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Workshop 8: Advanced Topics

Duration: 60 minutes | Level: Advanced | Prerequisites: Workshops 1-7

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What You’ll Master

Take your B-Bot expertise to the next level with advanced features and enterprise capabilities.
1

Multi-Agent Systems

Build teams of experts that collaborate on complex tasks
2

Team Collaboration

Manage experts across your organization
3

Enterprise Features

Scale with advanced security and compliance
4

Advanced Workflows

Create sophisticated automation pipelines
5

Optimization

Performance tuning and cost optimization

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Multi-Agent Systems

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What are Multi-Agent Systems?

Instead of one expert handling everything, multiple specialized experts collaborate: 
┌─────────────────────────────────────────────────────────────────┐
│                    MULTI-AGENT ARCHITECTURE                      │
├─────────────────────────────────────────────────────────────────┤
│                                                                 │
│                    ┌─────────────────┐                         │
│                    │  Orchestrator   │                         │
│                    │     Expert      │                         │
│                    └────────┬────────┘                         │
│                             │                                   │
│           ┌─────────────────┼─────────────────┐                │
│           │                 │                 │                │
│           ▼                 ▼                 ▼                │
│   ┌───────────────┐ ┌───────────────┐ ┌───────────────┐       │
│   │   Research    │ │    Writer     │ │   Analyst     │       │
│   │    Expert     │ │    Expert     │ │    Expert     │       │
│   └───────────────┘ └───────────────┘ └───────────────┘       │
│           │                 │                 │                │
│           ▼                 ▼                 ▼                │
│   Gathers data,      Creates content,   Provides insights,    │
│   finds sources      writes reports    analyzes data          │
│                                                                 │
└─────────────────────────────────────────────────────────────────┘

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Benefits of Multi-Agent Systems

Specialization

Each expert excels at specific tasks

Parallelization

Multiple experts work simultaneously

Scalability

Add experts as needs grow

Flexibility

Swap experts without breaking workflows

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Creating Expert Teams

1

Identify Roles

Determine what specialized roles you need
2

Create Experts

Build each specialist expert
3

Add Team Members

Link experts as team members
4

Configure Delegation

Set up how the lead expert delegates

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Example: Content Creation Team

Content Director (Lead Expert)
├── Research Specialist
│   └── Abilities: Web search, fact-checking, source validation
├── Writer Expert
│   └── Abilities: Blog posts, articles, copywriting
├── Editor Expert
│   └── Abilities: Grammar, style, tone adjustment
└── SEO Expert
    └── Abilities: Keywords, meta descriptions, optimization

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🎯 Exercise: Build a Team

Create a customer support team:
1

Create Tier 1 Support

Basic FAQ and common questions expert
2

Create Technical Support

Deep technical troubleshooting expert
3

Create Escalation Handler

Complex issues and supervisor role expert
4

Link as Team

Make Tier 1 the lead with others as team members

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Team Collaboration

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Company & User Management

B-Bot supports organizational structures: 
Company: TechCorp
├── Admin Users
│   └── Full access, billing, user management
├── Manager Users
│   └── Expert creation, team management
├── Member Users
│   └── Chat, limited editing
└── Guest Users (Optional)
    └── Chat only

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Sharing Experts

Share experts across your organization:
Share LevelCapabilities
PrivateOnly you can see/use
TeamCompany members can use
PublicAnyone can use (marketplace)
TemplateOthers can clone

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Expert Templates

Create reusable expert templates:
1

Build Expert

Create and perfect your expert
2

Save as Template

Export to template format
3

Share

Make available to team or marketplace
4

Version

Update templates as you improve

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Template Marketplace

Share your creations:

Browse Templates

Find pre-built experts from the community

Publish Templates

Share your best experts as templates

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Enterprise Features

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Advanced Security

Connect to your identity provider:
  • SAML 2.0 support
  • OAuth/OIDC integration
  • Azure AD, Okta, Auth0
Fine-grained permissions:
  • Custom roles
  • Per-expert permissions
  • API scope restrictions
Complete activity tracking:
  • User actions
  • Expert modifications
  • API access logs
Control where data lives:
  • EU data centers
  • US data centers
  • Custom hosting options

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Compliance

StandardSupport
GDPR✅ Full compliance
SOC 2✅ Type II certified
HIPAA✅ BAA available
ISO 27001✅ Certified

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Enterprise API Features

Additional API capabilities: 
# Batch operations
batch_result = api.threads.create_batch([
    {"input": "Query 1"},
    {"input": "Query 2"},
    {"input": "Query 3"}
])

# Priority queuing
response = api.runs.create(
    thread_id=thread.id,
    priority="high",
    timeout=30
)

# Custom model routing
response = api.runs.create(
    thread_id=thread.id,
    model_override="gpt-4o",
    fallback_models=["claude-3-sonnet", "gpt-4o-mini"]
)

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Advanced Workflows

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Workflow Builder

Create complex automation with the visual workflow builder: 
┌─────────────────────────────────────────────────────────────────┐
│                     WORKFLOW EXAMPLE                             │
├─────────────────────────────────────────────────────────────────┤
│                                                                 │
│   [Trigger: New Email] ──► [Filter: Support Topic]             │
│                                    │                            │
│                    ┌───────────────┴───────────────┐           │
│                    ▼                               ▼           │
│            [Technical?]                    [Billing?]          │
│                    │                               │           │
│                    ▼                               ▼           │
│   [Route: Tech Expert]              [Route: Billing Expert]    │
│                    │                               │           │
│                    ▼                               ▼           │
│   [Action: Draft Reply]              [Action: Check Account]   │
│                    │                               │           │
│                    └───────────────┬───────────────┘           │
│                                    ▼                            │
│                        [Action: Send Response]                  │
│                                                                 │
└─────────────────────────────────────────────────────────────────┘

