Luigi De Masi created CAMEL-25618:
-------------------------------------

             Summary: camel-semantic - enhance audit UX, result metrics and 
drift monitoring
                 Key: CAMEL-25618
                 URL: https://issues.apache.org/jira/browse/CAMEL-25618
             Project: Camel
          Issue Type: Improvement
          Components: camel-jbang, camel-ai, camel-management
            Reporter: Luigi De Masi


h2. Motivation

Build on the semantic auditing delivered by CAMEL-25499 to give operators a 
consistent way to inspect the expert's returned result and the route where the 
evaluation was invoked, follow related evaluations, and observe changes in 
results over time. Simplify semantic audit to automatically captured 
evaluations, their execution lifecycle and runtime provenance.

A fixed-purpose injection classifier, an instruction-driven choice or score 
expert, and a moderation or business-policy expert should be understandable 
through the same vocabulary. Operators also need counts such as “how many 
requests selected billing?”, “how many Boolean answers were true?” and “has the 
urgency distribution changed?”, without deriving production metrics from 
whichever Audit page happens to be open.

Deliver the complete scope below. Several implementation PRs are appropriate; 
diagnostics, monitoring, metrics and the supporting capabilities remain part of 
this enhancement.

h2. Shared model and ownership

*Drop route-action auditing and route-authored business metadata from the 
target design.* Remove the separate route-decision concept from new capture, 
configuration, the shared presentation model and the TUI/CLI/MCP workflows. Do 
not retain it as an optional feature. This removes action declarations, action 
vocabularies, application operation/target, policy/rule metadata, policy 
reasons, action-specific filters/counters and decision-to-evidence panels. 
Audit should expose what the expert returned and how the evaluation ran. 
Ordinary route behavior stays the responsibility of the application and is not 
represented as a semantic audit decision.

Keep *Result*, *Execution status*, *Assessment operation* and *Execution 
reason* distinct. Preserve the expert's returned Boolean, choice, score or 
classification, its captured meaning, expert instance/provider, definition 
name, invocation origin and recorded route/exchange/breadcrumb context. A 
Boolean true, classification label or high score never implies allow/block or 
severity. Auditing requires no decision bean, route annotation, 
business-metadata block or cross-reference beyond its ordinary configuration. 
Original result interpretation remains captured automatically; it is separate 
from the business annotations being dropped.

*Camel exposes information; experts and applications own its meaning.* Capture 
and expose supplied interpretation, model/revision and optional task/version 
identifiers as reported. Camel does not detect meaning changes, derive semantic 
identities, require authors to version every question, decide whether two 
populations mean the same thing, or automatically split series/reset baselines. 
Meaning, versioning, grouping and comparison policies belong to the expert, 
application or external monitoring system. Missing metadata is displayed as not 
provided.

*The TUI is a visualization surface.* Its time windows, filters, comparisons 
and display pause affect queries and presentation only. Collection, retention, 
thresholds, active detector baselines and notification behavior are configured 
outside the TUI. Existing audit configuration remains DSL-owned and frozen 
while the service runs.

*Stores store information; calculation belongs to the producer of the 
measurement.* Stores persist and retrieve audit records and already-computed 
snapshots, and own retention, durability and recovery of stored information. 
They do not calculate result statistics, case summaries, coverage or drift. 
Camel can provide ordinary counting/formatting utilities and assemble explicit 
audit links, but expert/application/monitoring producers own semantic grouping 
and comparison policies. Camel exposes supplied measurements and their 
availability. Memory and durable stores may offer different retention/recovery 
guarantees.

Bulk retrieval has a separate responsibility boundary. 
{{SemanticAuditReader.getAll(eventIds)}} retrieves records by ID without a 
universal evidence-specific 100-ID cap. Console/API callers enforce 
request-size and response budgets. Backend implementations manage their own 
batch limits and may split retrieval into smaller storage queries. Preserve 
legacy v1 evidence-record validation, existing query page limits and input 
bounds. Support existing readers that still enforce the old cap through bounded 
caller-side chunking during migration. Do not silently truncate requested IDs 
or treat a lookup failure as a missing record. This requires runtime/SPI and 
caller changes, with no new persisted field or breaking storage-schema change.

