4 个仓库
Targets a specific loaded model by its model ID in a request, with fallback to a default model.
Distinct from Model-as-a-Table Integrations: Distinct from Model-as-a-Table Integrations: focuses on routing inference requests, not exposing models as queryable tables.
Explore 4 awesome GitHub repositories matching data & databases · Request Routing by Model ID. Refine with filters or upvote what's useful.
Switches between classification and regression at inference time via a task configuration parameter.
mistral.rs is an inference engine for large language models that runs locally and exposes models behind OpenAI and Anthropic-compatible APIs. It serves as a multi-model serving platform, capable of loading several models in a single server process with per-request routing and on-demand loading and unloading. The engine supports multimodal inference, processing text alongside images, video, audio, and speech inputs, and includes a quantized model deployment runtime that reduces memory use and speeds up inference on consumer hardware. The project distinguishes itself through an agentic tool exe
Routes inference requests to specific loaded models by ID, with fallback to a default.
Plano is an AI agent orchestrator and LLM gateway proxy that unifies access to multiple AI providers through a single interoperable interface. It functions as a model routing engine that decouples applications from specific vendors using semantic aliases, allowing traffic to be shifted between providers without modifying application code. The system distinguishes itself with intent-based agent routing, which directs prompts to specialized agents based on semantic analysis. It features an interceptor-based filter chain system that acts as guardrail middleware to enforce safety policies, rewrit
The product designates a specific model to handle requests when no specific model is requested by the client.
Routes each inference request to the model best suited for its task, optimizing for latency, cost, or accuracy.