LLM Connect - Sell Project

Local & Cloud AI Offline Models: Run quantized GGUF or LiteRT models fully offline. Multi-Provider Cloud: Use Ollama, OpenAI, Claude, Groq, Grok, or Gemini. Encrypted Keys: API keys are stored in encrypted on-device storage. Agents (LLMC Bots) Autonomous Tasks: Give each agent a goal, system prompt, and follow-up steps. It runs in the background. Flexible Scheduling: Run once, on an interval, daily, or on chosen weekdays. Limit by cycle count or time, or run on demand. Per-Agent Models: Each agent uses its own cloud model or an on-device model. Run Logs: Every agent keeps a log of runs, messages, and errors. Tools & Function Calling Built-In Tools: Files, device information, and time. Disabled by default, so you choose what each chat or agent can use. Device Manager: Lets the model query the packages installed on your device. Custom Tools: Build web-request tools from templates for search, dictionary, authenticated APIs, and webhooks. LLMC Terminal Real Ubuntu 24.04: A full Linux shell with apt, Python, git, curl, and more. One-Tap Setup: The base system downloads and configures on first launch. Shared AI Files: Files from chats and agents appear in /root/ai-files. Touch Controls: A key bar with Ctrl, Alt, Esc, Tab, arrows, and paste. Pinch to zoom. Select & Act: Copy highlighted text, select all, or open links. System Logs: Search and filter Ubuntu logs, including apt and dpkg, plus your session. Quick Commands: A reference of common commands with one-tap copy. Reset Anytime: Wipe the environment. A confirmation step prevents accidents. Local API Server Share Your Model: An OpenAI-compatible endpoint that devices on your Wi-Fi can call. Token Protection: Every request needs an access token. Rotate it anytime. Streaming: Standard chat completions with streaming. Most apps connect by changing the base URL. Background Operation: A foreground service keeps the server reachable. RAG & MCP Retrieval-Augmented Generation: Ground answers in your own documents. Model Context Protocol: Connect MCP servers for external tools and data. Speech Input On-Device Speech-to-Text: Dictate prompts with Whisper models that run on your phone. Model Management Import & Guardrails: Import model files with RAM safeguards to protect stability. Hardware Acceleration: Choose CPU, GPU, or NPU. Multimodal: Process images with vision-language models and mmproj files. Chat & Generation Controls Live Streaming: Pause or stop mid-stream and keep the output so far. Tuning: Adjust system prompt, context window, max tokens, temperature, seed, Top-P, and Top-K. Presets & Metadata: Code/Math, Creative, and General presets. Each reply shows token count, speed, seed, and duration. Conversations & Statistics On-Device Storage: Chats live in a local SQLite database. Chat Management: Search, title, rename, and manage history privately. Chat Statistics: A collapsible panel with messages, tokens, speed, duration, server requests, tool calls, and errors. Monitoring & Benchmarks Live Telemetry: RAM, available memory, and device temperature. Hardware Benchmarks: Token speed, temperature profiles, and performance scores. Guidance System Intents: Open model files from third-party file managers. Guided Tour: Covers hardware, models, agents, tools, and the terminal. Turn your Android device into a private AI workstation.