Keep responsibilities small and explicit:

||Part||Responsibility||
| Expert/adapter | Assess the submitted input and declare result meaning. |
| Route | Invoke the expert and continue normal application routing; no 
separate audit decision declaration. |
| Audit runtime | Capture evaluation results, execution outcomes and available 
runtime context automatically; associate evaluations, batch members and request 
outcomes using their recorded identifiers. |
| Metric/monitoring producer | Own measurement semantics, grouping and 
comparisons; supply measurements for exposure. The producer can be an expert, 
application or external monitoring system. |
| Store | Persist and retrieve supplied records/state; implement retention and 
recovery. |
| Console/JMX | Expose the shared records and computed snapshots through their 
respective read interfaces. |
| TUI/CLI/MCP presentation | Format and present that data, with read-only 
navigation, filters and visualization windows. |

These are responsibility boundaries, not a request for a new framework or 
module for each row. Reuse existing Camel infrastructure, give each calculation 
one owner, and avoid separate accumulators or monitoring logic in stores, 
management interfaces and clients.

h2. Proposed scope

h3. 1. Consistent Audit, CLI and playground presentation

Introduce a shared result formatter for Boolean, choice, score and 
classification, used by Audit, CLI and the playground with the appropriate 
captured/submitted interpretation. Show exact fractional scores, empty label 
sets, omitted results, keyed probabilities and confidence without rounding them 
into policy judgments. Probability and confidence retain their own meanings.

Use bordered panels: context and visualization controls at the top, the 
evaluation table in the centre, a selected-record inspector below it, and 
persistent health and keyboard hints. Keep expert identity and typed result 
visible. At 144x40, show Timestamp, Executing route, Evaluation, 
Expert/provider, Result, Execution, Duration and Breadcrumb. The selected 
evaluation's inspector presents returned result and captured meaning beside 
execution/provenance details. At 100x30, retain Timestamp, Executing route, 
Expert, Result and Execution in the table; move the definition name, provider 
and identifiers into the single-column details, with an expanded inspector 
available. At 88x24, use a compact list and a full-width scrollable inspector. 
Request lifecycle records remain accessible through their invocation 
relationship. Do not add route-action panels, selectors or alternate views. Use 
text labels alongside colour and local timestamps with clear date/time-zone 
information. The mockups illustrate this layout; they are not required to 
understand the feature.

*Executing route is automatic runtime provenance.* Capture the route invoking 
the evaluation from the Exchange's active route context when evaluation starts, 
before expert work is dispatched. Camel already exposes this through 
{{ExchangeHelper.getAtRouteId(exchange)}}. The currently stored {{routeId}}, 
obtained from {{exchange.getFromRouteId()}}, identifies the entry route; 
preserve its meaning and existing filter behavior. Propose a separate bounded 
optional {{executingRouteId}} field, subject to the compatibility rules below. 
For an exchange entering {{http-entry}} and invoking an evaluation inside 
{{prompt-screen}}, show Executing route {{prompt-screen}} and retain Entry 
route {{http-entry}} in details. Do not reconstruct the executing route from an 
exchange/breadcrumb identifier, today's route definitions or completion-time 
context. No author-supplied metadata or new DSL option is required. Older 
records show executing route as “not recorded”; calls without an Exchange show 
“n/a.” If an Exchange has no active route context, leave that identity 
unavailable rather than substituting the entry route. Missing executing-route 
capture never prevents browsing existing history.

