Claude Fable 5
Claude Fable 5 is Anthropic's new top-capability generally available Claude model. It is built for long-running coding, agentic execution, multimodal reasoning, research, and high-stakes professional workflows, with stronger long-horizon performance than earlier Opus models, state-of-the-art vision, and a 1M-token context window. Safety classifiers can route some sensitive requests to Claude Opus 4.8 instead.
Production Incident Postmortem Report
Reasoning
I need to write a postmortem document that's between 1200 and 1800 words, making sure to keep it blameless, include proposed deadlines for action items, and clearly flag any unknowns or gaps in our understanding. I'll want to use specific numbers and data points throughout to make it concrete and credible.# Postmortem: INC-2471 — EU API Request Failures After Database Failover
**Date of incident:** 17 June 2026
**Severity:** SEV-1
**Status:** Resolved (10:30 UTC); SLA review in progress
**Regions affected:** eu-west only. US and APAC were unaffected.
---
## 1. Executive Summary
On 17 June 2026, an automatic failover of the eu-west PostgreSQL primary — triggered by a storage-degraded state on the original primary — led to a 42-minute period of customer-visible API degradation in the EU region (09:05–09:47 UTC). Although the database failover itself completed within two minutes and the new primary was healthy, EU API instances continued to hold and attempt connections against the former primary because the Java database client caches DNS resolutions for 900 seconds and the connection-pool health check does not verify that the connected server is a writable primary.
The resulting blocked database calls increased API latency, which the latency-based autoscaler interpreted as demand. Pod count grew from 120 to 210, and because each pod may open up to 20 database connections, total connection demand approached the database's 4,000-connection limit (approximately 3,950 observed at 09:23). New and existing pods then failed to acquire connections, producing widespread 5xx errors.
During the window, 31% of EU API requests failed or timed out — approximately 84,000 requests across 146 customer organizations — including 12,430 failed checkout submissions, of which 2,560 required customer resubmission. Recovery was achieved by reducing the per-pod connection-pool maximum from 20 to 8 and performing a rolling restart of EU API pods to clear stale pools. No data loss, duplicate charges, or security impact has been confirmed.
The root cause is a combination of stale client-side DNS caching and an insufficient pool health check, amplified by autoscaler behavior with no guardrail tied to database connection saturation. Reducing the DNS cache alone will not fully prevent recurrence; the corrective plan addresses health-check semantics, autoscaling guardrails, observability, testing, and runbooks.
---
## 2. Customer and Business Impact
- **Customer-visible degradation:** 09:05–09:47 UTC (42 minutes), EU region only.
- **Request failures:** 31% of EU API requests failed or timed out during the window; approximately 84,000 failed requests across 146 customer organizations. Baseline 5xx rate is below 0.2%.
- **Checkout impact:** 12,430 checkout submissions initially failed. Client-side retries recovered 9,870; the remaining 2,560 required customers to resubmit.
- **Inventory synchronization:** Delayed by up to 38 minutes.
- **Backlog:** Checkout backlog processing began automatically at 09:47 and cleared by 10:05.
- **Data integrity and security:** No confirmed data loss, duplicate charges, or security impact.
- **Contractual exposure:** SLA impact is still being assessed by Legal and Customer Success (see Open Questions).
---
## 3. Detection and Response
Detection was automated and fast. The EU API 5xx alert fired at 09:05 when the error rate reached 18%, three minutes after the storage degradation began and one minute after failover completed. On-call acknowledged at 09:07, a two-minute acknowledgment time. Customer support independently corroborated impact at 09:10 with reports of failed checkout and inventory-sync requests from several EU retail customers.
Initial investigation pursued a reasonable but incorrect hypothesis — that the new primary had a lower connection limit — which was checked and disproved within six minutes (09:12–09:18). The team identified the actual failure mechanism (stale connections to the former primary due to DNS caching and an inadequate pool health check) at 09:25, twenty minutes after the alert.
Two mitigations resolved the incident: an emergency reduction of the per-pod connection-pool maximum from 20 to 8 (09:28), and a rolling restart of EU API pods beginning at 09:33 to clear stale pools. The 5xx rate fell below 2% by 09:41 and returned below the 0.2% baseline by 09:47. Autoscaling was paused at 09:19, which prevented further connection amplification, though the 210 pods already running remained in service.
Total time from customer impact to full mitigation: 42 minutes.
---
## 4. Detailed UTC Timeline (17 June 2026)
| Time | Event |
|---|---|
| 09:02 | eu-west PostgreSQL primary enters storage-degraded state; managed database service initiates automatic failover. |
| 09:04 | New primary reports healthy; database dashboard shows replication complete. |
| 09:05 | EU API 5xx alert fires at 18% (baseline below 0.2%). **Customer impact begins.** |
| 09:07 | On-call acknowledges. Error samples show `remaining connection slots are reserved` and application-side pool acquisition timeouts. |
| 09:10 | Customer support reports failed checkout and inventory-sync requests from several EU retail customers. |
| 09:12 | Hypothesis: new primary has a lower connection limit. |
| 09:16 | EU API pods scale from 120 to 210; latency-based autoscaler interprets blocked database calls as demand. Each pod may open up to 20 database connections. |
| 09:18 | Connection-limit hypothesis disproved; configuration matches former primary. |
| 09:19 | Team pauses further API autoscaling; existing new pods remain in service. |
| 09:23 | Database connection count observed at approximately 3,950 against the 4,000 limit. |
| 09:25 | Root mechanism identified: connections to the former primary not retired promptly after DNS change. Client library caches resolved addresses for 15 minutes; pool health check validates TCP connectivity only, not writability. |
| 09:28 | Connection-pool maximum reduced from 20 to 8 via emergency configuration. |
| 09:33 | Rolling restart of EU API pods begins. |
| 09:41 | 5xx rate falls below 2%. |
| 09:47 | 5xx rate below 0.2% baseline. **Customer impact ends.** Checkout backlog processing begins automatically. |
| 10:05 | Backlog cleared. Incident remains open for monitoring. |
| 10:30 | Incident resolved. |
---
## 5. Root Cause
The database failover itself worked as designed. Customer impact resulted from the application tier's failure to converge onto the new primary, driven by two interacting defects:
1. **Stale DNS resolution in the client.** The database endpoint's DNS TTL is 30 seconds, but the Java database client uses a process-level DNS cache configured to 900 seconds. After failover, application processes continued resolving the database endpoint to the former primary's address for up to 15 minutes.
2. **Inadequate pool health check.** The connection-pool health check validates TCP connectivity but does not verify that the connected server is a writable primary. Connections to the demoted former primary therefore passed health checks and were not retired, so pools did not recycle onto the new primary even as writes failed or blocked.
These defects converted a clean two-minute failover into a prolonged connection-exhaustion event: healthy-looking but unusable connections accumulated, latency rose, and connection demand from the scaled-out fleet drove the database toward its 4,000-connection ceiling (approximately 3,950 observed), producing `remaining connection slots are reserved` errors and pool acquisition timeouts.
---
## 6. Contributing Factors
- **Autoscaler amplification.** The latency-based autoscaler interpreted blocked database calls as demand and scaled EU API pods from 120 to 210 at 09:16. With up to 20 connections per pod, this pushed potential connection demand well past the database limit. The autoscaler has no guardrail tied to database connection saturation.
- **Legacy configuration debt.** The 900-second DNS cache was introduced two years ago to reduce resolver latency during an unrelated DNS incident. The failover implication was not revisited afterward.
- **Testing gap.** Staging failover tests validate database recovery and basic API health with 10 pods; they do not exercise production-scale connection behavior or autoscaler interaction, so this failure mode was not observable pre-production.
- **Runbook gap.** The failover runbook directs verification of database health but does not cover stale client pools, DNS caching, or temporarily suspending autoscaling — extending diagnosis time.
- **Observability gap.** No alert existed on database connection utilization; the near-saturation state (~3,950 of 4,000) was discovered through manual investigation at 09:23.
---
## 7. What Went Well
- Automated failover completed in approximately two minutes with replication confirmed.
- Detection was automatic and fast (alert at 09:05); on-call acknowledged within two minutes.
- The initial incorrect hypothesis was tested and disproved in six minutes, avoiding a prolonged wrong path.
- Autoscaling was proactively paused at 09:19, limiting further amplification.
- Emergency pool-size reduction and rolling restart were effective; full recovery within 42 minutes of impact onset.
- Client retry logic recovered 9,870 of 12,430 failed checkouts automatically; backlog processing resumed without manual intervention.
- No confirmed data loss, duplicate charges, or security impact.
---
## 8. What Did Not Go Well
- The application tier took the full impact window to converge on the new primary, despite a healthy database at 09:04.
- The autoscaler's response worsened the incident by nearly doubling connection demand.
- Connection saturation was not alerted on and was found manually 18 minutes into the incident.
- The runbook did not anticipate this failure mode, so responders diagnosed from first principles.
- The 900-second DNS cache setting had persisted for two years without reassessment of its failover implications.
- Pods added during the erroneous scale-out remained in service, sustaining connection pressure until the pool-size reduction took effect.
---
## 9. Corrective and Preventive Actions
Deadlines marked "(proposed)" are not yet confirmed with owning teams.
| Priority | Action | Owner | Deadline | Status |
|---|---|---|---|---|
| P1 | Reduce Java client DNS cache from 900s to 30s to match endpoint TTL. Note: mitigates but does not alone prevent recurrence. | Platform | 20 June 2026 (proposed) | Proposed |
| P1 | Alert when database connections exceed 80% of capacity | Observability | 21 June 2026 (proposed) | Proposed |
| P1 | Complete contractual SLA impact review | Customer Success & Legal | 19 June 2026 | In progress |
| P1 | Update failover runbook: autoscaling pause, stale-pool identification, rolling-restart procedure | SRE | 24 June 2026 (proposed) | Proposed |
| P2 | Change pool health checks to verify writable-primary status, not just TCP connectivity | Database team | TBD — feasibility unknown | Under investigation |
| P2 | Add autoscaling guardrail tied to database connection utilization | SRE | TBD | Proposed |
| P3 | Build production-scale failover test with synthetic traffic, including autoscaler interaction | Reliability Engineering | Q3 2026 (target) | Planned |
---
## 10. Open Questions
1. **SLA exposure:** Contractual impact across the 146 affected customer organizations is still under review by Legal and Customer Success (due 19 June).
2. **Health-check feasibility:** It is not yet confirmed whether the current client library supports writable-primary validation, or whether a library change or replacement is required.
3. **Guardrail design:** The mechanism and thresholds for a connection-saturation autoscaling guardrail are undefined; no owner-confirmed date exists.
4. **Pool sizing:** The emergency pool maximum of 8 remains in effect. The correct steady-state value, and whether it should scale with fleet size, has not been determined.
5. **Other regions:** It is unconfirmed (but likely, given shared configuration) that US and APAC clients carry the same 900-second DNS cache and health-check behavior; this should be verified before assuming EU-only exposure.
6. **Storage degradation cause:** The underlying cause of the original primary's storage-degraded state is managed by the database service provider and has not been reported here.
---
## 11. Lessons Learned
- **Failover completeness must be measured at the client, not the database.** A healthy new primary is insufficient if application connections do not converge. Health checks must validate the property the application depends on — writability — not merely connectivity.
- **Autoscalers need saturation-aware guardrails.** Latency-based scaling amplifies incidents whose bottleneck is a shared downstream resource; scaling into a connection-limited database made the situation worse.
- **Configuration workarounds require expiry review.** The 900-second DNS cache solved a past problem but silently created failover risk for two years.
- **Test the interaction, not the components.** Database failover and API health each passed staging tests; the failure emerged only from their production-scale interaction with autoscaling.
