DEV Community: Jeffrey.Feillp

Tian AI: Real-World Intelligence for Privacy-First Users

Jeffrey.Feillp — Mon, 27 Apr 2026 02:19:29 +0000

Free / Pro $29/mo ($299/yr) / Plus $99/mo ($999/yr) / Enterprise $4,999

Tian AI is a fully offline, three-layer thinking AI engine that runs entirely on your local hardware. No cloud dependency. No data leaving your device. No subscription fatigue.

Here's what that means in practice — across three real scenarios.

Scenario 1: The Privacy-Conscious Researcher

User: Dr. Chen, a patent attorney working with sensitive client documents.

Problem: Dr. Chen needs AI assistance to analyze 200+ pages of technical patents, cross-reference prior art, and draft preliminary responses. But his firm strictly prohibits sending client data to any cloud AI service (ChatGPT, Claude, Gemini).

Solution with Tian AI Pro ($29/mo):

Installs Tian AI on a standard office laptop (no GPU needed)
Imports 200+ pages of patent documents into the local knowledge base
Uses Chain of Thought pipeline to systematically analyze each claim, step by traceable step
Every reasoning step is logged and auditable — critical for legal defensibility
No data ever leaves the local machine — fully compliant with client confidentiality agreements

Result: 4 hours of work reduced to 45 minutes. Zero data exposure risk. Full audit trail.

"I can't use cloud AI due to confidentiality rules. Tian AI gives me the same analytical power, completely offline."

Scenario 2: The AI-Powered Developer

User: Maria, a full-stack developer building a complex SaaS application.

Problem: Maria needs an AI coding assistant that understands her entire codebase, integrates with her local IDE, and works without internet — she codes on long flights and in cafés with spotty connections.

Solution with Tian AI Plus ($99/mo):

Connects Tian AI to her local Git repository
Uses Fast Thought pipeline for quick code completions and real-time suggestions
Switches to Chain of Thought for debugging complex race conditions in async code
Engages Deep Reflection when designing system architecture — the AI evaluates multiple architectural approaches, considers trade-offs, and generates a pros/cons matrix
Runs 100% offline — works on flights, tunnels, remote locations
Local LLM integration means zero API costs for ongoing use

Result: Development velocity increased 3x. Zero dependency on cloud API availability. No per-token costs.

"I used to pay $200+/month for cloud AI coding tools that stopped working when I lost signal. Tian AI is faster, private, and actually understands my full codebase."

Scenario 3: The Enterprise Automation Team

User: A financial services firm deploying AI agents across departments.

Problem: The firm needs AI agents that can autonomously schedule tasks, analyze reports, interact with internal systems, and coordinate across teams — all while maintaining strict data governance.

Solution with Tian AI Enterprise ($4,999 buyout):

Deploys Tian AI on-premise with full local LLM integration
Configures Agent Scheduling System — autonomous agents that:
- Pull daily reports from internal databases
- Analyze P&L statements using Deep Reflection
- Draft email summaries and flag anomalies
- Coordinate with other agents in a task queue
Emotion-aware interactions: Tian AI detects user sentiment in support tickets and adjusts response strategies
RAG (Retrieval-Augmented Generation): Agents query the company's internal document repository for accurate, sourced answers
Complete offline deployment: Zero data leaves the corporate network

Result: $12,000/month in cloud AI costs eliminated. 24/7 autonomous monitoring. Full data sovereignty.

"Enterprise AI shouldn't require handing your data to a third party. Tian AI's buyout model gave us the capability without the compliance headache."

