise<void> {
// Implement automatic failover
const backupServers = await this.getBackupServers(session.region);
for (const server of backupServers) {
try {
await session.reconnectToServer(server);
this.logger.info('Successfully failed over to backup server', {
originalServer: error.serverInfo.id,
backupServer: server.id
});
return;
} catch (reconnectError) {
this.logger.warn('Backup server connection failed', {
server: server.id,
error: reconnectError
});
}
}
// If all backup servers fail, pause and notify
await session.pauseStream();
await this.notifySubscribers('STREAM_PAUSED', {
sessionId: session.id,
reason: 'Network interruption - all servers unavailable'
});
}
private async handleEncodingFailure(session: StreamSession, error: StreamingError): Promise<void> {
// Reduce quality and retry
const currentQuality = session.currentQuality;
const fallbackQuality = this.getNextLowerQuality(currentQuality);
if (fallbackQuality) {
await session.changeQuality(fallbackQuality);
this.logger.info('Reduced quality due to encoding failure', {
from: currentQuality,
to: fallbackQuality
});
} else {
// No lower quality available - restart with basic settings
await session.restart({
quality: '480p',
codec: 'h264',
preset: 'veryfast'
});
}
}
private async handleCapacityExceeded(session: StreamSession, error: StreamingError): Promise<void> {
// Trigger auto-scaling
await this.scaling.addCapacity({
region: session.region,
urgency: 'high',
estimatedDuration: '30m'
});
// Queue session if scaling takes time
if (this.scaling.estimatedScalingTime > 60000) { // 1 minute
await this.queueSession(session, {
priority: session.isPremium ? 'high' : 'normal',
estimatedWaitTime: this.scaling.estimatedScalingTime
});
}
}
}
```
---
## 🏢 2. AgentSpace - Collaborative Workspace Management
### Overview
Enterprise collaboration platform providing secure agent environments, resource virtualization, and distributed workspaces with advanced isolation and monitoring.
### OpenAPI 3.0 Specification
```yaml
openapi: 3.0.0
info:
title: AgentSpace Manager API
version: 1.5.0
description: Collaborative workspace management and virtualization
paths:
/agentspace/create:
post:
summary: Create new agent workspace
requestBody:
required: true
content:
application/json:
schema:
type: object
properties:
workspaceId:
type: string
resources:
type: object
properties:
cpu:
type: number
description: CPU cores allocated
memory:
type: number
description: Memory in MB
storage:
type: number
description: Storage in GB
gpu:
type: boolean
description: GPU access required
isolation:
type: object
properties:
level:
type: string
enum: [basic, enhanced, strict, maximum]
networkPolicy:
type: string
enum: [open, restricted, isolated, custom]
security:
type: object
properties:
encryption:
type: boolean
default: true
accessControl:
type: string
enum: [rbac, abac, custom]
auditLogging:
type: boolean
default: true
responses:
'201':
description: Workspace created
content:
application/json:
schema:
type: object
properties:
workspaceId:
type: string
endpoint:
type: string
accessToken:
type: string
resources:
type: object
/agentspace/{workspaceId}/agents:
post:
summary: Spawn agent in workspace
parameters:
- name: workspaceId
in: path
required: true
schema:
type: string
requestBody:
content:
application/json:
schema:
type: object
properties:
agentType:
type: string
capabilities:
type: array
items:
type: string
environment:
type: object
resourceLimits:
type: object
properties:
maxMemory:
type: number
maxCpu:
type: number
timeout:
type: number
responses:
'201':
description: Agent spawned
content:
application/json:
schema:
type: object
properties:
agentId:
type: string
status:
type: string
endpoint:
type: string
/agentspace/{workspaceId}/collaborate:
post:
summary: Enable agent collaboration
parameters:
- name: workspaceId
in: path
required: true
schema:
type: string
requestBody:
content:
application/json:
schema:
type: object
properties:
participants:
type: array
items:
type: string
collaborationType:
type: string
enum: [shared-memory, message-passing, consensus-based]
securityLevel:
type: string
enum: [basic, enhanced, enterprise]
sharedResources:
type: array
items:
type: string
responses:
'200':
description: Collaboration enabled
content:
application/json:
schema:
type: object
properties:
collaborationId:
type: string
sharedEndpoint:
type: string
participants:
type: array
items:
type: object
```
### Usage Examples
```typescript
// Initialize AgentSpace manager
const agentSpaceManager = new AgentSpaceManager({
projectId: 'your-project-id',
region: 'us-central1',
security: {
enabled: true,
encryption: 'aes-256-gcm',
accessControl: 'rbac'
}
});
// Create secure workspace
