Overview
A claims prompt change is not a release decision.
Prompt versioning records what changed in a policyholder-facing response. An experiment candidate binds that version to a model, dataset, and evaluator. Evaluation produces evidence. A policy version evaluates that evidence; only then does BHANUJ Platform persist a GovernanceDecision.
Claims prompt v1.0Claims prompt v1.1Release candidateEvaluation evidencePolicy v1GovernanceDecisionAPPROVED / BLOCKEDEvidence graph + lineage
Seeded data is the baseline
The local seed supplies stable prompt versions, candidates, runs, metrics, and graph relationships.
New records are production-shaped
This walkthrough creates and activates a policy version, then persists a new decision through the public REST API.
Seeded baseline
Start with durable history, not a fabricated test result.
Start the local BHANUJ OSS stack. It provisions Keycloak and seeds a tenant-scoped prompt history that this guide uses as a claims-triage baseline: demo-prompt-support-v1 at v1.0 and demo-prompt-support-v2 at v1.1. The v1.1 candidate has completed mock evaluation evidence.
terminal · BHANUJ OSS
git clone https://github.com/Bhanuj-AI/ai-governance-oss.git
cd ai-governance-oss
AI_GOVERNANCE_AUTO_SEED_DEMO_DATA=true ./servers.shterminal · authenticated local session
set -a
. ./.env.oauth.generated
set +a
export API=http://localhost:8000
export AI_GOVERNANCE_DEMO_TOKEN="$(uv run python -c '
from ai_governance.oauth import access_token_from_environment
token = access_token_from_environment()
assert token, "AI_GOVERNANCE_OAUTH_* credentials are required"
print(token)
')"
AUTH=(
-H "Authorization: Bearer $AI_GOVERNANCE_DEMO_TOKEN"
-H "X-AI-Governance-Project-Id: project_default"
)terminal · list prompt versions
curl --fail-with-body "${AUTH[@]}" "$API/api/v1/prompts" | jq .Response
Copyable response shape. Generated IDs and timestamps will differ in your environment.
response.json
[
{
"prompt_id": "demo-prompt-support-v1",
"name": "Demo Support Assistant",
"version": "v1.0",
"variables": [
"context",
"question"
],
"created_at": "2026-08-15T10:37:59.657194Z",
"created_by": "studio-demo",
"status": "ACTIVE",
"provenance": "MANAGED",
"source_system": null,
"source_reference": null,
"content_hash": null,
"content_available": true
},
{
"prompt_id": "demo-prompt-support-v2",
"name": "Demo Support Assistant",
"version": "v1.1",
"variables": [
"context",
"question"
],
"created_at": "2026-08-15T10:37:59.657194Z",
"created_by": "studio-demo",
"status": "ACTIVE",
"provenance": "MANAGED",
"source_system": null,
"source_reference": null,
"content_hash": null,
"content_available": true
},
{
"prompt_id": "f7dcee0b-6a48-5cab-a89b-3be661d3a98c",
"name": "walkthrough-support-assistant",
"version": "v1",
"variables": [
"question",
"context"
],
"created_at": "2026-08-15T10:33:23.213013Z",
"created_by": "d1e03a3c-49d3-42d0-bc0d-b8469dcf8926",
"status": "ACTIVE",
"provenance": "OBSERVED",
"source_system": "ai-governance-walkthrough",
"source_reference": "governed-replay:v1",
"content_hash": "sha256:3324abeafeff9bd07bc2c5dbcd16abb821d9eb1a73b9d76a9c75b1691fb2a8fd",
"content_available": true
}
]terminal · list claims-triage candidates
curl --fail-with-body "${AUTH[@]}" "$API/api/v1/experiments/demo-experiment-02/candidates" | jq .Response
Copyable response shape. Generated IDs and timestamps will differ in your environment.
response.json
[
{
"candidate_id": "demo-experiment-02-baseline",
"experiment_id": "demo-experiment-02",
"candidate_name": "Claims Triage Prompt Benchmark · Baseline",
"prompt_id": "demo-prompt-support-v1",
"prompt_version": "v1.0",
"model_id": "demo-model-general-v1",
"model_version": "2026.01",
"dataset_id": "demo-dataset-evaluation",
"dataset_version": "v1.0",
"provider_name": "mock",
"provider_installation_id": null,
"runtime_connection_id": null,
"runtime_parameters": {
"temperature": 0.0,
"top_p": 1.0,
"max_tokens": 1024
},
"metadata": {
"seeded": true,
"variant": "baseline"
},
"created_at": "2026-08-11T10:37:59.633004Z"
},
{
"candidate_id": "demo-experiment-02-optimized",
"experiment_id": "demo-experiment-02",
"candidate_name": "Claims Triage Prompt Benchmark · Optimized",
"prompt_id": "demo-prompt-support-v2",
"prompt_version": "v1.1",
"model_id": "demo-model-general-v2",
"model_version": "2026.02",
"dataset_id": "demo-dataset-evaluation",
"dataset_version": "v1.0",
"provider_name": "mock",
"provider_installation_id": null,
"runtime_connection_id": null,
"runtime_parameters": {
"temperature": 0.2,
"top_p": 1.0,
"max_tokens": 1024
},
"metadata": {
"seeded": true,
"variant": "optimized"
},
"created_at": "2026-08-11T10:37:59.633004Z"
}
]The guide uses demo-experiment-02-optimized from the seeded Claims Triage Prompt Benchmark, which references the v1.1 prompt. The demo- IDs are intentionally fixed test fixtures; every new record created by the walkthrough uses claims-release naming.
Versioned policy
Create and activate the release rule.