Three Thinking Pipelines Explained

Pipeline	Speed	Use Case	Example
⚡ Fast Thought	Millisecond	Simple Q&A, daily chat, info retrieval	"What's my calendar look like tomorrow?"
🔗 Chain of Thought	Seconds	Logic, math, code debugging	"Find the bug in this async function"
🧠 Deep Reflection	Minutes	Complex decisions, strategy, multi-angle analysis	"Compare three architectural approaches for our microservices migration"

Pricing Comparison

Feature	Free	Pro ($29/mo)	Plus ($99/mo)	Enterprise ($4,999)
Basic LLM Chat	✅	✅	✅	✅
Fast Thought Pipeline	✅	✅	✅	✅
Chain of Thought Pipeline	—	✅	✅	✅
Deep Reflection Pipeline	—	—	✅	✅
Agent Scheduling	—	✅	✅	✅
Local LLM Integration	—	—	✅	✅
RAG Knowledge Retrieval	—	—	✅	✅
Multi-Model Switching	—	—	✅	✅
Full Offline Deployment	—	—	✅	✅
Daily Chat Limit	50	Unlimited	Unlimited	Unlimited
Dedicated Account Manager	—	—	✅	✅

Get Started

Free: Download and run immediately — no registration required
Pro ($29/mo or $299/yr): Upgrade for Chain of Thought, Agent scheduling, API access
Plus ($99/mo or $999/yr): Add Deep Reflection, local LLM, RAG, full offline
Enterprise ($4,999 buyout): On-premise deployment, complete ownership

Payment: USDT (TRC-20) / BTC / Fiat via NowPayments

Tian AI — Your Intelligence. Your Hardware. Your Privacy.

TIanka OS: A Cross-Device Operating System for the Modern Era

Jeffrey.Feillp — Mon, 27 Apr 2026 02:19:17 +0000

Free to Download | Commercial Licenses from $19–$99 | Five Device Form Factors

One OS, Five Devices

TIanka OS is not another Linux distro or a mobile skin. It's a ground-up designed operating system that runs across five distinct device form factors under a single unified architecture:

Device	OS Name	Target	License
⌚	Watch OS	Smartwatches, wearables	$19 commercial
📱	Phome OS	Smartphones, mobile devices	$49 commercial
📟	Pad OS	Tablets, foldables	$39 commercial
📺	TV OS	Smart TVs, streaming devices	$29 commercial
💻	PC OS	Desktops, laptops, workstations	$99 commercial

Total download size: ~704MB for all five variants.

What Makes TIanka OS Different?

1. Truly Cross-Device Architecture

Most "cross-platform" solutions are adaptations of a desktop OS scaled down. TIanka OS was designed from the ground up with device-specific kernels and UI frameworks optimized for each form factor — while sharing a common application layer, file system, and API surface.

Watch OS (32MB): Ultra-lightweight, gesture-based UI, health sensor integration
Phome OS (128MB): Full mobile OS with AI assistant integration
Pad OS (192MB): Multi-window productivity, stylus support
TV OS (96MB): 10-foot UI, streaming-optimized, voice control
PC OS (256MB): Full desktop environment, multi-monitor, development tools

2. Commercial-Ready From Day One

TIanka OS is free to download for personal and evaluation use. Commercial licenses grant:

✅ Complete system image for the licensed device type
✅ Commercial distribution rights (sell devices with TIanka OS pre-installed)
✅ Secondary development rights (modify, customize, brand)
✅ Lifetime license validity — one-time purchase, no recurring fees

3. Developer & Enterprise Friendly

Standard POSIX API compatibility
Native app development with multiple language support
Sandboxed application environment
Over-the-air update infrastructure
Hardware abstraction layer for easy porting

Use Cases

Hardware Manufacturers: Pre-install TIanka OS on your devices. Purchase commercial licenses per device type and ship with a polished, modern OS out of the box.

Embedded Developers: Use TIanka OS as a base for custom embedded systems. The commercial license permits full modification and redistribution.

Enterprise Deployments: Deploy across mixed-device fleets with a unified OS experience. PC OS for workstations, Pad OS for tablets, Phome OS for field devices.

Education & Research: Use the free version for learning, evaluation, and academic research. No restrictions on non-commercial use.

The TIanka Ecosystem

TIanka OS connects seamlessly with Tian AI (the local AI engine) and TFinancial OS (the financial operating system), forming the complete TIanka Trinity — AI + OS + Infrastructure.

