chore: consolidate Syslog Solution code into unified repository structure
- Moved scattered scripts, templates, and documentation into organized directories (applications/, scripts/, assets/). - Updated .gitignore to strictly exclude secrets, state files, and IDE configs. - Added comprehensive README.md outlining repository structure and best practices. - Preserved all existing documentation and technical architecture files. - Prepared infrastructure/ for AWS Org and Proxmox Terraform management.
This commit is contained in:
@@ -0,0 +1,46 @@
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# 01 - Proxmox & VM Passthrough — Home
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||||
**Purpose:** Complete setup guide for Proxmox VM passthrough with optimal resource allocation.
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||||
## Topics Covered
|
||||
|
||||
- **GPU Passthrough:** Configure AMD/Intel/NVIDIA GPUs for VM access
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- **NVMe Passthrough:** Pass NVMe drives to VMs for high I/O performance
|
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- **USB Passthrough:** Connect USB devices (webcams, dongles, etc.) to VMs
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- **Networking:** Bridge networking, VLANs, and virtual switches
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- **Resource Allocation:** CPU cores, RAM, and storage optimization
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||||
|
||||
## Related Guides
|
||||
|
||||
- **[00 - Proxmox & VM Passthrough](00 - Proxmox & VM Passthrough.md)** — This overview document
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||||
- **[03 - AMD GPU Passthrough](../03\ -\ AMD\ GPU\ Passthrough/)** — AMD-specific setup
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||||
|
||||
## Quick Start
|
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|
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### Create a VM with GPU Passthrough
|
||||
|
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```bash
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# Step 1: Find available GPU
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rocm-smi | grep "GPU" # AMD
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nvidia-smi # NVIDIA
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||||
# Step 2: Create VM with GPU passthrough
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qm create 100 --name qwen-vm --memory 32768 --cores 8 --arch x86_64
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||||
qm set 100 --hostpci0=0000:03:00.0,pcie=1,x-vga=1 # AMD example
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||||
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# Step 3: Install QEMU Guest Agent
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apt install qemu-guest-agent
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# Step 4: Reboot VM
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qm reboot 100
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```
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|
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## Best Practices
|
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|
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1. **IOMMU Groups:** Always check if devices are in separate IOMMU groups
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2. **VFIO Modules:** Ensure `vfio-pci` module is loaded before boot
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||||
3. **PCIe Hotplug:** Disable for stability unless required
|
||||
4. **Memory Ballooning:** Disable in VM for consistent performance
|
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|
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---
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*This guide is essential for GPU passthrough to VMs running LLM inference workloads.*
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@@ -0,0 +1,18 @@
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# 03 - AI AGENTS & LEARNING — Home
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**Purpose:** AI agent frameworks, learning resources, and implementation guides.
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## Contents
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||||
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||||
### **01 - Claude Code & Opencode** — Agent framework tutorials and best practices.
|
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|
||||
### **02 - OpenClaw Framework** — Open-source agent orchestration platform setup and usage.
|
||||
|
||||
### **03 - MCP (Model Context Protocol)** — Integration guides for connecting LLMs to external tools and data sources.
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||||
|
||||
### **04 - Autonomous AI Agents** — Research and implementation of autonomous agent workflows.
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||||
|
||||
### **05 - Agent Research & Learning** — Papers, YouTube tutorials, podcasts, and general learning resources.
|
||||
|
||||
---
|
||||
|
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*This section pairs conceptual guides with their implementation scripts for rapid prototyping and deployment.*
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# 01 - BUSINESS & STRATEGY — Home
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**Purpose:** Business strategy, market analysis, and growth planning for Syslog GH/LLC.
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|
||||
## Core Areas
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|
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### Customer Acquisition
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- SMB-focused AI consulting (Discovery-first approach)
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- Tech Edge Partnerships (AWS, GitHub, Cloudflare)
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- Ghana market entry strategy
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- LinkedIn organic growth campaigns
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|
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### Service Lines
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- $299/mo AI Navigation Partner
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- $399/mo AI Agent Deployment
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- $1.5-5K Custom Implementation Projects
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- 70-80% recurring revenue target
|
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|
||||
### Strategic Differentiators
|
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- Privacy-focused AI (local deployment, minimal data collection)
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- OpenMAIC education framework
|
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- Brother co-founders (Jerome & Theodore) for dual expertise
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- Open-source community positioning
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|
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### Target Markets
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1. **Ghana:** AI adoption gap (65% SMB adoption, 87% data concerns)
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2. **US:** Discovery-first AI services ($2.5B addressable market)
|
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3. **Remote:** Distributed workforce support
|
||||
|
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### Competitive Landscape
|
||||
- **Traditional IT Firms:** Lack AI expertise; high cost
|
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- **Pure Play AI Agencies:** Overkill pricing ($10K+ minimums)
|
||||
- **Freelancers:** Inconsistent quality, no ongoing support
|
||||
- **Our Edge:** Balanced pricing, local context, privacy focus
|
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|
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## Financial Model
|
||||
|
||||
### Revenue Streams
|
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1. **Monthly Retainers:** $299-399/mo (AI Navigation/Agent)
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2. **Project Fees:** $1.5-5K (custom implementations)
|
||||
3. **Training:** $500-2K (workshops, team upskilling)
|
||||
4. **Partnerships:** Revenue share with tech partners
|
||||
|
||||
### Cost Structure
|
||||
- **Personnel:** 70% (founder salaries, contractor fees)
|
||||
- **Infrastructure:** 15% (AWS, Proxmox, software tools)
|
||||
- **Marketing:** 10% (ads, content, partnerships)
|
||||
- **Operations:** 5% (legal, accounting, admin)
|
||||
|
||||
### Projections (Year 1)
|
||||
- **Q1:** $5K revenue (pilot projects, early adopters)
|
||||
- **Q2:** $15K revenue (scaled services, referrals)
|
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- **Q3:** $30K revenue (established pipeline, partnerships)
|
||||
- **Q4:** $50K revenue (recurring revenue dominance)
|
||||
- **Year 1 Total:** $100K revenue target
|
||||
|
||||
## Growth Strategy
|
||||
|
||||
### Phase 1: Foundation (Months 1-3)
|
||||
- Complete 3 pilot projects
|
||||
- Build case studies and testimonials
|
||||
- Establish basic operational processes
|
||||
- Secure 2-3 anchor clients
|
||||
|
||||
### Phase 2: Scale (Months 4-9)
|
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- Hire first contractor/employee
|
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- Systematize service delivery
|
||||
- Expand to 10+ active clients
|
||||
- Develop partner network
|
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|
||||
### Phase 3: Expand (Months 10-12)
|
||||
- Add new service lines
|
||||
- Explore product opportunities
|
||||
- Consider geographic expansion
|
||||
- Build team to 3-5 people
|
||||
|
||||
## Key Performance Indicators (KPIs)
|
||||
|
||||
### Financial KPIs
|
||||
- Monthly Recurring Revenue (MRR)
|
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- Customer Acquisition Cost (CAC)
|
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- Lifetime Value (LTV)
|
||||
- Gross Margin
|
||||
|
||||
### Operational KPIs
|
||||
- Client Satisfaction Score (CSAT)
|
||||
- Project Delivery Time
|
||||
- First Contact Resolution Rate
|
||||
- Employee Satisfaction
|
||||
|
||||
### Growth KPIs
|
||||
- New Clients per Month
|
||||
- Referral Rate
|
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- Partnership Growth
|
||||
- Market Share
|
||||
|
||||
## Risk Assessment
|
||||
|
||||
### High Risks
|
||||
- **Market Timing:** AI adoption in Ghana slower than expected
|
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- **Competition:** Larger firms entering the space
|
||||
- **Talent:** Difficulty finding skilled AI practitioners
|
||||
- **Cash Flow:** Irregular project-based income initially
|
||||
|
||||
### Mitigation Strategies
|
||||
- **Diversify:** Mix of retainer and project work
|
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- **Specialize:** Focus on privacy and local context
|
||||
- **Partner:** Leverage tech partnerships for credibility
|
||||
- **Buffer:** Maintain 6-month runway in reserves
|
||||
|
||||
## Next Steps
|
||||
|
||||
### Immediate (Next 30 Days)
|
||||
1. Finalize service packaging and pricing
|
||||
2. Create sales collateral and website updates
|
||||
3. Identify and reach out to 10 potential pilot clients
|
||||
4. Set up project management and communication systems
|
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|
||||
### Short-term (Next 90 Days)
|
||||
1. Secure 3 pilot projects
|
||||
2. Develop case study template
|
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3. Establish partner referral program
|
||||
4. Create basic training materials
|
||||
|
||||
### Medium-term (Next 6 Months)
|
||||
1. Systematize onboarding process
|
||||
2. Hire first support/development resource
|
||||
3. Expand service offerings based on feedback
|
||||
4. Build recurring revenue to 50% of total
|
||||
|
||||
---
|
||||
|
||||
*This document is a living strategy guide for Syslog Solution LLC. Review and update quarterly.*
|
||||
@@ -0,0 +1,194 @@
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||||
# Client Onboarding Process
|
||||
|
||||
## 🎯 Purpose
|
||||
Standardized process for onboarding new clients to ensure consistent, high-quality service delivery and clear expectations.
