Latrix Runtime: The Standardized Execution Layer for Local AI
One runtime abstracts all hardware; one API governs all models. We bring unprecedented determinism to local AI development.
Latrix Runtime Architecture
Top-down layered architecture clearly showing the position of Latrix Runtime in the ecosystem and its internal structure
上层：应用和插件通过统一API调用Runtime
中层：Latrix Runtime核心（API层→服务层→插件系统→后端抽象）
下层：可插拔的推理后端引擎
Latrix Runtime Feature Matrix
How We End the "Local AI Environment Hell"
1. Unified API & Backend Abstraction
We believe developers should focus on "creating", not "adapting".
100% OpenAI-Compatible API: Your existing code needs no modification, just change the `base_url` to seamlessly integrate with Latrix.
LAIC High-Performance Protocol: For scenarios requiring ultimate performance like "multi-model interaction" and "multi-agent", providing binary, zero-copy communication capabilities.
Pluggable Backend Architecture: Latrix is not another inference engine, but the "commander" of all inference engines. Native support for `llama.cpp`, `vLLM`, `ONNX Runtime`, `TensorRT-LLM`, and infinitely extensible through plugins.
2. Automated Performance Engineering
We believe ultimate performance should be "out-of-the-box", not "painstakingly debugged".
Intelligent Hardware Scheduler: Automatically detects your hardware (Apple Silicon, NVIDIA, AMD, Intel CPU) and selects the optimal runtime backend and configuration.
Automated Inference Optimization: Native integration with **FastMTP** and other speculative decoding techniques, bringing **2x+** seamless performance improvements to your applications.
Intelligent Quantization & Compilation: Automatically selects the best quantization strategy or performs deep model compilation based on your hardware constraints and performance/quality preferences.
Dynamic Memory Management: Supports memory offloading, allowing your "entry-level" GPU to run larger models.
3. Docker-like Lifecycle Management
We believe managing AI models should be as simple as managing containers.
Unified CLI Toolchain: Provides a series of simple yet powerful command-line tools like `latrix pull/list/update/optimize/doctor`.
One-Click Secure Deployment: The `latrix pull` command automatically completes **hardware detection, intelligent version matching, `Latrix Secure` security validation** and all other complex steps.
Version Control & Rollback: Easily manage different versions of models, and rollback to the last stable version with one click when issues arise.
4. Enterprise-Grade Governance & Observability
We believe any production-grade AI application must be "controllable" and "transparent".
Built-in Access Control (RBAC): Fine-grained management of which users and applications can access which models.
Quota & Rate Limiting: Set fine-grained request frequency and token usage quotas for different API keys.
Immutable Audit Logs: Record every AI call made through Latrix, meeting the strictest compliance requirements.
Open Standard Observability: Native support for **Prometheus** (Metrics), **OpenTelemetry** (Traces) and structured logs (Logs), seamlessly integrating with your existing monitoring system.
5. The Extensible Core for the Future
We believe a great platform derives its power from its ecosystem.
Powerful Plugin Hook System: Provides a series of stable, low-latency "system call" interfaces like `Pre/Post-Inference`, allowing advanced plugins like `Context Plane` to deeply and safely intervene in the core inference process.
Design Reserved for World Models: Built-in "stateful inference" and "multimodal data bus" architecture, reserving interfaces for supporting next-generation "world models".