Pricing Summary

License	Price	Inclusions
Watch OS	$19	Full system + commercial rights
TV OS	$29	Full system + commercial rights
Pad OS	$39	Full system + commercial rights
Phome OS	$49	Full system + commercial rights
PC OS	$99	Full system + commercial rights
All Five Bundle	Contact	Complete ecosystem

Free download available for all variants. Commercial licenses are one-time purchases — no subscriptions.

Get TIanka OS

Download the free system image for your target device
Evaluate and develop on it
Purchase the appropriate commercial license when ready to ship

Payment: USDT (TRC-20) / BTC / Fiat via NowPayments

TIanka OS — One Architecture. Five Devices. Unlimited Possibilities.

Tian AI: Your Private, Self-Evolving AI Engine — 3 Real-World Use Cases

Jeffrey.Feillp — Mon, 27 Apr 2026 02:13:21 +0000

Tian AI: Your Private, Self-Evolving AI Engine — Real-World Use Cases

Free / Pro $29/mo ($299/yr) / Plus $99/mo ($999/yr) / Enterprise $4,999

Tian AI is a fully offline, three-layer thinking AI engine that runs entirely on your local hardware. No cloud dependency. No data leaving your device. No subscription fatigue.

Here's what that means in practice — across three real scenarios.

Scenario 1: The Privacy-Conscious Researcher

User: Dr. Chen, a patent attorney working with sensitive client documents.

Solution with Tian AI Pro ($29/mo):

Installs Tian AI on a standard office laptop (no GPU needed)
Imports 200+ pages of patent documents into the local knowledge base
Uses Chain of Thought pipeline to systematically analyze each claim, step by traceable step
Every reasoning step is logged and auditable — critical for legal defensibility
No data ever leaves the local machine — fully compliant with client confidentiality agreements

Result: 4 hours of work reduced to 45 minutes. Zero data exposure risk. Full audit trail.

"I can't use cloud AI due to confidentiality rules. Tian AI gives me the same analytical power, completely offline."

Scenario 2: The AI-Powered Developer

User: Maria, a full-stack developer building a complex SaaS application.

Solution with Tian AI Plus ($99/mo):

Connects Tian AI to her local Git repository
Uses Fast Thought pipeline for quick code completions and real-time suggestions
Switches to Chain of Thought for debugging complex race conditions in async code
Engages Deep Reflection when designing system architecture — the AI evaluates multiple architectural approaches, considers trade-offs, and generates a pros/cons matrix
Runs 100% offline — works on flights, tunnels, remote locations
Local LLM integration means zero API costs for ongoing use

Result: Development velocity increased 3x. Zero dependency on cloud API availability. No per-token costs.

"I used to pay $200+/month for cloud AI coding tools that stopped working when I lost signal. Tian AI is faster, private, and actually understands my full codebase."

Scenario 3: The Enterprise Automation Team

User: A financial services firm deploying AI agents across departments.

Solution with Tian AI Enterprise ($4,999 buyout):

Deploys Tian AI on-premise with full local LLM integration
Configures Agent Scheduling System — autonomous agents that:
- Pull daily reports from internal databases
- Analyze P&L statements using Deep Reflection
- Draft email summaries and flag anomalies
- Coordinate with other agents in a task queue
Emotion-aware interactions: Tian AI detects user sentiment in support tickets and adjusts response strategies
RAG (Retrieval-Augmented Generation): Agents query the company's internal document repository for accurate, sourced answers
Complete offline deployment: Zero data leaves the corporate network

Result: $12,000/month in cloud AI costs eliminated. 24/7 autonomous monitoring. Full data sovereignty.

"Enterprise AI shouldn't require handing your data to a third party. Tian AI's buyout model gave us the capability without the compliance headache."