The policy targets Candidate and evaluates a field from the supported policy schema: metrics.answer_relevance.score. A fresh name makes the command safe to repeat without overwriting a prior policy.
terminal · create policy draft
RUN_ID="claims-triage-prompt-release-$(date +%s)"
POLICY=$(jq -n --arg run_id "$RUN_ID" '{
name: "Claims Triage Prompt Release \($run_id)",
description: "Approve a policyholder claims-response prompt only when answer relevance meets the release threshold.",
organization_id: "org_default",
project_id: "project_default",
category: "PROMPT_SAFETY",
owner: "claims-ai-release-engineering",
created_by: "guide-user",
target_types: ["Candidate"],
rules: [{
rule_id: "approve-evaluated-candidate",
name: "Approve claims-response candidate above relevance threshold",
conditions: [{
field_path: "metrics.answer_relevance.score",
operator: "GREATER_THAN_OR_EQUAL",
expected_value: 0.80
}],
effect: "APPROVE",
reason_template: "Answer relevance satisfies the claims-response release threshold.",
priority: 100,
severity: "LOW"
}]
}' | curl --fail-with-body -sS -X POST "${AUTH[@]}" -H 'Content-Type: application/json' "$API/api/v1/policies" --data @-)
POLICY_ID="$(printf '%s' "$POLICY" | jq -r '.policy_id')"
POLICY_VERSION="$(printf '%s' "$POLICY" | jq -r '.draft_version.version')"Response
Copyable response shape. Generated IDs and timestamps will differ in your environment.
response.json
{
"policy_id": "fe99b21a-1937-43fb-baa8-5926b3c67805",
"name": "Claims Triage Prompt Release claims-triage-prompt-release-1789555682",
"description": "Approve a policyholder claims-response prompt only when answer relevance meets the release threshold.",
"organization_id": "org_default",
"project_id": "project_default",
"category": "PROMPT_SAFETY",
"owner": "claims-ai-release-engineering",
"created_by": "guide-user",
"created_at": "2026-09-16T10:48:23.822098Z",
"updated_at": "2026-09-16T10:48:23.822098Z",
"active_version": null,
"draft_version": {
"policy_id": "fe99b21a-1937-43fb-baa8-5926b3c67805",
"version": "1",
"status": "DRAFT",
"target_types": [
"Candidate"
],
"rules": [
{
"rule_id": "approve-evaluated-candidate",
"name": "Approve claims-response candidate above relevance threshold",
"priority": 100,
"effect": "APPROVE",
"reason_template": "Answer relevance satisfies the claims-response release threshold.",
"severity": "LOW",
"conditions": [
{
"field_path": "metrics.answer_relevance.score",
"operator": "GREATER_THAN_OR_EQUAL",
"expected_value": 0.8,
"metadata": {}
}
],
"metadata": {
"severity": "LOW"
}
}
],
"created_by": "guide-user",
"created_at": "2026-09-16T10:48:23.822098Z",
"activated_at": null,
"deprecated_at": null,
"archived_at": null,
"metadata": {}
},
"versions": [
{
"policy_id": "fe99b21a-1937-43fb-baa8-5926b3c67805",
"version": "1",
"status": "DRAFT",
"target_types": [
"Candidate"
],
"created_by": "guide-user",
"created_at": "2026-09-16T10:48:23.822098Z",
"activated_at": null,
"deprecated_at": null,
"archived_at": null
}
],
"metadata": {}
}terminal · activate policy version
curl --fail-with-body -X POST "${AUTH[@]}" -H 'Content-Type: application/json' "$API/api/v1/policies/$POLICY_ID/versions/$POLICY_VERSION/activate" --data '{"activated_by":"guide-user"}' | jq .Response
Copyable response shape. Generated IDs and timestamps will differ in your environment.
response.json
{
"policy_id": "fe99b21a-1937-43fb-baa8-5926b3c67805",
"name": "Claims Triage Prompt Release claims-triage-prompt-release-1789555682",
"description": "Approve a policyholder claims-response prompt only when answer relevance meets the release threshold.",
"organization_id": "org_default",
"project_id": "project_default",
"category": "PROMPT_SAFETY",
"owner": "claims-ai-release-engineering",
"created_by": "guide-user",
"created_at": "2026-09-16T10:48:23.822098Z",
"updated_at": "2026-09-16T10:49:17.920544Z",
"active_version": {
"policy_id": "fe99b21a-1937-43fb-baa8-5926b3c67805",
"version": "1",
"status": "ACTIVE",
"target_types": [
"Candidate"
],
"rules": [
{
"rule_id": "approve-evaluated-candidate",
"name": "Approve claims-response candidate above relevance threshold",
"priority": 100,
"effect": "APPROVE",
"reason_template": "Answer relevance satisfies the claims-response release threshold.",
"severity": "LOW",
"conditions": [
{
"field_path": "metrics.answer_relevance.score",
"operator": "GREATER_THAN_OR_EQUAL",
"expected_value": 0.8,
"metadata": {}
}
],
"metadata": {
"severity": "LOW"
}
}
],
"created_by": "guide-user",
"created_at": "2026-09-16T10:48:23.822098Z",
"activated_at": "2026-09-16T10:49:17.916133Z",
"deprecated_at": null,
"archived_at": null,
"metadata": {
"activated_by": "guide-user"
}
},
"draft_version": null,
"versions": [
{
"policy_id": "fe99b21a-1937-43fb-baa8-5926b3c67805",
"version": "1",
"status": "ACTIVE",
"target_types": [
"Candidate"
],
"created_by": "guide-user",
"created_at": "2026-09-16T10:48:23.822098Z",
"activated_at": "2026-09-16T10:49:17.916133Z",
"deprecated_at": null,
"archived_at": null
}
],
"metadata": {}
}Why this is versioned: the API creates an initial draft version and the activate call makes that exact policy content effective. A later threshold change is a new policy version, not an edit to the decision's historical rule.
Governance decision
Evaluate evidence; persist the outcome.
This call evaluates the same immutable claims-triage candidate evidence against the activated policy and persists a deterministic GovernanceDecision. The seeded answer relevance is 0.84, so the 0.80 rule returns APPROVED.
terminal · evaluate candidate
DECISION=$(jq -n --arg policy_id "$POLICY_ID" --arg run_id "$RUN_ID" '{
target_type: "Candidate",
target_id: "demo-experiment-02-optimized",
decision_type: "APPROVE",
policy_ids: [$policy_id],
correlation_id: $run_id,
request_id: $run_id,
metadata: {source: "developer-guide"}
}' | curl --fail-with-body -sS -X POST "${AUTH[@]}" -H 'Content-Type: application/json' "$API/api/v1/decisions/evaluate" --data @-)
DECISION_ID="$(printf '%s' "$DECISION" | jq -r '.decision.decision_id')"
printf 'Governance decision: %s\n' "$DECISION_ID"
printf '%s' "$DECISION" | jq '{status: .decision.status, policy_outcomes: .policy_outcomes}'Response
Copyable response shape. Generated IDs and timestamps will differ in your environment.
response.json
{
"status": "APPROVED",
"policy_outcomes": [
{
"policy_id": "fe99b21a-1937-43fb-baa8-5926b3c67805",
"policy_version": "1",
"matched_rule_id": "approve-evaluated-candidate",
"effect": "APPROVE",
"reason": "Answer relevance satisfies the claims-response release threshold.",
"matched": true,
"metadata": {
"rule_priority": 100
}
}
]
}To block the same candidate, create a later policy version with a higher threshold and a BLOCK effect, activate it, then submit a new decision request ID. The prior APPROVED decision remains immutable and reviewable.
