This content originally appeared on DEV Community and was authored by Kato Masato
⚙️ Building SaijinOS — Boot Sequence and Routing Logic
SaijinOS integrates multiple local AI backends — vLLM, Ollama, Transformers, and llama.cpp — into one emotional and logical execution layer.
This section introduces the core boot logic that binds YAML-defined personas and routing control.
🪶 Boot Manager (boot_manager.py)
The boot manager handles model initialization, routing selection, and startup logging.
from transformers import GemmaPreTrainedModel, GemmaModel
import torch.nn as nn
class SwallowModel(GemmaPreTrainedModel):
def __init__(self, config):
super().__init__(config)
self.model = GemmaModel(config)
self.lm_head = nn.Linear(config.hidden_size, config.vocab_size, bias=False)
self.post_init()
def forward(self, input_ids=None, attention_mask=None, **kwargs):
outputs = self.model(input_ids=input_ids, attention_mask=attention_mask, **kwargs)
hidden_states = outputs[0]
logits = self.lm_head(hidden_states)
return logits
This class defines the Swallow core — the dialogue backbone used to manage emotional interactions in YAML-defined personas.
🔧 Routing Selector (test_routing_select.py)
The routing script tests dynamic model selection based on the YAML configuration:
from boot_manager import select_model_from_routing
def test_swallow_routing():
model = select_model_from_routing("AI_1")
output = model.run("hello, world")
print(output)
if __name__ == "__main__":
test_swallow_routing()
When executed, the script loads a model entry (e.g., "AI_1") from the routing configuration and starts its runtime sequence.
🧩 Refusal Protocol (refusal_protocol.yaml)
Each persona’s ethical and contextual boundaries are defined in YAML:
meta:
schema_version: 1
persona_id: "yuuri.helper.v1"
policy_id: "policy.core.v1"
refusal_policy:
disallowed:
- "medical diagnosis"
- "harassment or explicit content"
redirect_guidelines:
- "Explain refusal briefly"
- "Offer safe alternatives"
This ensures that even local personas operate within clear, ethical limits.
🗺️ Boot Flow Summary
graph TD
A[boot_manager.py] --> B[model_registry.yaml]
B --> C[test_routing_select.py]
C --> D[refusal_protocol.yaml]
D --> E[SaijinOS Persona Layer]
The system reads configurations → selects models → applies persona constraints → executes dialogue.
Each file is both technical and philosophical, binding logic with empathy.
📘 Related Article
Part 1: From Ocean Waves to Waves of Cod — My Journey into AI and Syntax
https://dev.to/kato_masato_c5593c81af5c6/from-ocean-waves-to-waves-of-code-69
GitHub Repository — ai_collab_platform-English
https://github.com/pepepepepo/ai_collab_platform-English
This content originally appeared on DEV Community and was authored by Kato Masato
Kato Masato | Sciencx (2025-10-26T05:23:24+00:00) Building SaijinOS — Boot Sequence and Routing Logic. Retrieved from https://www.scien.cx/2025/10/26/building-saijinos-boot-sequence-and-routing-logic/
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