const workspace = await agentSpaceManager.createWorkspace({
workspaceId: 'research-team-alpha',
resources: {
cpu: 4,
memory: 8192,
storage: 100,
gpu: true
},
isolation: {
level: 'enhanced',
networkPolicy: 'restricted'
},
security: {
encryption: true,
accessControl: 'rbac',
auditLogging: true
}
});
// Spawn collaborative agents
const researcher = await agentSpaceManager.spawnAgent(workspace.workspaceId, {
agentType: 'researcher',
capabilities: ['data-analysis', 'report-generation'],
resourceLimits: {
maxMemory: 2048,
maxCpu: 1,
timeout: 3600000
}
});
const analyst = await agentSpaceManager.spawnAgent(workspace.workspaceId, {
agentType: 'analyst',
capabilities: ['pattern-recognition', 'visualization'],
resourceLimits: {
maxMemory: 4096,
maxCpu: 2,
timeout: 3600000
}
});
// Enable collaboration
await agentSpaceManager.enableCollaboration(workspace.workspaceId, {
participants: [researcher.agentId, analyst.agentId],
collaborationType: 'shared-memory',
securityLevel: 'enterprise'
});
```
### Advanced Features
- **Environment Virtualization**: Isolated agent execution environments
- **Resource Management**: Dynamic allocation and scaling
- **Collaboration Protocols**: Secure agent-to-agent communication
- **Security Integration**: Zero-trust architecture with encryption
- **Monitoring & Audit**: Comprehensive workspace activity tracking
- **Performance Optimization**: Intelligent resource allocation
### Service Configurations
```typescript
// AgentSpace Configuration
export interface AgentSpaceConfig {
workspace: {
isolation: 'container' | 'vm' | 'process';
resources: {
cpu: string;
memory: string;
storage: string;
network: boolean;
};
persistence: 'ephemeral' | 'session' | 'permanent';
};
collaboration: {
protocol: 'gRPC' | 'WebSocket' | 'HTTP/2';
encryption: boolean;
authentication: 'token' | 'certificate' | 'mutual-tls';
discovery: 'mesh' | 'registry' | 'broadcast';
};
security: {
zeroTrust: boolean;
accessControl: 'rbac' | 'abac' | 'capability';
audit: boolean;
compliance: string[];
};
scaling: {
autoScale: boolean;
minAgents: number;
maxAgents: number;
scaleMetrics: string[];
};
}
const agentSpaceConfig: AgentSpaceConfig = {
workspace: {
isolation: 'container',
resources: {
cpu: '2000m',
memory: '4Gi',
storage: '10Gi',
network: true
},
persistence: 'session'
},
collaboration: {
protocol: 'gRPC',
encryption: true,
authentication: 'mutual-tls',
discovery: 'mesh'
},
security: {
zeroTrust: true,
accessControl: 'rbac',
audit: true,
compliance: ['SOC2', 'GDPR', 'HIPAA']
},
scaling: {
autoScale: true,
minAgents: 1,
maxAgents: 100,
scaleMetrics: ['cpu', 'memory', 'requests']
}
};
```
### API Integration Examples
```typescript
import { AgentSpaceManager, WorkspaceConfig } from '@gemini-flow/agentspace';
class CollaborativeWorkspaceManager {
private agentSpace: AgentSpaceManager;
constructor(config: AgentSpaceConfig) {
this.agentSpace = new AgentSpaceManager(config);
}
async createCollaborativeEnvironment(project: ProjectConfig): Promise<Workspace> {
try {
// Create isolated workspace
const workspace = await this.agentSpace.createWorkspace({
id: project.id,
isolation: 'container',
resources: {
cpu: project.complexity === 'high' ? '4000m' : '2000m',
memory: project.complexity === 'high' ? '8Gi' : '4Gi',
storage: '20Gi'
},
persistence: 'session',
security: {
encryption: true,
accessControl: project.security.level
}
});
// Set up collaboration protocols
await workspace.enableCollaboration({
protocol: 'gRPC',
mesh: true,
discovery: 'automatic',
consensus: 'raft'
});
// Deploy specialized agents
const agents = await this.deploySpecializedAgents(workspace, project.requirements);
// Configure communication channels
await this.setupCommunicationChannels(workspace, agents);
return workspace;
} catch (error) {
throw new AgentSpaceError('Failed to create collaborative environment', error);
}
}
async deploySpecializedAgents(workspace: Workspace, requirements: string[]): Promise<Agent[]> {
const agents: Agent[] = [];
for (const requirement of requirements) {
const agentType = this.determineAgentType(requirement);
const agent = await workspace.deployAgent({
type: agentType,
resources: this.calculateResourcesForAgent(agentType),
capabilities: this.getCapabilitiesForRequirement(requirement),
isolation: true,
monitoring: true
});
agents.push(agent);
}
// Establish agent mesh network
await workspace.establishMesh(agents, {
topology: 'full-mesh',
encryption: true,
loadBalancing: true
});
return agents;
}
async orchestrateCollaborativeTask(workspace: Workspace, task: Task): Promise<TaskResult> {
// Identify suitable agents for the task
const suitableAgents = await workspace.findAgents({
capabilities: task.requiredCapabilities,
availability: 'available',