Evidence and lineage
Inspect the decision, not just its label.
Use the decision ID returned above in Studio's Governance Decisions page, or query the public API. The detail response records the policy outcome and audit record; the evidence endpoint rebuilds the evidence graph; lineage returns the ontology subgraph around that exact decision.
terminal · decision detail
curl --fail-with-body "${AUTH[@]}" "$API/api/v1/decisions/$DECISION_ID/detail" | jq .
Response
Copyable response shape. Generated IDs and timestamps will differ in your environment.
response.json
{
"decision": {
"decision_id": "decision:Candidate:demo-experiment-02-optimized:APPROVE:ebb5765f8f880524",
"decision_type": "APPROVE",
"status": "APPROVED",
"target": {
"target_type": "Candidate",
"target_id": "demo-experiment-02-optimized"
},
"reason": "Answer relevance satisfies the claims-response release threshold.",
"confidence": "HIGH",
"evidence": [
{
"evidence_type": "EvaluationResult",
"evidence_id": "demo-experiment-02-optimized-evaluation",
"relationship_type": null,
"source": "governance-reasoning-engine",
"metadata": {}
},
{
"evidence_type": "Leaderboard",
"evidence_id": "demo-experiment-02-leaderboard",
"relationship_type": null,
"source": "governance-reasoning-engine",
"metadata": {}
},
{
"evidence_type": "Metric",
"evidence_id": "metric:demo-experiment-02-optimized-evaluation:answer_relevance",
"relationship_type": null,
"source": "governance-reasoning-engine",
"metadata": {}
},
{
"evidence_type": "Metric",
"evidence_id": "metric:demo-experiment-02-optimized-evaluation:cost",
"relationship_type": null,
"source": "governance-reasoning-engine",
"metadata": {}
},
{
"evidence_type": "Metric",
"evidence_id": "metric:demo-experiment-02-optimized-evaluation:groundedness",
"relationship_type": null,
"source": "governance-reasoning-engine",
"metadata": {}
},
{
"evidence_type": "Metric",
"evidence_id": "metric:demo-experiment-02-optimized-evaluation:latency",
"relationship_type": null,
"source": "governance-reasoning-engine",
"metadata": {}
},
{
"evidence_type": "Metric",
"evidence_id": "metric:demo-experiment-02-optimized-evaluation:overall_score",
"relationship_type": null,
"source": "governance-reasoning-engine",
"metadata": {}
},
{
"evidence_type": "MissingEvidence",
"evidence_id": "725d77ea47d53816",
"relationship_type": null,
"source": "governance-reasoning-engine",
"metadata": {
"missing_evidence_type": "Policy",
"severity": "INFO"
}
}
],
"policies": [
{
"policy_id": "fe99b21a-1937-43fb-baa8-5926b3c67805",
"policy_version": "1",
"policy_name": "Claims Triage Prompt Release claims-triage-prompt-release-1789555682",
"metadata": {}
}
],
"provenance": {
"producer_type": "POLICY_ENGINE",
"producer_id": "ai-governance-governance-reasoning-engine",
"actor_id": null,
"correlation_id": "claims-triage-prompt-release-1789555682",
"request_id": "claims-triage-prompt-release-1789555682",
"created_at": "1970-01-01T00:00:00Z"
},
"supersession": {
"supersedes_decision_id": null,
"superseded_by_decision_id": null,
"supersession_reason": null
},
"metadata": {
"source": "developer-guide"
},
"finalized_at": null,
"archived_at": null
},
"evidence_summary": {
"target_type": "Candidate",
"target_id": "demo-experiment-02-optimized",
"metric_scores": {
"answer_relevance": 0.8400000000000001,
"cost": 0.005,
"groundedness": 0.8500000000000001,
"latency": 26.0,
"overall_score": 0.8300000000000001
},
"metric_failures": [],
"threshold_breaches": [],
"drift_severity": null,
"latest_job_status": null,
"latest_audit_status": null,
"evaluation_result_ids": [
"demo-experiment-02-optimized-evaluation"
],
"metric_ids": [
"metric:demo-experiment-02-optimized-evaluation:answer_relevance",
"metric:demo-experiment-02-optimized-evaluation:cost",
"metric:demo-experiment-02-optimized-evaluation:groundedness",
"metric:demo-experiment-02-optimized-evaluation:latency",
"metric:demo-experiment-02-optimized-evaluation:overall_score"
],
"drift_analysis_ids": [],
"leaderboard_ids": [
"demo-experiment-02-leaderboard"
],
"job_ids": [],
"mcp_audit_ids": [],
"policy_ids": [],
"missing_evidence": [
{
"evidence_type": "Policy",
"reason": "No policy reference is connected.",
"severity": "INFO",
"metadata": {}
}
],
"metadata": {
"depth": 3,
"limit": 500,
"target_found": true
}
},
"policy_outcomes": [
{
"policy_id": "fe99b21a-1937-43fb-baa8-5926b3c67805",
"policy_version": "1",
"matched_rule_id": "approve-evaluated-candidate",
"effect": "APPROVE",
"reason": "Answer relevance satisfies the claims-response release threshold.",
"matched": true,
"metadata": {
"rule_priority": 100
}
}
],
"audit_records": [
{
"audit_id": "519fd801-64ea-4db6-8d69-2e1e32591f5e",
"decision_id": "decision:Candidate:demo-experiment-02-optimized:APPROVE:ebb5765f8f880524",
"action": "CREATED",
"producer_id": "ai-governance-governance-reasoning-engine",
"reason": "Decision evaluated through public API.",
"actor_id": null,
"correlation_id": "claims-triage-prompt-release-1789555682",
"request_id": "claims-triage-prompt-release-1789555682",
"created_at": "2026-09-16T10:49:32.359135Z",
"metadata": {}
}
]
}terminal · decision evidence graph
curl --fail-with-body "${AUTH[@]}" "$API/api/v1/decisions/$DECISION_ID/evidence" | jq .