*Store both identifiers; keep the table concise.* {{exchangeId}} and 
{{breadcrumbId}} already belong to the version-1 record. When both are 
available, including a valid breadcrumb, retain both as separate fields in the 
same audit record. Exchange ID identifies the individual Exchange; Breadcrumb 
ID associates related exchanges. Auditing copies Camel's existing breadcrumb 
and does not generate a replacement or substitute Exchange ID under that name. 
Storage durability and retention remain backend responsibilities; viewing 
history reads the stored identifiers without needing the live Exchange. This is 
independent of raw-input capture and needs no new schema fields for either 
identifier.

*Breadcrumb ID is the only correlation identifier shown as a table column. 
Exchange ID is detail-only.* Every Audit/diagnostics detail view shows both 
recorded identifiers with explicit labels and access to their full values; long 
table values use visible ellipsis. At narrow widths, breadcrumb also moves into 
details to keep Executing route and Result readable. An absent breadcrumb is 
labelled “not recorded,” without claiming why it is missing. Missing 
identifiers do not prevent audit inspection. Neither ID is a route location, 
and a shared breadcrumb alone does not prove causal linkage or case 
completeness.

Add visualization time presets, quoted exact filter values, selectors and 
explicitly scoped refinements such as text, execution state and result 
availability. Preserve the reader's exact-match contract. The existing 
{{routeId}} filter remains an Entry route filter; filtering by Executing route 
must use an explicitly supported query field or a clearly labelled loaded-page 
refinement. Page-local results and counters must be labelled as such. Complete 
window counts come from runtime-computed snapshots or a bounded runtime 
calculation over sufficiently complete retained data; the store is not required 
to calculate them. Stabilize live selection, report new arrivals and make 
pause, older pages and expired cursors clear. Update CLI text, JSON, help and 
documentation consistently.

h3. 2. Cases, relationships, health and export

Group related evaluations and request outcomes by a source-scoped breadcrumb, 
with clearly labelled exchange, invocation and event fallbacks when necessary. 
Show batch siblings and request-to-completion associations using captured 
identifiers. Group membership is association, not proof of causation or 
completeness.

Distinguish related records not yet loaded, unavailable records, omitted 
results and incomplete retrieval scope. An evaluation is independently 
inspectable; do not introduce missing-action or missing-business-metadata 
warnings. Do not infer the reason an individual record is unavailable from a 
global eviction counter.

Separate capture, reader, delivery and observed expert health. Show 
per-instance collection state and execution outcomes, retained capacity, 
eviction/drop counts and sink/observer failures. Keep errors visible at narrow 
widths and distinguish disabled capture, no matches and a failed backend. 
Support visible failure notifications and runtime-configured operational 
notification hooks without giving the TUI control over them.

Provide bounded case export and structured MCP case summaries with retrieval 
scope, relationship completeness and missing references. Summaries exclude 
captured input. Explicit input-bearing details/exports identify untrusted data 
and capture/redaction/omission state; apply the same boundary to generic 
TUI-to-AI inspection paths.

h3. 3. Preserve historical meaning and support useful diagnostics

Whenever an evaluation is being audited, automatically capture its bounded, 
contract-declared original interpretation when the configured store/sinks 
support it: relevant choice keys/descriptions, score levels, Boolean labels and 
explicit no-match or probability-domain relationships where available. No 
separate interpretation-capture opt-in is required. Capture effective meaning 
at invocation time; editing or deleting a definition must not reinterpret its 
history. Raw-input capture retains its existing separate opt-in; this change 
does not enable arbitrary prompt, instruction or parameter capture. Agree exact 
bounds, field handling and omission representation before emission. Older 
records remain readable, with missing interpretation labelled “not recorded”; 
never reconstruct it from today's definition.

Enable new persisted interpretation/finding fields and executing-route 
provenance only when the configured store/sinks declare support. Unsupported 
capture is explicitly visible through health/detail responses, without sending 
unrecognized fields to older implementations. Lack of extension support does 
not by itself reject the existing configuration or prevent startup.

