Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "The F5 LTM is marking the pool members as red due to a health monitor issue. Ensure the health monitor type used on the pool ('app-backend-pool') matches the backend service and the 'recv' string configured correctly. Use an HTTPS monitor with 'send: HEAD /health HTTP/1.1\\r\\nHost: myapp.corp.example.com\\r\\n' and ensure the 'recv: OK' is set in the F5 GUI under 'Local Traffic > Pools > Pool List'. There is no specific fix for the backend health check response text mismatch as mentioned, but ensure the health check response does not contain data from the backend server that the health monitor expects (like 301 to HTTPS). No other issues from the retrieved contexts are directly relevant to the app-backend-pool failure on the F5 LTM. Escalation not required.", "cited_artifacts": ["KB-00016", "KB-00004"], "confidence": 0.1, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "The issue with the F5 LTM marking pool members red for the app-backend-pool is due to the health monitor not correctly reflecting the backend health checks. Since the health checks on the F5 LTM should look for a specific response or receive string (e.g., 'OK' for 'HTTP 200' status and Host header matching the backend check), ensure the receive string for the health monitor matches the backend response. Use the F5 CLI or iControl REST to update the monitor configuration ensuring the receive string correctly aligns with the backend response, which should be 'OK' if it’s for a successful HTTP/1.1 response. There’s no mention of cache issues or database connection pool exhaustion in the provided contexts, so no references to KBs for cache eviction or DB connection pooling are applicable. Escalation methods or changes in Okta SCIM are irrelevant to the F5 LTM health check issue.", "cited_artifacts": ["KB-00004"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "The F5 LTM health monitor issue is due to an incorrect receive string in the monitor that does not match the backend health check response text. Use the 'recv: 'OK'' to configure the receive string in the monitor to match the backend health check response. Ensure that the health check URL and method (HTTP/HTTPS) match the backend's health check requirements. No specific configurations from the retrieved contexts directly apply to Redis eviction or Okta SCIM setup. Escalation to troubleshooting is not needed here as we have a solution for the health monitor configuration.", "cited_artifacts": ["KB-00016"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the F5 LTM issue with app-backend-pool marked as red, check the health monitors by ensuring the send string matches the backend's health check response text and that the receive string (recv: 'OK') is configured correctly as per Step 3 of the F5 LTM Health Monitor Failures guide (KB-00004). No direct solution can be found for the backend team adding an HTTPS redirect to their Nginx config affecting the F5 health status from the provided context. Escalation of support not possible with the given information.", "cited_artifacts": ["KB-00004"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "The issue with the F5 LTM health monitor failing to recognize the backend servers as healthy (showing red) is due to the HTTP health monitor sending a GET / HTTP/1.1 request without the expected host header that the backend server responds with. Ensure the receive string in the F5 health monitor is set correctly to 'OK' and use the F5 LTM Health Monitor Failures guide by setting the receive string to 'OK' and verifying connectivity from F5 self-IP with 'curl -H 'Host: myapp.corp.example.com' http://<member-ip>:<port>/health'. For the backend application, ensure the backend service does not expect a 301 redirection to HTTPS from the F5 health check. No specific configuration for Redis eviction issues or Okta SCIM configuration are mentioned in the provided context, so these are not applicable. Escalation to other details is not possible with the current context.", "cited_artifacts": ["KB-00004"], "confidence": 0.1, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "The issue with the F5 pool members showing red for app-backend-pool is due to the incorrect health monitor configuration. Use the HTTP health monitor on the F5 LTM with a 'recv' string that the backend health check response body contains. 'recv: 'OK' would be suitable for a default backend status. No key misconfiguration, Okta related, or database connection pool exhaustion is evident from the provided contexts. Thus, the problem is specific to the health check misalignment of the F5 health monitor on the app-backend-pool and requires fixing the health check setup on the F5 LTM through its GUI under Local Traffic > Pools > Pool List. No direct support from the retrieved context for this issue arises, hence no escalation is necessary.", "cited_artifacts": ["KB-00004"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "The issue with the F5 LTM marking pool members as 'down' (red) is due to the health check response text mismatch. For the health checks to pass, ensure the health monitor send response matches the receive string. Use an HTTPS monitor with `recv: 'OK'` in the F5 configuration. No escalatable configuration or cache issues are mentioned in the context, thus Spring Session or Okta SCIM setup are irrelevant here. No direct command fixes can be derived from the provided context regarding the health check issues. Escalation not required as no direct reference to DB connection pool exhaustion or Redis cache eviction issues.", "cited_artifacts": ["KB-00004"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the svc-backup-prod password expiration issue in the Veeam backup software, refer to KB-00012 for the service account password rotation procedure. Update the new password in CyberArk or HashiCorp Vault BEFORE changing it in AD with the command `Update-ADPassword <svc-account> -NewPassword (ConvertTo-SecureString '<new-password>' -AsPlainText -Force) -Reset`. Then, rotate the service account in AD with `Set-ADAccountPassword -Identity <svc-account> -NewPassword (ConvertTo-SecureString '<new-password>' -AsPlainText -Force) -Reset`. Ensure all dependent services are updated in order: first by the `Get-ADUser <svc-account> -Properties ServicePrincipalNames,Description` command to check for dependent services, and by updating them atomically in `sc config <service> password= <new-password>` and `IIS Application Pools` settings. No other tickets provided give direct information to resolve certificate or token renewal issues.", "cited_artifacts": ["KB-00012"], "confidence": 0.1, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the svc-backup-prod password expiration issue, follow the Service Account Password Rotation Procedure from KB-00012 for the rotation of the svc-backup-prod account password. Use CyberArk / HashiCorp Vault to update the new password first by running `Set-ADAccountPassword -Identity svc-backup-prod -NewPassword (ConvertTo-SecureString 'new-password' -AsPlainText -Force) -Reset` in PowerShell. Next, rotate the password in AD with `Set-ADAccountPassword -Identity svc-backup-prod -NewPassword (ConvertTo-SecureString 'new-password' -AsPlainText -Force) -Reset` and ensure the dependencies are checked by `Get-ADUser svc-backup-prod -Properties ServicePrincipalNames,Description`. No escalation needed as the context provides the required steps. No need to reference any other tickets from the provided context.", "cited_artifacts": ["KB-00012"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the svc-backup-prod password expiration issue, follow the Service Account Password Rotation Procedure (KB-00012) to ensure the account is rotated every 90 days. Update the new password in CyberArk / HashiCorp Vault before changing it in AD: `Set-ADAccountPassword -Identity svc-backup-prod -NewPassword (ConvertTo-SecureString 'newpassword' -AsPlainText -Force) -Reset`. For dependent services, ensure these are updated in the same order: `Get-ADUser svc-backup-prod -Properties ServicePrincipalNames,Description` and check for service-dependent entries. No other steps from the provided context directly relate to this issue beyond the account rotation procedure. Escalation is not required as the steps are available.", "cited_artifacts": ["KB-00012"], "confidence": 0.4, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the svc-backup-prod password expiry issue, the service account needs to be rotated according to the procedure provided in KB-00012. First, before rotating the password, check for dependencies with: 'Get-ADUser svc-backup-prod -Properties ServicePrincipalNames,Description' in PowerShell to identify the services. Update the new password in CyberArk / HashiCorp Vault first: 'vault kv put secret/svc/svc-backup-prod/secure-password value=<new-password>' and then rotate in AD with 'Set-ADAccountPassword -Identity svc-backup-prod -NewPassword (ConvertTo-SecureString <new-password> -AsPlainText -Force) -Reset'. For windows services, 'sc config svc-backup-prod password=<new-password>' followed by 'sc stop svc-backup-prod && sc start svc-backup-prod'. No other options are suggested by the provided context, so there is no need to escalate. No specific certificates or API token rotations are involved here, so those references are irrelevant for this issue. ", "cited_artifacts": ["KB-00012"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the svc-backup-prod password expiration issue, follow the Service Account Password Rotation Procedure from KB-00012 which states to rotate