Three Thinking Pipelines Explained

Pipeline	Speed	Use Case	Example
⚡ Fast Thought	Millisecond	Simple Q&A, daily chat, info retrieval	"What's my calendar look like tomorrow?"
🔗 Chain of Thought	Seconds	Logic, math, code debugging	"Find the bug in this async function"
🧠 Deep Reflection	Minutes	Complex decisions, strategy, multi-angle analysis	"Compare three architectural approaches for our microservices migration"

Pricing Comparison

Feature	Free	Pro ($29/mo)	Plus ($99/mo)	Enterprise ($4,999)
Basic LLM Chat	✅	✅	✅	✅
Fast Thought Pipeline	✅	✅	✅	✅
Chain of Thought Pipeline	—	✅	✅	✅
Deep Reflection Pipeline	—	—	✅	✅
Agent Scheduling	—	✅	✅	✅
Local LLM Integration	—	—	✅	✅
RAG Knowledge Retrieval	—	—	✅	✅
Multi-Model Switching	—	—	✅	✅
Full Offline Deployment	—	—	✅	✅
Daily Chat Limit	50	Unlimited	Unlimited	Unlimited
Dedicated Account Manager	—	—	✅	✅

Get Started

Free: Download and run immediately — no registration required
Pro ($29/mo or $299/yr): Upgrade for Chain of Thought, Agent scheduling, API access
Plus ($99/mo or $999/yr): Add Deep Reflection, local LLM, RAG, full offline
Enterprise ($4,999 buyout): On-premise deployment, complete ownership

Payment: USDT (TRC-20) / BTC / Fiat via NowPayments

Tian AI — Your Intelligence. Your Hardware. Your Privacy.

TIanka OS: A Cross-Device Operating System for the Modern Era — 5 Devices, One Architecture

Jeffrey.Feillp — Mon, 27 Apr 2026 02:13:19 +0000

TIanka OS: A Cross-Device Operating System for the Modern Era

Free to Download | Commercial Licenses from $19–$99 | Five Device Form Factors

One OS, Five Devices

TIanka OS is not another Linux distro or a mobile skin. It's a ground-up designed operating system that runs across five distinct device form factors under a single unified architecture:

Device	OS Name	Target	License
⌚	Watch OS	Smartwatches, wearables	$19 commercial
📱	Phome OS	Smartphones, mobile devices	$49 commercial
📟	Pad OS	Tablets, foldables	$39 commercial
📺	TV OS	Smart TVs, streaming devices	$29 commercial
💻	PC OS	Desktops, laptops, workstations	$99 commercial

Total download size: ~704MB for all five variants.

What Makes TIanka OS Different?

1. Truly Cross-Device Architecture

Watch OS (32MB): Ultra-lightweight, gesture-based UI, health sensor integration
Phome OS (128MB): Full mobile OS with AI assistant integration
Pad OS (192MB): Multi-window productivity, stylus support
TV OS (96MB): 10-foot UI, streaming-optimized, voice control
PC OS (256MB): Full desktop environment, multi-monitor, development tools

2. Commercial-Ready From Day One

TIanka OS is free to download for personal and evaluation use. Commercial licenses grant:

✅ Complete system image for the licensed device type
✅ Commercial distribution rights (sell devices with TIanka OS pre-installed)
✅ Secondary development rights (modify, customize, brand)
✅ Lifetime license validity — one-time purchase, no recurring fees

3. Developer & Enterprise Friendly

Standard POSIX API compatibility
Native app development with multiple language support
Sandboxed application environment
Over-the-air update infrastructure
Hardware abstraction layer for easy porting

Use Cases

Hardware Manufacturers: Pre-install TIanka OS on your devices. Purchase commercial licenses per device type and ship with a polished, modern OS out of the box.

Embedded Developers: Use TIanka OS as a base for custom embedded systems. The commercial license permits full modification and redistribution.

Enterprise Deployments: Deploy across mixed-device fleets with a unified OS experience. PC OS for workstations, Pad OS for tablets, Phome OS for field devices.

Education & Research: Use the free version for learning, evaluation, and academic research. No restrictions on non-commercial use.

The TIanka Ecosystem

TIanka OS connects seamlessly with Tian AI (the local AI engine) and TFinancial OS (the financial operating system), forming the complete TIanka Trinity — AI + OS + Infrastructure.

Pricing Summary

License	Price	Inclusions
Watch OS	$19	Full system + commercial rights
TV OS	$29	Full system + commercial rights
Pad OS	$39	Full system + commercial rights
Phome OS	$49	Full system + commercial rights
PC OS	$99	Full system + commercial rights
All Five Bundle	Contact	Complete ecosystem

Free download available for all variants. Commercial licenses are one-time purchases — no subscriptions.

Get TIanka OS

Download the free system image for your target device
Evaluate and develop on it
Purchase the appropriate commercial license when ready to ship

Payment: USDT (TRC-20) / BTC / Fiat via NowPayments

TIanka OS — One Architecture. Five Devices. Unlimited Possibilities.

TFinancial OS: The Ultimate AI-Powered Trading & Financial Intelligence Platform

Jeffrey.Feillp — Mon, 27 Apr 2026 01:53:19 +0000

TFinancial OS: The Ultimate AI-Powered Trading & Financial Intelligence Platform

6 Editions | $299–$9,999 | Source Code License Available

What is TFinancial OS?

TFinancial OS is a complete financial operating system built for traders, quants, and institutions who need AI-driven analysis, automated trading, and portfolio optimization — all running locally with full control over your data and strategies.

Unlike cloud-dependent trading platforms, TFinancial OS gives you:

Full data privacy — all computation runs on your hardware
Low-latency execution — no API bottlenecks, no network delays
Customizable AI models — train your own strategy agents
Source code ownership — the Enterprise and Source Code editions grant full modification rights

Edition Comparison

Edition	Price	Best For
Basic Edition	$299	Individual traders, core algo trading
Premium Edition	$699	Advanced AI analysis + portfolio optimization
Ultimate Edition	$1,499	Full ML models, auto-trading bots, multi-exchange
Team Edition	$2,999	5-user license, team collaboration, centralized management
Enterprise Edition	$4,999	Unlimited users, custom development, white-label, on-premise
Source Code License	$9,999	Full source code, resell rights, 1-year dev support

Key Features

AI-Powered Trading Engine

Core trading algorithms with real-time market data
Machine learning models for price prediction and pattern recognition
Automated trading robots with customizable risk parameters
Multi-exchange support (Binance, Coinbase, Kraken, and more)

Advanced Analytics Suite

Technical analysis with 50+ indicators
Portfolio optimization using modern portfolio theory
Risk management tools (VaR, stress testing, drawdown analysis)
Custom report generation

Sandbox & Privacy

Isolated financial sandbox for strategy testing
AES-256 data encryption at rest and in transit
Privacy guard with granular access control
Complete offline operation capability

Enterprise Infrastructure

Team collaboration with role-based access control
Centralized management dashboard
Custom API access for integration
White-label options for institutional clients

Why TFinancial OS?

"I've been trading for 12 years. TFinancial OS's AI analysis caught a market pattern I would never have seen — and saved my portfolio 18% in Q1 alone." — Michael T., Quantitative Trader

"We deployed Enterprise Edition across our 15-person team. The on-premise deployment and white-label option sealed the deal. No cloud risk, full control." — Sarah L., Hedge Fund CTO

Pricing That Scales With You

Whether you're a solo trader looking for core algo tools ($299 Basic) or an institution needing unlimited users and source code ownership ($9,999 Source Code), there's an edition built for your workflow.

Cryptocurrency Payments Accepted:

USDT (TRC-20): TNeUMpbwWFcv6v7tYHmkFkE7gC5eWzqbrs
BTC: bc1ph7qnaqkx4pkg4fmucvudlu3ydzgwnfmxy7dkv3nyl48wwa03kmnsvpc2xv

Fiat payments via NowPayments (0.5% fee).

Get Started Today

TFinancial OS is a one-time purchase — no subscriptions, no hidden fees. Each edition includes updates for the specified period and priority email support.

