Platform Overview - LLM Controls

Build, Optimize, and Deploy GenAI Applications That Scale.

LLM Controls is an end-to-end GenAI infrastructure and enterprise AI workflow platform that is visually intuitive, fully extensible, and battle-tested for production. Whether you’re designing flows or deploying AI agents, LLM Controls gives you the tools to go from prompt to product.

Product overview diagram showing key platform features and services.

Workflow Composer

Drag and Drop Builder + Code Orchestration. Build Agents, RAG Pipelines, and Toolchains. Manage State, Memory, Routing, and Retries. Integrate with OpenAI, Anthropic, Gemini, and Open-Source Models (via OpenRouter).

Prompt Generation & Optimization

Inject test cases, generate prompt variants, and Inline evaluation score for accuracy, helpfulness, safety, and leaderboard scoring.

Prompt generation and optimization workflow showing prompt optimizer and evaluation results

Hosted App Deployment

Instantly launch apps on a subdomain or custom domain. Add secure forms, authentication, and enable one-click launches from workflows.

Dataset + File Manager

Upload and manage large files (PDFs, CSVs, etc.), shared across flows and modules. Supports streaming, chunking, and deduplication.

Dataset and file manager interface showing data organization and file handling

RAG engine and vector database workflow showing retrieval and generation process

RAG Engine + VectorDB

Built-in vector database. Upload, chunk, index instantly. No Pinecone/external DB needed.

Collaboration & Operations

Version control with history + rollback, Real-time team editing, Usage tracking & Audit logs.

Collaboration and operations interface showing team workflows and operational controls

Dynamic API Generation

Each workflow = REST API, instantly Dynamic input/output schema, Secure with auth headers + rate limits, supports webhooks and polling.

Enterprise-Ready Features

Organization & Role Management, Single Sign-On (SSO), OAuth passthrough, Encrypted file store (safe for multi-user), Quotas, Billing, and Observability.

Agentic workflow diagram showing autonomous agents coordinating tasks and actions

Agent Workflows & Beyond

Beyond chatbots: Build autonomous agents, Tools, Memory, Retries, State Routing, Visual builder + Full Code Extensibility