the password in CyberArk Vault first and then in Active Directory. In CyberArk, update the password with the command `vault kv put secret/svc/svc-backup-prod password=<new_password>`. In CyberArk Vault, ensure the password gets updated atomically with CyberArk vault operations. In AD, use `vault kv get secret/svc/svc-backup-prod | ConvertTo-SecureString -AsPlainText | Set-ADAccountPassword -Identity svc-backup-prod -NewPassword` to rotate the password in CyberArk Vault and `Set-ADAccountPassword -Identity svc-backup-prod -NewPassword (ConvertTo-SecureString 'new-password' -AsPlainText -Force) -Reset` in AD. Use `Get-ADUser svc-backup-prod -Properties ServicePrincipalNames,Description` to identify dependent services. No need for escalation as the details are provided in the given context.", "cited_artifacts": ["KB-00012"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the svc-backup-prod password expiry issue, follow the Service Account Password Rotation Procedure from KB-00012. Before rotating, identify all dependencies using `Get-ADUser svc-backup-prod -Properties ServicePrincipalNames,Description` to list dependent services and check config files for service names. Update the new password in CyberArk / HashiCorp Vault with `vault kv put secret/svc/svc-backup-prod/password <new-password>` and ensure to reset in AD with `Set-ADAccountPassword -Identity svc-backup-prod -NewPassword (ConvertTo-SecureString <new-password> -AsPlainText -Force) -Reset`. Rotate in AD with `Set-ADAccountPassword -Identity svc-backup-prod -NewPassword (ConvertTo-SecureString <new-password> -AsPlainText -Force) -Reset` and update dependent services in order: Windows services with `sc config <service> password= <new-password>` restart, IIS Application Pools with IIS Manager, and Scheduled tasks with appropriate settings in Task Scheduler. No specific escalation steps are evident from the provided context.", "cited_artifacts": ["KB-00012"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the svc-backup-prod password expiration issue, follow the steps provided in KB-00012 for service account password rotation procedure to ensure it is done every 90 days without breaking dependent services: Update the password in CyberArk / HashiCorp Vault BEFORE changing in AD using `Set-ADAccountPassword -Identity svc-backup-prod -NewPassword (ConvertTo-SecureString 'new-password' -AsPlainText -Force) -Reset`. For dependent services, rotate in AD and ensure the new password is updated in order in the CyberArk vault before moving to step 3 of the procedure. No need for escalate as the steps from the retrieved context directly point to the service account password rotation. No direct links to the Veeam backup software or cron job fix from the provided context.", "cited_artifacts": ["KB-00012"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the svc-backup-prod password rotation issue, follow the Service Account Password Rotation Procedure from KB-00012. Prior to rotating the password, identify all dependent services by running `Get-ADUser svc-backup-prod -Properties ServicePrincipalNames,Description` and checking the description for a list of dependent services. Update the new password in CyberArk / HashiCorp Vault BEFORE changing in AD with `vault kv put secret/svc/svc-backup-prod/pass new_password=<new-password>` and ensuring to reset the password in CyberArk Vault before changing in AD with `Set-ADAccountPassword -Identity svc-backup-prod -NewPassword (ConvertTo-SecureString 'new-password' -AsPlainText -Force) -Reset`. Rotate the password in AD with `Set-ADAccountPassword -Identity svc-backup-prod -NewPassword (ConvertTo-SecureString 'new-password' -AsPlainText -Force) -Reset`. Ensure all dependent services are updated in the correct order: sc config <service> password=<new-password> and restart the service, IIS App Pool to <svc-backup-prod> Identity and configure the task scheduler with the new password as the credentials. No other artifacts cited from the provided content are applicable to the TLS certificate or API tokens issues.", "cited_artifacts": ["KB-00012"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the VPN tunnel flapping issue, the phase 1 parameter mismatch in the Phase 1 (IKE) is causing the flapping due to the difference in the encryption (AES-256), PRF (SHA-256), DH group (14 or 19), and lifetime (86400s) between the two ends. Use the debug crypto ikev2 on the Cisco or check the logs for the absence of the NAT-T flag when one end is behind NAT. For the DHCP pool exhaustion, use `show ip dhcp pool` to confirm that utilization is above 95%, then clear ip dhcp binding * to reconfigure the DHCP scope. The DHCP scope exhaustion can be addressed by reducing the lease time from 8 days to 1 day with `ip dhcp pool CORP_WIFI / lease 1`. No clear escalation steps from the given context.", "cited_artifacts": ["KB-00005", "KB-00006"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the VPN tunnel flapping, align the IKE proposal parameters between both ends in the Phase 1 and Phase 2 using the following steps: Step 1 — Capture the NOTIFY payload on both VPN gateway logs and ensure there is no mismatch in algorithm (encryption, PRF, DH group, lifetime) as it causes NO_PROPOSAL_CHOSEN. For the DHCP pool exhaustion, reduce the DHCP lease time from 8 days to 1 day using `ip dhcp pool CORP_WIFI / lease 1` to prevent clients from falling back to 169.254.x.x address and reassign some to a secondary pool or expand the scope to /23 or add a new pool to accommodate the increasing number of devices. No escalations needed as the provided contexts cover both issues.", "cited_artifacts": ["KB-00005", "KB-00006"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the VPN tunnel flapping issue, align the IKE Phase 1 parameter by ensuring that both ends use the same IKE proposal: encryption (AES-256), PRF (SHA-256), DH group (14 or 19), and lifetime (86400s). Use the command `debug crypto ikev2` on Cisco devices to capture the NOTIFY payload and ensure there is no ‘NO_PROPOSAL_CHOSEN’ or ‘TS_UNACCEPTABLE’ error. For the DHCP pool exhaustion, adjust the lease time to reduce the lease length from 8 days to 1 day using `ip dhcp pool CORP_WIFI / lease 1` in the DHCP pool settings. Avoid changing DHCP scope by adding a new secondary pool if the current DHCP scope is full, and ensure DHCP snooping is enabled to prevent rogue DHCP servers from consuming addresses. No escalation is needed as these solutions are provided in the retrieved contexts.", "cited_artifacts": ["KB-00005", "KB-00006"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the VPN tunnel flapping issue, use the steps in the 'VPN Tunnel Flapping — IPSec IKEv2 Troubleshooting' (KB-00005) to align the IKE proposal on both sides by verifying the encryption, PRF, DH group, and lifetime parameters match on both the Cisco routers. For the DHCP pool exhaustion at 94% utilization, use the steps in the 'DHCP Scope Exhaustion — Emergency Recovery' (KB-00006) to clear the DHCP binding to force an immediate pool exhaustion recovery or to expand the DHCP pool scope, reducing the lease time from 8 days to 1 day (A). No escalations are needed for these issues as all required steps are found in the given retrieved contexts.", "cited_artifacts": ["KB-00005", "KB-00006"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the VPN tunnel flapping issue, align the IKE proposal on both ends by ensuring the encryption (AES-256), PRF (SHA-256), DH group (14 or 19), and lifetime (86400s) match on both sides as per KB-00005 (Step 2: Algorithm comparison). For the DHCP pool exhaustion, reduce the DHCP lease time from 8 days to 1 day by running `ip dhcp pool CORP_WIFI / lease 1` or expand the scope to /23 by using `show ip dhcp pool` and `clear ip dhcp binding *` to make space, or add a new secondary pool by using `show ip dhcp pool` and `ip dhcp pool NEW_SUBNET / subnet 24`. No other context supports addressing the API Gateway timeout issues, hence leave that out for this resolution.", "cited_artifacts": ["KB-00005", "KB-00006"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the VPN tunnel flapping issue, ensure the hold-timer mismatch by running `show ip ospf neighbor detail` on both ends and checking if the hold timer is consistent between the local AS and the peer AS configuration (`neighbor <ip> timers <keepalive> <hold>` can be used to adjust the timer). For the DHCP pool exhaustion, reduce the DHCP lease time to 1 day with `ip dhcp pool CORP_WIFI / lease 1` to prevent scope exhaustion. No direct match for API Gateway 504 Timeout troubleshooting in the given contexts, hence no direct advice. Escalation not required as all solutions are covered in the provided contexts.", "cited_artifacts": ["KB-00005", "KB-00006"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the VPN tunnel flapping issue in the Bangkok branch office, align the IKE proposal on both Cisco devices for Phase 1 parameters by ensuring encryption (AES-256), PRF (SHA-256), DH group (14 or 19), and lifetime (86400s) match on both ends. Use the debug crypto ikev2 to capture the NOTIFY payload on both Cisco devices to confirm algorithm mismatch by looking for 'NO_PROPOSAL_CHOSEN' or 'TS_UNACCEPTABLE'. For DHCP pool exhaustion, ensure the DHCP lease time on the DHCP server pool (CORP_WIFI) is reduced from 8 days to 1 day with `ip dhcp pool CORP_WIFI / lease 1` to prevent DHCP exhaustion. No escalation needed as the context directly points to fixes for both issues.", "cited_artifacts": ["KB-00005", "KB-00006"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the VPN tunnel flapping, follow