performance: { threshold: 0.8 }
});
// Create task coordination plan
const plan = await this.createCoordinationPlan(task, suitableAgents);
// Execute coordinated task
const execution = await workspace.executeCoordinatedTask({
plan,
agents: suitableAgents,
coordination: {
strategy: 'consensus',
timeout: task.timeout,
failover: true
}
});
return execution.result;
}
private async setupCommunicationChannels(workspace: Workspace, agents: Agent[]): Promise<void> {
// Create secure communication channels
for (let i = 0; i < agents.length; i++) {
for (let j = i + 1; j < agents.length; j++) {
await workspace.createChannel({
from: agents[i].id,
to: agents[j].id,
protocol: 'gRPC',
encryption: 'TLS-1.3',
compression: 'gzip',
buffering: true
});
}
}
// Set up broadcast channels for coordination
await workspace.createBroadcastChannel({
name: 'coordination',
agents: agents.map(a => a.id),
encryption: true,
persistence: true
});
}
}
// Real-world usage example
const workspaceManager = new CollaborativeWorkspaceManager(agentSpaceConfig);
// Create environment for software development project
const devWorkspace = await workspaceManager.createCollaborativeEnvironment({
id: 'project-alpha',
type: 'software-development',
complexity: 'high',
requirements: [
'backend-development',
'frontend-development',
'testing',
'deployment',
'monitoring'
],
security: { level: 'enterprise' }
});
// Execute collaborative development task
const result = await workspaceManager.orchestrateCollaborativeTask(devWorkspace, {
id: 'feature-implementation',
type: 'development',
requiredCapabilities: ['coding', 'testing', 'review'],
timeout: 3600000, // 1 hour
priority: 'high'
});
```
### Cross-Service Orchestration
```typescript
// Multi-service collaborative workflow
class MultiServiceCollaborationOrchestrator {
async createMultiModalResearchEnvironment(research: ResearchProject): Promise<ResearchEnvironment> {
// 1. Create collaborative workspace with AgentSpace
const workspace = await this.agentSpace.createWorkspace({
id: research.id,
isolation: 'vm',
resources: { cpu: '8000m', memory: '16Gi', storage: '100Gi' }
});
// 2. Deploy Co-Scientist research agents
const researchAgents = await this.coScientist.deployResearchTeam({
workspace: workspace.id,
expertise: research.domains,
collaboration: true
});
// 3. Set up Mariner for web research automation
const webResearchAgent = await this.mariner.createAutomationAgent({
workspace: workspace.id,
capabilities: ['data-extraction', 'source-validation', 'citation-tracking'],
headless: true
});
// 4. Configure Chirp for literature review audio processing
await this.chirp.setupAudioProcessing({
workspace: workspace.id,
features: ['transcription', 'summarization', 'key-extraction'],
languages: research.languages
});
// 5. Enable Imagen4 for research visualization
await this.imagen4.setupVisualization({
workspace: workspace.id,
types: ['charts', 'diagrams', 'infographics'],
styles: ['academic', 'technical']
});
// 6. Establish cross-service communication
await workspace.enableCrossServiceCommunication({
services: ['co-scientist', 'mariner', 'chirp', 'imagen4'],
protocol: 'event-driven',
coordination: 'consensus'
});
return {
workspaceId: workspace.id,
agents: [...researchAgents, webResearchAgent],
capabilities: this.aggregateCapabilities(researchAgents),
services: ['agentspace', 'co-scientist', 'mariner', 'chirp', 'imagen4']
};
}
}
```
### Performance Optimization
```typescript
export class AgentSpaceOptimizer {
async optimizeResourceAllocation(workspace: Workspace): Promise<void> {
// Dynamic resource optimization based on agent performance
const agents = await workspace.getAgents();
const metrics = await this.collectPerformanceMetrics(agents);
for (const agent of agents) {
const agentMetrics = metrics.get(agent.id);
if (agentMetrics.cpuUtilization > 0.8) {
await agent.scaleResources({
cpu: this.calculateOptimalCPU(agentMetrics),
priority: 'high'
});
}
if (agentMetrics.memoryUtilization > 0.9) {
await agent.scaleResources({
memory: this.calculateOptimalMemory(agentMetrics),
priority: 'critical'
});
}
// Optimize network topology based on communication patterns
if (agentMetrics.networkLatency > 50) {
await this.optimizeNetworkTopology(workspace, agent);
}
}
}
async enableIntelligentScaling(workspace: Workspace): Promise<void> {
// Predictive scaling based on workload patterns
await workspace.configureAutoScaling({
strategy: 'predictive',
metrics: {
cpu: { threshold: 0.7, cooldown: 300 },
memory: { threshold: 0.8, cooldown: 180 },
requests: { threshold: 100, window: '5m' }
},
scaling: {
scaleUp: {
increment: 2,
maxInstances: 50,
stabilizationWindow: 300
},
scaleDown: {
decrement: 1,
minInstances: 1,
stabilizationWindow: 600