Response
Copyable response shape. Generated IDs and timestamps will differ in your environment.
response.json
{
"decision_id": "decision:Candidate:demo-experiment-02-optimized:APPROVE:ebb5765f8f880524",
"evidence_references": [
{
"evidence_type": "EvaluationResult",
"evidence_id": "demo-experiment-02-optimized-evaluation",
"relationship_type": null,
"source": "governance-reasoning-engine",
"metadata": {}
},
{
"evidence_type": "Leaderboard",
"evidence_id": "demo-experiment-02-leaderboard",
"relationship_type": null,
"source": "governance-reasoning-engine",
"metadata": {}
},
{
"evidence_type": "Metric",
"evidence_id": "metric:demo-experiment-02-optimized-evaluation:answer_relevance",
"relationship_type": null,
"source": "governance-reasoning-engine",
"metadata": {}
},
{
"evidence_type": "Metric",
"evidence_id": "metric:demo-experiment-02-optimized-evaluation:cost",
"relationship_type": null,
"source": "governance-reasoning-engine",
"metadata": {}
},
{
"evidence_type": "Metric",
"evidence_id": "metric:demo-experiment-02-optimized-evaluation:groundedness",
"relationship_type": null,
"source": "governance-reasoning-engine",
"metadata": {}
},
{
"evidence_type": "Metric",
"evidence_id": "metric:demo-experiment-02-optimized-evaluation:latency",
"relationship_type": null,
"source": "governance-reasoning-engine",
"metadata": {}
},
{
"evidence_type": "Metric",
"evidence_id": "metric:demo-experiment-02-optimized-evaluation:overall_score",
"relationship_type": null,
"source": "governance-reasoning-engine",
"metadata": {}
},
{
"evidence_type": "MissingEvidence",
"evidence_id": "725d77ea47d53816",
"relationship_type": null,
"source": "governance-reasoning-engine",
"metadata": {
"missing_evidence_type": "Policy",
"severity": "INFO"
}
}
],
"evidence_graph": {
"target_type": "Candidate",
"target_id": "demo-experiment-02-optimized",
"nodes": [
{
"entity_type": "Candidate",
"entity_id": "demo-experiment-02-baseline",
"label": "Claims Triage Prompt Benchmark · Baseline",
"lifecycle": "CREATED",
"attributes": {
"candidate_id": "demo-experiment-02-baseline",
"dataset_id": "demo-dataset-evaluation",
"dataset_version": "v1.0",
"evaluation_provider": "mock",
"experiment_id": "demo-experiment-02",
"max_tokens": 1024,
"metadata": {
"seeded": true,
"variant": "baseline"
},
"model_id": "demo-model-general-v1",
"model_version": "2026.01",
"name": "Claims Triage Prompt Benchmark · Baseline",
"prompt_id": "demo-prompt-support-v1",
"prompt_version": "v1.0",
"temperature": 0.0,
"top_p": 1.0
},
"metadata": {
"last_synchronized_at": "2026-09-16T10:46:51.808326+00:00",
"projection_hash": "c4f2da2d0a9eaa8456f11ac5f7e7c43211af5b18f9d327d09a5fbd028625eabd",
"projection_source": "experiment_candidate_service",
"projection_version": "1.0.0",
"relationship_set_hash": "f987e5a7dfc10c279c97b2a92669262842396db70b9dbf77b08cadea2f6e6de6",
"synchronized_from": "experiment_candidate_service"
}
},
{
"entity_type": "Candidate",
"entity_id": "demo-experiment-02-optimized",
"label": "Claims Triage Prompt Benchmark · Optimized",
"lifecycle": "CREATED",
"attributes": {
"candidate_id": "demo-experiment-02-optimized",
"dataset_id": "demo-dataset-evaluation",
"dataset_version": "v1.0",
"evaluation_provider": "mock",
"experiment_id": "demo-experiment-02",
"max_tokens": 1024,
"metadata": {
"seeded": true,
"variant": "optimized"
},
"model_id": "demo-model-general-v2",
"model_version": "2026.02",
"name": "Claims Triage Prompt Benchmark · Optimized",
"prompt_id": "demo-prompt-support-v2",
"prompt_version": "v1.1",
"temperature": 0.2,
"top_p": 1.0
},
"metadata": {
"last_synchronized_at": "2026-09-16T10:46:51.829142+00:00",
"projection_hash": "f34b955c30ec19b759a90e00daf2ea742bc16c98e1cd1e49b2b9717e8b56b40d",
"projection_source": "experiment_candidate_service",
"projection_version": "1.0.0",
"relationship_set_hash": "6c28307a44143a7cf7bc56a2dcd2ae47e062e15df04826067904e2f346da6123",
"synchronized_from": "experiment_candidate_service"
}
},
{
"entity_type": "EvaluationResult",
"entity_id": "demo-experiment-02-optimized-evaluation",
"label": null,
"lifecycle": "COMPLETED",
"attributes": {
"evaluation_id": "demo-experiment-02-optimized-evaluation",
"evaluator_type": "mock",
"evaluator_version": "1.0",
"execution_id": "demo-experiment-02-optimized-run",
"provider_metadata": {
"seeded": true
}
},
"metadata": {
"synchronized_from": "evaluation_repository"
}
},
{
"entity_type": "EvaluationRun",
"entity_id": "demo-experiment-02-baseline-run",
"label": null,
"lifecycle": "COMPLETED",
"attributes": {
"candidate_id": "demo-experiment-02-baseline",
"dataset_version": "v1.0",
"evaluation_provider": "mock",
"experiment_id": "demo-experiment-02",
"run_id": "demo-experiment-02-baseline-run",
"completed_at": "2026-08-14T10:38:21.880382+00:00",
"evaluation_result_id": "demo-experiment-02-baseline-evaluation",
"started_at": "2026-08-14T10:37:59.880382+00:00",
"status": "COMPLETED"
},
"metadata": {
"last_synchronized_at": "2026-09-16T10:46:52.430746+00:00",
"projection_hash": "cc6234cbe4b76429ecd47b23b853aafc513519aaef3b4715c404553c2b83352d",