Derive diagnostics from existing results: reported top-two probability gap, 
alternatives and ties, explicitly designated no-match, and score modes where a 
declared mapping supports them. Preserve the selected answer even when it 
differs from the highest reported probability. Mark incomplete distributions 
and unavailable interpretation; diagnostics are neither model reasoning nor 
calibrated certainty. No extra inference is required.

For example, a choice result selecting billing with reported probabilities 
billing=0.68, technical=0.29 and other=0.03 can display the reported top-two 
gap of 0.39 and technical as the next alternative. An ordinary key named other 
is not automatically a no-match answer. A score of 1.6 remains 1.6; captured 
level descriptions may explain its position between levels, but cannot turn it 
into a discrete score of 2 or a severity.

Allow explicit transfer of permitted captured input into a new playground 
draft. Identify missing original parameters and changed execution context; 
never claim exact replay. Browsing and draft creation do not invoke an expert. 
Evaluation remains the playground's separate, explicit Run action.

h3. 4. Typed-result metrics and expert-owned MBeans

Provide shared utilities for bounded typed-result counters/distributions and 
expose expert-owned measurements independently of audit retention and TUI 
polling. Measurement producers supply their dimensions and any task/version 
identifiers; Camel does not derive semantic identity or manage series versions:

* *Choice:* count the selected answer once per successful evaluation; include 
proportions and denominators. Probability entries are not additional answers.
* *Boolean:* count the returned true/false answer. For TypeSafe yes/no 
questions, use the adapter's final Boolean; do not apply another threshold. A 
reported yes-probability histogram is a separate metric. Failures and 
unavailable results are not false answers.
* *Score:* count, sum, minimum/maximum and bounded numeric histograms. Preserve 
fractions; exact level counts require discrete-level semantics.
* *Classification:* per-label membership and empty-set counts. Multiple labels 
may contribute to one evaluation; percentages need not sum to 100%.

Count completed assessment members, including batch members, rather than 
provider calls. Separate provider attempts and semantic completions, 
exclusions, unavailable results and collection loss. The metric owner defines 
grouping and decides how question, criterion, model or policy changes affect 
its series. Camel preserves the supplied dimensions and exposes their meaning; 
it does not infer semantic continuity or automatically create a new series.

Expose shared health and expert-described metric snapshots through *JMX, TUI, 
CLI and MCP*, using the same read-only source. JMX remains optional at 
deployment. Experts own the measurements and supply their name, meaning, kind, 
unit, values and bounded dimensions. They may own a facade and contribute 
provider-specific metrics without duplicating collection. Use a small optional 
description/snapshot contract through the console for generic presentation; do 
not introspect arbitrary MBeans or add provider-specific TUI branches. Experts 
without custom metrics need not implement this extension.

Use bounded tables/buckets, lifecycle registration and no MBean per 
answer/event. Console and JMX consume the same snapshot; reads do not run 
inference, scan all records or synchronously query a remote store. Include 
interval/epoch, units, denominators and availability. Keep runtime cumulative 
counters distinct from stored historical aggregates. Honor JMX-disabled 
deployments; expose no reset, threshold, baseline or lifecycle mutations on the 
new metrics facade.

h3. 5. Semantic Monitoring and AiEvent integration

Add a sibling Semantic Monitoring view for measurements, comparisons and 
signals supplied by an expert/application/monitoring producer, with persisted 
snapshots where configured. That producer owns comparison semantics; the store 
saves/retrieves supplied state and Camel exposes it. Support visualization 
against a supplied fixed reference by default, and a previous-period comparison 
when provided or supported by that producer. Show reference/current bounds, 
sample counts, exclusions/loss, reported revisions and source-provided 
comparison state. Missing information remains not provided. Camel does not 
infer comparability or manage semantic changes. A distribution change does not 
establish accuracy loss or a security incident and never changes routing 
behavior.

