HiveGPT
Enterprise multi-LLM orchestrator with vLLM & policy guardrails
Structured architectural snapshot optimized for enterprise review and generative search synthesis.
LangGraph-orchestrated multi-model routing across 14 models with policy guardrails and full audit logs.
Pre/post-tool-call guards with configurable audit trails.
Models: 14 • Throughput: 8K tok/s • Routing accuracy: 99.4%
Zero Data Leakage / ISO 27001 Aligned
Executive Summary // Architecture Brief
PRODUCTION SPECIFICATIONA self-hosted multi-LLM orchestrator routing across 14 models with vLLM inference, policy-guarded tool calls, and full audit trails.
Key Impact & Verified Metrics // 2026 Telemetry
LIVE PRODUCTION BENCHMARKSCore Architecture & Capabilities // Symmetrical Topology
[ 3 OF 3 MODULES DEPLOYED ]Policy engine
Pre/post-tool-call guards with configurable audit trails.
Cost-aware routing
Per-tenant model routing by cost & latency budgets.
Self-hosted inference
vLLM-based inference eliminating external API costs and security exposure.
AI Campaigns on Command: Multi-Agent Orchestration
Planner-Specialist Hierarchy & Model-to-Task Routing
The Hard Part: Preserving Brand Voice Across Agent Swarms
- Multi-tenant knowledge base on PostgreSQL and vector store, scoped strictly by tenant prior to ranking
- Rule-driven lead scoring with visible factor attribution so marketers see exactly why leads rank high
- SignalR streaming for live progress updates across landing pages, emails, and event registration forms
- Per-tenant usage tracking and quota limits enabling tiered subscription pricing and overage billing
HiveGPT - Enterprise Multi-LLM Routing & Autonomous Engine
Production multi-model AI routing mesh orchestrating 14+ self-hosted and proprietary LLMs with real-time cost-budgeting, policy safety guardrails, and high-throughput vLLM inference.
Responsible AI Guardrails & Policy Enforcement Plane
Enterprise AI Security & ComplianceBidirectional policy gateway inspecting prompt and completion streams with automated PII redaction, hallucination scoring, and deterministic rule validation.
HiveGPT - Architecture Topology
Live topology inspection, microservice mesh, and protocol specifications for HiveGPT.
Next.js 16 Edge Client
Global CDN distribution with server-side streaming hydration and sub-second TTFB.
YARP / Envoy Gateway
OAuth2/JWT token verification, mTLS encryption, rate limiting, and dynamic tenant routing.
SignalR WebSocket Hub
Bidirectional streaming for live telemetry, chat broadcast, and instant notifications backed by Redis.
C# .NET 9/10 Core Engine
High-throughput event sourcing with MediatR CQRS pipelines and compiled expression trees.
LangGraph AI Mesh
Stateful multi-agent execution with policy guards, token budget controllers, and tool routing.
vLLM Inference Cluster
Self-hosted Llama-3 & DeepSeek models with continuous batching and FP8 quantization.
Vectorless BM25 Engine
Zero vector database lock-in. SQLite FTS5 / Lucene BM25 index with reranking cross-encoder.
Apache Kafka / RabbitMQ
Log-based partitioned event streams for asynchronous auditing, notifications, and telemetry ingestion.
Redis 7.2 Cluster
Distributed cache with sub-millisecond lookups, distributed locks, and SignalR pub/sub backplane.
PostgreSQL Multi-Tenant DB
Strict tenant schema isolation with connection pooling (PgBouncer) and WAL archiving.
Next.js 16 Edge Client
SSR / Edge Worker
Architectural Specification
Global CDN distribution with server-side streaming hydration and sub-second TTFB.
Downstream Pipe Connectors
Verified Production Impact & Client Endorsements
Real feedback from engineering leaders, CTOs, and founders across 15+ years of production deployments.
“Vijay and the SHIVAM ITCS AI team didn't just execute the project - they elevated our entire platform. Their ability to architect complex multi-agent state machines, eliminate latency bottlenecks, enforce zero-hallucination guardrails, and create an intelligent multi-LLM orchestration layer was extraordinary. The final delivery was resilient, battle-tested, and far beyond expectations. One of the strongest AI systems engineering teams in the industry.”
Related Works & Architectures
Explore interconnected production systems, domain-specific implementations, and technical blueprints from our engineering portfolio.
Ready to Build Enterprise HiveGPT?
Consult directly with our principal AI architects to evaluate architecture feasibility, cost optimization paths, and implementation timelines.