B12 - Model Evaluation
| Group | Technology | Status | Service | Roadmap phase | Contracts |
|---|---|---|---|---|---|
| B - LLM management and Model Gateway | Ragas + Promptfoo | open source integrated | evaluations | 8 | evaluation-contract |
Role and responsibilities
Benchmarks candidate models and gates status promotion to approved.
Data model
Tables (schema eai, every tenant table carries tenant_id uuid NOT NULL with an RLS policy on current_setting('app.tenant_id', true)::uuid): eai.eval_runs, eai.eval_suites, eai.audit_events.
API endpoints
POST /v1/evaluations/runsGET /v1/evaluations/runs/{id}POST /v1/evaluations/gates/check
POST /v1/evaluations/runs HTTP/1.1
Host: <control-plane-host>
X-API-Key: eai_xxx_secret
Accept-Language: en
Content-Type: application/json
{"suite_id": "3a8bdb8e-858a-4619-9832-3c86fa476f2a", "trigger": "manual", "outputs": ["Refunds are accepted within 30 days of purchase."]}
{"schema_version": "1.0", "evaluation_id": "27569be4-49d7-4bb6-a7ea-b458ee836c5f", "tenant_id": "18de5695-21f9-4053-a4ea-beb4bf2a5932", "name": "support-answers", "target": {"type": "model", "ref": "fake-gpt"}, "engine": "custom", "kind": "quality", "dataset": {"ref": "support-golden", "size": 1, "digest": "sha256:0ce686fcfa2070052c234bd1db464e4994992c453859b3dad1ee3351cf26928a", "version": "1"}, "metrics": [{"name": "contains", "threshold": 0.8, "comparator": "gte"}], "gate": {"blocking": true}, "results": [{"value": 1.0, "metric": "contains", "passed": true, "samples": 1}], "status": "passed", "started_at": "2026-10-30T01:38:14.674524Z", "finished_at": "2026-10-30T01:38:14.674524Z", "cost": {"amount": "0", "currency": "USD"}, "run_id": "27569be4-49d7-4bb6-a7ea-b458ee836c5f", "suite_id": "3a8bdb8e-858a-4619-9832-3c86fa476f2a", "trigger": "manual", "case_results": [{"index": 0, "scores": {"contains": 1.0}}], "error": null}
Errors use the common envelope {"error": {"code", "message", "message_i18n", "details", "request_id"}}; lists are paginated with limit and cursor.
SDK usage
Python (enterprise_ai):
from enterprise_ai import EnterpriseAI
client = EnterpriseAI(base_url="<control-plane-url>", api_key="eai_xxx_secret")
items = client.evaluation.list_suites()
TypeScript (@enterprise-ai/sdk):
import { EnterpriseAI } from "@enterprise-ai/sdk";
const eai = new EnterpriseAI({ baseUrl: "<control-plane-url>", apiKey: process.env.EAI_API_KEY });
const items = await eai.evaluations.listSuites();
Java (enterprise-ai-java):
EnterpriseAIClient client = EnterpriseAIClient.builder()
.baseUrl("<control-plane-url>")
.apiKey(System.getenv("EAI_API_KEY"))
.build();
var items = client.evaluations().listSuites();
Go (enterprise-ai-go):
client, _ := eai.NewClient(eai.WithBaseURL("<control-plane-url>"), eai.WithAPIKey(os.Getenv("EAI_API_KEY")))
items, err := client.Evaluations.ListSuites(ctx)
Configuration
- Environment:
EAI_DATABASE_URL,EAI_OTEL_EXPORTER_OTLP_ENDPOINT. - Helm values:
controlPlane.enabled,controlPlane.replicas,controlPlane.resources,controlPlane.config.
Security controls
- Authentication by OIDC JWT, tenant API key with scopes, or SPIFFE mTLS; tenant resolved from the credential, never from the body.
- Authorization through OpenFGA and OPA decisions; every mutation and decision writes a hash-chained
eai.audit_eventsrow. - Secrets never returned by the API; TLS everywhere; Cilium network policies restrict who can reach the service.
Observability
- Metrics:
eai_model_evaluation_requests_total,eai_model_evaluation_errors_total,eai_model_evaluation_latency_seconds(Prometheus). - Traces: OpenTelemetry spans
eai.evaluations.*with W3Ctraceparentpropagation, AI spans forwarded to Opik. - Audit actions:
evaluation.suite.create,evaluation.run,evaluation.gate.check,redteam.run,policy.evaluate.
FinOps aspects
Operating cost is allocated per tenant and project through labels on Usage Events and Kubernetes resource requests; no direct per-call cost.
Failure modes and resilience
- Stateless replicas behind the API Gateway, PostgreSQL HA for state; readiness probe
GET /readyzremoves unhealthy pods. - External system unavailable: fail closed for security decisions, explicit error code, no silent bypass.
Standalone adoption (client of a client)
A client of a client can adopt this brick alone with the Python SDK sub-client client.evaluation (TS eai.evaluations, Java client.evaluations(), Go client.Evaluations). Minimal deployment: Control Plane API + PostgreSQL + Keycloak (or API keys), the Control Plane loads every domain of services/control-plane/src/eai/domains; the optional chart components are switched off in deploy/helm/enterprise-ai/values.yaml (vllm.enabled, qdrant.enabled, nats.enabled, workers.enabled).
Acceptance tests
- A tenant cannot read or modify another tenant's resources (RLS test).
- Every mutation produces an audit event verifiable by
GET /v1/audit/verify. - Errors are returned in English and French according to
Accept-Language.
A/B comparisons and baselines (LLM_-013)
POST /v1/evaluations/comparisons runs the same suite on the baseline and on the candidate (model or version) with the existing engines, then saves in eai.eval_comparisons (V138) both runs, the per metric deltas and the verdict (candidate_better, equivalent, regression, inconclusive, per tolerance). Tests: tests/test_evaluation_ab.py.