|
||||
|
||||
## 📋 Pre-Onboarding Checklist
|
||||
|
||||
### Initial Contact & Qualification
|
||||
- [ ] **Initial Discovery Call** (30-45 minutes)
|
||||
- Understand client's business and challenges
|
||||
- Identify potential automation opportunities
|
||||
- Determine project scope and budget range
|
||||
- [ ] **Follow-up Email**
|
||||
- Send meeting summary and next steps
|
||||
- Request any additional information needed
|
||||
- [ ] **Proposal Development**
|
||||
- Create customized proposal based on discovery
|
||||
- Include scope, timeline, deliverables, pricing
|
||||
- [ ] **Proposal Review Meeting**
|
||||
- Present proposal and address questions
|
||||
- Discuss implementation approach
|
||||
|
||||
### Contract & Agreement
|
||||
- [ ] **Contract Preparation**
|
||||
- Service Level Agreement (SLA)
|
||||
- Non-Disclosure Agreement (NDA)
|
||||
- Statement of Work (SOW)
|
||||
- [ ] **Contract Review & Signing**
|
||||
- Client reviews and signs documents
|
||||
- Collect initial payment (if applicable)
|
||||
- [ ] **Account Setup**
|
||||
- Create client folder in customers/active/
|
||||
- Set up project management board
|
||||
- Configure communication channels
|
||||
|
||||
## 🚀 Onboarding Phase 1: Kickoff (Week 1)
|
||||
|
||||
### Day 1: Project Setup
|
||||
- [ ] **Internal Kickoff Meeting**
|
||||
- Review project scope and objectives
|
||||
- Assign team roles and responsibilities
|
||||
- Set up project infrastructure
|
||||
- [ ] **Client Welcome Package**
|
||||
- Send welcome email with next steps
|
||||
- Provide access to customer portal
|
||||
- Share communication protocols
|
||||
|
||||
### Day 2-3: Technical Discovery
|
||||
- [ ] **Technical Assessment**
|
||||
- Review existing systems and infrastructure
|
||||
- Identify integration points and dependencies
|
||||
- Assess security and compliance requirements
|
||||
- [ ] **Environment Setup**
|
||||
- Configure development environments
|
||||
- Set up version control and CI/CD
|
||||
- Establish backup and recovery procedures
|
||||
|
||||
### Day 4-5: Planning & Alignment
|
||||
- [ ] **Detailed Project Plan**
|
||||
- Break down deliverables into tasks
|
||||
- Create timeline with milestones
|
||||
- Identify risks and mitigation strategies
|
||||
- [ ] **Client Alignment Meeting**
|
||||
- Review project plan and timeline
|
||||
- Confirm understanding and expectations
|
||||
- Address any concerns or questions
|
||||
|
||||
## 🔧 Onboarding Phase 2: Implementation (Weeks 2-4)
|
||||
|
||||
### Week 2: Foundation Setup
|
||||
- [ ] **Infrastructure Deployment**
|
||||
- Set up cloud resources (AWS/Proxmox)
|
||||
- Configure networking and security
|
||||
- Deploy monitoring and logging
|
||||
- [ ] **Development Environment**
|
||||
- Set up code repositories
|
||||
- Configure CI/CD pipeline
|
||||
- Establish testing framework
|
||||
|
||||
### Week 3: Core Development
|
||||
- [ ] **Feature Implementation**
|
||||
- Develop core functionality
|
||||
- Implement integrations
|
||||
- Create documentation
|
||||
- [ ] **Client Review Checkpoint**
|
||||
- Demo progress to client
|
||||
- Gather feedback and adjust
|
||||
- Confirm alignment with expectations
|
||||
|
||||
### Week 4: Testing & Refinement
|
||||
- [ ] **Quality Assurance**
|
||||
- Conduct comprehensive testing
|
||||
- Perform security scanning
|
||||
- Optimize performance
|
||||
- [ ] **Client Training**
|
||||
- Provide system training
|
||||
- Create user documentation
|
||||
- Establish support procedures
|
||||
|
||||
## 🎉 Onboarding Phase 3: Launch & Transition (Week 5)
|
||||
|
||||
### Launch Preparation
|
||||
- [ ] **Final Testing**
|
||||
- User acceptance testing (UAT)
|
||||
- Load and performance testing
|
||||
- Security validation
|
||||
- [ ] **Launch Plan**
|
||||
- Define go-live checklist
|
||||
- Schedule launch date and time
|
||||
- Prepare rollback plan
|
||||
|
||||
### Launch Execution
|
||||
- [ ] **Production Deployment**
|
||||
- Deploy to production environment
|
||||
- Monitor system performance
|
||||
- Address any immediate issues
|
||||
- [ ] **Post-Launch Support**
|
||||
- Provide immediate post-launch support
|
||||
- Monitor system for 48 hours
|
||||
- Address any critical issues
|
||||
|
||||
### Transition to Support
|
||||
- [ ] **Knowledge Transfer**
|
||||
- Document system architecture
|
||||
- Create operational runbooks
|
||||
- Train support team (if applicable)
|
||||
- [ ] **Support Handoff**
|
||||
- Transition to ongoing support team
|
||||
- Establish support escalation path
|
||||
- Schedule regular check-ins
|
||||
|
||||
## 📊 Success Metrics
|
||||
|
||||
### Quantitative Metrics
|
||||
- **Time to First Value**: < 2 weeks for initial deliverable
|
||||
- **Project On Time**: 90% of projects delivered on schedule
|
||||
- **Client Satisfaction**: > 4.5/5 average rating
|
||||
- **Issue Resolution**: < 24 hours for critical issues
|
||||
|
||||
### Qualitative Metrics
|
||||
- **Clear Communication**: Regular updates and transparency
|
||||
- **Expectation Alignment**: Client understands what to expect
|
||||
- **Quality Delivery**: Solutions meet or exceed requirements
|
||||
- **Relationship Building**: Strong foundation for ongoing partnership
|
||||
|
||||
## 🛠 Tools & Templates
|
||||
|
||||
### Required Templates
|
||||
- [ ] Discovery Call Questionnaire
|
||||
- [ ] Proposal Template
|
||||
- [ ] Contract Templates (SLA, NDA, SOW)
|
||||
- [ ] Project Plan Template
|
||||
- [ ] Status Report Template
|
||||
- [ ] Client Feedback Form
|
||||
|
||||
### Systems & Tools
|
||||
- **Project Management**: Linear, Trello, or similar
|
||||
- **Communication**: Slack/Telegram, Email, Video calls
|
||||
- **Documentation**: This repository, Google Docs
|
||||
- **Development**: GitHub, Docker, Terraform
|
||||
- **Support**: Help desk system, monitoring tools
|
||||
|
||||
## 🔄 Continuous Improvement
|
||||
|
||||
### Feedback Collection
|
||||
- **Post-Project Review**: Internal review of what worked well
|
||||
- **Client Feedback**: Formal feedback after project completion
|
||||
- **Process Evaluation**: Quarterly review of onboarding process
|
||||
|
||||
### Process Updates
|
||||
- **Monthly Review**: Update templates and checklists
|
||||
- **Quarterly Audit**: Comprehensive process review
|
||||
- **Annual Overhaul**: Major process improvement cycle
|
||||
|
||||
## 📞 Emergency Contacts
|
||||
|
||||
### Technical Escalation
|
||||
- **Primary**: Jerome Tabiri (@mejerome19)
|
||||
- **Secondary**: AI Agent Support (Hermes)
|
||||
- **Infrastructure**: AWS Support, Proxmox Community
|
||||
|
||||
### Client Communication
|
||||
- **Primary Contact**: Designated client representative
|
||||
- **Backup Contact**: Secondary client contact
|
||||
- **Emergency**: Phone number for critical issues
|
||||
|
||||
---
|
||||
|
||||
**Last Updated**: April 2026
|
||||
**Version**: 1.0
|
||||
**Owner**: Jerome Tabiri
|
||||
**Next Review**: July 2026
|
||||
|
||||
*This document is proprietary to Syslog Solution LLC. Unauthorized distribution prohibited.*
|
||||
@@ -0,0 +1,90 @@
|
||||
# 02 - TECHNICAL INFRASTRUCTURE — Overview
|
||||
**Purpose:** Complete technical guide for Syslog infrastructure, GPU passthrough, and model deployment.
|
||||
|
||||
## Infrastructure Components
|
||||
|
||||
### **01 - Proxmox & VM Passthrough**
|
||||
- GPU passthrough configuration (AMD/Intel)
|
||||
- VM networking setup
|
||||
- Resource allocation best practices
|
||||
|
||||
### **02 - GPU Monitoring**
|
||||
- Grafana dashboards for GPU telemetry
|
||||
- ROCm monitoring setup
|
||||
- Real-time performance tracking
|
||||
|
||||
### **03 - AMD GPU Passthrough (Strix Halo)**
|
||||
- Detailed AMD APU passthrough for host LLM access
|
||||
- Vulkan driver configuration
|
||||
- HIP SDK integration
|
||||
|
||||
### **04 - Qwen3.5 Model Setup**
|
||||
- Qwen3.5-MoE (Mixture of Experts) installation
|
||||
- Vulkan backend optimization
|
||||
- Production inference configuration
|
||||
|
||||
### **05 - AWS Cloud Infrastructure**
|
||||
|
||||
### **06 - Troubleshooting**
|
||||
- Common issues and resolutions
|
||||
- Debugging methodology
|
||||
- Emergency procedures
|
||||
- VPC and networking architecture
|
||||
- EC2 instance configuration for AI workloads
|
||||
- S3 data pipeline setup
|
||||
- Cost optimization strategies
|
||||
|
||||
## Deployment Standards
|
||||
|
||||
- **GPU Access:** AMD Strix Halo for host inference, NVIDIA for training
|
||||
- **Model Hosting:** Ollama local deployment @ 192.168.68.8:8080
|
||||
- **Cloud:** AWS for scalable cloud workloads
|
||||
- **Storage:** S3 for model weights and datasets
|
||||
- **Monitoring:** Grafana + Prometheus for observability
|
||||
|
||||
## Common Operations
|
||||
|
||||
### Start Qwen3.5-MoE
|
||||
```bash
|
||||
ollama pull qwen3.5:250b-moe
|
||||
ollama serve --model qwen3.5:250b-moe
|
||||
```
|
||||
|
||||
### Check GPU Status
|
||||
```bash
|
||||
# AMD
|
||||
rocm-smi
|
||||
watch -n 5 rocm-smi
|
||||
|
||||
# NVIDIA
|
||||
nvidia-smi
|
||||
watch -n 5 nvidia-smi
|
||||
```
|
||||
|
||||
### Deploy New Agent
|
||||
```bash
|
||||
# Clone agent repository
|
||||
git clone https://github.com/sysloggh/agent-template.git
|
||||
cd agent-template
|
||||
|
||||
# Configure environment
|
||||
cp .env.example .env
|
||||
# Edit .env with API keys and settings
|
||||
|
||||
# Install dependencies
|
||||
pip install -r requirements.txt
|
||||
|
||||
# Deploy
|
||||
source venv/bin/activate
|
||||
python main.py
|
||||
```
|
||||
|
||||
## Related Documentation
|
||||
|
||||
- [Business Strategy](../01\ -\ BUSINESS\ \&\ STRATEGY/00\ -\ Business Strategy Home.md)
|
||||
- [AI Agents Framework](../03\ -\ AI\ AGENTS\ \&\ LEARNING/00\ -\ AI Agents Learning Home.md)
|
||||
- [Operational Excellence](../05\ -\ OPERATIONAL\ EXCELLENCE/00\ -\ Operational Excellence Home.md)
|
||||
|
||||
---
|
||||
|
||||
*This section pairs implementation guides with their respective scripts for rapid deployment.*
|
||||
@@ -0,0 +1,82 @@
|
||||
# Documentation Migration Summary
|
||||
|
||||
## Current Status
|
||||
- **Last Updated:** 2026-05-02 18:16:00
|
||||
- **Total Graph Nodes:** 171
|
||||
- **Total Graph Edges:** 117
|
||||
- **Documentation Files Processed:** 29 (excluding this summary)
|
||||
- **Migration Status:** COMPLETE — All source files accounted for
|
||||
|
||||
## Migration History
|
||||
|
||||
### Batch 1 (April 27, 2026)
|
||||
- Migrated core documentation files
|
||||
- Created ~25 nodes for business strategy, technical architecture, operations
|
||||
- Total nodes at completion: ~138
|
||||
|
||||
### Batch 2 (May 1, 2026)
|
||||
- Migrated templates and additional technical docs
|
||||
- Created ~42 nodes
|
||||
- Total nodes at completion: ~160
|
||||
|
||||
### Batch 3 (May 2, 2026)
|
||||
- Migrated AI agents framework documentation
|
||||
- Created 8 new nodes:
|
||||
- #180: Business Strategy & Vision — Home
|
||||
- #181: Technical Architecture — Overview
|
||||
- #182: Autonomous AI Agents — Home
|
||||
- #183: Claude Code & Opencode — Home
|
||||
- #184: MCP (Model Context Protocol) — Home
|
||||
- #185: OpenClaw Framework — Home
|
||||
- #186: OpenMAIC Education — Home
|
||||
- #187: Qwen3.5 Model Setup — Home
|
||||
- Total nodes at completion: 168
|
||||
|
||||
### Batch 4 (May 2, 2026 — Cron Check)
|
||||
- Ran full deduplication audit against graph
|
||||
- Verified all 29 source files have matching nodes in graph
|
||||
- **0 new nodes needed** — migration complete
|
||||
- Total nodes now: 169 (includes 1 non-documentation node added independently)
|
||||
|
||||
### Batch 5 (May 2, 2026 — Evening Cron Validation)
|
||||
- Full deduplication audit re-run
|
||||
- **0 new documentation nodes needed** — all 29 files still accounted for
|
||||
- Total nodes now: 171 (2 additional non-documentation nodes: relay messages, audit logs)
|
||||
- **Stale content detected** (requires manual review):
|
||||
- Node #163 (Technical Infrastructure): Ollama reference → should be llama.cpp
|
||||
- Node #187 (Qwen3.5 Model Setup): Ollama reference + CUDA-only → should include ROCm for AMD GPU
|
||||
- **Limitation:** Native API (3000) does not support PATCH for node updates — stale content fixes require full node replacement or manual intervention
|
||||
|
||||
## Files Migrated by Category
|
||||
|
||||
| Category | Files | Status |
|
||||
|----------|-------|--------|
|
||||
| 01-business-strategy | 2 | ✅ Migrated |
|
||||
| 02-technical-architecture | 14 | ✅ Migrated |
|
||||
| 03-operations | 4 | ✅ Migrated |
|
||||
| 04-customer-portal | 1 | ✅ Migrated |
|
||||
| 05-development | 1 | ✅ Migrated |
|
||||
| templates | 7 | ✅ Migrated |
|
||||
| **Total** | **29** | **COMPLETE** |
|
||||
|
||||
## Deduplication Method
|
||||
- Path-based deduplication using `metadata.source_file`
|
||||
- Title-based deduplication abandoned (unreliable due to heading changes)
|
||||
- All 29 source files verified against existing graph nodes
|
||||
|
||||
## Validation
|
||||
- Live system validation performed before each migration batch
|
||||
- Proxmox cluster health checked
|
||||
- VM and storage inventories verified
|
||||
- GPU assignments confirmed (acerpve=RTX 3090, amdpve=AMD Strix Halo 395)
|
||||
|
||||
## Stale Content Findings (May 2, 2026)
|
||||
- **Node #163** (Technical Infrastructure Overview): Contains "Ollama" reference — should be "llama.cpp"
|
||||
- **Node #187** (Qwen3.5 Model Setup): Contains "Ollama" reference AND CUDA-only mention — should include ROCm for AMD Strix Halo GPU
|
||||
- **Action Required:** Manual review and update of these nodes (API limitation prevents automated PATCH)
|
||||
|
||||
## Notes
|
||||
- No new documentation files detected since last migration
|
||||
- Graph growing due to non-documentation content (relay messages, audits, lessons)
|
||||
- Next scheduled check: weekly cron
|
||||
- **API Limitation:** Native API (3000) supports POST for creation but not PATCH for updates. MCP bridge (3100) `createNode` returns 404. Node updates require full replacement or manual intervention.
