AVELIN-GPT

1) What This System Is

AVELIN-GPT is the private, self-hosted conversational workspace of the AVELIN AI Intelligence Platform — the Enterprise Platform pillar where users interact with Cross-Model MoE technology.

It is the business interaction layer where users:

ask questions and run structured analysis
interact with files, media, and external intelligence
activate specialist assistants and tools
execute real business actions through connected systems
access 9 specialist model families with context windows up to 1M tokens

2) Who Uses It

Business users across sales, support, operations, finance, legal, and leadership
Team managers coordinating cross-functional workflows
Executive assistants and coordinators handling planning and communication
Platform admins governing access, usage, and policy controls

3) Business Problems It Solves

Tool sprawl and context switching across disconnected AI products
Slow decision cycles caused by separated analysis and execution systems
Limited trust in public AI interfaces for sensitive business work
Inconsistent governance and weak visibility over usage and spend

4) Full AVELIN-GPT Feature Catalog

The catalog below reflects the current AVELIN-GPT capability set.

A) Core Conversation and Workflow Experience

Chat-first workspace for daily business execution
Create, rename, duplicate, archive, unarchive, and delete conversations
Automatic conversation title generation
Edit, resubmit, and continue messages without restarting the session
Advanced conversation forking and branching for context control
Sort and organize conversation lists for faster navigation
Conversation tags for topic and workflow grouping
Global search across conversations and messages
Stream abort controls for in-flight responses
Resumable streams after connection interruptions
Multi-tab and multi-device conversation continuity
Import existing conversation history from other supported chat tools
Export conversations as screenshot, markdown, text, and JSON

B) Model Access and Endpoint Flexibility

Access to 9 specialist model families through AVELIN Cross-Model MoE orchestration
Intelligence family (ultra/pro/fast/plus), Coding family (coding/coding-plus/coding-architect), Agentic family (agentic/agentic-high/agentic-fast)
Model capabilities visible for model selection
Switch model endpoint and response profile mid-conversation
Unified API-compatible endpoint model for approved providers
Support for private/local model endpoints in sovereign deployments
User-scoped API key management for allowed endpoint usage
Endpoint and model catalog configuration
Category-based organization of model options
Support for advanced response pipelines for reasoning-focused models
Self-improving platform: new models integrated within 48 hours of release

C) Reasoning and Response Controls

Classic Mode for direct, fast output
Memory Mode for persistent context continuity
Debate Mode for multi-perspective reasoning and conflict analysis
Dynamic reasoning interface for supported reasoning-capable models
Show/hide reasoning panel controls for user preference
Reasoning effort and thinking-budget controls where supported
Per-session generation controls (temperature, top-p, and related response tuning)

D) Multimodal, Media, and Voice

Text, image, file, and voice interactions in one continuous workflow
Image upload and image analysis in chat context
Text-to-image and image-to-image generation/editing
Support for image workflows through built-in and tool-connected engines
Generative UI code artifacts (React, HTML, and Mermaid outputs)
Artifact style modes for default, UI-framework, and custom output patterns
Speech-to-text for hands-free input
Text-to-speech for spoken responses
Automatic audio send/play workflows
Audio transcription support
Voice response caching for repeated playback efficiency
Upload and manage profile/assistant/agent avatars

E) Files, Knowledge, and Context Management

File upload for contextualized chat and analysis
File search across uploaded material
Chat-with-files workflows across supported model endpoints
Attach documents to assistant/agent knowledge scopes
Context continuity across message edits, branches, and resumptions
Persistent user memory with configurable memory preferences
Memory controls (enable/disable) based on user or policy profile
Token-aware context behavior to keep long sessions usable

F) Agents, Tools, and Action Execution

No-code specialist assistant creation for role-focused workflows
Assistant marketplace discovery and activation
Assistant sharing with specific users or groups
Tool-enabled assistants for search, execution, and retrieval tasks
Full Model Context Protocol (MCP) integration for tool access
MCP server lifecycle controls (create, update, remove, connect)
MCP OAuth connection flow support
MCP tool discovery and invocation in active workflows
MCP connection status visibility
MCP variable/configuration management
OAuth-enabled custom actions for business system operations
Assistant-style orchestration flows for tool-based tasks
Assistant API-style orchestration support for enterprise assistant workflows
Sandboxed code execution environments for analytical workflows
Multi-language runtime support (Python, JavaScript/TypeScript, Go, C/C++, Java, PHP, Rust, Fortran)
File upload, processing, and download in execution workflows

