Watch everyprompt, everytoken, every retry.
Argus is the observability layer for LLM-shaped workloads. Trace each agent step, score each response, replay each span. Find the bad agent before your customer does.
Four panels. Twenty-four eyes.
Argus is built like a NOC console. Every panel queries the same span store, every panel can drill to a single token.
A queryable graph of every prompt, tool call, retry, and grading step. Filter to a single customer in milliseconds.
Three teams. One console.
Incident response, quality drift, cost surveillance. Three jobs that used to live in three tools. Now one timeline.
From customer ticket to root cause in eight minutes.
Argus reconstructs the whole agent run — every prompt, every tool call, every retry — and surfaces the divergent step. The 3am debug stops being a tradition.
Catch a regression before customer support does.
Score every production response against your rubric. When the line moves, Argus pages the right team and attaches the offending sample. No spreadsheet required.
Find the prompt that quietly tripled your bill.
Per-prompt, per-model, per-customer cost roll-ups. The expensive outlier rises to the top of the list, with the offending input attached.
APM treats LLMs as a black box. We don't.
“Argus turned an opaque agent into a debuggable program. We close incidents in single-digit minutes now.”
Spans are cheap. Outages are not.
For solo developers and prototypes.
- 100k spans / mo
- 7-day retention
- Single project
- Community Discord
For teams with production agents.
- 12M spans / mo
- 90-day retention
- Quality rubric runner
- Replay any span
- Slack + Linear alerts
- Business-hour support
For regulated and high-volume teams.
- Unlimited spans
- On-prem collector
- Field-level PII policy
- SAML / SCIM
- Named SRE
- 99.97% SLA
Honest answers to honest questions.
Recent ops
all releasesTrace it before it pages you.
One npm install. One env var. Hundred thousand spans on the house. No card.