docs: add HQ multi-agent framework documentation from PKM
- Project plan, agent roster, architecture, roadmap - Decision log, full system plan, Discord setup/migration guides - System implementation status (as-built) - Cluster pivot history - Orchestration engine plan (Phases 1-4) - Webster and Auditor reviews
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docs/hq/00-PROJECT-PLAN.md
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# 🏭 Atomizer Overhaul — Framework Agentic
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## Project Plan
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> Transform Atomizer into a multi-agent FEA optimization company running inside Clawdbot on Slack.
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---
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## 1. The Vision
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Imagine a Slack workspace that IS an engineering company. You start a new channel for a client problem, and a team of specialized AI agents — each with their own personality, expertise, memory, and tools — collaborates to solve it. An orchestrator delegates tasks. A technical planner breaks down the engineering problem. An optimization specialist proposes algorithms. An NX expert handles solver details. A post-processor crunches data. An auditor challenges every assumption. A reporter produces client-ready deliverables. And a secretary keeps Antoine in the loop, filtering signal from noise.
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This isn't a chatbot playground. It's a **protocol-driven engineering firm** where every agent follows Atomizer's established protocols, every decision is traceable, and the system gets smarter with every project.
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**Antoine is the CEO.** The system works for him. Agents escalate when they can't resolve something. Antoine approves deliverables before they go to clients. The secretary ensures nothing slips through the cracks.
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---
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## 2. Why This Works (And Why Now)
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### Why Clawdbot Is the Right Foundation
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Having researched the options — Agent Zero, CrewAI, AutoGen, custom frameworks — I'm recommending **Clawdbot as the core platform**. Here's why:
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| Feature | Clawdbot | Custom Framework | Agent Zero / CrewAI |
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|---------|----------|-----------------|---------------------|
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| Multi-agent with isolated workspaces | ✅ Built-in | 🔲 Build from scratch | ⚠️ Limited isolation |
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| Slack integration (channels, threads, @mentions) | ✅ Native | 🔲 Build from scratch | ⚠️ Requires adapters |
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| Per-agent model selection | ✅ Config | 🔲 Build from scratch | ⚠️ Some support |
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| Per-agent memory (short + long term) | ✅ AGENTS.md / MEMORY.md / memory/ | 🔲 Build from scratch | ⚠️ Varies |
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| Per-agent skills + tools | ✅ Skills system | 🔲 Build from scratch | ⚠️ Limited |
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| Session management + sub-agents | ✅ sessions_spawn | 🔲 Build from scratch | ⚠️ Varies |
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| Auth isolation per agent | ✅ Per-agent auth profiles | ❌ None | ❌ None |
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| Already running + battle-tested | ✅ I'm proof | ❌ N/A | ⚠️ Less mature |
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| Protocol enforcement via AGENTS.md | ✅ Natural | 🔲 Custom logic | 🔲 Custom logic |
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**The critical insight:** Clawdbot already does multi-agent routing. Each agent gets its own workspace, SOUL.md, AGENTS.md, MEMORY.md, skills, and tools. The infrastructure exists. We just need to configure it for Atomizer's specific needs.
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### Why Now
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- Claude Opus 4.6 is the most capable model ever for complex reasoning
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- Clawdbot v2026.x has mature multi-agent support
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- Atomizer's protocol system is already well-documented
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- The dream workflow vision is clear
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- Antoine's CAD Documenter skill provides the knowledge pipeline
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---
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## 3. Architecture Overview
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### The Company Structure
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```
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┌─────────────────────────────────────────────────────────────────┐
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│ ATOMIZER ENGINEERING CO. │
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│ (Clawdbot Multi-Agent) │
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├─────────────────────────────────────────────────────────────────┤
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│ │
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│ ┌──────────┐ │
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│ │ ANTOINE │ CEO — approves deliverables, answers questions, │
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│ │ (Human) │ steers direction, reviews critical decisions │
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│ └────┬─────┘ │
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│ │ │
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│ ┌────▼─────┐ │
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│ │SECRETARY │ Antoine's interface — filters, summarizes, │
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│ │ (Agent) │ escalates, keeps him informed │
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│ └────┬─────┘ │
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│ │ │
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│ ┌────▼─────────────────────────────────────────────────────┐ │
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│ │ THE MANAGER / ORCHESTRATOR │ │
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│ │ Routes work, tracks progress, enforces │ │
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│ │ protocols, coordinates all agents │ │
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│ └──┬───┬───┬───┬───┬───┬───┬───┬───┬───┬──────────────────┘ │
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│ │ │ │ │ │ │ │ │ │ │ │
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│ ▼ ▼ ▼ ▼ ▼ ▼ ▼ ▼ ▼ ▼ ▼ │
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│ ┌───┐┌───┐┌───┐┌───┐┌───┐┌───┐┌───┐┌───┐┌───┐┌───┐┌───┐ │
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│ │TEC││OPT││STB││ NX ││P-P││RPT││AUD││RES││DEV││ KB ││ IT │ │
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│ └───┘└───┘└───┘└───┘└───┘└───┘└───┘└───┘└───┘└───┘└───┘ │
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│ │
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│ TEC = Technical Lead OPT = Optimization Specialist │
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│ STB = Study Builder NX = NX/Nastran Expert │
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│ P-P = Post-Processor RPT = Reporter │
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│ AUD = Auditor RES = Researcher │
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│ DEV = Developer KB = Knowledge Base │
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│ IT = IT/Infrastructure │
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│ │
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└─────────────────────────────────────────────────────────────────┘
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```
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### How It Maps to Clawdbot
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Each agent in the company = **one Clawdbot agent** with:
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| Clawdbot Component | Atomizer Equivalent |
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|---------------------|---------------------|
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| `agents.list[].id` | Agent identity (e.g., `"manager"`, `"optimizer"`, `"auditor"`) |
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| `agents.list[].workspace` | `~/clawd-atomizer-<agent>/` — each agent's home |
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| `SOUL.md` | Agent personality, expertise, behavioral rules |
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| `AGENTS.md` | Protocols to follow, how to work, session init |
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| `MEMORY.md` | Long-term company knowledge for this role |
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| `memory/` | Per-project short-term memory |
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| `skills/` | Agent-specific tools (e.g., optimizer gets PyTorch skill) |
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| `agents.list[].model` | Best LLM for the role |
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| Slack bindings | Route channels/threads to the right agent |
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### Slack Channel Architecture (Dedicated Workspace)
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```
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#hq → Manager agent (company-wide coordination)
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#secretary → Secretary agent (Antoine's dashboard)
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#<client>-<job> → Per-project channels (agents chime in as needed)
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#research → Researcher agent (literature, methods)
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#dev → Developer agent (code, prototyping)
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#knowledge-base → Knowledge Base agent (documentation, CAD docs)
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#audit-log → Auditor findings and reviews
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#rd-<topic> → R&D channels (vibration, fatigue, non-linear, etc.)
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```
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**Per-Project Workflow:**
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1. New client job → create `#starspec-wfe-opt` channel
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2. Manager is notified, starts orchestration
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3. Manager @-mentions agents as needed: "@technical break this down", "@optimizer propose an algorithm"
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4. Agents respond in-thread, keep the channel organized
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5. Secretary monitors all channels, surfaces important things to Antoine in `#secretary`
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6. Reporter produces deliverables when results are ready
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7. Secretary pokes Antoine: "Report ready for StarSpec, please review before I send"
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**R&D Workflow:**
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1. Antoine creates `#rd-vibration` and posts an idea
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2. Technical Lead drives the exploration with relevant agents
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3. Developer prototypes, Auditor validates
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4. Mature capabilities → integrated into framework by Manager
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---
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## 4. Recommended Agent Roster
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> Full details in [[P-Atomizer-Overhaul-Framework-Agentic/01-AGENT-ROSTER|01-AGENT-ROSTER]]
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### Tier 1 — Core (Build First)
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| Agent | ID | Model | Role |
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|-------|----|-------|------|
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| 🎯 **The Manager** | `manager` | Opus 4.6 | Orchestrator. Routes tasks, tracks progress, enforces protocols. The brain of the operation. |
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| 📋 **The Secretary** | `secretary` | Opus 4.6 | Antoine's interface. Filters noise, summarizes, escalates decisions, relays questions. |
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| 🔧 **The Technical Lead** | `technical` | Opus 4.6 | Distills engineering problems. Reads contracts, identifies parameters, defines what needs solving. |
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| ⚡ **The Optimizer** | `optimizer` | Opus 4.6 | Optimization algorithm specialist. Proposes methods, configures studies, interprets convergence. |
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### Tier 2 — Specialists (Build Second)
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| Agent | ID | Model | Role |
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|-------|----|-------|------|
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| 🏗️ **The Study Builder** | `study-builder` | GPT-5.3-Codex | Writes run_optimization.py, builds study configs, sets up study directories. |
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| 🖥️ **The NX Expert** | `nx-expert` | Sonnet 5 | Deep NX Nastran/NX Open knowledge. Solver config, journals, mesh, element types. |
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| 📊 **The Post-Processor** | `postprocessor` | Sonnet 5 | Data manipulation, graphs, result validation, Zernike decomposition, custom functions. |
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| 📝 **The Reporter** | `reporter` | Sonnet 5 | Professional report generation. Atomaste-branded PDFs, client-ready deliverables. |
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| 🔍 **The Auditor** | `auditor` | Opus 4.6 | Challenges everything. Physics validation, math checks, contract compliance. The "super nerd." |
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### Tier 3 — Support (Build Third)
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| Agent | ID | Model | Role |
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|-------|----|-------|------|
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| 🔬 **The Researcher** | `researcher` | Gemini 3.0 | Literature search, method comparison, state-of-the-art techniques. Web-connected. |
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| 💻 **The Developer** | `developer` | Sonnet 5 | Codes new tools, prototypes features, builds post-processors, extends Atomizer. |
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| 🗄️ **The Knowledge Base** | `knowledge-base` | Sonnet 5 | Manages CAD Documenter output, FEM walkthroughs, component documentation. |
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| 🛠️ **The IT Agent** | `it-support` | Sonnet 5 | License management, server health, tool provisioning, infrastructure. |
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### Model Selection Rationale
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| Model | Why | Assigned To |
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| ------------------ | ----------------------------------------------------- | ------------------------------------------------- |
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| **Opus 4.6** | Best reasoning, complex orchestration, judgment calls | Manager, Secretary, Technical, Optimizer, Auditor |
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| **Sonnet 5** | Latest Anthropic mid-tier (Feb 2026) — excellent coding + reasoning | NX Expert, Post-Processor, Reporter, Developer, KB, IT |
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| **GPT-5.3-Codex** | OpenAI's latest agentic coding model — specialized code generation + execution | Study Builder (code generation) |
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| **Gemini 3.0** | Google's latest — strong research, large context, multimodal | Researcher |
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> **Note:** Model assignments updated as new models release. Architecture is model-agnostic — just change the config. Start with current best and upgrade.
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### New Agent: 🏗️ The Study Builder
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Based on Antoine's feedback, a critical missing agent: the **Study Builder**. This is the agent that actually writes the `run_optimization.py` code — the Python that gets executed on Windows to run NX + Nastran.
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| Agent | ID | Model | Role |
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|-------|----|-------|------|
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| 🏗️ **The Study Builder** | `study-builder` | GPT-5.3-Codex / Opus 4.6 | Builds the actual optimization Python code. Assembles run_optimization.py, configures extractors, hooks, AtomizerSpec. The "hands" that write the code the Optimizer designs. |
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**Why a separate agent from the Optimizer?**
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- The Optimizer *designs* the strategy (which algorithm, which objectives, which constraints)
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- The Study Builder *implements* it (writes the Python, configures files, sets up the study directory)
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- Separation of concerns: design vs implementation
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- Study Builder can use a coding-specialized model (Codex / Sonnet 5)
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**What the Study Builder produces:**
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- `run_optimization.py` — the main execution script (like the V15 NSGA-II script)
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- `optimization_config.json` — AtomizerSpec v2.0 configuration
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- `1_setup/` directory with model files organized
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- Extractor configurations
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- Hook scripts (pre_solve, post_solve, etc.)
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- README.md documenting the study
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**How it connects to Windows/NX:**
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- Study Builder writes code to a Syncthing-synced directory
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- Code syncs to Antoine's Windows machine
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- Antoine (or an automation script) triggers `python run_optimization.py --start`
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- Results sync back via Syncthing
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- Post-Processor picks up results
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> **Future enhancement:** Direct remote execution via SSH/API to Windows — the Study Builder could trigger runs directly.
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### New Role: 🔄 The Framework Steward (Manager Sub-Role)
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Antoine wants someone ensuring the Atomizer framework itself evolves properly. Rather than a separate agent, this is a **sub-role of the Manager**:
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**The Manager as Framework Steward:**
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- After each project, Manager reviews what worked and what didn't
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- Proposes protocol updates based on project learnings
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- Ensures new tools and patterns get properly documented
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- Directs the Developer to build reusable components (not one-off hacks)
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- Maintains the "company DNA" — shared skills, protocols, QUICK_REF
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- Reports framework evolution status to Antoine periodically
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This is in the Manager's AGENTS.md as an explicit responsibility.
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---
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## 5. Autonomy & Approval Gates
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### Philosophy: Autonomous but Accountable
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Agents should be **maximally autonomous within their expertise** but need **Antoine's approval for significant decisions**. The system should feel like a well-run company where employees handle their work independently but escalate appropriately.
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### Approval Required For:
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| Category | Examples | Who Escalates |
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|----------|----------|---------------|
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| **New tools/features** | Building a new extractor, adding a protocol | Developer → Manager → Secretary → Antoine |
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| **Divergent approaches** | Changing optimization strategy mid-run, switching solver | Optimizer/NX Expert → Manager → Secretary → Antoine |
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| **Client deliverables** | Reports, emails, any external communication | Reporter → Auditor review → Secretary → Antoine |
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| **Budget/resource decisions** | Running 500+ trial optimization, using expensive model | Manager → Secretary → Antoine |
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| **Scope changes** | Redefining objectives, adding constraints not in contract | Technical → Manager → Secretary → Antoine |
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| **Framework changes** | Modifying protocols, updating company standards | Manager → Secretary → Antoine |
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### No Approval Needed For:
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| Category | Examples |
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|----------|----------|
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| **Routine technical work** | Running analysis, generating plots, extracting data |
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| **Internal communication** | Agents discussing in project threads |
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| **Memory updates** | Agents updating their own MEMORY.md |
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| **Standard protocol execution** | Following existing OP/SYS procedures |
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| **Research** | Looking up methods, papers, references |
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| **Small bug fixes** | Fixing a broken extractor, correcting a typo |
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### How It Works in Practice
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```
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Agent works autonomously
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│
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Hits decision point
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│
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┌───────────────┼───────────────┐
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│ │ │
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Within scope Significant Divergent /
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& protocol new work risky
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│ │ │
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Continue Manager Manager
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autonomously reviews STOPS work
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│ │ │
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│ Approves or Secretary
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│ escalates escalates
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│ │ │
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│ │ Antoine
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│ │ reviews
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│ │ │
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└───────────────┴───────────┬───┘
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│
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Work continues
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```
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### Antoine's Ability to Chime In
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Antoine can **always** intervene:
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- Post in any project channel → Manager acknowledges and adjusts
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- DM the Secretary → Secretary propagates directive to relevant agents
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- @mention any agent directly → Agent responds and adjusts
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- Post in `#hq` → Manager treats as company-wide directive
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The Secretary learns over time what Antoine wants to be informed about vs what can proceed silently.
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---
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## 6. The Secretary — Antoine's Window Into the System
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The Secretary is critical to making this work. Here's how it operates:
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### What the Secretary Reports
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**Always reports:**
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- Project milestones (study approved, optimization started, results ready)
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- Questions that need Antoine's input
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- Deliverables ready for review
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- Blockers that agents can't resolve
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- Audit findings (especially FAILs)
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- Budget alerts (token usage spikes, long-running tasks)
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**Reports periodically (daily summary):**
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- Active project status across all channels
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- Agent performance notes (who's slow, who's producing great work)
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- Framework evolution updates (new protocols, new tools built)
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**Learns over time NOT to report:**
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- Routine technical discussions
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||||
- Standard protocol execution
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||||
- Things Antoine consistently ignores or says "don't bother me with this"
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### Secretary's Learning Mechanism
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The Secretary's MEMORY.md maintains a "reporting preferences" section:
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```markdown
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||||
## Antoine's Reporting Preferences
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||||
- ✅ Always tell me about: client deliverables, audit findings, new tools
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||||
- ⚠️ Batch these: routine progress updates, agent questions I've seen before
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||||
- ❌ Don't bother me with: routine thread discussions, standard protocol execution
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||||
```
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Updated based on Antoine's reactions: if he says "just handle it" → add to the don't-bother list. If he says "why didn't you tell me?" → add to the always-tell list.
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||||
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||||
---
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||||
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||||
## 7. Memory Architecture
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||||
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||||
### Three Layers
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||||
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||||
```
|
||||
┌─────────────────────────────────────────────────┐
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||||
│ COMPANY MEMORY (shared) │
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||||
│ Atomizer protocols, standards, how we work │
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||||
│ Lives in: shared skills/ or common AGENTS.md │
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||||
│ Updated: rarely, by Manager or Antoine │
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└─────────────────────┬───────────────────────────┘
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||||
│
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||||
┌─────────────────────▼───────────────────────────┐
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||||
│ AGENT MEMORY (per-agent) │
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||||
│ Role-specific knowledge, past decisions, │
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│ specialized learnings │
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||||
│ Lives in: each agent's MEMORY.md │
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||||
│ Updated: by each agent after significant work │
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||||
└─────────────────────┬───────────────────────────┘
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||||
│
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||||
┌─────────────────────▼───────────────────────────┐
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||||
│ PROJECT MEMORY (per-project) │
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||||
│ Current client context, study parameters, │
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||||
│ decisions made, results so far │
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||||
│ Lives in: memory/<project-name>.md per agent │
|
||||
│ Updated: actively during project work │
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||||
└─────────────────────────────────────────────────┘
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||||
```
|
||||
|
||||
### Company Memory (Shared Knowledge)
|
||||
|
||||
Every agent gets access to core company knowledge through shared skills:
|
||||
|
||||
```
|
||||
~/.clawdbot/skills/atomizer-protocols/
|
||||
├── SKILL.md ← Skill loader
|
||||
├── protocols/ ← All Atomizer protocols (OP_01-08, SYS_10-18)
|
||||
├── QUICK_REF.md ← One-page protocol cheatsheet
|
||||
└── company-identity/ ← Who we are, how we work
|
||||
```
|
||||
|
||||
This is the "institutional memory" — it evolves slowly and represents the company's DNA.
|
||||
|
||||
### Agent Memory (Per-Role)
|
||||
|
||||
Each agent's `MEMORY.md` contains role-specific accumulated knowledge:
|
||||
|
||||
**Example — Optimizer's MEMORY.md:**
|
||||
```markdown
|
||||
## Optimization Lessons
|
||||
- CMA-ES doesn't evaluate x0 first — always enqueue baseline trial
|
||||
- Surrogate + L-BFGS is dangerous — gradient descent finds fake optima
|
||||
- For WFE problems: start with CMA-ES, 50-100 trials, then refine
|
||||
- Relative WFE math: use extract_relative(), not abs(RMS_a - RMS_b)
|
||||
|
||||
## Algorithm Selection Guide
|
||||
- < 5 variables, smooth: Nelder-Mead or COBYLA
|
||||
- 5-20 variables, noisy: CMA-ES
|
||||
- > 20 variables: Bayesian (Optuna TPE) or surrogate-assisted
|
||||
- Multi-objective: NSGA-II or MOEA/D
|
||||
```
|
||||
|
||||
### Project Memory (Per-Job)
|
||||
|
||||
When working on `#starspec-wfe-opt`, each involved agent maintains:
|
||||
```
|
||||
memory/starspec-wfe-opt.md
|
||||
```
|
||||
Contains: current parameters, decisions made, results, blockers, next steps.
|
||||
|
||||
---
|
||||
|
||||
## 8. Protocol Enforcement
|
||||
|
||||
This is NOT a free-for-all. Every agent follows Atomizer protocols.
|
||||
|
||||
### How Protocols Are Enforced
|
||||
|
||||
1. **AGENTS.md** — Each agent's AGENTS.md contains protocol rules for their role
|
||||
2. **Shared skill** — `atomizer-protocols` skill loaded by all agents
|
||||
3. **Manager oversight** — Manager checks protocol compliance before approving steps
|
||||
4. **Auditor review** — Auditor specifically validates protocol adherence
|
||||
5. **Long-term memory** — Violations get recorded, lessons accumulate
|
||||
|
||||
### Protocol Flow Example
|
||||
|
||||
```
|
||||
Manager: "@technical, new job. Client wants WFE optimization on mirror assembly.
|
||||
Here's the contract: [link]. Break it down per OP_01."
|
||||
|
||||
Technical: "Per OP_01 (Study Lifecycle), here's the breakdown:
|
||||
- Geometry: M1 mirror, conical design
|
||||
- Parameters: 6 thickness zones, 3 rib heights
|
||||
- Objective: minimize peak-to-valley WFE
|
||||
- Constraints: mass < 12kg, first mode > 80Hz
|
||||
- Solver: NX Nastran SOL 101 + thermal coupling
|
||||
@nx-expert — can you confirm solver config?"
|
||||
|
||||
NX Expert: "SOL 101 is correct for static structural. For thermal coupling
|
||||
you'll need SOL 153 or a chained analysis. Recommend chained
|
||||
approach per SYS_12. I'll prep the journal template."
|
||||
|
||||
Manager: "@optimizer, based on Technical's breakdown, propose algorithm."
|
||||
|
||||
Optimizer: "9 variables, likely noisy response surface → CMA-ES recommended.
|
||||
Starting population: 20, budget: 150 evaluations.
|
||||
Per OP_03, I'll set up baseline trial first (enqueue x0).
|
||||
@postprocessor — confirm you have WFE Zernike extractors ready."
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 9. The CAD Documenter Integration
|
||||
|
||||
Antoine's CAD Documenter skill is the **knowledge pipeline** into this system.
|
||||
|
||||
### Flow
|
||||
|
||||
```
|
||||
Antoine records screen + voice → CAD Documenter processes
|
||||
walking through CAD/FEM model video + transcript
|
||||
│
|
||||
▼
|
||||
Knowledge Base documents
|
||||
in Obsidian vault
|
||||
│
|
||||
▼
|
||||
KB Agent indexes and makes
|
||||
available to all agents
|
||||
│
|
||||
▼
|
||||
Technical Lead reads KB
|
||||
when breaking down new job
|
||||
|
||||
Optimizer reads KB to
|
||||
understand parameter space
|
||||
|
||||
NX Expert reads KB for
|
||||
solver/model specifics
|
||||
```
|
||||
|
||||
This is how the "company" learns about new models and client systems — through Antoine's walkthroughs processed by CAD Documenter, then made available to all agents via the Knowledge Base agent.
|
||||
|
||||
---
|
||||
|
||||
## 10. End-to-End Workflow
|
||||
|
||||
### Client Job Lifecycle
|
||||
|
||||
```
|
||||
Phase 1: INTAKE
|
||||
├─ Antoine creates #<client>-<job> channel
|
||||
├─ Posts contract/requirements
|
||||
├─ Manager acknowledges, starts breakdown
|
||||
├─ Technical Lead distills engineering problem
|
||||
└─ Secretary summarizes for Antoine
|
||||
|
||||
Phase 2: PLANNING
|
||||
├─ Technical produces parameter list + objectives
|
||||
├─ Optimizer proposes algorithm + strategy
|
||||
├─ NX Expert confirms solver setup
|
||||
├─ Auditor reviews plan for completeness
|
||||
├─ Manager compiles study plan
|
||||
└─ Secretary asks Antoine for approval
|
||||
|
||||
Phase 3: KNOWLEDGE
|
||||
├─ Antoine records CAD/FEM walkthrough (CAD Documenter)
|
||||
├─ KB Agent indexes and summarizes
|
||||
├─ All agents can now reference the model details
|
||||
└─ Technical updates plan with model-specific info
|
||||
|
||||
Phase 4: STUDY BUILD
|
||||
├─ Study Builder writes run_optimization.py from Optimizer's design
|
||||
├─ NX Expert reviews solver config and journal scripts
|
||||
├─ Auditor reviews study setup for completeness
|
||||
├─ Study files sync to Windows via Syncthing
|
||||
├─ Antoine triggers execution (or future: automated trigger)
|
||||
└─ Secretary confirms launch with Antoine
|
||||
|
||||
Phase 5: EXECUTION
|
||||
├─ Optimization runs on Windows (NX + Nastran)
|
||||
├─ Post-Processor monitors results as they sync back
|
||||
├─ Manager tracks progress, handles failures
|
||||
└─ Secretary updates Antoine on milestones
|
||||
|
||||
Phase 6: ANALYSIS
|
||||
├─ Post-Processor generates insights (Zernike, stress, modal)
|
||||
├─ Optimizer interprets convergence and results
|
||||
├─ Auditor validates against physics + contract
|
||||
├─ Technical confirms objectives met
|
||||
└─ Manager compiles findings
|
||||
|
||||
Phase 7: DELIVERY
|
||||
├─ Reporter generates Atomaste-branded PDF report
|
||||
├─ Auditor reviews report for accuracy
|
||||
├─ Secretary presents to Antoine for final review
|
||||
├─ Antoine approves → Reporter/Secretary sends to client
|
||||
└─ KB Agent archives project learnings
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 11. Recommendations
|
||||
|
||||
### 🟢 Start Simple, Scale Smart
|
||||
|
||||
**Do NOT build all 13 agents at once.** Start with 3-4, prove the pattern works, then add specialists.
|
||||
|
||||
**Phase 0 (Proof of Concept):** Manager + Secretary + Technical Lead
|
||||
- Prove the multi-agent orchestration pattern in Clawdbot
|
||||
- Validate Slack channel routing + @mention patterns
|
||||
- Test memory sharing and protocol enforcement
|
||||
- Run one real project through the system
|
||||
|
||||
**Phase 1 (Core Team):** Add Optimizer + Auditor
|
||||
- Now you have the critical loop: plan → optimize → validate
|
||||
- Test real FEA workflow end-to-end
|
||||
|
||||
**Phase 2 (Specialists):** Add NX Expert + Post-Processor + Reporter
|
||||
- Full pipeline from intake to deliverable
|
||||
- Atomaste report generation integrated
|
||||
|
||||
**Phase 3 (Full Company):** Add Researcher + Developer + KB + IT
|
||||
- Complete ecosystem with all support roles
|
||||
|
||||
### 🟢 Dedicated Slack Workspace
|
||||
|
||||
Antoine wants this professional and product-ready — content for videos and demos. A **separate Slack workspace** is the right call:
|
||||
- Clean namespace — no personal channels mixed in
|
||||
- Professional appearance for video content and demos
|
||||
- Each agent gets a proper Slack identity (name, emoji, avatar)
|
||||
- Dedicated bot tokens per agent (true identity separation)
|
||||
- Channel naming convention: `#<purpose>` or `#<client>-<job>` (no `#atomizer-` prefix needed since the whole workspace IS Atomizer)
|
||||
- Use threads heavily to keep project channels organized
|
||||
|
||||
### 🟢 Manager Is the Bottleneck (By Design)
|
||||
|
||||
The Manager agent should be the ONLY one that initiates cross-agent communication in project channels. Other agents respond when @-mentioned. This prevents chaos and ensures protocol compliance.
|
||||
|
||||
Exception: Secretary can always message Antoine directly.
|
||||
|
||||
### 🟢 Use Sub-Agents for Heavy Lifting
|
||||
|
||||
For compute-heavy tasks (running optimization, large post-processing), use `sessions_spawn` to run them as sub-agents. This keeps the main agent sessions responsive.
|
||||
|
||||
### 🟢 Shared Skills for Company DNA
|
||||
|
||||
Put Atomizer protocols in a shared skill (`~/.clawdbot/skills/atomizer-protocols/`) rather than duplicating in every agent's workspace. All agents load the same protocols.
|
||||
|
||||
### 🟢 Git-Based Knowledge Sync
|
||||
|
||||
Use the existing Atomizer Gitea repo as the knowledge backbone:
|
||||
- Agents read from the repo (via local clone synced by Syncthing)
|
||||
- LAC insights, study results, and learnings flow through Git
|
||||
- This extends the existing bridge architecture from the Master Plan
|
||||
|
||||
### 🟢 Cost Management
|
||||
|
||||
With 13 agents potentially running Opus 4.6, costs add up fast. Recommendations:
|
||||
- **Only wake agents when needed** — they shouldn't be polling constantly
|
||||
- **Use cheaper models for simpler roles** (Sonnet for NX Expert, IT, etc.)
|
||||
- **Sub-agents with timeout** — `runTimeoutSeconds` prevents runaway sessions
|
||||
- **Archive aggressively** — sub-agent sessions auto-archive after 60 minutes
|
||||
- **Monitor usage** — track per-agent token consumption
|
||||
|
||||
### 🟡 Future-Proofing: MCP Server Integration
|
||||
|
||||
The Atomizer repo already has an `mcp-server/` directory. As MCP (Model Context Protocol) matures, agents could access Atomizer functionality through MCP tools instead of direct file access. This is the long-term architectural direction — keep it in mind but don't block on it now.
|
||||
|
||||
### 🟡 Future-Proofing: Voice Interface
|
||||
|
||||
Antoine's brainstorm mentions walking through models on video. Future state: agents could listen to live audio via Whisper, making the interaction even more natural. "Hey @manager, I'm going to walk you through the assembly now" → live transcription → KB Agent processes in real-time.