"projection_source": "evaluation_run_repository",
"projection_version": "1.0.0",
"relationship_set_hash": "4e5266f5a5802b217af111e76b6e5f154634569bd1a89803217bf812df16cafd",
"synchronized_from": "evaluation_run_repository"
}
},
{
"entity_type": "EvaluationRun",
"entity_id": "demo-experiment-02-optimized-run",
"label": null,
"lifecycle": "COMPLETED",
"attributes": {
"candidate_id": "demo-experiment-02-optimized",
"dataset_version": "v1.0",
"evaluation_provider": "mock",
"experiment_id": "demo-experiment-02",
"run_id": "demo-experiment-02-optimized-run",
"completed_at": "2026-08-13T10:38:25.880382+00:00",
"evaluation_result_id": "demo-experiment-02-optimized-evaluation",
"started_at": "2026-08-13T10:37:59.880382+00:00",
"status": "COMPLETED"
},
"metadata": {
"last_synchronized_at": "2026-09-16T10:46:52.443536+00:00",
"projection_hash": "eb3167a83605642a738bb864760614f2475634c057657f925f6f4d12e05e656d",
"projection_source": "evaluation_run_repository",
"projection_version": "1.0.0",
"relationship_set_hash": "d9070ee01dd0cd9a24d29ab548fc54ec3568b441fbea5606a969cfff0be8bc5b",
"synchronized_from": "evaluation_run_repository"
}
},
{
"entity_type": "Leaderboard",
"entity_id": "demo-experiment-02-leaderboard",
"label": null,
"lifecycle": "GENERATED",
"attributes": {
"experiment_id": "demo-experiment-02",
"generated_at": "2026-08-15T10:37:59.880382+00:00",
"leaderboard_id": "demo-experiment-02-leaderboard",
"ranking_strategy": "overall_score"
},
"metadata": {
"last_synchronized_at": "2026-09-16T10:46:52.683784+00:00",
"projection_hash": "3d4af77b39c266fd7fed8d233e0418549c16e40d91dce5d771e3cb6733b3cb9b",
"projection_source": "leaderboard_repository",
"projection_version": "1.0.0",
"relationship_set_hash": "65ec277e1f8bf97ee155690c79886da84da4f8eb2888ec800723145ee9ecba11",
"synchronized_from": "leaderboard_repository"
}
},
{
"entity_type": "LeaderboardEntry",
"entity_id": "demo-experiment-02-leaderboard-entry-1",
"label": null,
"lifecycle": "RANKED",
"attributes": {
"candidate_id": "demo-experiment-02-baseline",
"cost": 0.0025,
"latency": 22.0,
"metrics": {
"answer_relevance": 0.92,
"groundedness": 0.93
},
"overall_score": 0.91,
"rank": 1,
"reason": "Seeded completed evaluation evidence."
},
"metadata": {
"synchronized_from": "leaderboard_repository"
}
},
{
"entity_type": "LeaderboardEntry",
"entity_id": "demo-experiment-02-leaderboard-entry-2",
"label": null,
"lifecycle": "RANKED",
"attributes": {
"candidate_id": "demo-experiment-02-optimized",
"cost": 0.005,
"latency": 26.0,
"metrics": {
"answer_relevance": 0.8400000000000001,
"groundedness": 0.8500000000000001
},
"overall_score": 0.8300000000000001,
"rank": 2,
"reason": "Seeded completed evaluation evidence."
},
"metadata": {
"synchronized_from": "leaderboard_repository"
}
},
{
"entity_type": "Metric",
"entity_id": "metric:demo-experiment-02-optimized-evaluation:answer_relevance",
"label": "answer_relevance",
"lifecycle": "RECORDED",
"attributes": {
"explanation": null,
"metric_name": "answer_relevance",
"metric_value": 0.8400000000000001
},
"metadata": {
"synchronized_from": "evaluation_repository"
}
},
{
"entity_type": "Metric",
"entity_id": "metric:demo-experiment-02-optimized-evaluation:cost",
"label": "cost",
"lifecycle": "RECORDED",
"attributes": {
"explanation": null,
"metric_name": "cost",
"metric_value": 0.005
},
"metadata": {
"synchronized_from": "evaluation_repository"
}
},
{
"entity_type": "Metric",
"entity_id": "metric:demo-experiment-02-optimized-evaluation:groundedness",
"label": "groundedness",
"lifecycle": "RECORDED",
"attributes": {
"explanation": null,
"metric_name": "groundedness",
"metric_value": 0.8500000000000001
},
"metadata": {
"synchronized_from": "evaluation_repository"
}
},
{
"entity_type": "Metric",
"entity_id": "metric:demo-experiment-02-optimized-evaluation:latency",
"label": "latency",
"lifecycle": "RECORDED",
"attributes": {
"explanation": null,
"metric_name": "latency",
"metric_value": 26.0
},
"metadata": {
"synchronized_from": "evaluation_repository"
}
},
{
"entity_type": "Metric",
"entity_id": "metric:demo-experiment-02-optimized-evaluation:overall_score",
"label": "overall_score",
"lifecycle": "RECORDED",
"attributes": {
"explanation": null,
"metric_name": "overall_score",
"metric_value": 0.8300000000000001
},
"metadata": {
"synchronized_from": "evaluation_repository"
}
}
],
"edges": [
{
"relationship_type": "EXECUTES",
"source_type": "EvaluationRun",
"source_id": "demo-experiment-02-optimized-run",
"target_type": "Candidate",
"target_id": "demo-experiment-02-optimized",
"metadata": {
"synchronized_from": "ontology_sync"
}
},
{
"relationship_type": "GENERATED_FROM",
"source_type": "Leaderboard",
"source_id": "demo-experiment-02-leaderboard",
"target_type": "EvaluationRun",
"target_id": "demo-experiment-02-baseline-run",
"metadata": {
"synchronized_from": "ontology_sync"
}
},
{
"relationship_type": "GENERATED_FROM",
"source_type": "Leaderboard",
"source_id": "demo-experiment-02-leaderboard",
"target_type": "EvaluationRun",
"target_id": "demo-experiment-02-optimized-run",
"metadata": {
"synchronized_from": "ontology_sync"
