Installation

Hacker News - Newest: "LLM"

The Special Token `<Think>` Problem/Bug of Latest DeepSeek LLM Client Challenge GitHub - baidu-baige/LoongForge: A modular, scalable, high-performance training framework for LLMs, VLMs, diffusion, and embodied models. LLM System Design Benchmark 3.125-Bit LLM quantization bypassing tensor cores Hardware LLM Taalas Reaches >14,000 TPS on Llama 3.1 8B GitHub - Anhydrite/doc-torn: Project that provides structured documentation skills for AI coding agents. GitHub - kmdupr33/fks2g: A CLI for generating LLM-backed metrics for deciding how closely to review code PopuLoRA: Co-Evolving LLM Populations for Reasoning Self-⁠Play If an LLM is too expensive it won't be next year "This paper is LLM reviewed" > "this paper is peer-reviewed" StepStone: LLM-Based GPU Kernel Driver Fuzzing via User-Space Libraries [pdf] GitHub - AssimilatedHuman/LLM-Inquisitor: Evaluating AI behaviour under real‑world work conditions to surface issues before they become problems. LLM INQUISITOR identifies failures (drift, instability etc) by observing AI during normal tasks — a tool the industry desperately needs to stem the 85% failure rate. Includes Quick Start, Practitioner’s Guide and Methodology. Creating another MCP server, but this one is for research LLM Wiki v2 — extending Karpathy's LLM Wiki pattern with lessons from building agentmemory A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents Sator Arepo - a Hugging Face Space by akolpakov Customizing an LLM for Enterprise Software Engineering Most AI agent papers stack one LLM with a vector store, we flipped it Evaluating job search ranking with LLM judged NDCG GitHub - quadracollision/llmisp: JSON AST > Clojure Parity Contracts for Polyglot LLM Commerce: A Case Study GitHub - ndom91/llama-dash: The operations layer for your local LLM stack Agentically optimizing LLM prompt cache TTLs for fun and profit Ask HN: What's your go-to LLM for coding? How do you reduce LLM spam in PR reviews? Ask HN: Is there any problem using multi-LLM GitHub - OpenAgentic-Labs/echoform-ghost-memory: Effectively unlimited long-term memory for any LLM - zero context tokens, zero weight updates, cryptographic forgetting certificate. PSA — Posture Sequence Analysis Why More Context Can Make an LLM Worse GitHub - robertoranon/tokoro: A toolbox for building event publish & discovery web sites, apps, feeds, and more GitHub - sermakarevich/chunker: Agentic approach to chunking a document A new EDIT tool for LLM agents LLMCap — Hard Dollar Caps on LLM API Calls MLSys @ WukLab - Nitsum: Serving Tiered LLM Requests with Adaptive Tensor Parallelism SuperInfer: SLO-Aware Rotary Scheduling and Memory Management for LLM Inference on Superchips What political censorship looks like inside an LLM's weights — a mechanistic-interpretability study of Qwen 3.5 Managing metadata is essential in LLM world Fixing LLM Writing with Distribution Fine Tuning twitter.com Show HN: An LLM that's better at writing The local shape of LLM stable regions GitHub - msunda17/impactarbiter-cli The Infrastructure Behind Making Local LLM Agents Useful PostgreSQL ext makes LLM available as an index for similarity searches,inference GitHub - Tetrahedroned/Agent-Braille: Deterministic 8-bit machine-to-machine protocol for AI agent state. ~92% fewer state-tracking tokens on real Claude Code sessions, a proven single-bit-error-safe command