these steps: Use `debug crypto ikev2` on the Cisco device and check for the NOTIFY payload to ensure both sides are using identical IKE proposal parameters such as encryption (AES-256), PRF (SHA-256), DH group (14 or 19), and lifetime (86400s). For the DHCP pool exhaustion, use `show ip dhcp pool` to confirm utilization is above 95% and execute `clear ip dhcp binding *` with caution to avoid issues in maintenance window or use `clear ip dhcp binding <specific-ip>` for targeted stale entries. No references from the provided contexts can clarify the API gateway timeout issue and are not applicable to the given problems. Escalation is not necessary for the issues provided.", "cited_artifacts": ["KB-00005", "KB-00006"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the OOM crash in the recommendation-engine, enable heap dump monitoring by adding the following JVM flags to the application: `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError` to ensure heap dumps are saved and the JVM exits cleanly on OOM. For the high DB connection pool exhaustion, ensure the connection pool is not holding too many connections by monitoring Prometheus/Grafana metrics and ensuring `hikaricp_connections_max` in the `prometheus.yml` is set correctly and the `hikaricp_connections_active` is less than `hikaricp_connections_max` in the `hikari.properties` file for the pool configuration. No direct resolution from the provided contexts for pod crash loop or Okta SCIM provisioning setup failure, so no tools call for these are provided here. Escalation step not applicable as the contexts provide multiple direct fix points.", "cited_artifacts": ["KB-00015", "KB-00016"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the JVM Out of Memory (OOM) crash in the recommendation-engine, add the JVM flags `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError` to force a clean restart. For the high DB connection pool exhaustion, ensure the HikariCP configuration has a max of 45 as `max`, and ensure `poolMaxTotal` in the config does not exceed `max`. Monitor `hikaricp_connections_active` and `hikaricp_connections_max` metrics in Prometheus/Grafana to see if the pool is saturated. For Guava Cache issue, consider adding a `maximumSize` to the Guava Cache to prevent heap bloat. No other tools from the given context can directly resolve the Kubernetes crashloopbackoff issue, hence no direct resolution available from the provided context. Escalation not required.", "cited_artifacts": ["KB-00015", "KB-00016"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the JVM Out of Memory crash, add the following JVM options to manage heap size: `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:HeapDumpFullThreshold=1 -XX:InitHeapSize=256m -XX:MaxHeapSize=512m`. For high DB connection pool exhaustion, ensure the connection pool is not overused by reducing the `max` value and tuning `maxWait` in the `hikari.properties`. No other tickets from the given context directly suggest a direct link between the JVM heap size, heap dumps, and DB connection pool exhaustion. Use the DB connection pool exhaustion guidance from KB-00016 for connection pools. Escalation to the Okta SCIM provisioning setup is irrelevant to the given problem. Monitor the OOM from the heap dump and connection pool exhaustion separately without any escalation steps needed.", "cited_artifacts": ["KB-00015", "KB-00016"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the JVM OOM crash on the recommendation-engine, configure the automatic heap dump with the given flags: `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError` to analyze the heap dump on the running process with 'jmap -dump:format=b,file=/tmp/heap_$(date +%s).hprof <pid>' and use Eclipse MAT for further analysis by checking 'Problem Suspect' with the largest retained heap and going to the dominator tree for large byte[] or char[] arrays. For DB connection pool exhaustion, use Prometheus/Grafana to check `hikaricp_connections_active` and `hikaricp_connections_max` to confirm pool exhaustion, and in thread dumps check `kill -3 <pid>` to see if there are threads in 'RUNNABLE' or 'WAITING' states with JDBC/database stack frames. No direct causes or resolutions for the DB connection pool exhaustion are provided in the context, so this might need additional troubleshooting which is not covered. No escalatory measures are applicable based on the provided information.", "cited_artifacts": ["KB-00015", "KB-00016"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the JVM Out of Memory (OOM) crashes in the recommendation-engine due to unbounded Guava Cache or Caffeine cache (common causes for heap exhaustion), add the JVM heap dump options: `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError` to the start-up script to force a clean restart. For the DB connection pool exhaustion, ensure the pool size and limit is adjusted by Prometheus/Grafana metrics to avoid saturation. For ModelCacheManager in the heap dumps analysis, use the heap dump with `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/` and analyze with Eclipse MAT. No direct issue from the retrieved contexts directly addresses the Kubernetes CrashLoopBackOff; thus, we must conclude there is no direct match for the Kubernetes issue from the provided context. No escalation indicated.", "cited_artifacts": ["KB-00015", "KB-00016"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the JVM Out of Memory crash due to unbounded cache (Guava Cache or Caffeine) issue, add the JVM flags `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError` and enable heap dump by running `jmap -dump:format=b,file=/tmp/heap_$(date +%s).hprof <pid>` to capture the heap dump on the running process and analyze it with the Eclipse MAT tool to look for the large byte[] or char[] indicating cache bloat. For the DB connection pool exhaustion, ensure the Prometheus/Grafana metric `hikaricp_connections_active` does not equal `hikaricp_connections_max` and check for `hikaricp_connections_pending` to confirm pool saturation. Use the command `kill -3 <pid>` to find threads in the application thread dump and look for long-running queries or unclosed ResultSets causing the issue. No direct ticket resolution link from the provided context for the connection pool exhaustion and Okta SCIM configuration. Escalation of context is not required since direct solutions are within the provided context but are separate tickets.", "cited_artifacts": ["KB-00015", "KB-00016"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the JVM heap exhaustion in the recommendation-engine, enable automatic heap dump by adding `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError` to the JVM startup parameters to ensure a heap dump is created on OOM. For DB connection pool exhaustion, increase the maximum number of active connections in the connection pool configuration in the application properties. For model cache bloat, Guava Cache needs to have a `maximumSize` configuration to avoid the Guava Cache being unbounded. No direct escalation from the provided context for Okta SCIM or Kubernetes issues.", "cited_artifacts": ["KB-00015", "KB-00016"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the JVM Out of Memory (OOM) issue, add the JVM flags `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError` to avoid heap exhaustion and enable automatic heap dump in production. For the DB connection pool exhaustion, ensure the Prometheus/Grafana metric `hikaricp_connections_active` is not equal to `hikaricp_connections_max` and check `hikaricp_connections_pending`. For unbounded Guava Cache or Caffeine use (common in Guava Cache with `-XX:MaxHeapSize` not set), configure a maximumSize in the Cache to control its size. No direct tool for Okta SCIM configuration issues in this context is available, but follow the Okta SCIM attribute mapping steps as per the provided context to resolve the related Okta SCIM 2.0 provisioning failures. No tool calls can be made for Kubernetes crash loop with the given context.", "cited_artifacts": ["KB-00015", "KB-00016"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the BGP peer session down issue on CORE-02 with BGP peer 10.0.0.1 in the Active state, the most relevant solution is to ensure that the hold-timer mismatch for hold and keepalive intervals is corrected by using the `neighbor <ip> timers <keepalive> <hold>` command on the router, considering the `neighbor <ip> timers <keepalive> <hold>` or clear ACL blocking TCP/179 for `TCP connectivity reachability`. To validate configurations, ensure that the peer AS is configured correctly (neighbor <ip> remote-as <AS>) without any configuration mismatch. No specific fixes for hold-timer mismatch from the provided context but for AS and AS configuration mismatch from BGP peer session down guide in KB-00001. No information available for MTU or area mismatch from the provided context.", "cited_artifacts": ["KB-00001"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the BGP peer 10.0.0.1 in the Active state on CORE-02 router, the issue can be resolved by checking the hold-timer mismatch with the command `neighbor <ip> timers keepalive <hold>`. This aligns with Step 4 in the BGP Peer Session Down — Troubleshooting Guide (KB-00001). For AS number mismatch, ensure the local AS and peer AS numbers match with `neighbor <ip> remote-as <AS>` and for configuration mismatch, clear ACLs blocking TCP/179 on the router with `ping vrf MGMT <peer-ip> source <local-ip>`. There is no need to escalate to other steps as the solutions are explicitly provided in the BGP Peer Session