Quellgeist Logs MCP server

Quellgeist

First-line incident triage you can trust: ranked root-cause hypotheses where every claim cites a real evidence handle — and the agent abstains rather than guess.

Quellgeist is a model-agnostic AI agent for first-line production-incident triage. It runs a legible JSON-action ReAct loop over read-only tools (structured logs + recent deploys + metric time-series), then emits a structured Diagnosis: confidence-ranked root-cause hypotheses, each backed by a structured evidence handle (LogRef.id / CommitRef.sha / MetricRef.id) the agent actually saw — never free text. Two ideas set it apart:

so a fabricated citation is measurable and deterministically rejected by a keyless fabrication check — not a matter of fuzzy string-matching.

• Cite-by-structured-handle. Evidence is a checkable handle, not a sentence,

possible answer, so "insufficient evidence" is a first-class outcome.

• Abstain-over-hallucinate. A confidently-stated wrong cause is the worst

Status: Wave 4 complete — the fine-tune works. The DR-0020 QLoRA fine-tune

of the local reasoner (Qwen3-4B, served via Ollama) took it from the base's

0/16 holdout to 12/16 — zero fabrication, zero speculative-filtering, and

cheaper than the base — while beating a 31B frontier (Gemma-4-31B, 10/16)

on the same holdout at $0, fully offline. Non-memorisation is triangulated

three ways (fixtures ≈ holdout; core-fresh ≥ core-overlap; structure probe 7/10).

Two honest limits: the resource_exhaustion class didn't transfer (0/N; the

frontier passes it), and adversarial-abstention recall is 6/12 at the system

level — a ceiling the 31B frontier shares (also 6/12), not a fine-tune

regression. When this agent misses it's incomplete or too cautious, never

confidently fabricating. See

Status & roadmap · fine-tune case study.

Why it's different

What it is / what it's NOT

Shortened. The full README is on GitHub.