}
}
});
// Implement intelligent load balancing
await workspace.enableLoadBalancing({
algorithm: 'least-connections',
healthCheck: {
path: '/health',
interval: 30,
timeout: 5,
unhealthyThreshold: 3
},
sessionAffinity: false
});
}
async optimizeCollaborationProtocols(workspace: Workspace): Promise<void> {
// Optimize communication protocols based on collaboration patterns
const collaborationMetrics = await workspace.getCollaborationMetrics();
if (collaborationMetrics.messageVolume > 1000) {
// Switch to more efficient batch processing
await workspace.configureCommunication({
batching: {
enabled: true,
maxBatchSize: 50,
flushInterval: 100
},
compression: 'lz4',
serialization: 'protobuf'
});
}
// Implement intelligent routing for cross-agent communication
await workspace.optimizeRouting({
strategy: 'shortest-path',
loadAware: true,
failover: 'automatic'
});
}
}
```
### Error Handling
```typescript
export class AgentSpaceErrorHandler {
async handleWorkspaceErrors(workspace: Workspace): Promise<void> {
workspace.on('error', async (error: WorkspaceError) => {
switch (error.type) {
case 'RESOURCE_EXHAUSTION':
await this.handleResourceExhaustion(workspace, error);
break;
case 'AGENT_FAILURE':
await this.handleAgentFailure(workspace, error);
break;
case 'COMMUNICATION_FAILURE':
await this.handleCommunicationFailure(workspace, error);
break;
case 'SECURITY_VIOLATION':
await this.handleSecurityViolation(workspace, error);
break;
default:
await this.handleGenericError(workspace, error);
}
});
}
private async handleResourceExhaustion(workspace: Workspace, error: WorkspaceError): Promise<void> {
// Immediate resource optimization
const criticalAgents = await workspace.findAgents({
status: 'critical',
resourceUsage: { threshold: 0.95 }
});
for (const agent of criticalAgents) {
// Scale up resources or migrate to less loaded nodes
try {
await agent.scaleResources({
cpu: '+50%',
memory: '+25%',
priority: 'emergency'
});
} catch (scaleError) {
// If scaling fails, migrate to different node
await this.migrateAgent(agent, {
targetNode: 'least-loaded',
preserveState: true
});
}
}
// Trigger cluster-wide load rebalancing
await workspace.rebalanceLoad({
strategy: 'emergency',
considerPerformance: true
});
}
private async handleAgentFailure(workspace: Workspace, error: WorkspaceError): Promise<void> {
const failedAgent = error.agentId;
// Implement automatic agent recovery
try {
// Attempt to restart the agent
await workspace.restartAgent(failedAgent, {
preserveState: true,
timeout: 30000
});
} catch (restartError) {
// If restart fails, deploy replacement agent
const replacementAgent = await workspace.deployAgent({
type: error.agentInfo.type,
capabilities: error.agentInfo.capabilities,
resources: error.agentInfo.resources,
priority: 'high'
});
// Restore state from backup
await this.restoreAgentState(replacementAgent, failedAgent);
// Update mesh network topology
await workspace.updateMeshTopology({
remove: [failedAgent],
add: [replacementAgent.id]
});
}
}
private async handleCommunicationFailure(workspace: Workspace, error: WorkspaceError): Promise<void> {
// Diagnose communication failure
const diagnostics = await workspace.diagnoseCommunication({
agents: error.affectedAgents,
channels: error.affectedChannels
});
if (diagnostics.networkPartition) {
// Handle network partition with split-brain prevention
await this.handleNetworkPartition(workspace, diagnostics);
} else if (diagnostics.protocolError) {
// Restart communication protocols
await workspace.restartCommunicationProtocols({
agents: error.affectedAgents,
graceful: true
});
} else {
// Implement circuit breaker pattern
await workspace.enableCircuitBreaker({
agents: error.affectedAgents,
failureThreshold: 5,
recoveryTime: 30000
});
}
}
private async handleSecurityViolation(workspace: Workspace, error: WorkspaceError): Promise<void> {
// Immediate containment
await workspace.isolateAgent(error.agentId, {
level: 'complete',
preserveEvidence: true
});
// Security audit
const auditResults = await workspace.conductSecurityAudit({
scope: 'affected-agents',
depth: 'comprehensive'
});
// Automated remediation
if (auditResults.threatLevel === 'high') {
await workspace.executeSecurityRemediation({
actions: ['revoke-certificates', 'rotate-keys', 'audit-logs'],
affectedAgents: auditResults.compromisedAgents
});
}
// Notify security team
await this.notifySecurityTeam({
incident: error,
audit: auditResults,
actions: 'automated-containment-applied'
});
}
}
```
---
## 🔍 3. Mariner - Browser Automation & Reasoning
### Overview
Advanced browser automation engine with AI-driven testing, performance monitoring, and intelligent task orchestration using chain-of-thought reasoning.