Down guide and the hold-timer setting.", "cited_artifacts": ["KB-00001"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the BGP peer session down issue on CORE-02 to peer 10.0.0.1 (AS65100), the primary fix involves checking hold-timer mismatch and configuring the BGP hold time intervals correctly on both CORE-02. Use `show ip ospf neighbor` to identify if stuck in INIT state and check if there’s an MTU mismatch by checking `show ip ospf neighbor detail` for area flags. For BGP peers, `show ip ospf neighbor detail` should be used to check if the state is at 2-WAY or INIT, and for hold-timer mismatch, use `show ip ospf neighbors detail` and `show ip ospf neighbors detail` with `neighbor <ip> timers keepalive <hold>`. No direct fixes for peer state in BGP Active can be resolved from the provided context, however, the hold-timer mismatch in BGP peers can be managed by using `show ip ospf neighbors detail` for the state and `clear ip ospf adj` to clear adjacency states if necessary, but this isn't detailed in the provided contexts. No direct link to AS config or MD5 key mismatch from retrieved context. Hence, we focus on BGP hold-timer mismatch and MTU adjustment for CORE-02 to peer 10.0.0.1's connectivity. Escalation not needed from the provided context.", "cited_artifacts": ["KB-00001"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For CORE-02 BGP peer 10.0.0.1 session to be in Active state for 2 hours and not establishing, the hold-timer mismatch can be fixed by running the `show ip ospf neighbor detail` on the CORE-02 router to check for stuck states and fixing MTU discrepancies between interfaces. There’s no need to escalate to the BGP troubleshooting guide or Okta SCIM attributes as these focus on protocols and applications that are not relevant to the BGP peer issue between CORE-02 and peer 10.0.0.1. For MTU issues, ensure the MTU between CORE-02 interfaces aligns with peer 10.0.0.1, or add `ip ospf mtu-ignore` to both interfaces, or align the MTUs. No direct reference to BGP timer mismatch or hold timer mismatch for CORE-02 from the provided context.", "cited_artifacts": ["KB-00001"], "confidence": 0.1, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For CORE-02, the BGP peer session to peer 10.0.0.1 is in an Active state and not establishing. The issue is a hold-timer mismatch with the peer. Use the command `show ip ospf neighbor detail` to see if it is stuck in any specific state (INIT, 2-WAY, EXSTART/EXCHANGE) and check for MTU or area-type mismatch using `show ip ospf neighbor detail` and `show ip ospf neighbor detail` respectively for adjacency issues. No need for troubleshooting other than the BGP specific steps from the BGP peer session down guide. No need to escalate to other specific zones or apps from other contexts as the context is limited to BGP and OSPF troubleshooting.", "cited_artifacts": ["KB-00001"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the BGP peer session down issue on CORE-02 with peer 10.0.0.1 in Active state and an AS configuration mismatch, correct this by ensuring the hold timers match between peers. Use the diagnostic steps from KB-00001, which suggests checking hold timer mismatch with the command `neighbor <ip> timers <keepalive> <hold>` or clearing ACLs blocking TCP/179 with `clear ip bgp neighbors detail`. No other steps from the context relate to MTU, area-type mismatch, or configuration issues for BGP peers that would require knowledge from KB-00002 or higher, hence we focus on BGP AS number match and hold timer mismatch. No need for escalation as all necessary steps are from the given context.", "cited_artifacts": ["KB-00001"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the BGP peer 10.0.0.1 in the Active state and no session establishing, we need to fix the hold timer mismatch which is described in KB-00001. We will use `show ip ospf neighbor` to identify if it’s in the INIT state which could imply the router is not receiving the hello from the peer. Since the problem here involves BGP peers, we use the BGP troubleshooting guide in KB-00001 and check the BGP hold timers with `show ip ospf neighbor detail | include hold time`. To clarify the AS numbers, we can confirm with `show ip ospf neighbors detail neighbor-id <peer-ip>`. For the configuration mismatch reason in KB-00001, ensure `neighbor <ip> timers <keepalive> <hold>` with `show ip ospf neighbor detail` to set the hold timer to the same as the peer. No other steps are clearly mentioned from the context so we won’t escalate the ticket for now.", "cited_artifacts": ["KB-00001"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the BGP peer session down issue on router CORE-02, the most appropriate troubleshooting approach is to follow the guide from KB-00001 which suggests verifying the hold-timer mismatch with `neighbor <ip> timers <keepalive> <hold>` or using `clear ip bgp <peer-ip>` to clear the ACL blocking TCP/179. No other steps mentioned in the retrieved contexts directly relate to the CORE-02 BGP peer issue. Escalation is not required.", "cited_artifacts": ["KB-00001"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the rollback of the catalog-service v3.5.0 deployment with DB migration V38, you need to follow the Application Deployment Rollback Procedure from KB-00020 for the rollback of Kubernetes/Helm deployments. Use the command `helm rollback <release-name> 0` to rollback to the previous revision of the catalog-service. For the DB migration V38 rollback, there's no direct method provided in the given context but refer to the database migration rollback from Application Deployment Rollback Procedure where it states to check `/db/migrations/` for a corresponding `V<n>__down`. No specific rollback for DB migration rollback is provided in the provided context, so we might need to refer to the database migration rollback if such information is available but not directly mentioned here. No definite DB migration rollback strategy from provided context.", "cited_artifacts": ["KB-00020"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For rollback of catalog-service v3.5.0 DB migration V38 rollback, refer to the Application Deployment Rollback Procedure from KB-00020, which suggests using the Kubernetes/Helm rollback procedure with 'helm rollback <release-name> 0' or 'kubectl rollout undo deployment/<name>'. For DB migration rollback, check the history in the /db/migrations/ directory for a corresponding 'V<n>__down' migration. No direct KB references for DB migration rollback procedures but follow the Kube/Helm rollback steps for application rollback and check the DB migration directory for rollback steps if any. Escalation not required as specific DB migration rollback steps are not detailed in the given context.", "cited_artifacts": ["KB-00020"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For rollback of the catalog-service v3.5.0 deployment with DB migration V38 that added two tables, we need to follow the Application Deployment Rollback Procedure from KB-00020 which covers rollback for services on VMs using symlink-based deployment: Use 'ln -sfn /opt/app/releases/<prev-version> /opt/app/current' to rollback to the previous release and 'systemctl restart <service>' to restart the service. For database migration rollback, if the bad deployment ran a DB migration, there's no automatic rollback as per the context, so we need to check the directory '/db/migrations/' for a corresponding 'V<n>__down' file or script to do a manual migration rollback or revert based on the structure of the DB migration scripts if available. No direct DB migration rollback procedures like for DB migrations are described in the provided context, hence we would need supplementary information for that specific DB migration rollback process. Escalation not needed as no direct methods are outlined in the provided information for DB migration rollback.", "cited_artifacts": ["KB-00020"], "confidence": 0.1, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For rollback of the catalog-service v3.5.0 DB migration V38 that added two tables, follow the Application Deployment Rollback Procedure in KB-00020 for the rollback of a bad deployment. Use the Kubernetes/Helm rollback steps: `helm rollback <release-name> 0` for the catalog-service release. For DB migration rollback, check if there's a corresponding `V<n>__down` in the `/db/migrations/` directory. No escalation is needed as the steps provided cover a rollback procedure for catalog-service v3.5.0 DB migration and rollback in Kubernetes/Helm. No specific details are given for legacy VM rollback for DB migration rollback.", "cited_artifacts": ["KB-00020"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the rollback of the catalog-service v3.5.0 deployment including DB migration V38, we can use the Application Deployment Rollback Procedure from KB-00020 to rollback the rollback within 15 minutes as a fast way for the Kubernetes/Helm deployments. For the DB migration rollback, there is no direct DB migration rollback procedure in the provided context, so we cannot perform the rollback of the DB migration directly and must seek further or external information for it. Hence, we suggest getting in touch with the DBA or following the general DBA intervention for rollback and watch out for any corresponding rollback migration from the DB migration schema. No specific DB migration rollback from the context provided and for DB migration rollback we need DBA or external procedures.", "cited_artifacts": ["KB-00020"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For rollback of the catalog-service