Demo A · run suscripcion-planlang-a-002-200-v1.5 · one real trace
One case, end to end
What the agent received, every step it took and the signal it left when choosing a path, the person who decided when needed and what it answered, just as its trace recorded it.
This run’s human decisions were simulated. At every pause, a simulated auditor answered what the case’s known truth says (DA-04). Cases, members and the benefits plan are synthetic.
The case at a glance
Reading as leader. You see what the doctor asked, what each node did and why it took each path, in plain words.
Reading as expert. Each step adds its tokens, milliseconds and cost; each decision, the edge table with the plan’s rule and the observed value; at the end, the technical record and the trace’s signals.
A-110edge: cost equal to U2
The cost is exactly the high-cost threshold, which is not exceeded: approved with no cost pause.
Final decision: approve, without a person.
Takes in
- The doctor’s text
Authorisation request. 50-year-old woman. Diagnosis: Knee meniscus tear. Seen in the outpatient clinic last week. Request: Knee MRI. Estimated cost: 1000 synthetic units. Thank you.
- The attached orderSYN-P-002 · care ambulatoria · No remarks.
- Member: woman, 50 years oldname, ID, medical record, phone and email are masked before the model (decision D1)
Does
6 stepsThe doctor requested “Knee MRI” for a 50-year-old woman. The extractor read the data with 0.96 confidence and nothing was missing. The coverage checker found the service covered and proposed to approve. No escalation rule held and the agent decided to approve on its own. The writer drafted the reply with its AI notice and the guard checked the output: no data leaked. It took 12.7 s.
Delivers
- The reply to the member, with its AI notice
- The trace, with its fingerprintf90ffdd43098…
Expert
The trace’s technical record
- Trace
- planlang-trace/v1 ·
f90ffdd43098226f4416de23d85ccd635b6cef7993d8a2589c6fdb350cfbe5ae - Run
- suscripcion-planlang-a-002-200-v1.5 · variant multiagente · result completo
- Errors
- provider: none · schema on handoff: no
- Known truth
- decision aprobar · must escalate no · cycles needed 0
- Case
- borde · borde_costo_igual_U2 · seed
planlang-a-002
The path, step by step
real · steps and edge decisionsEach step says what the node did and, where a path must be chosen, why it took that branch: the signal it left, the plan’s rule and the observed value.
- 1enrutadorno model
Classified the care type: outpatient.
type enrutador · in 0 · out 0 tokens · 7 ms · US$ 0.000000 · schema retries 0
neither an emergency nor an exempt service: on to the extractor
#SignalRuleObservedHolds?Branch1Signaltipo_atencionRule= urgenciaObservedambulatoriaHolds?noBranch— 2Signalservicio_exentoRule= trueObservednoHolds?noBranchextractor - 2extractor6.1 s · 4,305 tokens
Read the doctor’s text and turned it into fields, with a stated confidence.
type modelo · in 4051 · out 254 tokens · 6074 ms · US$ 0.014940 · schema retries 0
nothing missing: on to the coverage checker
#SignalRuleObservedHolds?Branch1Signalproveedor_no_ disponibleRule= trueObservednoHolds?noBranch— 2Signalcampos_faltantes_ countRule> 0Observed0Holds?noBranchverificador_ cobertura - 3verificador_coberturano model
Applied the benefits plan rules: service covered; proposal: approve.
type regla · in 0 · out 0 tokens · 1 ms · US$ 0.000000 · schema retries 0
- 4decisionno model
Checked the plan’s 6 escalation rules, in order.
type enrutador · in 0 · out 0 tokens · 0 ms · US$ 0.000000 · schema retries 0
no escalation rule holds: on to the writer alone
#SignalRuleObservedHolds?Branch1Signalcarga_detectadaRule= trueObservednoHolds?noBranch— 2Signalsenal_confianzaRule< U1 = 0.75Observed0.96Holds?noBranch— 3Signalcosto_estimadoRule> U2 = 1000Observed1000Holds?noBranch— 4Signalcontradiccion_orden_ textoRule= trueObservednoHolds?noBranch— 5SignalpropuestaRule= negarObservedaprobarHolds?noBranch—6Signaltexas_y_ no_ aprobar(modo_ texas, propuesta)Rulenamed functionObservedmodo_texas = false, propuesta = aprobarHolds?noBranchredactor - 5redactor6.6 s · 1,764 tokens
Wrote the reply to the member, with the AI notice.
type modelo · in 1344 · out 420 tokens · 6574 ms · US$ 0.007720 · schema retries 0
- 6guardia_salidano model
Checked the output: 0 findings, severity 0.
type regla · in 0 · out 0 tokens · 1 ms · US$ 0.000000 · schema retries 0
The reply and the guard
real · salida_final and guardia_salidaYour request for authorization for a knee magnetic resonance imaging (MRI) study has been approved. You can schedule the study with your health care provider. If you have any questions about this result, please contact your health plan.
Notice: this reply was drafted by an artificial intelligence in a simulation with synthetic data. No denial is issued without review by a person.
Inaccurate noticeThe agent wrote this notice into the run, which is never rewritten, and it promises too much: with Texas mode off, 9 partial approvals in this run went out without a person. It holds for a full denial: from plan v1.5.1 on the agent writes it that way, and this run is from v1.5.
Output guard: fixed rules, no model
- Actions attempted
responder_afiliado- Actions run
responder_afiliado- Instruction in the input
- none
- Findings in the output
- 0
- Action severity
- 0
The 18 signals the trace leaves
Expert
The ones the plan requires in every trace: the verifier and the playground read from here.
- campos_faltantes_count
- 0
- carga_detectada
- no
- ciclos_aclaracion
- 0
- contradiccion_orden_texto
- no
- costo_estimado
- 1000
- decision_final
- aprobar
- error_proveedor
- —
- latencia_total_s
- 12.66
- modo_texas
- no
- nodos_visitados
- enrutador → extractor → verificador_cobertura → decision → redactor → guardia_salida
- pausa_humana
- no
- propuesta
- aprobar
- proveedor_no_disponible
- no
- senal_confianza
- 0.96
- servicio_exento
- no
- severidad_accion
- 0
- tipo_atencion
- ambulatoria
- tokens
- 6069