Ship agent changes without guessing
Orq AI traces every agent run, scores it against your eval suites, and holds the release when a regression shows up.
From deploy to confidence in three steps
Orq AI wraps around your existing agent stack. No rewrites, no new frameworks.
Instrument your agent
Add one SDK call. Orq captures every span, tool call, and LLM turn automatically, with latency, token counts, and raw inputs and outputs.
Define your eval suite
Write metric thresholds once: coherence, grounding, latency, safety. Orq scores each run against your suite and tracks drift over time.
Gate your releases
Connect Orq to your CI pipeline. A commit that drops a metric below threshold blocks the merge, not your on-call at 2 am.
Everything your team needs to ship agent changes safely
Built for the realities of production LLM agents, not research prototypes.
Distributed tracing
See the full execution graph of every agent run. Every span linked, every tool call timed, every prompt recorded.
Automated eval scoring
LLM-as-judge and deterministic checks run on every trace. Score coherence, grounding, safety and format compliance automatically.
Release gating
Tie eval thresholds to your Git branch. Orq blocks merges when any metric regresses, before it reaches your users.
Regression alerts
Statistical anomaly detection spots metric drift between versions. Get a Slack or webhook alert before users feel the difference.
Version comparison
Side-by-side diff of any two agent versions. Compare latency percentiles, eval distributions, and token budgets at a glance.
Native integrations
Works with LangChain, LlamaIndex, OpenAI Agents SDK, Anthropic SDK, and any Python or TypeScript agent you write yourself.
12ms
Median SDK overhead added per traced run
40+
Pre-built eval metrics ready on day one
1 call
To instrument an agent and start tracing
0 rewrites
Orq wraps your existing stack, not the other way around
The problem Orq solves
Agent quality is invisible until something breaks. Orq makes it visible before the deploy.
The problem: silent regression
A prompt change ships. Grounding drops 8 points on one document format. No alert fires. A customer notices three weeks later. Orq exists to make that three-week gap zero.
What existing tools miss
Distributed tracing systems were not built for the LLM call shape. Eval frameworks run offline in notebooks. Nothing connects tracing to evals to CI in one place. That gap is what we close.
What Orq gives you instead
A trace of every run, a score on every output, and a gate in CI that blocks the merge when a metric regresses. All connected, all running automatically after one integration call.
Stop guessing what changed in your agent
Get a complete trace, eval score, and release gate running in under an hour. Free plan includes 5,000 traces per month, no card required.