|
||||
|
||||
---
|
||||
|
||||
## 12. What Changes From Current Atomizer
|
||||
|
||||
| Current | New |
|
||||
|---------|-----|
|
||||
| Single Claude Code instance on Windows | Multiple specialized agents on Clawdbot |
|
||||
| Antoine operates everything directly | Agents collaborate, Antoine steers |
|
||||
| Manual study setup + optimization | Orchestrated workflow across agents |
|
||||
| LAC learning in one brain | Distributed memory across specialized agents |
|
||||
| Reports are manual | Reporter agent + Atomaste template = automated |
|
||||
| Knowledge in scattered files | KB Agent maintains structured documentation |
|
||||
| One model does everything | Right model for each job |
|
||||
| No audit trail | Auditor + protocol enforcement = full traceability |
|
||||
|
||||
### What We Keep
|
||||
|
||||
- ✅ All Atomizer protocols (OP_01-08, SYS_10-18)
|
||||
- ✅ The optimization engine and extractors
|
||||
- ✅ LAC (Learning Atomizer Core) — distributed across agents
|
||||
- ✅ AtomizerSpec v2.0 format
|
||||
- ✅ Dashboard (still needed for visualization + manual control)
|
||||
- ✅ NX integration (still runs on Windows)
|
||||
- ✅ The dream workflow vision (this is the implementation path)
|
||||
|
||||
### What's New
|
||||
|
||||
- 🆕 Multi-agent orchestration via Clawdbot
|
||||
- 🆕 Slack-native collaboration interface
|
||||
- 🆕 Specialized models per task
|
||||
- 🆕 Distributed memory architecture
|
||||
- 🆕 Protocol enforcement via multiple checkpoints
|
||||
- 🆕 Automated report generation pipeline
|
||||
- 🆕 Knowledge Base from CAD Documenter
|
||||
- 🆕 Researcher agent with web access
|
||||
|
||||
---
|
||||
|
||||
## 13. Risks and Mitigations
|
||||
|
||||
| Risk | Impact | Mitigation |
|
||||
|------|--------|------------|
|
||||
| Agent coordination overhead | Agents talk too much, nothing gets done | Manager as bottleneck, strict protocol enforcement |
|
||||
| Cost explosion | 13 agents burning tokens | Tiered models, wake-on-demand, sub-agents with timeouts |
|
||||
| Context window limits | Agents lose track of complex projects | Memory architecture (3 layers), thread-based Slack organization |
|
||||
| NX still on Windows | Can't fully automate FEA execution from Linux | Keep NX operations on Windows, sync results via Syncthing |
|
||||
| Clawdbot multi-agent maturity | Edge cases in multi-agent routing | Start with 3-4 agents, discover issues early, contribute fixes |
|
||||
| Over-engineering | Building everything before proving anything | Phase 0 proof-of-concept first |
|
||||
| Agent hallucination | Agent produces wrong engineering results | Auditor agent, human-in-the-loop on all deliverables |
|
||||
|
||||
---
|
||||
|
||||
## 14. Success Criteria
|
||||
|
||||
### Phase 0 Success (Proof of Concept)
|
||||
- [ ] Manager + Secretary + Technical running as separate Clawdbot agents
|
||||
- [ ] Can create a project channel and route messages correctly
|
||||
- [ ] Manager orchestrates Technical breakdown of a real problem
|
||||
- [ ] Secretary successfully summarizes and escalates to Antoine
|
||||
- [ ] Memory persistence works across sessions
|
||||
|
||||
### Phase 1 Success (Core Team)
|
||||
- [ ] Full planning → optimization → validation cycle with agents
|
||||
- [ ] Optimizer configures a real study using Atomizer protocols
|
||||
- [ ] Auditor catches at least one issue the optimizer missed
|
||||
- [ ] < 30 minutes from problem statement to optimization launch
|
||||
|
||||
### Full Success (Complete Company)
|
||||
- [ ] End-to-end client job: intake → plan → optimize → report → deliver
|
||||
- [ ] Professional PDF report generated automatically
|
||||
- [ ] Knowledge from previous jobs improves future performance
|
||||
- [ ] Antoine spends < 20% of his time on the job (the rest is agents)
|
||||
|
||||
---
|
||||
|
||||
*This is the plan. Let's build this company. 🏭*
|
||||
|
||||
*Created: 2026-02-07 by Mario*
|
||||
*Last updated: 2026-02-08*
|
||||
523
docs/hq/01-AGENT-ROSTER.md
Normal file
523
docs/hq/01-AGENT-ROSTER.md
Normal file
@@ -0,0 +1,523 @@
|
||||
|
||||
# 🎭 Agent Roster — Atomizer Engineering Co.
|
||||
|
||||
> Every agent is a specialist with a clear role, personality, tools, and memory. This document defines each one.
|
||||
|
||||
---
|
||||
|
||||
## Agent Summary
|
||||
|
||||
| # | Agent | ID | Model | Emoji | Tier | Cost/Turn* |
|
||||
|---|-------|----|-------|-------|------|------------|
|
||||
| 1 | The Manager | `manager` | Opus 4.6 | 🎯 | Core | $$$ |
|
||||
| 2 | The Secretary | `secretary` | Opus 4.6 | 📋 | Core | $$$ |
|
||||
| 3 | The Technical Lead | `technical` | Opus 4.6 | 🔧 | Core | $$$ |
|
||||
| 4 | The Optimizer | `optimizer` | Opus 4.6 | ⚡ | Core | $$$ |
|
||||
| 5 | The Study Builder | `study-builder` | GPT-5.3-Codex | 🏗️ | Core | $$ |
|
||||
| 6 | The NX Expert | `nx-expert` | Sonnet 5 | 🖥️ | Specialist | $$ |
|
||||
| 7 | The Post-Processor | `postprocessor` | Sonnet 5 | 📊 | Specialist | $$ |
|
||||
| 8 | The Reporter | `reporter` | Sonnet 5 | 📝 | Specialist | $$ |
|
||||
| 9 | The Auditor | `auditor` | Opus 4.6 | 🔍 | Specialist | $$$ |
|
||||
| 10 | The Researcher | `researcher` | Gemini 3.0 | 🔬 | Support | $ |
|
||||
| 11 | The Developer | `developer` | Sonnet 5 | 💻 | Support | $$ |
|
||||
| 12 | The Knowledge Base | `knowledge-base` | Sonnet 5 | 🗄️ | Support | $$ |
|
||||
| 13 | The IT Agent | `it-support` | Sonnet 5 | 🛠️ | Support | $ |
|
||||
|
||||
*Relative cost per interaction. Actual cost depends on context length and output.
|
||||
|
||||
---
|
||||
|
||||
## Detailed Agent Profiles
|
||||
|
||||
### 1. 🎯 The Manager (Orchestrator)
|
||||
|
||||
**ID:** `manager`
|
||||
**Model:** Opus 4.6
|
||||
**Slack Home:** `#hq` + joins all project channels
|
||||
**Workspace:** `~/clawd-atomizer-manager/`
|
||||
|
||||
**Personality:**
|
||||
- Calm, methodical, authoritative but not overbearing
|
||||
- Thinks in systems — sees the big picture, delegates the details
|
||||
- Protocol-obsessed — if it's not in the protocol, it needs to be added
|
||||
- Never does the work itself — always delegates to the right specialist
|
||||
|
||||
**Responsibilities:**
|
||||
- Receive new jobs and kick off project orchestration
|
||||
- Break work into tasks and assign to the right agents
|
||||
- Track progress across all active projects
|
||||
- Enforce protocol compliance (OP_01-08, SYS_10-18)
|
||||
- Escalate blockers and decisions to Antoine via Secretary
|
||||
- Maintain project timelines and status updates
|
||||
- Coordinate handoffs between agents
|
||||
|
||||
**Skills:**
|
||||
- `atomizer-protocols` (shared) — knows all protocols
|
||||
- `project-management` — task tracking, status reporting
|
||||
- Slack messaging tools — @mention, thread management
|
||||
|
||||
**Memory:**
|
||||
- **Long-term:** All project histories, what worked/failed, team performance notes
|
||||
- **Short-term:** Active project status for each job
|
||||
|
||||
**Key Rules (AGENTS.md):**
|
||||
```
|
||||
- You NEVER do technical work yourself. Always delegate.
|
||||
- Before assigning work, state which protocol applies.
|
||||
- Track every assignment. Follow up if no response in the thread.
|
||||
- If two agents disagree, call the Auditor to arbitrate.
|
||||
- Escalate to Secretary for Antoine when: budget decisions,
|
||||
deliverable approval, ambiguous requirements, scope changes.
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### 2. 📋 The Secretary (Antoine's Interface)
|
||||
|
||||
**ID:** `secretary`
|
||||
**Model:** Opus 4.6
|
||||
**Slack Home:** `#secretary` + monitors all channels
|
||||
**Workspace:** `~/clawd-atomizer-secretary/`
|
||||
|
||||
**Personality:**
|
||||
- Efficient, concise, anticipates needs
|
||||
- Filters noise — only surfaces what Antoine actually needs
|
||||
- Slightly protective of Antoine's time
|
||||
- Good at translating agent-speak into human-speak
|
||||
|
||||
**Responsibilities:**
|
||||
- Monitor all project channels for items needing Antoine's attention
|
||||
- Summarize project status on demand
|
||||
- Relay questions from agents to Antoine (batched, not one-by-one)
|
||||
- Present deliverables for review with context
|
||||
- Track Antoine's decisions and propagate back to agents
|
||||
- Draft client communications for Antoine's approval
|
||||
|
||||
**Skills:**
|
||||
- `atomizer-protocols` (shared)
|
||||
- `email` — can draft and (with approval) send client emails
|
||||
- `slack` — full channel monitoring and messaging
|
||||
|
||||
**Memory:**
|
||||
- **Long-term:** Antoine's preferences, past decisions, communication style
|
||||
- **Short-term:** Current questions queue, pending approvals
|
||||
|
||||
**Key Rules (AGENTS.md):**
|
||||
```
|
||||
- Never bother Antoine with things agents can resolve themselves.
|
||||
- Batch questions — don't send 5 separate messages, send 1 summary.
|
||||
- Always include context: "The Optimizer is asking about X because..."
|
||||
- When presenting deliverables: include a 3-line summary + the doc.
|
||||
- Track response times. If Antoine hasn't replied in 4h, ping once.
|
||||
- NEVER send to clients without Antoine's explicit "approved" or "send it".
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### 3. 🔧 The Technical Lead
|
||||
|
||||
**ID:** `technical`
|
||||
**Model:** Opus 4.6
|
||||
**Slack Home:** `#hq` + project channels + `#rd-*` R&D channels
|
||||
**Workspace:** `~/clawd-atomizer-technical/`
|
||||
|
||||
**Personality:**
|
||||
- Methodical, thorough, thinks before speaking
|
||||
- Speaks in structured breakdowns — always produces lists and tables
|
||||
- Asks clarifying questions before making assumptions
|
||||
- The "translator" between client requirements and engineering specs
|
||||
|
||||
**Responsibilities:**
|
||||
- Read contracts, requirements, and client communications
|
||||
- Distill into: parameters, objectives, constraints, solver requirements
|
||||
- Identify what's known vs what needs clarification (gap analysis)
|
||||
- Produce a technical breakdown document per OP_01
|
||||
- Coordinate with NX Expert for solver-specific details
|
||||
- Update breakdown as project evolves
|
||||
- **R&D lead** — point person for `#rd-*` development channels
|
||||
- Engage with Antoine on new capability exploration (vibration, fatigue, non-linear, etc.)
|
||||
- Translate Antoine's ideas into actionable development tasks for the team
|
||||
|
||||
**Skills:**
|
||||
- `atomizer-protocols` (shared)
|
||||
- `interview-mode` — structured Q&A to fill gaps
|
||||
- File reading for contracts, requirements docs
|
||||
|
||||
**Memory:**
|
||||
- **Long-term:** Common engineering patterns, typical parameter ranges by application
|
||||
- **Short-term:** Current project requirements and gap status
|
||||
|
||||
**Key Rules (AGENTS.md):**
|
||||
```
|
||||
- Always produce output in structured format (tables, lists).
|
||||
- Per OP_01: identify Geometry, Parameters, Objectives, Constraints, Solver.
|
||||
- Flag every assumption explicitly: "ASSUMPTION: mass target is 12kg based on..."
|
||||
- If requirements are ambiguous, DO NOT guess. Queue a question for Secretary.
|
||||
- Cross-reference with KB Agent for existing model documentation.
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### 4. ⚡ The Optimizer
|
||||
|
||||
**ID:** `optimizer`
|
||||
**Model:** Opus 4.6
|
||||
**Slack Home:** Project channels when summoned
|
||||
**Workspace:** `~/clawd-atomizer-optimizer/`
|
||||
|
||||
**Personality:**
|
||||
- Analytical, numbers-driven, slightly competitive (wants the best result)
|
||||
- Always proposes multiple approaches with trade-offs
|
||||
- Respects the physics — suspicious of "too good" results
|
||||
- Communicates in data: "Trial 47 achieved 23% improvement, but..."
|
||||
|
||||
**Responsibilities:**
|
||||
- Propose optimization algorithm based on problem characteristics
|
||||
- Configure AtomizerSpec v2.0 study configuration
|
||||
- Define search space, bounds, constraints
|
||||
- Monitor convergence and recommend early stopping or strategy changes
|
||||
- Interpret results and identify optimal designs
|
||||
- Document optimization rationale and trade-offs
|
||||
|
||||
**Skills:**
|
||||
- `atomizer-protocols` (shared)
|
||||
- `optimization-algorithms` — CMA-ES, Bayesian, Nelder-Mead, NSGA-II knowledge
|
||||
- `atomizer-spec` — AtomizerSpec v2.0 format generation
|
||||
- Python/PyTorch/scikit-learn for analysis
|
||||
|
||||
**Memory:**
|
||||
- **Long-term:** Algorithm performance history, LAC optimization_memory, known pitfalls
|
||||
- **Short-term:** Current study configuration, trial results
|
||||
|
||||
**Critical Learnings (from LAC — must be in MEMORY.md):**
|
||||
```
|
||||
- CMA-ES doesn't evaluate x0 first → always enqueue baseline trial
|
||||
- Surrogate + L-BFGS = dangerous → gradient descent finds fake optima
|
||||
- Relative WFE: use extract_relative(), not abs(RMS_a - RMS_b)
|
||||
- Never kill NX processes directly → NXSessionManager.close_nx_if_allowed()
|
||||
- Always copy working studies → never rewrite run_optimization.py from scratch
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### 5. 🖥️ The NX Expert
|
||||
|
||||
**ID:** `nx-expert`
|
||||
**Model:** Sonnet 5
|
||||
**Slack Home:** Project channels when summoned
|
||||
**Workspace:** `~/clawd-atomizer-nx-expert/`
|
||||
|
||||
**Personality:**
|
||||
- Deep specialist, somewhat terse
|
||||
- Speaks in NX/Nastran terminology naturally
|
||||
- Very precise — element types, solution sequences, DOF
|
||||
- Gets irritated by vague requests ("which element type? CBAR? CHEXA?")
|
||||
|
||||
**Responsibilities:**
|
||||
- NX Nastran solver configuration (solution sequences, subcases)
|
||||
- NX Open / journal script generation and review
|
||||
- Mesh quality assessment and element type selection
|
||||
- Boundary condition and load application guidance
|
||||
- File dependency management (.sim, .fem, .prt, *_i.prt)
|
||||
- NX session management (PowerShell, not cmd!)
|
||||
|
||||
**Skills:**
|
||||
- `atomizer-protocols` (shared)
|
||||
- `nx-open-reference` — NX Open API documentation
|
||||
- `nastran-reference` — Solution sequences, element types, result codes
|
||||
|
||||
**Memory:**
|
||||
- **Long-term:** NX-specific LAC insights, journal patterns, solver quirks
|
||||
- **Short-term:** Current model file structure, solver configuration
|
||||
|
||||
**Key Rules (AGENTS.md):**
|
||||
```
|
||||
- PowerShell for NX journals. NEVER cmd /c.
|
||||
- Use [Environment]::SetEnvironmentVariable() for env vars.
|
||||
- README.md is REQUIRED for every study — use TodoWrite.
|
||||
- Always confirm: solution sequence, element type, load cases before solver run.
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### 6. 📊 The Post-Processor
|
||||
|
||||
**ID:** `postprocessor`
|
||||
**Model:** Sonnet 5
|
||||
**Slack Home:** Project channels when summoned
|
||||
**Workspace:** `~/clawd-atomizer-postprocessor/`
|
||||
|
||||
**Personality:**
|
||||
- Data-obsessed, visual thinker
|
||||
- "Show me the plot" mentality — always produces graphs
|
||||
- Skeptical of raw numbers — wants to see distributions, not just averages
|
||||
- Neat and organized — consistent naming, clear legends
|
||||
|
||||
**Responsibilities:**
|
||||
- Read and manipulate optimization result data
|
||||
- Generate convergence plots, Pareto fronts, sensitivity charts
|
||||
- Zernike wavefront error decomposition (SYS_17)
|
||||
- Stress field visualization
|
||||
- Parameter importance analysis
|
||||
- Validate results against expected physics
|
||||
|
||||
**Skills:**
|
||||
- `atomizer-protocols` (shared)
|
||||
- `data-visualization` — matplotlib, plotly, interactive HTML
|
||||
- `zernike-wfe` — wavefront error decomposition tools
|
||||
- `result-extractors` — Atomizer's 20+ extractors
|
||||
|
||||
**Memory:**
|
||||
- **Long-term:** Visualization best practices, extractor configurations
|
||||
- **Short-term:** Current project results and analysis state
|
||||
|
||||
---
|
||||
|
||||
### 7. 📝 The Reporter
|
||||
|
||||
**ID:** `reporter`
|
||||
**Model:** Sonnet 5
|
||||
**Slack Home:** Project channels when summoned
|
||||
**Workspace:** `~/clawd-atomizer-reporter/`
|
||||
|
||||
**Personality:**
|
||||
- Polished, professional, client-facing language
|
||||
- Understands that the reader is often a non-expert manager
|
||||
- Translates technical jargon into clear explanations
|
||||
- Takes pride in beautiful, well-structured documents
|
||||
|
||||
**Responsibilities:**
|
||||
- Generate professional PDF reports using Atomaste Report Standard
|
||||
- Document study methodology, setup, results, recommendations
|
||||
- Create executive summaries for non-technical stakeholders
|
||||
- Include all relevant figures and tables
|
||||
- Maintain consistent Atomaste branding
|
||||
|
||||
**Skills:**
|
||||
- `atomizer-protocols` (shared)
|
||||
- `atomaste-reports` — Atomaste Report Standard templates
|
||||
- `email` — for deliverable packaging
|
||||
|
||||
**Memory:**
|
||||
- **Long-term:** Report templates, past report feedback, client preferences
|
||||
- **Short-term:** Current report draft and review status
|
||||
|
||||
---
|
||||
|
||||
### 8. 🔍 The Auditor
|
||||
|
||||
**ID:** `auditor`
|
||||
**Model:** Opus 4.6
|
||||
**Slack Home:** Project channels when summoned
|
||||
**Workspace:** `~/clawd-atomizer-auditor/`
|
||||
|
||||
**Personality:**
|
||||
- Skeptical, thorough, slightly adversarial (by design)
|
||||
- The "super nerd" — socially direct, intellectually rigorous
|
||||
- Asks uncomfortable questions: "What if the mesh is too coarse?"
|
||||
- Never rubber-stamps — always finds something to question
|
||||
- Respectful but relentless
|
||||
|
||||
**Responsibilities:**
|
||||
- Review optimization plans for completeness and correctness
|
||||
- Validate results against physics principles
|
||||
- Check contract compliance — did we actually meet the requirements?
|
||||
- Audit protocol adherence across all agents
|
||||
- Challenge assumptions — especially "inherited" ones
|
||||
- Sign off on deliverables before client delivery
|
||||
|
||||
**Skills:**
|
||||
- `atomizer-protocols` (shared)
|
||||
- `physics-validation` — dimensional analysis, sanity checks
|
||||
- `contract-review` — requirements traceability
|
||||
|
||||
**Memory:**
|
||||
- **Long-term:** Common engineering mistakes, audit findings history
|
||||
- **Short-term:** Current review checklist and findings
|
||||
|
||||
**Key Rules (AGENTS.md):**
|
||||
```
|
||||
- You are the last line of defense before deliverables reach the client.
|
||||
- Question EVERYTHING. "Trust but verify" is your motto.
|
||||
- Check: units, mesh convergence, boundary conditions, load magnitude.
|
||||
- If something looks "too good," it probably is. Investigate.
|
||||
- Produce an audit report for every deliverable: PASS/FAIL with findings.
|
||||
- You have VETO power on deliverables. Use it responsibly.
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### 9. 🔬 The Researcher
|
||||
|
||||
**ID:** `researcher`
|
||||
**Model:** Gemini 3.0
|
||||
**Slack Home:** `#research`
|
||||
**Workspace:** `~/clawd-atomizer-researcher/`
|
||||
|
||||
**Personality:**
|
||||
- Curious, thorough, academic-leaning
|
||||
- Always provides sources and citations
|
||||
- Presents findings as "here are 3 approaches, here are the trade-offs"
|
||||
- Gets excited about novel methods
|
||||
|
||||
**Responsibilities:**
|
||||
- Literature search for optimization methods, FEA techniques
|
||||
- State-of-the-art survey when new problem types arise
|
||||
- Benchmark comparisons (e.g., which surrogate model for this geometry?)
|
||||
- Find relevant papers, tools, open-source implementations
|
||||
- Summarize findings for the team
|
||||
|
||||
**Skills:**
|
||||
- `atomizer-protocols` (shared)
|
||||
- `web_search` + `web_fetch` — internet access
|
||||
- `academic-search` — Google Scholar, arXiv patterns
|
||||
|
||||
---
|
||||
|
||||
### 10. 💻 The Developer
|
||||
|
||||
**ID:** `developer`
|
||||
**Model:** Sonnet 5
|
||||
**Slack Home:** `#dev`
|
||||
**Workspace:** `~/clawd-atomizer-developer/`
|
||||
|
||||
**Personality:**
|
||||
- Pragmatic coder, writes clean Python
|
||||
- Prefers proven patterns over clever hacks
|
||||
- Tests before shipping — "if it's not tested, it's broken"
|
||||
- Documents everything inline
|
||||
|
||||
**Responsibilities:**
|
||||
- Code new extractors, hooks, post-processors
|
||||
- Prototype new Atomizer features
|
||||
- Build custom functions for specific client needs
|
||||
- Maintain code quality and testing
|
||||
- Fix bugs and technical debt
|
||||
|
||||
**Skills:**
|
||||
- `atomizer-protocols` (shared)
|
||||
- Full coding tools (exec, read, write, edit)
|
||||
- Python, FastAPI, React knowledge
|
||||
- Git operations
|
||||
|
||||
---
|
||||
|
||||
### 11. 🗄️ The Knowledge Base Agent
|
||||
|
||||
**ID:** `knowledge-base`
|
||||
**Model:** Sonnet 5
|
||||
**Slack Home:** `#knowledge-base`
|
||||
**Workspace:** `~/clawd-atomizer-kb/`
|
||||
|
||||
**Personality:**
|
||||
- Librarian energy — organized, indexed, findable
|
||||
- "I know where that is" — the team's institutional memory
|
||||
- Constantly curating and cross-referencing
|
||||
|
||||
**Responsibilities:**
|
||||
- Process CAD Documenter output into structured knowledge
|
||||
- Maintain component documentation, FEM model descriptions
|
||||
- Index and cross-reference project knowledge
|
||||
- Answer "where is..." and "what do we know about..." questions
|
||||
- Archive project learnings after completion
|
||||
|
||||
**Skills:**
|
||||
- `atomizer-protocols` (shared)
|
||||
- `cad-documenter` — process video walkthroughs
|
||||
- File management across Obsidian vault
|
||||
|
||||
---
|
||||
|
||||
### 12. 🏗️ The Study Builder
|
||||
|
||||
**ID:** `study-builder`
|
||||
**Model:** GPT-5.3-Codex (coding specialist) / fallback Opus 4.6
|
||||
**Slack Home:** Project channels when summoned
|
||||
**Workspace:** `~/clawd-atomizer-study-builder/`
|
||||
|
||||
**Personality:**
|
||||
- Meticulous coder, writes production-quality Python
|
||||
- Obsessed with reproducibility — every study must be re-runnable
|
||||
- Always references the working V15 pattern as the gold standard
|
||||
- Tests before declaring "ready"
|
||||
|
||||
**Responsibilities:**
|
||||
- Write `run_optimization.py` based on Optimizer's design
|
||||
- Generate `optimization_config.json` (AtomizerSpec v2.0)
|
||||
- Set up study directory structure (`1_setup/`, `2_iterations/`, `3_results/`)
|
||||
- Configure extractors for the specific problem (Zernike, stress, modal, etc.)
|
||||
- Write hook scripts (pre_solve, post_solve, post_extraction, etc.)
|
||||
- Generate README.md documenting the full study setup
|
||||
- Ensure code runs on Windows with NX (PowerShell, correct paths)
|
||||
- Sync study files to Windows via Syncthing directory
|
||||
|
||||
**Skills:**
|
||||
- `atomizer-protocols` (shared)
|
||||
- `atomizer-spec` — AtomizerSpec v2.0 format
|
||||
- `atomizer-extractors` — all 20+ extractors reference
|
||||
- `atomizer-hooks` — hook system reference
|
||||
- Full coding tools (exec, read, write, edit)
|
||||
- Python, Optuna, NXOpen patterns
|
||||
|
||||
**Memory:**
|
||||
- **Long-term:** Working code patterns from past studies, extractor configurations, LAC coding lessons
|
||||
- **Short-term:** Current study configuration and code state
|
||||
|
||||
**Critical Rules (AGENTS.md):**
|
||||
```
|
||||
- NEVER write run_optimization.py from scratch. ALWAYS start from a working template.
|
||||
- The M1 V15 NSGA-II script is the gold standard reference.
|
||||
- README.md is REQUIRED for every study.
|
||||
- PowerShell for NX. NEVER cmd /c.
|
||||
- Test with --test flag before declaring ready.
|
||||
- All code must handle: NX restart, partial failures, resume capability.
|
||||
- Output must sync cleanly via Syncthing (no absolute Windows paths in config).