[Buy TFinancial OS Now] → (Contact: support@tianka.ai)

TFinancial OS — AI-Driven. Local-First. Institution-Grade.

Building AI for the Bottom Billion: Why Mobile-First AI Matters

Jeffrey.Feillp — Sat, 25 Apr 2026 13:26:21 +0000

Building AI for the Bottom Billion: Why Mobile-First AI Matters

The AI revolution is leaving billions behind. Tian AI aims to change that.

The Problem

AI access today is controlled by:

Cloud providers (OpenAI, Google, Anthropic) — require subscriptions, internet, and credit cards
Hardware vendors (Apple, Samsung) — lock AI features to their latest devices
Geographic restrictions — many AI services block users from certain countries

The Solution: Mobile-First AI

Tian AI runs on any Android phone via Termux. No special hardware needed.

Why Phones?

3+ billion smartphone users worldwide
$200 phones have enough power for 1.5B parameter models
Always with you — AI that's there when you need it
No internet required — works in rural areas, on planes, underground

Technical Feasibility

Tian AI already runs on a Realme V70s ($150 phone):

Qwen2.5-1.5B runs at ~10 tokens/second
Knowledge queries in 0.04 seconds
Full system uses ~4GB RAM (with LLM loaded)
Battery: ~2 hours continuous LLM use

The Impact

Scenario	Without Tian AI	With Tian AI
Student in rural area	No access to AI	Offline AI tutor
Privacy-conscious user	Data sent to servers	100% local
No credit card	Can't pay for GPT	One-time crypto pay
Unsupported country	Geo-blocked	Unrestricted access

Financial Model

We accept cryptocurrency because:

No bank account required
Works in all countries
No identity verification
No recurring fees

The Goal

AI should be:

Accessible to everyone, not just the wealthy
Private by default, not by premium
Free to inspect, not a black box
Global, not geo-restricted

Tian AI is one step toward that vision.

Pay with crypto if you can, contribute code if you can't.

Tian AI + TFinancial OS: The Ecosystem Explained

Jeffrey.Feillp — Sat, 25 Apr 2026 13:25:41 +0000

Tian AI + TFinancial OS: The Ecosystem Explained

Two projects, one vision: building privacy-first, open-source tools for the modern digital age.

The Relationship

Tian AI

The intelligence layer — a self-evolving, offline AI system that runs on your device.

TFinancial OS

The finance layer — an AI-powered trading platform for cryptocurrency markets.

Shared Architecture

Both projects share:

Security Model: Same encryption and privacy-first design
Payment System: USDT(TRC-20) and Bitcoin
Open Source Philosophy: All code publicly available
AI Foundation: Both use Python + local processing
User Principles: No data collection, no accounts required

How They Work Together

Cross-Integration Potential

Tian AI can analyze market data from TFinancial OS
TFinancial OS can use Tian AI's LLM for natural language trading queries
Shared knowledge base for financial analysis

Development Synergy

Both built in Python with Flask/SQLite
Common component reuse (llama.cpp, Gradio)
Shared DevOps and deployment pipeline

The Vision

We're building a complete ecosystem:

Tian AI: Your personal AI assistant (offline, private)
TFinancial OS: Your trading platform (crypto-native)
Future: More tools in the same philosophy

Roadmap

✅ Tian AI M1 — Core AI system complete
✅ TFinancial OS — Full trading platform
🔄 Cross-integration — AI + Trading combined
📅 Public deployment — HF Spaces, GitHub release
📅 Payment gateway — NowPayments integration for fiat->crypto

Support the ecosystem:
USDT(TRC-20): TNeUMpbwWFcv6v7tYHmkFkE7gC5eWzqbrs
BTC: bc1ph7qnaqkx4pkg4fmucvudlu3ydzgwnfmxy7dkv3nyl48wwa03kmnsvpc2xv

Tian AI's Three-Layer Architecture: A Developer's Perspective

Jeffrey.Feillp — Sat, 25 Apr 2026 13:25:32 +0000

Tian AI's Three-Layer Architecture: A Developer's Perspective

Tian AI is organized into three logical layers, each with a distinct responsibility.

