llm-d

    llm-d/llm-d-router

    #109 this week

    llm-d Router: The intelligent entry point for inference requests

    ai
    kubernetes
    networking
    gateway-api
    inference
    Go
    Apache-2.0
    428 stars
    476 forks
    428 GitHub watchers
    Updated Oct 21, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    Ranks #109 of 2,531 repositories GStars tracks this week (top 4%).

    5 releases in the last 90 days, the latest 5 days ago, with 293 contributors on GitHub.

    Peaked at #55 in the weekly ranking the week of Oct 11, its best in the past year.

    Use Cases & Benefits

    • Delivers intelligent routing and flow control for LLM inference requests using an Endpoint Picker integrated with proxies like Envoy.
    • Optimizes request placement by considering load, cache locality, and priority, enabling efficient and flexible inference traffic management.
    • Use for deploying scalable LLM inference gateways in Kubernetes environments with advanced traffic and load balancing.
    • Use for managing multi-stage inference workflows with disaggregation sidecars coordinating complex prefill and decode stages.
    • Use for integrating with L7 load balancers and cloud-managed services to unify inference and traditional workload routing.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    The llm-d Router is the intelligent entry point for inference traffic, delivering LLM load and prefix-cache aware routing, request prioritization, and advanced flow control across diverse request formats to fulfill complex serving objectives. It supports a flexible deployment model: it can run in Standalone Mode, where a self-managed Envoy proxy runs either alongside the EPP or as a separate service, or integrate with L7 load balancers—including self-managed instances (e.g., Istio, AgentGateway) and cloud-managed services (e.g., Google Cloud's Application Load Balancer)—via the Kubernetes Gateway API.

    The router achieves its intelligence through an Endpoint Picker (EPP) that integrates with production-grade proxies (such as Envoy) via the ext-proc protocol, injecting real-time signals into the data plane to optimize request placement.

    Excerpt from the llm-d/llm-d-router README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Oct 7: +2Oct 8: +4Oct 9: +3Oct 10: +8Oct 11: +3Oct 12: +2Oct 13: +1Oct 16: +4Oct 17: +7Oct 18: +4Oct 19: +3Oct 20: +1Oct 21: +2Oct 22: +4

    +54 stars over 16 days across 16 snapshot days; best day +8 on Oct 10.

    Forks

    476+58

    Open issues

    381+41

    Compared with peers in AI

    Fastest-growing repositories GStars tracks in this cohort for the week of Oct 18, by 7-day star growth

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