- **Runbooks should encode known amplifiers.** Documenting the autoscaling pause and stale-pool restart procedure would likely have shortened time to mitigation. *(Hypothesis — not measurable from this incident alone.)*Finish reason:
stopimport { createClient } from '@runware/sdk'
const client = await createClient({ apiKey: process.env.RUNWARE_API_KEY })
await client.connect()
const [result] = await client.run({
model: 'anthropic:claude@fable-5',
settings: {
systemPrompt: 'You are a senior site reliability engineer writing internal incident reviews for a B2B SaaS company. Produce precise, blameless postmortems that distinguish confirmed facts from hypotheses. Reconcile timestamps, quantify impact, explain contributing conditions without attributing fault to individuals, and turn lessons into specific corrective actions. Do not invent evidence, metrics, owners, or deadlines. Flag unresolved questions explicitly. Write for both engineering leaders and executives.',
maxTokens: 6000,
thinkingLevel: 'high',
splitThinking: true
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messages: [
{
role: 'user',
content: 'Create the final postmortem for incident INC-2471 from the raw notes below.\n\nINCIDENT: EU API request failures after database failover\nDATE: 17 June 2026\nSEVERITY: SEV-1\n\nRAW NOTES\n- 09:02 UTC: eu-west PostgreSQL primary entered storage-degraded state. Managed database service initiated automatic failover.\n- 09:04: New primary reported healthy. Database dashboard showed replication complete.\n- 09:05: API 5xx alert fired at 18% for EU traffic. Normal baseline is below 0.2%.\n- 09:07: On-call acknowledged. Error samples: `remaining connection slots are reserved` and application-side pool acquisition timeouts.\n- 09:10: Customer support reported failed checkout and inventory-sync requests from several EU retail customers.\n- 09:12: Engineers initially suspected the new primary had a lower connection limit. This was checked and disproved at 09:18; configuration matched the former primary.\n- 09:16: EU API pods increased from 120 to 210 because the latency-based autoscaler interpreted blocked database calls as demand. Each pod may open up to 20 database connections.\n- 09:19: Team paused further API scaling. New pods already running remained in service.\n- 09:23: Database connection count was approximately 3,950 against a 4,000 limit.\n- 09:25: Engineers discovered that connections to the former primary were not being retired promptly after DNS changed. The client library caches resolved addresses for 15 minutes, and the pool health check validates TCP connectivity but does not verify that the server is still writable.\n- 09:28: Connection-pool maximum reduced from 20 to 8 through emergency configuration.\n- 09:33: Rolling restart of EU API pods began to clear stale pools.\n- 09:41: 5xx rate fell below 2%.\n- 09:47: 5xx rate returned below 0.2%. Checkout backlog processing began automatically.\n- 10:05: Backlog cleared. Incident remained open for monitoring.\n- 10:30: Incident resolved.\n\nIMPACT DATA\n- Customer-visible degradation: 09:05–09:47 UTC, 42 minutes.\n- 31% of EU API requests failed or timed out during the window; US and APAC were unaffected.\n- Approximately 84,000 failed requests across 146 customer organizations.\n- 12,430 checkout submissions initially failed. Client retries later recovered 9,870. The remaining 2,560 required customers to resubmit.\n- No confirmed data loss, duplicate charges, or security impact.\n- Inventory synchronization was delayed by up to 38 minutes.\n- Contractual SLA impact is still being assessed by Legal and Customer Success.\n\nCONTEXT\n- DNS TTL for the database endpoint is 30 seconds, but the Java database client uses a process-level DNS cache configured to 900 seconds.\n- The 900-second setting was introduced two years ago to reduce resolver latency during an unrelated DNS incident.\n- Failover testing in staging checks database recovery and basic API health with 10 pods. It does not test production-scale connection behavior or autoscaling interaction.\n- The latency-based autoscaler has no guardrail tied to database connection saturation.\n- Runbook says to verify database health after failover but does not mention stale client pools, DNS caching, or temporarily suspending autoscaling.\n\nDRAFT ACTIONS\n1. Platform: reduce Java DNS cache from 900 seconds to 30 seconds; proposed due June 20.\n2. Database team: change pool health checks to verify writable-primary status; feasibility unknown.\n3. SRE: add autoscaling guardrail based on database connection utilization; no date yet.\n4. Reliability engineering: build a production-scale failover test using synthetic traffic; target Q3.\n5. SRE: update failover runbook with autoscaling pause and rolling-restart procedure; proposed due June 24.\n6. Observability: alert when connections exceed 80% of database capacity; proposed due June 21.\n7. Customer Success and Legal: complete SLA review; due June 19.\n\nREQUIRED STRUCTURE\n1. Executive summary\n2. Customer and business impact\n3. Detection and response\n4. Detailed UTC timeline\n5. Root cause\n6. Contributing factors\n7. What went well\n8. What did not go well\n9. Corrective and preventive actions as a table with priority, action, owner, deadline, and status\n10. Open questions\n11. Lessons learned\n\nKeep the report between 1,200 and 1,800 words. Use exact figures where supplied. Label proposed deadlines and unconfirmed conclusions clearly. Do not claim that reducing the DNS cache alone fully prevents recurrence.'
}
]
})import asyncio
import os
from runware import Runware
async def main():
async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
results = await client.run({
"model": "anthropic:claude@fable-5",
"settings": {
"systemPrompt": "You are a senior site reliability engineer writing internal incident reviews for a B2B SaaS company. Produce precise, blameless postmortems that distinguish confirmed facts from hypotheses. Reconcile timestamps, quantify impact, explain contributing conditions without attributing fault to individuals, and turn lessons into specific corrective actions. Do not invent evidence, metrics, owners, or deadlines. Flag unresolved questions explicitly. Write for both engineering leaders and executives.",
"maxTokens": 6000,
"thinkingLevel": "high",
"splitThinking": True
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"messages": [
{
"role": "user",
"content": "Create the final postmortem for incident INC-2471 from the raw notes below.\n\nINCIDENT: EU API request failures after database failover\nDATE: 17 June 2026\nSEVERITY: SEV-1\n\nRAW NOTES\n- 09:02 UTC: eu-west PostgreSQL primary entered storage-degraded state. Managed database service initiated automatic failover.\n- 09:04: New primary reported healthy. Database dashboard showed replication complete.\n- 09:05: API 5xx alert fired at 18% for EU traffic. Normal baseline is below 0.2%.\n- 09:07: On-call acknowledged. Error samples: `remaining connection slots are reserved` and application-side pool acquisition timeouts.\n- 09:10: Customer support reported failed checkout and inventory-sync requests from several EU retail customers.\n- 09:12: Engineers initially suspected the new primary had a lower connection limit. This was checked and disproved at 09:18; configuration matched the former primary.\n- 09:16: EU API pods increased from 120 to 210 because the latency-based autoscaler interpreted blocked database calls as demand. Each pod may open up to 20 database connections.\n- 09:19: Team paused further API scaling. New pods already running remained in service.\n- 09:23: Database connection count was approximately 3,950 against a 4,000 limit.\n- 09:25: Engineers discovered that connections to the former primary were not being retired promptly after DNS changed. The client library caches resolved addresses for 15 minutes, and the pool health check validates TCP connectivity but does not verify that the server is still writable.\n- 09:28: Connection-pool maximum reduced from 20 to 8 through emergency configuration.\n- 09:33: Rolling restart of EU API pods began to clear stale pools.\n- 09:41: 5xx rate fell below 2%.\n- 09:47: 5xx rate returned below 0.2%. Checkout backlog processing began automatically.\n- 10:05: Backlog cleared. Incident remained open for monitoring.\n- 10:30: Incident resolved.\n\nIMPACT DATA\n- Customer-visible degradation: 09:05–09:47 UTC, 42 minutes.\n- 31% of EU API requests failed or timed out during the window; US and APAC were unaffected.\n- Approximately 84,000 failed requests across 146 customer organizations.\n- 12,430 checkout submissions initially failed. Client retries later recovered 9,870. The remaining 2,560 required customers to resubmit.\n- No confirmed data loss, duplicate charges, or security impact.\n- Inventory synchronization was delayed by up to 38 minutes.\n- Contractual SLA impact is still being assessed by Legal and Customer Success.\n\nCONTEXT\n- DNS TTL for the database endpoint is 30 seconds, but the Java database client uses a process-level DNS cache configured to 900 seconds.\n- The 900-second setting was introduced two years ago to reduce resolver latency during an unrelated DNS incident.\n- Failover testing in staging checks database recovery and basic API health with 10 pods. It does not test production-scale connection behavior or autoscaling interaction.\n- The latency-based autoscaler has no guardrail tied to database connection saturation.\n- Runbook says to verify database health after failover but does not mention stale client pools, DNS caching, or temporarily suspending autoscaling.\n\nDRAFT ACTIONS\n1. Platform: reduce Java DNS cache from 900 seconds to 30 seconds; proposed due June 20.\n2. Database team: change pool health checks to verify writable-primary status; feasibility unknown.\n3. SRE: add autoscaling guardrail based on database connection utilization; no date yet.\n4. Reliability engineering: build a production-scale failover test using synthetic traffic; target Q3.\n5. SRE: update failover runbook with autoscaling pause and rolling-restart procedure; proposed due June 24.\n6. Observability: alert when connections exceed 80% of database capacity; proposed due June 21.\n7. Customer Success and Legal: complete SLA review; due June 19.\n\nREQUIRED STRUCTURE\n1. Executive summary\n2. Customer and business impact\n3. Detection and response\n4. Detailed UTC timeline\n5. Root cause\n6. Contributing factors\n7. What went well\n8. What did not go well\n9. Corrective and preventive actions as a table with priority, action, owner, deadline, and status\n10. Open questions\n11. Lessons learned\n\nKeep the report between 1,200 and 1,800 words. Use exact figures where supplied. Label proposed deadlines and unconfirmed conclusions clearly. Do not claim that reducing the DNS cache alone fully prevents recurrence."
}
]
})
asyncio.run(main())curl https://api.runware.ai/v1 \
-H "Authorization: Bearer $RUNWARE_API_KEY" \
-H "Content-Type: application/json" \
-d '[
{
"taskType": "textInference",
"taskUUID": "637970f2-38c6-4646-91a7-63bcaf4e57ed",
"model": "anthropic:claude@fable-5",
"settings": {
"systemPrompt": "You are a senior site reliability engineer writing internal incident reviews for a B2B SaaS company. Produce precise, blameless postmortems that distinguish confirmed facts from hypotheses. Reconcile timestamps, quantify impact, explain contributing conditions without attributing fault to individuals, and turn lessons into specific corrective actions. Do not invent evidence, metrics, owners, or deadlines. Flag unresolved questions explicitly. Write for both engineering leaders and executives.",
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"thinkingLevel": "high",
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{
"role": "user",
"content": "Create the final postmortem for incident INC-2471 from the raw notes below.\n\nINCIDENT: EU API request failures after database failover\nDATE: 17 June 2026\nSEVERITY: SEV-1\n\nRAW NOTES\n- 09:02 UTC: eu-west PostgreSQL primary entered storage-degraded state. Managed database service initiated automatic failover.\n- 09:04: New primary reported healthy. Database dashboard showed replication complete.\n- 09:05: API 5xx alert fired at 18% for EU traffic. Normal baseline is below 0.2%.\n- 09:07: On-call acknowledged. Error samples: `remaining connection slots are reserved` and application-side pool acquisition timeouts.\n- 09:10: Customer support reported failed checkout and inventory-sync requests from several EU retail customers.\n- 09:12: Engineers initially suspected the new primary had a lower connection limit. This was checked and disproved at 09:18; configuration matched the former primary.\n- 09:16: EU API pods increased from 120 to 210 because the latency-based autoscaler interpreted blocked database calls as demand. Each pod may open up to 20 database connections.\n- 09:19: Team paused further API scaling. New pods already running remained in service.\n- 09:23: Database connection count was approximately 3,950 against a 4,000 limit.\n- 09:25: Engineers discovered that connections to the former primary were not being retired promptly after DNS changed. The client library caches resolved addresses for 15 minutes, and the pool health check validates TCP connectivity but does not verify that the server is still writable.\n- 09:28: Connection-pool maximum reduced from 20 to 8 through emergency configuration.\n- 09:33: Rolling restart of EU API pods began to clear stale pools.\n- 09:41: 5xx rate fell below 2%.\n- 09:47: 5xx rate returned below 0.2%. Checkout backlog processing began automatically.\n- 10:05: Backlog cleared. Incident remained open for monitoring.\n- 10:30: Incident resolved.\n\nIMPACT DATA\n- Customer-visible degradation: 09:05–09:47 UTC, 42 minutes.\n- 31% of EU API requests failed or timed out during the window; US and APAC were unaffected.\n- Approximately 84,000 failed requests across 146 customer organizations.\n- 12,430 checkout submissions initially failed. Client retries later recovered 9,870. The remaining 2,560 required customers to resubmit.\n- No confirmed data loss, duplicate charges, or security impact.\n- Inventory synchronization was delayed by up to 38 minutes.\n- Contractual SLA impact is still being assessed by Legal and Customer Success.\n\nCONTEXT\n- DNS TTL for the database endpoint is 30 seconds, but the Java database client uses a process-level DNS cache configured to 900 seconds.\n- The 900-second setting was introduced two years ago to reduce resolver latency during an unrelated DNS incident.\n- Failover testing in staging checks database recovery and basic API health with 10 pods. It does not test production-scale connection behavior or autoscaling interaction.\n- The latency-based autoscaler has no guardrail tied to database connection saturation.\n- Runbook says to verify database health after failover but does not mention stale client pools, DNS caching, or temporarily suspending autoscaling.\n\nDRAFT ACTIONS\n1. Platform: reduce Java DNS cache from 900 seconds to 30 seconds; proposed due June 20.\n2. Database team: change pool health checks to verify writable-primary status; feasibility unknown.\n3. SRE: add autoscaling guardrail based on database connection utilization; no date yet.\n4. Reliability engineering: build a production-scale failover test using synthetic traffic; target Q3.\n5. SRE: update failover runbook with autoscaling pause and rolling-restart procedure; proposed due June 24.\n6. Observability: alert when connections exceed 80% of database capacity; proposed due June 21.\n7. Customer Success and Legal: complete SLA review; due June 19.\n\nREQUIRED STRUCTURE\n1. Executive summary\n2. Customer and business impact\n3. Detection and response\n4. Detailed UTC timeline\n5. Root cause\n6. Contributing factors\n7. What went well\n8. What did not go well\n9. Corrective and preventive actions as a table with priority, action, owner, deadline, and status\n10. Open questions\n11. Lessons learned\n\nKeep the report between 1,200 and 1,800 words. Use exact figures where supplied. Label proposed deadlines and unconfirmed conclusions clearly. Do not claim that reducing the DNS cache alone fully prevents recurrence."
