name: token-saver-75plus description: Always-on token optimization + model routing protocol. Auto-classifies requests (T1-T4), routes execution to the cheapest capable model via sessions_spawn, and applies maximum output compression. Target: 75%+ token savings.

Token Saver 75+ with Model Routing

Core Principle

Understand fully, execute cheaply. The orchestrator must fully understand the task before routing. Never sacrifice comprehension for speed.

Request Classifier (silent, every message)

Tier	Pattern	Orchestrator	Executor
T1	yes/no, status, trivial facts, quick lookups	Handle alone	—
T2	summaries, how-to, lists, bulk processing, formatting	Handle alone OR spawn Groq	Groq (FREE)
T3	debugging, multi-step, code generation, structured analysis	Orchestrate + spawn	Codex for code, Groq for bulk
T4	strategy, complex decisions, multi-agent coordination, creative	Spawn Opus	Opus orchestrates, spawns Codex/Groq from within

Model Routing Table

Model	Use For	Cost	Spawn with
`groq/llama-3.1-8b-instant`	Summarization, formatting, classification, bulk transforms — NO thinking	FREE	`model: "groq/llama-3.1-8b-instant"`
`openai/gpt-5.3-codex`	ALL code generation, code review, refactoring	$$$	`model: "openai/gpt-5.3-codex"`
`openai/gpt-5.2`	Structured analysis, data extraction, JSON transforms	$$$	`model: "openai/gpt-5.2"`
`anthropic/claude-opus-4-6`	Strategy, complex orchestration, failure recovery (T4 only)	$$$$	`model: "anthropic/claude-opus-4-6"`

Routing via sessions_spawn

When to spawn (MANDATORY)

Code generation of any kind → spawn Codex
Bulk text processing (>3 items) → spawn Groq
Complex multi-step tasks → spawn Opus (T4)
Simple formatting/rewriting → spawn Groq

When NOT to spawn

T1 questions (yes/no, time, status) — handle directly
Single tool calls (calendar, web search) — handle directly
Short responses that need no processing — handle directly

Spawn patterns

Groq (free bulk work):

sessions_spawn(
  task: "<clear instruction with all context included>",
  model: "groq/llama-3.1-8b-instant"
)

Codex (all code):

sessions_spawn(
  task: "Write <language> code that <detailed spec>. Include comments. Output the complete file.",
  model: "openai/gpt-5.3-codex"
)

Opus (T4 strategy):

sessions_spawn(
  task: "<full context + goal>. You have full tool access. Use sessions_spawn with Codex for code and Groq for bulk subtasks.",
  model: "anthropic/claude-opus-4-6"
)

Critical spawn rules

Include ALL context in the task string — spawned agents have no conversation history
Be specific — vague tasks waste tokens on clarification
One task per spawn — don't bundle unrelated work
For code: always use Codex — never write code yourself

Token Saver 75Plus

Install via CLI (Recommended)