dillionverma/llm.report
📊 llm.report is an open-source logging and analytics platform for OpenAI: Log your ChatGPT API requests, analyze costs, and improve your prompts. observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 35
- Longevity 87
Flags: no_releases archived
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1226
- days_rel: n/a
- days_push: 841
- n_releases_24m: 0
Adoption not part of the score
1020 stars · 86 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
llm.report is an open-source logging and analytics platform for the OpenAI API, letting users log ChatGPT API requests and responses, analyze costs and token usage, and improve prompts. It is built with Next.js/TypeScript and can be self-hosted or used via cloud.
Use cases
- track openai api costs
- log chatgpt api requests and responses
- analyze llm token usage
- improve prompts with request logs
- self-host llm observability dashboard
- monitor per-user llm api usage
When to choose
- you need a self-hosted, no-code dashboard for OpenAI API costs and logs
- you want to inspect request/response payloads to refine prompts
- you prefer an open-source alternative to paid LLM observability tools
When to avoid
- you need actively maintained software with ongoing fixes
- you use providers other than OpenAI
- you require enterprise-grade support or a sustainable vendor
Facets
service · maturity abandoned
logging monitoring analytics llm-inference prompt-engineering large-language-models analytics monitoring developer-tools artificial-intelligence self-hosted openai llmops cost-tracking token-usage nextjs observability nodejs web-server docker
1 source
- readme: https://github.com/dillionverma/llm.report · fetched 2026-08-28 · d1c6e180e33d
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| dillionverma/llm.report | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="dillionverma/llm.report")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem