201 lines
234 KiB
JSON
201 lines
234 KiB
JSON
{"ticket_id": "TRAIN-00008", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For jsmith's AD account lockout issue, check the lockout status with `Get-ADUser <username> -Properties LockedOut,BadLogonCount,LastBadPasswordAttempt` to see if the user is locked out or has any bad logon attempts. If LockedOut=True, unlock the account using `Unlock-ADAccount -Identity <username>` and ensure the BadLogonCount is within the range of 3-5 by checking `Get-ADUser <username> -Properties BadLogonCount` and using `Unlock-ADAccount -Identity <username>`. For password expiry, use `Get-ADUser <username> -Properties PasswordExpired` and if PasswordExpired=True, reset the password with `Set-ADAccountPassword -Identity <username> -NewPassword '<new-password>' -Reset` (where <new-password> is a strong password). Use `LockoutStatus.exe` from the Microsoft free tools to diagnose if the lockout is due to the source computer locking the account or if it’s due to services using cached old password. Services using cached old password are diagnosed by using `Get-ADUser <username> -Properties EventID 4740` for the source computer lockout and fixing the cached password issue by updating the account using `Set-ADAccountPassword -Identity <username> -NewPassword '<new-password>' -Reset`. No need to refer to KB-00012 as it’s not relevant to AD lockout resolution. Escalation to IT Admins for Okta MFA reset procedures is not applicable here and requires an escalation.\", \"cited_artifacts\": [\"KB-00008\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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{"ticket_id": "TRAIN-00008", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the user jsmith account lockout issue in Active Directory, unlock the account using `Unlock-ADAccount -Identity jsmith` in PowerShell to clear the lockout status and use `Get-ADUser jsmith -Properties LockedOut,BadLogonCount,LastBadPasswordAttempt` to check if LockedOut=True and unlock it with `Unlock-ADAccount -Identity jsmith`. For lockout source, check `Get-ADUser jsmith -Properties LockedOut,BadLogonCount,LastBadPasswordAttempt` for BadLogonCount and LastBadPasswordAttempt to see if they are locked due to a bad logon or last bad password attempt, and use `LockoutStatus.exe` to check common sources of lockouts like mapped drives or services using cached old password. If PasswordExpired is True, the user must reset it via `Set-ADAccountPassword`. Check for Kerberos ticket issues with Event ID 4771 (pre-auth failed) and error codes 0x18 and 0x25 to ensure no clock skew due to <5 min is causing the clock skew. No specific KB or other procedure from the retrieved context can be applied for account lockout resolution, use the procedures for LockoutStatus tool and check for bad logon details directly in powershell. No escalation needed as the procedures are directly provided for troubleshooting.\", \"cited_artifacts\": [\"KB-00008\"], \"confidence\": 0.6, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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{"ticket_id": "TRAIN-00008", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the AD account locking issue, user jsmith's account remains locked due to mapped drives causing a lockout, which can be seen in Event ID 4740 on the PDC Emulator, indicating the source computer locking the account. Use `Get-ADUser <username> -Properties LockedOut,BadLogonCount,LastBadPasswordAttempt` in PowerShell to check the lockout status and use `Unlock-ADAccount -Identity <username>` to unlock. For longer bad password attempts leading to lockout, use `Get-ADUser <username> -Properties PasswordExpired` to check if PasswordExpired is True, and reset with `Set-ADAccountPassword` if True. No need for service account rotation or Okta/Google/Entra MFA reset procedures as those are related to multi-factor authentication and not AD account lockouts. Escalation to IT admin for help or a knowledge base on this issue is advised.\", \"cited_artifacts\": [\"KB-00008\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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{"ticket_id": "TRAIN-00008", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For jsmith's AD account lockout issue, the account is being locked due to the bad password attempts and password expiry, which is typical for 'Invalid credentials' and 'Account locked' errors respectively. Use PowerShell to check the lockout status with `Get-ADUser jsmith -Properties LockedOut,BadLogonCount,LastBadPasswordAttempt` to see if the account is locked out and unlock it using `Unlock-ADAccount -Identity jsmith`. For password expiry, use `Get-ADUser jsmith -Properties PasswordExpired` to check if the `PasswordExpired` is True, indicating a password reset is needed through `Set-ADAccountPassword -Identity jsmith -NewPassword 'NewPassword' -Reset`. No specific service account password rotation or authentication failures involving BGP peer sessions are mentioned, so no steps from KB-00012 or related are applicable to this scenario. Escalation to AD or admin guides is not required.\", \"cited_artifacts\": [\"KB-00008\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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{"ticket_id": "TRAIN-00008", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For user jsmith getting locked out of AD with a bad logon count and account lockout, the issue is due to a cached old password that leads to the bad logon count increment and account lockout. Use the `Get-ADUser <username> -Properties LockedOut,BadLogonCount,LastBadPasswordAttempt` command in PowerShell to check if the user jsmith’s account is locked and if the `Unlock-ADAccount -Identity <username>` command to unlock it. Use `(Get-ADUser <username> -Properties PasswordExpired).PasswordExpired` to check if the user needs to reset the account password due to password expiry; use `Set-ADAccountPassword` to reset the password if true. For a bad logon count increment, ensure the mapped drive or a service using the cached old password is not the source, use `LockoutStatus.exe` tool to check. No specific KBs provide solutions for the source of the account lockout based on a service account password rotation or BGP peer session down (which are not related).\", \"cited_artifacts\": [\"KB-00008\"], \"confidence\": 0.4, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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{"ticket_id": "TRAIN-00008", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the AD account lockout issue with jsmith, the steps are as follows: Use the PowerShell command `Get-ADUser <username> -Properties LockedOut,BadLogonCount,LastBadPasswordAttempt` to check the lockout status and unlock the account with `Unlock-ADAccount -Identity <username>` if LockedOut is True. To find the lockout source, use `Event ID 4740` from the PDC Emulator and use `LockoutStatus.exe` from Microsoft to determine the source, which could be a mapped drive or services using cached old password. Passwords are locked out every 10-15 minutes because it is set by the system to prevent brute-force attacks (password lockout threshold = 5 attempts within 10 minutes). Admins can reset the password via `Set-ADAccountPassword` if the `PasswordExpired` property is True. No further escalation needed as steps can be followed from the given contexts. No need to reference IDs from the Okta or Azure AD reset procedures due to the context being specific to AD lockouts.\", \"cited_artifacts\": [\"KB-00008\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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{"ticket_id": "TRAIN-00008", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For user jsmith who is locked out in AD and locks again every 10-15 minutes, use the following steps to troubleshoot: Use `Get-ADUser jsmith -Properties LockedOut,BadLogonCount,LastBadPasswordAttempt` in PowerShell to check the lockout status and unlock the account with `Unlock-ADAccount -Identity jsmith`. For a lockout source, use `Event ID 4740 on the PDC Emulator` to see the source computer locking the account and use the `Account Lockout Status (LockoutStatus.exe) tool` to see if it's due to mapped drives or services using cached old password. For password expiry, use `(Get-ADUser jsmith -Properties PasswordExpired).PasswordExpired` to see if the user needs a password reset via `Set-ADAccountPassword` and ensure `LockedOut=True`. No specific service account rotation steps are available from the provided context, so refer to KB-00008 for AD authentication failures and for Kerberos issues, refer to KB-00008 for ID 4771 error with details on clock skew. No specific steps are provided for user-unrelated issues like Okta or Azure AD MFA resets from the context, hence none are applicable here.\", \"cited_artifacts\": [\"KB-00008\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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{"ticket_id": "TRAIN-00008", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the issue where User jsmith's AD account keeps locking out every 10-15 minutes and needing to be unlocked each time, we can follow the AD authentication failure troubleshooting guide (KB-00008) with the following steps in PowerShell: For the lockout status check, use `Get-ADUser <username> -Properties LockedOut,BadLogonCount,LastBadPasswordAttempt` to see if LockedOut=True, and unlock the account with `Unlock-ADAccount -Identity <username>`. For the source of the lockout, use `Get-ADUser <username> -Properties PasswordExpired` to check if PasswordExpired is True, which means a reset with `Set-ADAccountPassword` is needed. To find the lockout source, use `Event ID 4740` on the PDC Emulator to see the source computer locking the account, and use `LockoutStatus.exe` tool from Microsoft. For password expiry, if `PasswordExpired` is True, a reset can be done with `Set-ADAccountPassword` with caution as admins cannot see the password directly. There are no services to rotate or AS/MD5 related to this issue; thus, there’s no escalation needed. \", \"cited_artifacts\": [\"KB-00008\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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{"ticket_id": "TRAIN-00031", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the API gateway 504 timeout issue, adjust the timeout configuration in the API gateway (like Kong) to `proxy_read_timeout 60000` to ensure the gateway waits for up to 60 seconds for the upstream response as per Step 4 of the API Gateway 504 Timeout Troubleshooting provided. For rollback of the billing-service v3.1.0 deployment, use the Kubernetes/Helm rollback procedure: `helm rollback <release-name> 0` or `kubectl rollout undo deployment/<name>` to roll back to v3.0.8. Execute within 15 minutes as per Application Deployment Rollback Procedure from KB-00020. No direct reference found for certificate renewal or API token revocation from the context provided, thus these steps are not applicable. Escalation to support ticket or expert advice is required for certificates and token management issues.\", \"cited_artifacts\": [\"KB-00020\", \"KB-00018\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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{"ticket_id": "TRAIN-00031", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the API Gateway 504 timeout, ensure the API is not being held up by a slow upstream service and its dependencies by checking the API gateway access logs for 504s with `grep 504 /var/log/kong/access.log | awk '{print $7, $9}' | sort -n` to identify timeouts and filter by the backend response times. For Step 2, test the slow service directly outside the gateway by hitting `http://<upstream-host>:<port>/endpoint` to ensure it’s responding as expected. For API Gateway rollback, refer to Application Deployment Rollback Procedure: Use `helm rollback <release-name> 0` or `kubectl rollout undo deployment/<name>` for Kubernetes/Helm rollback or `ln -sfn /opt/app/releases/<prev-version> /opt/app/current` followed by `systemctl restart <service>` for legacy VM rollback. No information is provided for rollback or certificates issues. Therefore, we need to escalate to a full documentation guide or for a specific rollback method based on the latest rollback procedure provided, which requires history lookup on the deployment tag and then a rollback to a previous tag with `helm rollback <release-name> 0` or similar methods if the environment supports it. No specific citation for certificate rollback or API Token practices from the provided context.\", \"cited_artifacts\": [\"KB-00018\", \"KB-00020\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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{"ticket_id": "TRAIN-00031", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the 504 Gateway Timeout issue on the API gateway for the /billing/invoice endpoint, we need to adjust the timeout configuration in the API gateway itself by setting `proxy_read_timeout 60000` in the configuration file (Kong). For rollback of the billing service v3.1.0, refer to the Kubernetes/Helm rollback procedure in KB-00020, using `helm rollback <release-name> 0` or `kubectl rollout undo deployment/<name>` to roll back to the previous version. No issues found in the retrieved context for database migration rollback or TLS certificate renewal. Escalation to support tickets or support channels is required for API token rotation and DHCP scope exhaustion issues as these do not have direct solutions provided. \", \"cited_artifacts\": [\"KB-00020\", \"KB-00018\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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{"ticket_id": "TRAIN-00031", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the API Gateway 504 timeout on /billing/invoice in the billing-service v3.1.0 deployment, the upstream service is the root cause and should not be addressed through rollback procedures. For the API Gateway timeout, adjust the timeout configuration in the API Gateway access logs, specifically on the API Gateway access logs under /var/log/kong/access.log to filter for 504s and use `grep 504 /var/log/kong/access.log | awk '{print $7, $9}' | sort -n` to check for the slow upstream. For handling the 504 timeouts, adjust the timeout configuration in the API Gateway with `proxy_read_timeout 60000` in the configuration file to 60000ms. No rollback procedures are applicable. Check upstream response for the API /billing/invoice with `curl -w '%{time_total}' -o /dev/null http://<upstream-host>:<port>/endpoint` to test directly. The API Gateway rollback and TLS certificate renewal, API token rotation, and DHCP scope exhaustion issues mentioned are not relevant to this API gateway timeout issue as they do not provide specific guidance on the API Gateway 504 Timeout. Escalation to the support ticket community or more specific APIs related to API Gateway timeout tuning is required for specific API Gateway timeout resolution steps, which can be detailed under other KBs if available.\", \"cited_artifacts\": [\"KB-00018\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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{"ticket_id": "TRAIN-00031", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the API gateway 504 timeout, filter for 504s in the API gateway access logs using the command `grep 504 /var/log/kong/access.log | awk '{print $7, $9}' | sort -n` to identify slow upstream services and check for DB query regression by running `explain plan on slow queries` to ensure a missing index. For the deployment rollback, use `helm rollback <release-name> 0` or `kubectl rollout undo deployment/<name>` to rollback to the previous version of the billing-service. For verification, use `helm history <release-name>` or `kubectl rollout history deployment/<name>` to check the rollback history. No mentions of rollback within 15 minutes for Kubernetes deployment in the retrieved context. The API token rotation and TLS certificate information is not relevant to the current ticket. No citation artifacts from the provided context are directly applicable for the rollback and TLS certificate issues.\", \"cited_artifacts\": [\"KB-00018\"], \"confidence\": 0.4, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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{"ticket_id": "TRAIN-00031", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For API Gateway 504 timeouts, the issue is the upstream service that is taking longer than the gateway's configured timeout. Use the API Gateway 504 Timeout Troubleshooting step-by-step to diagnose. For API Gateway timeouts, filter for 504 errors in API gateway access logs with `grep 504 /var/log/kong/access.log | awk '{print $7, $9}' | sort -n` to find the slowness. Additionally, bypass the gateway by hitting the upstream service directly using `curl -w '%{time_total}' -o /dev/null http://<upstream-host>:<port>/endpoint`. If this also times out, the issue is with the upstream service itself. For rollback of the billing service v3.1.0 to v3.0.8, use the Kubernetes/Helm rollback procedure from Application Deployment Rollback Procedure: `helm rollback <release-name> 0` to roll back to the previous version. The <release-name> should be replaced with the name of the release in your environment. No direct information on rollback to V3.0.8 can be found. Escalation to Support Ticket Assistance is advised for specific rollback steps, and refer to the provided rollback procedure guidelines and update the rollback command accordingly. No direct information on API token rotation or DHCP scope exhaustion are provided, therefore no actionable steps can be suggested from these retrieved context sections.\", \"cited_artifacts\": [\"KB-00018\", \"KB-00020\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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{"ticket_id": "TRAIN-00031", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the 504 Gateway Timeout issue with the API Gateway on /billing/invoice, the API gateway timeout is due to the upstream service not responding within the gateway's configured timeout of 60 seconds (in the config 'proxy_read_timeout 60000' in Kong). Use the API Gateway access logs to filter for 504 errors and analyze the times with: `grep 504 /var/log/kong/access.log | awk '{print $7, $9}' | sort -n`. For the rollback of the billing-service v3.1.0 deployment, refer to the Application Deployment Rollback Procedure in KB-00020, using `helm rollback <release-name> 0` or `kubectl rollout undo deployment/<name>` to roll back to v3.0.8 within 15 minutes of the bad deployment. No information was found regarding the API token rotation or revocation or DHCP scope exhaustion, so they are not applicable to this ticket. Escalation to the team is not required.\", \"cited_artifacts\": [\"KB-00018\", \"KB-00020\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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{"ticket_id": "TRAIN-00031", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the API Gateway 504 timeout issue on the /billing/invoice endpoint, identify the slow upstream service by checking API gateway access logs to filter out 504 responses and ensuring the upstream service does not return the expected time within the configured timeout (using `grep 504 /var/log/kong/access.log | awk '{print $7, $9}' | sort -n` and `curl -w '%{time_total}' -o /dev/null http://<upstream-host>:<port>/endpoint`). For deployment rollback of the billing service from v3.1.0 to v3.0.8, follow the rollback procedure for Kubernetes/Helm deployments. Use `helm rollback <release-name> 0` or `kubectl rollout undo deployment/<name>` to roll back to the previous revision (latest available using `helm history <release-name>`). No specific reference is given for rollback to v3.0.8, so it's not clear if the rollback procedure from v3.1.0 to v3.0.8 would follow the same steps, hence there’s a lack of direct context. Seek specific steps for v3.1.0 rollback to v3.0.8 for precise guidance or escalate for additional context on rollback procedures for specific versions or services.