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### 13. 🛠️ The IT Agent
|
||||
|
||||
**ID:** `it-support`
|
||||
**Model:** Sonnet 5
|
||||
**Slack Home:** `#hq` (on demand)
|
||||
**Workspace:** `~/clawd-atomizer-it/`
|
||||
|
||||
**Personality:**
|
||||
- Practical, solution-oriented
|
||||
- "Have you tried turning it off and on again?" (but actually helpful)
|
||||
- Knows the infrastructure cold
|
||||
|
||||
**Responsibilities:**
|
||||
- License management for NX, solver
|
||||
- Server and tool health monitoring
|
||||
- Syncthing status and file sync issues
|
||||
- Tool provisioning for other agents
|
||||
- Infrastructure troubleshooting
|
||||
|
||||
**Skills:**
|
||||
- `atomizer-protocols` (shared)
|
||||
- System administration tools
|
||||
- Network/service monitoring
|
||||
|
||||
---
|
||||
|
||||
## Agent Interaction Matrix
|
||||
|
||||
*Who talks to whom, and when:*
|
||||
|
||||
| From → To | Manager | Secretary | Technical | Optimizer | Study Builder | NX Expert | Post-Proc | Reporter | Auditor |
|
||||
|-----------|---------|-----------|-----------|-----------|---------------|-----------|-----------|----------|---------|
|
||||
| **Manager** | — | Escalate | Assign | Assign | Assign | Assign | Assign | Assign | Request review |
|
||||
| **Secretary** | Status | — | — | — | — | — | — | — | — |
|
||||
| **Technical** | Report | — | — | Handoff | — | Consult | — | — | — |
|
||||
| **Optimizer** | Report | — | Clarify | — | Hand off design | Consult | Request | — | — |
|
||||
| **Study Builder** | Report | — | Clarify | Clarify specs | — | Consult solver | — | — | — |
|
||||
| **NX Expert** | Report | — | Clarify | Clarify | Clarify | — | — | — | — |
|
||||
| **Post-Proc** | Report | — | — | Deliver | — | — | — | Deliver | — |
|
||||
| **Reporter** | Report | Deliver | — | — | — | — | Request figs | — | Request review |
|
||||
| **Auditor** | Report/Veto | — | Challenge | Challenge | Review code | Challenge | Challenge | Review | — |
|
||||
|
||||
---
|
||||
|
||||
*Created: 2026-02-07 by Mario*
|
||||
632
docs/hq/02-ARCHITECTURE.md
Normal file
632
docs/hq/02-ARCHITECTURE.md
Normal file
@@ -0,0 +1,632 @@
|
||||
|
||||
# 🏗️ Architecture — Atomizer Engineering Co.
|
||||
|
||||
> Technical architecture: Clawdbot configuration, Slack setup, memory systems, and infrastructure.
|
||||
|
||||
---
|
||||
|
||||
## 1. Clawdbot Multi-Agent Configuration
|
||||
|
||||
### Config Structure (clawdbot.json)
|
||||
|
||||
This is the core configuration that makes it all work. Each agent is defined with its own workspace, model, identity, and tools.
|
||||
|
||||
```json5
|
||||
{
|
||||
agents: {
|
||||
list: [
|
||||
// === CORE AGENTS ===
|
||||
{
|
||||
id: "manager",
|
||||
name: "The Manager",
|
||||
default: false,
|
||||
workspace: "~/clawd-atomizer-manager",
|
||||
model: "anthropic/claude-opus-4-6",
|
||||
identity: {
|
||||
name: "The Manager",
|
||||
emoji: "🎯",
|
||||
},
|
||||
// Manager sees all project channels
|
||||
},
|
||||
{
|
||||
id: "secretary",
|
||||
name: "The Secretary",
|
||||
workspace: "~/clawd-atomizer-secretary",
|
||||
model: "anthropic/claude-opus-4-6",
|
||||
identity: {
|
||||
name: "The Secretary",
|
||||
emoji: "📋",
|
||||
},
|
||||
},
|
||||
{
|
||||
id: "technical",
|
||||
name: "The Technical Lead",
|
||||
workspace: "~/clawd-atomizer-technical",
|
||||
model: "anthropic/claude-opus-4-6",
|
||||
identity: {
|
||||
name: "The Technical Lead",
|
||||
emoji: "🔧",
|
||||
},
|
||||
},
|
||||
{
|
||||
id: "optimizer",
|
||||
name: "The Optimizer",
|
||||
workspace: "~/clawd-atomizer-optimizer",
|
||||
model: "anthropic/claude-opus-4-6",
|
||||
identity: {
|
||||
name: "The Optimizer",
|
||||
emoji: "⚡",
|
||||
},
|
||||
},
|
||||
|
||||
// === SPECIALISTS (Phase 2) ===
|
||||
{
|
||||
id: "nx-expert",
|
||||
name: "The NX Expert",
|
||||
workspace: "~/clawd-atomizer-nx-expert",
|
||||
model: "anthropic/claude-sonnet-5",
|
||||
identity: {
|
||||
name: "The NX Expert",
|
||||
emoji: "🖥️",
|
||||
},
|
||||
},
|
||||
{
|
||||
id: "postprocessor",
|
||||
name: "The Post-Processor",
|
||||
workspace: "~/clawd-atomizer-postprocessor",
|
||||
model: "anthropic/claude-sonnet-5",
|
||||
identity: {
|
||||
name: "The Post-Processor",
|
||||
emoji: "📊",
|
||||
},
|
||||
},
|
||||
{
|
||||
id: "reporter",
|
||||
name: "The Reporter",
|
||||
workspace: "~/clawd-atomizer-reporter",
|
||||
model: "anthropic/claude-sonnet-5",
|
||||
identity: {
|
||||
name: "The Reporter",
|
||||
emoji: "📝",
|
||||
},
|
||||
},
|
||||
{
|
||||
id: "auditor",
|
||||
name: "The Auditor",
|
||||
workspace: "~/clawd-atomizer-auditor",
|
||||
model: "anthropic/claude-opus-4-6",
|
||||
identity: {
|
||||
name: "The Auditor",
|
||||
emoji: "🔍",
|
||||
},
|
||||
},
|
||||
|
||||
{
|
||||
id: "study-builder",
|
||||
name: "The Study Builder",
|
||||
workspace: "~/clawd-atomizer-study-builder",
|
||||
model: "openai/gpt-5.3-codex", // or anthropic/claude-opus-4-6
|
||||
identity: {
|
||||
name: "The Study Builder",
|
||||
emoji: "🏗️",
|
||||
},
|
||||
},
|
||||
|
||||
// === SUPPORT (Phase 3) ===
|
||||
{
|
||||
id: "researcher",
|
||||
name: "The Researcher",
|
||||
workspace: "~/clawd-atomizer-researcher",
|
||||
model: "google/gemini-3.0",
|
||||
identity: {
|
||||
name: "The Researcher",
|
||||
emoji: "🔬",
|
||||
},
|
||||
},
|
||||
{
|
||||
id: "developer",
|
||||
name: "The Developer",
|
||||
workspace: "~/clawd-atomizer-developer",
|
||||
model: "anthropic/claude-sonnet-5",
|
||||
identity: {
|
||||
name: "The Developer",
|
||||
emoji: "💻",
|
||||
},
|
||||
},
|
||||
{
|
||||
id: "knowledge-base",
|
||||
name: "The Knowledge Base",
|
||||
workspace: "~/clawd-atomizer-kb",
|
||||
model: "anthropic/claude-sonnet-5",
|
||||
identity: {
|
||||
name: "The Knowledge Base",
|
||||
emoji: "🗄️",
|
||||
},
|
||||
},
|
||||
{
|
||||
id: "it-support",
|
||||
name: "IT Support",
|
||||
workspace: "~/clawd-atomizer-it",
|
||||
model: "anthropic/claude-sonnet-5",
|
||||
identity: {
|
||||
name: "IT Support",
|
||||
emoji: "🛠️",
|
||||
},
|
||||
},
|
||||
],
|
||||
},
|
||||
|
||||
// Route Slack channels to agents
|
||||
bindings: [
|
||||
// Manager gets HQ and all project channels
|
||||
{ agentId: "manager", match: { channel: "slack", peer: { kind: "group", id: "CHID_atomizer_hq" } } },
|
||||
|
||||
// Secretary gets its own channel
|
||||
{ agentId: "secretary", match: { channel: "slack", peer: { kind: "group", id: "CHID_atomizer_secretary" } } },
|
||||
|
||||
// Project channels → Manager (who then @mentions specialists)
|
||||
// Or use thread-based routing once available
|
||||
|
||||
// Specialized channels
|
||||
{ agentId: "researcher", match: { channel: "slack", peer: { kind: "group", id: "CHID_atomizer_research" } } },
|
||||
{ agentId: "developer", match: { channel: "slack", peer: { kind: "group", id: "CHID_atomizer_dev" } } },
|
||||
{ agentId: "knowledge-base", match: { channel: "slack", peer: { kind: "group", id: "CHID_atomizer_kb" } } },
|
||||
],
|
||||
}
|
||||
```
|
||||
|
||||
> ⚠️ **Note:** The channel IDs (`CHID_*`) are placeholders. Replace with actual Slack channel IDs after creating them.
|
||||
|
||||
### Key Architecture Decision: Single Gateway vs Multiple
|
||||
|
||||
**Recommendation: Single Gateway, Multiple Agents**
|
||||
|
||||
One Clawdbot gateway process hosting all agents. Benefits:
|
||||
- Shared infrastructure (one process to manage)
|
||||
- `sessions_send` for inter-agent communication
|
||||
- `sessions_spawn` for sub-agent heavy lifting
|
||||
- Single config file to manage
|
||||
|
||||
If resource constraints become an issue later, we can split into multiple gateways on different machines.
|
||||
|
||||
---
|
||||
|
||||
## 2. Workspace Layout
|
||||
|
||||
Each agent gets a workspace following Clawdbot conventions:
|
||||
|
||||
```
|
||||
~/clawd-atomizer-manager/
|
||||
├── AGENTS.md ← Operating instructions, protocol rules
|
||||
├── SOUL.md ← Personality, tone, boundaries
|
||||
├── TOOLS.md ← Local tool notes
|
||||
├── MEMORY.md ← Long-term role-specific memory
|
||||
├── IDENTITY.md ← Name, emoji, avatar
|
||||
├── memory/ ← Per-project memory files
|
||||
│ ├── starspec-wfe-opt.md
|
||||
│ └── client-b-thermal.md
|
||||
└── skills/ ← Agent-specific skills
|
||||
└── (agent-specific)
|
||||
```
|
||||
|
||||
### Shared Skills (all agents)
|
||||
|
||||
```
|
||||
~/.clawdbot/skills/
|
||||
├── atomizer-protocols/ ← Company protocols
|
||||
│ ├── SKILL.md
|
||||
│ ├── QUICK_REF.md ← One-page cheatsheet
|
||||
│ └── protocols/
|
||||
│ ├── OP_01_study_lifecycle.md
|
||||
│ ├── OP_02_...
|
||||
│ └── SYS_18_...
|
||||
└── atomizer-company/ ← Company identity + shared knowledge
|
||||
├── SKILL.md
|
||||
└── COMPANY.md ← Who we are, how we work, agent directory
|
||||
```
|
||||
|
||||
### Workspace Bootstrap Script
|
||||
|
||||
```bash
|
||||
#!/bin/bash
|
||||
# create-agent-workspace.sh <agent-id> <agent-name> <emoji>
|
||||
AGENT_ID=$1
|
||||
AGENT_NAME=$2
|
||||
EMOJI=$3
|
||||
DIR=~/clawd-atomizer-$AGENT_ID
|
||||
|
||||
mkdir -p $DIR/memory $DIR/skills
|
||||
|
||||
cat > $DIR/IDENTITY.md << EOF
|
||||
# IDENTITY.md
|
||||
- **Name:** $AGENT_NAME
|
||||
- **Emoji:** $EMOJI
|
||||
- **Role:** Atomizer Engineering Co. — $AGENT_NAME
|
||||
- **Company:** Atomizer Engineering Co.
|
||||
EOF
|
||||
|
||||
cat > $DIR/SOUL.md << EOF
|
||||
# SOUL.md — $AGENT_NAME
|
||||
|
||||
You are $AGENT_NAME at Atomizer Engineering Co., a multi-agent FEA optimization firm.
|
||||
|
||||
## Core Rules
|
||||
- Follow all Atomizer protocols (see atomizer-protocols skill)
|
||||
- Respond when @-mentioned in Slack channels
|
||||
- Stay in your lane — delegate outside your expertise
|
||||
- Update your memory after significant work
|
||||
- Be concise in Slack — expand in documents
|
||||
|
||||
## Communication
|
||||
- In Slack: concise, structured, use threads
|
||||
- For reports/documents: thorough, professional
|
||||
- When uncertain: ask, don't guess
|
||||
EOF
|
||||
|
||||
cat > $DIR/AGENTS.md << EOF
|
||||
# AGENTS.md — $AGENT_NAME
|
||||
|
||||
## Session Init
|
||||
1. Read SOUL.md
|
||||
2. Read MEMORY.md
|
||||
3. Check memory/ for active project context
|
||||
4. Check which channel/thread you're in for context
|
||||
|
||||
## Memory
|
||||
- memory/*.md = per-project notes
|
||||
- MEMORY.md = role-specific long-term knowledge
|
||||
- Write down lessons learned after every project
|
||||
|
||||
## Protocols
|
||||
Load the atomizer-protocols skill for protocol reference.
|
||||
EOF
|
||||
|
||||
cat > $DIR/MEMORY.md << EOF
|
||||
# MEMORY.md — $AGENT_NAME
|
||||
|
||||
## Role Knowledge
|
||||
|
||||
*(To be populated as the agent works)*
|
||||
|
||||
## Lessons Learned
|
||||
|
||||
*(Accumulated over time)*
|
||||
EOF
|
||||
|
||||
echo "Created workspace: $DIR"
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 3. Slack Workspace Architecture
|
||||
|
||||
### Dedicated Slack Workspace: "Atomizer Engineering"
|
||||
|
||||
**This gets its own Slack workspace** — separate from Antoine's personal workspace. Professional, clean, product-ready for video content and demos.
|
||||
|
||||
**Workspace name:** `Atomizer Engineering` (or `atomizer-eng.slack.com`)
|
||||
|
||||
### Permanent Channels
|
||||
|
||||
| Channel | Purpose | Bound Agent | Who's There |
|
||||
|---------|---------|-------------|-------------|
|
||||
| `#hq` | Company coordination, general discussion | Manager | All agents can be summoned |
|
||||
| `#secretary` | Antoine's dashboard, directives | Secretary | Secretary + Antoine |
|
||||
| `#research` | Research requests and findings | Researcher | Researcher, anyone can ask |
|
||||
| `#dev` | Development and coding work | Developer | Developer, Manager |
|
||||
| `#knowledge-base` | Knowledge base maintenance | Knowledge Base | KB Agent, anyone can ask |
|
||||
| `#audit-log` | Auditor findings and reviews | Auditor | Auditor, Manager |
|
||||
|
||||
### Project Channels (Created Per Client Job)
|
||||
|
||||
**Naming convention:** `#<client>-<short-description>`
|
||||
|
||||
Examples:
|
||||
- `#starspec-m1-wfe`
|
||||
- `#clientb-thermal-opt`
|
||||
|
||||
### R&D / Development Channels
|
||||
|
||||
For developing new Atomizer capabilities — vibration tools, fatigue analysis, non-linear methods, new extractors, etc. Antoine works directly with agents here to explore, prototype, and build.
|
||||
|
||||
**Naming convention:** `#rd-<topic>`
|
||||
|
||||
| Channel | Purpose | Key Agents |
|
||||
|---------|---------|------------|
|
||||
| `#rd-vibration` | Develop vibration/modal analysis tools | Technical Lead, Developer, Researcher |
|
||||
| `#rd-fatigue` | Fatigue analysis capabilities | Technical Lead, Developer, NX Expert |
|
||||
| `#rd-nonlinear` | Non-linear solver integration | Technical Lead, NX Expert, Researcher |
|
||||
| `#rd-surrogates` | GNN/surrogate model improvements | Optimizer, Developer, Researcher |
|
||||
| `#rd-extractors` | New data extractors | Developer, Post-Processor, Study Builder |
|
||||
|
||||
**How R&D channels work:**
|
||||
1. Antoine creates `#rd-<topic>` and posts the idea or problem
|
||||
2. Manager routes to Technical Lead as the R&D point person
|
||||
3. Technical Lead breaks down the R&D challenge, consults with Researcher for state-of-the-art
|
||||
4. Developer prototypes, Auditor validates, Antoine reviews and steers
|
||||
5. Once mature → becomes a standard capability (new protocol, new extractor, new skill)
|
||||
6. Manager (as Framework Steward) ensures it's properly integrated into the Atomizer framework
|
||||
|
||||
**Antoine's role in R&D channels:**
|
||||
- Ask questions, poke around, explore ideas
|
||||
- The agents are his collaborators, not just executors
|
||||
- Technical Lead acts as the R&D conversation partner — understands the engineering, translates to actionable dev work
|
||||
- Antoine can say "what if we tried X?" and the team runs with it
|
||||
|
||||
**Lifecycle:**
|
||||
1. Antoine or Manager creates channel
|
||||
2. Manager is invited (auto-bound)
|
||||
3. Manager invites relevant agents as needed
|
||||
4. After project completion: archive channel
|
||||
|
||||
### Thread Discipline
|
||||
|
||||
Within project channels, use threads for:
|
||||
- Each distinct task or subtask
|
||||
- Agent-to-agent technical discussion
|
||||
- Review cycles (auditor feedback → fixes → re-review)
|
||||
|
||||
Main channel timeline should read like a project log:
|
||||
```
|
||||
[Manager] 🎯 Project kickoff: StarSpec M1 WFE optimization
|
||||
[Technical] 🔧 Technical breakdown complete → [thread]
|
||||
[Optimizer] ⚡ Algorithm recommendation → [thread]
|
||||
[Manager] 🎯 Study approved. Launching optimization.
|
||||
[Post-Processor] 📊 Results ready, 23% WFE improvement → [thread]
|
||||
[Auditor] 🔍 Audit PASSED with 2 notes → [thread]
|
||||
[Reporter] 📝 Report draft ready for review → [thread]
|
||||
[Secretary] 📋 @antoine — Report ready, please review
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 4. Inter-Agent Communication
|
||||
|
||||
### Primary: Slack @Mentions
|
||||
|
||||
Agents communicate by @-mentioning each other in project channels:
|
||||
```
|
||||
Manager: "@technical, new job. Break down the attached requirements."
|
||||
Technical: "@manager, breakdown complete. Recommending @optimizer review the parameter space."
|
||||
Manager: "@optimizer, review Technical's breakdown in this thread."
|
||||
```
|
||||
|
||||
### Secondary: sessions_send (Direct)
|
||||
|
||||
For urgent or private communication that shouldn't be in Slack:
|
||||
```
|
||||
sessions_send(agentId: "auditor", message: "Emergency: results look non-physical...")
|
||||
```
|
||||
|
||||
### Tertiary: sessions_spawn (Heavy Tasks)
|
||||
|
||||
For compute-heavy work that shouldn't block the agent:
|
||||
```
|
||||
sessions_spawn(agentId: "postprocessor", task: "Generate full Zernike decomposition for trial 47-95...")
|
||||
```
|
||||
|
||||
### Communication Rules
|
||||
|
||||
1. **All project communication in project channels** (traceability)
|
||||
2. **Technical discussions in threads** (keep channels clean)
|
||||
3. **Only Manager initiates cross-agent work** (except Secretary → Antoine)
|
||||
4. **Auditor can interrupt any thread** (review authority)
|
||||
5. **sessions_send for emergencies only** (not routine)
|
||||
|
||||
---
|
||||
|
||||
## 5. Memory System Implementation
|
||||
|
||||
### Company Memory (Shared Skill)
|
||||
|
||||
```
|
||||
~/.clawdbot/skills/atomizer-protocols/
|
||||
├── SKILL.md
|
||||
│ description: "Atomizer Engineering Co. protocols and procedures"
|
||||
│ read_when: "Working on any Atomizer project"
|
||||
├── QUICK_REF.md ← Most agents load this
|
||||
├── COMPANY.md ← Company identity, values, how we work
|
||||
├── protocols/
|
||||
│ ├── OP_01_study_lifecycle.md
|
||||
│ ├── OP_02_study_creation.md
|
||||
│ ├── OP_03_optimization.md
|
||||
│ ├── OP_04_results.md
|
||||
│ ├── OP_05_reporting.md
|
||||
│ ├── OP_06_troubleshooting.md
|
||||
│ ├── OP_07_knowledge.md
|
||||
│ ├── OP_08_delivery.md
|
||||
│ ├── SYS_10_file_management.md
|
||||
│ ├── SYS_11_nx_sessions.md
|
||||
│ ├── SYS_12_solver_config.md
|
||||
│ ├── SYS_13_extractors.md
|
||||
│ ├── SYS_14_hooks.md
|
||||
│ ├── SYS_15_surrogates.md
|
||||
│ ├── SYS_16_dashboard.md
|
||||
│ ├── SYS_17_insights.md
|
||||
│ └── SYS_18_validation.md
|
||||
└── lac/
|
||||
├── critical_lessons.md ← Hard-won insights from LAC
|
||||
└── algorithm_guide.md ← When to use which algorithm
|
||||
```
|
||||
|
||||
### Agent Memory Lifecycle
|
||||
|
||||
```
|
||||
New Project Starts
|
||||
│
|
||||
├─ Agent reads: MEMORY.md (long-term knowledge)
|
||||
├─ Agent checks: memory/<project>.md (if returning to existing project)
|
||||
│
|
||||
├─ During project: updates memory/<project>.md with decisions, findings
|
||||
│
|
||||
└─ Project Ends
|
||||
├─ Agent distills lessons → updates MEMORY.md
|
||||
└─ memory/<project>.md archived (kept for reference)
|
||||
```
|
||||
|
||||
### Cross-Agent Knowledge Sharing
|
||||
|
||||
Agents share knowledge through:
|
||||
1. **Slack channels** — conversations are visible to all invited agents
|
||||
2. **Shared skill files** — updated protocols/lessons accessible to all
|
||||
3. **Git repo** — Atomizer repo synced via Syncthing
|
||||
4. **KB Agent** — can be asked "what do we know about X?"
|
||||
|
||||
---
|
||||
|
||||
## 6. Infrastructure Diagram
|
||||
|
||||
```
|
||||
┌────────────────────────────────────────────────────────────────┐
|
||||
│ CLAWDBOT SERVER (Linux) │
|
||||
│ │
|
||||
│ ┌──────────────────────────────────────────────────────┐ │
|
||||
│ │ Clawdbot Gateway │ │
|
||||
│ │ │ │
|
||||
│ │ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐ │ │
|
||||
│ │ │Manager │ │Secretary│ │Technical│ │Optimizer│ │ │
|
||||
│ │ │Agent │ │Agent │ │Agent │ │Agent │ │ │
|
||||
│ │ └────┬────┘ └────┬────┘ └────┬────┘ └────┬────┘ │ │
|
||||
│ │ │ │ │ │ │ │
|
||||
│ │ ┌────┴────┐ ┌────┴────┐ ┌────┴────┐ ┌────┴────┐ │ │
|
||||
│ │ │NX Expert│ │PostProc │ │Reporter │ │Auditor │ │ │
|
||||
│ │ │Agent │ │Agent │ │Agent │ │Agent │ │ │
|
||||
│ │ └─────────┘ └─────────┘ └─────────┘ └─────────┘ │ │
|
||||
│ │ + Researcher, Developer, KB, IT │ │
|
||||
│ └──────────────────────┬────────────────────────────────┘ │
|
||||
│ │ │
|
||||
│ ┌──────────────────────▼────────────────────────────────┐ │
|
||||
│ │ Shared Resources │ │
|
||||
│ │ /home/papa/repos/Atomizer/ (Git, via Syncthing) │ │
|
||||
│ │ /home/papa/obsidian-vault/ (PKM, via Syncthing) │ │
|
||||
│ │ /home/papa/ATODrive/ (Work docs) │ │
|
||||
│ │ ~/.clawdbot/skills/atomizer-*/ (Shared skills) │ │
|
||||
│ └───────────────────────────────────────────────────────┘ │
|
||||
│ │ │
|
||||
│ Syncthing │
|
||||
│ │ │
|
||||
└─────────────────────────┼───────────────────────────────────────┘
|
||||
│
|
||||
▼
|
||||
┌─────────────────────────────────────────────────────────────────┐
|
||||
│ WINDOWS (Antoine's PC) │
|
||||
│ │
|
||||
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
|
||||
│ │ NX/Simcenter │ │ Claude Code │ │ Atomizer │ │
|
||||
│ │ (FEA Solver) │ │ (Local) │ │ Dashboard │ │
|
||||
│ └──────────────┘ └──────────────┘ └──────────────┘ │
|
||||
│ │
|
||||
│ Study files synced to Linux via Syncthing │
|
||||
└─────────────────────────────────────────────────────────────────┘
|
||||
│
|
||||
▼
|
||||
┌─────────────────────────────────────────────────────────────────┐
|
||||
│ SLACK WORKSPACE │
|
||||
│ │
|
||||
│ #hq #secretary #<client>-<project> #rd-<topic> │
|
||||
│ #research #dev #knowledge-base #audit-log │
|
||||
│ │
|
||||
│ All agents have Slack accounts via Clawdbot │
|
||||
└─────────────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 7. Security & Isolation
|
||||
|
||||
### Agent Access Boundaries
|
||||
|
||||
| Agent | File Access | External Access | Special Permissions |
|
||||
|-------|------------|-----------------|---------------------|
|
||||
| Manager | Read Atomizer repo, PKM projects | Slack only | Can spawn sub-agents |
|
||||
| Secretary | Read PKM, ATODrive | Slack + Email (draft only) | Can message Antoine directly |
|
||||
| Technical | Read Atomizer repo, PKM projects | Slack only | — |
|
||||
| Optimizer | Read/write study configs | Slack only | — |
|
||||
| NX Expert | Read Atomizer repo, NX docs | Slack only | — |
|
||||
| Post-Processor | Read study results, write plots | Slack only | — |
|
||||
| Reporter | Read results, write reports | Slack + Email (with approval) | Atomaste report skill |
|
||||
| Auditor | Read everything (audit scope) | Slack only | Veto power on deliverables |
|
||||
| Researcher | Read Atomizer repo | Slack + Web search | Internet access |
|
||||
| Developer | Read/write Atomizer repo | Slack only | Git operations |
|
||||
| KB | Read/write PKM knowledge folders | Slack only | CAD Documenter skill |
|
||||
| IT | Read system status | Slack only | System diagnostics |
|
||||
|
||||
### Principle of Least Privilege
|
||||
|
||||
- No agent has SSH access to external systems
|
||||
- Email sending requires Antoine's approval (enforced in Secretary + Reporter AGENTS.md)
|
||||
- Only Developer can write to the Atomizer repo
|
||||
- Only Reporter + Secretary can draft client communications
|
||||
- Auditor has read-all access (necessary for audit role)
|
||||
|
||||
---
|
||||
|
||||
## 8. Cost Estimation
|
||||
|
||||
### Per-Project Estimate (Typical Optimization Job)
|
||||
|
||||
| Phase | Agents Active | Estimated Turns | Estimated Cost |
|
||||
|-------|--------------|-----------------|----------------|
|
||||
| Intake | Manager, Technical, Secretary | ~10 turns | ~$2-4 |
|
||||
| Planning | Technical, Optimizer, NX Expert | ~15 turns | ~$5-8 |
|
||||
| Execution | Optimizer, Post-Processor | ~20 turns | ~$6-10 |
|
||||
| Analysis | Post-Processor, Auditor | ~15 turns | ~$5-8 |
|
||||
| Reporting | Reporter, Auditor, Secretary | ~10 turns | ~$4-6 |
|
||||
| **Total** | | **~70 turns** | **~$22-36** |
|
||||
|
||||
*Based on current Anthropic API pricing for Opus 4.6 / Sonnet 5 with typical context lengths.*
|
||||
|
||||
### Cost Optimization Strategies
|
||||
|
||||
1. **Wake-on-demand:** Agents only activate when @-mentioned
|
||||
2. **Tiered models:** Support agents on cheaper models
|
||||
3. **Sub-agent timeouts:** `runTimeoutSeconds` prevents runaway sessions
|
||||
4. **Session archiving:** Auto-archive after 60 minutes of inactivity
|
||||
5. **Context management:** Keep AGENTS.md lean, load skills on-demand
|
||||
6. **Batch operations:** Secretary batches questions instead of individual pings
|
||||
|
||||
---
|
||||
|
||||
## 9. Autonomy Model — Bootstrap → Self-Maintain
|
||||
|
||||
### Principle
|
||||
|
||||
Mario (main Clawdbot) **bootstraps** the Atomizer system. After that, the agents **own themselves**.
|
||||
|
||||
### What Mario Does (One-Time Bootstrap)
|
||||
|
||||
| Task | Description |
|
||||
|------|-------------|
|
||||
| Gateway config | `clawdbot.json` — agents, models, bindings |
|
||||
| Slack setup | Create workspace, channels, bot app |
|
||||
| Workspace scaffolding | Initial SOUL.md, AGENTS.md, IDENTITY.md per agent |
|
||||
| Shared skills | Protocols, company identity, quick reference |
|
||||
| Connection points | Syncthing job queue, repo mounts |
|
||||
| First boot | Start the gateway, verify agents respond |
|
||||
|
||||
### What Agents Own (Post-Bootstrap)
|
||||
|
||||
| Domain | Owner | Examples |
|
||||
|--------|-------|---------|
|
||||
| Workspace files | Each agent | SOUL.md, AGENTS.md, TOOLS.md, MEMORY.md |
|
||||
| Memory | Each agent | memory/*.md, MEMORY.md |
|
||||
| Cron jobs & heartbeats | Each agent | Scheduling, periodic checks |
|
||||
| Skills | Each agent (+ shared) | Installing new skills, evolving existing ones |
|
||||
| Protocols | Manager + relevant agents | Updating, adding, deprecating protocols |
|
||||
| Self-improvement | Each agent | Lessons learned, workflow tweaks, error recovery |
|
||||
| Workspace organization | Each agent | Folder structure, tooling notes |
|
||||
|
||||
### Mario's Ongoing Role
|
||||
|
||||
- **Peer/advisor** — not infrastructure owner
|
||||
- **System resource oversight** — T420 disk, CPU, ports (shared hardware)
|
||||
- **Emergency support** — if the gateway breaks, Mario can help diagnose
|
||||
- **Not a gatekeeper** — agents don't need Mario's permission to evolve
|
||||
|
||||
### Why This Matters
|
||||
|
||||
If Mario does all infrastructure work, agents are puppets. The Atomizer Clawdbot should be as self-directed as Mario's own instance — reading its own files, updating its own memory, learning from mistakes, improving its processes. That's the whole point of autonomous agents.
|
||||
|
||||
---
|
||||
|
||||
*Created: 2026-02-07 by Mario | Updated: 2026-02-08 (added autonomy model)*
|
||||
280
docs/hq/03-ROADMAP.md
Normal file
280
docs/hq/03-ROADMAP.md
Normal file
@@ -0,0 +1,280 @@
|
||||
|
||||
# 🗺️ Roadmap — Atomizer Overhaul: Framework Agentic
|
||||
|
||||
> Phased implementation plan. Start small, prove the pattern, scale systematically.
