yuyay 0.3.2

YUYAY Intelligence Framework — UN Office of the Future

YUYAY Intelligence Framework

A multi-dimensional intelligence framework for evaluating alignment across 12 archetype dimensions — developed for the UN Office of the Future by Mitchell Gold.

pip install yuyay

Quickstart

from yuyay.archetypes import get_archetype_by_name
from yuyay.questionnaire import process_responses
from yuyay.fios import FIOS, FIOSConfig

# Look up an archetype
archetype = get_archetype_by_name("The Seer")
print(archetype.summary())
# → The Seer: Vision, source insight, coherence sensing

# Process questionnaire responses
report = process_responses({
    "1a": "YES",
    "1b": "NO", 
    "2a": "PO",
})
print(report.summary())
# → YES: 1 | NO: 1 | PO: 1 | Total: 3 | Flagged: 2

# Query an LLM with YUYAY context injected
import asyncio

async def main():
    fios = FIOS(FIOSConfig(
        provider="anthropic",
        model="claude-opus-4-6",
        api_key="your-key",
    ))
    result = await fios.query("What is the highest purpose of technology?")
    print(result.summary())
    # → [anthropic/claude-opus-4-6] Tokens: 850 | Latency: 1240ms | Coherence: 80/100 | Cost: $0.002400

asyncio.run(main())

Modules

Module	Purpose
archetypes.py	12 YUYAY archetypes with gifts and shadow aspects
transformers.py	10 transformer questions with lookup functions
wheel.py	Co-Creation Wheel — 12 societal sectors
questionnaire.py	YES/NO/PO response processor with scoring
po.py	Edward de Bono PO lateral thinking logic
fios.py	LLM orchestration — OpenAI, Anthropic, Google
exceptions.py	Custom exception hierarchy
config.py	Environment-based configuration

FIOS — LLM Orchestration

FIOS (Foundational Intelligent OS) injects the full YUYAY framework as system context into any LLM query and evaluates the response for coherence.

from yuyay.fios import FIOS, FIOSConfig

# Query all three providers concurrently
fios = FIOS(FIOSConfig(provider="mock", model="mock-model"))
results = await fios.query_all_providers(
    "What is wisdom?",
    configs=[
        FIOSConfig(provider="anthropic", model="claude-opus-4-6", api_key="..."),
        FIOSConfig(provider="openai", model="gpt-4", api_key="..."),
        FIOSConfig(provider="google", model="gemini-pro", api_key="..."),
    ]
)
for r in results:
    print(r.summary())

Features:

• Provider adapter pattern — swap providers without changing business logic
• Automatic YUYAY context injection into every prompt
• Response coherence scoring against 12 archetype dimensions
• Token usage tracking and cost estimation per provider
• Retry logic with exponential backoff
• Circuit breaker pattern for resilience
• Concurrent multi-provider queries via asyncio

The 12 Archetypes

The Seer · The Architect · The Bridgebuilder · The Steward · The Navigator · The Maker · The Catalyst · The Harmonizer · The Sage · The Oracle · The Alchemist · The Weaver

The Transformer Questions (10 questions, 12 response fields)

Questions 1 and 2 have sub-parts (a and b), giving 12 total response fields.

Each answerable as YES, NO, or PO (Edward de Bono's lateral thinking operator):

1. Does the idea serve my highest purpose?
2. Is it relevant?
3. Do I have enough information to decide?
4. Can we involve other stakeholders?
5. Am I being Wise?
6. Are Judgments or Bias present?
7. Have I used compassion and mercy?
8. Is my heart making the decision on its own?
9. Does this allow peak performance?
10. Will something of lasting endurance be created?

Links

• Live platform: unofficeofthefuture.org
• API docs: yuyay-production-2e45.up.railway.app/docs
• GitHub: github.com/EkanshSingh401/yuyay

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Developed by Mitchell Gold — UN Office of the Future
Engineering by Ekansh Singh — Georgia Institute of Technology