code, fully reproducible. Tell HN: Writing an LLM critique/takedown? – Do not use an LLM to write it 🌱 an LLM models our worst behavior Prompt eval cues predicted refusal shifts across 32k LLM rollouts Ask HN: Is Java the ideal language for LLM-assisted coding? AI Foundry – Flat-Fee Unlimited LLM Inference on Blackwell GPUs in NZ LLM tracing with MLflow AI Gateway LLM Performance by Programming Language The LLM Looked Smart. The Metrics Disagreed – tiago.rio.br The Four Horsemen of the LLM Apocalypse GitHub - piqoni/piqo-extension: A good interface is invisible Intro to TLA+ for the LLM Era: Prompt Your Way to Victory Give every tool LLM wiki and bypass Claude Code SSH Throttle The Ultimate LLM Fine-Tuning Guide Ask HN: What LLM models are you using and why? Five Agents, One Browser: Werewolf on Quack + DuckDB LLM models are not ready for orchestrating many agents ClickBook — Offline AI eReader - Apps on Google Play DeepSeek-V4-Flash means LLM steering is interesting again Recent Developments in LLM Architectures: KV Sharing, mHC, and Compressed Attention Recent Developments in LLM Architectures: KV Sharing, MHC, Compressed Attention We Built SynapseKit: The Truth About Production LLM Frameworks GitHub - albedan/ai-ml-gpu-bench: A suite to benchmark CPU/GPU Python performance in training ML models and running local LLMs GitHub - chopratejas/headroom: Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server. if you are redlining the LLM, you aren't headlining Most Meaningful Dates on the Web and for an LLM I tested 8 LLM models on Linux without using the GPU RelaxAI – UK sovereign LLM inference at 80% cheaper than OpenAI/Claude GitHub - Andyyyy64/whichllm: Find the local LLM that actually runs — and performs best — on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly. GitHub - krellixlabs/llm-reasoning-research: Curated, annotated research on reasoning gaps in large language models — temporal reasoning, causal reasoning, and beyond. Agentic evals or LLM as a judge? considering cost, time and quality Known By Their Actions: Fingerprinting LLM Browser Agents via UI Traces Add an LLM policy for `rust-lang/rust` by jyn514 · Pull Request #1040 · rust-lang/rust-forge GitHub - nimeshnayaju/markdown-parser: A streaming-capable markdown parser, written in TypeScript Dragos Documents First LLM-Assisted Strike on Water Infrastructure in Mexico Alchemize: PyMC's model to replace Stan/PyMC, etc. with an LLM BlitzGraph - The AI-native backend. Pokémon SVG Bench LLM Witch Hunts are getting F'in Irritating bliki: Interrogatory LLM Ctx-opt: TypeScript middleware to trim LLM chats to a token budget Show HN: Local-first Kubernetes YAML visualizer (no server, no LLM) Why Ruby Is the Better Language for LLM-Powered Development Paper page - Geometry Conflict: Explaining and Controlling Forgetting in LLM Continual Post-Training Show HN: Asciidia – LLM-Powered Game State media control shapes LLM behaviour by influencing training data Small Model Forensics How LLM Inference Works Multi-LLM AI trading agent harness GitHub - crawshaw/yeah: yeah: LLM-powered yes/no CLI tool Predicting Rare LLM Failures with 30× Fewer Rollouts — LessWrong Mechanism Design for Quality-Preserving LLM Advertising I tried to put an on-device LLM in an iOS Share Extension. It didn't fit Show HN: Gox – Strict static analyzer for Go designed for LLM-written code GitHub - torrix-ai/install

