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4 dépôts

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

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • priorlabs/tabpfnAvatar de PriorLabs

    PriorLabs/TabPFN

    7,408Voir sur GitHub↗

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

    Pythondata-sciencefoundation-modelsmachine-learning
    Voir sur GitHub↗7,408
  • ericlbuehler/mistral.rsAvatar de EricLBuehler

    EricLBuehler/mistral.rs

    6,597Voir sur GitHub↗

    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
    Voir sur GitHub↗6,597
  • katanemo/planoAvatar de katanemo

    katanemo/plano

    5,120Voir sur GitHub↗

    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
    Voir sur GitHub↗5,120
  • vllm-project/semantic-routerAvatar de vllm-project

    vllm-project/semantic-router

    3,205Voir sur GitHub↗

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

    Goai-gatewaybert-classificationfine-tuning
    Voir sur GitHub↗3,205
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  2. Data & Databases
  3. Model-as-a-Table Integrations
  4. Request Routing by Model ID

Explorer les sous-tags

  • 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.