|
||||
@@ -0,0 +1,34 @@
|
||||
# 04 Customer Portal
|
||||
|
||||
## 📋 Overview
|
||||
This section contains customer-facing documentation, getting started guides, API documentation, and support resources.
|
||||
|
||||
## 🚧 Under Construction
|
||||
This documentation section is currently being developed. Content will be added as part of the repository reorganization project.
|
||||
|
||||
## 📁 Planned Structure
|
||||
```
|
||||
04-customer-portal/
|
||||
├── README.md # This file
|
||||
├── [content directories] # To be defined
|
||||
└── [template files] # To be defined
|
||||
```
|
||||
|
||||
## 🎯 Objectives
|
||||
- [ ] Define section structure
|
||||
- [ ] Create comprehensive documentation
|
||||
- [ ] Develop templates and standards
|
||||
- [ ] Integrate with overall documentation system
|
||||
|
||||
## 📅 Timeline
|
||||
- **Start Date**: April 2026
|
||||
- **Target Completion**: May 2026
|
||||
- **Owner**: Jerome Tabiri
|
||||
|
||||
## 🔗 Related Sections
|
||||
- Check other documentation sections for completed content
|
||||
- Refer to the root README for overall repository structure
|
||||
|
||||
---
|
||||
|
||||
*This documentation section is under development as part of Syslog Solution LLC's repository reorganization project.*
|
||||
@@ -0,0 +1,228 @@
|
||||
# Support Processes & Procedures
|
||||
|
||||
## 🎯 Purpose
|
||||
Standardized procedures for providing technical support to clients, ensuring consistent, timely, and effective issue resolution.
|
||||
|
||||
## 📞 Support Channels & Hours
|
||||
|
||||
### Primary Support Channels
|
||||
1. **Email Support**
|
||||
- Address: support@sysloggh.com
|
||||
- Response Time: < 4 business hours
|
||||
- Use for: Non-urgent issues, documentation requests
|
||||
|
||||
2. **Telegram Support**
|
||||
- Channel: @mejerome19
|
||||
- Response Time: < 2 hours
|
||||
- Use for: Technical questions, configuration help
|
||||
|
||||
3. **Emergency Phone**
|
||||
- Number: [Provided to clients separately]
|
||||
- Response Time: < 30 minutes
|
||||
- Use for: Critical system outages, security incidents
|
||||
|
||||
### Support Hours
|
||||
- **Standard Hours**: Monday-Friday, 9:00 AM - 6:00 PM GMT
|
||||
- **Extended Support**: Available for premium clients
|
||||
- **Emergency Support**: 24/7 for critical issues (additional charges may apply)
|
||||
|
||||
## 🚨 Incident Severity Levels
|
||||
|
||||
### Level 1: Critical
|
||||
- **Definition**: Complete system outage, security breach, data loss
|
||||
- **Response Time**: < 30 minutes
|
||||
- **Resolution Target**: < 4 hours
|
||||
- **Examples**:
|
||||
- Production system completely down
|
||||
- Security breach detected
|
||||
- Critical data corruption
|
||||
|
||||
### Level 2: High
|
||||
- **Definition**: Major functionality impaired, significant performance issues
|
||||
- **Response Time**: < 2 hours
|
||||
- **Resolution Target**: < 8 business hours
|
||||
- **Examples**:
|
||||
- Key feature not working
|
||||
- Severe performance degradation
|
||||
- Integration failure
|
||||
|
||||
### Level 3: Medium
|
||||
- **Definition**: Minor functionality issues, non-critical bugs
|
||||
- **Response Time**: < 4 business hours
|
||||
- **Resolution Target**: < 2 business days
|
||||
- **Examples**:
|
||||
- UI display issues
|
||||
- Minor feature bugs
|
||||
- Configuration questions
|
||||
|
||||
### Level 4: Low
|
||||
- **Definition**: General questions, enhancement requests, documentation
|
||||
- **Response Time**: < 8 business hours
|
||||
- **Resolution Target**: < 5 business days
|
||||
- **Examples**:
|
||||
- How-to questions
|
||||
- Feature requests
|
||||
- Documentation updates
|
||||
|
||||
## 🔧 Support Workflow
|
||||
|
||||
### Step 1: Ticket Creation & Triage
|
||||
1. **Receive Request**: Client submits via email, Telegram, or phone
|
||||
2. **Log Ticket**: Create ticket in support system with:
|
||||
- Client name and contact information
|
||||
- Issue description and severity level
|
||||
- Any error messages or screenshots
|
||||
3. **Initial Triage**:
|
||||
- Assign severity level
|
||||
- Route to appropriate team member
|
||||
- Send acknowledgment to client
|
||||
|
||||
### Step 2: Investigation & Diagnosis
|
||||
1. **Gather Information**:
|
||||
- System logs and error messages
|
||||
- Recent changes or deployments
|
||||
- Client environment details
|
||||
2. **Reproduce Issue**:
|
||||
- Attempt to reproduce in test environment
|
||||
- Identify root cause
|
||||
- Document findings
|
||||
|
||||
### Step 3: Resolution & Implementation
|
||||
1. **Develop Solution**:
|
||||
- Create fix or workaround
|
||||
- Test in isolated environment
|
||||
- Prepare deployment plan
|
||||
2. **Client Communication**:
|
||||
- Provide status update
|
||||
- Explain solution and timeline
|
||||
- Get client approval if needed
|
||||
3. **Implement Fix**:
|
||||
- Deploy during maintenance window if possible
|
||||
- Monitor for issues
|
||||
- Verify resolution
|
||||
|
||||
### Step 4: Verification & Closure
|
||||
1. **Client Verification**:
|
||||
- Confirm issue is resolved
|
||||
- Gather client feedback
|
||||
- Document any follow-up actions
|
||||
2. **Ticket Closure**:
|
||||
- Update ticket with resolution details
|
||||
- Add to knowledge base if applicable
|
||||
- Send closure notification to client
|
||||
3. **Post-Mortem** (for critical issues):
|
||||
- Root cause analysis
|
||||
- Process improvement recommendations
|
||||
- Update documentation
|
||||
|
||||
## 📊 Support Metrics & Reporting
|
||||
|
||||
### Key Performance Indicators (KPIs)
|
||||
1. **First Response Time**: Time to first contact after ticket creation
|
||||
- Target: < 2 hours for all severity levels
|
||||
2. **Resolution Time**: Time to complete resolution
|
||||
- Target: Meet severity-level targets (see above)
|
||||
3. **Customer Satisfaction**: Client feedback scores
|
||||
- Target: > 4.5/5 average rating
|
||||
4. **First Contact Resolution**: Issues resolved on first contact
|
||||
- Target: > 70% of tickets
|
||||
5. **Ticket Volume**: Number of tickets by type and severity
|
||||
- Use for: Capacity planning and process improvement
|
||||
|
||||
### Monthly Reporting
|
||||
- **Executive Summary**: High-level metrics and trends
|
||||
- **Detailed Analysis**: Ticket breakdown by type, severity, resolution time
|
||||
- **Client Feedback**: Summary of client satisfaction and comments
|
||||
- **Improvement Initiatives**: Actions taken based on feedback
|
||||
|
||||
## 🛠 Support Tools & Systems
|
||||
|
||||
### Ticketing System
|
||||
- **Primary**: Linear (for internal tracking)
|
||||
- **Client-Facing**: Email with automated ticket creation
|
||||
- **Backup**: Simple spreadsheet for critical outages
|
||||
|
||||
### Monitoring & Alerting
|
||||
- **Infrastructure**: AWS CloudWatch, Proxmox monitoring
|
||||
- **Application**: Custom health checks, error tracking
|
||||
- **Alerting**: Telegram bots, email notifications
|
||||
|
||||
### Knowledge Management
|
||||
- **Internal**: This documentation repository
|
||||
- **Client-Facing**: Customer portal documentation
|
||||
- **Troubleshooting Guides**: Step-by-step resolution procedures
|
||||
|
||||
### Communication Tools
|
||||
- **Client Communication**: Email, Telegram, scheduled calls
|
||||
- **Internal Coordination**: Slack/Telegram for team communication
|
||||
- **Status Updates**: Automated status pages for outages
|
||||
|
||||
## 🎓 Training & Documentation
|
||||
|
||||
### Support Team Training
|
||||
1. **New Hire Training**: 2-week onboarding program
|
||||
2. **Product Knowledge**: Regular updates on new features
|
||||
3. **Technical Skills**: Ongoing training on systems and tools
|
||||
4. **Soft Skills**: Communication and customer service training
|
||||
|
||||
### Client Documentation
|
||||
1. **Getting Started Guides**: Initial setup and configuration
|
||||
2. **Troubleshooting Guides**: Common issues and solutions
|
||||
3. **Best Practices**: Recommendations for optimal use
|
||||
4. **API Documentation**: Technical reference for developers
|
||||
|
||||
## 🔄 Continuous Improvement
|
||||
|
||||
### Feedback Mechanisms
|
||||
1. **Client Feedback**: Post-resolution satisfaction surveys
|
||||
2. **Team Feedback**: Regular retrospectives on support processes
|
||||
3. **Metrics Analysis**: Monthly review of KPIs and trends
|
||||
|
||||
### Process Improvements
|
||||
1. **Monthly Review**: Identify and implement small improvements
|
||||
2. **Quarterly Audit**: Comprehensive process evaluation
|
||||
3. **Annual Planning**: Major initiatives for the coming year
|
||||
|
||||
### Knowledge Base Maintenance
|
||||
1. **Weekly Updates**: Add new solutions and updates
|
||||
2. **Monthly Cleanup**: Remove outdated information
|
||||
3. **Quarterly Review**: Comprehensive knowledge base audit
|
||||
|
||||
## 🚨 Emergency Procedures
|
||||
|
||||
### Critical Outage Response
|
||||
1. **Immediate Actions**:
|
||||
- Notify all relevant team members
|
||||
- Establish communication channel with client
|
||||
- Begin investigation immediately
|
||||
2. **Communication Protocol**:
|
||||
- Hourly updates until resolution
|
||||
- Clear, concise status information
|
||||
- Designated spokesperson
|
||||
3. **Post-Outage Review**:
|
||||
- Root cause analysis within 24 hours
|
||||
- Client debrief within 48 hours
|
||||
- Process improvements within 1 week
|
||||
|
||||
### Security Incident Response
|
||||
1. **Immediate Containment**:
|
||||
- Isolate affected systems
|
||||
- Preserve evidence for investigation
|
||||
- Notify security team
|
||||
2. **Investigation & Remediation**:
|
||||
- Identify scope of breach
|
||||
- Remove malicious access
|
||||
- Restore from clean backups
|
||||
3. **Communication & Reporting**:
|
||||
- Internal incident report
|
||||
- Client notification (if their data affected)
|
||||
- Regulatory reporting (if required)
|
||||
|
||||
---
|
||||
|
||||
**Last Updated**: April 2026
|
||||
**Version**: 1.0
|
||||
**Owner**: Jerome Tabiri
|
||||
**Next Review**: July 2026
|
||||
|
||||
*This document is proprietary to Syslog Solution LLC. Unauthorized distribution prohibited.*
|
||||
@@ -0,0 +1,124 @@
|
||||
# 06 - TROUBLESHOOTING — Home
|
||||
**Purpose:** Common issues, error resolutions, and debugging guides for Syslog infrastructure.
|
||||
|
||||
## Overview
|
||||
|
||||
This section provides solutions for common technical problems across the Syslog infrastructure stack. Each guide includes symptoms, root causes, and step-by-step fixes.
|
||||
|
||||
## Troubleshooting Categories
|
||||
|
||||
### **Proxmox & Virtualization**
|
||||
- VM won't start or crashes
|
||||
- GPU passthrough failures
|
||||
- Network connectivity issues
|
||||
- Storage performance problems
|
||||
- Resource allocation errors
|
||||
|
||||
### **GPU & Hardware**
|
||||
- AMD GPU detection failures
|
||||
- ROCm driver installation issues
|
||||
- Temperature and cooling problems
|
||||
- Performance degradation
|
||||
- Compatibility issues
|
||||
|
||||
### **AWS Cloud**
|
||||
- EC2 instance connectivity
|
||||
- S3 bucket access errors
|
||||
- VPC networking issues
|
||||
- Cost overrun alerts
|
||||
- Security group misconfigurations
|
||||
|
||||
### **AI Agents & Models**
|
||||
- Model loading failures
|
||||
- Inference performance issues
|
||||
- Agent communication errors
|
||||
- API connectivity problems
|
||||
- Memory allocation errors
|
||||
|
||||
### **Networking & Security**
|
||||
- Firewall blocking issues
|
||||
- DNS resolution failures
|
||||
- SSL/TLS certificate problems
|
||||
- Authentication errors
|
||||
- Rate limiting and throttling
|
||||
|
||||
## Troubleshooting Methodology
|
||||
|
||||
### **Step 1: Gather Information**
|
||||
- Error messages and logs
|
||||
- System status and metrics
|
||||
- Recent changes or updates
|
||||
- User reports and symptoms
|
||||
|
||||
### **Step 2: Isolate the Problem**
|
||||
- Reproduce the issue
|
||||
- Identify affected components
|
||||
- Check dependencies and connections
|
||||
- Verify configurations
|
||||
|
||||
### **Step 3: Diagnose Root Cause**
|
||||
- Check logs and monitoring
|
||||
- Test individual components
|
||||
- Compare with known working state
|
||||
- Identify configuration drift
|
||||
|
||||
### **Step 4: Apply Fix**
|
||||
- Implement solution
|
||||
- Test thoroughly
|
||||
- Document the fix
|
||||
- Update monitoring alerts
|
||||
|
||||
### **Step 5: Prevent Recurrence**
|
||||
- Update documentation
|
||||
- Add monitoring checks
|
||||
- Create automation scripts
|
||||
- Train team members
|
||||
|
||||
## Quick Reference
|
||||
|
||||
### **Common Commands**
|
||||
```bash
|
||||
# Check system logs
|
||||
journalctl -xe --no-pager | tail -100
|
||||
|
||||
# Check GPU status
|
||||
rocm-smi
|
||||
nvidia-smi
|
||||
|
||||
# Check network connectivity
|
||||
ping -c 4 8.8.8.8
|
||||
traceroute google.com
|
||||
|
||||
# Check disk space
|
||||
df -h
|
||||
du -sh /path/to/directory
|
||||
|
||||
# Check running processes
|
||||
top -b -n 1 | head -20
|
||||
ps aux | grep -i process_name
|
||||
```
|
||||
|
||||
### **Log Locations**
|
||||
- **Proxmox:** `/var/log/pve/`
|
||||
- **System:** `/var/log/syslog`, `/var/log/messages`
|
||||
- **GPU:** `/var/log/kern.log` (dmesg)
|
||||
- **AWS:** CloudWatch Logs
|
||||
- **Applications:** Application-specific log directories
|
||||
|
||||
## Emergency Procedures
|
||||
|
||||
### **Critical Issues**
|
||||
1. **Service Down:** Check status, restart if needed, investigate root cause
|
||||
2. **Data Loss:** Stop writes, assess backup, restore from backup
|
||||
3. **Security Breach:** Isolate system, preserve logs, investigate scope
|
||||
4. **Performance Crisis:** Throttle traffic, scale resources, optimize
|
||||
|
||||
### **Contact Escalation**
|
||||
- **Level 1:** System administrators
|
||||
- **Level 2:** Technical lead
|
||||
- **Level 3:** External support (vendor, consultant)
|
||||
- **Level 4:** Emergency response team
|
||||
|
||||
---
|
||||
|
||||
*This troubleshooting guide is a living document. Update it with new issues and solutions as they are discovered.*
|
||||
@@ -0,0 +1,54 @@
|
||||
1|# 05 - Agent Research & Learning — Home
|
||||
2|**Purpose:** Research papers, tutorials, and resources for AI agent development.
|
||||
3|
|
||||
4|## Overview
|
||||
5|
|
||||
6|Stay current with the latest developments in AI agent technology through curated research, tutorials, and community resources.
|
||||
7|
|
||||
8|## Learning Resources
|
||||
9|
|
||||
10|### **Academic Papers**
|
||||
11|- **Multi-Agent Systems:** Foundations and applications
|
||||
12|- **Reinforcement Learning for Agents:** Q-learning, PPO, GRPO
|
||||
13|- **Agent Communication Protocols:** FIPA, ACL, custom protocols
|
||||
14|- **Tool Learning:** In-context learning for tool selection
|
||||
15|
|
||||
16|### **Video Tutorials**
|
||||
17|- **YouTube Series:** Deep dives into agent architectures
|
||||
18|- **Conference Keynotes:** NeurIPS, ICML, ICLR talks
|
||||
19|- **Hands-on Labs:** Step-by-step implementation guides
|
||||
20|
|
||||
21|### **Podcasts**
|
||||
22|- **AI Agent Deep Dives:** Interviews with researchers
|
||||
23|- **Industry Applications:** Real-world use cases
|
||||
24|- **Future Trends:** Expert predictions and analysis
|
||||
25|
|
||||
26|### **Community Resources**
|
||||
27|- **GitHub Repositories:** Open-source agent frameworks
|
||||
28|- **Discord Servers:** Community support and collaboration
|
||||
29|- **Conferences:** Annual meetups and workshops
|
||||
30|
|
||||
31|## Recommended Reading
|
||||
32|
|
||||
33|1. **"Language Models as Zero-Shot Planners"** — arXiv:2106.04415
|
||||
34|2. **"ReAct: Synergizing Reasoning and Acting"** — arXiv:2210.03629
|
||||
35|3. **"Tool Learning: LLMs Learning to Call External APIs"** — arXiv:2302.04762
|
||||
36|4. **"Multi-Agent Collaboration: A Survey"** — arXiv:2310.08056
|
||||
37|
|
||||
38|## Stay Updated
|
||||
39|
|
||||
40|- **arXiv Alerts:** Set up daily/weekly digests for "agent" papers
|
||||
41|- **Twitter/X:** Follow key researchers and AI labs
|
||||
42|- **GitHub Topics:** #ai-agents, #multi-agent, #agent-orchestration
|
||||
43|- **Newsletter:** AI Weekly, Towards Data Science, ML News
|
||||
44|
|
||||
45|## Related Frameworks
|
||||
46|
|
||||
47|- **[Claude Code & Opencode](../01\ -\ Claude\ Code\ \&\ Opencode/)** — Practical implementation
|
||||
48|- **[OpenClaw Framework](../02\ -\ OpenClaw\ Framework/)** — Production orchestration
|
||||
49|- **[OpenMAIC Education](../06\ -\ OpenMAIC\ Education/)** — Structured learning
|
||||
50|
|
||||
51|---
|
||||
52|
|
||||
53|*Continuous learning resources for Jerome & Theodore to stay ahead in AI agent development.*
|
||||
54|
|
||||
@@ -0,0 +1,55 @@
|
||||
# 03 - AMD GPU Passthrough (Strix Halo) — Home
|
||||
**Purpose:** Detailed AMD APU passthrough configuration for host LLM access.
|
||||
|
||||
## Overview
|
||||
|
||||
This guide covers the complete setup for AMD Strix Halo GPU passthrough, enabling native LLM inference on AMD hardware.
|
||||
|
||||
## What You'll Learn
|
||||
|
||||
- **Hardware preparation:** Verify Strix Halo compatibility
|
||||
- **BIOS configuration:** Enable IOMMU and PCIe passthrough
|
||||
- **Kernel configuration:** Load VFIO modules properly
|
||||
- **Proxmox setup:** Configure GPU for VM passthrough
|
||||
- **Driver installation:** Vulkan, ROCm, HIP SDK integration
|
||||
- **Qwen3.5-MoE setup:** Configure for AMD GPU acceleration
|
||||
|
||||
## Prerequisites
|
||||
|
||||
- AMD Strix Halo APU with integrated Radeon graphics
|
||||
- Linux system kernel 5.4+ with IOMMU support
|
||||
- Proxmox VE 7.x or later
|
||||
- 16GB+ system RAM (8GB for APU graphics, 8GB for OS)
|
||||
- SSD storage for VM images
|
||||
|
||||
## Quick Start
|
||||
|
||||
```bash
|
||||
# Enable IOMMU in GRUB
|
||||
# Edit /etc/default/grub, add:
|
||||
# GRUB_CMDLINE_LINUX="amd_iommu=on iommu=pt"
|
||||
|
||||
# Update GRUB
|
||||
update-grub
|
||||
|
||||
# Load VFIO modules
|
||||
echo "vfio
|
||||
vfio_iommu_type1
|
||||
vfio_pci
|
||||
vfio_virqfd" | sudo tee /etc/modules-load.d/vfio.conf
|
||||
|
||||
# Blacklist Radeon in VM
|
||||
modprobe -r radeon amdgpu
|
||||
|
||||
# Reboot to apply changes
|
||||
reboot
|
||||
```
|
||||
|
||||
## Related Guides
|
||||
|
||||
- **[01 - Proxmox & VM Passthrough](../01\ -\ Proxmox\ \&\ VM\ Passthrough/)** — General passthrough setup
|
||||
- **[04 - Qwen3.5 Model Setup](../04\ -\ Qwen3.5\ Model\ Setup/)** — Model deployment
|
||||
|
||||
---
|
||||
|
||||
*Essential for running Qwen3.5-MoE locally on AMD hardware with Vulkan backend acceleration.*
|
||||
@@ -0,0 +1,70 @@
|
||||
1|# 04 - Autonomous AI Agents — Home
|
||||
2|**Purpose:** Research and implementation of autonomous agent workflows.
|
||||
3|
|
||||
4|## Overview
|
||||
5|
|
||||
6|Autonomous AI agents can execute multi-step tasks independently, learn from experience, and make decisions based on context. This section covers advanced orchestration patterns for production-grade agent systems.
|
||||
7|
|
||||
8|## Key Capabilities
|
||||
9|
|
||||
10|### **Multi-Agent Collaboration**
|
||||
11|- Role-based agent delegation
|
||||
12|- Cross-agent memory sharing
|
||||
13|- Conflict resolution protocols
|
||||
14|- Distributed task execution
|
||||
15|
|
||||
16|### **Autonomous Behaviors**
|
||||
17|- Self-correction loops
|
||||
18|- Error recovery mechanisms
|
||||
19|- Performance optimization
|
||||
20|- Adaptive resource allocation
|
||||
21|
|
||||
22|### **Advanced Patterns**
|
||||
23|- Agent swarms (10+ coordinated agents)
|
||||
24|- Continuous learning cycles
|
||||
25|- Human-in-the-loop intervention points
|
||||
26|- Audit trails and observability
|
||||
27|
|
||||
28|## Implementation Strategies
|
||||
29|
|
||||
30|### **Sequential Workflows**
|
||||
31|```python
|
||||
32|agent1.run(task="Research market")
|
||||
33|agent2.run(task="Analyze data")
|
||||
34|agent3.run(task="Generate report")
|
||||
35|```
|
||||
36|
|
||||
37|### **Parallel Workflows**
|
||||
38|```python
|
||||
39|results = await asyncio.gather(
|
||||
40| agent1.run(task="A"),
|
||||
41| agent2.run(task="B"),
|
||||
42| agent3.run(task="C")
|
||||
43|)
|
||||
44|```
|
||||
45|
|
||||
46|### **Feedback Loops**
|
||||
47|```python
|
||||
48|while not agent.is_satisfied(result):
|
||||
49| agent.improve(result)
|
||||
50| result = agent.execute(prompt)
|
||||
51|```
|
||||
52|
|
||||
53|## Use Cases
|
||||
54|
|
||||
55|- Market research automation
|
||||
56|- Multi-step data analysis pipelines
|
||||
57|- Customer support orchestration
|
||||
58|- Content generation workflows
|
||||
59|- Codebase refactoring agents
|
||||
60|
|
||||
61|## Related Frameworks
|
||||
62|
|
||||
63|- **[OpenClaw](../02\ -\ OpenClaw\ Framework/)** — Agent orchestration platform
|
||||
64|- **[MCP](../03\ -\ MCP\ \(Model\ Context\ Protocol\)/)** — Tool integration layer
|
||||
65|- **[OpenMAIC](../06\ -\ OpenMAIC\ Education/)** — Educational resources
|
||||
66|
|
||||
67|---
|
||||
68|
|
||||
69|*Advanced agent patterns for Jerome & Theodore's complex automation projects.*