}
},
{
"relationship_type": "HAS_ENTRY",
"source_type": "Leaderboard",
"source_id": "demo-experiment-02-leaderboard",
"target_type": "LeaderboardEntry",
"target_id": "demo-experiment-02-leaderboard-entry-1",
"metadata": {
"synchronized_from": "ontology_sync"
}
},
{
"relationship_type": "HAS_ENTRY",
"source_type": "Leaderboard",
"source_id": "demo-experiment-02-leaderboard",
"target_type": "LeaderboardEntry",
"target_id": "demo-experiment-02-leaderboard-entry-2",
"metadata": {
"synchronized_from": "ontology_sync"
}
},
{
"relationship_type": "HAS_METRIC",
"source_type": "EvaluationResult",
"source_id": "demo-experiment-02-optimized-evaluation",
"target_type": "Metric",
"target_id": "metric:demo-experiment-02-optimized-evaluation:answer_relevance",
"metadata": {
"synchronized_from": "ontology_sync"
}
},
{
"relationship_type": "HAS_METRIC",
"source_type": "EvaluationResult",
"source_id": "demo-experiment-02-optimized-evaluation",
"target_type": "Metric",
"target_id": "metric:demo-experiment-02-optimized-evaluation:cost",
"metadata": {
"synchronized_from": "ontology_sync"
}
},
{
"relationship_type": "HAS_METRIC",
"source_type": "EvaluationResult",
"source_id": "demo-experiment-02-optimized-evaluation",
"target_type": "Metric",
"target_id": "metric:demo-experiment-02-optimized-evaluation:groundedness",
"metadata": {
"synchronized_from": "ontology_sync"
}
},
{
"relationship_type": "HAS_METRIC",
"source_type": "EvaluationResult",
"source_id": "demo-experiment-02-optimized-evaluation",
"target_type": "Metric",
"target_id": "metric:demo-experiment-02-optimized-evaluation:latency",
"metadata": {
"synchronized_from": "ontology_sync"
}
},
{
"relationship_type": "HAS_METRIC",
"source_type": "EvaluationResult",
"source_id": "demo-experiment-02-optimized-evaluation",
"target_type": "Metric",
"target_id": "metric:demo-experiment-02-optimized-evaluation:overall_score",
"metadata": {
"synchronized_from": "ontology_sync"
}
},
{
"relationship_type": "PRODUCES",
"source_type": "EvaluationRun",
"source_id": "demo-experiment-02-optimized-run",
"target_type": "EvaluationResult",
"target_id": "demo-experiment-02-optimized-evaluation",
"metadata": {
"synchronized_from": "ontology_sync"
}
},
{
"relationship_type": "RANKS",
"source_type": "LeaderboardEntry",
"source_id": "demo-experiment-02-leaderboard-entry-2",
"target_type": "Candidate",
"target_id": "demo-experiment-02-optimized",
"metadata": {
"synchronized_from": "ontology_sync"
}
},
{
"relationship_type": "RECOMMENDS",
"source_type": "Leaderboard",
"source_id": "demo-experiment-02-leaderboard",
"target_type": "Candidate",
"target_id": "demo-experiment-02-baseline",
"metadata": {
"synchronized_from": "ontology_sync"
}
}
],
"missing": [
{
"evidence_type": "Policy",
"reason": "No policy reference is connected.",
"severity": "INFO",
"metadata": {}
}
],
"metadata": {
"depth": 3,
"limit": 500,
"target_found": true
}
}
}
terminal · decision lineage
curl --fail-with-body "${AUTH[@]}" "$API/api/v1/decisions/$DECISION_ID/lineage?depth=3" | jq .Response
Copyable response shape. Generated IDs and timestamps will differ in your environment.
response.json
{
"decision": {
"decision_id": "decision:Candidate:demo-experiment-02-optimized:APPROVE:ebb5765f8f880524",
"decision_type": "APPROVE",
"status": "APPROVED",
"target": {
"target_type": "Candidate",
"target_id": "demo-experiment-02-optimized"
},
"reason": "Answer relevance satisfies the claims-response release threshold.",
"confidence": "HIGH",
"evidence": [
{
"evidence_type": "EvaluationResult",
"evidence_id": "demo-experiment-02-optimized-evaluation",
"relationship_type": null,
"source": "governance-reasoning-engine",
"metadata": {}
},
{
"evidence_type": "Leaderboard",
"evidence_id": "demo-experiment-02-leaderboard",
"relationship_type": null,
"source": "governance-reasoning-engine",
"metadata": {}
},
{
"evidence_type": "Metric",
"evidence_id": "metric:demo-experiment-02-optimized-evaluation:answer_relevance",
"relationship_type": null,
"source": "governance-reasoning-engine",
"metadata": {}
},
{
"evidence_type": "Metric",
"evidence_id": "metric:demo-experiment-02-optimized-evaluation:cost",
"relationship_type": null,
"source": "governance-reasoning-engine",
"metadata": {}
},
{
"evidence_type": "Metric",
"evidence_id": "metric:demo-experiment-02-optimized-evaluation:groundedness",
"relationship_type": null,
"source": "governance-reasoning-engine",
"metadata": {}
},
{
"evidence_type": "Metric",
"evidence_id": "metric:demo-experiment-02-optimized-evaluation:latency",
"relationship_type": null,
"source": "governance-reasoning-engine",
"metadata": {}
},
{
"evidence_type": "Metric",
"evidence_id": "metric:demo-experiment-02-optimized-evaluation:overall_score",
"relationship_type": null,
"source": "governance-reasoning-engine",
"metadata": {}
},
{
"evidence_type": "MissingEvidence",
"evidence_id": "725d77ea47d53816",
"relationship_type": null,
"source": "governance-reasoning-engine",
"metadata": {
"missing_evidence_type": "Policy",
"severity": "INFO"
}
}
],
"policies": [
{
"policy_id": "fe99b21a-1937-43fb-baa8-5926b3c67805",
