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Torrix, self hosted, LLM Observability,(no Postgres, no Redis)

Details

External ID
48120912
Source
HN
Company
—
Product
Torrix, self hosted, LLM Observability,(no Postgres, no Redis)
Website domain
github.com
Launched
May 13, 2026
Cohort
—
Upvotes
74
Upvotes percentile
0.8747980613893377
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

I 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 upNo external dependencies. All data stays in a local SQLite file on your machine.It logs LLM calls through a HTTP proxy or a python/Node SDK : tokens, cost, latency, full prompt and response traces, reasoning token capture. Works with OpenAI, Anthropic, Gemini, Groq, Mistral, Azure Open AI and any Apen AI compatible end point.Things I added as I actually used it on real agent pipelines: cost forecasting and hard budget caps, PII masking, model routing rules, evals with golden runs, AI judge, a prompt library with version history, run tags for filtering by environment, MCP server so AI Assistants can query your own logs and OTLP/HTTP ingestion for apps aöready using OpenTelemetry.Community edition is free for one user with 7-day retention. Pro adds teams, RBAC, 30 day retention, API key management, full text search and audit logs.SQLite doesn't scale to high write throughput. This is aimed at teams logging hundreds to low thousands of LLM calls per day, not millions. Happy to hear what people think and what is missing.GitHub / install: https://github.com/torrix-ai/install Website: https://www.torrix.ai

Enrichment

Theme
database infrastructure and developer tools
Vertical
Horizontal
Function
Observability & eval
Audience
Developer
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
self-hosted llm observability platform
Manually corrected
False

Could you build this?

Yes A self-hosted, dependency-light observability tool can be built using an embedded database like SQLite or DuckDB with an HTTP API server and a clean dashboard UI.

Discussion

4 comments analyzed.

Competitors mentioned: GPT models

Feature requests: Demo video, Hands-on demo before local installation

Competitors

Other products that read as similar to this one — 149 launches clear the similarity bar, closest 8 shown.

Attention rank: #24 of 150 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 191 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a observability & eval tool for Media & entertainment yet.