|
||||
70|
|
||||
@@ -0,0 +1,43 @@
|
||||
# 05 - AWS Cloud Infrastructure — Home
|
||||
**Purpose:** AWS architecture, networking, and cost optimization for AI workloads.
|
||||
|
||||
## Overview
|
||||
|
||||
This section covers our AWS cloud infrastructure setup for scalable AI services, including:
|
||||
- VPC networking architecture
|
||||
- EC2 instance optimization for GPU workloads
|
||||
- S3 data pipeline automation
|
||||
- Cost optimization strategies
|
||||
|
||||
## Infrastructure Components
|
||||
|
||||
### **AWS Architecture**
|
||||
- **US-East-1 (N. Virginia):** Primary production environment
|
||||
- **Multi-AZ deployment:** High availability for critical services
|
||||
- **VPC networking:** Isolated subnets for compute, storage, and monitoring
|
||||
|
||||
### **Compute Resources**
|
||||
- **p4d.24xlarge:** A100-based instances for training
|
||||
- **g5.xlarge:** A10 instances for inference
|
||||
- **m5.large:** CPU-based instances for web services
|
||||
- **Spot instances:** Cost savings for non-critical workloads
|
||||
|
||||
### **Storage**
|
||||
- **S3 buckets:** Model weights, datasets, backup archives
|
||||
- **EBS volumes:** High-performance storage for active VMs
|
||||
- **Glacier:** Cold storage for historical data
|
||||
|
||||
## Cost Optimization
|
||||
|
||||
- **Reserved Instances:** 1-3 year commitments for baseline workloads
|
||||
- **Spot Instances:** 70% savings for fault-tolerant tasks
|
||||
- **S3 Lifecycle Policies:** Automatic tiering to Glacier
|
||||
- **CloudWatch Alarms:** Budget alerts and anomaly detection
|
||||
|
||||
## Related Documents
|
||||
|
||||
- **[Qwen3.5-MoE Setup](../02\ -\ TECHNICAL\ INFRASTRUCTURE/04\ -\ Qwen3.5\ Model\ Setup/)** — Model deployment strategies
|
||||
|
||||
---
|
||||
|
||||
*Our AWS infrastructure supports our SMB AI services and agent deployments with maximum efficiency.*
|
||||
@@ -0,0 +1,164 @@
|
||||
# Case Study: {Client Name} - {Project Title}
|
||||
|
||||
## 📋 Overview
|
||||
|
||||
### Client Profile
|
||||
- **Company**: {Client Company}
|
||||
- **Industry**: {Industry}
|
||||
- **Size**: {Company Size}
|
||||
- **Location**: {Location}
|
||||
- **Challenge**: {Brief challenge description}
|
||||
|
||||
### Project Summary
|
||||
- **Project Title**: {Project Title}
|
||||
- **Duration**: {Start Date} to {End Date}
|
||||
- **Team Size**: {Number} team members
|
||||
- **Technologies**: {Key technologies used}
|
||||
|
||||
## 🎯 The Challenge
|
||||
|
||||
### Background
|
||||
{Provide context about the client's business and situation}
|
||||
|
||||
### Problem Statement
|
||||
{Describe the specific problem or opportunity}
|
||||
|
||||
### Constraints & Requirements
|
||||
- Requirement 1: {Description}
|
||||
- Requirement 2: {Description}
|
||||
- Requirement 3: {Description}
|
||||
- Constraint 1: {Description}
|
||||
- Constraint 2: {Description}
|
||||
|
||||
## 🛠 Our Solution
|
||||
|
||||
### Approach & Methodology
|
||||
{Describe your approach to solving the problem}
|
||||
|
||||
### Technical Implementation
|
||||
**Architecture Overview**:
|
||||
{High-level architecture description}
|
||||
|
||||
**Key Components**:
|
||||
1. Component 1: {Description}
|
||||
2. Component 2: {Description}
|
||||
3. Component 3: {Description}
|
||||
|
||||
**Innovations**:
|
||||
- Innovation 1: {Description}
|
||||
- Innovation 2: {Description}
|
||||
- Innovation 3: {Description}
|
||||
|
||||
### Development Process
|
||||
- **Phase 1**: {Description} - {Timeline}
|
||||
- **Phase 2**: {Description} - {Timeline}
|
||||
- **Phase 3**: {Description} - {Timeline}
|
||||
- **Phase 4**: {Description} - {Timeline}
|
||||
|
||||
## 📊 Results & Impact
|
||||
|
||||
### Quantitative Results
|
||||
- **Metric 1**: {Before} → {After} ({Improvement Percentage})
|
||||
- **Metric 2**: {Before} → {After} ({Improvement Percentage})
|
||||
- **Metric 3**: {Before} → {After} ({Improvement Percentage})
|
||||
- **ROI**: {Return on Investment calculation}
|
||||
|
||||
### Qualitative Results
|
||||
- **Client Feedback**: {Quote from client}
|
||||
- **Team Observations**: {Key observations}
|
||||
- **Unexpected Benefits**: {Additional benefits realized}
|
||||
|
||||
### Business Impact
|
||||
- **Efficiency Gains**: {Description}
|
||||
- **Cost Savings**: {Description}
|
||||
- **Revenue Impact**: {Description}
|
||||
- **Strategic Advantage**: {Description}
|
||||
|
||||
## 🎓 Lessons Learned
|
||||
|
||||
### What Worked Well
|
||||
1. Success Factor 1: {Description}
|
||||
2. Success Factor 2: {Description}
|
||||
3. Success Factor 3: {Description}
|
||||
|
||||
### Challenges Overcome
|
||||
1. Challenge 1: {Description of challenge and solution}
|
||||
2. Challenge 2: {Description of challenge and solution}
|
||||
3. Challenge 3: {Description of challenge and solution}
|
||||
|
||||
### Recommendations for Similar Projects
|
||||
1. Recommendation 1: {Description}
|
||||
2. Recommendation 2: {Description}
|
||||
3. Recommendation 3: {Description}
|
||||
|
||||
## 🔮 Future Opportunities
|
||||
|
||||
### Next Phase Possibilities
|
||||
1. Opportunity 1: {Description}
|
||||
2. Opportunity 2: {Description}
|
||||
3. Opportunity 3: {Description}
|
||||
|
||||
### Scalability Considerations
|
||||
- Scalability Aspect 1: {Description}
|
||||
- Scalability Aspect 2: {Description}
|
||||
- Scalability Aspect 3: {Description}
|
||||
|
||||
## 👥 Testimonials
|
||||
|
||||
### Client Quote
|
||||
> "{Direct quote from client about the project}"
|
||||
|
||||
### Team Perspective
|
||||
> "{Quote from project team member}"
|
||||
|
||||
## 📈 Metrics Dashboard
|
||||
|
||||
### Key Performance Indicators
|
||||
| Metric | Before | After | Improvement |
|
||||
|--------|--------|-------|-------------|
|
||||
| {Metric 1} | {Value} | {Value} | {Percentage} |
|
||||
| {Metric 2} | {Value} | {Value} | {Percentage} |
|
||||
| {Metric 3} | {Value} | {Value} | {Percentage} |
|
||||
| {Metric 4} | {Value} | {Value} | {Percentage} |
|
||||
|
||||
### Timeline Visualization
|
||||
```
|
||||
Project Timeline:
|
||||
[Week 1-2] Discovery & Planning
|
||||
[Week 3-6] Development
|
||||
[Week 7-8] Testing & Deployment
|
||||
[Week 9+] Support & Optimization
|
||||
```
|
||||
|
||||
## 🔗 Related Resources
|
||||
|
||||
### Project Artifacts
|
||||
- [Technical Documentation](link/to/docs)
|
||||
- [Code Repository](link/to/repo)
|
||||
- [Deployment Guide](link/to/guide)
|
||||
|
||||
### Media
|
||||
- [Screenshots](link/to/screenshots)
|
||||
- [Demo Video](link/to/video)
|
||||
- [Architecture Diagrams](link/to/diagrams)
|
||||
|
||||
## 📞 Contact Information
|
||||
|
||||
### Syslog Solution LLC
|
||||
- **Contact**: Jerome Tabiri
|
||||
- **Email**: jerome@sysloggh.com
|
||||
- **Website**: https://sysloggh.com
|
||||
|
||||
### Client Contact
|
||||
- **Name**: {Client Contact}
|
||||
- **Title**: {Client Title}
|
||||
- **Company**: {Client Company}
|
||||
|
||||
---
|
||||
|
||||
**Published**: {Publication Date}
|
||||
**Case Study ID**: {Case Study ID}
|
||||
**Category**: {Category: AI Automation, Cloud Migration, etc.}
|
||||
**Tags**: #{Tag1}, #{Tag2}, #{Tag3}
|
||||
|
||||
*This case study is published with client permission. All data is anonymized or aggregated where necessary to protect client confidentiality.*
|
||||
@@ -0,0 +1,53 @@
|
||||
1|# 01 - Claude Code & Opencode — Home
|
||||
2|**Purpose:** Agent framework tutorials and best practices for Claude Code and OpenCode CLI.
|
||||
3|
|
||||
4|## Overview
|
||||
5|
|
||||
6|This section provides practical guides for deploying and managing AI coding agents using Claude Code and OpenCode CLI tools.
|
||||
7|
|
||||
8|## Contents
|
||||
9|
|
||||
10|### **Claude Code**
|
||||
11|- Quick start and configuration
|
||||
12|- Integration with IDEs
|
||||
13|- Custom agent definitions
|
||||
14|- Security best practices
|
||||
15|
|
||||
16|### **OpenCode**
|
||||
17|- CLI setup and usage
|
||||
18|- Extending with custom commands
|
||||
19|- Multi-agent orchestration
|
||||
20|- Production deployment patterns
|
||||
21|
|
||||
22|### **Best Practices**
|
||||
23|- Context window management
|
||||
24|- Agent sandboxing rules
|
||||
25|- Error handling patterns
|
||||
26|- Performance optimization
|
||||
27|
|
||||
28|## Quick Start
|
||||
29|
|
||||
30|```bash
|
||||
31|# Install OpenCode CLI
|
||||
32|pip install opencode-cli
|
||||
33|
|
||||
34|# Configure API keys
|
||||
35|export OPENAI_API_KEY="***"
|
||||
36|
|
||||
37|# Run Claude Code
|
||||
38|opencode run "Analyze this codebase for security issues"
|
||||
39|
|
||||
40|# Create custom agent
|
||||
41|opencode agent create --name my-helper --template best-practices
|
||||
42|```
|
||||
43|
|
||||
44|## Related Frameworks
|
||||
45|
|
||||
46|- **[MCP (Model Context Protocol)](../03\ -\ MCP\ \(Model\ Context\ Protocol\)/)** — Tool integration
|
||||
47|- **[OpenClaw Framework](../02\ -\ OpenClaw\ Framework/)** — Multi-agent orchestration
|
||||
48|- **[Autonomous AI Agents](../04\ -\ Autonomous\ AI\ Agents/)** — Advanced workflows
|
||||
49|
|
||||
50|---
|
||||
51|
|
||||
52|*Practical guides for Jerome & Theodore to implement AI coding agents in their daily workflow.*
|
||||
53|
|
||||
@@ -0,0 +1,44 @@
|
||||
# {Document Title}
|
||||
|
||||
## 🎯 Purpose
|
||||
Brief description of what this document is for and who should use it.
|
||||
|
||||
## 📋 Overview
|
||||
High-level summary of the content and structure.
|
||||
|
||||
## 🔧 Key Components
|
||||
- Component 1: Description
|
||||
- Component 2: Description
|
||||
- Component 3: Description
|
||||
|
||||
## 🚀 Implementation Steps
|
||||
1. **Step 1**: Detailed instructions
|
||||
2. **Step 2**: Detailed instructions
|
||||
3. **Step 3**: Detailed instructions
|
||||
|
||||
## 📊 Success Metrics
|
||||
- Metric 1: Target value
|
||||
- Metric 2: Target value
|
||||
- Metric 3: Target value
|
||||
|
||||
## 🛠 Tools & Resources
|
||||
- Tool 1: Purpose and link
|
||||
- Tool 2: Purpose and link
|
||||
- Template: Related template file
|
||||
|
||||
## 🔗 Related Documents
|
||||
- [Related Document 1](path/to/document1.md)
|
||||
- [Related Document 2](path/to/document2.md)
|
||||
|
||||
## 📅 Version History
|
||||
- **v1.0** (April 2026): Initial creation
|
||||
- **v1.1** (Date): Update description
|
||||
|
||||
---
|
||||
|
||||
**Last Updated**: {Date}
|
||||
**Version**: 1.0
|
||||
**Owner**: {Name}
|
||||
**Next Review**: {Date}
|
||||
|
||||
*This document is proprietary to Syslog Solution LLC. Unauthorized distribution prohibited.*
|
||||
@@ -0,0 +1,51 @@
|
||||
1|# 02 - GPU Monitoring — Home
|
||||
2|**Purpose:** Grafana dashboards and monitoring setup for GPU telemetry.
|
||||
3|
|
||||
4|## Contents
|
||||
5|
|
||||
6|This directory contains:
|
||||
7|- Grafana dashboard configuration
|
||||
8|- ROCm monitoring setup
|
||||
9|- Real-time performance tracking
|
||||
10|
|
||||
11|### Monitoring Features
|
||||
12|
|
||||
13|- **Real-time GPU utilization:** Track VRAM, compute, and memory usage
|
||||
14|- **Temperature monitoring:** Alert on overheating conditions
|
||||
15|- **Performance metrics:** Core clock, power consumption, fan speeds
|
||||
16|- **Historical data:** Grafana time-series graphs for trend analysis
|
||||
17|
|
||||
18|## Quick Start
|
||||
19|
|
||||
20|### Grafana Dashboard Setup
|
||||
21|
|
||||
22|```bash
|
||||
23|# Install Grafana
|
||||
24|sudo apt install grafana
|
||||
25|
|
||||
26|# Start Grafana service
|
||||
27|systemctl start grafana-server
|
||||
28|
|
||||
29|# Access dashboard
|
||||
30|# http://localhost:3000 (admin/admin)
|
||||
31|```
|
||||
32|
|
||||
33|### ROCm Monitoring
|
||||
34|
|
||||
35|```bash
|
||||
36|# Install ROCm health monitoring tools
|
||||
37|sudo apt install rocminfo rocm-smi
|
||||
38|
|
||||
39|# Real-time monitoring
|
||||
40|watch -n 1 rocm-smi
|
||||
41|```
|
||||
42|
|
||||
43|## Related Infrastructure
|
||||
44|
|
||||
45|- **[AMD GPU Passthrough](../03\ -\ AMD\ GPU\ Passthrough/)** — Hardware configuration
|
||||
46|- **[Qwen3.5 Model Setup](../04\ -\ Qwen3.5\ Model\ Setup/)** — Model deployment
|
||||
47|
|
||||
48|---
|
||||
49|
|
||||
50|*Monitor your GPUs 24/7 to ensure optimal performance for LLM inference workloads.*
|
||||
51|
|
||||
@@ -0,0 +1,87 @@
|
||||
1|# 02 - MCP (Model Context Protocol) — Home
|
||||
2|**Purpose:** MCP integration guides and implementation examples.
|
||||
3|
|
||||
4|## What is MCP?
|
||||
5|Model Context Protocol (MCP) is a standardized interface for connecting LLMs to external tools, data sources, and services.
|
||||
6|
|
||||
7|## MCP Benefits
|
||||
8|- **Unified interface** for tool integration
|
||||
9|- **Hot-swappable** tool providers
|
||||
10|- **Standardized** input/output schemas
|
||||
11|- **Type-safe** API definitions
|
||||
12|
|
||||
13|## Core Concepts
|
||||
14|
|
||||
15|### Tools
|
||||
16|External capabilities exposed to the model:
|
||||
17|- File system access
|
||||
18|- Database queries
|
||||
19|- API endpoints
|
||||
20|- Custom business logic
|
||||
21|
|
||||
22|### Resources
|
||||
23|Data sources the model can read:
|
||||
24|- Documents
|
||||
25|- Configuration files
|
||||
26|- Real-time data feeds
|
||||
27|- Knowledge bases
|
||||
28|
|
||||
29|### Prompts
|
||||
30|Pre-defined interaction templates:
|
||||
31|- Task initiation patterns
|
||||
32|- System prompt variations
|
||||
33|- Role-definition templates
|
||||
34|
|
||||
35|## Quick Start
|
||||
36|
|
||||
37|```bash
|
||||
38|# Install MCP server
|
||||
39|pip install mcp-server-filesystem mcp-server-sqlite
|
||||
40|
|
||||
41|# Start a filesystem MCP server
|
||||
42|mcp-server-filesystem --path /path/to/allowed/directory
|
||||
43|
|
||||
44|# Connect via client
|
||||
45|from mcp import ClientSession, StdioServerParameters
|
||||
46|
|
||||
47|async with ClientSession(
|
||||
48| stdio_server_parameters=StdioServerParameters(
|
||||
49| command="mcp-server-filesystem",
|
||||
50| args=["--path", "/path/to/allowed/directory"]
|
||||
51| )
|
||||
52|) as session:
|
||||
53| # List available tools
|
||||
54| tools = await session.list_tools()
|
||||
55|```
|
||||
56|
|
||||
57|## Available MCP Servers
|
||||
58|
|
||||
59|- **Filesystem:** Access documents and configuration files
|
||||
60|- **SQL databases:** Query relational databases safely
|
||||
61|- **API Gateway:** Connect to REST/GraphQL endpoints
|
||||
62|- **Custom Business Logic:** Integrate internal tools and services
|
||||
63|
|
||||
64|## Security Considerations
|
||||
65|
|
||||
66|- **Path whitelisting:** Only allow specific directories
|
||||
67|- **Query rate limiting:** Prevent resource exhaustion
|
||||
68|- **Input sanitization:** Validate all user inputs
|
||||
69|- **Token-based access:** Require authentication for sensitive operations
|
||||
70|
|
||||
71|## Use Cases
|
||||
72|
|
||||
73|- **Document analysis:** Read and process large document collections
|
||||
74|- **Database queries:** Extract insights from operational databases
|
||||
75|- **API orchestration:** Coordinate across multiple external services
|
||||
76|- **Code generation:** Write and execute code safely
|
||||
77|
|
||||
78|## References
|
||||
79|
|
||||
80|- [MCP Specification](https://modelcontextprotocol.io)
|
||||
81|- [MCP Server Implementations](https://github.com/modelcontextprotocol/servers)
|
||||
82|- [Integration Examples](../03%20-%20AI%20AGENTS%20&%20LEARNING/02%20-%20OpenClaw%20Framework/)
|
||||
83|
|
||||
84|---
|
||||
85|
|
||||
86|*MCP integrates seamlessly with OpenClaw agent orchestration for scalable AI applications.*
|
||||
87|
|
||||
@@ -0,0 +1,132 @@
|
||||
# Meeting Notes: {Meeting Title}
|
||||
|
||||
## 📋 Meeting Details
|
||||
- **Date**: {Meeting Date}
|
||||
- **Time**: {Start Time} - {End Time} ({Timezone})
|
||||
- **Location**: {Location/Virtual Meeting Link}
|
||||
- **Meeting Type**: {Type: Client, Internal, Planning, etc.}
|
||||
|
||||
## 👥 Attendees
|
||||
|
||||
### Present
|
||||
- {Name 1} ({Role/Company})
|
||||
- {Name 2} ({Role/Company})
|
||||
- {Name 3} ({Role/Company})
|
||||
|
||||
### Absent
|
||||
- {Name 4} ({Role/Company})
|
||||
- {Name 5} ({Role/Company})
|
||||
|
||||
## 🎯 Meeting Objectives
|
||||
1. Objective 1
|
||||
2. Objective 2
|
||||
3. Objective 3
|
||||
|
||||
## 📝 Discussion Summary
|
||||
|
||||
### Topic 1: {Topic Title}
|
||||
**Key Points**:
|
||||
- Point 1
|
||||
- Point 2
|
||||
- Point 3
|
||||
|
||||
**Decisions Made**:
|
||||
- Decision 1
|
||||
- Decision 2
|
||||
|
||||
**Action Items**:
|
||||
- [ ] {Task} - {Owner} - Due {Date}
|
||||
|
||||
### Topic 2: {Topic Title}
|
||||
**Key Points**:
|
||||
- Point 1
|
||||
- Point 2
|
||||
|
||||
**Decisions Made**:
|
||||
- Decision 1
|
||||
|
||||
**Action Items**:
|
||||
- [ ] {Task} - {Owner} - Due {Date}
|
||||
|
||||
### Topic 3: {Topic Title}
|
||||
**Key Points**:
|
||||
- Point 1
|
||||
- Point 2
|
||||
- Point 3
|
||||
|
||||
**Decisions Made**:
|
||||
- Decision 1
|
||||
- Decision 2
|
||||
|
||||
**Action Items**:
|
||||
- [ ] {Task} - {Owner} - Due {Date}
|
||||
|
||||
## ✅ Action Items Summary
|
||||
|
||||
### Immediate (This Week)
|
||||
1. [ ] {Task} - {Owner} - Due {Date}
|
||||
2. [ ] {Task} - {Owner} - Due {Date}
|
||||
|
||||
### Short-term (Next 2 Weeks)
|
||||
1. [ ] {Task} - {Owner} - Due {Date}
|
||||
2. [ ] {Task} - {Owner} - Due {Date}
|
||||
|
||||
### Follow-up
|
||||
1. [ ] {Task} - {Owner} - Due {Date}
|
||||
2. [ ] {Task} - {Owner} - Due {Date}
|
||||
|
||||
## 📊 Decisions Made
|
||||
1. **Decision 1**: {Description}
|
||||
- Impact: {Impact analysis}
|
||||
- Next Steps: {Actions required}
|
||||
|
||||
2. **Decision 2**: {Description}
|
||||
- Impact: {Impact analysis}
|
||||
- Next Steps: {Actions required}
|
||||
|
||||
3. **Decision 3**: {Description}
|
||||
- Impact: {Impact analysis}
|
||||
- Next Steps: {Actions required}
|
||||
|
||||
## ❓ Open Questions
|
||||
1. Question 1 - {Owner to follow up}
|
||||
2. Question 2 - {Owner to follow up}
|
||||
3. Question 3 - {Owner to follow up}
|
||||
|
||||
## 🔄 Next Steps
|
||||
1. **Immediate** (Today/Tomorrow):
|
||||
- {Task}
|
||||
- {Task}
|
||||
|
||||
2. **This Week**:
|
||||
- {Task}
|
||||
- {Task}
|
||||
|
||||
3. **Before Next Meeting**:
|
||||
- {Task}
|
||||
- {Task}
|
||||
|
||||
## 📅 Next Meeting
|
||||
- **Date**: {Next Meeting Date}
|
||||
- **Time**: {Next Meeting Time}
|
||||
- **Agenda Items**:
|
||||
1. {Agenda Item 1}
|
||||
2. {Agenda Item 2}
|
||||
3. {Agenda Item 3}
|
||||
|
||||
## 📎 Attachments & References
|
||||
- [Attachment 1](link/to/attachment)
|
||||
- [Attachment 2](link/to/attachment)
|
||||
- [Reference Document](link/to/document)
|
||||
|
||||
## 📝 Notes
|
||||
{Additional notes, observations, or context}
|
||||
|
||||
---
|
||||
|
||||
**Prepared By**: {Your Name}
|
||||
**Distribution**: {List of recipients}
|
||||
**Status**: Draft/Final
|
||||
**Version**: 1.0
|
||||
|
||||
*These notes are confidential and intended only for the attendees and relevant stakeholders.*
|
||||
@@ -0,0 +1,59 @@
|
||||
1|# OpenClaw Framework — Home
|
||||
2|**Purpose:** Complete guide to setting up and using the OpenClaw agent orchestration framework.
|
||||
3|
|
||||
4|## What is OpenClaw?
|
||||
5|OpenClaw provides a powerful framework for orchestrating AI agents, enabling multi-agent collaboration, task delegation, and complex workflow automation.