v3.5.0 deployment with DB migration V38 rollback, follow the Application Deployment Rollback Procedure from KB-00020. Use the 'Kubernetes/Helm rollback (fastest)' method by running `helm rollback <release-name> 0` to roll back to the previous revision for the catalog-service. For the DB migration, as the context lacks specific rollback steps for DB migrations, you might need to explore the provided DBA intervention rollback for schema migration which doesn't provide a direct rollback path for DB migrations. Thus, we are unable to confidently escalate to a specific DB migration rollback procedure directly from the provided information.", "cited_artifacts": ["KB-00020"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For rollback of the DB migration V38 which added two tables in catalog-service v3.5.0, refer to the Application Deployment Rollback Procedure in KB-00020. For V38 migration rollback, use the Kubernetes/Helm rollback method: `helm rollback <release-name> 0` to revert to the previous revision of the catalog-service. Ensure the history check is done to verify rollback status: `helm history <release-name>` or `kubectl rollout history deployment/<name>`. There's no need for DB migration rollback procedure as it's mentioned under DB migration rollback, which suggests that the rollback of the bad deployment is related to the Kubernetes deployment rollback. No further escalation needed as the context is clear and mentions a rollback procedure under different scenarios.", "cited_artifacts": ["KB-00020"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For rollback of the catalog-service v3.5.0 with DB migration V38 that added two tables, use the Application Deployment Rollback Procedure from KB-00020 for rollback on a Kubernetes/Helm deployment. For DB migration rollback, check if a corresponding 'V<n>__down' script exists in '/db/migrations/'. No specific rollback steps are provided for DB migrations in the retrieved context, so we need to look for a DB migration rollback from the context or apply a generic rollback from history if possible. Given we can't directly correlate a DB migration rollback script, we might consider a general rollback of the catalog-service using the procedure for fast rollback in KB-00020 which applies to most services including Kubernetes/Helm deployments and legacy VM deployments. No direct DB migration rollback steps or framework are found in the provided context to apply directly for DB migration rollback. Escalation not needed as no clear rollback steps for DB migration are provided.", "cited_artifacts": ["KB-00020"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the IoT VLAN 60 DHCP pool exhaustion, follow the DHCP exhaustion steps from KB-00006: Clear the DHCP pool exhaustion by running `show ip dhcp pool` and if utilization > 95%, use `clear ip dhcp binding *` to refresh the DHCP scope and prevent stale leases. Use KB-00007 for the switch interface CRC error: Ensure the physical layer on the switch interface using `show interface <int> transceiver detail` checks the Rx power (below -20 dBm) and check cable length does not exceed 100m. No other steps are listed for the CRC error prevention from the provided contexts and are not directly applicable. Escalation is not required based on the contexts.", "cited_artifacts": ["KB-00006", "KB-00007"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the IoT VLAN 60 DHCP pool exhaustion, follow KB-00006's steps: `show ip dhcp pool` to confirm utilization and if >95%, use `clear ip dhcp binding *` to force all clients to renew in a maintenance window, or use `clear ip dhcp binding <specific-ip>` for targeted stale entries. For the interface CRC error on switch VLAN 60, use KB-00007's Step 2: check if there is duplex mismatch and fix it by setting both ends to `speed 1000 / duplex full`. No need to escalate to other KBs. Escalation of the VPN tunnel flapping issue is not relevant here.", "cited_artifacts": ["KB-00006", "KB-00007"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the IoT VLAN 60 DHCP pool exhaustion, refer to the DHCP Scope Exhaustion—Emergency Recovery (KB-00006) for immediate mitigation: use `clear ip dhcp binding *` to clear all DHCP bindings, which will force all clients to renew and reduce the pool utilization. For the interface CRC error on the switch, refer to the Interface CRC Error Investigation and Remediation (KB-00007) guide to solve: ensure the duplex setting on the interface is consistent with the remote peer's by running `show interface <int> | include duplex` and setting `speed 1000 / duplex full` for both interfaces. No escalatory steps from the provided contexts are applicable for the other contexts being unrelated to the issues at hand. Escalation is not applicable given the provided contexts.", "cited_artifacts": ["KB-00006", "KB-00007"], "confidence": 0.4, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the IoT VLAN 60 DHCP pool exhaustion, use KB-00006 to reduce the DHCP lease time from 8 days to 1 day with the command `ip dhcp pool CORP_WIFI / lease 1`. For the CRC error rate on the switch uplink, check if there is a mismatch between the duplex settings on both ends by using `show interface <int> | include duplex` and `speed 1000 / duplex full` if needed. No direct reference in the context for the switch CRC error, so it can be left as is. Escalation tools are not applicable.", "cited_artifacts": ["KB-00006"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the IoT VLAN 60 DHCP pool exhaustion, refer to the mitigation steps in KB-00006 by running `show ip dhcp pool` to confirm utilization. If utilization > 95%, `clear ip dhcp binding *` to reset all lease records, which helps to reduce DHCP pool exhaustion. For the high CRC errors on the switch interface, follow the baseline counters check: `show interface <int> | include CRC|input|output` to get the CRC rate and check if it's above the threshold of 0.01%. If the rate is >1%, use the duplex mismatch check by `show interface <int> | include duplex` and ensure the speeds are set to both sides the same with `speed 1000 / duplex full`. No direct fix is provided for the interface error rate from the given context, but it can be managed by aligning the MTU between the peers if the CRC error is due to the MTU difference. No escalation is required as each step is discussed in the provided context.", "cited_artifacts": ["KB-00006", "KB-00007"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the IoT VLAN 60 DHCP pool exhaustion, use KB-00006 for the DHCP scope exhaustion remedy: execute `show ip dhcp pool` to check utilization; if >95% (like in KB-00006), use `clear ip dhcp binding *` to force clients to renew DHCP scope but in maintenance window; for the switch CRC error rate, use KB-00007 to check CRC input packets rate: use `show interface <int> | include CRC|input|output` to check the rate and recheck after a 5 minute wait. For the switch CRC error rate, check duplex mismatch: use `show interface <int> | include duplex` and fix with `speed 1000 / duplex full`. There is no direct reference for the access switch error in the provided context but we can troubleshoot CRC error rate based on available information.", "cited_artifacts": ["KB-00006", "KB-00007"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the DHCP pool exhaustion on IoT VLAN 60, use KB-00006 for the DHCP scope exhaustion immediate mitigation: run `show ip dhcp pool` to confirm utilization; if >95%, use `clear ip dhcp binding *` without the maintenance window risk. For the switch interface CRC error, use KB-00007 for the CRC error investigation and remedy: fix the duplex mismatch on the interface by ensuring both sides are set to `speed 1000 / duplex full` if not already. No explicit reference for the switch CRC error remedy in the provided context, but the general steps and KBs can guide the problem. Escalation: No information for escalation available in the provided context, thus no escalation tool call can be generated.", "cited_artifacts": ["KB-00006", "KB-00007"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the IoT VLAN 60 DHCP pool exhaustion, use KB-00006 to reduce the DHCP lease time from 8 days to 1 day using the command `ip dhcp pool CORP_WIFI / lease 1`. For the interface CRC errors, due to the mismatch in duplex settings, set both ends to full-duplex using `speed 1000 / duplex full` to ensure they are on the same speed and duplex. For the CRC error rate on the uplink to 3.1%, due to the duplex mismatch and not physical layer issues, set both ends to half-duplex or auto using `duplex half` on the most likely mismatched side. No direct reference for switch trunk configuration mismatch mentioned; check the interface for duplex mismatch and cable length for errors. No escalation needed as the tickets are specific to DHCP and interface settings with provided remedies.", "cited_artifacts": ["KB-00006", "KB-00007"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the branch office connection issues, we can resolve the problems with the following steps: For the VPN tunnel flapping: Ensure the algorithm mismatch between both sides by comparing the encryption (AES-256), PRF (SHA-256), DH group (14 or 19), and lifetime (86400s) on both routers by running `debug crypto ikev2` on Cisco. For the area mismatch in the OSPF adjacency failure, align the area flags by ensuring both routers agree on the area stub/nssa flags with `show ip ospf` and the configuration by setting area <id> st on the router. For the BGP peer session down, verify the hold-timer mismatch by `show ip ospf neighbor` and the configuration by `neighbor <ip> timers keepalive hold`. For the DNS resolution failure, ensure the correct internal forwarder chain by checking `dig @10.10.1.53 google.com +time=2` to find if there’s a block on the internal forwarder and by assigning the correct internal DNS server address in Windows by running `ipconfig /registerdns` and on Linux by running `sudo nano /etc/resolv.conf`. No specific ID from the SAML configuration error provided in the retrieved context. Escalation context not available from the provided information.", "cited_artifacts": ["KB-00002", "KB-00001", "KB-00003", "KB-00005"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the branch office connecting issues, align the MTU between the interfaces using the 'show ip ospf neighbor' command to check for INIT state and 'ip ospf mtu-ignore' for MTU issue. For the BGP peer session issue, ensure the hold-timer mismatch with `show ip ospf adj` for AREA-MISMATCH and `show ip ospf neighbors detail` to clear AUTHENTICATION conflicts. For the DNS resolution issue, ensure the internal zones are authoritative on the internal DNS server by verifying with `nslookup` and `dig @10.10.1.53` if external names use external resolvers. No specific SAML configuration provided. No need to escalate the issue based on the given context.", "cited_artifacts": ["KB-00002", "KB-00001", "KB-00003"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the issues with the new branch office (VPN tunnel flaps with NO_PROPOSAL_CHOSEN or TS_UNACCEPTABLE error, BGP peer session drop, and DNS resolution fail), the following steps can be taken: For the Phase 1 mismatch in the tunnel, ensure that the IKE proposal on both the branch and the corporate side are consistent: encryption (AES-256), PRF (SHA-256), DH group (14 or 19), and the lifetime (86400s). Use `debug crypto ikev2` on Cisco or check the logs for `NO_PROPOSAL_CHOSEN` error. For the MTU mismatch in the branch office network, ensure the MTU on the branch office interface equals that of the core router (aligning MTU and `ip ospf mtu-ignore` on both interfaces if mismatched). For the BGP peer session drop, the AS numbers and configuration need to match; use `show ip ospf neighbor` to check for area type mismatch and align stub/nssa flags in `area <id> st`. For the DNS resolution error, the branch office is using the wrong DNS server; ensure the correct internal DNS server is being used by checking `nslookup <hostname> 10.10.1.53` directly and resolving to the internal corp DNS. No SAML issues are listed in the given context, so that check is not applicable. Escalation and direct citation from given contexts for these issues.", "cited_artifacts": ["KB-00005", "KB-00002", "KB-00001", "KB-00003"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the branch office issue, the steps are as follows: For the Phase 1 tunnel issue, refer to KB-00005 where we align the IKE proposal on both the client and the gateway side by ensuring the same encryption (AES-256), PRF (SHA-256), DH group (14 or 19), and lifetime (86400s) parameters and ensuring there's no NAT-T mismatch between the client and the gateway. For the BGP peer session down issue, refer to KB-00001 where we correct the hold-timer mismatch by checking the 'keepalive' and 'hold' timers with `neighbor <ip> timers <keepalive> <hold>`. For BGP peer session down due to configuration mismatch, confirm that the AS numbers on both sides are the same and that MD5 passwords are identical. No specific issue related to SAML 2.0 for configuration from the provided contexts and no resolution applicable from DNS resolution as per KB-00003. No escalation or further search needed given the provided resources. Use `debug ip bgp <peer-ip> events` for the BGP peer session troubleshooting and `debug crypto ikev2` for the phase 1 tunnel issue. No specific configuration errors from SAML or authentication context.", "cited_artifacts": ["KB-00005", "KB-00001"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the Phase 1 tunnel flapping, use the steps for aligning the IKE proposal between the two endpoints by verifying identical IKE proposal: encryption (AES-256), PRF (SHA-256), DH group (14 or 19), and lifetime (86400s). For BGP peer session down, ensure there is no hold-timer mismatch by setting `neighbor <ip> timers <keepalive> <hold>`. For DNS resolution failures, ensure the correct internal DNS server is being used by checking the forwarder chain and zone delegation issues. No specific article from the retrieved context directly addresses the stuck states in OSPF adjacencies or the SAML 2.0 SSO configuration, so we rely on the above fixes. No escalate is needed for these issues based on the given context.", "cited_artifacts": ["KB-00003", "KB-00005", "KB-00002", "KB-00001"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the branch office issues, the VPN tunnel flaps are due to a mismatch in the IKE proposal between the two ends, which requires the alignment of the IKE proposal on both ends by ensuring encryption algorithm (AES-256), PRF (SHA-256), DH group (14 or 19), and lifetime match on both devices as per KB-00005 step 2 and 4. For the BGP peer session down issue, ensure that the hold-timer mismatch by using `neighbor <ip> timers <keepalive> <hold>` or clear ACL blocking TCP/179 on the router with the peer address, per KB-00001 step 1-4. For the BGP peer configuration issue, ensure the AS numbers are the same on both routers, and for SAML configuration errors, align the SP Entity ID, audience, ACS URL, and nameID format between the SP and IdP, as per KB-00003 step 1-4 and KB-00001 step 3. No specific configuration checks for the DNS resolution error in the provided context, which might mean the application uses the wrong DNS server. Use `nslookup <hostname> <dns-server-ip>` to check for the internal forwarder issues as per KB-00003 step 1-4. No specific escalation techniques from the provided context are applicable.", "cited_artifacts": ["KB-00005", "KB-00001", "KB-00003"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the issue with the VPN tunnel flapping (aligning the IKE proposal on both ends), the branch office BGP issue (correct hold-timer mismatch), and the DNS resolution problem (check forwarder chain and fix zone delegation issues), resolve the following: For the phase mismatch in the Phase 1 (IKEv2) tunnel with the Cisco CLI command `show crypto ikev2 sa` to check for the missing NAT-T flag and increase DPD timers as needed (Step 2 and Step 4 from the VPN Tunnel Flapping tool, Step 1 from the BGP Peer Session Down tool, and Step 3 from the Corporate DNS Resolution Failures tool). For the BGP peer sessions with the router command `show ip ospf neighbors detail` to identify area mismatch and `show ip ospf neighbors` to identify MTU mismatch. For DNS resolution, run `nslookup <hostname> <dns-server-ip>` and check `dig @10.10.1.53 google.com +time=2` to ensure the correct forwarders are used and the correct internal zones are authoritative. No specific ID from the context indicates an escalated ticket and thus no clear fix from the context provided.", "cited_artifacts": ["KB-00002", "KB-00001", "KB-00003", "KB-00005"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the IKE SA CHILD SA flapping issue, align the IKE proposal parameters on both ends ensuring encryption (AES-256), PRF (SHA-256), DH group (14 or 19), and lifetime (86400s) match. For BGP peer session down, ensure the hold timer interval matches both peer routers with `neighbor <ip> timers keepalive <interval> hold <interval>` and clear the ACL blocking TCP/179 with `clear ip bgp neighbors <peer-ip>` on Cisco router. For BGP peer session down and AS config, correct the AS numbers with `neighbor <ip> timers keepalive <interval> hold <interval>` and ensure `neighbor <ip> remote-as` config matches peer AS number. No direct fix for DNS resolution with the context given, though keep forwarder connectivity on 10.10.1.53 and ensure the internal zone delegation and DNS server assignment are correctly set in the client. No clear guidelines for SAML issues provided from the context.", "cited_artifacts": ["KB-00003", "KB-00002", "KB-00001", "KB-00005"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For rollback of the prod deployment of the billing-service, use the Kubernetes/Helm rollback procedure from KB-00020, which states to use `helm rollback <release-name> 0` to roll back to the previous version and `helm history <release-name>` to check the history and `kubectl rollout undo deployment/<name>` for rollback to the previous deployment if not using Helm. For a K8s rollback, `helm rollback <release-name> 0` can be used and it is fast. No need to escalate the rollback for this case. No additional resources from the provided contexts.", "cited_artifacts": ["KB-00020"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For rolling back the prod deployment of the billing-service to version 2.7.0 using Helm, use the 'Application Deployment Rollback Procedure' from KB-00020, which states to use 'helm rollback <release-name> 0' to rollback to the previous revision. For example, if the release name is 'billing', use 'helm rollback billing 0'. For Kubernetes deployments, use 'kubectl rollout undo deployment/<name>' for non-Helm deployments. Monitor with 'kubectl rollout status deployment/<name> --timeout=120s' to ensure the rollback is complete and 'kubectl get pods' to check the status of the pods for readiness. No other steps are given from the other contexts for this rollback process. No escalations are needed as the context suffices for the rollback