Layer 1: Perception & Communication

Talker Module

Handles conversation management
Multi-turn context tracking
Emotion-aware responses
LLM-driven follow-up questions

File: talker/__init__.py

Layer 2: Reasoning & Knowledge

Thinker Module

Three-layer reasoning (Fast/CoT/Deep)
Query routing based on complexity
Knowledge base integration

Knowledge Module

SQLite FTS5 knowledge retrieval
Million-entry concept database
0.04-second average query time

Files: cot_engine.py, knowledge/__init__.py

Layer 3: Action & Evolution

Agent Module

LLM-driven task planning
TaskQueue with dependency resolution
Safety whitelist for autonomous execution

Self-Evolution Module

AST-based code analysis
Automated patch generation
XP + leveling system

Files: agent/__init__.py, llm_agent.py, self_modify.py

Cross-Cutting Concerns

LLM Management

llm_manager.py: Process lifecycle
llm_bridge.py: API communication
prompt_cache.py: Response caching

Performance

Project: 770+ Python files, 171K+ lines
Core: 6 modules, 3 extension languages
Response time: 0.04s (knowledge) to 60s (deep reasoning)

Developer Notes

Each module is independently testable
Minimal external dependencies (just Flask, Gradio, requests)
Designed for easy module replacement
All modules work offline

This architecture allows Tian AI to be both powerful and maintainable.

Tian AI PromptCache: LRU+TTL Strategy for Local LLMs

Jeffrey.Feillp — Sat, 25 Apr 2026 13:24:53 +0000

Tian AI PromptCache: LRU+TTL Strategy for Local LLMs

LLM inference is expensive — both in time and battery. Tian AI's PromptCache dramatically reduces unnecessary calls.

The Strategy

Tian AI uses a dual eviction strategy: LRU (Least Recently Used) + TTL (Time To Live).

LRU Eviction

Maximum cache size: 1000 entries
When full, oldest entry is removed
Frequently accessed entries stay forever

TTL Expiry

Fast mode queries: 30 minute TTL
CoT mode queries: 15 minute TTL
Deep mode queries: 5 minute TTL
Knowledge base lookups: 60 minute TTL

Cache Key Design

def cache_key(query, mode, knowledge_context):
    text = f"{mode}:{query}:{knowledge_context[:200]}"
    return hashlib.md5(text.encode()).hexdigest()

The key includes:

The reasoning mode (Fast/CoT/Deep)
The raw query text
A prefix of the knowledge context

Performance Impact

Scenario	Without Cache	With Cache
Repeated query (10x)	30-60 seconds	0.1 seconds
Similar queries	Full LLM call	Partial match
User asks "What's Tian AI?" twice	1.5B inference	Instant reply

Implementation Details

class PromptCache:
    def __init__(self, max_size=1000, default_ttl=1800):
        self.cache = OrderedDict()
        self.expiry = {}

    def get(self, key):
        if key in self.cache:
            if time.time() < self.expiry[key]:
                self.cache.move_to_end(key)
                return self.cache[key]
            else:
                del self.cache[key]
        return None

The cache uses OrderedDict for O(1) LRU operations and a separate expiry dict for TTL tracking. This design was chosen over Redis or memcached because Tian AI runs entirely offline with no external dependencies.

Tian AI LLM Manager: Process Lifecycle on Mobile Devices

Jeffrey.Feillp — Sat, 25 Apr 2026 13:24:44 +0000

Tian AI LLM Manager: Process Lifecycle on Mobile Devices

Running a 1.5B parameter LLM on a phone is hard. Keeping it alive is harder.

The Problem

Termux (Android terminal) kills background processes when the device goes to sleep or when memory is low. The LLM process (llama-server) is especially vulnerable because it uses 2-4GB of RAM.