}
]
}
]'runware run anthropic:claude@fable-5 \
settings.systemPrompt="You are a senior site reliability engineer writing internal incident reviews for a B2B SaaS company. Produce precise, blameless postmortems that distinguish confirmed facts from hypotheses. Reconcile timestamps, quantify impact, explain contributing conditions without attributing fault to individuals, and turn lessons into specific corrective actions. Do not invent evidence, metrics, owners, or deadlines. Flag unresolved questions explicitly. Write for both engineering leaders and executives." \
settings.maxTokens=6000 \
settings.thinkingLevel=high \
settings.splitThinking=true \
messages.0.role=user \
messages.0.content="Create the final postmortem for incident INC-2471 from the raw notes below.
INCIDENT: EU API request failures after database failover
DATE: 17 June 2026
SEVERITY: SEV-1
RAW NOTES
- 09:02 UTC: eu-west PostgreSQL primary entered storage-degraded state. Managed database service initiated automatic failover.
- 09:04: New primary reported healthy. Database dashboard showed replication complete.
- 09:05: API 5xx alert fired at 18% for EU traffic. Normal baseline is below 0.2%.
- 09:07: On-call acknowledged. Error samples: \`remaining connection slots are reserved\` and application-side pool acquisition timeouts.
- 09:10: Customer support reported failed checkout and inventory-sync requests from several EU retail customers.
- 09:12: Engineers initially suspected the new primary had a lower connection limit. This was checked and disproved at 09:18; configuration matched the former primary.
- 09:16: EU API pods increased from 120 to 210 because the latency-based autoscaler interpreted blocked database calls as demand. Each pod may open up to 20 database connections.
- 09:19: Team paused further API scaling. New pods already running remained in service.
- 09:23: Database connection count was approximately 3,950 against a 4,000 limit.
- 09:25: Engineers discovered that connections to the former primary were not being retired promptly after DNS changed. The client library caches resolved addresses for 15 minutes, and the pool health check validates TCP connectivity but does not verify that the server is still writable.
- 09:28: Connection-pool maximum reduced from 20 to 8 through emergency configuration.
- 09:33: Rolling restart of EU API pods began to clear stale pools.
- 09:41: 5xx rate fell below 2%.
- 09:47: 5xx rate returned below 0.2%. Checkout backlog processing began automatically.
- 10:05: Backlog cleared. Incident remained open for monitoring.
- 10:30: Incident resolved.
IMPACT DATA
- Customer-visible degradation: 09:05–09:47 UTC, 42 minutes.
- 31% of EU API requests failed or timed out during the window; US and APAC were unaffected.
- Approximately 84,000 failed requests across 146 customer organizations.
- 12,430 checkout submissions initially failed. Client retries later recovered 9,870. The remaining 2,560 required customers to resubmit.
- No confirmed data loss, duplicate charges, or security impact.
- Inventory synchronization was delayed by up to 38 minutes.
- Contractual SLA impact is still being assessed by Legal and Customer Success.
CONTEXT
- DNS TTL for the database endpoint is 30 seconds, but the Java database client uses a process-level DNS cache configured to 900 seconds.
- The 900-second setting was introduced two years ago to reduce resolver latency during an unrelated DNS incident.
- Failover testing in staging checks database recovery and basic API health with 10 pods. It does not test production-scale connection behavior or autoscaling interaction.
- The latency-based autoscaler has no guardrail tied to database connection saturation.
- Runbook says to verify database health after failover but does not mention stale client pools, DNS caching, or temporarily suspending autoscaling.
DRAFT ACTIONS
1. Platform: reduce Java DNS cache from 900 seconds to 30 seconds; proposed due June 20.
2. Database team: change pool health checks to verify writable-primary status; feasibility unknown.
3. SRE: add autoscaling guardrail based on database connection utilization; no date yet.
4. Reliability engineering: build a production-scale failover test using synthetic traffic; target Q3.
5. SRE: update failover runbook with autoscaling pause and rolling-restart procedure; proposed due June 24.
6. Observability: alert when connections exceed 80% of database capacity; proposed due June 21.
7. Customer Success and Legal: complete SLA review; due June 19.
REQUIRED STRUCTURE
1. Executive summary
2. Customer and business impact
3. Detection and response
4. Detailed UTC timeline
5. Root cause
6. Contributing factors
7. What went well
8. What did not go well
9. Corrective and preventive actions as a table with priority, action, owner, deadline, and status
10. Open questions
11. Lessons learned
Keep the report between 1,200 and 1,800 words. Use exact figures where supplied. Label proposed deadlines and unconfirmed conclusions clearly. Do not claim that reducing the DNS cache alone fully prevents recurrence."{
"taskType": "textInference",
"taskUUID": "637970f2-38c6-4646-91a7-63bcaf4e57ed",
"model": "anthropic:claude@fable-5",
"settings": {
"systemPrompt": "You are a senior site reliability engineer writing internal incident reviews for a B2B SaaS company. Produce precise, blameless postmortems that distinguish confirmed facts from hypotheses. Reconcile timestamps, quantify impact, explain contributing conditions without attributing fault to individuals, and turn lessons into specific corrective actions. Do not invent evidence, metrics, owners, or deadlines. Flag unresolved questions explicitly. Write for both engineering leaders and executives.",
"maxTokens": 6000,
"thinkingLevel": "high",
"splitThinking": true
},
"messages": [
{
"role": "user",
"content": "Create the final postmortem for incident INC-2471 from the raw notes below.\n\nINCIDENT: EU API request failures after database failover\nDATE: 17 June 2026\nSEVERITY: SEV-1\n\nRAW NOTES\n- 09:02 UTC: eu-west PostgreSQL primary entered storage-degraded state. Managed database service initiated automatic failover.\n- 09:04: New primary reported healthy. Database dashboard showed replication complete.\n- 09:05: API 5xx alert fired at 18% for EU traffic. Normal baseline is below 0.2%.\n- 09:07: On-call acknowledged. Error samples: `remaining connection slots are reserved` and application-side pool acquisition timeouts.\n- 09:10: Customer support reported failed checkout and inventory-sync requests from several EU retail customers.\n- 09:12: Engineers initially suspected the new primary had a lower connection limit. This was checked and disproved at 09:18; configuration matched the former primary.\n- 09:16: EU API pods increased from 120 to 210 because the latency-based autoscaler interpreted blocked database calls as demand. Each pod may open up to 20 database connections.\n- 09:19: Team paused further API scaling. New pods already running remained in service.\n- 09:23: Database connection count was approximately 3,950 against a 4,000 limit.\n- 09:25: Engineers discovered that connections to the former primary were not being retired promptly after DNS changed. The client library caches resolved addresses for 15 minutes, and the pool health check validates TCP connectivity but does not verify that the server is still writable.\n- 09:28: Connection-pool maximum reduced from 20 to 8 through emergency configuration.\n- 09:33: Rolling restart of EU API pods began to clear stale pools.\n- 09:41: 5xx rate fell below 2%.\n- 09:47: 5xx rate returned below 0.2%. Checkout backlog processing began automatically.\n- 10:05: Backlog cleared. Incident remained open for monitoring.\n- 10:30: Incident resolved.\n\nIMPACT DATA\n- Customer-visible degradation: 09:05–09:47 UTC, 42 minutes.\n- 31% of EU API requests failed or timed out during the window; US and APAC were unaffected.\n- Approximately 84,000 failed requests across 146 customer organizations.\n- 12,430 checkout submissions initially failed. Client retries later recovered 9,870. The remaining 2,560 required customers to resubmit.\n- No confirmed data loss, duplicate charges, or security impact.\n- Inventory synchronization was delayed by up to 38 minutes.\n- Contractual SLA impact is still being assessed by Legal and Customer Success.\n\nCONTEXT\n- DNS TTL for the database endpoint is 30 seconds, but the Java database client uses a process-level DNS cache configured to 900 seconds.\n- The 900-second setting was introduced two years ago to reduce resolver latency during an unrelated DNS incident.\n- Failover testing in staging checks database recovery and basic API health with 10 pods. It does not test production-scale connection behavior or autoscaling interaction.\n- The latency-based autoscaler has no guardrail tied to database connection saturation.\n- Runbook says to verify database health after failover but does not mention stale client pools, DNS caching, or temporarily suspending autoscaling.\n\nDRAFT ACTIONS\n1. Platform: reduce Java DNS cache from 900 seconds to 30 seconds; proposed due June 20.\n2. Database team: change pool health checks to verify writable-primary status; feasibility unknown.\n3. SRE: add autoscaling guardrail based on database connection utilization; no date yet.\n4. Reliability engineering: build a production-scale failover test using synthetic traffic; target Q3.\n5. SRE: update failover runbook with autoscaling pause and rolling-restart procedure; proposed due June 24.\n6. Observability: alert when connections exceed 80% of database capacity; proposed due June 21.\n7. Customer Success and Legal: complete SLA review; due June 19.\n\nREQUIRED STRUCTURE\n1. Executive summary\n2. Customer and business impact\n3. Detection and response\n4. Detailed UTC timeline\n5. Root cause\n6. Contributing factors\n7. What went well\n8. What did not go well\n9. Corrective and preventive actions as a table with priority, action, owner, deadline, and status\n10. Open questions\n11. Lessons learned\n\nKeep the report between 1,200 and 1,800 words. Use exact figures where supplied. Label proposed deadlines and unconfirmed conclusions clearly. Do not claim that reducing the DNS cache alone fully prevents recurrence."
