Deploy & Serve

Deploy what you built. Serve what you can audit later.

Turn experiments into stable endpoints. Version models, keep tenant isolation intact, and ship predictable HTTP contracts. Deploy is Beta: stage control and fast rollbacks are evolving, but the core contracts and artifacts stay boring and reliable.

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XALORRA DEPLOY
Serve with contracts
Stable endpoints, versioned artifacts, tenant isolation, and predictable runtime behavior.
Stable API
Versions
Rollbacks (Beta)
Stage control (Beta)
Audit / Traces
Tenant isolation

Stop shipping “demo endpoints”.
Serve production contracts from day one.

Stable APIs for model + assistant serving.
Versioning so releases stay sane.
Tenant isolation + audit trails by default.

Designed for real serving workloads

Serve models and assistants—without platform chaos.

The goal is simple: predictable behavior under load. Contracts stay stable, artifacts stay versioned, and tenant boundaries stay intact. When you ship, you know what you shipped.

Stable runtime contracts
Your endpoints behave predictably across versions. Fewer “mystery regressions.”
Versioned artifacts
Models and configs are explicit artifacts with lineage you can follow.
Tenant isolation
Boundaries are designed-in, not bolted-on. Safer by default patterns.
Deploy Surface (Beta)
Serve versioned models with predictable artifacts. Stage control and rollbacks are evolving, but the foundational contracts, tenant isolation, and artifact discipline stay stable.
Stable HTTP contracts
Artifacts
Version labels
Stage control (Beta)
Rollback (Beta)
Release with confidence

Teams that deploy versions

Deploy is not “push code and pray”. The discipline is: artifacts are pinned, version labels are explicit, and changes become visible on purpose.

Promote versions with explicit artifacts and metadata.
Avoid silent changes: what ships is what you tested.
Keep lineage clear across data → model → endpoint.
Prefer to explore first? Open Deploy.
Release Timeline
versioned
v10
baseline, validated
v11
new features, same contract
v12
promoted, artifacts pinned
Rollbacks and stage control are Beta, but artifact pinning and explicit version labels keep releases sane.
artifact
pinned
lineage
tracked
release
repeatable
Serve predictably

Teams that serve endpoints

Serving is where most platforms leak chaos. Xalorra keeps the surface boring: consistent envelopes, predictable errors, and tenant scoping by default.

Stable HTTP contracts for apps and teams.
Consistent auth + tenant scoping across everything.
Guardrails: timeouts, limits, and clear error surfaces.
Prefer to explore first? Open Deploy.
HTTP Contract
stable
POST /v1/serve/{model}?version=v12
Request: tenant scoped, predictable schema, explicit version label.
Response: consistent envelopes, stable errors, traceable artifacts.
Metadata: dataset lineage, model id, version label, runtime flags.
tenant
isolated
version
explicit
errors
boring
Govern what runs

Teams that audit traffic

If you can’t audit it, you can’t operate it. Traffic traces and artifact context turn “AI in prod” into something you can explain later.

Trace inputs/outputs with artifact + dataset context.
Keep logs readable for debugging and governance.
Know who called what, and when, per tenant.
Prefer to explore first? Open Deploy.
Audit Trail
traceable
Recent calls
tenant=org_a • model=xgb_churn • version=v12 • status=200
tenant=org_a • assistant=rag_support • version=v3 • status=200
tenant=org_b • model=logreg_risk • version=v7 • status=429
You can debug what happened later: who called what, with which artifact context, per tenant.
traffic
visible
policy
enforced
debug
faster

Deploy without drama

Stable contracts are what make “AI in production” real.

If you care about tenant isolation, versioned artifacts, and predictable endpoints, you want a serving layer that stays boring when traffic grows.