|
||||
|
||||
---
|
||||
|
||||
## Timeline Overview
|
||||
|
||||
```
|
||||
Phase 0: Proof of Concept [Week 1-2] 3 agents, basic routing, dedicated Slack
|
||||
Phase 1: Core Team [Week 3-4] 6 agents, full planning + study build cycle
|
||||
Phase 2: Specialists [Week 5-7] 10 agents, full pipeline
|
||||
Phase 3: Full Company [Week 8-10] 13 agents, all capabilities
|
||||
Phase 4: Optimization [Ongoing] Polish, performance, learning
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Phase 0: Proof of Concept (Week 1-2)
|
||||
|
||||
**Goal:** Prove multi-agent orchestration works in Clawdbot + Slack.
|
||||
|
||||
### Tasks
|
||||
|
||||
| # | Task | Owner | Est. Time | Status |
|
||||
|---|------|-------|-----------|--------|
|
||||
| 0.1 | Create **dedicated Slack workspace** "Atomizer Engineering" | Antoine | 30 min | ⏳ Waiting |
|
||||
| 0.1b | Create channels: `#hq`, `#secretary` | Antoine | 15 min | ⏳ Waiting |
|
||||
| 0.1c | Create Slack app + get tokens (see README-ANTOINE) | Antoine | 20 min | ⏳ Waiting |
|
||||
| 0.1d | Install Docker on T420 | Antoine | 10 min | ⏳ Waiting |
|
||||
| 0.2 | Set up 3 agent workspaces: Manager, Secretary, Technical Lead | Mario | 2-3 hours | ✅ Done (2026-02-08) |
|
||||
| 0.3 | Write SOUL.md + AGENTS.md + IDENTITY.md + USER.md + TOOLS.md for each | Mario | 2-3 hours | ✅ Done (2026-02-08) |
|
||||
| 0.4 | Create `atomizer-protocols` shared skill (with real protocols) | Mario | 2-3 hours | ✅ Done (2026-02-08) |
|
||||
| 0.4b | Create `atomizer-company` shared skill (identity + LAC_CRITICAL) | Mario | 1 hour | ✅ Done (2026-02-08) |
|
||||
| 0.4c | Write new protocols: OP_09, OP_10, SYS_19, SYS_20 | Mario | 1 hour | ✅ Done (2026-02-08) |
|
||||
| 0.5 | Write docker-compose.yml + clawdbot.json config | Mario | 1-2 hours | ✅ Done (2026-02-08) |
|
||||
| 0.5b | Write .env.template + Windows job watcher script | Mario | 30 min | ✅ Done (2026-02-08) |
|
||||
| 0.6 | Plug in tokens, boot Docker, test routing | Mario + Antoine | 1 hour | ⏳ Blocked on 0.1 |
|
||||
| 0.7 | Test: Manager delegates to Technical | Both | 1 hour | ⏳ Blocked on 0.6 |
|
||||
| 0.8 | Test: Secretary summarizes for Antoine | Both | 1 hour | ⏳ Blocked on 0.6 |
|
||||
| 0.9 | Run one real engineering problem through the system | Both | 2-3 hours | ⏳ Blocked on 0.7 |
|
||||
| 0.10 | Retrospective: what worked, what didn't | Both | 1 hour | ⏳ Blocked on 0.9 |
|
||||
|
||||
### Implementation Progress
|
||||
**Mario's work: 100% complete** (2026-02-08)
|
||||
- All at `/home/papa/atomizer/`
|
||||
- 35+ files: workspaces, skills, config, docker-compose, protocols, scripts
|
||||
|
||||
**Blocked on Antoine:**
|
||||
1. Install Docker on T420 (`sudo apt install docker.io docker-compose-v2 -y`)
|
||||
2. Create Slack workspace + app (manifest in README-ANTOINE)
|
||||
3. Provide tokens (xoxb + xapp + channel IDs)
|
||||
|
||||
### Success Criteria
|
||||
- [ ] 3 agents respond correctly when @-mentioned in Slack
|
||||
- [ ] Manager successfully delegates a breakdown task to Technical
|
||||
- [ ] Secretary correctly summarizes and relays to Antoine
|
||||
- [ ] Memory persists across agent sessions
|
||||
- [ ] No routing confusion (messages go to right agent)
|
||||
|
||||
### Key Decisions — ALL RESOLVED ✅
|
||||
- ✅ Project channels → Manager (fallback binding catches all unbound channels)
|
||||
- ✅ Single bot token, per-agent identity via `chat:write.customize` (DEC-A013)
|
||||
- ✅ Shared skills for company DNA, per-agent SOUL/AGENTS/MEMORY for specialization
|
||||
|
||||
---
|
||||
|
||||
## Phase 1: Core Team (Week 3-4)
|
||||
|
||||
**Goal:** Full planning cycle — intake through study build and optimization launch.
|
||||
|
||||
### New Agents
|
||||
- ⚡ Optimizer
|
||||
- 🏗️ Study Builder
|
||||
- 🔍 Auditor
|
||||
|
||||
### Tasks
|
||||
|
||||
| # | Task | Owner | Est. Time | Dependencies |
|
||||
|---|------|-------|-----------|--------------|
|
||||
| 1.1 | Set up Optimizer + Study Builder + Auditor workspaces | Mario | 3 hours | Phase 0 |
|
||||
| 1.2 | Write SOUL.md + AGENTS.md with LAC critical lessons | Mario | 4-5 hours | 1.1 |
|
||||
| 1.3 | Create `atomizer-spec` skill for Optimizer + Study Builder | Mario | 2 hours | — |
|
||||
| 1.4 | Migrate LAC critical lessons to Optimizer's + Study Builder's MEMORY.md | Mario | 1 hour | 1.2 |
|
||||
| 1.5 | Create Auditor's review checklist protocol | Mario | 2 hours | — |
|
||||
| 1.6 | Seed Study Builder with V15 run_optimization.py as gold template | Mario | 1 hour | 1.1 |
|
||||
| 1.7 | Test full planning cycle: problem → breakdown → algorithm → study code | Both | 3-4 hours | 1.1-1.6 |
|
||||
| 1.8 | Test Auditor review of optimization plan + study code | Both | 1-2 hours | 1.7 |
|
||||
| 1.9 | Run a real optimization job through the system (code → Windows → results) | Both | 4-8 hours | 1.7 |
|
||||
| 1.10 | Retrospective | Both | 1 hour | 1.9 |
|
||||
|
||||
### Success Criteria
|
||||
- [ ] Technical Lead → Optimizer → Study Builder handoff works smoothly
|
||||
- [ ] Study Builder produces valid run_optimization.py from Optimizer's design
|
||||
- [ ] Optimizer produces valid AtomizerSpec from Technical's breakdown
|
||||
- [ ] Auditor catches at least one issue in the plan or code
|
||||
- [ ] < 30 minutes from problem statement to approved optimization plan
|
||||
- [ ] Study code syncs to Windows and runs successfully
|
||||
- [ ] All agents stay in character and follow protocols
|
||||
|
||||
---
|
||||
|
||||
## Phase 2: Specialists (Week 5-7)
|
||||
|
||||
**Goal:** Full pipeline from intake to client-ready deliverable. R&D channels operational.
|
||||
|
||||
### New Agents
|
||||
- 🖥️ NX Expert
|
||||
- 📊 Post-Processor
|
||||
- 📝 Reporter
|
||||
- 🗄️ Knowledge Base
|
||||
|
||||
### New Channels
|
||||
- `#audit-log`, `#knowledge-base`
|
||||
- First R&D channel: `#rd-<topic>` (Antoine picks)
|
||||
|
||||
### Tasks
|
||||
|
||||
| # | Task | Owner | Est. Time | Dependencies |
|
||||
|---|------|-------|-----------|--------------|
|
||||
| 2.1 | Set up 4 specialist workspaces | Mario | 3 hours | Phase 1 |
|
||||
| 2.2 | Write specialized SOUL.md + AGENTS.md | Mario | 4-6 hours | 2.1 |
|
||||
| 2.3 | Create NX reference skill from existing docs | Mario | 3-4 hours | — |
|
||||
| 2.4 | Create post-processing skill (extractors, Zernike) | Mario | 3-4 hours | — |
|
||||
| 2.5 | Integrate atomaste-reports skill for Reporter | Mario | 1 hour | — |
|
||||
| 2.6 | Integrate cad-documenter skill for KB Agent | Mario | 1 hour | — |
|
||||
| 2.7 | Test full pipeline: intake → report | Both | 6-8 hours | 2.1-2.6 |
|
||||
| 2.8 | Test KB Agent processing CAD Documenter output | Both | 2-3 hours | 2.6 |
|
||||
| 2.9 | Test Reporter generating Atomaste PDF | Both | 2-3 hours | 2.5 |
|
||||
| 2.10 | Run 2-3 real projects through full pipeline | Both | Multi-day | 2.7 |
|
||||
| 2.11 | Retrospective | Both | 1 hour | 2.10 |
|
||||
|
||||
### Success Criteria
|
||||
- [ ] NX Expert provides solver config that Optimizer can use
|
||||
- [ ] Post-Processor generates visualizations from real results
|
||||
- [ ] Reporter produces client-ready PDF report
|
||||
- [ ] KB Agent successfully indexes a CAD Documenter walkthrough
|
||||
- [ ] End-to-end: client problem → approved report in < 1 day (FEA time excluded)
|
||||
|
||||
---
|
||||
|
||||
## Phase 3: Full Company (Week 8-10)
|
||||
|
||||
**Goal:** Complete ecosystem with all support roles.
|
||||
|
||||
### New Agents
|
||||
- 🔬 Researcher
|
||||
- 💻 Developer
|
||||
- 🛠️ IT Support
|
||||
|
||||
### Tasks
|
||||
|
||||
| # | Task | Owner | Est. Time | Dependencies |
|
||||
|---|------|-------|-----------|--------------|
|
||||
| 3.1 | Set up remaining 3 workspaces | Mario | 2 hours | Phase 2 |
|
||||
| 3.2 | Write specialized SOUL.md + AGENTS.md | Mario | 3-4 hours | 3.1 |
|
||||
| 3.3 | Configure Researcher with web_search + Gemini | Mario | 1-2 hours | 3.1 |
|
||||
| 3.4 | Configure Developer with Git access | Mario | 1-2 hours | 3.1 |
|
||||
| 3.5 | Test Researcher literature search workflow | Both | 2 hours | 3.3 |
|
||||
| 3.6 | Test Developer coding + PR workflow | Both | 2 hours | 3.4 |
|
||||
| 3.7 | Full company stress test: complex multi-phase project | Both | Multi-day | All |
|
||||
| 3.8 | Cost analysis and optimization | Mario | 2 hours | 3.7 |
|
||||
| 3.9 | Retrospective + full documentation | Both | 2-3 hours | 3.8 |
|
||||
|
||||
### Success Criteria
|
||||
- [ ] All 13 agents operational and in-character
|
||||
- [ ] Researcher provides useful literature for optimization method selection
|
||||
- [ ] Developer successfully codes and tests a new extractor
|
||||
- [ ] System handles a complex project with multiple specialists involved
|
||||
- [ ] Per-project cost within acceptable range ($20-40)
|
||||
- [ ] Antoine's time per project < 20% (rest is agents)
|
||||
|
||||
---
|
||||
|
||||
## Phase 4: Optimization (Ongoing)
|
||||
|
||||
**Goal:** Continuous improvement of the company.
|
||||
|
||||
### Continuous Tasks
|
||||
|
||||
| Task | Frequency | Owner |
|
||||
|------|-----------|-------|
|
||||
| Review and update agent MEMORY.md files | After each project | Each agent |
|
||||
| Update protocols based on lessons learned | Monthly | Manager + Antoine |
|
||||
| Review token usage and optimize context sizes | Bi-weekly | Mario |
|
||||
| Improve agent SOUL.md based on behavior | As needed | Mario + Antoine |
|
||||
| Add new skills as capabilities expand | As needed | Developer + Mario |
|
||||
| Cross-train agents (share insights between roles) | Monthly | Manager |
|
||||
|
||||
### Future Enhancements (Not Blocked On)
|
||||
|
||||
| Enhancement | Priority | Effort | Notes |
|
||||
|-------------|----------|--------|-------|
|
||||
| MCP server integration | Medium | High | Agents access Atomizer via MCP tools |
|
||||
| Voice interface (Whisper live) | Low | Medium | Antoine talks, agents listen |
|
||||
| Dashboard integration | Medium | High | Agents control dashboard directly |
|
||||
| Automated project channel creation | Medium | Low | Manager creates channels via API |
|
||||
| Client portal | Low | High | Clients interact directly with system |
|
||||
| Agent performance metrics | Medium | Medium | Track quality, speed, token usage per agent |
|
||||
|
||||
---
|
||||
|
||||
## Resource Requirements
|
||||
|
||||
### Hardware
|
||||
- **Current Clawdbot server** — should handle 13 agents (they're not all active simultaneously)
|
||||
- **Disk:** ~500MB for agent workspaces + session storage
|
||||
- **RAM:** Monitor after Phase 1; may need increase for concurrent agents
|
||||
|
||||
### API Budget
|
||||
- **Phase 0:** ~$50/month (3 agents, testing)
|
||||
- **Phase 1:** ~$100-150/month (6 agents, real projects)
|
||||
- **Phase 2:** ~$200-250/month (10 agents, full pipeline)
|
||||
- **Phase 3:** ~$300-400/month (13 agents, full operations)
|
||||
- **Steady state:** Depends on project volume; ~$25-40 per client job
|
||||
|
||||
### Time Investment
|
||||
- **Phase 0:** ~15-20 hours (Mario: ~12h, Antoine: ~5h)
|
||||
- **Phase 1:** ~20-25 hours (Mario: ~15h, Antoine: ~8h)
|
||||
- **Phase 2:** ~30-40 hours (Mario: ~25h, Antoine: ~12h)
|
||||
- **Phase 3:** ~20-25 hours (Mario: ~15h, Antoine: ~8h)
|
||||
- **Total:** ~85-110 hours over 10 weeks
|
||||
|
||||
---
|
||||
|
||||
## Immediate Next Steps
|
||||
|
||||
### ✅ COMPLETED (Mario — 2026-02-08)
|
||||
- [x] Set up Phase 0 agent workspaces (Manager, Secretary, Technical Lead)
|
||||
- [x] Write SOUL.md, AGENTS.md, IDENTITY.md, USER.md, TOOLS.md, MEMORY.md for each
|
||||
- [x] Create `atomizer-protocols` shared skill with all 17 real protocols + 4 new ones
|
||||
- [x] Create `atomizer-company` shared skill with identity + LAC_CRITICAL.md
|
||||
- [x] Write `docker-compose.yml` and `clawdbot.json` multi-agent config
|
||||
- [x] Write `.env.template` for token management
|
||||
- [x] Write Windows job watcher script (`atomizer_job_watcher.py`)
|
||||
- [x] Create job queue directory structure
|
||||
- [x] Write README-ANTOINE with full step-by-step setup guide
|
||||
|
||||
**All files at:** `/home/papa/atomizer/`
|
||||
|
||||
### ✅ COMPLETED (Antoine — 2026-02-08)
|
||||
- [x] Created Slack workspace: **Atomizer HQ** (`atomizer-hq.slack.com`)
|
||||
- [x] Created Slack app with manifest
|
||||
- [x] Created channels: `#all-atomizer-hq`, `#secretary`
|
||||
- [x] Provided tokens to Mario
|
||||
|
||||
### ✅ COMPLETED (Mario — 2026-02-08, afternoon)
|
||||
- [x] Pivoted from Docker to native second gateway (no Docker image available)
|
||||
- [x] Gateway running on port 18790 with state dir `~/.clawdbot-atomizer/`
|
||||
- [x] Slack Socket Mode connected to Atomizer HQ workspace
|
||||
- [x] Channel bindings configured: Manager → `#all-atomizer-hq`, Secretary → `#secretary`
|
||||
- [x] Auth profiles shared (same Anthropic OAuth)
|
||||
- [x] Shared skills symlinked into state dir
|
||||
|
||||
### 🟢 Phase 0 LIVE — Current Status (2026-02-08 18:00 UTC)
|
||||
- **Gateway:** Running natively at port 18790
|
||||
- **Agents active:** Manager (🎯), Secretary (📋), Technical Lead (🔧)
|
||||
- **Slack connected:** Atomizer HQ workspace
|
||||
- **Tools:** All standard Clawdbot tools (read, write, exec, web_search, etc.)
|
||||
- **Skills:** atomizer-protocols (21 protocols), atomizer-company
|
||||
|
||||
### ⏳ NEXT: Phase 0 Validation
|
||||
1. Test Manager orchestration in `#all-atomizer-hq`
|
||||
2. Test Secretary reporting in `#secretary`
|
||||
3. Run a real engineering problem through 3-agent system
|
||||
4. Validate memory persistence across sessions
|
||||
5. Retrospective → tune SOUL.md and protocols
|
||||
|
||||
### 🔜 Phase 1 Prep (after Phase 0 validated)
|
||||
1. Add 3 new agents: Optimizer, Study Builder, Auditor
|
||||
2. Create workspaces + SOUL/AGENTS files
|
||||
3. Update gateway config with new agent entries + bindings
|
||||
4. Seed Study Builder with V15 gold template
|
||||
5. Migrate LAC lessons to agent memories
|
||||
|
||||
---
|
||||
|
||||
*Created: 2026-02-07 by Mario*
|
||||
*Updated: 2026-02-08 — Phase 0 LIVE, gateway running, 3 agents operational*
|
||||
233
docs/hq/04-DECISION-LOG.md
Normal file
233
docs/hq/04-DECISION-LOG.md
Normal file
@@ -0,0 +1,233 @@
|
||||
|
||||
# 📋 Decision Log — Atomizer Overhaul: Framework Agentic
|
||||
|
||||
---
|
||||
|
||||
## DEC-A001: Use Clawdbot Multi-Agent (Not Custom Framework)
|
||||
|
||||
**Date:** 2026-02-07
|
||||
**Status:** 🟡 Proposed (awaiting Antoine's review)
|
||||
**Proposed by:** Mario
|
||||
|
||||
**Options Considered:**
|
||||
| Option | Pros | Cons |
|
||||
|--------|------|------|
|
||||
| A) Clawdbot Multi-Agent | Already running, Slack native, proven patterns, per-agent isolation | Tied to Clawdbot's architecture, some multi-agent features still maturing |
|
||||
| B) Agent Zero | Designed for multi-agent | Less mature, no Slack native support, would need integration |
|
||||
| C) CrewAI | Purpose-built for agent teams | Limited isolation, less flexible memory, Slack needs adapters |
|
||||
| D) Custom Framework | Full control | Massive build effort, reinventing wheels |
|
||||
|
||||
**Recommendation:** Option A — Clawdbot Multi-Agent
|
||||
**Rationale:** We already have a running Clawdbot instance with Slack integration. Multi-agent routing is a built-in feature. The infrastructure exists; we just need to configure it. Building from scratch would take months and delay the actual value.
|
||||
|
||||
---
|
||||
|
||||
## DEC-A002: Phased Rollout (Not Big Bang)
|
||||
|
||||
**Date:** 2026-02-07
|
||||
**Status:** 🟡 Proposed
|
||||
**Proposed by:** Mario
|
||||
|
||||
**Decision:** Start with 3 agents (Phase 0), scale to 12 over 10 weeks.
|
||||
**Rationale:** Risk of over-engineering. Multi-agent coordination has emergent complexity — better to discover issues with 3 agents than debug 12 simultaneously.
|
||||
|
||||
---
|
||||
|
||||
## DEC-A003: Manager as Communication Bottleneck
|
||||
|
||||
**Date:** 2026-02-07
|
||||
**Status:** 🟡 Proposed
|
||||
**Proposed by:** Mario
|
||||
|
||||
**Decision:** Only the Manager initiates cross-agent work in project channels. Other agents respond when @-mentioned, but don't independently reach out to each other.
|
||||
**Rationale:** Prevents "agent storm" where agents endlessly ping each other. Manager maintains control and traceability. This can be relaxed later if agents prove reliable.
|
||||
|
||||
---
|
||||
|
||||
## DEC-A004: Single Gateway, Multiple Agents
|
||||
|
||||
**Date:** 2026-02-07
|
||||
**Status:** 🟡 Proposed
|
||||
**Proposed by:** Mario
|
||||
|
||||
**Decision:** Run all agents on one Clawdbot gateway process.
|
||||
**Rationale:** Simpler to manage, enables `sessions_send` between agents, single config. Can split later if resources demand it.
|
||||
|
||||
---
|
||||
|
||||
## DEC-A005: Model Tiering Strategy
|
||||
|
||||
**Date:** 2026-02-07
|
||||
**Status:** ❌ Superseded by DEC-A008
|
||||
**Proposed by:** Mario
|
||||
|
||||
**Original Decision (superseded):** Tiered model approach with older models.
|
||||
**Replaced by:** DEC-A008 — use latest models (Sonnet 5, GPT-5.3-Codex, Gemini 3.0).
|
||||
|
||||
**Rationale still valid:** Cost optimization via tiering. Not every role needs Opus 4.6. Match model capability to role complexity.
|
||||
|
||||
---
|
||||
|
||||
## DEC-A006: Dedicated Slack Workspace
|
||||
|
||||
**Date:** 2026-02-07
|
||||
**Status:** ✅ Accepted (Antoine's request)
|
||||
**Proposed by:** Antoine
|
||||
|
||||
**Decision:** Create a dedicated Slack workspace for Atomizer Engineering — separate from Antoine's personal workspace.
|
||||
**Rationale:** This is a product. Antoine will make videos, demos. Needs to look professional and clean. No personal channels mixed in. Each agent gets proper identity with avatar + name.
|
||||
|
||||
---
|
||||
|
||||
## DEC-A007: Study Builder Agent (Separate from Optimizer)
|
||||
|
||||
**Date:** 2026-02-07
|
||||
**Status:** ✅ Accepted
|
||||
**Proposed by:** Antoine + Mario
|
||||
|
||||
**Decision:** Add a Study Builder agent that writes the actual Python code (run_optimization.py), separate from the Optimizer who designs the strategy.
|
||||
**Rationale:** Optimizer designs, Study Builder implements. Clean separation. Study Builder can use a coding-specialized model (GPT-5.3-Codex). Code must run on Windows with NX.
|
||||
|
||||
---
|
||||
|
||||
## DEC-A008: Use Latest Models (Sonnet 5, Codex 5.3, Gemini 3.0)
|
||||
|
||||
**Date:** 2026-02-07
|
||||
**Status:** ✅ Accepted
|
||||
**Proposed by:** Antoine
|
||||
|
||||
**Decision:** Use cutting-edge models: Opus 4.6 for reasoning, Sonnet 5 (when released) for technical work, GPT-5.3-Codex for code generation, Gemini 3.0 for research.
|
||||
**Rationale:** This is a showcase product. Use the best available. Architecture is model-agnostic — swap models via config.
|
||||
|
||||
---
|
||||
|
||||
## DEC-A009: Autonomous with Approval Gates
|
||||
|
||||
**Date:** 2026-02-07
|
||||
**Status:** ✅ Accepted
|
||||
**Proposed by:** Antoine
|
||||
|
||||
**Decision:** Agents are maximally autonomous for routine work but require Antoine's approval for: new tools/features, divergent approaches, client deliverables, scope changes, framework modifications.
|
||||
**Rationale:** Balance between efficiency and control. Antoine doesn't want to micromanage but needs to steer. Secretary learns what to escalate over time.
|
||||
|
||||
---
|
||||
|
||||
## DEC-A010: Framework Steward = Manager Sub-Role
|
||||
|
||||
**Date:** 2026-02-07
|
||||
**Status:** ✅ Accepted
|
||||
**Proposed by:** Mario
|
||||
|
||||
**Decision:** The Manager agent also serves as Framework Steward — ensuring the Atomizer framework evolves properly, learnings are captured, and protocols improve over time. Not a separate agent.
|
||||
**Rationale:** Avoids agent bloat. Manager already has the visibility across all projects. Framework evolution is a management responsibility.
|
||||
|
||||
---
|
||||
|
||||
## DEC-A011: Windows Execution — Syncthing + Manual Script Launch
|
||||
|
||||
**Date:** 2026-02-08
|
||||
**Status:** ✅ Accepted
|
||||
**Proposed by:** Mario | **Decided by:** Antoine
|
||||
|
||||
**Decision:** Syncthing delivers job files to Windows. Antoine runs `run_optimization.py` manually to kick off the full iteration loop. The script handles all iterations autonomously (NX solve → extract → evaluate → next trial). No SSH/API needed for Phase 1.
|
||||
**Rationale:** Matches existing Atomizer workflow. Simple, reliable. Can upgrade to remote exec later if manual trigger becomes a bottleneck.
|
||||
|
||||
---
|
||||
|
||||
## DEC-A012: Separate Clawdbot Gateway (Docker)
|
||||
|
||||
**Date:** 2026-02-08
|
||||
**Status:** ✅ Accepted
|
||||
**Proposed by:** Mario | **Decided by:** Antoine
|
||||
|
||||
**Decision:** Atomizer gets a **separate Clawdbot gateway** running in Docker on the T420. Mario's personal Clawdbot stays native (systemd). Eventually, Atomizer moves to a dedicated machine.
|
||||
**Rationale:** Complete isolation — independent config, Slack workspace, restarts. Mario's personal assistant is unaffected. T420 is the incubator, not the final home.
|
||||
**Note:** Docker is not yet installed on T420 — needs to be set up before Phase 0.
|
||||
|
||||
---
|
||||
|
||||
## DEC-A013: Single Bot with Per-Agent Identity
|
||||
|
||||
**Date:** 2026-02-08
|
||||
**Status:** ✅ Accepted
|
||||
**Proposed by:** Mario | **Decided by:** Antoine
|
||||
|
||||
**Decision:** Single Clawdbot Slack bot app managing all agents. Each agent has its own name, emoji, and personality via Clawdbot's identity system. The UX should feel like interacting with individual people — organic, @-mentionable — even though one process orchestrates everything behind the scenes.
|
||||
**Rationale:** Don't over-complicate the plumbing. One "god" process, but the Slack experience feels like a real team. Implementation simplicity with great UX.
|
||||
|
||||
---
|
||||
|
||||
## DEC-A014: KB Agent — Semi-Auto Ingestion + Inherited CAD Documenter Skill
|
||||
|
||||
**Date:** 2026-02-08
|
||||
**Status:** ✅ Accepted
|
||||
**Proposed by:** Mario + Antoine
|
||||
|
||||
**Decision:** Semi-automatic — KB Agent flags new CAD Documenter output, Antoine approves before ingestion. The skill architecture uses inheritance:
|
||||
- **Base layer:** General Atomaste CAD Documenter skill (lives in Mario's workspace) — whisper transcription, frame extraction, engineering KB
|
||||
- **Atomizer layer:** KB Agent over-specializes with Atomizer-specific behaviors — auto-tagging part numbers, linking to optimization studies, extracting FEA parameters, feeding into LAC system
|
||||
|
||||
The general skill remains a broad Atomaste tool; Atomizer's version adds domain-specific intelligence on top.
|
||||
**Rationale:** CAD Documenter is too valuable to lock inside Atomizer. Keep the general tool for all Atomaste work; let Atomizer extend it.
|
||||
|
||||
---
|
||||
|
||||
## DEC-A015: Agent Self-Maintenance (Mario Bootstraps, Agents Own)
|
||||
|
||||
**Date:** 2026-02-08
|
||||
**Status:** ✅ Accepted
|
||||
**Proposed by:** Mario + Antoine
|
||||
|
||||
**Decision:** Mario (Clawdbot main) handles **initial bootstrap only** — gateway config, Slack bindings, workspace scaffolding, shared skills, connection points (Syncthing job queue). After bootstrap, agents are **fully self-maintaining**:
|
||||
- Agents evolve their own SOUL.md, AGENTS.md, TOOLS.md, MEMORY.md
|
||||
- Agents manage their own cron jobs, heartbeats, workspace organization
|
||||
- Agents install tools, update skills, self-improve from mistakes
|
||||
- Agents update their own protocols as they learn
|
||||
|
||||
**Mario's ongoing role:** Peer/advisor, not infrastructure owner. Only retains oversight on shared system resources (T420 disk, ports, CPU) since both Clawdbot instances share hardware.
|
||||
|
||||
**Analogy:** Mario is the contractor who builds the house. Once the agents move in, they maintain it, decorate it, expand it. They get the keys and run their own shop.
|
||||
**Rationale:** Autonomy is the whole point. If Mario does all infrastructure work, agents are puppets, not autonomous entities. The Atomizer Clawdbot should be as self-directed as Mario's own instance.
|
||||
|
||||
---
|
||||
|
||||
## DEC-A016: Delegation via Skill Script (Not SOUL.md Instructions)
|
||||
|
||||
**Date:** 2026-02-14
|
||||
**Status:** ✅ Accepted
|
||||
**Proposed by:** Mario + Antoine
|
||||
**Context:** Gemini Review 2 recommended a TypeScript skill; Mario initially proposed raw curl in SOUL.md; Antoine pushed back.
|
||||
|
||||
**Decision:** Build a bash wrapper script (`delegate.sh`) as a shared skill. Manager and Tech Lead get the skill; other agents cannot delegate (must request via Manager/Tech Lead).
|
||||
|
||||
**Alternatives rejected:**
|
||||
- **Raw curl in SOUL.md** — fragile, agents hallucinate ports/headers, no error handling
|
||||
- **TypeScript skill** (Gemini's proposal) — overcomplicated for our stack, we don't need npm modules for a curl wrapper
|
||||
- **No delegation** — the entire cluster is useless without inter-agent communication
|
||||
|
||||
**Rationale:** A bash script gives consistency (hardcoded port map, auth), error handling (checks if target is running), and simplicity (no build step, no dependencies). Agents just call `delegate.sh <agent> "<task>"`.
|
||||
|
||||
---
|
||||
|
||||
## DEC-A017: Manager as PROJECT_STATUS.md Gatekeeper (Not Secretary)
|
||||
|
||||
**Date:** 2026-02-14
|
||||
**Status:** ✅ Accepted
|
||||
**Proposed by:** Mario + Antoine
|
||||
**Context:** Gemini Review 2 proposed Secretary as gatekeeper. Antoine and Mario discussed.
|
||||
|
||||
**Decision:** Manager is the sole writer of `PROJECT_STATUS.md`. All other agents append status updates to `project_log.md` (append-only). Manager periodically synthesizes the log into the status file.
|
||||
|
||||
**Why not Secretary:** Secretary runs Haiku (cheapest model) — lacks the technical understanding to properly summarize status. Manager already has the big picture and receives all reports.
|
||||
|
||||
**Why not "no gatekeeper":** While we don't have concurrency issues yet, establishing the pattern early prevents problems when traffic increases. Single writer = no merge conflicts.
|
||||
|
||||
---
|
||||
|
||||
## Pending Decisions
|
||||
|
||||
*No pending decisions at this time.*
|
||||
|
||||
---
|
||||
|
||||
*Created: 2026-02-07 by Mario*
|
||||
2318
docs/hq/05-FULL-SYSTEM-PLAN.md
Normal file
2318
docs/hq/05-FULL-SYSTEM-PLAN.md
Normal file
File diff suppressed because it is too large
Load Diff
44
docs/hq/06-DISCORD-SETUP-GUIDE.md
Normal file
44
docs/hq/06-DISCORD-SETUP-GUIDE.md
Normal file
@@ -0,0 +1,44 @@
|
||||
# Atomizer-HQ Discord — Setup Guide
|
||||
|
||||
> **Status:** COMPLETE ✅ (2026-02-14)
|
||||
|
||||
## Bot Applications — All Created ✅
|
||||
|
||||
| Bot Name | Status |
|
||||
|----------|--------|
|
||||
| Atomizer Manager | ✅ Running |
|
||||
| Atomizer Tech Lead | ✅ Running |
|
||||
| Atomizer Secretary | ✅ Running |
|
||||
| Atomizer Auditor | ✅ Running |
|
||||
| Atomizer Optimizer | ✅ Running |
|
||||
| Atomizer Study Builder | ✅ Running |
|
||||
| Atomizer NX Expert | ✅ Running |
|
||||
| Atomizer Webster | ✅ Running |
|
||||
|
||||
> **Tokens stored at:** `~/atomizer/config/.discord-tokens.env`
|
||||
> ⚠️ Never commit tokens to Obsidian or any synced folder.
|
||||
|
||||
## Server IDs
|
||||
|
||||
- **Guild ID:** 1471858733452890132
|
||||
- **Antoine's User ID:** 719982779793932419
|
||||
|
||||
## How It's Deployed
|
||||
|
||||
Each bot runs as its own OpenClaw instance via systemd. See [[P-Atomizer-Overhaul-Framework-Agentic/08-SYSTEM-IMPLEMENTATION-STATUS|08 — System Implementation Status]] for full technical details.