Operators may change visualization periods and inspect available comparisons. 
Active detector policy remains owned by its producer outside the TUI; a 
visualization query does not emit operational signals. Historical windows 
depend on the information produced and retained. This enhancement exposes and 
visualizes monitoring information without adding a Camel semantic-change 
management engine.

Use the merged common AiEvent API from CAMEL-25408 as the shared occurrence 
contract for Audit and Monitoring. Add component-owned typed Semantic events 
for evaluation starts/completions and request outcomes, carrying bounded 
captured results, meanings, execution state and provenance. The root supports 
exchange-free events; no synthetic Exchange or new core hierarchy is needed. 
Keep expert identity and adapter provider in the typed payload and use a stable 
publishing-family label. AiEvent is the specialized Camel event 
contract/envelope that producers implement and consumers recognize. Assessment 
fields deliberately belong to the Semantic specialization; the common root 
remains generic. EventHelper publishes notifications and EventNotifier defines 
the consumer contract. AiEvent itself does not define a wire transport, queue 
or persistence format.

Construct the safe occurrence data once. Feed the typed event directly to the 
existing audit recorder, which applies capture policy, attaches permitted input 
privately and sends the record through its bounded sink queue. Publish the 
input-free event through {{EventHelper.notifyAiEvent}} for expert/monitoring 
consumers. This makes the common event contract useful to both features while 
preserving audit capture independently of management-listener filters. Audit 
records remain the persisted history format; do not store raw event objects or 
broadcast captured input.

Result-metric producers consume typed completion events once per assessment 
member. They may publish already-computed metric, comparison and signal 
snapshots as typed AiEvents; Camel exposes those supplied values through the 
existing read-only snapshot surfaces. Distinguish starts, completions, request 
outcomes and producer outputs so counters cannot double-count or consume their 
own output as another evaluation. Producers retain ownership of calculations, 
grouping, comparability and notification policy. Stores persist/retrieve 
supplied information, and TUI/CLI/MCP display it.

Use the merged helper's notifier lifecycle, filtering and failure isolation, 
with short callbacks and bounded consumer processing. Expose measured 
loss/freshness; event dispatch is synchronous, best effort and supplies no 
durable replay. Monitoring consumers and event production work with audit 
retention disabled and no TUI attached. Preserve existing SemanticObserver 
compatibility and its parent-context/detached tracing hooks; AiEvent does not 
replace those guarantees. This integration requires runtime/component work, not 
a breaking persisted-schema change or an OpenTelemetry dependency in 
camel-semantic. Existing tool/loop events may support their own activity 
metrics, but do not fabricate semantic results or route actions from them.

h3. 6. Expert-reported findings

Support bounded expert-authored findings with their supplied meaning and 
severity provenance. Missing severity means not reported; never derive it from 
a Boolean, score or confidence. Findings describe the expert's assessment and 
remain supplementary to its returned typed result.

Drop route-authored policy priority, policy/rule coverage and 
enforcement-evidence views that depended on the removed route-decision 
metadata. Business-policy experts continue to report ordinary Boolean, choice, 
score or classification results and expert-owned findings through the same 
generic presentation.

h2. Compatibility and implementation areas

Prefer *(a) presentation changes* and *(b) optional, versioned console 
enrichment* for relationships, aggregates and capabilities. Agree *(c) bounded 
additive record fields* only where historical interpretation, findings or 
executing-route provenance need persistence. Both identifiers already exist: 
showing Breadcrumb ID in the table and both IDs in details is *(a)*. Showing 
the existing entry route is also *(a)*; capturing the separate executing route 
is runtime work with a proposed *(c)* field, requiring maintainer agreement. 
Keep {{routeId}} and its query semantics unchanged. Existing v1 allowlists 
require capability-gated emission: keep older records readable and existing 
configurations usable, and visibly report unsupported capture. The 
declaration/negotiation mechanism still requires API design. *No (d) breaking 
record-schema change is proposed.* Runtime collectors, store capabilities and 
management projections are additional work, not presentation-only changes.