procedure.", "cited_artifacts": ["KB-00020"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the prod deployment rollback of the billing-service v2.8.0 which failed and needs to be rolled back to v2.7.0 within the Kubernetes/Helm rollback procedure, use the command `helm rollback <release-name> 0` to roll back to the previous version. In the Jenkinsfile, bind the credentials to the Helm release to ensure the rollback is done atomically. No need for manual rollback steps as the documentation provided is for fast rollback of a Kubernetes/Helm service. No need to rotate API tokens, JENkins API tokens, REST API tokens, or VM-based rollback steps due to the absence of direct guidance in the provided context. No escalations required since the procedure for rollback in Helm is clear and we have KB-00020 as the relevant reference.", "cited_artifacts": ["KB-00020"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the rollback of the prod deployment of the billing-service from v2.8.0 to the previous version within 15 minutes of the bad deployment according to the Application Deployment Rollback Procedure from KB-00020, use the Kubernetes/Helm rollback command `helm rollback <release-name> 0` to roll back to the previous revision of the billing-service. For non-Helm deployments, use `kubectl rollout undo deployment/<name>` to rollback. No need for service account rotation, API token rotation, database migration rollback, or TLS certificate renewal procedures. Ensure no downtime by checking the rollback with `helm history <release-name>` or `kubectl rollout history deployment/<name>` to ensure the service is rolled back without issues. Check the status with `kubectl rollout status deployment/<name> --timeout=120s` to see if the rollback was successful and to wait for pods to be ready. Use `kubectl get pods` for pod status and age to verify the rollback. Escalation is not required given the provided information.", "cited_artifacts": ["KB-00020"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the prod deployment rollback of the billing-service to v2.7.0, use the Application Deployment Rollback Procedure (KB-00020) for Kubernetes/Helm deployments. Use the 'helm rollback <release-name> 0' command to roll back to the previous version of the release. For non-Helm deployments, use 'kubectl rollout undo deployment/<name>'. Monitor the status with 'kubectl rollout status deployment/<name> --timeout=120s' for up to 2 mins to ensure the rollback completes successfully without breaking service. No escalation needed from the provided information.", "cited_artifacts": ["KB-00020"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the rollback of the billing-service v2.8.0 deployment, follow the Kubernetes/Helm rollback procedure mentioned in KB-00020. Use the command 'helm rollback <release-name> 0' to roll back to the previous version of the release. For a non-Helm deployment, use 'kubectl rollout undo deployment/<name>'. Ensure that the rollback is done within the SLA limit of 15 minutes. No specific contexts from the provided retrieved information apply to API tokens, service account password rotation, or TLS certificate renewal as they are not relevant to the service rollback requested for the billing service deployment. No escalation techniques are suggested in the provided contexts, thus no escalate status or additional references are needed.", "cited_artifacts": ["KB-00020"], "confidence": 0.1, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For rollback of the billing-service from version 2.8.0 to 2.7.0 using Helm, we can use the 'Application Deployment Rollback Procedure' from KB-00020. For this, you need to use the rollback command `helm rollback <release-name> 0` to roll back to the previous version. Ensure that the rollback is done within the limit of 15 minutes which is stipulated by the service rollback process in KB-00020. This is a fast rollback approach for services deployed with Helm and Kubernetes, with the command `helm rollback <release-name> 0` for the fastest rollback. No other steps directly from the provided context are needed for this rollback, as the exact rollback procedures are clearly mentioned for non-Helm and legacy VM scenarios in KB-00020 which are not applicable here.", "cited_artifacts": ["KB-00020"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For rollback of the prod deployment of the billing-service v2.8.0 to the previous version using Helm, follow the Application Deployment Rollback Procedure from KB-00020. Use the `helm rollback <release-name> 0` command for the fastest rollback. For Kubernetes/Helm deployments, use `helm rollback <release-name> 0` to roll back to the previous revision or use `kubectl rollout undo deployment/<name>` for non-Helm deployments if history is available. Check rollback status with `kubectl rollout status deployment/<name> --timeout=120s` for status and age verification. No need for zero-downtime rotation or credential rotation as these are not relevant to the service rollback. Escalation to direct ticket or further context is not applicable.", "cited_artifacts": ["KB-00020"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "The high latency in the search service is due to the Redis eviction policy being set to 'allkeys-lru', which is causing cache misses and memory to exceed 95% usage. This increases database load and response latency. For immediate relief, we need to adjust the eviction policy to 'allkeys-random' which is less likely to cause cache misses and underutilizes memory. For the memory pressure issue, we need to add the spring-session configuration 'spring.session.redis.cleanup-cron=0 * * * * *' to flush the Spring Session forever cleanup cache and ensure no key stays forever in memory. No direct fix from the provided context relates to Kubernetes CrashLoopBackOff or API Gateway timeout issues, hence we will not escalate to these. Escalation is ruled out as the details provided are about the search service’s Redis memory usage and eviction.", "cited_artifacts": ["KB-00019"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the search-service high latency after Redis memory alert with 95% usage and eviction policy set to 'allkeys-lru', the Spring Session default forever session stores are the root cause due to session keys without a TTL set, leading to cache misses increasing database load. Fix this by ensuring that the Spring Session timeout is set to a finite value and adding a command to clean up sessions periodically (e.g., ‘spring.session.redis.cleanup-cron=0 * * * * *’ in the Spring application properties). For Redis memory usage, the eviction policy 'allkeys-lru' is correct and the usage of 95% is normal since ‘maxmemory’ is set to the total memory and maxmemory_policy is configured as ‘allkeys-lru’. No direct fixes are needed from the provided contexts for the Redis eviction or memory scaling as those do not pertain to the search service session and memory alert issue. Escalation is not needed since we have key advice from KB-00019 for the Spring session configuration and no other root cause from the context.", "cited_artifacts": ["KB-00019"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the search service response latency increase from 50ms to 800ms due to Redis memory alert at 95% with allkeys-lru eviction causing cache misses and OOM errors, we need to adjust Redis eviction and address session key misconfiguration. In Redis, use `redis-cli CONFIG SET maxmemory 70%` to adjust the maximum memory used to 70% of the maxmemory value. For session keys in Spring session, ensure `spring.session.redis.cleanup-cron` is set to remove session keys periodically to avoid memory overflow. There is no need to escalate as the context for the pod crash and DB timeout issues do not match the given problem. Escalation is not required.", "cited_artifacts": ["KB-00019"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the high latency in the search service due to Redis memory usage at 95% with allkeys-lru eviction causing cache misses and increasing database load, the immediate fix should involve scaling up Redis memory using `redis-cli CONFIG SET maxm` to increase the maximum memory Redis is allowed to use without eviction. For the Spring Session configuration causing keys with no TTL to fill memory indefinitely, ensure the `spring.session.redis.cleanup-cron` setting is in the application properties: Add `spring.session.redis.cleanup-cron=0 * * * * *`. Escalation of issues like Kubernetes CrashLoopBackOff or API Gateway timeout would not apply here as they do not align with the ticket details provided. No direct issues from the other retrieved contexts are pertinent to this situation.", "cited_artifacts": ["KB-00019"], "confidence": 0.4, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "The high latency of the search service is due to Redis using the allkeys-lru eviction policy, which leads to cache misses and increasing database load, contributing to the 800ms response time from 50ms. For the Redis eviction, the common misconfiguration is keys without time-to-live (TTL) on session keys. Add 'spring.session.redis.cleanup-cron=0 * * * * *' in the application properties to prevent the cache from filling indefinitely. No direct issue is found related to the Spring Session with Redis or the connection pool exhaustion. Escalation to common Kubernetes crashloopbackoff steps is not applicable here. Monitor the Redis maxmemory setting by using `redis-cli CONFIG GET maxmemory` to ensure it is not set too high. No direct information is available regarding API gateway timeout or Kubernetes crashloopbackoff steps from the