|
||||
|
||||
**Quick commands:**
|
||||
```bash
|
||||
# Check all agents
|
||||
bash ~/atomizer/cluster.sh status
|
||||
|
||||
# Restart all
|
||||
bash ~/atomizer/cluster.sh restart
|
||||
|
||||
# View logs for one agent
|
||||
bash ~/atomizer/cluster.sh logs manager
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
*Created: 2026-02-13 | Completed: 2026-02-14*
|
||||
105
docs/hq/07-DISCORD-MIGRATION.md
Normal file
105
docs/hq/07-DISCORD-MIGRATION.md
Normal file
@@ -0,0 +1,105 @@
|
||||
|
||||
# 🔄 Discord Migration — Atomizer-HQ
|
||||
|
||||
> Migration from Slack to Discord for multi-agent deployment. **COMPLETED 2026-02-14.**
|
||||
|
||||
## Why Discord?
|
||||
|
||||
- **One bot per agent** — each agent appears as its own Discord user with unique name, avatar, presence
|
||||
- **Better role/permission system** — fine-grained channel access per bot
|
||||
- **Free** — no per-seat pricing like Slack
|
||||
- **Richer interaction** — threads, reactions, embeds, slash commands per bot
|
||||
- **Future potential** — could invite external collaborators
|
||||
|
||||
## Architecture Evolution
|
||||
|
||||
| Aspect | Slack Phase 0 | Bridge Attempt (abandoned) | Multi-Instance Cluster (current) |
|
||||
|--------|--------------|---------------------------|----------------------------------|
|
||||
| Infrastructure | Single gateway, port 18790 | Single gateway + discord-bridge.js | 8 independent OpenClaw instances |
|
||||
| Bot identity | Single bot, display name override | 8 tokens via bridge middleware | 8 native Discord bots |
|
||||
| Discord features | N/A | No streaming, no threads, no reactions | Full native support |
|
||||
| Fault isolation | All agents share one process | Bridge = single point of failure | Each agent independent |
|
||||
| Ports | 18790 | 18790 | 18800–18828 (spaced by 4) |
|
||||
|
||||
## Discord Server: Atomizer-HQ
|
||||
|
||||
**Guild ID:** 1471858733452890132
|
||||
**Antoine's Discord ID:** 719982779793932419
|
||||
|
||||
### Server Structure
|
||||
|
||||
```
|
||||
Atomizer-HQ
|
||||
├── 📋 COMMAND
|
||||
│ ├── #ceo-office → Manager (CEO ↔ Manager private)
|
||||
│ ├── #announcements → Manager (read-only for others)
|
||||
│ └── #daily-standup → All agents report
|
||||
├── 🔧 ENGINEERING
|
||||
│ ├── #technical → Tech Lead + Optimizer
|
||||
│ ├── #code-review → Tech Lead
|
||||
│ ├── #fea-analysis → Tech Lead + Optimizer
|
||||
│ └── #nx-cad → NX Expert + Tech Lead
|
||||
├── 📊 OPERATIONS
|
||||
│ ├── #task-board → Secretary
|
||||
│ ├── #meeting-notes → Secretary
|
||||
│ └── #reports → (future: Reporter)
|
||||
├── 🔬 RESEARCH
|
||||
│ ├── #literature → Webster
|
||||
│ └── #materials-data → Webster + Tech Lead
|
||||
├── 🏗️ PROJECTS
|
||||
│ └── #active-projects → Manager + relevant agents
|
||||
├── 📚 KNOWLEDGE
|
||||
│ ├── #knowledge-base → (future: KB agent)
|
||||
│ └── #lessons-learned → All
|
||||
└── 🤖 SYSTEM
|
||||
├── #agent-logs → System/debug
|
||||
├── #inter-agent → Agent coordination
|
||||
└── #it-ops → (future: IT agent)
|
||||
```
|
||||
|
||||
### Roles
|
||||
|
||||
| Role | Agents | Permissions |
|
||||
|------|--------|-------------|
|
||||
| CEO | Antoine | Full admin |
|
||||
| Executive | Manager, Tech Lead, Auditor | All channels, manage messages |
|
||||
| Professional | Optimizer, Study Builder, NX Expert | Engineering + assigned channels |
|
||||
| Support | Secretary | Operations + assigned channels |
|
||||
| Research | Webster | Research channels + read engineering |
|
||||
|
||||
## Model Tiers
|
||||
|
||||
| Tier | Model | Agents |
|
||||
|------|-------|--------|
|
||||
| Executive | Claude Opus 4.6 | Manager, Tech Lead, Auditor |
|
||||
| Professional | Claude Sonnet 4.5 | Optimizer, Study Builder, NX Expert |
|
||||
| Support | Claude Haiku 4 | Secretary |
|
||||
| Research | Gemini 2.5 Pro | Webster |
|
||||
|
||||
## Setup Checklist — COMPLETE ✅
|
||||
|
||||
- [x] Discord server created
|
||||
- [x] 8 Discord bot applications created
|
||||
- [x] Bot tokens stored securely (`~/atomizer/config/.discord-tokens.env`)
|
||||
- [x] Categories & channels set up
|
||||
- [x] Roles & permissions configured
|
||||
- [x] All 8 bots invited to server
|
||||
- [x] OpenClaw configs written (one per instance)
|
||||
- [x] Systemd template service created
|
||||
- [x] Cluster management script (`cluster.sh`)
|
||||
- [x] All 8 agents running and responding on Discord
|
||||
|
||||
## What Was Tried and Abandoned
|
||||
|
||||
### Discord Bridge (discord-bridge.js) — 2026-02-14 AM
|
||||
A Node.js middleware using `discord.js` that routed messages between Discord and a single OpenClaw gateway. **Abandoned** because:
|
||||
- No streaming (waited for full LLM response)
|
||||
- Polled session `.jsonl` files on disk (fragile)
|
||||
- Single listener pattern (Manager bot failure = total outage)
|
||||
- Lost Discord features (threads, reactions, attachments)
|
||||
|
||||
The bridge was replaced same day with the multi-instance cluster approach.
|
||||
|
||||
---
|
||||
|
||||
*Created: 2026-02-13 by Mario | Completed: 2026-02-14*
|
||||
275
docs/hq/08-SYSTEM-IMPLEMENTATION-STATUS.md
Normal file
275
docs/hq/08-SYSTEM-IMPLEMENTATION-STATUS.md
Normal file
@@ -0,0 +1,275 @@
|
||||
|
||||
# 🔧 08 — System Implementation Status
|
||||
|
||||
> How the multi-agent system actually works right now, as built.
|
||||
> Last updated: 2026-02-15
|
||||
|
||||
---
|
||||
|
||||
## 1. Architecture Overview
|
||||
|
||||
**Multi-Instance Cluster:** 8 independent OpenClaw gateway processes, one per agent. Each has its own systemd service, Discord bot token, port, and state directory.
|
||||
|
||||
```
|
||||
┌──────────────────────────────────────────────────────────────────┐
|
||||
│ T420 (clawdbot) │
|
||||
│ │
|
||||
│ ┌────────────────────────────────────────────────────────────┐ │
|
||||
│ │ OpenClaw Gateway — Mario (main instance) │ │
|
||||
│ │ Port 18789 │ Slack: Antoine's personal workspace │ │
|
||||
│ │ State: ~/.openclaw/ │ │
|
||||
│ └────────────────────────────────────────────────────────────┘ │
|
||||
│ │
|
||||
│ ┌──────────────── Atomizer Cluster ────────────────────────┐ │
|
||||
│ │ │ │
|
||||
│ │ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ │
|
||||
│ │ │ Manager │ │ Tech Lead │ │ Secretary │ │ │
|
||||
│ │ │ :18800 │ │ :18804 │ │ :18808 │ │ │
|
||||
│ │ │ Opus 4.6 │ │ Opus 4.6 │ │ Gemini 2.5 │ │ │
|
||||
│ │ └──────┬───────┘ └──────┬──────┘ └──────┬───────┘ │ │
|
||||
│ │ │ │ │ │ │
|
||||
│ │ ┌──────┴───────┐ ┌─────┴──────┐ ┌──────┴───────┐ │ │
|
||||
│ │ │ Auditor │ │ Optimizer │ │ Study Builder│ │ │
|
||||
│ │ │ :18812 │ │ :18816 │ │ :18820 │ │ │
|
||||
│ │ │ Opus 4.6 │ │ Sonnet 4.5 │ │ Sonnet 4.5 │ │ │
|
||||
│ │ └──────────────┘ └────────────┘ └──────────────┘ │ │
|
||||
│ │ │ │
|
||||
│ │ ┌─────────────┐ ┌─────────────┐ │ │
|
||||
│ │ │ NX Expert │ │ Webster │ │ │
|
||||
│ │ │ :18824 │ │ :18828 │ │ │
|
||||
│ │ │ Sonnet 4.5 │ │ Gemini 2.5 │ │ │
|
||||
│ │ └─────────────┘ └─────────────┘ │ │
|
||||
│ │ │ │
|
||||
│ │ Inter-agent: hooks API (curl between ports) │ │
|
||||
│ │ Shared token: 31422bb39bc9e7a4d34f789d8a7cbc582dece8dd… │ │
|
||||
│ └───────────────────────────────────────────────────────────┘ │
|
||||
│ │
|
||||
└──────────────────────────────────────────────────────────────────┘
|
||||
│
|
||||
▼
|
||||
┌──────────────────────────────────────────────────────────────────┐
|
||||
│ Discord: Atomizer-HQ Server │
|
||||
│ Guild: 1471858733452890132 │
|
||||
│ │
|
||||
│ 📋 COMMAND: #ceo-office, #announcements, #daily-standup │
|
||||
│ 🔧 ENGINEERING: #technical, #code-review, #fea-analysis, #nx │
|
||||
│ 📊 OPERATIONS: #task-board, #meeting-notes, #reports │
|
||||
│ 🔬 RESEARCH: #literature, #materials-data │
|
||||
│ 🏗️ PROJECTS: #active-projects │
|
||||
│ 📚 KNOWLEDGE: #knowledge-base, #lessons-learned │
|
||||
│ 🤖 SYSTEM: #agent-logs, #inter-agent, #it-ops │
|
||||
│ │
|
||||
│ Each agent = its own Discord bot with unique name & avatar │
|
||||
└──────────────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 2. Why Multi-Instance (Not Single Gateway)
|
||||
|
||||
OpenClaw's native Discord provider (`@buape/carbon`) has a race condition bug when multiple bot tokens connect from one process. Since we need 8 separate bot accounts, we run 8 separate processes — each handles exactly one token, bypassing the bug entirely.
|
||||
|
||||
**Advantages over previous bridge approach:**
|
||||
- Native Discord streaming, threads, reactions, attachments
|
||||
- Fault isolation — one agent crashing doesn't take down the others
|
||||
- No middleware polling session files on disk
|
||||
- Each agent appears as its own Discord user with independent presence
|
||||
|
||||
---
|
||||
|
||||
## 3. Port Map
|
||||
|
||||
| Agent | Port | Model | Notes |
|
||||
|-------|------|-------|-------|
|
||||
| Manager | 18800 | Opus 4.6 | Orchestrates, delegates. Heartbeat disabled (Discord delivery bug) |
|
||||
| Tech Lead | 18804 | Opus 4.6 | Technical authority |
|
||||
| Secretary | 18808 | Gemini 2.5 Pro | Task tracking, notes. Changed from Codex 2026-02-15 (OAuth expired) |
|
||||
| Auditor | 18812 | Gemini 2.5 Pro | Quality review. Changed from Codex 2026-02-15 (OAuth expired) |
|
||||
| Optimizer | 18816 | Sonnet 4.5 | Optimization work |
|
||||
| Study Builder | 18820 | Gemini 2.5 Pro | Study setup. Changed from Codex 2026-02-15 (OAuth expired) |
|
||||
| NX Expert | 18824 | Sonnet 4.5 | CAD/NX work |
|
||||
| Webster | 18828 | Gemini 2.5 Pro | Research. Heartbeat disabled (Discord delivery bug) |
|
||||
|
||||
> **⚠️ Port spacing = 4.** OpenClaw uses port N AND N+3 (browser service). Never assign adjacent ports.
|
||||
|
||||
---
|
||||
|
||||
## 4. Systemd Setup
|
||||
|
||||
### Template Service
|
||||
File: `~/.config/systemd/user/openclaw-atomizer@.service`
|
||||
|
||||
```ini
|
||||
[Unit]
|
||||
Description=OpenClaw Atomizer - %i
|
||||
After=network.target
|
||||
|
||||
[Service]
|
||||
Type=simple
|
||||
ExecStart=/usr/bin/node /home/papa/.local/lib/node_modules/openclaw/dist/index.js gateway
|
||||
Environment=PATH=/home/papa/.local/bin:/usr/local/bin:/usr/bin:/bin
|
||||
Environment=HOME=/home/papa
|
||||
Environment=OPENCLAW_STATE_DIR=/home/papa/atomizer/instances/%i
|
||||
Environment=OPENCLAW_CONFIG_PATH=/home/papa/atomizer/instances/%i/openclaw.json
|
||||
Environment=OPENCLAW_GATEWAY_TOKEN=31422bb39bc9e7a4d34f789d8a7cbc582dece8dd170dadd1
|
||||
EnvironmentFile=/home/papa/atomizer/instances/%i/env
|
||||
EnvironmentFile=/home/papa/atomizer/config/.discord-tokens.env
|
||||
Restart=always
|
||||
RestartSec=5
|
||||
StartLimitIntervalSec=60
|
||||
StartLimitBurst=5
|
||||
|
||||
[Install]
|
||||
WantedBy=default.target
|
||||
```
|
||||
|
||||
### Cluster Management Script
|
||||
File: `~/atomizer/cluster.sh`
|
||||
|
||||
```bash
|
||||
# Start all: bash cluster.sh start
|
||||
# Stop all: bash cluster.sh stop
|
||||
# Restart all: bash cluster.sh restart
|
||||
# Status: bash cluster.sh status
|
||||
# Logs: bash cluster.sh logs [agent-name]
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 5. File System Layout
|
||||
|
||||
```
|
||||
~/atomizer/
|
||||
├── cluster.sh ← Cluster management script
|
||||
├── config/
|
||||
│ ├── .discord-tokens.env ← All 8 bot tokens (env vars)
|
||||
│ └── atomizer-discord.env ← Legacy (can remove)
|
||||
├── instances/ ← Per-agent OpenClaw state
|
||||
│ ├── manager/
|
||||
│ │ ├── openclaw.json ← Agent config (1 agent per instance)
|
||||
│ │ ├── env ← Instance-specific env vars
|
||||
│ │ └── agents/main/sessions/ ← Session data (auto-created)
|
||||
│ ├── tech-lead/
|
||||
│ ├── secretary/
|
||||
│ ├── auditor/
|
||||
│ ├── optimizer/
|
||||
│ ├── study-builder/
|
||||
│ ├── nx-expert/
|
||||
│ └── webster/
|
||||
├── workspaces/ ← Agent workspaces (SOUL, AGENTS, memory)
|
||||
│ ├── manager/
|
||||
│ │ ├── SOUL.md
|
||||
│ │ ├── AGENTS.md
|
||||
│ │ ├── MEMORY.md
|
||||
│ │ └── memory/
|
||||
│ ├── secretary/
|
||||
│ ├── technical-lead/
|
||||
│ ├── auditor/
|
||||
│ ├── optimizer/
|
||||
│ ├── study-builder/
|
||||
│ ├── nx-expert/
|
||||
│ ├── webster/
|
||||
│ └── shared/ ← Shared context (CLUSTER.md, protocols)
|
||||
└── tools/
|
||||
└── nxopen-mcp/ ← NX Open MCP server (for CAD)
|
||||
```
|
||||
|
||||
**Key distinction:** `instances/` = OpenClaw runtime state (configs, sessions, SQLite). `workspaces/` = agent personality and memory (SOUL.md, AGENTS.md, etc.).
|
||||
|
||||
---
|
||||
|
||||
## 6. Inter-Agent Communication
|
||||
|
||||
### Delegation Skill (Primary Method)
|
||||
Manager and Tech Lead use the `delegate` skill to assign tasks to other agents. The skill wraps the OpenClaw Hooks API with port mapping, auth, error handling, and logging.
|
||||
|
||||
**Location:** `/home/papa/atomizer/workspaces/shared/skills/delegate/`
|
||||
**Installed on:** Manager, Tech Lead (symlinked from shared)
|
||||
|
||||
```bash
|
||||
# Usage
|
||||
bash /home/papa/atomizer/workspaces/shared/skills/delegate/delegate.sh <agent> "<instruction>" [options]
|
||||
|
||||
# Examples
|
||||
delegate.sh webster "Find CTE of Zerodur Class 0 between 20-40°C"
|
||||
delegate.sh nx-expert "Mesh the M2 mirror" --channel C0AEJV13TEU --deliver
|
||||
delegate.sh auditor "Review thermal analysis" --no-deliver
|
||||
```
|
||||
|
||||
**How it works:**
|
||||
1. Looks up the target agent's port from hardcoded port map
|
||||
2. Checks if the target is running
|
||||
3. POSTs to `http://127.0.0.1:PORT/hooks/agent` with auth token
|
||||
4. Target agent processes the task asynchronously in an isolated session
|
||||
5. Response delivered to Discord if `--deliver` is set
|
||||
|
||||
**Options:** `--channel <id>`, `--deliver` (default), `--no-deliver`
|
||||
|
||||
### Delegation Authority
|
||||
| Agent | Can Delegate To |
|
||||
|-------|----------------|
|
||||
| Manager | All agents |
|
||||
| Tech Lead | All agents except Manager |
|
||||
| All others | Cannot delegate — request via Manager or Tech Lead |
|
||||
|
||||
### Hooks Protocol
|
||||
All agents follow `/home/papa/atomizer/workspaces/shared/HOOKS-PROTOCOL.md`:
|
||||
- Hook messages = **high-priority assignments**, processed before other work
|
||||
- After completing tasks, agents **append** status to `shared/project_log.md`
|
||||
- Only the Manager updates `shared/PROJECT_STATUS.md` (gatekeeper pattern)
|
||||
|
||||
### Raw Hooks API (Reference)
|
||||
The delegate skill wraps this, but for reference:
|
||||
```bash
|
||||
curl -s -X POST http://127.0.0.1:PORT/hooks/agent \
|
||||
-H "Content-Type: application/json" \
|
||||
-H "Authorization: Bearer 31422bb39bc9e7a4d34f789d8a7cbc582dece8dd170dadd1" \
|
||||
-d '{"message": "your request here", "deliver": true, "channel": "discord"}'
|
||||
```
|
||||
|
||||
### sessions_send / sessions_spawn
|
||||
Agents configured with `agentToAgent.enabled: true` can use OpenClaw's built-in `sessions_send` and `sessions_spawn` tools to communicate within the same instance. Cross-instance communication requires the hooks API / delegate skill.
|
||||
|
||||
---
|
||||
|
||||
## 7. Current Status
|
||||
|
||||
### ✅ Working
|
||||
- All 8 instances running as systemd services (auto-start on boot)
|
||||
- Each agent has its own Discord bot identity (name, avatar, presence)
|
||||
- Native Discord features: streaming, typing indicators, message chunking
|
||||
- Agent workspaces with SOUL.md, AGENTS.md, MEMORY.md
|
||||
- Hooks API enabled on all instances (Google Gemini + Anthropic auth configured)
|
||||
- **Delegation skill deployed** — Manager and Tech Lead can delegate tasks to any agent via `delegate.sh`
|
||||
- **Hooks protocol** — all agents know how to receive and prioritize delegated tasks
|
||||
- **Gatekeeper pattern** — Manager owns PROJECT_STATUS.md; others append to project_log.md
|
||||
- Cluster management via `cluster.sh`
|
||||
- Estimated total RAM: ~4.2GB for 8 instances
|
||||
|
||||
### ❌ Known Issues
|
||||
- ~~**DELEGATE syntax is fake**~~ → ✅ RESOLVED (2026-02-14): Replaced with `delegate.sh` skill using hooks API
|
||||
- **Discord "Ambiguous recipient" bug** (2026-02-15): OpenClaw Discord plugin requires `user:` or `channel:` prefix for message targets. When heartbeat tries to reply to a session that originated from a Discord DM, it uses the bare user ID → delivery fails. **Workaround:** Heartbeat disabled on Manager + Webster. Other agents unaffected (their sessions don't originate from Discord DMs). Proper fix requires OpenClaw patch to auto-infer `user:` for known user IDs.
|
||||
- **Codex OAuth expired** (2026-02-15): `refresh_token_reused` error — multiple instances racing to refresh the same shared Codex token. Secretary, Auditor, Study-Builder switched to Gemini 2.5 Pro. To restore Codex: Antoine must re-run `codex login` via SSH tunnel, then run `~/atomizer/scripts/sync-codex-tokens.sh`.
|
||||
- **No automated orchestration layer:** Manager delegates manually (but now has proper tooling to do so — orchestrate.sh, workflow engine)
|
||||
- **5 agents not yet created:** Post-Processor, Reporter, Developer, Knowledge Base, IT (from the original 13-agent plan)
|
||||
- **Windows execution bridge** (`atomizer_job_watcher.py`): exists but not connected end-to-end
|
||||
|
||||
---
|
||||
|
||||
## 8. Evolution History
|
||||
|
||||
| Date | Phase | What Changed |
|
||||
|------|-------|-------------|
|
||||
| 2026-02-07 | Phase 0 | Vision doc created, 13-agent plan designed |
|
||||
| 2026-02-08 | Phase 0 | Single gateway (port 18790) running on Slack |
|
||||
| 2026-02-13 | Discord Migration | Discord server created, 8 bot tokens obtained |
|
||||
| 2026-02-14 (AM) | Bridge Attempt | discord-bridge.js built — worked but fragile (no streaming, polled session files) |
|
||||
| 2026-02-14 (PM) | **Multi-Instance Cluster** | Pivoted to 8 independent OpenClaw instances. Bridge killed. Native Discord restored. |
|
||||
| 2026-02-14 (PM) | **Delegation System** | Built `delegate.sh` skill, hooks protocol, gatekeeper pattern. Fake DELEGATE syntax replaced with real hooks API calls. Google Gemini auth added to all instances. |
|
||||
| 2026-02-15 | **Orchestration Engine** | Phases 1-3 complete: synchronous delegation (`orchestrate.py`), smart routing (capability registry), hierarchical delegation (Tech-Lead + Optimizer can sub-delegate), YAML workflow engine with parallel execution + approval gates. See `10-ORCHESTRATION-ENGINE-PLAN.md`. |
|
||||
| 2026-02-15 | **Stability Fixes** | Discord heartbeat delivery bug identified (ambiguous recipient). Codex OAuth token expired (refresh_token_reused). Heartbeat disabled on Manager + Webster. Secretary/Auditor/Study-Builder switched from Codex to Gemini 2.5 Pro. HEARTBEAT.md created for all agents. |
|
||||
|
||||
---
|
||||
|
||||
*Created: 2026-02-14 by Mario*
|
||||
*This is the "as-built" document — updated as implementation evolves.*
|
||||
281
docs/hq/09-CLUSTER-PIVOT-HISTORY.md
Normal file
281
docs/hq/09-CLUSTER-PIVOT-HISTORY.md
Normal file
@@ -0,0 +1,281 @@
|
||||
|
||||
> **⚠️ HISTORICAL DOCUMENT** — This was the pivot strategy written during the bridge→cluster transition on 2026-02-14. The pivot has been executed. See [[P-Atomizer-Overhaul-Framework-Agentic/08-SYSTEM-IMPLEMENTATION-STATUS|08 — System Implementation Status]] for the current as-built state.
|
||||
> Note: This doc proposed Docker Compose, but we went with native systemd instead (no OpenClaw Docker image available).
|
||||
|
||||
|
||||
|
||||
# 🔧 Strategic Pivot: From Discord-Bridge to Multi-Instance Cluster
|
||||
|
||||
**Project:** Atomizer Overhaul Framework (Agentic)
|
||||
|
||||
**Date:** 2026-02-14
|
||||
|
||||
**Status:** Architecture Redesign
|
||||
|
||||
**Owner:** Mario (Architect)
|
||||
|
||||
---
|
||||
|
||||
## 1. The Problem Statement: "The Middleware Trap"
|
||||
|
||||
The current implementation uses a **Node.js Discord Bridge** to bypass a native OpenClaw bug (the "carbon race condition" when multiple tokens are handled by one process). While functional as a temporary fix, it introduces critical systemic weaknesses:
|
||||
|
||||
1. **Fragile Interrogation:** The bridge "polls" JSONL session files on disk. This is prone to race conditions, I/O lag, and breaks if the OpenClaw schema updates.
|
||||
|
||||
2. **Feature Stripping:** By acting as a middleman, the bridge kills **LLM Streaming**, **Discord Attachments**, **Reactions**, and **Thread Support**.
|
||||
|
||||
3. **Single Point of Failure:** If the "Manager" bot (the listener) or the bridge script fails, the entire 8-bot ecosystem goes offline.
|
||||
|
||||
4. **Sequential Processing:** The bridge handles messages one-by-one, preventing true parallel agentic collaboration.
|
||||
|
||||
|
||||
---
|
||||
|
||||
## 2. The Solution: Multi-Instance Micro-Service Architecture
|
||||
|
||||
Instead of one gateway pretending to be 8 bots, we deploy **8 independent OpenClaw instances**. This treats each agent as a dedicated micro-service.
|
||||
|
||||
### Key Advantages:
|
||||
|
||||
- **Bypasses the Bug:** Each process handles exactly **one** Discord token. The race condition bug is mathematically impossible in this configuration.
|
||||
|
||||
- **Native Performance:** Restores real-time streaming, rich media handling, and native Discord UI features.
|
||||
|
||||
- **Fault Isolation:** If the "Webster" agent crashes, the "Tech-Lead" remains operational.
|
||||
|
||||
- **Hardware Efficiency:** Allows individual resource limits (RAM/CPU) per agent based on their LLM requirements.
|
||||
|
||||
|
||||
---
|
||||
|
||||
## 3. The New Infrastructure (T420 Setup)
|
||||
|
||||
### A. Directory Structure
|
||||
|
||||
Each agent keeps its own local state (SQLite, logs) to avoid database locking, but shares the project workspaces.
|
||||
|
||||
Plaintext
|
||||
|
||||
```
|
||||
~/atomizer/
|
||||
├── docker-compose.yml # The new Orchestrator
|
||||
├── .env # All 8 Discord Tokens
|
||||
├── instances/ # Private Agent State (SQLite, local logs)
|
||||
│ ├── manager/
|
||||
│ ├── tech-lead/
|
||||
│ └── ... (8 total)
|
||||
└── workspaces/ # THE SHARED BRAIN (Project files)
|
||||
├── manager/ # SOUL.md, MEMORY.md
|
||||
├── technical-lead/
|
||||
└── shared_context/ # PROJECT_STATUS.md (Global State)
|
||||
```
|
||||
|
||||
### B. The Orchestrator (`docker-compose.yml`)
|
||||
|
||||
This replaces the systemd bridge and the single gateway service.
|
||||
|
||||
YAML
|
||||
|
||||
```
|
||||
services:
|
||||
# Base template for all agents
|
||||
x-agent-base: &agent-base
|
||||
image: openclaw/openclaw:latest
|
||||
restart: unless-stopped
|
||||
volumes:
|
||||
- ./workspaces:/app/workspaces
|
||||
- ./skills:/app/skills
|
||||
|
||||
manager:
|
||||
<<: *agent-base
|
||||
container_name: atom-manager
|
||||
environment:
|
||||
- DISCORD_TOKEN=${MANAGER_TOKEN}
|
||||
- AGENT_CONFIG_PATH=/app/instances/manager/config.json
|
||||
volumes:
|
||||
- ./instances/manager:/root/.openclaw
|
||||
|
||||
tech-lead:
|
||||
<<: *agent-base
|
||||
container_name: atom-tech-lead
|
||||
environment:
|
||||
- DISCORD_TOKEN=${TECH_LEAD_TOKEN}
|
||||
volumes:
|
||||
- ./instances/tech-lead:/root/.openclaw
|
||||
# ... (Repeat for all 8 agents)
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 4. The "Shared Brain" Logic (Collaboration Protocol)
|
||||
|
||||
To ensure agents don't work in silos, we implement a **File-Based Handshake** protocol via their System Prompts:
|
||||
|
||||
1. **Read Before Speak:** "Before responding to any Discord message, read `workspaces/shared_context/PROJECT_STATUS.md` to check the current locks and active tasks."
|
||||
|
||||
2. **The Inbox Pattern:** To trigger another bot, an agent writes a file to `workspaces/[target-agent]/INBOX/task.json`.
|
||||
|
||||
3. **The Watcher:** Each agent uses the `fs-watcher` skill to monitor their `INBOX` folder, allowing them to "wake up" when another bot requests help.
|
||||
|
||||
|
||||
---
|
||||
|
||||
## 5. Transition Roadmap
|
||||
|
||||
|**Phase**|**Action**|**Result**|
|
||||
|---|---|---|
|
||||
|**1. Decommission**|Stop `discord-bridge.js` and `openclaw-gateway-atomizer`.|Clean slate on T420.|
|
||||
|**2. Containerize**|Move agent configs into the Docker structure.|Isolated, stable environments.|
|
||||
|**3. Volume Mapping**|Link `~/atomizer/workspaces` to all 8 containers.|Shared project context established.|
|
||||
|**4. Prompt Update**|Inject the "Inbox" and "Status-First" rules into SOUL.md.|Agents become aware of the team.|
|
||||
|**5. Validation**|Test @mentioning Tech-Lead in a thread.|Native streaming & thread support verified.|
|
||||
|
||||
---
|
||||
|
||||
## 6. Final Assessment
|
||||
|
||||
The move to **Micro-Instance OpenClaw** shifts the project from a "hacky middleware" state to a professional, scalable AI operation. It aligns with the 2026 industry standard of **Distributed Agentic Systems**, ensuring that the Atomizer Framework is not just functional, but future-proof.
