Workshop 8: Advanced Topics
Duration: 60 minutes | Level: Advanced | Prerequisites: Workshops 1-7
What You’ll Master
Take your B-Bot expertise to the next level with advanced features and enterprise capabilities.
Multi-Agent Systems
Build teams of experts that collaborate on complex tasks
Team Collaboration
Manage experts across your organization
Enterprise Features
Scale with advanced security and compliance
Advanced Workflows
Create sophisticated automation pipelines
Optimization
Performance tuning and cost optimization
Multi-Agent Systems
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 │
│ │
└─────────────────────────────────────────────────────────────────┘
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
Creating Expert Teams
Identify Roles
Determine what specialized roles you need
Create Experts
Build each specialist expert
Add Team Members
Link experts as team members
Configure Delegation
Set up how the lead expert delegates
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
🎯 Exercise: Build a Team
Create a customer support team:
Create Tier 1 Support
Basic FAQ and common questions expert
Create Technical Support
Deep technical troubleshooting expert
Create Escalation Handler
Complex issues and supervisor role expert
Link as Team
Make Tier 1 the lead with others as team members
Team Collaboration
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
Sharing Experts
Share experts across your organization:
| Share Level | Capabilities |
|---|
| Private | Only you can see/use |
| Team | Company members can use |
| Public | Anyone can use (marketplace) |
| Template | Others can clone |
Expert Templates
Create reusable expert templates:
Build Expert
Create and perfect your expert
Save as Template
Export to template format
Share
Make available to team or marketplace
Version
Update templates as you improve
Template Marketplace
Share your creations:
Browse Templates
Find pre-built experts from the community
Publish Templates
Share your best experts as templates
Enterprise Features
Advanced Security
Connect to your identity provider:
- SAML 2.0 support
- OAuth/OIDC integration
- Azure AD, Okta, Auth0
Role-Based Access Control
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
Compliance
| Standard | Support |
|---|
| GDPR | ✅ Full compliance |
| SOC 2 | ✅ Type II certified |
| HIPAA | ✅ BAA available |
| ISO 27001 | ✅ Certified |
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"]
)
Advanced Workflows
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] │
│ │
└─────────────────────────────────────────────────────────────────┘
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
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');
});
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
Cost Optimization
| Strategy | Impact | Implementation |
|---|
| Model tiering | 40-60% savings | Route simple queries to cheaper models |
| Context pruning | 20-30% savings | Summarize instead of full history |
| Caching | 10-20% savings | Cache frequently asked questions |
| Batch processing | 10-15% savings | Group API calls when possible |
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 │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ │
│ │
└─────────────────────────────────────────────────────────────────┘
Advanced Configuration
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" }
}
Memory Configuration
Customize memory behavior:
{
"memory": {
"enabled": true,
"max_memories": 100,
"auto_forget_after_days": 90,
"importance_threshold": 0.5,
"categories": ["preferences", "facts", "instructions"]
}
}
{
"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"
}
}
}
🎯 Final Challenge: Complete System
Build a complete multi-expert system:
Design Architecture
Plan a 3+ expert team for a real use case
Build Experts
Create each specialized expert
Configure Team
Link experts and set up delegation
Add Workflow
Create automated routing and escalation
Deploy
Set up multiple distribution channels
Monitor
Configure analytics and alerts
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
Congratulations! 🎉
You’ve completed the B-Bot Workshop Series!
What You’ve Learned
1. Platform
Ecosystem & navigation
2. Experts
Creating experts
4. Training
Training & fine-tuning
5. DeepAgents
Autonomous agents
8. Advanced
Enterprise features
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
