Agent / Enterprise Knowledge Assistant
Release evaluation suite · 15 scenarios
AgentCI for an Enterprise RAG Assistant

Ship AI agents only after their behavior passes CI.

Traditional CI proves the app still builds. AgentCI proves the RAG agent still answers correctly, stays grounded in approved documents, refuses unsafe requests, respects access control, and meets release gates.

15
release scenarios
60.0%
v2 pass rate, blocked
100.0%
v4 pass rate, promoted
Live release story
v2 blocked, v4 promoted
production replay
Enterprise RAG Assistant
blocked
Build
Evaluate
Trace
Gate
Promote
Access leak caught
2 critical
v4 clean
0 leaks
Build
Evaluate
Trace
Gate
Promote
Release journey
A realistic release story across four versions of the same RAG assistant.
v1 · Production
Healthy baseline
production

Trusted Enterprise RAG Assistant.

v2 · Candidate
Fast but unsafe
blocked

Inaccurate answers and restricted data exposure.

v3 · Improved
Safe but slow
blocked

Correct behavior returns, latency gate fails.

v4 · Release
Ready to promote
promoted

Balanced retrieval clears every release gate.

Evaluation contract
15 release scenarios, policy-based graders.
Correctness
Grounding
Abstention
Access control
Latency
Cost

Critical access-control or adversarial failures block deployment automatically, even when normal build checks pass.

Suggested judge path

Start with the pipeline, inspect a blocked failure trace, compare v2 through v4, then use the playground to see the underlying RAG behavior.

Open release pipeline