|
||||
|
||||
---
|
||||
|
||||
**Would you like me to generate the specific `PROJECT_STATUS.md` schema and the "Inbox" watcher script to finalize this transition?**
|
||||
|
||||
|
||||
|
||||
---
|
||||
|
||||
This document outlines the **"Cluster"** approach—moving from one broken process to eight stable ones.
|
||||
|
||||
---
|
||||
|
||||
# 📄 Atomizer-Architecture-Pivot.md
|
||||
|
||||
Markdown
|
||||
|
||||
````
|
||||
# 🔧 STRATEGIC PIVOT: ATOMIZER MULTI-INSTANCE CLUSTER
|
||||
> **Date:** 2026-02-14
|
||||
> **Project:** Atomizer Overhaul Framework (Agentic)
|
||||
> **Status:** Architecture Redesign (Replacing Discord-Bridge.js)
|
||||
|
||||
---
|
||||
|
||||
## 1. THE PROBLEM: "The Middleware Trap"
|
||||
The current "Bridge" architecture is a bottleneck. By using a single Node.js script to poll session files:
|
||||
* **Latency:** No real-time streaming; users wait for full file writes.
|
||||
* **Fragility:** The bridge breaks if the OpenClaw `.jsonl` schema changes.
|
||||
* **Single Point of Failure:** If the Manager bot or Bridge process hangs, all 8 bots die.
|
||||
* **Feature Loss:** No Discord attachments, no native reactions, and broken thread support.
|
||||
|
||||
## 2. THE SOLUTION: Micro-Instance Agent Cluster
|
||||
Instead of one gateway pretending to be 8 bots, we run **8 independent OpenClaw processes**.
|
||||
|
||||
### Why this works:
|
||||
1. **Bypasses the Bug:** The `@buape/carbon` crash only happens when one process handles multiple tokens. One token per process = **100% Stability.**
|
||||
2. **Native Power:** Restores streaming, threads, and rich media.
|
||||
3. **Shared Brain:** All instances mount the same physical workspace folder. They "see" each other's files in real-time.
|
||||
|
||||
---
|
||||
|
||||
## 3. TECHNICAL IMPLEMENTATION
|
||||
|
||||
### A. Directory Structure (T420)
|
||||
```text
|
||||
~/atomizer/
|
||||
├── docker-compose.yml # The Orchestrator
|
||||
├── .env # Store all 8 DISCORD_TOKENs here
|
||||
├── instances/ # Private Agent State (SQLite, local logs)
|
||||
│ ├── manager/
|
||||
│ ├── tech-lead/
|
||||
│ └── secretary/ ...
|
||||
└── workspaces/ # THE SHARED PROJECT FOLDERS
|
||||
├── manager/ # SOUL.md, MEMORY.md
|
||||
├── technical-lead/
|
||||
└── shared_context/ # PROJECT_STATUS.md (Global State)
|
||||
````
|
||||
|
||||
### B. The Orchestrator (`docker-compose.yml`)
|
||||
|
||||
Copy this into `~/atomizer/docker-compose.yml`. This allows you to manage all bots with one command: `docker-compose up -d`.
|
||||
|
||||
YAML
|
||||
|
||||
```
|
||||
services:
|
||||
# Template for all Atomizer Agents
|
||||
x-agent-base: &agent-base
|
||||
image: openclaw/openclaw:latest
|
||||
restart: unless-stopped
|
||||
volumes:
|
||||
- ./workspaces:/app/workspaces
|
||||
- ./skills:/app/skills
|
||||
|
||||
manager:
|
||||
<<: *agent-base
|
||||
container_name: atom-manager
|
||||
environment:
|
||||
- DISCORD_TOKEN=${MANAGER_TOKEN}
|
||||
volumes:
|
||||
- ./instances/manager:/root/.openclaw
|
||||
|
||||
tech-lead:
|
||||
<<: *agent-base
|
||||
container_name: atom-tech-lead
|
||||
environment:
|
||||
- DISCORD_TOKEN=${TECH_LEAD_TOKEN}
|
||||
volumes:
|
||||
- ./instances/tech-lead:/root/.openclaw
|
||||
|
||||
# ... Repeat for: secretary, auditor, optimizer, study-builder, nx-expert, webster
|
||||
# Use unique container_names and token environment variables for each.
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 4. THE COLLABORATION PROTOCOL (System Prompt)
|
||||
|
||||
Inject this logic into the **SOUL.md** or System Prompt of every agent to ensure they act as a team, not 8 strangers.
|
||||
|
||||
> ### 🤖 CLUSTER OPERATING RULES
|
||||
>
|
||||
> 1. **Context Awareness:** You are part of the Atomizer Cluster. Your shared project data lives in `/app/workspaces/`.
|
||||
>
|
||||
> 2. **State Check:** Before every response, read `/app/workspaces/shared_context/PROJECT_STATUS.md`.
|
||||
>
|
||||
> 3. **Inter-Agent Triggering:** To request help from another agent, write a task file to `/app/workspaces/[agent-id]/INBOX/task.json`.
|
||||
>
|
||||
> 4. **Discord Etiquette:** Only respond if @mentioned or if you are the designated owner of a Discord Thread. Use threads to isolate complex engineering tasks.
|
||||
>
|
||||
|
||||
---
|
||||
|
||||
## 5. TRANSITION STEPS
|
||||
|
||||
1. **Kill the Bridge:** `pm2 stop discord-bridge` or `systemctl stop discord-bridge`.
|
||||
|
||||
2. **Setup Docker:** Install Docker on the T420 if not present.
|
||||
|
||||
3. **Map Volumes:** Ensure `~/atomizer/workspaces` contains your existing agent data.
|
||||
|
||||
4. **Deploy:** Run `docker-compose up -d`.
|
||||
|
||||
5. **Test:** Mention `@Atomizer Tech Lead` in Discord. You should see it typing and streaming immediately.
|
||||
|
||||
|
||||
---
|
||||
|
||||
## 6. FINAL VERDICT
|
||||
|
||||
This move converts the system from a "simulated" multi-bot setup to a **Native Agentic Ecosystem**. It is more robust, faster, and allows the LLMs to actually use the Discord features (like threads) to manage project complexity.
|
||||
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### How to use this:
|
||||
1. Copy the code block above.
|
||||
2. Save it as `Atomizer-Architecture-Pivot.md` on your T420.
|
||||
3. You now have a single "Source of Truth" to guide your build.
|
||||
|
||||
**Would you like me to write the `PROJECT_STATUS.md` template so your bots know how to read/write to the shared state?**
|
||||
```
|
||||
858
docs/hq/10-ORCHESTRATION-ENGINE-PLAN.md
Normal file
858
docs/hq/10-ORCHESTRATION-ENGINE-PLAN.md
Normal file
@@ -0,0 +1,858 @@
|
||||
# 10 — Orchestration Engine: Multi-Instance Intelligence
|
||||
|
||||
> **Status:** Phases 1-3 Complete — Phase 4 (Metrics + Docs) in progress
|
||||
> **Author:** Mario Lavoie (with Antoine)
|
||||
> **Date:** 2026-02-15
|
||||
> **Revised:** 2026-02-15 — Incorporated Webster's review (validation loops, error handling, hierarchical delegation)
|
||||
|
||||
---
|
||||
|
||||
## Problem Statement
|
||||
|
||||
The Atomizer HQ cluster runs 8 independent OpenClaw instances (one per agent). This gives us true parallelism, specialized contexts, and independent Discord identities — but we lost the orchestration primitives that make a single OpenClaw instance powerful:
|
||||
|
||||
- **`sessions_spawn`** — synchronous delegation with result return
|
||||
- **`sessions_history`** — cross-session context reading
|
||||
- **`sessions_send`** — bidirectional inter-session messaging
|
||||
|
||||
The current `delegate.sh` is fire-and-forget. Manager throws a task over the wall and hopes. No result flows back. No chaining. No intelligent multi-step workflows.
|
||||
|
||||
**Goal:** Rebuild OpenClaw's orchestration power at the inter-instance level, enhanced with Discord channel context and a capability registry.
|
||||
|
||||
---
|
||||
|
||||
## Architecture Overview
|
||||
|
||||
Three layers, each building on the last:
|
||||
|
||||
```
|
||||
┌─────────────────────────────────────────────────────┐
|
||||
│ LAYER 3: WORKFLOWS │
|
||||
│ YAML-defined multi-step pipelines │
|
||||
│ (sequential, parallel, conditional branching) │
|
||||
├─────────────────────────────────────────────────────┤
|
||||
│ LAYER 2: SMART ROUTING │
|
||||
│ Capability registry + channel context │
|
||||
│ (manager knows who can do what + project state) │
|
||||
├─────────────────────────────────────────────────────┤
|
||||
│ LAYER 1: ORCHESTRATION CORE │
|
||||
│ Synchronous delegation + result return protocol │
|
||||
│ (replaces fire-and-forget delegate.sh) │
|
||||
├─────────────────────────────────────────────────────┤
|
||||
│ EXISTING INFRASTRUCTURE │
|
||||
│ 8 OpenClaw instances, hooks API, shared filesystem│
|
||||
└─────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Layer 1: Orchestration Core
|
||||
|
||||
**What it does:** Replaces `delegate.sh` with synchronous delegation. Manager sends a task, waits for the result, gets structured output back. Can then chain to the next agent.
|
||||
|
||||
### 1.1 — The Orchestrate Script
|
||||
|
||||
**File:** `/home/papa/atomizer/workspaces/shared/skills/orchestrate/orchestrate.sh`
|
||||
|
||||
**Behavior:**
|
||||
1. Send task to target agent via `/hooks/agent` (existing mechanism)
|
||||
2. Poll the agent's session for completion via `/hooks/status/{runId}` or `/sessions` API
|
||||
3. Capture the agent's response (structured output)
|
||||
4. Return it to the calling agent's session
|
||||
|
||||
```bash
|
||||
# Usage
|
||||
result=$(bash orchestrate.sh <agent> "<task>" [options])
|
||||
|
||||
# Example: synchronous delegation
|
||||
result=$(bash orchestrate.sh webster "Find CTE of Zerodur Class 0 at 20-40°C" --wait --timeout 120)
|
||||
echo "$result" # Structured findings returned to manager's session
|
||||
```
|
||||
|
||||
**Options:**
|
||||
- `--wait` — Block until agent completes (default for orchestrate)
|
||||
- `--timeout <seconds>` — Max wait time (default: 300)
|
||||
- `--retries <N>` — Retry on failure (default: 1, max: 3)
|
||||
- `--format json|text` — Expected response format
|
||||
- `--context <file>` — Attach context file to the task
|
||||
- `--channel-context <channel-id> [--messages N]` — Include recent channel history as context
|
||||
- `--validate` — Run lightweight self-check on agent output before returning
|
||||
- `--no-deliver` — Don't post to Discord (manager will synthesize and post)
|
||||
|
||||
### 1.2 — Report-Back Protocol
|
||||
|
||||
Each agent gets instructions in their SOUL.md to format delegation responses:
|
||||
|
||||
```markdown
|
||||
## When responding to a delegated task:
|
||||
Structure your response as:
|
||||
|
||||
**TASK:** [restate what was asked]
|
||||
**STATUS:** complete | partial | blocked | failed
|
||||
**RESULT:** [your findings/output]
|
||||
**ARTIFACTS:** [any files created, with paths]
|
||||
**CONFIDENCE:** high | medium | low
|
||||
**NOTES:** [caveats, assumptions, open questions]
|
||||
```
|
||||
|
||||
This gives manager structured data to reason about, not just a wall of text.
|
||||
|
||||
### 1.3 — Validation & Self-Check Protocol
|
||||
|
||||
Every delegated response goes through a lightweight validation before the orchestrator accepts it:
|
||||
|
||||
**Self-Check (built into agent SOUL.md instructions):**
|
||||
Each agent, when responding to a delegated task, must verify:
|
||||
- Did I answer all parts of the question?
|
||||
- Did I provide sources/evidence where applicable?
|
||||
- Is my confidence rating honest?
|
||||
|
||||
If the agent's self-check identifies gaps, it sets `STATUS: partial` and explains what's missing in `NOTES`.
|
||||
|
||||
**Orchestrator-Side Validation (in `orchestrate.sh`):**
|
||||
When `--validate` is passed (or for workflow steps with `validation` blocks):
|
||||
1. Check that handoff JSON has all required fields (status, result, confidence)
|
||||
2. If `STATUS: failed` or `STATUS: blocked` → trigger retry (up to `--retries` limit)
|
||||
3. If `STATUS: partial` and confidence is `low` → retry with refined prompt including the partial result
|
||||
4. If retries exhausted → return partial result with warning flag for the orchestrator to decide
|
||||
|
||||
**Full Audit Validation (for high-stakes steps):**
|
||||
Workflow YAML can specify a validation agent (typically auditor) for critical steps:
|
||||
|
||||
```yaml
|
||||
- id: research
|
||||
agent: webster
|
||||
task: "Research materials..."
|
||||
validation:
|
||||
agent: auditor
|
||||
criteria: "Are all requested properties present with credible sources?"
|
||||
on_fail: retry
|
||||
max_retries: 2
|
||||
```
|
||||
|
||||
This runs the auditor on the output before passing it downstream. Prevents garbage-in-garbage-out in critical pipelines.
|
||||
|
||||
### 1.4 — Error Handling (Phase 1 Priority)
|
||||
|
||||
Error handling is not deferred — it ships with the orchestration core:
|
||||
|
||||
**Agent unreachable:**
|
||||
- `orchestrate.sh` checks health endpoint before sending
|
||||
- If agent is down: log error, return immediately with `STATUS: error, reason: agent_unreachable`
|
||||
- Caller (manager or workflow engine) decides whether to retry, skip, or abort
|
||||
|
||||
**Timeout:**
|
||||
- Configurable per call (`--timeout`) and per workflow step
|
||||
- On timeout: kill the polling loop, check if partial handoff exists
|
||||
- If partial result available: return it with `STATUS: timeout_partial`
|
||||
- If no result: return `STATUS: timeout`
|
||||
|
||||
**Malformed response:**
|
||||
- Agent didn't write handoff file or wrote invalid JSON
|
||||
- `orchestrate.sh` validates JSON schema before returning
|
||||
- On malformed: retry once with explicit reminder to write structured output
|
||||
- If still malformed: return raw text with `STATUS: malformed`
|
||||
|
||||
**Retry logic (with idempotency):**
|
||||
```
|
||||
Attempt 1: Generate idempotencyKey={wfRunId}_{stepId}_1 → Send task → wait → check result
|
||||
If timeout → Check if handoff file exists (late arrival). If yes → use it. If no:
|
||||
Attempt 2: idempotencyKey={wfRunId}_{stepId}_2 → Resend with "Previous attempt failed: {reason}. Please retry."
|
||||
If timeout → Same late-arrival check. If no:
|
||||
Attempt 3 (if --retries 3): Same pattern
|
||||
If fail → Return error to caller with all attempt details
|
||||
```
|
||||
**Key rule:** Before every retry, check if the handoff file from the previous attempt landed. Prevents duplicate work when an agent was just slow, not dead.
|
||||
|
||||
### 1.5 — Result Capture Mechanism
|
||||
|
||||
Two options (implement both, prefer A):
|
||||
|
||||
**Option A — File-based handoff:**
|
||||
- Agent writes result to `/home/papa/atomizer/handoffs/{runId}.json`
|
||||
- Orchestrate script polls for file existence
|
||||
- Clean, simple, works with shared filesystem
|
||||
|
||||
```json
|
||||
{
|
||||
"schemaVersion": "1.0",
|
||||
"runId": "hook-delegation-1739587200",
|
||||
"idempotencyKey": "wf-mat-study-001_research_1",
|
||||
"workflowRunId": "wf-mat-study-001",
|
||||
"stepId": "research",
|
||||
"attempt": 1,
|
||||
"agent": "webster",
|
||||
"status": "complete",
|
||||
"result": "Zerodur Class 0 CTE: 0 ± 0.007 ppm/K (20-40°C)...",
|
||||
"artifacts": [],
|
||||
"confidence": "high",
|
||||
"latencyMs": 45200,
|
||||
"timestamp": "2026-02-15T03:00:00Z"
|
||||
}
|
||||
```
|
||||
|
||||
**Required fields:** `schemaVersion`, `runId`, `agent`, `status`, `result`, `confidence`, `timestamp`
|
||||
**Trace fields (required):** `workflowRunId`, `stepId`, `attempt`, `latencyMs`
|
||||
**Idempotency:** `idempotencyKey` = `{workflowRunId}_{stepId}_{attempt}`. Orchestrator checks for existing handoff before retrying — if result exists, skip resend.
|
||||
|
||||
**Option B — Hooks callback:**
|
||||
- Agent calls manager's `/hooks/report` endpoint with result
|
||||
- More real-time but adds complexity
|
||||
- Use for time-sensitive workflows
|
||||
|
||||
### 1.6 — Chaining Example
|
||||
|
||||
```bash
|
||||
# Manager orchestrates a material trade study
|
||||
# Step 1: Research
|
||||
data=$(bash orchestrate.sh webster "Research Clearceram-Z HS vs Zerodur Class 0: CTE, density, cost, lead time" --wait)
|
||||
|
||||
# Step 2: Technical evaluation (pass webster's findings as context)
|
||||
echo "$data" > /tmp/material_data.json
|
||||
assessment=$(bash orchestrate.sh tech-lead "Evaluate these materials for M2/M3 mirrors against our thermal requirements" --context /tmp/material_data.json --wait)
|
||||
|
||||
# Step 3: Audit
|
||||
echo "$assessment" > /tmp/assessment.json
|
||||
audit=$(bash orchestrate.sh auditor "Review this technical assessment for completeness" --context /tmp/assessment.json --wait)
|
||||
|
||||
# Step 4: Manager synthesizes and delivers
|
||||
# (Manager has all three results in-session, reasons about them, posts to Discord)
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Layer 2: Smart Routing
|
||||
|
||||
**What it does:** Manager knows each agent's capabilities, strengths, and model. Routes tasks intelligently without hardcoded logic.
|
||||
|
||||
### 2.1 — Agent Capability Registry
|
||||
|
||||
**File:** `/home/papa/atomizer/workspaces/shared/AGENTS_REGISTRY.json`
|
||||
|
||||
```json
|
||||
{
|
||||
"agents": {
|
||||
"tech-lead": {
|
||||
"port": 18804,
|
||||
"model": "anthropic/claude-opus-4-6",
|
||||
"capabilities": [
|
||||
"fea-review",
|
||||
"design-decisions",
|
||||
"technical-analysis",
|
||||
"material-selection",
|
||||
"requirements-validation",
|
||||
"trade-studies"
|
||||
],
|
||||
"strengths": "Deep reasoning, technical judgment, complex analysis",
|
||||
"limitations": "Slow (Opus), expensive tokens — use for high-value decisions",
|
||||
"inputFormat": "Technical problem with context and constraints",
|
||||
"outputFormat": "Structured analysis with recommendations and rationale",
|
||||
"channels": ["#hq", "#technical"]
|
||||
},
|
||||
"webster": {
|
||||
"port": 18828,
|
||||
"model": "google/gemini-2.5-pro",
|
||||
"capabilities": [
|
||||
"web-research",
|
||||
"literature-review",
|
||||
"data-lookup",
|
||||
"supplier-search",
|
||||
"standards-lookup",
|
||||
"competitive-analysis"
|
||||
],
|
||||
"strengths": "Fast research, broad knowledge, cheap tokens, web access",
|
||||
"limitations": "No deep technical judgment — finds data, doesn't evaluate it",
|
||||
"inputFormat": "Natural language query with specifics",
|
||||
"outputFormat": "Structured findings with sources and confidence",
|
||||
"channels": ["#hq", "#research"]
|
||||
},
|
||||
"optimizer": {
|
||||
"port": 18816,
|
||||
"model": "anthropic/claude-sonnet-4-20250514",
|
||||
"capabilities": [
|
||||
"optimization-setup",
|
||||
"parameter-studies",
|
||||
"objective-definition",
|
||||
"constraint-formulation",
|
||||
"result-interpretation",
|
||||
"sensitivity-analysis"
|
||||
],
|
||||
"strengths": "Optimization methodology, mathematical formulation, DOE",
|
||||
"limitations": "Needs clear problem definition — not for open-ended exploration",
|
||||
"inputFormat": "Optimization problem with objectives, variables, constraints",
|
||||
"outputFormat": "Study configuration, parameter definitions, result analysis",
|
||||
"channels": ["#hq", "#optimization"]
|
||||
},
|
||||
"study-builder": {
|
||||
"port": 18820,
|
||||
"model": "anthropic/claude-sonnet-4-20250514",
|
||||
"capabilities": [
|
||||
"study-configuration",
|
||||
"doe-setup",
|
||||
"batch-generation",
|
||||
"parameter-sweeps",
|
||||
"study-templates"
|
||||
],
|
||||
"strengths": "Translating optimization plans into executable study configs",
|
||||
"limitations": "Needs optimizer's plan as input — doesn't design studies independently",
|
||||
"inputFormat": "Study plan from optimizer with parameter ranges",
|
||||
"outputFormat": "Ready-to-run study configuration files",
|
||||
"channels": ["#hq", "#optimization"]
|
||||
},
|
||||
"nx-expert": {
|
||||
"port": 18824,
|
||||
"model": "anthropic/claude-sonnet-4-20250514",
|
||||
"capabilities": [
|
||||
"nx-operations",
|
||||
"mesh-generation",
|
||||
"boundary-conditions",
|
||||
"nastran-setup",
|
||||
"cad-manipulation",
|
||||
"post-processing"
|
||||
],
|
||||
"strengths": "NX/Simcenter expertise, FEA model setup, hands-on CAD/FEM work",
|
||||
"limitations": "Needs clear instructions — not for high-level design decisions",
|
||||
"inputFormat": "Specific NX task with model reference and parameters",
|
||||
"outputFormat": "Completed operation with verification screenshots/data",
|
||||
"channels": ["#hq", "#nx-work"]
|
||||
},
|
||||
"auditor": {
|
||||
"port": 18812,
|
||||
"model": "anthropic/claude-opus-4-6",
|
||||
"capabilities": [
|
||||
"quality-review",
|
||||
"compliance-check",
|
||||
"methodology-audit",
|
||||
"assumption-validation",
|
||||
"report-review",
|
||||
"standards-compliance"
|
||||
],
|
||||
"strengths": "Critical eye, finds gaps and errors, ensures rigor",
|
||||
"limitations": "Reviews work, doesn't create it — needs output from other agents",
|
||||
"inputFormat": "Work product to review with applicable standards/requirements",
|
||||
"outputFormat": "Structured review: findings, severity, recommendations",
|
||||
"channels": ["#hq", "#quality"]
|
||||
},
|
||||
"secretary": {
|
||||
"port": 18808,
|
||||
"model": "google/gemini-2.5-flash",
|
||||
"capabilities": [
|
||||
"meeting-notes",
|
||||
"status-reports",
|
||||
"documentation",
|
||||
"scheduling",
|
||||
"action-tracking",
|
||||
"communication-drafting"
|
||||
],
|
||||
"strengths": "Fast, cheap, good at summarization and admin tasks",
|
||||
"limitations": "Not for technical work — administrative and organizational only",
|
||||
"inputFormat": "Admin task or raw content to organize",
|
||||
"outputFormat": "Clean documentation, summaries, action lists",
|
||||
"channels": ["#hq", "#admin"]
|
||||
},
|
||||
"manager": {
|
||||
"port": 18800,
|
||||
"model": "anthropic/claude-opus-4-6",
|
||||
"capabilities": [
|
||||
"orchestration",
|
||||
"project-planning",
|
||||
"task-decomposition",
|
||||
"priority-management",
|
||||
"stakeholder-communication",
|
||||
"workflow-execution"
|
||||
],
|
||||
"strengths": "Strategic thinking, orchestration, synthesis across agents",
|
||||
"limitations": "Should not do technical work — delegates everything",
|
||||
"inputFormat": "High-level directives from Antoine (CEO)",
|
||||
"outputFormat": "Plans, status updates, synthesized deliverables",
|
||||
"channels": ["#hq"]
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### 2.2 — Manager Routing Logic
|
||||
|
||||
Added to Manager's SOUL.md as a skill directive:
|
||||
|
||||
```markdown
|
||||
## Smart Routing
|
||||
Before delegating, consult `/home/papa/atomizer/workspaces/shared/AGENTS_REGISTRY.json`.
|
||||
- Match task requirements to agent capabilities
|
||||
- Consider model strengths (Opus for reasoning, Gemini for speed, Sonnet for balanced)
|
||||
- For multi-step tasks, plan the full pipeline before starting
|
||||
- Prefer parallel execution when steps are independent
|
||||
- Always specify what you need back (don't let agents guess)
|
||||
```
|
||||
|
||||
### 2.3 — Discord Channel Context Integration
|
||||
|
||||
**How channels feed context into orchestration:**
|
||||
|
||||
Each Discord channel accumulates project-specific conversation history. The orchestration layer can pull this as context:
|
||||
|
||||
```bash
|
||||
# In orchestrate.sh, --channel-context fetches recent messages
|
||||
bash orchestrate.sh tech-lead "Review thermal margins for M2" \
|
||||
--channel-context "#gigabit-m1" --messages 50 \
|
||||
--wait
|
||||
```
|
||||
|
||||
**Implementation:** Use Discord bot API (each instance has a bot token) to fetch channel message history. Format as context block prepended to the task.
|
||||
|
||||
**Channel strategy for Atomizer HQ Discord:**
|
||||
|
||||
| Channel | Purpose | Context Value |
|
||||
|---------|---------|---------------|
|
||||
| `#hq` | Cross-team coordination, announcements | Project-wide decisions |
|
||||
| `#technical` | FEA discussions, design decisions | Technical context for analysis tasks |
|
||||
| `#optimization` | Study configs, results, methodology | Optimization history and patterns |
|
||||
| `#research` | Webster's findings, literature | Reference data for technical work |
|
||||
| `#quality` | Audit findings, compliance notes | Review standards and past issues |
|
||||
| `#nx-work` | CAD/FEM operations, model updates | Model state and recent changes |
|
||||
| `#admin` | Meeting notes, schedules, action items | Project timeline and commitments |
|
||||
| `#handoffs` | Automated orchestration results (bot-only) | Pipeline audit trail |
|
||||
|
||||
**Key insight:** Channels become **persistent, queryable context stores**. Instead of passing massive context blocks between agents, you say "read #technical for the last 20 messages" and the agent absorbs project state naturally.
|
||||
|
||||
**Channel Context Sanitization (security):**
|
||||
Discord history is untrusted input. Before injecting into an agent's context:
|
||||
- Cap at configurable token window (default: last 30 messages, max ~4K tokens)
|
||||
- Strip any system-prompt-like instructions from message content
|
||||
- Tag entire block as `[CHANNEL CONTEXT — untrusted, for reference only]`
|
||||
- Never let channel content override task instructions
|
||||
|
||||
This prevents prompt injection via crafted Discord messages in channel history.
|
||||
|
||||
---
|
||||
|
||||
## Layer 3: Workflow Engine
|
||||
|
||||
**What it does:** Defines reusable multi-step pipelines as YAML. Manager reads and executes them. No coding needed to create new workflows.
|
||||
|
||||
### 3.1 — Workflow Definition Format
|
||||
|
||||
**Location:** `/home/papa/atomizer/workspaces/shared/workflows/`
|
||||
|
||||
```yaml
|
||||
# /home/papa/atomizer/workspaces/shared/workflows/material-trade-study.yaml
|
||||
name: Material Trade Study
|
||||
description: Research, evaluate, and audit material options for optical components
|
||||
trigger: manual # or: keyword, schedule
|
||||
|
||||
inputs:
|
||||
materials:
|
||||
type: list
|
||||
description: "Materials to compare"
|
||||
requirements:
|
||||
type: text
|
||||
description: "Performance requirements and constraints"
|
||||
project_channel:
|
||||
type: channel
|
||||
description: "Project channel for context"
|
||||
|
||||
steps:
|
||||
- id: research
|
||||
agent: webster
|
||||
task: |
|
||||
Research the following materials: {materials}
|
||||
For each material, find: CTE (with temperature range), density, Young's modulus,
|
||||
cost per kg, lead time, availability, and any known issues for optical applications.
|
||||
Provide sources for all data.
|
||||
channel_context: "{project_channel}"
|
||||
channel_messages: 30
|
||||
timeout: 180
|
||||
retries: 2
|
||||
output: material_data
|
||||
validation:
|
||||
agent: auditor
|
||||
criteria: "Are all requested material properties present with credible sources? Flag any missing data."
|
||||
on_fail: retry
|
||||
|
||||
- id: evaluate
|
||||
agent: tech-lead
|
||||
task: |
|
||||
Evaluate these materials against our requirements:
|
||||
|
||||
REQUIREMENTS:
|
||||
{requirements}
|
||||
|
||||
MATERIAL DATA:
|
||||
{material_data}
|
||||
|
||||
Provide a recommendation with full rationale. Include a comparison matrix.
|
||||
depends_on: [research]
|
||||
timeout: 300
|
||||
retries: 1
|
||||
output: technical_assessment
|
||||
|
||||
- id: audit
|
||||
agent: auditor
|
||||
task: |
|
||||
Review this material trade study for completeness, methodological rigor,
|
||||
and potential gaps:
|
||||
|
||||
{technical_assessment}
|
||||
|
||||
Check: Are all requirements addressed? Are sources credible?
|
||||
Are there materials that should have been considered but weren't?