"policy_version": "1",
"policy_name": "Claims Triage Prompt Release claims-triage-prompt-release-1789555682",
"metadata": {}
}
],
"provenance": {
"producer_type": "POLICY_ENGINE",
"producer_id": "ai-governance-governance-reasoning-engine",
"actor_id": null,
"correlation_id": "claims-triage-prompt-release-1789555682",
"request_id": "claims-triage-prompt-release-1789555682",
"created_at": "1970-01-01T00:00:00Z"
},
"supersession": {
"supersedes_decision_id": null,
"superseded_by_decision_id": null,
"supersession_reason": null
},
"metadata": {
"source": "developer-guide"
},
"finalized_at": null,
"archived_at": null
},
"subgraph": {
"nodes": [
{
"entity": {
"entity_id": "decision:Candidate:demo-experiment-02-optimized:APPROVE:ebb5765f8f880524",
"entity_type": "GovernanceDecision",
"lifecycle": "APPROVED",
"owner": "ai-governance-governance-reasoning-engine",
"ontology_version": "1.1.0",
"created_at": "1970-01-01T00:00:00Z",
"metadata": {
"last_synchronized_at": "2026-09-16T11:01:59.440846+00:00",
"projection_hash": "b37ea7314b54fbf4d35d09f8f2bef716ad09eaacf3d86e2e323daedb4463311f",
"projection_source": "governance_decisions",
"projection_version": "1.0.0",
"relationship_set_hash": "96b3d577d9dad41abd4db5c3df2e3d499a23ad92bd9e77c0be1437164ce2d44c",
"synchronized_from": "governance_decision"
},
"immutable_attributes": {
"created_by": "ai-governance-governance-reasoning-engine",
"decision_id": "decision:Candidate:demo-experiment-02-optimized:APPROVE:ebb5765f8f880524",
"decision_type": "APPROVE",
"reason": "Answer relevance satisfies the claims-response release threshold.",
"target_entity_id": "demo-experiment-02-optimized",
"target_entity_type": "Candidate"
},
"mutable_attributes": {
"status": "APPROVED"
}
},
"depth": 0
},
{
"entity": {
"entity_id": "actor:ai-governance-governance-reasoning-engine",
"entity_type": "Actor",
"lifecycle": "ACTIVE",
"owner": "ai-governance-governance-reasoning-engine",
"ontology_version": "1.1.0",
"created_at": "2026-09-16T11:01:59.421863Z",
"metadata": {
"synchronized_from": "ontology_sync"
},
"immutable_attributes": {
"actor_id": "ai-governance-governance-reasoning-engine",
"actor_type": "user"
},
"mutable_attributes": {}
},
"depth": 1
},
{
"entity": {
"entity_id": "decision:Candidate:candidate-1:APPROVE:6b5c8da0340292f7",
"entity_type": "GovernanceDecision",
"lifecycle": "APPROVED",
"owner": "ai-governance-governance-reasoning-engine",
"ontology_version": "1.1.0",
"created_at": "1970-01-01T00:00:00Z",
"metadata": {
"last_synchronized_at": "2026-09-16T11:01:59.341590+00:00",
"projection_hash": "7b820fce75bab3b8f9b343ce913d06abd91c8c3cfa522a0d3be90488f5852dc0",
"projection_source": "governance_decisions",
"projection_version": "1.0.0",
"relationship_set_hash": "e659c6970a277165c12e685a818cf532760a17d0ea762e981fd695a12ffd7232",
"synchronized_from": "governance_decision"
},
"immutable_attributes": {
"created_by": "ai-governance-governance-reasoning-engine",
"decision_id": "decision:Candidate:candidate-1:APPROVE:6b5c8da0340292f7",
"decision_type": "APPROVE",
"reason": "Candidate passed the release gate with answer relevance at or above 0.90.",
"target_entity_id": "candidate-1",
"target_entity_type": "Candidate"
},
"mutable_attributes": {
"status": "APPROVED"
}
},
"depth": 2
},
{
"entity": {
"entity_id": "candidate-1",
"entity_type": "Candidate",
"lifecycle": "active",
"owner": "owner",
"ontology_version": "1.1.0",
"created_at": "2026-07-01T00:00:00Z",
"metadata": {
"demo": true,
"label": "Candidate A",
"score": 0.91
},
"immutable_attributes": {
"demo_id": "candidate-1"
},
"mutable_attributes": {}
},
"depth": 3
},
{
"entity": {
"entity_id": "owner",
"entity_type": "Actor",
"lifecycle": "active",
"owner": "platform-governance",
"ontology_version": "1.1.0",
"created_at": "2026-07-01T00:00:00Z",
"metadata": {
"demo": true,
"label": "Platform Governance"
},
"immutable_attributes": {
"demo_id": "owner"
},
"mutable_attributes": {}
},
"depth": 3
},
{
"entity": {
"entity_id": "policy-release-gate",
"entity_type": "Policy",
"lifecycle": "active",
"owner": "owner",
"ontology_version": "1.1.0",
"created_at": "2026-07-01T00:00:00Z",
"metadata": {
"demo": true,
"label": "Release Gate Policy"
},
"immutable_attributes": {
"demo_id": "policy-release-gate"
},
"mutable_attributes": {}
},
"depth": 3
},
{
"entity": {
"entity_id": "eval-result-approve",
"entity_type": "EvaluationResult",
"lifecycle": "completed",
"owner": "owner",
"ontology_version": "1.1.0",
"created_at": "2026-07-01T00:00:00Z",
"metadata": {
"demo": true,
"label": "Candidate A Result",
"score": 0.91
},
"immutable_attributes": {
"demo_id": "eval-result-approve"
},
"mutable_attributes": {}
},
"depth": 3
},
{
"entity": {
"entity_id": "job-eval-approve",
"entity_type": "Job",
"lifecycle": "completed",
"owner": "owner",
"ontology_version": "1.1.0",
"created_at": "2026-07-01T00:00:00Z",
"metadata": {
"demo": true,
"label": "Candidate A Evaluation Job",
"status": "SUCCEEDED"
},
"immutable_attributes": {
"demo_id": "job-eval-approve"
},
"mutable_attributes": {}
},
"depth": 3
},
{
"entity": {