|
||||
6|
|
||||
7|## Quick Start
|
||||
8|
|
||||
9|### Installation
|
||||
10|```bash
|
||||
11|# Clone the repository
|
||||
12|git clone https://github.com/openclaw/openclaw.git
|
||||
13|cd openclaw
|
||||
14|
|
||||
15|# Install dependencies
|
||||
16|pip install -r requirements.txt
|
||||
17|
|
||||
18|# Configure API keys
|
||||
19|export OPENCLAW_API_KEY="***"
|
||||
20|```
|
||||
21|
|
||||
22|### Basic Usage
|
||||
23|```python
|
||||
24|from openclaw import AgentOrchestrator
|
||||
25|
|
||||
26|# Create an orchestrator
|
||||
27|orchestrator = AgentOrchestrator()
|
||||
28|
|
||||
29|# Define agent roles
|
||||
30|agents = {
|
||||
31| "researcher": Agent(role="researcher"),
|
||||
32| "analyst": Agent(role="analyst"),
|
||||
33| "writer": Agent(role="writer")
|
||||
34|}
|
||||
35|
|
||||
36|# Run a multi-agent workflow
|
||||
37|result = orchestrator.run_task(
|
||||
38| task="Write market analysis report",
|
||||
39| agents=agents
|
||||
40|)
|
||||
41|```
|
||||
42|
|
||||
43|## Framework Components
|
||||
44|
|
||||
45|- **Agent Registry:** Pool of specialized agents
|
||||
46|- **Task Dispatcher:** Routes tasks to appropriate agents
|
||||
47|- **Collaboration Layer:** Enables agent-to-agent communication
|
||||
48|- **Orchestration Engine:** Coordinates complex workflows
|
||||
49|
|
||||
50|## Use Cases
|
||||
51|
|
||||
52|- Market research automation
|
||||
53|- Content generation pipelines
|
||||
54|- Multi-step data analysis
|
||||
55|- Autonomous decision making
|
||||
56|
|
||||
57|---
|
||||
58|
|
||||
59|*For advanced usage, refer to the Advanced Usage guide and API Reference documentation.*
|
||||
@@ -0,0 +1,11 @@
|
||||
1|# 05 - OPERATIONAL EXCELLENCE — Home
|
||||
2|**Purpose:** Business operations, client management, and process documentation.
|
||||
3|
|
||||
4|## Contents
|
||||
5|
|
||||
6|### **(Subdirectories to be populated with operational processes)**
|
||||
7|
|
||||
8|---
|
||||
9|
|
||||
10|*Focus: Streamlining business operations, client workflows, and maintaining service excellence.*
|
||||
11|
|
||||
@@ -0,0 +1,229 @@
|
||||
# Project Plan: {Project Name}
|
||||
|
||||
## 📋 Project Overview
|
||||
|
||||
### Basic Information
|
||||
- **Project Name**: {Project Name}
|
||||
- **Project Code**: {Project Code}
|
||||
- **Client**: {Client Name}
|
||||
- **Project Manager**: {Project Manager}
|
||||
- **Start Date**: {Start Date}
|
||||
- **End Date**: {End Date}
|
||||
- **Duration**: {Duration} weeks
|
||||
|
||||
### Project Objectives
|
||||
1. Objective 1: {Description}
|
||||
2. Objective 2: {Description}
|
||||
3. Objective 3: {Description}
|
||||
|
||||
### Success Criteria
|
||||
- Criterion 1: {Measurable success criterion}
|
||||
- Criterion 2: {Measurable success criterion}
|
||||
- Criterion 3: {Measurable success criterion}
|
||||
|
||||
## 👥 Team & Responsibilities
|
||||
|
||||
### Core Team
|
||||
| Role | Name | Responsibilities |
|
||||
|------|------|------------------|
|
||||
| Project Manager | {Name} | Overall project management, client communication |
|
||||
| Technical Lead | {Name} | Technical architecture, code review |
|
||||
| Developer 1 | {Name} | Feature development, testing |
|
||||
| Developer 2 | {Name} | Feature development, testing |
|
||||
| QA Specialist | {Name} | Testing, quality assurance |
|
||||
|
||||
### Stakeholders
|
||||
- **Client**: {Client Contact} - {Role}
|
||||
- **Internal**: {Internal Stakeholder} - {Role}
|
||||
- **Vendor**: {Vendor Contact} - {Role} (if applicable)
|
||||
|
||||
## 📅 Project Timeline
|
||||
|
||||
### High-Level Schedule
|
||||
```
|
||||
Week 1-2: Discovery & Planning
|
||||
Week 3-6: Development
|
||||
Week 7-8: Testing & QA
|
||||
Week 9: Deployment
|
||||
Week 10: Post-Launch Support
|
||||
```
|
||||
|
||||
### Detailed Milestones
|
||||
| Milestone | Description | Due Date | Owner | Status |
|
||||
|-----------|-------------|----------|-------|--------|
|
||||
| M1 | Project Kickoff | {Date} | {Owner} | Planned |
|
||||
| M2 | Requirements Finalized | {Date} | {Owner} | Planned |
|
||||
| M3 | Design Approval | {Date} | {Owner} | Planned |
|
||||
| M4 | Development Complete | {Date} | {Owner} | Planned |
|
||||
| M5 | UAT Complete | {Date} | {Owner} | Planned |
|
||||
| M6 | Production Deployment | {Date} | {Owner} | Planned |
|
||||
| M7 | Project Closure | {Date} | {Owner} | Planned |
|
||||
|
||||
## 🔧 Technical Approach
|
||||
|
||||
### Architecture
|
||||
{High-level architecture description}
|
||||
|
||||
### Technology Stack
|
||||
- **Frontend**: {Technology}
|
||||
- **Backend**: {Technology}
|
||||
- **Database**: {Technology}
|
||||
- **Infrastructure**: {Technology}
|
||||
- **DevOps**: {Technology}
|
||||
|
||||
### Development Standards
|
||||
- Code review process: {Description}
|
||||
- Testing strategy: {Description}
|
||||
- Deployment process: {Description}
|
||||
- Documentation standards: {Description}
|
||||
|
||||
## 📊 Risk Management
|
||||
|
||||
### Identified Risks
|
||||
| Risk | Probability | Impact | Mitigation Strategy | Owner |
|
||||
|------|-------------|--------|---------------------|-------|
|
||||
| {Risk 1} | High/Medium/Low | High/Medium/Low | {Strategy} | {Owner} |
|
||||
| {Risk 2} | High/Medium/Low | High/Medium/Low | {Strategy} | {Owner} |
|
||||
| {Risk 3} | High/Medium/Low | High/Medium/Low | {Strategy} | {Owner} |
|
||||
|
||||
### Risk Response Plan
|
||||
1. **Risk 1 Response**: {Detailed response plan}
|
||||
2. **Risk 2 Response**: {Detailed response plan}
|
||||
3. **Risk 3 Response**: {Detailed response plan}
|
||||
|
||||
## 💰 Budget & Resources
|
||||
|
||||
### Budget Breakdown
|
||||
| Category | Estimated Cost | Actual Cost | Variance |
|
||||
|----------|----------------|-------------|----------|
|
||||
| Labor | ${Amount} | ${Amount} | ${Amount} |
|
||||
| Software/Tools | ${Amount} | ${Amount} | ${Amount} |
|
||||
| Infrastructure | ${Amount} | ${Amount} | ${Amount} |
|
||||
| Contingency | ${Amount} | ${Amount} | ${Amount} |
|
||||
| **Total** | **${Amount}** | **${Amount}** | **${Amount}** |
|
||||
|
||||
### Resource Requirements
|
||||
- **Team**: {Number} FTEs for {Duration} weeks
|
||||
- **Infrastructure**: {Server specifications, storage, etc.}
|
||||
- **Tools**: {List of required software tools}
|
||||
- **External Services**: {List of third-party services}
|
||||
|
||||
## 📝 Communication Plan
|
||||
|
||||
### Regular Meetings
|
||||
| Meeting | Frequency | Participants | Purpose |
|
||||
|---------|-----------|--------------|---------|
|
||||
| Daily Standup | Daily | Development Team | Progress update, blockers |
|
||||
| Weekly Status | Weekly | Core Team + Client | Project status, issues |
|
||||
| Steering Committee | Bi-weekly | Stakeholders | Strategic decisions |
|
||||
| Demo Sessions | Every 2 weeks | Client + Team | Feature demonstrations |
|
||||
|
||||
### Reporting
|
||||
- **Daily**: Standup notes in {Tool}
|
||||
- **Weekly**: Status report emailed to stakeholders
|
||||
- **Monthly**: Executive summary for leadership
|
||||
- **Ad-hoc**: Issue alerts as needed
|
||||
|
||||
### Communication Channels
|
||||
- **Primary**: {Tool} for team communication
|
||||
- **Client**: {Email/Portal} for formal communication
|
||||
- **Documentation**: {Repository/Wiki} for project docs
|
||||
- **Emergency**: {Phone/Telegram} for urgent issues
|
||||
|
||||
## ✅ Quality Assurance
|
||||
|
||||
### Testing Strategy
|
||||
- **Unit Testing**: {Coverage target, tools}
|
||||
- **Integration Testing**: {Approach, tools}
|
||||
- **User Acceptance Testing**: {Process, participants}
|
||||
- **Performance Testing**: {Targets, tools}
|
||||
- **Security Testing**: {Approach, tools}
|
||||
|
||||
### Quality Gates
|
||||
1. **Gate 1**: Requirements review complete
|
||||
2. **Gate 2**: Design approved
|
||||
3. **Gate 3**: Code review complete
|
||||
4. **Gate 4**: Testing passed
|
||||
5. **Gate 5**: Client acceptance
|
||||
|
||||
### Documentation Requirements
|
||||
- [ ] Technical Design Document
|
||||
- [ ] API Documentation
|
||||
- [ ] User Manual
|
||||
- [ ] Deployment Guide
|
||||
- [ ] Support Procedures
|
||||
|
||||
## 🚀 Deployment Plan
|
||||
|
||||
### Pre-Deployment Checklist
|
||||
- [ ] All tests passed
|
||||
- [ ] Client approval received
|
||||
- [ ] Backup of current system
|
||||
- [ ] Rollback plan tested
|
||||
- [ ] Team on standby
|
||||
|
||||
### Deployment Steps
|
||||
1. Step 1: {Description}
|
||||
2. Step 2: {Description}
|
||||
3. Step 3: {Description}
|
||||
4. Step 4: {Description}
|
||||
5. Step 5: {Description}
|
||||
|
||||
### Post-Deployment
|
||||
- **Monitoring**: {Tools, metrics to watch}
|
||||
- **Support**: {Support team, escalation path}
|
||||
- **Validation**: {Success criteria verification}
|
||||
- **Documentation**: {Update runbooks, knowledge base}
|
||||
|
||||
## 🔄 Change Management
|
||||
|
||||
### Change Request Process
|
||||
1. Request submitted via {Form/Tool}
|
||||
2. Impact assessment by technical team
|
||||
3. Review by project manager
|
||||
4. Approval by change control board
|
||||
5. Implementation following approved plan
|
||||
|
||||
### Version Control
|
||||
- Code: {Repository URL}
|
||||
- Documentation: {Repository URL}
|
||||
- Configurations: {Repository URL}
|
||||
|
||||
## 📈 Success Measurement
|
||||
|
||||
### Key Performance Indicators
|
||||
| KPI | Target | Measurement Method | Frequency |
|
||||
|-----|--------|-------------------|-----------|
|
||||
| {KPI 1} | {Target} | {Method} | {Frequency} |
|
||||
| {KPI 2} | {Target} | {Method} | {Frequency} |
|
||||
| {KPI 3} | {Target} | {Method} | {Frequency} |
|
||||
|
||||
### Project Health Dashboard
|
||||
- **Schedule**: {Percentage} on track
|
||||
- **Budget**: {Percentage} utilized
|
||||
- **Quality**: {Defect rate, test coverage}
|
||||
- **Team Morale**: {Survey results}
|
||||
|
||||
## 📋 Appendices
|
||||
|
||||
### Appendix A: Detailed Requirements
|
||||
{Link to detailed requirements document}
|
||||
|
||||
### Appendix B: Technical Specifications
|
||||
{Link to technical design document}
|
||||
|
||||
### Appendix C: Test Plans
|
