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Awesome GitHub RepositoriesRequest Routing by Model ID

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.

Awesome Request Routing by Model ID GitHub Repositories

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  • priorlabs/tabpfnPriorLabs 的头像

    PriorLabs/TabPFN

    7,408在 GitHub 上查看↗

    Switches between classification and regression at inference time via a task configuration parameter.

    Pythondata-sciencefoundation-modelsmachine-learning
    在 GitHub 上查看↗7,408
  • ericlbuehler/mistral.rsEricLBuehler 的头像

    EricLBuehler/mistral.rs

    6,597在 GitHub 上查看↗

    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.

    Rustllmrustuqff
    在 GitHub 上查看↗6,597
  • katanemo/planokatanemo 的头像

    katanemo/plano

    5,120在 GitHub 上查看↗

    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.

    Rustai-gatewayai-gateway-supportenvoy
    在 GitHub 上查看↗5,120
  • vllm-project/semantic-routervllm-project 的头像

    vllm-project/semantic-router

    3,205在 GitHub 上查看↗

    Routes each inference request to the model best suited for its task, optimizing for latency, cost, or accuracy.

    Goai-gatewaybert-classificationfine-tuning
    在 GitHub 上查看↗3,205
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  4. Request Routing by Model ID

探索子标签

  • Difficulty-Based RoutersEstimates the difficulty of a computer-use agent step and routes it to the cheapest model meeting a reliability threshold. **Distinct from Request Routing by Model ID:** Distinct from Request Routing by Model ID: focuses on routing based on estimated action difficulty, not model ID targeting.
  • Task Configuration RoutersSwitching between classification and regression at inference time via a task configuration parameter. **Distinct from Request Routing by Model ID:** Distinct from Request Routing by Model ID: focuses on routing by task type (classification vs regression), not by model ID.
  • Workload-Based Model SelectorsRoutes inference requests to the model best suited for the task, optimizing for latency, cost, or accuracy. **Distinct from Request Routing by Model ID:** Distinct from Request Routing by Model ID: selects models based on workload characteristics, not just a static model ID.