> Modelux is the control plane for LLMs. Policy-driven routing, finance-grade budgets, decision traces, and replay across every provider. # Modelux Docs Welcome. Modelux is the **control plane for your LLM stack**. You point your OpenAI SDK at Modelux and get policy-driven routing across every provider, finance-grade budgets, full decision traces, and a replay simulator — without changing your application code. ## Start here - **[Quickstart](/docs/quickstart)** — Send your first request in under 2 minutes. - **[Concepts / Routing](/docs/concepts/routing)** — How routing configs work. - **[API Reference](/docs/api/overview)** — The proxy and management APIs. ## What Modelux does - **Policy-driven routing.** Fallback chains, cost-optimized, latency-optimized, ensembles, A/B tests, cascades, custom rule DSL across OpenAI, Anthropic, Google, Azure, Bedrock, Groq, Fireworks. - **Finance-grade budgets.** Scoped spend caps with auto-downgrade, alerts, and tag-based attribution. - **Decision-level observability.** Every request stores the full routing decision: attempts, reasons, per-attempt timings and costs. - **Replay & versioning.** Configs are versioned with one-click rollback. Replay historical traffic against candidate configs before you ship them. - **Audit & governance.** Audit log, role-based access, SSO/SAML, IP allowlists. - **AI-native management.** REST API + MCP server — manage everything from your AI agent. ## What Modelux doesn't do - Prompt management / versioning (use a dedicated tool) - Model fine-tuning or hosting (we route to providers) - Prompt evaluation (planned, not shipped)