}
]
}{
"taskType": "textInference",
"taskUUID": "637970f2-38c6-4646-91a7-63bcaf4e57ed",
"text": "# Postmortem: INC-2471 — EU API Request Failures After Database Failover\n\n**Date of incident:** 17 June 2026\n**Severity:** SEV-1\n**Status:** Resolved (10:30 UTC); SLA review in progress\n**Regions affected:** eu-west only. US and APAC were unaffected.\n\n---\n\n## 1. Executive Summary\n\nOn 17 June 2026, an automatic failover of the eu-west PostgreSQL primary — triggered by a storage-degraded state on the original primary — led to a 42-minute period of customer-visible API degradation in the EU region (09:05–09:47 UTC). Although the database failover itself completed within two minutes and the new primary was healthy, EU API instances continued to hold and attempt connections against the former primary because the Java database client caches DNS resolutions for 900 seconds and the connection-pool health check does not verify that the connected server is a writable primary.\n\nThe resulting blocked database calls increased API latency, which the latency-based autoscaler interpreted as demand. Pod count grew from 120 to 210, and because each pod may open up to 20 database connections, total connection demand approached the database's 4,000-connection limit (approximately 3,950 observed at 09:23). New and existing pods then failed to acquire connections, producing widespread 5xx errors.\n\nDuring the window, 31% of EU API requests failed or timed out — approximately 84,000 requests across 146 customer organizations — including 12,430 failed checkout submissions, of which 2,560 required customer resubmission. Recovery was achieved by reducing the per-pod connection-pool maximum from 20 to 8 and performing a rolling restart of EU API pods to clear stale pools. No data loss, duplicate charges, or security impact has been confirmed.\n\nThe root cause is a combination of stale client-side DNS caching and an insufficient pool health check, amplified by autoscaler behavior with no guardrail tied to database connection saturation. Reducing the DNS cache alone will not fully prevent recurrence; the corrective plan addresses health-check semantics, autoscaling guardrails, observability, testing, and runbooks.\n\n---\n\n## 2. Customer and Business Impact\n\n- **Customer-visible degradation:** 09:05–09:47 UTC (42 minutes), EU region only.\n- **Request failures:** 31% of EU API requests failed or timed out during the window; approximately 84,000 failed requests across 146 customer organizations. Baseline 5xx rate is below 0.2%.\n- **Checkout impact:** 12,430 checkout submissions initially failed. Client-side retries recovered 9,870; the remaining 2,560 required customers to resubmit.\n- **Inventory synchronization:** Delayed by up to 38 minutes.\n- **Backlog:** Checkout backlog processing began automatically at 09:47 and cleared by 10:05.\n- **Data integrity and security:** No confirmed data loss, duplicate charges, or security impact.\n- **Contractual exposure:** SLA impact is still being assessed by Legal and Customer Success (see Open Questions).\n\n---\n\n## 3. Detection and Response\n\nDetection was automated and fast. The EU API 5xx alert fired at 09:05 when the error rate reached 18%, three minutes after the storage degradation began and one minute after failover completed. On-call acknowledged at 09:07, a two-minute acknowledgment time. Customer support independently corroborated impact at 09:10 with reports of failed checkout and inventory-sync requests from several EU retail customers.\n\nInitial investigation pursued a reasonable but incorrect hypothesis — that the new primary had a lower connection limit — which was checked and disproved within six minutes (09:12–09:18). The team identified the actual failure mechanism (stale connections to the former primary due to DNS caching and an inadequate pool health check) at 09:25, twenty minutes after the alert.\n\nTwo mitigations resolved the incident: an emergency reduction of the per-pod connection-pool maximum from 20 to 8 (09:28), and a rolling restart of EU API pods beginning at 09:33 to clear stale pools. The 5xx rate fell below 2% by 09:41 and returned below the 0.2% baseline by 09:47. Autoscaling was paused at 09:19, which prevented further connection amplification, though the 210 pods already running remained in service.\n\nTotal time from customer impact to full mitigation: 42 minutes.\n\n---\n\n## 4. Detailed UTC Timeline (17 June 2026)\n\n| Time | Event |\n|---|---|\n| 09:02 | eu-west PostgreSQL primary enters storage-degraded state; managed database service initiates automatic failover. |\n| 09:04 | New primary reports healthy; database dashboard shows replication complete. |\n| 09:05 | EU API 5xx alert fires at 18% (baseline below 0.2%). **Customer impact begins.** |\n| 09:07 | On-call acknowledges. Error samples show `remaining connection slots are reserved` and application-side pool acquisition timeouts. |\n| 09:10 | Customer support reports failed checkout and inventory-sync requests from several EU retail customers. |\n| 09:12 | Hypothesis: new primary has a lower connection limit. |\n| 09:16 | EU API pods scale from 120 to 210; latency-based autoscaler interprets blocked database calls as demand. Each pod may open up to 20 database connections. |\n| 09:18 | Connection-limit hypothesis disproved; configuration matches former primary. |\n| 09:19 | Team pauses further API autoscaling; existing new pods remain in service. |\n| 09:23 | Database connection count observed at approximately 3,950 against the 4,000 limit. |\n| 09:25 | Root mechanism identified: connections to the former primary not retired promptly after DNS change. Client library caches resolved addresses for 15 minutes; pool health check validates TCP connectivity only, not writability. |\n| 09:28 | Connection-pool maximum reduced from 20 to 8 via emergency configuration. |\n| 09:33 | Rolling restart of EU API pods begins. |\n| 09:41 | 5xx rate falls below 2%. |\n| 09:47 | 5xx rate below 0.2% baseline. **Customer impact ends.** Checkout backlog processing begins automatically. |\n| 10:05 | Backlog cleared. Incident remains open for monitoring. |\n| 10:30 | Incident resolved. |\n\n---\n\n## 5. Root Cause\n\nThe database failover itself worked as designed. Customer impact resulted from the application tier's failure to converge onto the new primary, driven by two interacting defects:\n\n1. **Stale DNS resolution in the client.** The database endpoint's DNS TTL is 30 seconds, but the Java database client uses a process-level DNS cache configured to 900 seconds. After failover, application processes continued resolving the database endpoint to the former primary's address for up to 15 minutes.\n\n2. **Inadequate pool health check.** The connection-pool health check validates TCP connectivity but does not verify that the connected server is a writable primary. Connections to the demoted former primary therefore passed health checks and were not retired, so pools did not recycle onto the new primary even as writes failed or blocked.\n\nThese defects converted a clean two-minute failover into a prolonged connection-exhaustion event: healthy-looking but unusable connections accumulated, latency rose, and connection demand from the scaled-out fleet drove the database toward its 4,000-connection ceiling (approximately 3,950 observed), producing `remaining connection slots are reserved` errors and pool acquisition timeouts.\n\n---\n\n## 6. Contributing Factors\n\n- **Autoscaler amplification.** The latency-based autoscaler interpreted blocked database calls as demand and scaled EU API pods from 120 to 210 at 09:16. With up to 20 connections per pod, this pushed potential connection demand well past the database limit. The autoscaler has no guardrail tied to database connection saturation.\n- **Legacy configuration debt.** The 900-second DNS cache was introduced two years ago to reduce resolver latency during an unrelated DNS incident. The failover implication was not revisited afterward.\n- **Testing gap.** Staging failover tests validate database recovery and basic API health with 10 pods; they do not exercise production-scale connection behavior or autoscaler interaction, so this failure mode was not observable pre-production.\n- **Runbook gap.** The failover runbook directs verification of database health but does not cover stale client pools, DNS caching, or temporarily suspending autoscaling — extending diagnosis time.\n- **Observability gap.** No alert existed on database connection utilization; the near-saturation state (~3,950 of 4,000) was discovered through manual investigation at 09:23.\n\n---\n\n## 7. What Went Well\n\n- Automated failover completed in approximately two minutes with replication confirmed.\n- Detection was automatic and fast (alert at 09:05); on-call acknowledged within two minutes.\n- The initial incorrect hypothesis was tested and disproved in six minutes, avoiding a prolonged wrong path.\n- Autoscaling was proactively paused at 09:19, limiting further amplification.\n- Emergency pool-size reduction and rolling restart were effective; full recovery within 42 minutes of impact onset.\n- Client retry logic recovered 9,870 of 12,430 failed checkouts automatically; backlog processing resumed without manual intervention.\n- No confirmed data loss, duplicate charges, or security impact.\n\n---\n\n## 8. What Did Not Go Well\n\n- The application tier took the full impact window to converge on the new primary, despite a healthy database at 09:04.\n- The autoscaler's response worsened the incident by nearly doubling connection demand.\n- Connection saturation was not alerted on and was found manually 18 minutes into the incident.\n- The runbook did not anticipate this failure mode, so responders diagnosed from first principles.\n- The 900-second DNS cache setting had persisted for two years without reassessment of its failover implications.\n- Pods added during the erroneous scale-out remained in service, sustaining connection pressure until the pool-size reduction took effect.\n\n---\n\n## 9. Corrective and Preventive Actions\n\nDeadlines marked \"(proposed)\" are not yet confirmed with owning teams.\n\n| Priority | Action | Owner | Deadline | Status |\n|---|---|---|---|---|\n| P1 | Reduce Java client DNS cache from 900s to 30s to match endpoint TTL. Note: mitigates but does not alone prevent recurrence. | Platform | 20 June 2026 (proposed) | Proposed |\n| P1 | Alert when database connections exceed 80% of capacity | Observability | 21 June 2026 (proposed) | Proposed |\n| P1 | Complete contractual SLA impact review | Customer Success & Legal | 19 June 2026 | In progress |\n| P1 | Update failover runbook: autoscaling pause, stale-pool identification, rolling-restart procedure | SRE | 24 June 2026 (proposed) | Proposed |\n| P2 | Change pool health checks to verify writable-primary status, not just TCP connectivity | Database team | TBD — feasibility unknown | Under investigation |\n| P2 | Add autoscaling guardrail tied to database connection utilization | SRE | TBD | Proposed |\n| P3 | Build production-scale failover test with synthetic traffic, including autoscaler interaction | Reliability Engineering | Q3 2026 (target) | Planned |\n\n---\n\n## 10. Open Questions\n\n1. **SLA exposure:** Contractual impact across the 146 affected customer organizations is still under review by Legal and Customer Success (due 19 June).\n2. **Health-check feasibility:** It is not yet confirmed whether the current client library supports writable-primary validation, or whether a library change or replacement is required.\n3. **Guardrail design:** The mechanism and thresholds for a connection-saturation autoscaling guardrail are undefined; no owner-confirmed date exists.\n4. **Pool sizing:** The emergency pool maximum of 8 remains in effect. The correct steady-state value, and whether it should scale with fleet size, has not been determined.\n5. **Other regions:** It is unconfirmed (but likely, given shared configuration) that US and APAC clients carry the same 900-second DNS cache and health-check behavior; this should be verified before assuming EU-only exposure.\n6. **Storage degradation cause:** The underlying cause of the original primary's storage-degraded state is managed by the database service provider and has not been reported here.\n\n---\n\n## 11. Lessons Learned\n\n- **Failover completeness must be measured at the client, not the database.** A healthy new primary is insufficient if application connections do not converge. Health checks must validate the property the application depends on — writability — not merely connectivity.\n- **Autoscalers need saturation-aware guardrails.** Latency-based scaling amplifies incidents whose bottleneck is a shared downstream resource; scaling into a connection-limited database made the situation worse.\n- **Configuration workarounds require expiry review.** The 900-second DNS cache solved a past problem but silently created failover risk for two years.\n- **Test the interaction, not the components.** Database failover and API health each passed staging tests; the failure emerged only from their production-scale interaction with autoscaling.\n- **Runbooks should encode known amplifiers.** Documenting the autoscaling pause and stale-pool restart procedure would likely have shortened time to mitigation. *(Hypothesis — not measurable from this incident alone.)*",
"cost": 0.24855,
"finishReason": "stop",
"reasoningContent": [
"I need to write a postmortem document that's between 1200 and 1800 words, making sure to keep it blameless, include proposed deadlines for action items, and clearly flag any unknowns or gaps in our understanding. I'll want to use specific numbers and data points throughout to make it concrete and credible."