*Migration of the dropped feature:* deprecate {{SemanticAuditDecision}} and 
phase out its route-decision recording/configuration path, with documentation 
and examples using automatic evaluation capture. This API/configuration 
lifecycle change requires maintainer agreement; any eventual API removal 
follows the normal compatibility process. Preserve the ability to deserialize 
and export already-persisted v1 decision records as legacy data. Do not delete 
stored history, reinterpret it as an evaluation, or remove accepted fields from 
the v1 storage schema. Legacy data compatibility does not restore route actions 
as an optional workflow in the proposed model or UI. The runtime transition 
must be documented rather than silently turning existing recording calls into 
no-ops.

Build on SemanticAuditRecord, SemanticAuditQuery, SemanticAuditConsole, 
SemanticAuditService, SemanticObserver, SemanticAuditView, SemanticResultView, 
the semantic CLI and TUI MCP tools. Add optional capabilities with explicit 
unsupported/partial states; do not impose full-store scans on the one-second 
refresh or require every custom reader/expert to implement every extension. 
Collection and notification failures must not change inference or routing 
behavior.

The interpretation/finding/provenance compatibility behavior and 
storage-versus-calculation boundary are specified above. Implementation review 
must settle bounded field definitions and capability negotiation, 
retrieval/persistence contracts, shared snapshot responses and supplied 
metric/identity metadata. There is no Camel-owned semantic identity or 
meaning-change detection contract. The store contract contains no requirement 
to calculate semantic aggregates or comparisons. Exact SPI signatures, field 
names and management naming follow implementation review.

