LLMTrace
Know which commit blew up your LLM bill
LLMTrace launched on May 30, 2026 with 7 votes, #1,574 of 20,538 launches that month and more than 90% of that year's launches.
What it does
Every LLM observability tool shows you that costs spiked. None of them tell you which deploy caused it. LLMTrace is a self-hosted Go proxy that sits in front of your Anthropic/OpenAI calls and logs every request with cost, user, and deploy SHA into your own Postgres. When your bill jumps, you can point to the exact commit. No SaaS, no data leaving your infra. Drop in the docker-compose and you're logging in under 5 minutes.
Self-hosted LLM proxy with cost ledger and deploy-to-spend causal attribution - Yatsuiii/llmtrace
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Inferock BenchAug 2026 · github.com · ▲295Local LLM cost-tracking proxy for OpenAI, Anthropic, Gemini, and pinned OpenRouter calls with token usage, failure, and billing-integrity receipts. - inferock/inferock-bench
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- ATA tool to benchmark LLM APIs (OpenAI, Claude, local/self-hosted)2025 · llmapitest.com · ▲55
I recently built a small open-source tool to benchmark different LLM API endpoints — including OpenAI, Claude, and self-hosted models (like llama.cpp). It runs a configurable number of test requests and reports two key metrics: • First-token latency (ms): How long it takes for the first token to appear • Output speed (tokens/sec): Overall output fluency Demo: https://llmapitest.com/ Code: https://github.com/qjr87/llm-api-test The goal is to provide a simple, visual, and reproducible way to evaluate performance across different LLM providers, including…
Torrix, self hosted, LLM Observability,(no Postgres, no Redis)May 2026 · github.com · ▲74I work as a SAP Integration consultant and built this as a side project. Friction point: Most self hosted LLM observability tools require Postgres, Redis and non trivial infrastructure. Teams just want to see what their agents are actually doing in Production, that set up cost discorages adoption. Torrix runs as a single docker contained backed by SQLite. The full install is: curl -o docker-compose.yml https://raw.githubusercontent.com/torrix-ai/install/main/doc... docker compose up No external dependencies. All data stays in a local SQLite file on your machine.…
Llmtop – Htop for LLM Inference Clusters (vLLM, SGLang, Ollama, llama)Mar 2026 · github.com · ▲5I work on inference scheduling — KV cache-aware routing, load balancing across GPU workers, that kind of thing. I wanted something like k9s but for my inference stack. Nothing existed, so I built it. llmtop is a real-time terminal dashboard for LLM inference workers. It scrapes the Prometheus /metrics endpoints that vLLM, SGLang, and LMCache already expose and shows everything in one view: KV cache usage, queue depth, TTFT/ITL latencies (P50/P99 from histogram buckets), token throughput, prefix cache hit rates. Color-coded — red means go fix it. ``` brew install…
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