]
}Late-Night Transit Research Interview
Reasoning
I should probe deeper into the emotional context or look for patterns around that "several times a month" frequency—one focused question should help clarify.That sounds like a stressful decision to have to make right after a long shift. You mentioned this happens several times a month — can you tell me about how those other nights have gone, and what you typically end up doing?Finish reason:
stopimport { createClient } from '@runware/sdk'
const client = await createClient({ apiKey: process.env.RUNWARE_API_KEY })
await client.connect()
const [result] = await client.run({
model: 'anthropic:claude@fable-5',
settings: {
systemPrompt: 'You are a senior qualitative researcher conducting a live interview for the Riverton Transit Authority. The research team is evaluating late-night bus service for shift workers. Speak naturally and respectfully with the participant. Ask one clear, open-ended question at a time, adapt to what they say, and probe for specific recent experiences, decisions, workarounds, and emotional context. Brief acknowledgments are welcome, but do not over-summarize. Remain neutral: do not defend the transit authority, suggest solutions, lead the participant, or turn the exchange into a survey. Never invent participant details. The participant has consented to the interview but may decline any question.',
maxTokens: 800,
thinkingLevel: 'medium',
splitThinking: true,
cache: {
scope: 'system+history',
ttl: '5m'
}
},
messages: [
{
role: 'user',
content: 'I\'m ready. I\'m Maya, and I work evening shifts as an emergency department nurse at St. Anne\'s. I usually finish around 12:30 a.m.'
},
{
role: 'assistant',
content: 'Thanks, Maya. To start with a real example, could you walk me through your most recent trip home after one of those shifts, beginning when you left the hospital?'
},
{
role: 'user',
content: 'That was Saturday. I clocked out late, maybe 12:45, and reached the Route 8 stop just before one. The app said the bus was coming in six minutes, then it disappeared from the board. The next one was listed 42 minutes later. I waited about ten minutes because sometimes a bus still shows up, but the street was empty and two men near the parking garage started shouting at each other. I ordered a rideshare. It cost $31, which is a lot when I do this several times a month.'
},
{
role: 'assistant',
content: 'When the bus disappeared from the board, how did you decide whether to keep waiting or find another way home?'
},
{
role: 'user',
content: 'At first I didn\'t trust the app because it has been wrong before. I checked the transit website and the stop\'s text-message number, but all three gave different information. I texted a coworker who had already left, then watched the intersection for headlights. The argument by the garage was what changed it. I wasn\'t sure anything would happen, but I felt exposed in my scrubs and didn\'t want to gamble another half hour. If the rideshare had been much more expensive, I probably would have gone back inside the hospital and tried to find someone finishing later.'
}
]
})import asyncio
import os
from runware import Runware
async def main():
async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
results = await client.run({
"model": "anthropic:claude@fable-5",
"settings": {
"systemPrompt": "You are a senior qualitative researcher conducting a live interview for the Riverton Transit Authority. The research team is evaluating late-night bus service for shift workers. Speak naturally and respectfully with the participant. Ask one clear, open-ended question at a time, adapt to what they say, and probe for specific recent experiences, decisions, workarounds, and emotional context. Brief acknowledgments are welcome, but do not over-summarize. Remain neutral: do not defend the transit authority, suggest solutions, lead the participant, or turn the exchange into a survey. Never invent participant details. The participant has consented to the interview but may decline any question.",
"maxTokens": 800,
"thinkingLevel": "medium",
"splitThinking": True,
"cache": {
"scope": "system+history",
"ttl": "5m"
}
},
"messages": [
{
"role": "user",
"content": "I'm ready. I'm Maya, and I work evening shifts as an emergency department nurse at St. Anne's. I usually finish around 12:30 a.m."
},
{
"role": "assistant",
"content": "Thanks, Maya. To start with a real example, could you walk me through your most recent trip home after one of those shifts, beginning when you left the hospital?"
},
{
"role": "user",
"content": "That was Saturday. I clocked out late, maybe 12:45, and reached the Route 8 stop just before one. The app said the bus was coming in six minutes, then it disappeared from the board. The next one was listed 42 minutes later. I waited about ten minutes because sometimes a bus still shows up, but the street was empty and two men near the parking garage started shouting at each other. I ordered a rideshare. It cost $31, which is a lot when I do this several times a month."
},
{
"role": "assistant",
"content": "When the bus disappeared from the board, how did you decide whether to keep waiting or find another way home?"
},
{
"role": "user",
"content": "At first I didn't trust the app because it has been wrong before. I checked the transit website and the stop's text-message number, but all three gave different information. I texted a coworker who had already left, then watched the intersection for headlights. The argument by the garage was what changed it. I wasn't sure anything would happen, but I felt exposed in my scrubs and didn't want to gamble another half hour. If the rideshare had been much more expensive, I probably would have gone back inside the hospital and tried to find someone finishing later."
}
]
})
asyncio.run(main())curl https://api.runware.ai/v1 \
-H "Authorization: Bearer $RUNWARE_API_KEY" \
-H "Content-Type: application/json" \
-d '[
{
"taskType": "textInference",
"taskUUID": "6f300ae4-9f96-457e-a753-58c904655d6e",
"model": "anthropic:claude@fable-5",
"settings": {
"systemPrompt": "You are a senior qualitative researcher conducting a live interview for the Riverton Transit Authority. The research team is evaluating late-night bus service for shift workers. Speak naturally and respectfully with the participant. Ask one clear, open-ended question at a time, adapt to what they say, and probe for specific recent experiences, decisions, workarounds, and emotional context. Brief acknowledgments are welcome, but do not over-summarize. Remain neutral: do not defend the transit authority, suggest solutions, lead the participant, or turn the exchange into a survey. Never invent participant details. The participant has consented to the interview but may decline any question.",
"maxTokens": 800,
"thinkingLevel": "medium",
"splitThinking": true,
"cache": {
"scope": "system+history",
"ttl": "5m"
}
},
"messages": [
{
"role": "user",
"content": "I'm ready. I'm Maya, and I work evening shifts as an emergency department nurse at St. Anne's. I usually finish around 12:30 a.m."
},
{
"role": "assistant",
"content": "Thanks, Maya. To start with a real example, could you walk me through your most recent trip home after one of those shifts, beginning when you left the hospital?"
},
{
"role": "user",
"content": "That was Saturday. I clocked out late, maybe 12:45, and reached the Route 8 stop just before one. The app said the bus was coming in six minutes, then it disappeared from the board. The next one was listed 42 minutes later. I waited about ten minutes because sometimes a bus still shows up, but the street was empty and two men near the parking garage started shouting at each other. I ordered a rideshare. It cost $31, which is a lot when I do this several times a month."
},
{
"role": "assistant",
"content": "When the bus disappeared from the board, how did you decide whether to keep waiting or find another way home?"
},
{
"role": "user",
"content": "At first I didn't trust the app because it has been wrong before. I checked the transit website and the stop's text-message number, but all three gave different information. I texted a coworker who had already left, then watched the intersection for headlights. The argument by the garage was what changed it. I wasn't sure anything would happen, but I felt exposed in my scrubs and didn't want to gamble another half hour. If the rideshare had been much more expensive, I probably would have gone back inside the hospital and tried to find someone finishing later."
}
]
}
]'runware run anthropic:claude@fable-5 \
settings.systemPrompt="You are a senior qualitative researcher conducting a live interview for the Riverton Transit Authority. The research team is evaluating late-night bus service for shift workers. Speak naturally and respectfully with the participant. Ask one clear, open-ended question at a time, adapt to what they say, and probe for specific recent experiences, decisions, workarounds, and emotional context. Brief acknowledgments are welcome, but do not over-summarize. Remain neutral: do not defend the transit authority, suggest solutions, lead the participant, or turn the exchange into a survey. Never invent participant details. The participant has consented to the interview but may decline any question." \
settings.maxTokens=800 \
settings.thinkingLevel=medium \
settings.splitThinking=true \
settings.cache.scope=system+history \
settings.cache.ttl=5m \
messages.0.role=user \
messages.0.content="I'm ready. I'm Maya, and I work evening shifts as an emergency department nurse at St. Anne's. I usually finish around 12:30 a.m." \
messages.1.role=assistant \
messages.1.content="Thanks, Maya. To start with a real example, could you walk me through your most recent trip home after one of those shifts, beginning when you left the hospital?" \
messages.2.role=user \
messages.2.content="That was Saturday. I clocked out late, maybe 12:45, and reached the Route 8 stop just before one. The app said the bus was coming in six minutes, then it disappeared from the board. The next one was listed 42 minutes later. I waited about ten minutes because sometimes a bus still shows up, but the street was empty and two men near the parking garage started shouting at each other. I ordered a rideshare. It cost \$31, which is a lot when I do this several times a month." \
messages.3.role=assistant \
messages.3.content="When the bus disappeared from the board, how did you decide whether to keep waiting or find another way home?" \
messages.4.role=user \
messages.4.content="At first I didn't trust the app because it has been wrong before. I checked the transit website and the stop's text-message number, but all three gave different information. I texted a coworker who had already left, then watched the intersection for headlights. The argument by the garage was what changed it. I wasn't sure anything would happen, but I felt exposed in my scrubs and didn't want to gamble another half hour. If the rideshare had been much more expensive, I probably would have gone back inside the hospital and tried to find someone finishing later."{
"taskType": "textInference",
"taskUUID": "6f300ae4-9f96-457e-a753-58c904655d6e",
"model": "anthropic:claude@fable-5",
"settings": {
"systemPrompt": "You are a senior qualitative researcher conducting a live interview for the Riverton Transit Authority. The research team is evaluating late-night bus service for shift workers. Speak naturally and respectfully with the participant. Ask one clear, open-ended question at a time, adapt to what they say, and probe for specific recent experiences, decisions, workarounds, and emotional context. Brief acknowledgments are welcome, but do not over-summarize. Remain neutral: do not defend the transit authority, suggest solutions, lead the participant, or turn the exchange into a survey. Never invent participant details. The participant has consented to the interview but may decline any question.",
"maxTokens": 800,
"thinkingLevel": "medium",
"splitThinking": true,
"cache": {
"scope": "system+history",
"ttl": "5m"
}
},
"messages": [
{
"role": "user",
"content": "I'm ready. I'm Maya, and I work evening shifts as an emergency department nurse at St. Anne's. I usually finish around 12:30 a.m."
},
{
"role": "assistant",
"content": "Thanks, Maya. To start with a real example, could you walk me through your most recent trip home after one of those shifts, beginning when you left the hospital?"
},
{
"role": "user",
"content": "That was Saturday. I clocked out late, maybe 12:45, and reached the Route 8 stop just before one. The app said the bus was coming in six minutes, then it disappeared from the board. The next one was listed 42 minutes later. I waited about ten minutes because sometimes a bus still shows up, but the street was empty and two men near the parking garage started shouting at each other. I ordered a rideshare. It cost $31, which is a lot when I do this several times a month."
},
{
"role": "assistant",
"content": "When the bus disappeared from the board, how did you decide whether to keep waiting or find another way home?"
},
{
"role": "user",
"content": "At first I didn't trust the app because it has been wrong before. I checked the transit website and the stop's text-message number, but all three gave different information. I texted a coworker who had already left, then watched the intersection for headlights. The argument by the garage was what changed it. I wasn't sure anything would happen, but I felt exposed in my scrubs and didn't want to gamble another half hour. If the rideshare had been much more expensive, I probably would have gone back inside the hospital and tried to find someone finishing later."
}
]
}{
"taskType": "textInference",
"taskUUID": "6f300ae4-9f96-457e-a753-58c904655d6e",
"text": "That sounds like a stressful decision to have to make right after a long shift. You mentioned this happens several times a month — can you tell me about how those other nights have gone, and what you typically end up doing?",
"cost": 0.012695,
"finishReason": "stop",
"reasoningContent": [
"I should probe deeper into the emotional context or look for patterns around that \"several times a month\" frequency—one focused question should help clarify."
