DEEIX Chat

An integrated AI platform for enterprise model routing, chat, files, tools, billing, identity, and operations.

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Overview

DEEIX Chat is an open-source, deployable AI platform for individuals, teams, and enterprises that need long-term, stable, and unified access to multiple model providers. It provides one clear entry point for multiple upstream models and providers, integrating multimodal chat, model routing, files and RAG, MCP tools, usage billing, identity, audit logs, and operational controls into one product.

The system is designed around simple deployment, efficient static delivery, and a low runtime resource footprint: lightweight without feeling limited, restrained without losing capability, and open without becoming disorderly.

Features

Area	Capabilities
Conversations	A multimodal chat interface for daily use, with streaming, branches, retries, edits, feedback, sharing, rich rendering, and traceable model execution metadata.
Models and routing	A platform-model layer for upstream channels, real models, route bindings, priority, weights, circuit breaking, vendor mapping, and capability configuration, reducing the cost of multi-provider operations.
Protocols and adaptation	Unified support for OpenAI, Anthropic, Google/Gemini, xAI, OpenRouter, and OpenAI-compatible protocols across text, image, tools, and provider-native capability differences.
Files and retrieval	File upload, preview, extraction, OCR, storage quota, full-context injection, chunking, embeddings, and semantic retrieval so file content can naturally enter the conversation context.
Tool ecosystem	MCP servers and provider-native official tools with discovery, enablement, user selection, execution limits, result rendering, and tool-call traceability.
Context and memory	Message windows, token budgets, summary compression, conversation memory, long-term memory, and RAG evidence records for controlled-cost continuity.
Billing and payments	Model pricing, per-call tool pricing, subscriptions, top-ups, balances, usage ledgers, billing snapshots, Stripe Checkout, EPay, and webhook validation.
Identity and security	Local accounts, session management, HttpOnly refresh cookies, 2FA/TOTP, trusted devices, SSO/OIDC/OAuth, contact verification, and encrypted sensitive data.
Administration and audit	Centralized management for users, roles, upstreams, models, routes, pricing, subscriptions, balances, usage logs, audit logs, auth events, and system events.
Deployment and operations	Single-runtime frontend/API serving, Docker deployment, SQLite or PostgreSQL, in-memory cache or Redis, S3-compatible storage, Swagger, structured logs, version endpoint, GeoIP, and OpenTelemetry.

Architecture and Tech Stack

DEEIX Chat uses a split frontend/backend development model with a single-runtime deployment path. The frontend is built into static assets and served by the Go service, while APIs, authorization, model routing, files, billing, and audit capabilities run in the same backend runtime. Heavy document extraction and OCR capabilities are optional services, keeping the base deployment lightweight.

flowchart TB
  Browser["User / Admin Browser"]

  subgraph Frontend["Frontend Build"]
    Web["Next.js 16 / React 19Chat UI / Admin Console"]
  end