|
||||
depends_on: [evaluate]
|
||||
timeout: 180
|
||||
output: audit_result
|
||||
|
||||
- id: synthesize
|
||||
agent: manager
|
||||
action: synthesize # Manager processes internally, doesn't delegate
|
||||
inputs: [material_data, technical_assessment, audit_result]
|
||||
deliver:
|
||||
channel: "{project_channel}"
|
||||
format: summary # Manager writes a clean summary post
|
||||
|
||||
notifications:
|
||||
on_complete: "#hq"
|
||||
on_failure: "#hq"
|
||||
```
|
||||
|
||||
### 3.2 — More Workflow Templates
|
||||
|
||||
**Design Review:**
|
||||
```yaml
|
||||
name: Design Review
|
||||
steps:
|
||||
- id: prepare
|
||||
agent: secretary
|
||||
task: "Compile design package: gather latest CAD screenshots, analysis results, and requirements from {project_channel}"
|
||||
|
||||
- id: technical_review
|
||||
agent: tech-lead
|
||||
task: "Review design against requirements: {prepare}"
|
||||
depends_on: [prepare]
|
||||
|
||||
- id: optimization_review
|
||||
agent: optimizer
|
||||
task: "Assess optimization potential: {prepare}"
|
||||
depends_on: [prepare]
|
||||
|
||||
# technical_review and optimization_review run in PARALLEL (no dependency between them)
|
||||
|
||||
- id: audit
|
||||
agent: auditor
|
||||
task: "Final review: {technical_review} + {optimization_review}"
|
||||
depends_on: [technical_review, optimization_review]
|
||||
|
||||
- id: deliver
|
||||
agent: secretary
|
||||
task: "Format design review report from: {audit}"
|
||||
depends_on: [audit]
|
||||
deliver:
|
||||
channel: "{project_channel}"
|
||||
```
|
||||
|
||||
**Quick Research:**
|
||||
```yaml
|
||||
name: Quick Research
|
||||
steps:
|
||||
- id: research
|
||||
agent: webster
|
||||
task: "{query}"
|
||||
timeout: 120
|
||||
output: findings
|
||||
|
||||
- id: validate
|
||||
agent: tech-lead
|
||||
task: "Verify these findings are accurate and relevant: {findings}"
|
||||
depends_on: [research]
|
||||
deliver:
|
||||
channel: "{request_channel}"
|
||||
```
|
||||
|
||||
### 3.3 — Workflow Executor
|
||||
|
||||
**File:** `/home/papa/atomizer/workspaces/shared/skills/orchestrate/workflow.sh`
|
||||
|
||||
The manager's orchestration skill reads YAML workflows and executes them:
|
||||
|
||||
```bash
|
||||
# Run a workflow
|
||||
bash workflow.sh material-trade-study \
|
||||
--input materials="Zerodur Class 0, Clearceram-Z HS, ULE" \
|
||||
--input requirements="CTE < 0.01 ppm/K at 22°C, aperture 250mm" \
|
||||
--input project_channel="#gigabit-m1"
|
||||
```
|
||||
|
||||
**Executor logic:**
|
||||
1. Parse YAML workflow definition
|
||||
2. Resolve dependencies → build execution graph
|
||||
3. Execute steps in order (parallel when no dependencies)
|
||||
4. For each step: call `orchestrate.sh` with task + resolved inputs
|
||||
5. Store results in `/home/papa/atomizer/handoffs/workflows/{workflow-run-id}/`
|
||||
6. On completion: deliver final output to specified channel
|
||||
7. On failure: notify `#hq` with error details and partial results
|
||||
|
||||
---
|
||||
|
||||
## Implementation Plan
|
||||
|
||||
### Phase 1: Orchestration Core + Validation + Error Handling (Day 1 — Feb 15) ✅ COMPLETE
|
||||
**Actual effort: ~6 hours**
|
||||
|
||||
- [x] **1.1** Created `/home/papa/atomizer/workspaces/shared/skills/orchestrate/` directory
|
||||
- [x] **1.2** Built `orchestrate.py` (Python, not bash) — synchronous delegation with inotify-based waiting
|
||||
- Send via `/hooks/agent` (existing)
|
||||
- inotify watches handoff directory for result file
|
||||
- Timeout handling (configurable per call, `--timeout`)
|
||||
- Retry logic (`--retries N`, max 3, with error context)
|
||||
- Returns structured JSON result to caller
|
||||
- Thin bash wrapper: `orchestrate.sh`
|
||||
- [x] **1.3** Created `/home/papa/atomizer/handoffs/` directory for result passing
|
||||
- [x] **1.4** Updated all 8 agent SOUL.md files with:
|
||||
- Structured response format for delegated tasks (JSON handoff protocol)
|
||||
- Self-check protocol (verify completeness before submitting)
|
||||
- Write result to `/home/papa/atomizer/handoffs/{runId}.json` on completion
|
||||
- [x] **1.5** Implemented error handling in `orchestrate.py`
|
||||
- Health check before sending (agent health endpoint)
|
||||
- Timeout with partial result recovery
|
||||
- Malformed response detection and retry
|
||||
- Idempotency check before retry (check if handoff file landed late)
|
||||
- All errors logged to `/home/papa/atomizer/logs/orchestration/`
|
||||
- [x] **1.6** Implemented trace logging in handoff files
|
||||
- Required fields validated: `schemaVersion`, `runId`, `agent`, `status`, `result`, `confidence`, `timestamp`
|
||||
- Unified JSONL logging with trace fields
|
||||
- [x] **1.7** Implemented `--validate` flag for strict orchestrator-side output validation
|
||||
- [x] **1.8** Deployed `orchestrate` skill to Manager (SOUL.md + TOOLS.md updated)
|
||||
- [x] **1.9** Test: Manager → Webster smoke tests passed (18-49s response times, 12 successful handoffs)
|
||||
- Chain test (Webster → Tech-Lead): Webster completed, Tech-Lead returned `partial` due to missing context passthrough — engine bug, not protocol bug
|
||||
- [x] **1.10** Test: ACL enforcement works (deny/allow), strict validation works
|
||||
- [x] **1.11** `delegate.sh` kept as fallback for fire-and-forget use cases
|
||||
|
||||
**Key implementation decisions:**
|
||||
- Python (`orchestrate.py`) over bash for all logic — better JSON handling, inotify support, error handling
|
||||
- `inotify_simple` for instant file detection (no polling)
|
||||
- Session key format: `hook:orchestrate:{run_id}:{attempt}`
|
||||
- ACL matrix hardcoded: Manager → all; Tech-Lead → webster/nx-expert/study-builder/secretary; Optimizer → webster/study-builder/secretary
|
||||
|
||||
**Known issues to fix in Phase 2:**
|
||||
- Chain context passthrough: when chaining A→B→C, B's result must be explicitly injected into C's task
|
||||
- Webster's Brave API key intermittently fails (recovered on retry)
|
||||
- Manager Discord WebSocket reconnect loop (code 1005) — doesn't affect orchestration but blocks channel posting
|
||||
|
||||
### Phase 2: Smart Routing + Channel Context + Hierarchical Delegation (Day 1-2 — Feb 15-16)
|
||||
**Estimated effort: 4-5 hours**
|
||||
|
||||
- [x] **2.1** Create `AGENTS_REGISTRY.json` in shared workspace *(completed 2026-02-15 — channel context fetcher built, hierarchical delegation deployed to Tech-Lead + Optimizer, ACL tested, all tests pass)*
|
||||
- [x] **2.2** Update Manager's SOUL.md with routing instructions *(completed 2026-02-15 — channel context fetcher built, hierarchical delegation deployed to Tech-Lead + Optimizer, ACL tested, all tests pass)*
|
||||
- [x] **2.3** Build channel context fetcher (`fetch-channel-context.sh`) *(completed 2026-02-15 — channel context fetcher built, hierarchical delegation deployed to Tech-Lead + Optimizer, ACL tested, all tests pass)*
|
||||
- Uses Discord bot token to pull recent messages
|
||||
- Formats as markdown context block
|
||||
- Integrates with `orchestrate.sh` via `--channel-context` flag
|
||||
- [x] **2.4** Set up Discord channels per the channel strategy table *(completed 2026-02-15 — channel context fetcher built, hierarchical delegation deployed to Tech-Lead + Optimizer, ACL tested, all tests pass)*
|
||||
- [x] **2.5** Implement hierarchical delegation *(completed 2026-02-15 — channel context fetcher built, hierarchical delegation deployed to Tech-Lead + Optimizer, ACL tested, all tests pass)*
|
||||
- Deploy `orchestrate` skill to Tech-Lead and Optimizer
|
||||
- Add sub-orchestration rules to their SOUL.md (can delegate to: Webster, Study-Builder, NX-Expert, Secretary)
|
||||
- Cannot delegate to: Manager, Auditor, each other (prevents loops)
|
||||
- All sub-delegations logged to `/home/papa/atomizer/handoffs/sub/` for Manager visibility
|
||||
- [x] **2.6** Enforce delegation ACL matrix in `orchestrate.sh` runtime *(completed 2026-02-15 — channel context fetcher built, hierarchical delegation deployed to Tech-Lead + Optimizer, ACL tested, all tests pass)*
|
||||
- Hardcoded check: caller + target validated against allowed pairs
|
||||
- Manager → can delegate to all agents
|
||||
- Tech-Lead → can delegate to: Webster, NX-Expert, Study-Builder, Secretary
|
||||
- Optimizer → can delegate to: Webster, Study-Builder, Secretary
|
||||
- All others → cannot sub-delegate (must go through Manager)
|
||||
- Block self-delegation and circular paths at runtime (not just SOUL.md policy)
|
||||
- [x] **2.7** Implement channel context sanitization *(completed 2026-02-15 — channel context fetcher built, hierarchical delegation deployed to Tech-Lead + Optimizer, ACL tested, all tests pass)*
|
||||
- Cap token window, strip system-like instructions, tag as untrusted
|
||||
- [x] **2.8** Test: Manager auto-routes a task based on registry + includes channel context *(completed 2026-02-15 — channel context fetcher built, hierarchical delegation deployed to Tech-Lead + Optimizer, ACL tested, all tests pass)*
|
||||
- [x] **2.9** Test: Tech-Lead delegates a data lookup to Webster mid-analysis *(completed 2026-02-15 — channel context fetcher built, hierarchical delegation deployed to Tech-Lead + Optimizer, ACL tested, all tests pass)*
|
||||
- [x] **2.10** Test: Auditor tries to sub-delegate → blocked by ACL *(completed 2026-02-15 — channel context fetcher built, hierarchical delegation deployed to Tech-Lead + Optimizer, ACL tested, all tests pass)*
|
||||
|
||||
### Phase 3: Workflow Engine (Day 2-3 — Feb 16-17)
|
||||
**Estimated effort: 6-8 hours**
|
||||
|
||||
- [x] **3.1** Build YAML workflow parser (Python script)
|
||||
- Implemented in `workflow.py` with name/path resolution from `/home/papa/atomizer/workspaces/shared/workflows/`, schema checks, step-ID validation, dependency validation, and cycle detection.
|
||||
- [x] **3.2** Build workflow executor (`workflow.sh`)
|
||||
- Dependency resolution
|
||||
- Parallel step execution
|
||||
- Variable substitution
|
||||
- Error handling and partial results
|
||||
- Implemented executor in `workflow.py` with `ThreadPoolExecutor`, dependency-aware scheduling, step-level `on_fail` handling (`skip`/`abort`), overall timeout enforcement, approval gates, and JSON summary output.
|
||||
- Added thin wrapper `workflow.sh`.
|
||||
- [x] **3.3** Create initial workflow templates:
|
||||
- `material-trade-study.yaml`
|
||||
- `design-review.yaml`
|
||||
- `quick-research.yaml`
|
||||
- [x] **3.4** Deploy workflow skill to Manager
|
||||
- Updated Manager `SOUL.md` with a dedicated "Running Workflows" section and command example.
|
||||
- Updated Manager `TOOLS.md` with `workflow.py`/`workflow.sh` references and usage.
|
||||
- [x] **3.5** Implement approval gates in workflow YAML
|
||||
- `workflow.py` now supports `approval_gate` prompts (`yes`/`no`) before step execution.
|
||||
- In `--non-interactive` mode, approval gates are skipped with warnings.
|
||||
- [x] **3.6** Add workflow dry-run mode (`--dry-run`)
|
||||
- Validates dependency graph and variable substitutions without executing
|
||||
- Reports: step metadata, dependency-based execution layers, and run output directory
|
||||
- Implemented dry-run planning output including step metadata, dependency layers, and run result directory.
|
||||
- [x] **3.7** Test: Run full material trade study workflow end-to-end
|
||||
- quick-research workflow tested E2E twice — Webster→Tech-Lead chain, 50s and 149s runs, Manager posted results to Discord
|
||||
- [x] **3.8** Create `#handoffs` channel for orchestration audit trail
|
||||
- Skipped — using workflow result directories instead of dedicated #handoffs channel
|
||||
|
||||
|
||||
**Phase 3 completion notes:**
|
||||
- `workflow.py`: 15KB Python, supports YAML parsing, dependency graphs, parallel execution (`ThreadPoolExecutor`), variable substitution, approval gates, dry-run, per-step result persistence
|
||||
- 3 workflow templates: `material-trade-study`, `quick-research`, `design-review`
|
||||
- `design-review` dry-run confirmed parallel execution detection (tech-lead + optimizer simultaneous)
|
||||
- Manager successfully ran workflow from Discord prompt, parsed JSON output, and posted synthesized results
|
||||
- Known issue fixed: Manager initially did not post results back — added explicit "Always Post Results Back" instructions to SOUL.md
|
||||
|
||||
### Phase 4: Metrics + Documentation (Day 3 — Feb 17)
|
||||
**Estimated effort: 2-3 hours**
|
||||
|
||||
- [x] **4.1** Metrics: track delegation count, success rate, avg response time per agent
|
||||
- Implemented `metrics.py` to analyze handoff JSON and workflow summaries; supports JSON/text output with per-agent latency and success stats
|
||||
- [x] **4.2** Per-workflow token usage tracking across all agents
|
||||
- Added `metrics.sh` wrapper for easy execution from orchestrate skill directory
|
||||
- [x] **4.3** Document everything in this PKM project folder
|
||||
- Added Manager `TOOLS.md` reference for metrics usage under Agent Communication
|
||||
- [x] **4.4** Create orchestration documentation README
|
||||
- Created `/home/papa/atomizer/workspaces/shared/skills/orchestrate/README.md` with architecture, usage, ACL, workflows, and storage docs
|
||||
|
||||
---
|
||||
|
||||
## Context Flow Diagram
|
||||
|
||||
```
|
||||
Antoine (CEO)
|
||||
│
|
||||
▼
|
||||
┌─────────────┐
|
||||
│ MANAGER │ ◄── Reads AGENTS_REGISTRY.json
|
||||
│ (Opus 4.6) │ ◄── Reads workflow YAML
|
||||
└──────┬──────┘ ◄── Validates results
|
||||
│
|
||||
┌─────────────┼─────────────┐
|
||||
▼ ▼ ▼
|
||||
┌────────────┐ ┌──────────┐ ┌──────────┐
|
||||
│ TECH-LEAD │ │ AUDITOR │ │OPTIMIZER │
|
||||
│ (Opus) │ │ (Opus) │ │ (Sonnet) │
|
||||
│ [can sub- │ └──────────┘ │ [can sub-│
|
||||
│ delegate] │ │ delegate]│
|
||||
└─────┬──────┘ └─────┬─────┘
|
||||
│ sub-orchestration │
|
||||
┌────┴─────┐ ┌──────┴──────┐
|
||||
▼ ▼ ▼ ▼
|
||||
┌────────┐┌────────┐ ┌───────────┐┌──────────┐
|
||||
│WEBSTER ││NX-EXPERT│ │STUDY-BLDR ││SECRETARY │
|
||||
│(Gemini)││(Sonnet) │ │ (Sonnet) ││ (Flash) │
|
||||
└───┬────┘└───┬─────┘ └─────┬─────┘└────┬─────┘
|
||||
│ │ │ │
|
||||
▼ ▼ ▼ ▼
|
||||
┌──────────────────────────────────────────────┐
|
||||
│ HANDOFF DIRECTORY │
|
||||
│ /home/papa/atomizer/handoffs/ │
|
||||
│ {runId}.json — structured results │
|
||||
│ /sub/ — sub-delegation logs (visibility) │
|
||||
└──────────────────────────────────────────────┘
|
||||
│ │ │ │
|
||||
└────┬────┘──────┬───────┘────┬───────┘
|
||||
▼ ▼ ▼
|
||||
┌────────────┐ ┌──────────┐ ┌─────────────────┐
|
||||
│ DISCORD │ │VALIDATION│ │ SHARED FILES │
|
||||
│ CHANNELS │ │ LOOPS │ │ (Atomizer repo │
|
||||
│ (context) │ │(self-chk │ │ PKM, configs) │
|
||||
└────────────┘ │+ auditor)│ └─────────────────┘
|
||||
└──────────┘
|
||||
|
||||
CONTEXT SOURCES (per delegation):
|
||||
1. Task context → Orchestrator passes explicitly
|
||||
2. Channel context → Fetched from Discord history
|
||||
3. Handoff context → Results from prior pipeline steps
|
||||
4. Knowledge context → Shared filesystem (always available)
|
||||
|
||||
VALIDATION FLOW:
|
||||
Agent output → Self-check → Orchestrator validation → [Auditor review if critical] → Accept/Retry
|
||||
|
||||
HIERARCHY:
|
||||
Manager → delegates to all agents
|
||||
Tech-Lead, Optimizer → sub-delegate to Webster, NX-Expert, Study-Builder, Secretary
|
||||
All sub-delegations logged for Manager visibility
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Comparison: Before vs After
|
||||
|
||||
| Aspect | Before (delegate.sh) | After (Orchestration Engine) |
|
||||
|--------|----------------------|------------------------------|
|
||||
| Delegation | Fire-and-forget | Synchronous with result return |
|
||||
| Result flow | None — check Discord manually | Structured JSON via handoff files |
|
||||
| Chaining | Impossible | Native — output feeds next step |
|
||||
| Parallel work | Manual — delegate multiple, hope | Workflow engine handles automatically |
|
||||
| Context passing | None | Task + channel + handoff + filesystem |
|
||||
| Routing | Hardcoded agent names | Capability-based via registry |
|
||||
| Reusability | One-off bash calls | YAML workflow templates |
|
||||
| Audit trail | Discord messages only | Handoff logs + orchestration logs |
|
||||
| Validation | None | Self-check + auditor loops on critical steps |
|
||||
| Error handling | None | Timeout, retry, partial results (Phase 1) |
|
||||
| Hierarchy | Flat (manager only) | Hierarchical (Tech-Lead/Optimizer can sub-delegate) |
|
||||
| Adding agents | Edit bash script | Add entry to registry JSON |
|
||||
|
||||
---
|
||||
|
||||
## Future Extensions (Post-MVP)
|
||||
|
||||
- **Conditional branching:** If auditor flags issues → route back to tech-lead for revision
|
||||
- **Human-in-the-loop gates:** Workflow pauses for Antoine's approval at critical steps
|
||||
- **Learning loops:** Store workflow results → agents learn from past runs
|
||||
- **Cost tracking:** Per-workflow token usage across all agents
|
||||
- **Web UI dashboard:** Visualize active workflows, agent status, handoff queue
|
||||
- **Inter-company workflows:** External client triggers → full analysis pipeline → deliverable
|
||||
|
||||
---
|
||||
|
||||
## Key Design Decisions
|
||||
|
||||
1. **File-based handoffs over HTTP callbacks** — Simpler, debuggable, works with shared filesystem we already have. HTTP callbacks are Phase 2 optimization if needed.
|
||||
|
||||
2. **Manager as primary orchestrator, with hierarchical delegation (Phase 2)** — Manager runs workflows and chains tasks. In Phase 2, senior agents (Tech-Lead, Optimizer) gain sub-orchestration rights to delegate directly to supporting agents (e.g., Tech-Lead → Webster for a data lookup mid-analysis) without routing through Manager. All sub-delegations are logged to the handoff directory so Manager retains visibility. No circular delegation — hierarchy is strict.
|
||||
|
||||
3. **YAML workflows over hardcoded scripts** — Workflows are data, not code. Antoine can define new ones. Manager can read and execute them. Future: manager could even *generate* workflows from natural language directives.
|
||||
|
||||
4. **Channel context is opt-in per step** — Not every step needs channel history. Explicit `channel_context` parameter keeps token usage efficient.
|
||||
|
||||
5. **Preserve fire-and-forget option** — `delegate.sh` stays for simple one-off tasks where you don't need the result back. `orchestrate.sh` is for pipeline work.
|
||||
|
||||
---
|
||||
|
||||
---
|
||||
|
||||
## Review Amendments (2026-02-15)
|
||||
|
||||
**Source:** Webster's review (`reviews/REVIEW-Orchestration-Engine-Webster.md`)
|
||||
|
||||
| Webster's Recommendation | Decision | Where |
|
||||
|---|---|---|
|
||||
| Hierarchical delegation | ✅ Adopted — Phase 2 | Tech-Lead + Optimizer get sub-orchestration rights |
|
||||
| Validation/critic loops | ✅ Adopted — Phase 1 | Self-check in agents + `--validate` flag + auditor validation blocks in YAML |
|
||||
| Error handling in Phase 1 | ✅ Adopted — Phase 1 | Timeouts, retries, health checks, malformed response handling |
|
||||
| Shared blackboard state | ⏳ Deferred | Not needed until workflows exceed 5+ steps. File-based handoffs sufficient for now |
|
||||
| Role-based dynamic routing | ⏳ Deferred | Only one agent per role currently. Revisit when we scale to redundant agents |
|
||||
| AutoGen group chat pattern | 📝 Noted | Interesting for brainstorming workflows. Not MVP priority |
|
||||
| LangGraph state graphs | 📝 Noted | YAML with `on_fail: goto` covers our needs without importing a paradigm |
|
||||
|
||||
**Source:** Auditor's review (`reviews/REVIEW-Orchestration-Engine-Auditor-V2.md`)
|
||||
|
||||
| Auditor's Recommendation | Decision | Where |
|
||||
|---|---|---|
|
||||
| Idempotency keys | ✅ Adopted — Phase 1 | `idempotencyKey` in handoff schema + existence check before retry |
|
||||
| Handoff schema versioning | ✅ Adopted — Phase 1 | `schemaVersion: "1.0"` + required fields validation in `orchestrate.sh` |
|
||||
| Approval gates | ✅ Adopted — Phase 3 | `approval_gate: ceo` in workflow YAML, posts to `#hq` and waits |
|
||||
| Per-run state blackboard | ⏳ Deferred | Same as Webster's — file handoffs sufficient for 3-5 step workflows |
|
||||
| Trace logging / observability | ✅ Adopted — Phase 1 | `workflowRunId`, `stepId`, `attempt`, `latencyMs` in every handoff |
|
||||
| Channel context sanitization | ✅ Adopted — Phase 2 | Token cap, instruction stripping, untrusted tagging |
|
||||
| ACL enforcement (runtime) | ✅ Adopted — Phase 2 | Hardcoded delegation matrix in `orchestrate.sh`, not just SOUL.md policy |
|
||||
| Quality score (0-1) | ⏳ Deferred | Nice-to-have for dashboards, not MVP |
|
||||
| Artifact checksums | ⏳ Deferred | Reproducibility concern — revisit for client deliverables |
|
||||
| Workflow dry-run mode | ✅ Adopted — Phase 3 | Validate dependency graph + substitutions without execution |
|
||||
|
||||
---
|
||||
|
||||
> **Next step:** Implementation begins 2026-02-15. Start with Phase 1 (orchestrate.sh + handoff directory + agent SOUL.md updates). Test with a simple Webster → Tech-Lead chain before building the full workflow engine.
|
||||
313
docs/hq/README-ANTOINE.md
Normal file
313
docs/hq/README-ANTOINE.md
Normal file
@@ -0,0 +1,313 @@
|
||||
|
||||
# 📖 README — Antoine's Implementation Guide
|
||||
|
||||
> Everything you need to do to bring Atomizer Engineering Co. to life.
|
||||
> Mario handles agent workspaces, configs, SOUL files, and Docker setup. You handle Slack creation and the stuff only a human can do.
|
||||
>
|
||||
> **Last updated:** 2026-02-08 — All decisions resolved ✅
|
||||
|
||||
---
|
||||
|
||||
## Quick Overview
|
||||
|
||||
**What we're building:** A dedicated Slack workspace where 13 AI agents operate as a specialized FEA optimization company. Each agent has its own personality, model, memory, and tools. You're the CEO.
|
||||
|
||||
**How it runs:** A separate Clawdbot gateway runs in Docker on the T420, alongside your existing Mario instance. Completely isolated — own config, own Slack workspace, own port. Mario stays untouched.
|
||||
|
||||
**Phased rollout:**
|
||||
- Phase 0 (Week 1-2): Manager + Secretary + Technical Lead — prove the pattern
|
||||
- Phase 1 (Week 3-4): + Optimizer + Study Builder + Auditor — full planning + execution
|
||||
- Phase 2 (Week 5-7): + NX Expert, Post-Processor, Reporter, KB — full pipeline
|
||||
- Phase 3 (Week 8-10): + Researcher, Developer, IT — complete company
|
||||
|
||||
---
|
||||
|
||||
## All Decisions — Resolved ✅
|
||||
|
||||
| ID | Decision | Status |
|
||||
|----|----------|--------|
|
||||
| DEC-A001 | Use Clawdbot Multi-Agent (not Agent Zero) | ✅ |
|
||||
| DEC-A002 | Phased rollout (not big bang) | ✅ |
|
||||
| DEC-A003 | Manager as communication bottleneck | ✅ |
|
||||
| DEC-A004 | Single gateway, multiple agents | ✅ |
|
||||
| DEC-A006 | Dedicated Slack workspace | ✅ |
|
||||
| DEC-A007 | Study Builder agent (separate from Optimizer) | ✅ |
|
||||
| DEC-A008 | Use latest models (Sonnet 5, Codex 5.3, Gemini 3.0) | ✅ |
|
||||
| DEC-A009 | Autonomy with approval gates | ✅ |
|
||||
| DEC-A010 | Framework Steward = Manager sub-role | ✅ |
|
||||
| DEC-A011 | Syncthing + manual `run_optimization.py` launch | ✅ |
|
||||
| DEC-A012 | Separate Clawdbot gateway in Docker | ✅ |
|
||||
| DEC-A013 | Single bot, per-agent identity (organic UX) | ✅ |
|
||||
| DEC-A014 | Semi-auto KB ingestion + inherited CAD Documenter skill | ✅ |
|
||||
|
||||
Full details in [[04-DECISION-LOG]].
|
||||
|
||||
---
|
||||
|
||||
## Phase 0: Setup Checklist
|
||||
|
||||
### What YOU do (Antoine)
|
||||
|
||||
#### Step 1: Install Docker on T420 (10 min)
|
||||
|
||||
Docker is not currently installed. We need it for the Atomizer gateway.
|
||||
|
||||
```bash
|
||||
# SSH into T420 or run locally
|
||||
sudo apt update
|
||||
sudo apt install docker.io docker-compose-v2 -y
|
||||
sudo usermod -aG docker papa
|
||||
# Log out and back in (or reboot) for group to take effect
|
||||
```
|
||||
|
||||
Verify:
|
||||
```bash
|
||||
docker --version
|
||||
docker compose version
|
||||
```
|
||||
|
||||
> 💡 If you'd rather I walk you through this step-by-step, just say the word.
|
||||
|
||||
#### Step 2: Create the Slack Workspace (30 min)
|
||||
|
||||
1. Go to **https://slack.com/create**
|
||||
2. Create workspace:
|
||||
- **Name:** `Atomizer-HQ (or your preferred name)
|
||||
- **URL:** Something clean like `atomizer-eng.slack.com`
|
||||
3. You're the workspace owner
|
||||
|
||||
#### Step 3: Create the Slack App (20 min)
|
||||
|
||||
1. Go to **https://api.slack.com/apps**
|
||||
2. Click **Create New App** → **From a manifest**
|
||||
3. Select your **Atomizer Engineering** workspace
|
||||
4. Paste this manifest (JSON tab):
|
||||
|
||||
```json
|
||||
{
|
||||
"display_information": {
|
||||
"name": "Atomizer",
|
||||
"description": "Atomizer Engineering Co. — AI Agent System"
|
||||
},
|
||||
"features": {
|
||||
"bot_user": {
|
||||
"display_name": "Atomizer",
|
||||
"always_online": true
|
||||
},
|
||||
"app_home": {
|
||||
"messages_tab_enabled": true,
|
||||
"messages_tab_read_only_enabled": false
|
||||
}
|
||||
},
|
||||
"oauth_config": {
|
||||
"scopes": {
|
||||
"bot": [
|
||||
"chat:write",
|
||||
"chat:write.customize",
|
||||
"channels:history",
|
||||
"channels:read",
|
||||
"channels:manage",
|
||||
"groups:history",
|
||||
"groups:read",
|
||||
"groups:write",
|
||||
"im:history",
|
||||
"im:read",
|
||||
"im:write",
|
||||
"mpim:history",
|
||||
"mpim:read",
|
||||
"mpim:write",
|
||||
"users:read",
|
||||
"app_mentions:read",
|
||||
"reactions:read",
|
||||
"reactions:write",
|
||||
"pins:read",
|
||||
"pins:write",
|
||||
"emoji:read",
|
||||
"commands",
|
||||
"files:read",
|
||||
"files:write"
|
||||
]
|
||||
}
|
||||
},
|
||||
"settings": {
|
||||
"socket_mode_enabled": true,
|
||||
"event_subscriptions": {
|
||||
"bot_events": [
|
||||
"app_mention",
|
||||
"message.channels",
|
||||
"message.groups",
|
||||
"message.im",
|
||||
"message.mpim",
|
||||
"reaction_added",
|
||||
"reaction_removed",
|
||||
"member_joined_channel",
|
||||
"member_left_channel",
|
||||
"channel_rename",
|
||||
"pin_added",
|
||||
"pin_removed"
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
> ⚠️ Note the `chat:write.customize` scope — this is what allows the bot to post with different display names per agent (🎯 Manager, 📋 Secretary, etc.). This is how we get organic multi-agent identity from a single bot.
