Architecture Completed

Unified Enterprise LLM Platform

Multiple AI models, one single platform

Centralized platform integrating multiple LLM providers (OpenAI, Anthropic, Google, open-source models) under a unified interface for enterprise use, with cost control, logging, rate limiting, and team-based access management.

aws

10 weeks

2023

2 engineers

The Problem

Teams across the organization using different LLM providers without centralized control. No visibility into costs per team or project, no prompt/response logging for compliance, shared API keys without rotation, and no ability to compare models for the same use case.

The Solution

Built a platform that acts as a unified gateway to multiple LLM providers. OpenAI-compatible API for frictionless adoption, admin panel for team-based access and budget management, complete logging of every interaction, and integrated A/B testing to compare models in production.

The Results

Significant LLM cost reduction through intelligent routing, complete usage visibility per team, compliance through interaction logging, and ability to switch providers without modifying consumer team code.

Measurable Results

LLM cost reduction

Sin control

30-40% menos

35% improvement

Integration time

Semanas por equipo

1 API key

95% improvement

Supported providers

Traceability

100%

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Schedule assessment

Project Phases

API research

1 week

Analysis of each provider's API, differences in formats, capabilities and pricing. Common abstraction definition.

Gateway & abstraction

3 weeks

API gateway with OpenAI-compatible interface, intelligent routing, provider fallback, and per-team rate limiting.

Admin panel

3 weeks

Real-time cost dashboard, per-team API key management, allowed model configuration, and usage reports.

Logging & compliance

2 weeks

Prompt/response logging system with configurable retention, full-text search, and audit export.

Model A/B testing

1 week

Framework to compare models on the same use case with quality, latency, and cost metrics.

Tech Stack

Technologies

typescriptnode.jsreactpostgresqlredisdockeropenai-apianthropic-apigoogle-ailangchain

Cloud Services (AWS)

EKSRDSElastiCacheCloudWatchAPI Gateway

Tools

terraformgithub-actionsdatadogpostman

Implementation Details

Architecture

The platform acts as an intelligent proxy between internal teams and LLM providers.

Core components

API Gateway: OpenAI SDK-compatible interface — teams only change the base_url
Router: Rule-based model selection (cost, latency, capability) with automatic fallback
Budget Engine: Per-team budget control with alerts and automatic cutoffs
Log Store: Storage of every interaction with search and filtering
Admin Dashboard: Panel for access, cost, and configuration management

Key benefit

Teams consume a standard API. If a better or cheaper model comes out tomorrow, traffic is rerouted without any team having to change a single line of code.

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