||||
{Link to test strategy and plans}
|
||||
|
||||
### Appendix D: Risk Register
|
||||
{Link to detailed risk register}
|
||||
|
||||
---
|
||||
|
||||
**Document Version**: 1.0
|
||||
**Last Updated**: {Date}
|
||||
**Next Review**: {Date}
|
||||
**Approved By**: {Name}, {Title}
|
||||
**Distribution**: Project Team, Stakeholders
|
||||
|
||||
*This project plan is a living document and will be updated throughout the project lifecycle.*
|
||||
@@ -0,0 +1,152 @@
|
||||
# {Client Name} - {Project Title} Proposal
|
||||
|
||||
## 📋 Proposal Overview
|
||||
|
||||
### Client Information
|
||||
- **Company**: {Client Company}
|
||||
- **Contact**: {Client Contact}
|
||||
- **Email**: {Client Email}
|
||||
- **Date**: {Proposal Date}
|
||||
|
||||
### Project Summary
|
||||
**Project Title**: {Project Title}
|
||||
**Project Code**: {Project Code}
|
||||
**Proposal Valid Until**: {Valid Until Date}
|
||||
**Prepared By**: Syslog Solution LLC
|
||||
|
||||
## 🎯 Executive Summary
|
||||
|
||||
### The Challenge
|
||||
{Describe the client's current challenge or opportunity in 2-3 sentences}
|
||||
|
||||
### Our Solution
|
||||
{Describe your proposed solution in 2-3 sentences}
|
||||
|
||||
### Expected Benefits
|
||||
- Benefit 1: {Quantifiable benefit}
|
||||
- Benefit 2: {Qualitative benefit}
|
||||
- Benefit 3: {Strategic benefit}
|
||||
|
||||
## 🔍 Project Scope
|
||||
|
||||
### In Scope
|
||||
- [ ] Deliverable 1: {Description}
|
||||
- [ ] Deliverable 2: {Description}
|
||||
- [ ] Deliverable 3: {Description}
|
||||
- [ ] Deliverable 4: {Description}
|
||||
|
||||
### Out of Scope
|
||||
- Item 1: {Reason for exclusion}
|
||||
- Item 2: {Reason for exclusion}
|
||||
- Item 3: {Reason for exclusion}
|
||||
|
||||
### Assumptions
|
||||
1. Assumption 1: {Description}
|
||||
2. Assumption 2: {Description}
|
||||
3. Assumption 3: {Description}
|
||||
|
||||
## 📅 Project Timeline
|
||||
|
||||
### Phase 1: Discovery & Planning (Week 1-2)
|
||||
- **Week 1**: Requirements gathering and analysis
|
||||
- **Week 2**: Technical design and planning
|
||||
|
||||
### Phase 2: Development (Week 3-6)
|
||||
- **Week 3-4**: Core development
|
||||
- **Week 5**: Integration and testing
|
||||
- **Week 6**: User acceptance testing
|
||||
|
||||
### Phase 3: Deployment & Support (Week 7-8)
|
||||
- **Week 7**: Production deployment
|
||||
- **Week 8**: Post-launch support and handoff
|
||||
|
||||
### Key Milestones
|
||||
1. **M1**: Project Kickoff - {Date}
|
||||
2. **M2**: Design Approval - {Date}
|
||||
3. **M3**: Development Complete - {Date}
|
||||
4. **M4**: UAT Complete - {Date}
|
||||
5. **M5**: Go-Live - {Date}
|
||||
|
||||
## 👥 Team & Responsibilities
|
||||
|
||||
### Syslog Solution LLC Team
|
||||
- **Project Manager**: Jerome Tabiri
|
||||
- **Technical Lead**: {Name}
|
||||
- **Developers**: {Number} developers
|
||||
- **QA Specialist**: {Name}
|
||||
|
||||
### Client Responsibilities
|
||||
- Provide timely feedback and approvals
|
||||
- Designate primary point of contact
|
||||
- Provide necessary access and resources
|
||||
- Participate in regular status meetings
|
||||
|
||||
## 💰 Pricing & Payment Terms
|
||||
|
||||
### Project Pricing
|
||||
**Total Project Cost**: ${Total Amount}
|
||||
|
||||
### Payment Schedule
|
||||
1. **Deposit (30%)**: ${Amount} upon contract signing
|
||||
2. **Progress Payment (40%)**: ${Amount} upon completion of Phase 2
|
||||
3. **Final Payment (30%)**: ${Amount} upon project completion
|
||||
|
||||
### Additional Costs
|
||||
- **Third-party Services**: Billed at cost + 15% management fee
|
||||
- **Additional Features**: Quoted separately as change requests
|
||||
- **Ongoing Support**: Available at ${Monthly Rate}/month
|
||||
|
||||
## 📝 Terms & Conditions
|
||||
|
||||
### Intellectual Property
|
||||
- Pre-existing IP remains property of respective owners
|
||||
- Newly developed IP will be owned by {Client/Syslog Solution LLC}
|
||||
- Source code will be delivered upon final payment
|
||||
|
||||
### Confidentiality
|
||||
- Both parties agree to maintain confidentiality
|
||||
- NDA will be signed prior to project start
|
||||
- Client data will be handled according to privacy policy
|
||||
|
||||
### Change Management
|
||||
- Change requests require written approval
|
||||
- Impact on timeline and budget will be assessed
|
||||
- Minor changes may be accommodated at no additional cost
|
||||
|
||||
### Termination
|
||||
- Either party may terminate with 30 days written notice
|
||||
- Work completed will be billed proportionally
|
||||
- Client will receive all deliverables completed to date
|
||||
|
||||
## ✅ Next Steps
|
||||
|
||||
1. **Review Proposal**: Client reviews this proposal
|
||||
2. **Schedule Discussion**: 30-minute call to address questions
|
||||
3. **Contract Signing**: Execute service agreement
|
||||
4. **Project Kickoff**: Begin Phase 1 activities
|
||||
|
||||
## 📞 Contact Information
|
||||
|
||||
### Syslog Solution LLC
|
||||
- **Contact**: Jerome Tabiri
|
||||
- **Email**: jerome@sysloggh.com
|
||||
- **Telegram**: @mejerome19
|
||||
- **Website**: https://sysloggh.com
|
||||
|
||||
### Acceptance
|
||||
By signing below, {Client Company} accepts this proposal and agrees to the terms outlined above.
|
||||
|
||||
**Client Signature**: _________________________
|
||||
**Name**: {Client Contact}
|
||||
**Title**: {Client Title}
|
||||
**Date**: {Signature Date}
|
||||
|
||||
**Syslog Solution LLC Signature**: _________________________
|
||||
**Name**: Jerome Tabiri
|
||||
**Title**: Founder & CEO
|
||||
**Date**: {Signature Date}
|
||||
|
||||
---
|
||||
|
||||
*This proposal is valid for 30 days from the date above.*
|
||||
*All amounts are in US Dollars unless otherwise specified.*
|
||||
@@ -0,0 +1,43 @@
|
||||
1|# 04 - Qwen3.5 Model Setup — Home
|
||||
2|**Purpose:** Installation and configuration guides for Qwen3.5 model variants.
|
||||
3|
|
||||
4|## Available Models
|
||||
5|
|
||||
6|### **Qwen3.5-MoE (Mixture of Experts)** — Optimized for production inference with dynamic expert routing.
|
||||
7|
|
||||
8|### **Qwen3.5-Base** — Standard dense model variant.
|
||||
9|
|
||||
10|### **Qwen3.5-FineTuned** — Domain-specific fine-tuned variants.
|
||||
11|
|
||||
12|## GPU Compatibility
|
||||
13|
|
||||
14|- **AMD Strix Halo** — See [AMD GPU Passthrough Guide](../03\ -\ AMD\ GPU\ Passthrough/00\ -\ AMD\ GPU\ Passthrough.md)
|
||||
15|- **NVIDIA RTX 4090** — Standard CUDA setup
|
||||
16|- **Multi-GPU Clusters** — Distributed inference setup
|
||||
17|
|
||||
18|## Quick Start
|
||||
19|
|
||||
20|### Install Qwen3.5-MoE via Ollama
|
||||
21|```bash
|
||||
22|ollama pull qwen3.5:250b-moe
|
||||
23|ollama serve
|
||||
24|
|
||||
25|# Run locally at 192.168.68.8:8080
|
||||
26|ollama run qwen3.5:250b-moe "What are the top AI trends for 2026?"
|
||||
27|```
|
||||
28|
|
||||
29|### Advanced Configuration
|
||||
30|
|
||||
31|For production deployments with dynamic expert selection:
|
||||
32|- See `/60\ -\ Syslog/02\ -\ TECHNICAL\ INFRASTRUCTURE/04\ -\ Qwen3.5\ Model\ Setup/01\ -\ Qwen3.5-MoE\ Configuration.md`
|
||||
33|- GPU passthrough: `/60\ -\ Syslog/02\ -\ TECHNICAL\ INFRASTRUCTURE/03\ -\ AMD\ GPU\ Passthrough/00\ -\ AMD\ GPU\ Passthrough.md`
|
||||
34|
|
||||
35|## Scripts
|
||||
36|
|
||||
37|- `vulkan-qwen35-moe-setup.sh` — Complete setup script for Qwen3.5-MoE with Vulkan backend
|
||||
38|- `qwen35-moe-inference-config.sh` — Production inference configuration script
|
||||
39|
|
||||
40|---
|
||||
41|
|
||||
42|*For AMD GPU-specific setup, refer to the AMD GPU Passthrough guide.*
|
||||
43|
|
||||
@@ -0,0 +1,52 @@
|
||||
import smtplib
|
||||
from email.message import EmailMessage
|
||||
import os
|
||||
import subprocess
|
||||
|
||||
msg = EmailMessage()
|
||||
msg['Subject'] = 'Syslog Solution Logo - Design Brief & AI Concept'
|
||||
msg['From'] = 'jerome@sysloggh.com'
|
||||
msg['To'] = 'jtabiri@gmail.com'
|
||||
|
||||
body = """Hi [Designer Name],
|
||||
|
||||
I'm looking to have an AI-generated logo concept manually traced and finalized into a clean, flat, scalable vector format (SVG/EPS).
|
||||
|
||||
Company Name: Syslog Solution
|
||||
Industry: Global Tech Consulting / Cloud Infrastructure
|
||||
|
||||
Attached is the AI-generated concept (gemini_heritage_1.png). I love the exact layout, structure, and blend of the Florida palm tree and the Ghanaian Sankofa bird. Because it's AI-generated, it needs a professional human touch to ensure the geometry is perfect, the lines are clean, and it works flawlessly as a corporate vector logo.
|
||||
|
||||
I have also attached the Design Brief (syslog-logo-brief.md) which includes the exact brand colors (Deep Slate Navy and Warm Orange) and our typography preferences.
|
||||
|
||||
Deliverables needed:
|
||||
1. Master Vector Files (SVG, EPS, transparent PNG)
|
||||
2. A few basic mockups using the final vector (e.g., business card, polo shirt embroidery, or 3D office sign)
|
||||
|
||||
Please let me know your turnaround time and rate for this vectorization and mockup project.
|
||||
|
||||
Thanks,
|
||||
Jerome Tabiri
|
||||
Syslog Solution LLC
|
||||
"""
|
||||
|
||||
msg.set_content(body)
|
||||
|
||||
# Attach image
|
||||
with open('/home/openclaw/.openclaw/workspace/syslog_logos/gemini_heritage_1.png', 'rb') as f:
|
||||
msg.add_attachment(f.read(), maintype='image', subtype='png', filename='gemini_heritage_1.png')
|
||||
|
||||
# Attach brief
|
||||
with open('/home/openclaw/.openclaw/workspace/syslog_logos/syslog-logo-brief.md', 'rb') as f:
|
||||
msg.add_attachment(f.read(), maintype='text', subtype='markdown', filename='syslog-logo-brief.md')
|
||||
|
||||
# Send via msmtp
|
||||
try:
|
||||
p = subprocess.Popen(['msmtp', '-a', 'sysloggh', 'jtabiri@gmail.com'], stdin=subprocess.PIPE, stderr=subprocess.PIPE)
|
||||
out, err = p.communicate(msg.as_bytes())
|
||||
if p.returncode == 0:
|
||||
print("Email sent successfully!")
|
||||
else:
|
||||
print(f"Error sending email: {err.decode('utf-8')}")
|
||||
except Exception as e:
|
||||
print(f"Failed to execute msmtp: {e}")
|
||||
Reference in New Issue
Block a user