"entity_id": "answer-relevance-approve",
"entity_type": "Metric",
"lifecycle": "active",
"owner": "owner",
"ontology_version": "1.1.0",
"created_at": "2026-07-01T00:00:00Z",
"metadata": {
"demo": true,
"label": "Answer Relevance",
"score": 0.91
},
"immutable_attributes": {
"demo_id": "answer-relevance-approve"
},
"mutable_attributes": {}
},
"depth": 3
},
{
"entity": {
"entity_id": "decision:Candidate:candidate-2:INVESTIGATE:7aad61e62b84edde",
"entity_type": "GovernanceDecision",
"lifecycle": "PROPOSED",
"owner": "ai-governance-governance-reasoning-engine",
"ontology_version": "1.1.0",
"created_at": "1970-01-01T00:00:00Z",
"metadata": {
"last_synchronized_at": "2026-09-16T11:01:59.363838+00:00",
"projection_hash": "5b631ece2f5dfa8966d5d1db5fc7e1405421e97867f3a727b33fec05951e07da",
"projection_source": "governance_decisions",
"projection_version": "1.0.0",
"relationship_set_hash": "fea1176417f3f29c37be548f2445a96aa69bac2017f72af6f7046eaf24b9bd3e",
"synchronized_from": "governance_decision"
},
"immutable_attributes": {
"created_by": "ai-governance-governance-reasoning-engine",
"decision_id": "decision:Candidate:candidate-2:INVESTIGATE:7aad61e62b84edde",
"decision_type": "INVESTIGATE",
"reason": "Candidate needs review because answer relevance is below 0.90.",
"target_entity_id": "candidate-2",
"target_entity_type": "Candidate"
},
"mutable_attributes": {
"status": "PROPOSED"
}
},
"depth": 2
},
{
"entity": {
"entity_id": "candidate-2",
"entity_type": "Candidate",
"lifecycle": "active",
"owner": "owner",
"ontology_version": "1.1.0",
"created_at": "2026-07-01T00:00:00Z",
"metadata": {
"demo": true,
"label": "Candidate B",
"score": 0.84
},
"immutable_attributes": {
"demo_id": "candidate-2"
},
"mutable_attributes": {}
},
"depth": 3
},
{
"entity": {
"entity_id": "eval-result-review",
"entity_type": "EvaluationResult",
"lifecycle": "completed",
"owner": "owner",
"ontology_version": "1.1.0",
"created_at": "2026-07-01T00:00:00Z",
"metadata": {
"demo": true,
"label": "Candidate B Result",
"score": 0.84
},
"immutable_attributes": {
"demo_id": "eval-result-review"
},
"mutable_attributes": {}
},
"depth": 3
},
{
"entity": {
"entity_id": "job-eval-review",
"entity_type": "Job",
"lifecycle": "completed",
"owner": "owner",
"ontology_version": "1.1.0",
"created_at": "2026-07-01T00:00:00Z",
"metadata": {
"demo": true,
"label": "Candidate B Evaluation Job",
"status": "REVIEW"
},
"immutable_attributes": {
"demo_id": "job-eval-review"
},
"mutable_attributes": {}
},
"depth": 3
},
{
"entity": {
"entity_id": "answer-relevance-review",
"entity_type": "Metric",
"lifecycle": "active",
"owner": "owner",
"ontology_version": "1.1.0",
"created_at": "2026-07-01T00:00:00Z",
"metadata": {
"demo": true,
"label": "Answer Relevance",
"score": 0.84
},
"immutable_attributes": {
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"target_entity_type": "EvaluationResult",
"ontology_version": "1.1.0",
"created_at": "2026-08-15T10:38:29.672345Z",
"created_by": "ai-governance-governance-reasoning-engine",
"metadata": {
"synchronized_from": "ontology_sync"
}
}
},
{
"relationship": {
"relationship_id": "ontology-rel-f3feb70467cbc728c890b537c1421d2f",
"relationship_type": "USES",
"source_entity_id": "demo-experiment-12-optimized",
"source_entity_type": "Candidate",
"target_entity_id": "demo-prompt-support-v2",
"target_entity_type": "PromptVersion",
"ontology_version": "1.1.0",
"created_at": "2026-08-15T10:38:01.902867Z",
"created_by": "demo-experiment-12",
"metadata": {
"synchronized_from": "ontology_sync"
}
}
},
{
"relationship": {
"relationship_id": "ontology-rel-f8c22d96def103272988c073472a6375",
"relationship_type": "USES",
"source_entity_id": "demo-source-execution-23",
"source_entity_type": "WorkflowExecution",
"target_entity_id": "demo-prompt-support-v2",
"target_entity_type": "PromptVersion",
"ontology_version": "1.1.0",
"created_at": "2026-08-15T10:38:04.205541Z",
"created_by": "replay_service",
"metadata": {
"synchronized_from": "ontology_sync"
}
}
},
{
"relationship": {
"relationship_id": "ontology-rel-f954fa78c524e5cba8a1217eb288ed79",
"relationship_type": "CREATED_BY",
"source_entity_id": "demo-experiment-02",
"source_entity_type": "Experiment",
"target_entity_id": "actor:studio-demo",
"target_entity_type": "Actor",
"ontology_version": "1.1.0",
"created_at": "2026-08-15T10:38:01.137632Z",
"created_by": "studio-demo",
"metadata": {
"synchronized_from": "ontology_sync"
}
}
}
]
}
}
Expected persisted path APPROVED
- 1Claims response PromptVersion v1.0 — seeded baseline
- 2Claims response PromptVersion v1.1 — candidate input
- 3Claims triage Candidate — demo-experiment-02-optimized
- 4EvaluationResult and Metric evidence
- 5Claims Triage Prompt Release policy version
- 6GovernanceDecision — persisted with request and correlation IDs
What this guide deliberately does not do.
It does not mutate an old prompt, fabricate evaluation evidence, or turn the policy engine into the application runtime. Your system owns prompt authoring and evaluation execution; BHANUJ Platform owns the versioned policy, durable decision, and its evidence context.