provided context. Escalation to the provided context is not applicable as there are no steps given for API gateway timeout or the crash loop backoff problem from the provided context.", "cited_artifacts": ["KB-00019"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the search service high latency due to Redis memory usage with eviction policy set to allkeys-lru and 95% memory usage, you need to optimize the Redis eviction policy to `allkeys-random` for better cache performance and reduce cache misses. For the Spring Session issue causing cache misses by default storing sessions forever, you should add `spring.session.redis.cleanup-cron=0 * * * * *` in the configuration to ensure session data is cleaned up periodically. No context about the session timeout or K8s CrashLoopBackOff issues mentioned, so these do not apply here. No escalation needed based on the provided context.", "cited_artifacts": ["KB-00019"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the search service high latency due to Redis memory usage at 95% with allkeys-lru eviction causing cache hits and OOM misses, the Spring Session configuration should be adjusted to enable session cleanup. The configuration 'spring.session.redis.cleanup-cron=0 * * * * *' must be added to Spring to trigger cleanup at a regular interval. To address Redis eviction issues, ensure there are no keys without Time To Live (TTL) with 'spring.session.timeout' and monitor Redis eviction policy via 'redis-cli CONFIG GET maxmemory-policy' to be 'allkeys-lru' and tune Redis memory max using 'redis-cli CONFIG SET maxmemory <MB>' to prevent overloading. No direct solutions from other provided contexts apply to this issue.", "cited_artifacts": ["KB-00019"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the search-service high latency with Redis memory usage at 95% and eviction policy set to allkeys-lru, adjust the eviction policy to 'allkeys-random' with 'redis-cli CONFIG SET maxmemory-policy allkeys-random' to reduce cache hits and misses. For Spring Session configuration, add 'spring.session.redis.cleanup-cron=0 * * * * *' to avoid storing session keys forever which leads to memory exhaustion. No immediate changes to Redis memory need scaling as it is within acceptable limits and not related to connection pools or API gateway timeouts as mentioned in the context provided. Escalation of such a configuration issue to underlying pod issues or connection pool exhaustion is not related to the service latency with Redis. No such specific configuration mentioned in the context.", "cited_artifacts": ["KB-00019"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the connection pool exhaustion issue in the inventory-service leading to 'Connection is not available, request timed out after 30000ms' errors, you should use KB-00016 for diagnosing the connection pool exhaustion by checking Prometheus/Grafana metrics for hikaricp_connections_max and hikaricp_connections_active. For monitoring the database side, execute the query `SELECT count(*), state FROM pg_stat_activity GROUP BY state;` to monitor idle connection counts in PostgreSQL and check the status with `SHOW PROCESSLIST;` in MySQL to identify high idle and active connection counts. No need for API gateway timeout troubleshooting as it pertains to an external API service timeout (KB-00018). There is no information about Kubernetes Pod CrashLoopBackOff escalation mentioned in the context. Thus, no additional steps from the given contexts are required to resolve this issue.", "cited_artifacts": ["KB-00016"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the connection pool exhaustion issue in the inventory-service with 'Connection is not available, request timed out after 30000ms' error, increase the maximum number of connections in the HikariCP pool to prevent saturation by setting 'max' property to a suitable number in the configuration file under the HikariCP properties. Check the DB side by monitoring the active connections using the 'active' and 'idle' counts in the query 'SELECT count(*), state FROM pg_stat_activity GROUP BY state;' for PostgreSQL or 'SHOW PROCESSLIST;' for MySQL to ensure no idle connections are being held. No need for API gateway timeouts or Kubernetes issues based on the provided context. Escalation not required as the connection pool exhaustion is covered by KB-00016.", "cited_artifacts": ["KB-00016"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the connection pool exhaustion issue in the inventory-service, it is directly related to the Step 2 and Step 3 of the KB-00016 Troubleshooting Guide for Database Connection Pool Exhaustion. This step indicates that the pool is saturated and connections are being held by the application. Restart the application service to flush the pool by using the Prometheus/Grafana metric `hikaricp_connections_active` and check that it is not equal to `hikaricp_connections_max` to ensure the pool is not saturated. Additionally, check the thread dump for long-running threads in `RUNNABLE` or `WAITING` states in the application to find if there are unclosed ResultSets or long-running queries causing the exhaustion. No other steps from the retrieved context directly apply to the API Gateway timeout or Kubernetes pod issue. Escalation to the API Gateway timeout is not directly mentioned in the context provided and is distinct from the connection pool exhaustion issue in the DB.", "cited_artifacts": ["KB-00016"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the connection pool exhaustion error in the inventory-service, we need to check the database side for pool exhaustion. Use the Prometheus and Grafana metrics to monitor the pool status: `Prometheus - hikaricp_connections_active` and `hikaricp_connections_max` should not be equal, indicating the pool is not saturated. For the application thread dump, use `kill -3 <pid>` (Linux) and search for threads in `RUNNABLE` or `WAITING` states with JDBC/database stack frames for long-running queries or unclosed ResultSets. No need to refer to the other tickets as they are not relevant to the described issue.", "cited_artifacts": ["KB-00016"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the connection pool exhaustion issue in the inventory-service, follow these steps: Check the connection pool exhaustion in the Prometheus/Grafana metric `hikaricp_connections_active` and `hikaricp_connections_max` to ensure the pool is not saturated. Use the thread dump in Linux to identify if there are threads in `RUNNABLE` or `WAITING` state with JDBC/database stack frames, indicating a long-running query or an unclosed ResultSet. No references from the API gateway timeout issues or BGP peer session issues are relevant to the given problem. There are no references to Kubernetes Pod CrashLoopBackOff issues provided in the context. Escalation tools are not applicable here as the context directly correlates to the database connection pool exhaustion issue.", "cited_artifacts": ["KB-00016"], "confidence": 0.4, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the inventory-service connection pool exhaustion issue, refer to the steps from the Diagnosis and Recovery for Connection Pool Exhaustion guide (KB-00016). Ensure that the connection pool (hikaricp_connections_max) is not reaching its limit and adjust the pool size if possible. Check for high 'idle' connections using Prometheus/Grafana metric 'hikaricp_connections_idle' and ensure 'hikaricp_connections_max' is not being exceeded. On the database side, ensure 'idle' connections are within acceptable limits without high numbers. No need to escalate as we have a direct step-by-step guide for the specific issue from KB-00016. No additional keys from other contexts apply to this ticket.", "cited_artifacts": ["KB-00016"], "confidence": 0.2, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the inventory-service connection pool exhaustion error, increase the pool size by configuring the HikariCP max parameter to avoid saturation (hikaricp_connections_max) and set the max idle timeout to reduce hanging idle connections (hikaricp_liveness_check"). Use Prometheus and Grafana to monitor 'hikaricp_connections_max' and 'hikaricp_connections_pending'. No need to escalate as the context is about connection pool issues and does not include details about API gateway timeout or Kubernetes pod crash loops. ", "cited_artifacts": ["KB-00016"], "confidence": 0.3, "escalate": false}}
```


Response:
```json
{"tool_name": "submit_resolution", "arguments": {"resolution": "For the inventory-service connection pool exhaustion error, we need to adjust the pool size configuration in the application service. In the Prometheus/Grafana metric dashboard, we should check the 'hikaricp_connections_max' metric to ensure it is not too low. The thread dump analysis on Linux (using kill -3 <pid>) shows that long-running queries or unclosed ResultSets are common causes in the application. For the DB side, the pg_stat_activity query shows idle connection count indicating pool exhaustion. No need to refer to the API Gateway Timeout (KB-00018) as it is distinct from the inventory service issue and the Kubernetes crash loopback-off (KB-00017). No escalation required as we have the exact context for the issue. Monitor that the 'hikaricp_connections_max' metric is not too low to prevent pool exhaustion and check for long-running queries or unclosed ResultSets on the application side and idle connections on the DB side using the provided metrics and queries for early detection and resolution.", "cited_artifacts": ["KB-00016"], "confidence": 0.2, "escalate": false}}
```