Installation

igor-korican · 2026-05-21 · via Hacker News - Newest: "LLM"

This guide covers how to install Kure Monitor on your Kubernetes cluster. Kure ships as a Helm chart; raw k8s/ manifests are no longer maintained.

Kubernetes cluster (1.20+)
kubectl configured to access your cluster
Helm 3.x
Cluster admin permissions

Add the repository

Section titled “Add the repository”

helm repo add kure-monitor https://nan0c0de.github.io/kure-monitor/
helm repo update

helm install kure-monitor kure-monitor/kure \
  --namespace kure-system \
  --create-namespace \
  --set postgresql.password="$(openssl rand -hex 24)"

Install with custom values

Section titled “Install with custom values”

helm install kure-monitor kure-monitor/kure \
  --namespace kure-system \
  --create-namespace \
  --set postgresql.password="$(openssl rand -hex 24)" \
  --set frontend.service.type=LoadBalancer

Install from a local checkout

Section titled “Install from a local checkout”

git clone https://github.com/Nan0C0de/kure-monitor.git
cd kure-monitor
helm install kure-monitor ./helm \
  --namespace kure-system \
  --create-namespace \
  --set postgresql.password="$(openssl rand -hex 24)"

kubectl get pods -n kure-system

Expected:

NAME                                             READY   STATUS    RESTARTS   AGE
kure-monitor-agent-xxxxx                         1/1     Running   0          1m
kure-monitor-backend-xxxxx                       1/1     Running   0          1m
kure-monitor-frontend-xxxxx                      1/1     Running   0          1m
kure-monitor-security-scanner-xxxxx              1/1     Running   0          1m
postgresql-xxxxx                                 1/1     Running   0          1m

2. Access the dashboard

Section titled “2. Access the dashboard”

Port-forward (development):

kubectl port-forward svc/kure-monitor-frontend 8080:8080 -n kure-system
# http://localhost:8080

NodePort:

kubectl get svc kure-monitor-frontend -n kure-system
# http://<node-ip>:30080

LoadBalancer:

helm upgrade kure-monitor kure-monitor/kure \
  --set frontend.service.type=LoadBalancer \
  -n kure-system

Ingress:

helm upgrade kure-monitor kure-monitor/kure \
  --set ingress.enabled=true \
  --set ingress.hosts[0].host=kure.example.com \
  -n kure-system

3. Create the initial admin

Section titled “3. Create the initial admin”

On first visit, the dashboard prompts you to create the initial admin account (username + password). After signing in, go to Admin → Users to invite further users with read, write, or admin roles.

Authentication is always on in 2.3+ and is wired up automatically by the Helm chart — there is nothing to configure at install time. The legacy auth.apiKey single-key model was removed in 2.3.0. See Authentication and the 2.2 → 2.3 migration guide for details.

4. Configure an LLM provider

Section titled “4. Configure an LLM provider”

Open the dashboard
Go to Admin Panel → AI Configuration
Pick a provider (OpenAI, Anthropic, Groq, Gemini, GitHub Copilot, or Ollama)
Enter your API key
Pick a model
Click Test Connection, then Save

See LLM Providers for the full list of supported models.

helm repo update
helm upgrade kure-monitor kure-monitor/kure -n kure-system

helm uninstall kure-monitor -n kure-system
kubectl delete namespace kure-system   # removes all data

Cloud-specific notes

Section titled “Cloud-specific notes”

helm install kure-monitor kure-monitor/kure \
  --namespace kure-system \
  --create-namespace \
  --set postgresql.password="$(openssl rand -hex 24)" \
  --set frontend.service.type=LoadBalancer \
  --set frontend.service.annotations."service\.beta\.kubernetes\.io/aws-load-balancer-type"=nlb

Requires the AWS Load Balancer Controller for LoadBalancer services.

helm install kure-monitor kure-monitor/kure \
  --namespace kure-system \
  --create-namespace \
  --set postgresql.password="$(openssl rand -hex 24)" \
  --set frontend.service.type=LoadBalancer

helm install kure-monitor kure-monitor/kure \
  --namespace kure-system \
  --create-namespace \
  --set postgresql.password="$(openssl rand -hex 24)" \
  --set frontend.service.type=LoadBalancer

helm install kure-monitor kure-monitor/kure \
  --namespace kure-system \
  --create-namespace \
  --set postgresql.password="$(openssl rand -hex 24)"
minikube service kure-monitor-frontend -n kure-system

helm install kure-monitor kure-monitor/kure \
  --namespace kure-system \
  --create-namespace \
  --set postgresql.password="$(openssl rand -hex 24)"
kubectl port-forward svc/kure-monitor-frontend 8080:8080 -n kure-system

Quick Start — fastest path to a working install
Configuration overview — Helm values reference
Troubleshooting — common install issues

此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。原文来自 — 版权归原作者所有。

推荐订阅源

Hacker News - Newest: "LLM"

Add the repository

Install with custom values

Install from a local checkout

2. Access the dashboard

3. Create the initial admin

4. Configure an LLM provider

Cloud-specific notes