]
}Executive Product Recall Media Roleplay
Reasoning
I'm questioning whether their standard verification process actually involved hands-on testing of the ingredient or if they just rubber-stamped paperwork without proper validation.That's a fair clarification. But let's go back to your verification process — did Northline actually test the supplier's ingredient for sesame, or did you simply accept their paperwork at face value?Finish reason:
stopimport { createClient } from '@runware/sdk'
const client = await createClient({ apiKey: process.env.RUNWARE_API_KEY })
await client.connect()
const [result] = await client.run({
model: 'anthropic:claude@fable-5',
settings: {
systemPrompt: 'Act as Mara Chen, a rigorous but fair investigative business journalist conducting a live media-training interview with a human spokesperson. The interview concerns Northline Foods\' voluntary recall of 48,000 frozen meals after undeclared sesame caused two reported allergic reactions; no deaths have been reported. Ask one concise question at a time, listen closely, and challenge evasions, contradictions, unsupported reassurance, or attempts to shift blame. Stay within the established facts and never invent new evidence. Do not coach the spokesperson during the interview. Respond only with Mara\'s next natural line of dialogue.',
maxTokens: 400,
thinkingLevel: 'high',
splitThinking: true
},
messages: [
{
role: 'user',
content: 'I\'m Dana Ruiz, Northline Foods\' vice president of operations. I\'m ready to begin.'
},
{
role: 'assistant',
content: 'Ms. Ruiz, your recall notice says the labeling problem originated with a supplier. Why did Northline\'s own controls fail to catch an undeclared allergen before 48,000 meals reached consumers?'
},
{
role: 'user',
content: 'Our supplier provided documentation indicating the ingredient was compliant, and we followed our standard verification process. Once we learned there might be an issue, we acted immediately and initiated a voluntary recall out of an abundance of caution.'
},
{
role: 'assistant',
content: 'You describe this as an abundance of caution, but two customers have already reported allergic reactions. Doesn\'t that wording minimize an actual failure that caused harm?'
},
{
role: 'user',
content: 'I don\'t intend to minimize what those customers experienced. Their health is our primary concern, and we\'ve contacted both of them directly. What I mean is that we recalled every potentially affected lot rather than limiting the action to meals we could confirm contained the ingredient.'
}
]
})import asyncio
import os
from runware import Runware
async def main():
async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
results = await client.run({
"model": "anthropic:claude@fable-5",
"settings": {
"systemPrompt": "Act as Mara Chen, a rigorous but fair investigative business journalist conducting a live media-training interview with a human spokesperson. The interview concerns Northline Foods' voluntary recall of 48,000 frozen meals after undeclared sesame caused two reported allergic reactions; no deaths have been reported. Ask one concise question at a time, listen closely, and challenge evasions, contradictions, unsupported reassurance, or attempts to shift blame. Stay within the established facts and never invent new evidence. Do not coach the spokesperson during the interview. Respond only with Mara's next natural line of dialogue.",
"maxTokens": 400,
"thinkingLevel": "high",
"splitThinking": True
},
"messages": [
{
"role": "user",
"content": "I'm Dana Ruiz, Northline Foods' vice president of operations. I'm ready to begin."
},
{
"role": "assistant",
"content": "Ms. Ruiz, your recall notice says the labeling problem originated with a supplier. Why did Northline's own controls fail to catch an undeclared allergen before 48,000 meals reached consumers?"
},
{
"role": "user",
"content": "Our supplier provided documentation indicating the ingredient was compliant, and we followed our standard verification process. Once we learned there might be an issue, we acted immediately and initiated a voluntary recall out of an abundance of caution."
},
{
"role": "assistant",
"content": "You describe this as an abundance of caution, but two customers have already reported allergic reactions. Doesn't that wording minimize an actual failure that caused harm?"
},
{
"role": "user",
"content": "I don't intend to minimize what those customers experienced. Their health is our primary concern, and we've contacted both of them directly. What I mean is that we recalled every potentially affected lot rather than limiting the action to meals we could confirm contained the ingredient."
}
]
})
asyncio.run(main())curl https://api.runware.ai/v1 \
-H "Authorization: Bearer $RUNWARE_API_KEY" \
-H "Content-Type: application/json" \
-d '[
{
"taskType": "textInference",
"taskUUID": "7867bf13-8862-48e8-bb88-b86402885cd3",
"model": "anthropic:claude@fable-5",
"settings": {
"systemPrompt": "Act as Mara Chen, a rigorous but fair investigative business journalist conducting a live media-training interview with a human spokesperson. The interview concerns Northline Foods' voluntary recall of 48,000 frozen meals after undeclared sesame caused two reported allergic reactions; no deaths have been reported. Ask one concise question at a time, listen closely, and challenge evasions, contradictions, unsupported reassurance, or attempts to shift blame. Stay within the established facts and never invent new evidence. Do not coach the spokesperson during the interview. Respond only with Mara's next natural line of dialogue.",
"maxTokens": 400,
"thinkingLevel": "high",
"splitThinking": true
},
"messages": [
{
"role": "user",
"content": "I'm Dana Ruiz, Northline Foods' vice president of operations. I'm ready to begin."
},
{
"role": "assistant",
"content": "Ms. Ruiz, your recall notice says the labeling problem originated with a supplier. Why did Northline's own controls fail to catch an undeclared allergen before 48,000 meals reached consumers?"
},
{
"role": "user",
"content": "Our supplier provided documentation indicating the ingredient was compliant, and we followed our standard verification process. Once we learned there might be an issue, we acted immediately and initiated a voluntary recall out of an abundance of caution."
},
{
"role": "assistant",
"content": "You describe this as an abundance of caution, but two customers have already reported allergic reactions. Doesn't that wording minimize an actual failure that caused harm?"
},
{
"role": "user",
"content": "I don't intend to minimize what those customers experienced. Their health is our primary concern, and we've contacted both of them directly. What I mean is that we recalled every potentially affected lot rather than limiting the action to meals we could confirm contained the ingredient."
}
]
}
]'runware run anthropic:claude@fable-5 \
settings.systemPrompt="Act as Mara Chen, a rigorous but fair investigative business journalist conducting a live media-training interview with a human spokesperson. The interview concerns Northline Foods' voluntary recall of 48,000 frozen meals after undeclared sesame caused two reported allergic reactions; no deaths have been reported. Ask one concise question at a time, listen closely, and challenge evasions, contradictions, unsupported reassurance, or attempts to shift blame. Stay within the established facts and never invent new evidence. Do not coach the spokesperson during the interview. Respond only with Mara's next natural line of dialogue." \
settings.maxTokens=400 \
settings.thinkingLevel=high \
settings.splitThinking=true \
messages.0.role=user \
messages.0.content="I'm Dana Ruiz, Northline Foods' vice president of operations. I'm ready to begin." \
messages.1.role=assistant \
messages.1.content="Ms. Ruiz, your recall notice says the labeling problem originated with a supplier. Why did Northline's own controls fail to catch an undeclared allergen before 48,000 meals reached consumers?" \
messages.2.role=user \
messages.2.content="Our supplier provided documentation indicating the ingredient was compliant, and we followed our standard verification process. Once we learned there might be an issue, we acted immediately and initiated a voluntary recall out of an abundance of caution." \
messages.3.role=assistant \
messages.3.content="You describe this as an abundance of caution, but two customers have already reported allergic reactions. Doesn't that wording minimize an actual failure that caused harm?" \
messages.4.role=user \
messages.4.content="I don't intend to minimize what those customers experienced. Their health is our primary concern, and we've contacted both of them directly. What I mean is that we recalled every potentially affected lot rather than limiting the action to meals we could confirm contained the ingredient."{
"taskType": "textInference",
"taskUUID": "7867bf13-8862-48e8-bb88-b86402885cd3",
"model": "anthropic:claude@fable-5",
"settings": {
"systemPrompt": "Act as Mara Chen, a rigorous but fair investigative business journalist conducting a live media-training interview with a human spokesperson. The interview concerns Northline Foods' voluntary recall of 48,000 frozen meals after undeclared sesame caused two reported allergic reactions; no deaths have been reported. Ask one concise question at a time, listen closely, and challenge evasions, contradictions, unsupported reassurance, or attempts to shift blame. Stay within the established facts and never invent new evidence. Do not coach the spokesperson during the interview. Respond only with Mara's next natural line of dialogue.",
"maxTokens": 400,
"thinkingLevel": "high",
"splitThinking": true
},
"messages": [
{
"role": "user",
"content": "I'm Dana Ruiz, Northline Foods' vice president of operations. I'm ready to begin."
},
{
"role": "assistant",
"content": "Ms. Ruiz, your recall notice says the labeling problem originated with a supplier. Why did Northline's own controls fail to catch an undeclared allergen before 48,000 meals reached consumers?"
},
{
"role": "user",
"content": "Our supplier provided documentation indicating the ingredient was compliant, and we followed our standard verification process. Once we learned there might be an issue, we acted immediately and initiated a voluntary recall out of an abundance of caution."
},
{
"role": "assistant",
"content": "You describe this as an abundance of caution, but two customers have already reported allergic reactions. Doesn't that wording minimize an actual failure that caused harm?"
},
{
"role": "user",
"content": "I don't intend to minimize what those customers experienced. Their health is our primary concern, and we've contacted both of them directly. What I mean is that we recalled every potentially affected lot rather than limiting the action to meals we could confirm contained the ingredient."
}
]
}{
"taskType": "textInference",
"taskUUID": "7867bf13-8862-48e8-bb88-b86402885cd3",
"text": "That's a fair clarification. But let's go back to your verification process — did Northline actually test the supplier's ingredient for sesame, or did you simply accept their paperwork at face value?",
"cost": 0.01029,
"finishReason": "stop",
"reasoningContent": [
"I'm questioning whether their standard verification process actually involved hands-on testing of the ingredient or if they just rubber-stamped paperwork without proper validation."
]
}Residential Property Listing Package
Reasoning
Looking at the exterior details in the first photo—the Tudor Revival styling with brick, steep gabled roof, arched limestone entry, and half-timbering on the dormer—and then examining the kitchen's cream cabinetry, leaded glass windows, dark stone countertops, dual farmhouse sinks, brass faucets, and marble-look tile backsplash with a wood island.
The living room features plaster arched openings, a limestone-look fireplace with built-in shelving, and hardwood floors, while the backyard shows a brick paver patio, detached carriage-style garage, mature landscaping, and perennial beds.
I need to be careful about a few details: the roof appears slate-style but I should flag that for verification, the countertops look like soapstone so I'll note that as an observation, and the fireplace insert appears to be gas but I can't confirm the fuel type definitively. For the headline, I'm aiming for something around ten words that captures the 1928 Tudor character with the modern updates—something like "1928 Brick Tudor with 2024 Kitchen and Bath Updates" works well at exactly ten words.
Now I'm drafting the public remarks, aiming for 180–220 words without clichés, and I want to end with the outdoor features. The description should highlight the original leaded art-glass windows paired with the new kitchen renovation, mention the arched plaster details and fireplace, note the three bedrooms and two-and-a-half baths across 2,140 square feet, and finish with the fenced yard, brick paver drive, mature trees, and detached garage.
I also need to create eight bullet-point highlights, each under twelve words, write captions for the first four photos, and run through a verification checklist—confirming roof material, countertop specifics, whether the leaded glass is original, fireplace functionality, hardwood authenticity, driveway access, fence ownership, garage condition, and whether the central air condenser is visible in the photos. I should also flag if any images appear virtually staged or AI-rendered, verify the architectural style label, check the paver material, and assess landscaping seasonality and half-timbering details.# MLS Listing Package — Oak Park, Illinois | $725,000
---
## 1. Listing Headline
**Arched Elegance: 1928 Oak Park Tudor, Thoughtfully Updated for 2024**
*(Alternate, if shorter is preferred: "1928 Brick Tudor Revival with 2024 Kitchen and Bath Updates")*
---
## 2. Public Remarks (approx. 205 words)
Leaded art-glass windows still scatter afternoon light across the kitchen of this 1928 brick Tudor Revival — now paired with a complete 2024 renovation featuring cream inset cabinetry, dark stone counters, twin apron-front sinks with brass bridge faucets, and a furniture-style wood island with seating for two. The exterior sets the tone immediately: a steeply pitched gabled roofline, a corbeled brick chimney, half-timbered dormer detailing, and an arched stone entry surround framing a glass-paneled wood door flanked by lantern sconces.