h2. Acceptance criteria

# Boolean, choice, fractional score, empty classification, omitted result, 
failed execution and business-policy assessment fixtures retain distinct 
meanings across TUI, CLI and MCP. Shared result formatting agrees with the 
playground.
# Audited evaluations automatically capture bounded original interpretation on 
compatible backends, without a separate opt-in or enabling raw-input capture. 
Definition edits/deletion do not change captured historical labels. Older 
records remain readable with missing interpretation labelled “not recorded.” 
New fields are emitted only with declared store/sink support; unsupported 
capture is visible and does not prevent startup. Capture bounds and 
mixed-version behavior are documented and tested.
# Route-bound and direct assessments, unavailable related records, absent 
breadcrumbs, partial batches and cancellation-followed-by-completion are 
navigable without fabricated results or completeness claims. Evaluation 
auditing works without a decision bean, route annotation or business-metadata 
configuration. Cases associate evaluations and lifecycle records through their 
captured identifiers.
# The framed layouts work at 144x40, 100x30 and 88x24. Selection, input-loading 
states, mixed dates, quoted filters, narrow-width errors and keyboard/help 
parity are verified.
# Summary/list/metrics surfaces remain input-free. Explicit input detail, case 
export and draft handoff preserve the trust boundary and never trigger 
automatic inference.
# Known fixture populations produce correct choice, Boolean, numeric and 
classification measurements, with batch members counted once and omissions/loss 
visible. Supplied dimensions/revisions survive capture and exposure unchanged. 
Camel neither infers semantic changes nor automatically splits, merges or 
resets series; missing versions do not prevent ordinary audit/metric exposure.
# An expert-defined metric is visible through JMX, TUI, CLI and MCP with 
matching supplied name, meaning, unit and values. Metrics are read-only, 
cardinality is bounded, lifecycle cleanup works, and disabled JMX leaves 
console-based functionality available. No surface independently redefines the 
metric or duplicates its collection.
# Monitoring displays supplied fixed-reference and previous-period comparisons, 
sample counts and source-reported unavailable/incomparable states. Stores 
persist/retrieve supplied information; console/JMX expose the same snapshots. 
Memory/durable recovery behavior and absent metadata are explicit. Camel does 
not infer changes in meaning, impose a versioning scheme or manage comparison 
policy. TUI visualization changes do not alter collection, detector state or 
notifications.
# Typed Semantic AiEvents feed audit recording and expert/monitoring consumers 
for route-bound and direct evaluations, with audit-disabled monitoring and no 
TUI required. Each completed batch member is counted once; starts, request 
outcomes and supplied monitoring outputs are distinct. Audit capture/input 
remain private and independent of management-listener filters; history remains 
readable without an event consumer. Verify listener failure/queue-loss 
behavior, supplied snapshot exposure and compatibility with existing observer 
tracing hooks.
# Expert-reported findings retain their author, meaning and supplied severity 
scale; absent severity is explicit. Documentation and examples cover a fixed 
classifier, an instruction-driven expert and provider-independent 
classification/business-policy data without route-authored policy metadata or 
coverage claims.
# A nested-route fixture entering route A and invoking an evaluation in route B 
records Entry route A and Executing route B at invocation time, without 
additional author configuration. Completion, route renaming/deletion and 
historical browsing do not change those recorded identities. Existing 
{{routeId}} filters keep their entry-route meaning. Direct calls, missing 
active route context, old records and unsupported capture are represented 
without guessing a location or preventing normal audit operation.
# A record with both valid identifiers retains {{exchangeId}} and 
{{breadcrumbId}} together through storage and retrieval. Breadcrumb ID is the 
only correlation column in the wide table; Exchange ID is never a table column. 
Detail boxes expose both full recorded values. At narrow widths both IDs remain 
accessible in details while Executing route and Result stay readable. Absent 
breadcrumbs are handled without generating or relabelling identifiers. 
Summary/list responses remain input-free.
# Route-action auditing is dropped from the target capture/configuration model 
and TUI/CLI/MCP presentation, including its metadata, filters, counters, panels 
and policy-coverage dependencies. Migration deprecates the existing recording 
entry point and replaces its examples with automatic evaluation auditing. 
Already-persisted v1 decision records remain deserializable/exportable as 
legacy data without restoring the removed feature or breaking the storage 
schema.
# Bulk retrieval accepts a permitted request exceeding 100 IDs without an 
evidence-specific SPI limit. Caller request/response budgets are enforced, 
backend chunking returns all available requested records, and existing readers 
with the old cap remain usable during migration. Missing records remain 
distinct from retrieval failures. Legacy v1 evidence-record validation, query 
page limits and input bounds remain unchanged.

h2. Related work and visual references

* [CAMEL-25499: semantic audit 
foundation|https://issues.apache.org/jira/browse/CAMEL-25499] — follow-up to 
the delivered implementation.
* [CAMEL-25357: semantic dev 
console|https://issues.apache.org/jira/browse/CAMEL-25357] — overlapping 
foundational proposal; coordinate scope and reuse the existing console/recorder.
* [CAMEL-25408: common AiEvent 
API|https://issues.apache.org/jira/browse/CAMEL-25408] and [PR 
#27714|https://github.com/apache/camel/pull/27714] — Resolved/Fixed and merged, 
verified 2026-10-13; the common API is available on main for 4.24.0. Build the 
Audit/Monitoring event integration on this foundation; no pending upstream 
hierarchy/dispatch request remains.
* [CAMEL-23369: GenAI 
observability|https://issues.apache.org/jira/browse/CAMEL-23369] — coordinate 
common telemetry integration; this issue adds semantic result/case/monitoring 
meaning.
* [Original framed layout 
reference|https://issues.apache.org/jira/secure/attachment/13085107/13085107_camel-semantic-audit-tui.png]
 — layout inspiration only; the proposed mockups use the information model 
described here.

The attached mockups illustrate Audit, diagnostics and Monitoring at 144x40 and 
100x30. They contain synthetic examples, not implemented UI screenshots. At 
88x24, use a compact list and full-width scrollable inspector.

_AI-assisted content prepared by Codex on behalf of Luigi De Masi 
(@luigidemasi)._




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