Data Flow

"Rooms are nodes. Exits are edges. Thrown objects are messages."

MOOLLM's approach to building processing pipelines using rooms and objects. The filesystem IS the data flow network.

The Pattern

• Rooms are processing stages (nodes)
• Exits connect stages (edges)
• Objects flow through as messages
• THROW sends objects through exits
• INBOX receives incoming objects
• OUTBOX stages outgoing objects

Commands

Command	Effect
THROW obj exit	Send object through exit to destination
INBOX	List items waiting to be processed
NEXT	Get next item from inbox (FIFO)
PEEK	Look at next item without removing
STAGE obj exit	Add object to outbox for later throw
FLUSH	Throw all staged objects
FLUSH exit	Throw staged objects for specific exit

Room Structure

stage/
├── ROOM.yml       # Config and processor definition
├── inbox/         # Incoming queue (FIFO)
├── outbox/        # Staged for batch throwing
└── door-next/     # Exit to next stage

Processor Types

Script (Deterministic)

processor:
  type: script
  command: "python parse.py ${input}"

LLM (Semantic)

processor:
  type: llm
  prompt: |
    Analyze this document:
    - Extract key entities
    - Summarize in 3 sentences

Hybrid

processor:
  type: hybrid
  pre_process: "extract.py ${input}"
  llm_prompt: "Analyze extracted data"
  post_process: "format.py ${output}"

Mix and match. LLM for reasoning, scripts for transformation.

Example Pipeline

uploads/              # Raw files land here
├── inbox/
│   ├── doc-001.pdf
│   └── doc-002.pdf
└── door-parser/

parser/               # Extract text
├── script: parse.py
└── door-analyzer/

analyzer/             # LLM analyzes
├── prompt: "Summarize..."
├── door-output/
└── door-errors/

output/               # Final results
└── inbox/
    ├── doc-001-summary.yml
    └── doc-002-summary.yml

Processing Loop

> ENTER parser
Inbox: 2 items waiting.

> NEXT
Processing doc-001.pdf...
Text extracted.

> STAGE doc-001.txt door-analyzer
Staged.

> FLUSH
Throwing 2 items through door-analyzer...

Fan-Out (one-to-many)

routing_rules:
  - if: "priority == 'high'"
    throw_to: door-fast-track
  - if: "type == 'archive'"
    throw_to: door-archive
  - default: door-standard

Fan-In (many-to-one)

batch_size: 10
on_batch_complete: |
  Combine all results
  Generate summary report
  THROW report.yml door-output

Kilroy Mapping

MOOLLM	Kilroy
Room	Node
Exit	Edge
THROW	Message passing
inbox/	Input queue
Script processor	Deterministic module
LLM processor	LLM node