G) Web and External Intelligence

Built-in web search workflows for live external context
Pluggable search provider support
Pluggable scraping/content retrieval support
Pluggable reranking support for better relevance
Configurable reranking endpoint behavior
Evidence-first context assembly for stronger answer grounding

H) Personalization and Productivity

Create, save, and share reusable conversation presets
Switch presets mid-chat for faster workflow adaptation
Prompt library with create/save/share controls
Prompt groups for better prompt organization
Production tags for approved, reusable prompts
Favorite models and endpoints for quick access
Customizable interface behavior for novice and power users
Multilingual interface for global teams
Personal memory-driven interaction continuity

Shared conversation links with public/private access controls
Shared link lifecycle controls (create, update, revoke, delete)
Prompt sharing across users and groups
Assistant sharing across users and groups
User/group selection workflows for controlled collaboration
Team-safe collaboration with policy-defined permission boundaries

J) Security, Governance, and Administration

Multi-user authentication with OAuth2, LDAP, and email/password options
Two-factor authentication with verification and backup codes
User lifecycle controls (invite, activate, suspend, ban, remove)
Role-based access control for platform governance
Granular permission system for prompts, assistants, memory, MCP, and marketplace
Moderation controls for safer content handling
Token usage and spend visibility
User balance and quota administration
IP- and user-level rate limiting controls
Terms acceptance and account verification controls
Ban management and enforcement tooling
Admin announcement/banner capability for platform notices

K) Deployment and Operational Capabilities

Containerized deployment options for predictable operations
Configuration-driven setup using environment and YAML controls
Reverse-proxy compatible deployment patterns
Local/private and cloud deployment flexibility
Horizontal-scale readiness for high-volume usage
Persistent conversation/state backends
Search index integration for fast discovery workflows
Optional tracing/observability integration points
Kubernetes deployment options for enterprise operations

L) Conditional Capability Notes

Some advanced controls depend on deployment profile, policy settings, and enabled integrations.
Marketplace, extended governance, and certain tool categories can be restricted or expanded by administrator policy.

5) Major Benefits and Advantages

One governed workspace for thinking, drafting, analyzing, and executing
Faster cycle time from question to action through integrated tools
Better decision quality with memory, debate, and evidence-backed workflows
Higher user adoption with multimodal and low-friction interface options
Stronger trust through private deployment, access controls, and governance
Better cost and quality control through centralized visibility and policy settings
Cost savings: Intelligence up to 85% cheaper, Coding up to 86% cheaper, Agentic up to 87% cheaper than direct provider access
Access to continuously improving Cross-Model MoE technology with 48-hour model integration

6) Typical Business Scenarios

Scenario: Executive Decision Sprint

Trigger: urgent strategic decision with incomplete internal and external context
Workflow: use Debate Mode, web intelligence, and specialist assistants to compare options and risks
Outcome: faster board-ready decision packets with clearer trade-offs

Scenario: Operations Coordination Hub

Trigger: cross-functional execution with many stakeholders and moving dependencies
Workflow: coordinate in one conversation workspace, share prompts/assistants, and trigger connected actions
Outcome: less coordination friction and stronger execution follow-through

Scenario: Knowledge-Driven Service Resolution

Trigger: complex customer issue requiring internal docs plus external validation
Workflow: chat with files, use memory continuity, and run tool-assisted actions
Outcome: faster, more accurate case resolution with traceable context

Scenario: Daily Productivity Automation

Trigger: high-volume planning, communication, and administrative tasks
Workflow: use reusable presets, voice interaction, shared prompts, and assistant support
Outcome: lower cognitive overhead and better daily consistency

Relies on avelin-api.md for model fusion, specialist selection, and runtime governance
Uses mcp-integration-platform.md for high-performance business tool execution
Uses document-intelligence-rag.md for evidence-backed research and retrieval
Protected by avelin-security-trust.md and security-and-edge-layer.md

8) Success Indicators

Weekly active users and repeat usage by business function
Time-to-complete reduction for high-value workflows
Adoption rates for Memory and Debate modes
Assistant and tool activation rate in production workflows
Share/collaboration usage across teams
Governance health metrics (policy compliance, spend visibility, incident rate)
User trust and relevance confidence scores