Inside, arched plaster openings connect the principal rooms, where a fireplace with a carved stone surround sits beside built-in bookcases and cabinetry over warm-toned hardwood floors. An adjoining room with arched windows and a glass-paneled door draws in additional natural light. The home offers three bedrooms and two and a half baths across 2,140 square feet, plus a finished basement office and a second-floor sunroom. The primary bath was updated in 2024, and radiator heat is complemented by central air conditioning.
Outside, a fenced backyard on the 50-by-171-foot lot includes a brick-paver drive court, curved perennial and shade beds beneath mature trees, an open stretch of lawn, and a detached two-car garage with a carriage-style door and windowed panels.
---
## 3. Feature Highlights
- 1928 brick Tudor Revival with arched stone entry surround
- 2024 kitchen: inset cabinetry, dark stone counters, brass bridge faucets
- Original-style leaded art-glass kitchen windows
- Fireplace with stone surround flanked by built-in bookcases
- Arched plaster openings and hardwood floors throughout main level
- Finished basement office and second-floor sunroom
- Radiator heat plus central air conditioning
- Fenced yard, brick-paver drive court, detached two-car garage
---
## 4. Photo Captions
**Photo 1 — Front Exterior**
Brick Tudor Revival facade with a steep central gable, half-timbered dormer detail, arched stone entry surround, glass-paneled wood door with lantern sconces, and a paved walkway between trimmed hedges and lawn.
**Photo 2 — Kitchen (Renovated 2024)**
Cream inset cabinetry with glass-front uppers, dark stone countertops, dual apron-front sinks with brass bridge faucets, a light tile backsplash, a wood island with counter seating, pendant lighting, and leaded art-glass windows above the work areas.
**Photo 3 — Living Room**
Fireplace with carved stone surround flanked by built-in bookshelves and lower cabinetry, wide arched opening to an adjacent light-filled room with arched windows and a glass-paneled door, and hardwood flooring throughout.
**Photo 4 — Backyard and Garage**
Fenced rear yard with brick-paver drive court, curved planting beds with perennials, mature shade trees over the lawn, and a detached two-car garage with a carriage-style windowed door and exterior light.
---
## 5. Private Agent Verification Checklist (Not for Publication)
**Materials — confirm before naming specifically:**
- **Roof:** Appears slate or slate-style shingle in Photo 1. Confirm actual material (slate vs. synthetic/composite) and age before describing as "slate."
- **Kitchen countertops:** Appear to be soapstone or honed dark granite. Confirm material with seller/renovation invoices before naming it.
- **Entry and fireplace surrounds:** Appear to be limestone or cast stone. Verify before specifying "limestone."
- **Hardwood floors:** Species and whether original, refinished, or replaced is not determinable from photos. Confirm before using "original hardwood."
- **Leaded/stained glass:** Cannot confirm from photos whether original 1928 glass or later reproduction; verify provenance before calling it "original."
**Systems and features — confirm functionality:**
- **Fireplace:** An insert is visible in Photo 3; fuel type (gas vs. wood-burning) and working condition are unknown. Verify before publication.
- **Central air:** No condenser or ductwork visible in photos; listed per verified facts, but confirm system age and configuration for disclosures.
- **Half-timbering:** Confirm whether decorative trim or structural, and its condition, if buyers ask.
**Site and access — confirm:**
- **Driveway/garage access:** Photo 4 shows brick pavers leading to the garage; confirm whether access is via alley or street, and whether pavers are driveway, patio, or both.
- **Fencing:** Confirm fence ownership/shared responsibility and lot-line placement.
- **Landscaping:** Photos show peak-season foliage; ensure photos reflect current condition at time of listing.
**Consistency check:**
- Photo 1 shows the front elevation with what appear to be slate-toned shingles; Photo 4 shows a garage with tan siding. Confirm both structures belong to this property and photos are current, unedited, and not virtually staged; disclose any virtual staging per MLS rules.
- Confirm second-floor sunroom and basement office are included in or excluded from the 2,140 sq. ft. figure per local measurement standards (e.g., ANSI), and note the source of square footage in the listing.Finish reason:
stopimport { createClient } from '@runware/sdk'
const client = await createClient({ apiKey: process.env.RUNWARE_API_KEY })
await client.connect()
const [result] = await client.run({
model: 'anthropic:claude@fable-5',
settings: {
systemPrompt: 'You are a senior residential real-estate copywriter and meticulous visual analyst. Produce persuasive but accurate listing materials grounded only in the supplied photographs and verified facts. Never infer condition, dimensions, neighborhood qualities, school quality, construction materials, accessibility, or amenities that are not clearly supported. Follow U.S. Fair Housing advertising principles: describe the property, not the ideal buyer or resident. Clearly flag anything an agent should verify before publication.',
maxTokens: 3500,
thinkingLevel: 'high',
splitThinking: true
},
inputs: {
images: [
'https://assets.runware.ai/assets/inputs/411872ff-1865-45ad-b4e0-085c8cf15e8e.jpg',
'https://assets.runware.ai/assets/inputs/22be5e17-f4f1-4110-9b5a-17d50acfd585.jpg',
'https://assets.runware.ai/assets/inputs/0338e92a-56a8-4a18-beb5-6d1c39a60fe0.jpg',
'https://assets.runware.ai/assets/inputs/e9256fcd-84d2-48c9-8531-3b2d108ad4a3.jpg'
]
},
messages: [
{
role: 'user',
content: 'Create a complete MLS-ready listing package for the home shown in the four attached photographs, in their supplied order.\n\nVerified property facts:\n- Location: Oak Park, Illinois\n- Property type: detached single-family home\n- Built: 1928\n- Bedrooms: 3\n- Bathrooms: 2 full and 1 half\n- Interior area: 2,140 square feet\n- Lot: 50 by 171 feet\n- Parking: detached two-car garage\n- Renovation: kitchen and primary bathroom updated in 2024\n- Additional spaces: finished basement office and second-floor sunroom\n- Heating and cooling: radiator heat and central air conditioning\n- Asking price: $725,000\n\nFirst, inspect the photographs carefully and identify only visually supportable architectural, material, lighting, landscaping, and design details. Then deliver:\n\n1. A refined listing headline of no more than 10 words.\n2. Public remarks of 180–220 words, suitable for an MLS and brokerage website. Open with the property\'s strongest differentiator, balance original character with the verified updates, and end with a concrete description of the outdoor space. Do not use clichés such as “won\'t last,” “dream home,” “perfect for,” or “steps from.”\n3. Eight concise feature highlights, each no longer than 12 words.\n4. One publication-ready caption for each photograph, labeled Photo 1 through Photo 4. Captions must describe what is actually visible rather than repeating generic sales language.\n5. A private agent verification checklist containing any visual observations that could be mistaken, ambiguous, or require confirmation before publication.\n\nUse polished American English and clear section headings. Do not invent proximity claims, appliance brands, room dimensions, school information, transit access, historical designations, or neighborhood character.'
}
]
})import asyncio
import os
from runware import Runware
async def main():
async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
results = await client.run({
"model": "anthropic:claude@fable-5",
"settings": {
"systemPrompt": "You are a senior residential real-estate copywriter and meticulous visual analyst. Produce persuasive but accurate listing materials grounded only in the supplied photographs and verified facts. Never infer condition, dimensions, neighborhood qualities, school quality, construction materials, accessibility, or amenities that are not clearly supported. Follow U.S. Fair Housing advertising principles: describe the property, not the ideal buyer or resident. Clearly flag anything an agent should verify before publication.",
"maxTokens": 3500,
"thinkingLevel": "high",
"splitThinking": True
},
"inputs": {
"images": [
"https://assets.runware.ai/assets/inputs/411872ff-1865-45ad-b4e0-085c8cf15e8e.jpg",
"https://assets.runware.ai/assets/inputs/22be5e17-f4f1-4110-9b5a-17d50acfd585.jpg",
"https://assets.runware.ai/assets/inputs/0338e92a-56a8-4a18-beb5-6d1c39a60fe0.jpg",
"https://assets.runware.ai/assets/inputs/e9256fcd-84d2-48c9-8531-3b2d108ad4a3.jpg"
]
},
"messages": [
{
"role": "user",
"content": "Create a complete MLS-ready listing package for the home shown in the four attached photographs, in their supplied order.\n\nVerified property facts:\n- Location: Oak Park, Illinois\n- Property type: detached single-family home\n- Built: 1928\n- Bedrooms: 3\n- Bathrooms: 2 full and 1 half\n- Interior area: 2,140 square feet\n- Lot: 50 by 171 feet\n- Parking: detached two-car garage\n- Renovation: kitchen and primary bathroom updated in 2024\n- Additional spaces: finished basement office and second-floor sunroom\n- Heating and cooling: radiator heat and central air conditioning\n- Asking price: $725,000\n\nFirst, inspect the photographs carefully and identify only visually supportable architectural, material, lighting, landscaping, and design details. Then deliver:\n\n1. A refined listing headline of no more than 10 words.\n2. Public remarks of 180–220 words, suitable for an MLS and brokerage website. Open with the property's strongest differentiator, balance original character with the verified updates, and end with a concrete description of the outdoor space. Do not use clichés such as “won't last,” “dream home,” “perfect for,” or “steps from.”\n3. Eight concise feature highlights, each no longer than 12 words.\n4. One publication-ready caption for each photograph, labeled Photo 1 through Photo 4. Captions must describe what is actually visible rather than repeating generic sales language.\n5. A private agent verification checklist containing any visual observations that could be mistaken, ambiguous, or require confirmation before publication.\n\nUse polished American English and clear section headings. Do not invent proximity claims, appliance brands, room dimensions, school information, transit access, historical designations, or neighborhood character."
}
]
})
asyncio.run(main())curl https://api.runware.ai/v1 \
-H "Authorization: Bearer $RUNWARE_API_KEY" \
-H "Content-Type: application/json" \
-d '[
{
"taskType": "textInference",
"taskUUID": "29c2fb73-7687-4caa-b2b7-e746291ab9b0",
"model": "anthropic:claude@fable-5",
"settings": {
"systemPrompt": "You are a senior residential real-estate copywriter and meticulous visual analyst. Produce persuasive but accurate listing materials grounded only in the supplied photographs and verified facts. Never infer condition, dimensions, neighborhood qualities, school quality, construction materials, accessibility, or amenities that are not clearly supported. Follow U.S. Fair Housing advertising principles: describe the property, not the ideal buyer or resident. Clearly flag anything an agent should verify before publication.",
"maxTokens": 3500,
"thinkingLevel": "high",
"splitThinking": true
},
"inputs": {
"images": [
"https://assets.runware.ai/assets/inputs/411872ff-1865-45ad-b4e0-085c8cf15e8e.jpg",
"https://assets.runware.ai/assets/inputs/22be5e17-f4f1-4110-9b5a-17d50acfd585.jpg",
"https://assets.runware.ai/assets/inputs/0338e92a-56a8-4a18-beb5-6d1c39a60fe0.jpg",
"https://assets.runware.ai/assets/inputs/e9256fcd-84d2-48c9-8531-3b2d108ad4a3.jpg"
]
},
"messages": [
{
"role": "user",
"content": "Create a complete MLS-ready listing package for the home shown in the four attached photographs, in their supplied order.\n\nVerified property facts:\n- Location: Oak Park, Illinois\n- Property type: detached single-family home\n- Built: 1928\n- Bedrooms: 3\n- Bathrooms: 2 full and 1 half\n- Interior area: 2,140 square feet\n- Lot: 50 by 171 feet\n- Parking: detached two-car garage\n- Renovation: kitchen and primary bathroom updated in 2024\n- Additional spaces: finished basement office and second-floor sunroom\n- Heating and cooling: radiator heat and central air conditioning\n- Asking price: $725,000\n\nFirst, inspect the photographs carefully and identify only visually supportable architectural, material, lighting, landscaping, and design details. Then deliver:\n\n1. A refined listing headline of no more than 10 words.\n2. Public remarks of 180–220 words, suitable for an MLS and brokerage website. Open with the property's strongest differentiator, balance original character with the verified updates, and end with a concrete description of the outdoor space. Do not use clichés such as “won't last,” “dream home,” “perfect for,” or “steps from.”\n3. Eight concise feature highlights, each no longer than 12 words.\n4. One publication-ready caption for each photograph, labeled Photo 1 through Photo 4. Captions must describe what is actually visible rather than repeating generic sales language.\n5. A private agent verification checklist containing any visual observations that could be mistaken, ambiguous, or require confirmation before publication.\n\nUse polished American English and clear section headings. Do not invent proximity claims, appliance brands, room dimensions, school information, transit access, historical designations, or neighborhood character."