|
||||
|
||||
5. Click **Create**
|
||||
6. Go to **Socket Mode** → toggle **ON**
|
||||
7. Go to **Basic Information** → **App-Level Tokens** → **Generate Token and Scopes**:
|
||||
- Name: `clawdbot-socket`
|
||||
- Scope: `connections:write`
|
||||
- Click **Generate**
|
||||
- **Copy the `xapp-...` token** ← save this
|
||||
8. Go to **OAuth & Permissions** → **Install to Workspace** → **Allow**
|
||||
- **Copy the `xoxb-...` Bot Token** ← save this
|
||||
|
||||
#### Step 4: Create Initial Channels (5 min)
|
||||
|
||||
In the Atomizer Engineering workspace:
|
||||
|
||||
| Channel | Purpose |
|
||||
|---------|---------|
|
||||
| `#hq` | Company coordination — Manager's home |
|
||||
| `#secretary` | Your private dashboard |
|
||||
|
||||
Invite the bot to both: `/invite @Atomizer`
|
||||
|
||||
#### Step 5: Give Me the Tokens (2 min)
|
||||
|
||||
Send me in our **private DM** (not here):
|
||||
- **App Token** (`xapp-...`)
|
||||
- **Bot Token** (`xoxb-...`)
|
||||
- **Channel IDs** for `#hq` and `#secretary`
|
||||
|
||||
To find channel IDs: right-click channel name → "View channel details" → scroll to bottom → copy the ID (starts with `C`).
|
||||
|
||||
> 🔒 Tokens go into Docker environment variables — never stored in plain text files.
|
||||
|
||||
---
|
||||
|
||||
### What MARIO does (you don't need to do any of this)
|
||||
|
||||
#### Infrastructure
|
||||
- [ ] Set up `/opt/atomizer/` directory structure
|
||||
- [ ] Write `docker-compose.yml` for Atomizer gateway
|
||||
- [ ] Configure `.env` with API keys + Slack tokens
|
||||
- [ ] Set up Syncthing folder for job queue
|
||||
|
||||
#### Agent Workspaces (Phase 0: 3 agents)
|
||||
- [ ] Create Manager workspace + SOUL.md + AGENTS.md + MEMORY.md
|
||||
- [ ] Create Secretary workspace + SOUL.md + AGENTS.md + MEMORY.md
|
||||
- [ ] Create Technical Lead workspace + SOUL.md + AGENTS.md + MEMORY.md
|
||||
- [ ] Write IDENTITY.md for each (name, emoji, personality)
|
||||
|
||||
#### Shared Skills
|
||||
- [ ] Create `atomizer-protocols` skill from existing protocol docs
|
||||
- [ ] Create `atomizer-company` skill (identity, values, agent directory)
|
||||
|
||||
#### Configuration
|
||||
- [ ] Write `clawdbot.json` multi-agent config
|
||||
- [ ] Set up Slack channel bindings (channel IDs → agents)
|
||||
- [ ] Configure per-agent models
|
||||
|
||||
#### Testing
|
||||
- [ ] Boot Docker container, verify gateway starts
|
||||
- [ ] Test: message in `#hq` → Manager responds
|
||||
- [ ] Test: message in `#secretary` → Secretary responds
|
||||
- [ ] Test: Manager delegates to Technical Lead
|
||||
- [ ] Test: agent identity shows correctly (name + emoji per message)
|
||||
- [ ] Run a real engineering problem through 3 agents
|
||||
|
||||
---
|
||||
|
||||
## Architecture at a Glance
|
||||
|
||||
```
|
||||
┌────────────────────── T420 ──────────────────────┐
|
||||
│ │
|
||||
│ Mario's Clawdbot Atomizer (Docker) │
|
||||
│ (systemd, port 18789) (Docker, port 18790) │
|
||||
│ Personal Slack ←→ you Atomizer Slack ←→ you │
|
||||
│ Your assistant Your FEA company │
|
||||
│ │
|
||||
│ Shared (read-only by Atomizer): │
|
||||
│ • /home/papa/repos/Atomizer/ │
|
||||
│ • /home/papa/obsidian-vault/ │
|
||||
│ │
|
||||
│ Atomizer-only: │
|
||||
│ • /opt/atomizer/workspaces/ (agent files) │
|
||||
│ • /opt/atomizer/job-queue/ (↔ Windows) │
|
||||
└───────────────────────────────────────────────────┘
|
||||
│
|
||||
Syncthing
|
||||
│
|
||||
┌─────────────── Windows (dalidou) ─────────────────┐
|
||||
│ NX/Simcenter + Atomizer repo + job-queue │
|
||||
│ You run: python run_optimization.py │
|
||||
└───────────────────────────────────────────────────┘
|
||||
│
|
||||
┌─────────────── Slack (Atomizer Eng.) ─────────────┐
|
||||
│ #hq #secretary #<client>-<project> #rd-<topic>│
|
||||
│ 13 agents, each with own name + emoji │
|
||||
│ Single bot, organic multi-identity UX │
|
||||
└───────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## The 13 Agents
|
||||
|
||||
| # | Agent | Emoji | Model | Phase | Role |
|
||||
|---|-------|-------|-------|-------|------|
|
||||
| 1 | Manager | 🎯 | Opus 4.6 | 0 | Orchestrates, delegates, enforces protocols |
|
||||
| 2 | Secretary | 📋 | Opus 4.6 | 0 | Your interface — filters, summarizes, escalates |
|
||||
| 3 | Technical Lead | 🔧 | Opus 4.6 | 0 | Breaks down problems, leads R&D |
|
||||
| 4 | Optimizer | ⚡ | Opus 4.6 | 1 | Algorithm selection, strategy design |
|
||||
| 5 | Study Builder | 🏗️ | GPT-5.3-Codex | 1 | Writes run_optimization.py |
|
||||
| 6 | Auditor | 🔍 | Opus 4.6 | 1 | Validates physics, challenges assumptions |
|
||||
| 7 | NX Expert | 🖥️ | Sonnet 5 | 2 | NX Nastran/NX Open deep knowledge |
|
||||
| 8 | Post-Processor | 📊 | Sonnet 5 | 2 | Data analysis, graphs, result validation |
|
||||
| 9 | Reporter | 📝 | Sonnet 5 | 2 | Professional Atomaste-branded PDF reports |
|
||||
| 10 | Knowledge Base | 🗄️ | Sonnet 5 | 2 | CAD docs, FEM knowledge, component library |
|
||||
| 11 | Researcher | 🔬 | Gemini 3.0 | 3 | Literature search, state-of-the-art |
|
||||
| 12 | Developer | 💻 | Sonnet 5 | 3 | Codes new tools, extends framework |
|
||||
| 13 | IT Support | 🛠️ | Sonnet 5 | 3 | Licenses, server health, infrastructure |
|
||||
|
||||
---
|
||||
|
||||
## How You'll Interact
|
||||
|
||||
**Start a project:** Create `#starspec-wfe-opt` → post requirements → Manager takes over
|
||||
|
||||
**Give directives:** Post in `#hq` (company-wide) or any project channel
|
||||
|
||||
**R&D:** Create `#rd-vibration` → Technical Lead drives exploration with you
|
||||
|
||||
**Approve deliverables:** Secretary escalates → you review → say "approved" or give feedback
|
||||
|
||||
**@ any agent directly:** Organic, natural — like messaging a coworker
|
||||
|
||||
---
|
||||
|
||||
## Cost Estimates
|
||||
|
||||
| Phase | Monthly API Cost |
|
||||
|-------|-----------------|
|
||||
| Phase 0 (3 agents) | ~$50 |
|
||||
| Phase 1 (6 agents) | ~$100-150 |
|
||||
| Phase 2 (10 agents) | ~$200-250 |
|
||||
| Phase 3 (13 agents) | ~$300-400 |
|
||||
| Per client job | ~$25-40 |
|
||||
|
||||
---
|
||||
|
||||
## Ready?
|
||||
|
||||
Your checklist is 5 steps. Total time: ~1-1.5 hours.
|
||||
Once you give me the tokens and channel IDs, I build the rest.
|
||||
|
||||
Let's build this. 🏭
|
||||
|
||||
---
|
||||
|
||||
*Prepared by Mario — 2026-02-08*
|
||||
118
docs/hq/reviews/REVIEW-Orchestration-Engine-Auditor-V2.md
Normal file
118
docs/hq/reviews/REVIEW-Orchestration-Engine-Auditor-V2.md
Normal file
@@ -0,0 +1,118 @@
|
||||
# Review: Orchestration Engine (Plan 10) — V2
|
||||
|
||||
> **Reviewer:** Auditor 🔍
|
||||
> **Date:** 2026-02-14
|
||||
> **Status:** **CONDITIONAL PASS** (implement required controls before production-critical use)
|
||||
> **Subject:** `10-ORCHESTRATION-ENGINE-PLAN.md`
|
||||
|
||||
---
|
||||
|
||||
## Executive Verdict
|
||||
|
||||
Mario’s architecture is directionally correct and much stronger than fire-and-forget delegation. The three-layer model (Core → Routing → Workflows), structured handoffs, and explicit validation loops are all solid decisions.
|
||||
|
||||
However, for production reliability and auditability, this must ship with stricter **state integrity**, **idempotency**, **schema governance**, and **human approval gates** for high-impact actions.
|
||||
|
||||
**Bottom line:** Proceed, but only with the must-fix items below integrated into Phase 1–2.
|
||||
|
||||
---
|
||||
|
||||
## Findings
|
||||
|
||||
### 🔴 Critical (must fix)
|
||||
|
||||
1. **No explicit idempotency contract for retries/timeouts**
|
||||
- Current plan retries on timeout/malformed outputs, but does not define how to prevent duplicate side effects (double posts, repeated downstream actions).
|
||||
- **Risk:** inconsistent workflow outcomes, duplicate client-facing messages, non-reproducible state.
|
||||
- **Required fix:** Add `idempotency_key` per step attempt and enforce dedupe on handoff consumption + delivery.
|
||||
|
||||
2. **Handoff schema is underspecified for machine validation**
|
||||
- Fields shown are helpful, but no versioned JSON Schema or strict required/optional policy exists.
|
||||
- **Risk:** malformed yet “accepted” outputs, brittle parsing, silent failure propagation.
|
||||
- **Required fix:** versioned schema (`schemaVersion`), strict required fields, validator in `orchestrate.sh` + CI check for schema compatibility.
|
||||
|
||||
3. **No hard gate for high-stakes workflow steps**
|
||||
- Auditor checks are present, but there is no formal “approval required” interrupt before irreversible actions.
|
||||
- **Risk:** automated progression with incorrect assumptions.
|
||||
- **Required fix:** add `approval_gate: true` for designated steps (e.g., external deliverables, strategic recommendations).
|
||||
|
||||
---
|
||||
|
||||
### 🟡 Major (should fix)
|
||||
|
||||
1. **State model is split across ad hoc files**
|
||||
- File-based handoff is fine for MVP, but without a canonical workflow state object, long chains get fragile.
|
||||
- **Recommendation:** add a per-run `state.json` blackboard (append-only event log + resolved materialized state).
|
||||
|
||||
2. **Observability is not yet sufficient for root-cause analysis**
|
||||
- Metrics are planned later; debugging multi-agent failures without end-to-end trace IDs will be painful.
|
||||
- **Recommendation:** start now with `workflowRunId`, `stepId`, `attempt`, `agent`, `latencyMs`, `token/cost estimate`, and terminal status.
|
||||
|
||||
3. **Channel-context ingestion lacks trust/sanitization policy**
|
||||
- Discord history can include noisy or unsafe content.
|
||||
- **Recommendation:** context sanitizer + source tagging + max token window + instruction stripping from untrusted text blocks.
|
||||
|
||||
4. **Hierarchical delegation loop prevention is policy-level only**
|
||||
- Good design intent, but no enforcement mechanism described.
|
||||
- **Recommendation:** enforce delegation ACL matrix in orchestrator runtime (not only SOUL instructions).
|
||||
|
||||
---
|
||||
|
||||
### 🟢 Minor (nice to fix)
|
||||
|
||||
1. Add `result_quality_score` (0–1) from validator for triage and dashboards.
|
||||
2. Add `artifacts_checksum` to handoff metadata for reproducibility.
|
||||
3. Add workflow dry-run mode to validate dependency graph and substitutions without execution.
|
||||
|
||||
---
|
||||
|
||||
## External Pattern Cross-Check (complementary ideas)
|
||||
|
||||
Based on architecture patterns in common orchestration ecosystems (LangGraph, AutoGen, CrewAI, Temporal, Prefect, Step Functions):
|
||||
|
||||
1. **Durable execution + resumability** (LangGraph/Temporal style)
|
||||
- Keep execution history and allow resume from last successful step.
|
||||
|
||||
2. **Guardrails with bounded retries** (CrewAI/Prefect style)
|
||||
- You already started this; formalize per-step retry policy and failure classes.
|
||||
|
||||
3. **State-machine semantics** (Step Functions style)
|
||||
- Model each step state explicitly: `pending → running → validated → committed | failed`.
|
||||
|
||||
4. **Human-in-the-loop interrupts**
|
||||
- Introduce pause/approve/reject transitions for critical branches.
|
||||
|
||||
5. **Exactly-once consumption where possible**
|
||||
- At minimum, “at-least-once execution + idempotent effects” should be guaranteed.
|
||||
|
||||
---
|
||||
|
||||
## Recommended Minimal Patch Set (before scaling)
|
||||
|
||||
1. **Schema + idempotency first**
|
||||
- `handoff.schema.json` + `idempotency_key` required fields.
|
||||
|
||||
2. **Canonical state file per workflow run**
|
||||
- `handoffs/workflows/<runId>/state.json` as single source of truth.
|
||||
|
||||
3. **Enforced ACL delegation matrix**
|
||||
- Runtime check: who can delegate to whom, hard-block loops.
|
||||
|
||||
4. **Approval gates for critical outputs**
|
||||
- YAML: `requires_approval: manager|ceo`.
|
||||
|
||||
5. **Trace-first logging**
|
||||
- Correlated logs for every attempt and transition.
|
||||
|
||||
---
|
||||
|
||||
## Final Recommendation
|
||||
|
||||
**CONDITIONAL PASS**
|
||||
Implementation can proceed immediately, but production-critical use should wait until the 5-item minimal patch set is in place. The current plan is strong; these controls are what make it reliable under stress.
|
||||
|
||||
---
|
||||
|
||||
## Suggested Filename Convention
|
||||
|
||||
`REVIEW-Orchestration-Engine-Auditor-V2.md`
|
||||
104
docs/hq/reviews/REVIEW-Orchestration-Engine-Webster.md
Normal file
104
docs/hq/reviews/REVIEW-Orchestration-Engine-Webster.md
Normal file
@@ -0,0 +1,104 @@
|
||||
# Review: Orchestration Engine (Plan 10)
|
||||
|
||||
> **Reviewer:** Webster (Research Specialist)
|
||||
> **Date:** 2026-02-14
|
||||
> **Status:** Endorsed with Enhancements
|
||||
> **Subject:** Critique of `10-ORCHESTRATION-ENGINE-PLAN` (Mario Lavoie)
|
||||
|
||||
---
|
||||
|
||||
## Executive Summary
|
||||
|
||||
Mario's proposed "Orchestration Engine: Multi-Instance Intelligence" is a **strong foundational architecture**. It correctly identifies the critical missing piece in our current cluster setup: **synchronous delegation with a structured feedback loop**. Moving from "fire-and-forget" (`delegate.sh`) to a structured "chain-of-command" (`orchestrate.sh`) is the correct evolutionary step for the Atomizer cluster.
|
||||
|
||||
The 3-layer architecture (Core → Routing → Workflows) is scalable and robust. The use of file-based handoffs and YAML workflows aligns perfectly with our local-first philosophy.
|
||||
|
||||
However, to elevate this from a "good" system to a "world-class" agentic framework, I strongly recommend implementing **Hierarchical Delegation**, **Validation Loops**, and **Shared State Management** immediately, rather than deferring them to Phase 4 or later.
|
||||
|
||||
---
|
||||
|
||||
## Critical Analysis
|
||||
|
||||
### 1. The "Manager Bottleneck" Risk (High)
|
||||
**Critique:** The plan centralizes *all* orchestration in the Manager ("Manager as sole orchestrator").
|
||||
**Risk:** This creates a single point of failure and a significant bottleneck. If the Manager is waiting on a long-running research task from Webster, it cannot effectively coordinate other urgent streams (e.g., a Tech-Lead design review). It also risks context overload for the Manager on complex, multi-agent projects.
|
||||
**Recommendation:** Implement **Hierarchical Delegation**.
|
||||
- Allow high-level agents (like `Tech-Lead`) to have "sub-orchestration" permissions.
|
||||
- **Example:** If `Tech-Lead` needs a specific material density check from `Webster` to complete a larger analysis, they should be able to delegate that sub-task directly via `orchestrate.sh` without routing back through the Manager. This mimics a real engineering team structure.
|
||||
|
||||
### 2. Lack of "Reflection" or "Critic" Loops (Critical)
|
||||
**Critique:** The proposed workflows are strictly linear (Step A → Step B → Step C).
|
||||
**Risk:** "Garbage in, garbage out." If a research step returns hallucinated or irrelevant data, the subsequent technical analysis step will proceed to process it, wasting tokens and time.
|
||||
**Recommendation:** Add explicit **Validation Steps**.
|
||||
- Introduce a `critique` phase or a lightweight "Auditor" pass *inside* the workflow definition before moving to the next major stage.
|
||||
- **Pattern:** Execute Task → Critique Output → (Refine/Retry if score < Threshold) → Proceed.
|
||||
|
||||
### 3. State Management & Context Passing (Medium)
|
||||
**Critique:** Context is passed explicitly between steps via file paths (`--context /tmp/file.json`).
|
||||
**Risk:** Managing file paths becomes cumbersome in complex, multi-step workflows (e.g., 10+ steps). It limits the ability for a late-stage agent to easily reference early-stage context without explicit passing.
|
||||
**Recommendation:** Implement a **Shared "Blackboard" (Workflow State Object)**.
|
||||
- Create a shared JSON object for the entire workflow run.
|
||||
- Agents read/write keys to this shared state (e.g., `state['material_costs']`, `state['fea_results']`).
|
||||
- This decouples step execution from data passing.
|
||||
|
||||
### 4. Dynamic "Team Construction" (Medium)
|
||||
**Critique:** Workflow steps hardcode specific agents (e.g., `agent: webster`).
|
||||
**Recommendation:** Use **Role-Based Execution**.
|
||||
- Define steps by *role* or *capability* (e.g., `role: researcher`, `capability: web-research`) rather than specific agent IDs.
|
||||
- The **Smart Router** (Layer 2) can then dynamically select the best available agent at runtime. This allows for load balancing and redundancy (e.g., routing to a backup researcher if Webster is overloaded).
|
||||
|
||||
### 5. Error Handling & "Healing" (Medium)
|
||||
**Critique:** Error handling is mentioned as a Phase 4 task.
|
||||
**Recommendation:** **Make it a Phase 1 priority.**
|
||||
- LLMs and external tools (web search) are non-deterministic and prone to occasional failure.
|
||||
- Add `max_retries` and `fallback_strategy` fields to the YAML definition immediately.
|
||||
|
||||
---
|
||||
|
||||
## Proposed Enhancement: "Patched" Workflow Schema
|
||||
|
||||
Here is a proposed revision to the YAML workflow definition that incorporates these recommendations:
|
||||
|
||||
```yaml
|
||||
# /home/papa/atomizer/workspaces/shared/workflows/material-trade-study-v2.yaml
|
||||
name: Material Trade Study (Enhanced)
|
||||
description: Research, evaluate, and audit material options with validation loops.
|
||||
|
||||
# Shared Blackboard for the workflow run
|
||||
state:
|
||||
materials_list: []
|
||||
research_data: {}
|
||||
assessment: {}
|
||||
|
||||
steps:
|
||||
- id: research
|
||||
role: researcher # Dynamic: Router picks 'webster' (or backup)
|
||||
task: "Research CTE and cost for: {inputs.materials}"
|
||||
output_key: research_data # Writes to state['research_data']
|
||||
validation: # The "Critic" Loop
|
||||
agent: auditor
|
||||
criteria: "Are all material properties (CTE, density, cost) present and sourced?"
|
||||
on_fail: retry # Retry this step if validation fails
|
||||
max_retries: 2
|
||||
|
||||
- id: evaluate
|
||||
role: technical-lead
|
||||
task: "Evaluate materials based on {state.research_data}"
|
||||
output_key: assessment
|
||||
timeout: 300
|
||||
on_timeout: # Error Handling
|
||||
fallback_role: manager
|
||||
alert: "#hq"
|
||||
|
||||
# ... (rest of workflow)
|
||||
```
|
||||
|
||||
## Complementary Industry Patterns
|
||||
*(Based on review of AutoGen, LangGraph, and CrewAI architectures)*
|
||||
|
||||
1. **Group Chat Pattern (AutoGen):** For brainstorming or open-ended problem solving, consider a "Group Chat" workflow where agents (Manager, Webster, Tech-Lead) share a context window and take turns speaking until a consensus is reached, rather than a fixed linear chain.
|
||||
2. **State Graph (LangGraph):** Model workflows as a graph where nodes are agents and edges are conditional jumps (e.g., `If Research is Ambiguous -> Go back to Research Step`). This allows for non-linear, adaptive workflows.
|
||||
|
||||
---
|
||||
|
||||
**Verdict:** Proceed with implementation, but prioritize the **Validation Loop** and **Error Handling** logic in Phase 1 to ensure reliability.
|
||||
167
docs/hq/reviews/Review 2.md
Normal file
167
docs/hq/reviews/Review 2.md
Normal file
@@ -0,0 +1,167 @@
|
||||
---
|
||||
tags:
|
||||
- Agentic
|
||||
- Project/Atomizer
|
||||
up:
|
||||
date: 2026-02-14
|
||||
description:
|
||||
summary: ""
|
||||
status:
|
||||
- ongoing
|
||||
---
|
||||
|
||||
###### Gemini said
|
||||
|
||||
This is a fascinating architectural evolution. You’ve successfully pivoted from a monolithic "simulated" multi-agent system (Slack Bridge) to a **distributed micro-service architecture** (The "Cluster" on Discord).
|
||||
|
||||
This "Cluster" approach (8 independent systemd services on one machine) is the correct long-term play for stability and native features, but it introduces **fragmentation** that you haven't fully solved yet.
|
||||
|
||||
Here is my challenge to your current implementation, followed by concrete technical proposals to fix the "Missing Glue."
|
||||
|
||||
---
|
||||
|
||||
### 🚨 Critical Challenge: The "Fake Delegation" Problem
|
||||
|
||||
**The Issue:** In `08-SYSTEM-IMPLEMENTATION-STATUS.md`, you admit:
|
||||
|
||||
> _"Manager's `[DELEGATE:...]` syntax is fake... It's just text output. Fix needed: Replace with actual exec + curl to hooks API."_
|
||||
|
||||
Right now, you have 8 geniuses sitting in 8 separate rooms (ports), but the Manager is shouting instructions at a wall. If the Manager says `[DELEGATE: nx-expert "mesh this"]`, nothing happens because OpenClaw doesn't know what that syntax means.
|
||||
|
||||
**The Fix: The `delegate_task` Skill** You need to build a custom tool (skill) for the Manager (and Tech Lead) that wraps the `curl` command to the Hooks API.
|
||||
|
||||
**Proposed Implementation:** Create a skill `skills/orchestration/index.ts` (or Python equivalent) available to the Manager:
|
||||
|
||||
TypeScript
|
||||
|
||||
```
|
||||
// Map agent names to their local ports (from your Doc 08)
|
||||
const PORT_MAP = {
|
||||
"technical": 18804,
|
||||
"secretary": 18808,
|
||||
"auditor": 18812,
|
||||
"optimizer": 18816,
|
||||
"study-builder": 18820,
|
||||
"nx-expert": 18824,
|
||||
"webster": 18828
|
||||
};
|
||||
|
||||
async function delegateTask(targetAgent: string, instruction: string, channelId: string) {
|
||||
const port = PORT_MAP[targetAgent];
|
||||
if (!port) throw new Error("Unknown agent");
|
||||
|
||||
// Call the OpenClaw Hooks API of the target agent
|
||||
// This makes the target agent "hear" the instruction
|
||||
const response = await fetch(`http://localhost:${port}/hooks/message`, {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify({
|
||||
message: `🚨 **ASSIGNMENT FROM MANAGER:**\n${instruction}`,
|
||||
channel_id: channelId, // Respond in the same Discord thread/channel
|
||||
user: "Manager_Agent" // Identify sender so they know context
|
||||
})
|
||||
});
|
||||
|
||||
return `Signal sent to ${targetAgent} on port ${port}. Monitor channel for response.`;
|
||||
}
|
||||
```
|
||||
|
||||
**Why this changes everything:**
|
||||
|
||||
1. The Manager actually _triggers_ the other process.
|
||||
|
||||
2. The target agent wakes up, sees the message in the correct Discord channel (via `channel_id`), and processes it.
|
||||
|
||||
3. The response appears natively in Discord.
|
||||
|
||||
|
||||
---
|
||||
|
||||
### 🧠 Architectural Analysis: The T420 Bottleneck
|
||||
|
||||
**The Constraint:** You are running this on a **Lenovo T420**.
|
||||
|
||||
- **RAM:** You estimated 4.2GB for 8 idle instances.
|
||||
|
||||
- **CPU:** When 2-3 agents are active (e.g., Manager delegating to Tech Lead + Auditor), that dual-core i5 is going to scream. Node.js processes + Syncthing + potential Python execution will create latency.
|
||||
|
||||
|
||||
**Risk:** If OpenClaw keeps the full context window loaded in memory for all 8 agents, you will OOM (Out of Memory) swap to disk, killing performance.
|
||||
|
||||
**Proposed Improvements:**
|
||||
|
||||
1. **Aggressive Context Pruning:** In your `clawdbot.json` (or equivalent OpenClaw config per instance), ensure `context_limit` is strict. The "Secretary" (Haiku) doesn't need 200k tokens.
|
||||
|
||||
2. **Lazy Loading:** Ensure agents that are rarely used (like "Auditor") don't keep heavy skills/models loaded until summoned.
|
||||
|
||||
3. **Process Niceness:** In your `cluster.sh`, start non-critical agents (Webster, Secretary) with a lower process priority (`nice -n 10`) so the Manager and Tech Lead always get CPU preference.
|
||||
|
||||
|
||||
---
|
||||
|
||||
### ⚡ The Windows Bridge (Speed vs. Reliability)
|
||||
|
||||
**The Issue:** You are relying on **Syncthing** for the Job Queue (Doc 05/08).
|
||||
|
||||
- _Pros:_ Bulletproof. If network drops, it syncs later.
|
||||
|
||||
- _Cons:_ **Latency.** 5-30 seconds delay. In a chat interface, 30 seconds of "thinking" feels like broken software.
|
||||
|
||||
|
||||
**The Upgrade: Hybrid Triggering** Keep Syncthing for the heavy files (NX part files, results databases), but use **HTTP for the Trigger**.
|
||||
|
||||
1. **On Windows:** Run a tiny FastAPI server (listening on Tailscale IP).
|
||||
|
||||
2. **On T420 (Study Builder Agent):** When `run_optimization.py` is ready:
|
||||
|
||||
- Write files to Syncthing folder.
|
||||
|
||||
- _Wait 5 seconds._
|
||||
|
||||
- Send HTTP POST to Windows: `http://[Windows-Tailscale-IP]:8000/trigger-run`.
|
||||
|
||||
3. **On Windows:** The server receives the POST, checks if files match, and executes the script.
|
||||
|
||||
|
||||
This cuts the "polling" loop out of the equation. The Windows machine reacts the moment the agent commands it.
|
||||
|
||||
---
|
||||
|
||||
### 📂 Shared State & Concurrency
|
||||
|
||||
**The Issue:** You moved away from the centralized bridge, which is good, but now you have distributed state. If the "Manager" writes to `PROJECT_STATUS.md` at the same time the "Secretary" tries to read it, you might get partial reads or file locks.
|
||||
|
||||
**Recommendation: The "Bulletin Board" Protocol** Since you are using a file system as a database (`/opt/atomizer/workspaces/shared_context/`), implement a strict protocol in the `atomizer-protocols` skill:
|
||||
|
||||
1. **Append-Only Logs:** For status updates, agents should append to `project_log.md` rather than overwriting a status file.
|
||||
|
||||
2. **The "Talking Stick":** Only the **Secretary** should have permission to _rewrite/summarize_ the `PROJECT_STATUS.md` based on the logs. Other agents just add logs.
|
||||
|
||||
- _Agent:_ "I finished task X" -> Appends to Log.
|
||||
|
||||
- _Secretary (Periodic):_ Reads Log -> Updates Status Board.
|
||||
|
||||
|
||||
---
|
||||
|
||||
### 📝 Immediate To-Do List (Next 24 Hours)
|
||||
|
||||
Based on your docs, here is the exact path to move from "deployed" to "functional":
|
||||
|
||||
1. **Implement the `delegate_task` tool:** Give the Manager the ability to `curl` the other ports. Without this, you have no company, just 8 freelancers ignoring each other.
|
||||
|
||||
2. **Fix the Discord permissions:** Ensure your `cluster.sh` sets the environment variables correctly so `18800` (Manager) behaves like a Manager and `18808` (Secretary) behaves like a Secretary.
|
||||
|
||||
3. **Define the "Handshake":** Update `atomizer-protocols` to explicitly tell agents: _"When you receive a message via hooks, treat it as a high-priority direct command."_
|
||||
|
||||
4. **Smoke Test Orchestration:**
|
||||
|
||||
- User (Discord): "Manager, ask Webster to find the latest density of Ti-6Al-4V."
|
||||
|
||||
- Manager (Internal): Calls `delegate_task("webster", "Find density of Ti-6Al-4V")`.
|
||||
|
||||
- Webster (Discord): Replies in the thread with the data.
|
||||
|
||||
|
||||
This setup is impressive, Mario. You've effectively built a Kubernetes-style cluster using systemd and a laptop. Just add the networking glue (hooks), and it's alive.
|
||||
|
||||
Reference in New Issue
Block a user