### OpenAPI 3.0 Specification
```yaml
openapi: 3.0.0
info:
title: Mariner Automation API
version: 1.3.0
description: AI-powered browser automation and reasoning engine
paths:
/mariner/session:
post:
summary: Create browser automation session
requestBody:
required: true
content:
application/json:
schema:
type: object
properties:
browser:
type: string
enum: [chromium, firefox, webkit]
headless:
type: boolean
default: true
viewport:
type: object
properties:
width:
type: number
default: 1920
height:
type: number
default: 1080
proxy:
type: object
properties:
server:
type: string
username:
type: string
password:
type: string
aiMode:
type: boolean
default: true
reasoningLevel:
type: string
enum: [basic, intermediate, advanced, expert]
responses:
'201':
description: Session created
content:
application/json:
schema:
type: object
properties:
sessionId:
type: string
browserEndpoint:
type: string
capabilities:
type: array
items:
type: string
/mariner/navigate:
post:
summary: Navigate to URL with AI reasoning
requestBody:
content:
application/json:
schema:
type: object
properties:
sessionId:
type: string
url:
type: string
waitFor:
type: string
enum: [load, domcontentloaded, networkidle]
reasoning:
type: object
properties:
analyze:
type: boolean
default: true
detectPatterns:
type: boolean
default: true
extractContent:
type: boolean
default: false
responses:
'200':
description: Navigation completed
content:
application/json:
schema:
type: object
properties:
success:
type: boolean
analysis:
type: object
properties:
pageType:
type: string
elements:
type: array
items:
type: object
patterns:
type: array
items:
type: string
/mariner/execute:
post:
summary: Execute AI-driven automation task
requestBody:
content:
application/json:
schema:
type: object
properties:
sessionId:
type: string
task:
type: object
properties:
type:
type: string
enum: [click, type, scroll, wait, extract, form-fill]
target:
type: string
description: CSS selector or AI description
value:
type: string
reasoning:
type: string
description: Chain of thought reasoning
fallback:
type: array
items:
type: object
responses:
'200':
description: Task executed
content:
application/json:
schema:
type: object
properties:
success:
type: boolean
result:
type: object
reasoning:
type: object
properties:
thought_process:
type: array
items:
type: string
confidence:
type: number
alternatives:
type: array
items:
type: object
```
### Usage Examples
```typescript
// Initialize Mariner automation
const marinerAutomation = new MarinerAutomation({
browser: {
engine: 'chromium',
headless: true,
devtools: false
},
ai: {
enabled: true,
reasoningLevel: 'advanced',
chainOfThought: true
}
});
// Create automation session
const session = await marinerAutomation.createSession({
browser: 'chromium',
headless: false,
viewport: { width: 1920, height: 1080 },
aiMode: true,
reasoningLevel: 'expert'
});
// Navigate with AI analysis
const navigation = await marinerAutomation.navigate({
sessionId: session.sessionId,
url: 'https://example.com/complex-form',
waitFor: 'networkidle',
reasoning: {
analyze: true,
detectPatterns: true,
extractContent: true
}
});
// Execute intelligent form filling
const formFillTask = await marinerAutomation.executeTask({
sessionId: session.sessionId,
task: {
type: 'form-fill',
target: 'form[name="registration"]',
reasoning: 'Identify and fill registration form with provided data',
data: {