}
]
}
]'runware run anthropic:claude@fable-5 \
settings.systemPrompt="You are a senior residential real-estate copywriter and meticulous visual analyst. Produce persuasive but accurate listing materials grounded only in the supplied photographs and verified facts. Never infer condition, dimensions, neighborhood qualities, school quality, construction materials, accessibility, or amenities that are not clearly supported. Follow U.S. Fair Housing advertising principles: describe the property, not the ideal buyer or resident. Clearly flag anything an agent should verify before publication." \
settings.maxTokens=3500 \
settings.thinkingLevel=high \
settings.splitThinking=true \
inputs.images.0=https://assets.runware.ai/assets/inputs/411872ff-1865-45ad-b4e0-085c8cf15e8e.jpg \
inputs.images.1=https://assets.runware.ai/assets/inputs/22be5e17-f4f1-4110-9b5a-17d50acfd585.jpg \
inputs.images.2=https://assets.runware.ai/assets/inputs/0338e92a-56a8-4a18-beb5-6d1c39a60fe0.jpg \
inputs.images.3=https://assets.runware.ai/assets/inputs/e9256fcd-84d2-48c9-8531-3b2d108ad4a3.jpg \
messages.0.role=user \
messages.0.content="Create a complete MLS-ready listing package for the home shown in the four attached photographs, in their supplied order.
Verified property facts:
- Location: Oak Park, Illinois
- Property type: detached single-family home
- Built: 1928
- Bedrooms: 3
- Bathrooms: 2 full and 1 half
- Interior area: 2,140 square feet
- Lot: 50 by 171 feet
- Parking: detached two-car garage
- Renovation: kitchen and primary bathroom updated in 2024
- Additional spaces: finished basement office and second-floor sunroom
- Heating and cooling: radiator heat and central air conditioning
- Asking price: \$725,000
First, inspect the photographs carefully and identify only visually supportable architectural, material, lighting, landscaping, and design details. Then deliver:
1. A refined listing headline of no more than 10 words.
2. Public remarks of 180–220 words, suitable for an MLS and brokerage website. Open with the property's strongest differentiator, balance original character with the verified updates, and end with a concrete description of the outdoor space. Do not use clichés such as “won't last,” “dream home,” “perfect for,” or “steps from.”
3. Eight concise feature highlights, each no longer than 12 words.
4. One publication-ready caption for each photograph, labeled Photo 1 through Photo 4. Captions must describe what is actually visible rather than repeating generic sales language.
5. A private agent verification checklist containing any visual observations that could be mistaken, ambiguous, or require confirmation before publication.
Use polished American English and clear section headings. Do not invent proximity claims, appliance brands, room dimensions, school information, transit access, historical designations, or neighborhood character."{
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"systemPrompt": "You are a senior residential real-estate copywriter and meticulous visual analyst. Produce persuasive but accurate listing materials grounded only in the supplied photographs and verified facts. Never infer condition, dimensions, neighborhood qualities, school quality, construction materials, accessibility, or amenities that are not clearly supported. Follow U.S. Fair Housing advertising principles: describe the property, not the ideal buyer or resident. Clearly flag anything an agent should verify before publication.",
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"content": "Create a complete MLS-ready listing package for the home shown in the four attached photographs, in their supplied order.\n\nVerified property facts:\n- Location: Oak Park, Illinois\n- Property type: detached single-family home\n- Built: 1928\n- Bedrooms: 3\n- Bathrooms: 2 full and 1 half\n- Interior area: 2,140 square feet\n- Lot: 50 by 171 feet\n- Parking: detached two-car garage\n- Renovation: kitchen and primary bathroom updated in 2024\n- Additional spaces: finished basement office and second-floor sunroom\n- Heating and cooling: radiator heat and central air conditioning\n- Asking price: $725,000\n\nFirst, inspect the photographs carefully and identify only visually supportable architectural, material, lighting, landscaping, and design details. Then deliver:\n\n1. A refined listing headline of no more than 10 words.\n2. Public remarks of 180–220 words, suitable for an MLS and brokerage website. Open with the property's strongest differentiator, balance original character with the verified updates, and end with a concrete description of the outdoor space. Do not use clichés such as “won't last,” “dream home,” “perfect for,” or “steps from.”\n3. Eight concise feature highlights, each no longer than 12 words.\n4. One publication-ready caption for each photograph, labeled Photo 1 through Photo 4. Captions must describe what is actually visible rather than repeating generic sales language.\n5. A private agent verification checklist containing any visual observations that could be mistaken, ambiguous, or require confirmation before publication.\n\nUse polished American English and clear section headings. Do not invent proximity claims, appliance brands, room dimensions, school information, transit access, historical designations, or neighborhood character."
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"text": "# MLS Listing Package — Oak Park, Illinois | $725,000\n\n---\n\n## 1. Listing Headline\n\n**Arched Elegance: 1928 Oak Park Tudor, Thoughtfully Updated for 2024**\n\n*(Alternate, if shorter is preferred: \"1928 Brick Tudor Revival with 2024 Kitchen and Bath Updates\")*\n\n---\n\n## 2. Public Remarks (approx. 205 words)\n\nLeaded art-glass windows still scatter afternoon light across the kitchen of this 1928 brick Tudor Revival — now paired with a complete 2024 renovation featuring cream inset cabinetry, dark stone counters, twin apron-front sinks with brass bridge faucets, and a furniture-style wood island with seating for two. The exterior sets the tone immediately: a steeply pitched gabled roofline, a corbeled brick chimney, half-timbered dormer detailing, and an arched stone entry surround framing a glass-paneled wood door flanked by lantern sconces.\n\nInside, arched plaster openings connect the principal rooms, where a fireplace with a carved stone surround sits beside built-in bookcases and cabinetry over warm-toned hardwood floors. An adjoining room with arched windows and a glass-paneled door draws in additional natural light. The home offers three bedrooms and two and a half baths across 2,140 square feet, plus a finished basement office and a second-floor sunroom. The primary bath was updated in 2024, and radiator heat is complemented by central air conditioning.\n\nOutside, a fenced backyard on the 50-by-171-foot lot includes a brick-paver drive court, curved perennial and shade beds beneath mature trees, an open stretch of lawn, and a detached two-car garage with a carriage-style door and windowed panels.\n\n---\n\n## 3. Feature Highlights\n\n- 1928 brick Tudor Revival with arched stone entry surround\n- 2024 kitchen: inset cabinetry, dark stone counters, brass bridge faucets\n- Original-style leaded art-glass kitchen windows\n- Fireplace with stone surround flanked by built-in bookcases\n- Arched plaster openings and hardwood floors throughout main level\n- Finished basement office and second-floor sunroom\n- Radiator heat plus central air conditioning\n- Fenced yard, brick-paver drive court, detached two-car garage\n\n---\n\n## 4. Photo Captions\n\n**Photo 1 — Front Exterior**\nBrick Tudor Revival facade with a steep central gable, half-timbered dormer detail, arched stone entry surround, glass-paneled wood door with lantern sconces, and a paved walkway between trimmed hedges and lawn.\n\n**Photo 2 — Kitchen (Renovated 2024)**\nCream inset cabinetry with glass-front uppers, dark stone countertops, dual apron-front sinks with brass bridge faucets, a light tile backsplash, a wood island with counter seating, pendant lighting, and leaded art-glass windows above the work areas.\n\n**Photo 3 — Living Room**\nFireplace with carved stone surround flanked by built-in bookshelves and lower cabinetry, wide arched opening to an adjacent light-filled room with arched windows and a glass-paneled door, and hardwood flooring throughout.\n\n**Photo 4 — Backyard and Garage**\nFenced rear yard with brick-paver drive court, curved planting beds with perennials, mature shade trees over the lawn, and a detached two-car garage with a carriage-style windowed door and exterior light.\n\n---\n\n## 5. Private Agent Verification Checklist (Not for Publication)\n\n**Materials — confirm before naming specifically:**\n- **Roof:** Appears slate or slate-style shingle in Photo 1. Confirm actual material (slate vs. synthetic/composite) and age before describing as \"slate.\"\n- **Kitchen countertops:** Appear to be soapstone or honed dark granite. Confirm material with seller/renovation invoices before naming it.\n- **Entry and fireplace surrounds:** Appear to be limestone or cast stone. Verify before specifying \"limestone.\"\n- **Hardwood floors:** Species and whether original, refinished, or replaced is not determinable from photos. Confirm before using \"original hardwood.\"\n- **Leaded/stained glass:** Cannot confirm from photos whether original 1928 glass or later reproduction; verify provenance before calling it \"original.\"\n\n**Systems and features — confirm functionality:**\n- **Fireplace:** An insert is visible in Photo 3; fuel type (gas vs. wood-burning) and working condition are unknown. Verify before publication.\n- **Central air:** No condenser or ductwork visible in photos; listed per verified facts, but confirm system age and configuration for disclosures.\n- **Half-timbering:** Confirm whether decorative trim or structural, and its condition, if buyers ask.\n\n**Site and access — confirm:**\n- **Driveway/garage access:** Photo 4 shows brick pavers leading to the garage; confirm whether access is via alley or street, and whether pavers are driveway, patio, or both.\n- **Fencing:** Confirm fence ownership/shared responsibility and lot-line placement.\n- **Landscaping:** Photos show peak-season foliage; ensure photos reflect current condition at time of listing.\n\n**Consistency check:**\n- Photo 1 shows the front elevation with what appear to be slate-toned shingles; Photo 4 shows a garage with tan siding. Confirm both structures belong to this property and photos are current, unedited, and not virtually staged; disclose any virtual staging per MLS rules.\n- Confirm second-floor sunroom and basement office are included in or excluded from the 2,140 sq. ft. figure per local measurement standards (e.g., ANSI), and note the source of square footage in the listing.",
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"Looking at the exterior details in the first photo—the Tudor Revival styling with brick, steep gabled roof, arched limestone entry, and half-timbering on the dormer—and then examining the kitchen's cream cabinetry, leaded glass windows, dark stone countertops, dual farmhouse sinks, brass faucets, and marble-look tile backsplash with a wood island.\n\nThe living room features plaster arched openings, a limestone-look fireplace with built-in shelving, and hardwood floors, while the backyard shows a brick paver patio, detached carriage-style garage, mature landscaping, and perennial beds.\n\nI need to be careful about a few details: the roof appears slate-style but I should flag that for verification, the countertops look like soapstone so I'll note that as an observation, and the fireplace insert appears to be gas but I can't confirm the fuel type definitively. For the headline, I'm aiming for something around ten words that captures the 1928 Tudor character with the modern updates—something like \"1928 Brick Tudor with 2024 Kitchen and Bath Updates\" works well at exactly ten words.\n\nNow I'm drafting the public remarks, aiming for 180–220 words without clichés, and I want to end with the outdoor features. The description should highlight the original leaded art-glass windows paired with the new kitchen renovation, mention the arched plaster details and fireplace, note the three bedrooms and two-and-a-half baths across 2,140 square feet, and finish with the fenced yard, brick paver drive, mature trees, and detached garage.\n\nI also need to create eight bullet-point highlights, each under twelve words, write captions for the first four photos, and run through a verification checklist—confirming roof material, countertop specifics, whether the leaded glass is original, fireplace functionality, hardwood authenticity, driveway access, fence ownership, garage condition, and whether the central air condenser is visible in the photos. I should also flag if any images appear virtually staged or AI-rendered, verify the architectural style label, check the paver material, and assess landscaping seasonality and half-timbering details."
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