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Scheduled Tasks

Automate recurring work:

Daily Summaries

Generate reports every morning

Weekly Reviews

Analyze data at week end

Monitoring

Check systems periodically

Cleanup

Archive old threads automatically

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Event-Driven Automation

Respond to events automatically: 
// Webhook handler
app.post('/webhook', (req, res) => {
  const event = req.body;
  
  switch(event.type) {
    case 'thread.created':
      // Assign to appropriate expert
      routeThread(event.thread_id);
      break;
      
    case 'message.received':
      // Check for escalation triggers
      checkEscalation(event.message);
      break;
      
    case 'tool.error':
      // Alert on tool failures
      notifyAdmin(event.error);
      break;
  }
  
  res.status(200).send('OK');
});

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Performance Optimization

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Response Time Optimization

Choose the right model for the task:
  • Simple queries → GPT-4o-mini (fast)
  • Complex reasoning → GPT-4o (accurate)
  • Use model routing for best of both
Optimize conversation context:
  • Summarize long conversations
  • Use memory for persistent info
  • Prune irrelevant history
Cache common responses:
  • FAQ answers
  • Static information
  • Document retrieval results
Always use streaming for UX:
  • Users see responses immediately
  • Reduces perceived latency
  • Better error handling

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Cost Optimization

StrategyImpactImplementation
Model tiering40-60% savingsRoute simple queries to cheaper models
Context pruning20-30% savingsSummarize instead of full history
Caching10-20% savingsCache frequently asked questions
Batch processing10-15% savingsGroup API calls when possible

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Monitoring Dashboard

Track key metrics: 
┌─────────────────────────────────────────────────────────────────┐
│                    PERFORMANCE DASHBOARD                         │
├─────────────────────────────────────────────────────────────────┤
│                                                                 │
│   Response Time        Token Usage          Error Rate          │
│   ┌─────────────┐     ┌─────────────┐     ┌─────────────┐      │
│   │   1.2s avg  │     │  45K/day    │     │   0.3%      │      │
│   │   ▼ 15%     │     │  ▲ 5%       │     │   ▼ 0.1%    │      │
│   └─────────────┘     └─────────────┘     └─────────────┘      │
│                                                                 │
│   User Satisfaction    Active Threads       API Latency         │
│   ┌─────────────┐     ┌─────────────┐     ┌─────────────┐      │
│   │   4.7/5.0   │     │    1,234    │     │   89ms p95  │      │
│   │   ▲ 0.2     │     │   ▲ 12%     │     │   ▼ 11ms    │      │
│   └─────────────┘     └─────────────┘     └─────────────┘      │
│                                                                 │
└─────────────────────────────────────────────────────────────────┘

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Advanced Configuration

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Custom Model Configuration

Fine-tune model behavior: 
{
  "model": "gpt-4o",
  "temperature": 0.7,
  "max_tokens": 2048,
  "top_p": 0.9,
  "frequency_penalty": 0.3,
  "presence_penalty": 0.3,
  "stop_sequences": ["END", "DONE"],
  "response_format": { "type": "json_object" }
}

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Memory Configuration

Customize memory behavior: 
{
  "memory": {
    "enabled": true,
    "max_memories": 100,
    "auto_forget_after_days": 90,
    "importance_threshold": 0.5,
    "categories": ["preferences", "facts", "instructions"]
  }
}

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Tool Configuration

Advanced tool settings: 
{
  "tools": {
    "web_search": {
      "enabled": true,
      "max_results": 5,
      "filter_domains": ["trusted-source.com"],
      "timeout": 10
    },
    "code_execution": {
      "enabled": true,
      "allowed_languages": ["python", "javascript"],
      "max_runtime": 30,
      "memory_limit": "512MB"
    }
  }
}

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🎯 Final Challenge: Complete System

Build a complete multi-expert system:
1

Design Architecture

Plan a 3+ expert team for a real use case
2

Build Experts

Create each specialized expert
3

Configure Team

Link experts and set up delegation
4

Add Workflow

Create automated routing and escalation
5

Deploy

Set up multiple distribution channels
6

Monitor

Configure analytics and alerts

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Key Takeaways

Team Power

Multi-agent systems handle complex tasks better

Enterprise Ready

B-Bot scales to enterprise requirements

Automation

Workflows reduce manual intervention

Optimization

Fine-tuning improves performance and reduces costs

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Congratulations! 🎉

You’ve completed the B-Bot Workshop Series!

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What You’ve Learned

1. Platform

Ecosystem & navigation

2. Experts

Creating experts

3. Chat

Chat mastery

4. Training

Training & fine-tuning

5. DeepAgents

Autonomous agents

6. Apps

Integrations

7. Deploy

Distribution

8. Advanced

Enterprise features

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Continue Learning

API Reference

Explore the complete API documentation

Concepts

Deep dive into AI concepts and best practices

Community

Join the B-Bot community

Support

Get help from the team