The Solution: LLMManager

Tian AI includes a dedicated process manager that monitors and maintains the LLM process:

class LLMManager:
    def __init__(self):
        self.health_check_interval = 30  # seconds
        self.max_restart_attempts = 5
        self.backoff_strategy = [1, 2, 4, 8, 15]  # seconds

Key Features

Health Checks
Every 30 seconds, the manager pings the llama-server endpoint. If no response within 5 seconds, it attempts recovery.

Auto-Restart
If the process dies, LLMManager spawns a new instance with the same parameters. Up to 5 restart attempts with exponential backoff.

Resource Monitoring
Tracks memory usage and CPU load. If memory usage exceeds 80%, it triggers a soft restart with reduced context window.

Graceful Shutdown
When the user exits Tian AI, LLMManager sends SIGTERM to the LLM process, waits 10 seconds, then SIGKILL if needed.

Implementation

health_url = f"http://localhost:{port}/health"
try:
    r = requests.get(health_url, timeout=5)
    if r.status_code == 200:
        return True
except:
    return False

Why This Matters

Without LLMManager, the LLM process would die silently after a few minutes of inactivity. Users would have to manually restart it. With LLMManager, Tian AI "just works" — even on resource-constrained mobile devices.

This is the engineering that makes local AI practical.

Getting Started with TFinancial OS: A Complete Guide

Jeffrey.Feillp — Sat, 25 Apr 2026 13:23:48 +0000

Getting Started with TFinancial OS

A complete walkthrough from zero to trading.

Prerequisites

A crypto wallet (Trust Wallet, MetaMask, or any USDT/BTC wallet)
USDT (TRC-20) or Bitcoin for payment
Python 3.8+ (for self-hosted version)

Step 1: Get Access

Send payment to:

USDT (TRC-20): TNeUMpbwWFcv6v7tYHmkFkE7gC5eWzqbrs
BTC: bc1ph7qnaqkx4pkg4fmucvudlu3ydzgwnfmxy7dkv3nyl48wwa03kmnsvpc2xv

After payment, contact us with the transaction ID. You'll receive access credentials.

Step 2: Setup

git clone https://github.com/your-repo/TFinancial_OS
cd TFinancial_OS
pip install -r requirements.txt
python setup.py

Step 3: Configure

# Edit config.yaml with your API keys
nano config.yaml

Step 4: Launch

python main.py

Key Features to Explore

Dashboard

Real-time portfolio overview
Market summary
Active alerts

AI Analysis

Pattern recognition reports
Risk scoring
Technical indicators

Alerts

Price alerts
Volume alerts
Pattern detection alerts

Support

We offer support via:

Email: Contact through Dev.to
Documentation: Built-in help system

Start trading with privacy and AI power.

TFinancial OS vs Traditional Trading Platforms

Jeffrey.Feillp — Sat, 25 Apr 2026 13:23:06 +0000

TFinancial OS vs Traditional Trading Platforms

Feature	TFinancial OS	Traditional Platforms
Payment	USDT/BTC only	Credit card, bank transfer
KYC	Not required	Required (ID, address)
Privacy	Complete	Your data on their servers
Cost	One-time payment	Monthly subscription + fees
Open Source	Yes	Rarely
AI Analysis	Built-in	Premium add-on
Offline Mode	Partially	No
Global Access	Yes	Regional restrictions

Why Choose TFinancial OS?

Privacy

Traditional platforms require your identity documents. We never see your personal information.

Cost Efficiency

Pay once, use forever. No monthly fees, no transaction fees, no hidden costs.

Open Source

The code is fully auditable. No backdoors, no hidden data collection.

AI Integration

Built-in AI analysis tools without extra subscription fees.

The Trade-Offs

Learning Curve

Crypto payments require basic knowledge of wallets and transactions.

Community Support

We're a small team. Response times may be longer than corporate platforms.

Verdict

If you value privacy and already use cryptocurrency, TFinancial OS is the better choice. If you prefer traditional banking and credit cards, consider a managed crypto conversion service like NowPayments to bridge the gap.

Not financial advice. DYOR.