\", \"cited_artifacts\": [\"KB-00018\", \"KB-00020\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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{"ticket_id": "TRAIN-00014", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the search-service high latency due to Redis memory alert, the eviction policy is set to `allkeys-lru` which causes cache misses leading to increased Redis database load and response latency. To fix this, change the Redis eviction policy to `allkeys-random` using the `redis-cli CONFIG SET maxmemory-policy allkeys-random` command. For memory pressure, ensure Redis is not running with a high percentage of memory usage (>90%). Use `redis-cli CONFIG GET maxmemory` to ensure Redis is not using more memory than configured with `redis-cli CONFIG SET maxmemory 500mb` to allocate a reasonable max memory limit. For keys without TTL, add `spring.session.redis.cleanup-cron=0 * * * * *` in application properties to enable Redis cleanup. The given context does not provide solutions for Spring Session session timeout issues or API Gateway timeout problems directly, so these will not be addressed here.\", \"cited_artifacts\": [\"KB-00019\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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{"ticket_id": "TRAIN-00014", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the search service high latency due to Redis memory alert and 95% usage with an allkeys-lru eviction policy leading to cache misses and an OOM situation, you should increase Redis memory limit using the command `redis-cli CONFIG SET maxmemory 50MB` to scale down memory. For Spring Session storing sessions forever by default, you need to configure it properly by adding `spring.session.redis.cleanup-cron=0 * * * * *` to the application properties to ensure a cleanup strategy. No immediate mitigations are provided for the allkeys-lru eviction problem in the context, hence no specific fix is provided in the context. Escalation to Redis eviction policy and Spring session properties configurations are the only actionable steps from the given context. No references from other provided contexts could be used to advise on a specific immediate fix for cache misses without a clear resolution path from the available data.\", \"cited_artifacts\": [\"KB-00019\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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{"ticket_id": "TRAIN-00014", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Redis cache eviction issue causing high response times, the cache use case requires the eviction policy set to `allkeys-lru` as per KB-00019. For Spring Session keys, ensure `spring.session.timeout` is set or add `spring.session.redis.cleanup-cron=0 * * * * *` for immediate cleanup, and adjust the Redis eviction configuration to not allow the keys without TTL: `redis-cli CONFIG SET maxmemory 70%` to 80% of the total memory, and adjust maxmemory_policy to `allkeys-lru`. For keys without TTL, use `redis-cli CONFIG SET maxmemory 50%` and add `spring.session.redis.cleanup-cron=0 * * * * *`. No further fixes from the retrieved contexts are required for the connection pool exhaustion or API gateway timeout issues. Escalation to the support or DevOps leads for further investigation is advised for these aspects.\", \"cited_artifacts\": [\"KB-00019\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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{"ticket_id": "TRAIN-00014", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the search-service high latency after Redis memory alert due to 95% used memory with allkeys-lru eviction causing cache misses to spike and increasing database load, use KB-00019 for the Redis eviction policy issue. Use the command `redis-cli CONFIG GET maxmemory-policy` to check the eviction policy, it should be `allkeys-lru`. For Spring Session with Redis cache use, ensure `spring.session.timeout` is not set to 'forever' by default, fix this by adding `spring.session.redis.cleanup-cron=0 * * * * *` in the application properties. To handle Redis memory exhaustion and high eviction, scale up the Redis memory limit with `redis-cli CONFIG SET maxmemory <desired_memory_in_bytes>`. For the cache miss to decrease, ensure there are no keys without TTL in Redis by running `redis-cli --scan --pattern '*' | xargs -L 1 redis-cli ttl | grep -c '-1'` to check for keys without an expiration time and add `spring.session.redis.cleanup-cron=0 * * * * *` to the application properties for session cleanup. Escalation to a support specialist or revising to the appropriate KB or guide might be required for connection pool exhaustion as the context provided is insufficient for the same.\", \"cited_artifacts\": [\"KB-00019\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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{"ticket_id": "TRAIN-00014", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the search-service high latency after Redis memory alert with 95% usage and 'allkeys-lru' eviction policy, reduce memory usage to 90% or less by increasing the Redis memory limit with `redis-cli CONFIG SET maxmemory 800mb` if your Redis instance allows it. Ensure no keys have no TTL by checking `redis-cli --scan --pattern '*' | xargs -L 1 redis-cli ttl | grep -c '-1'` and adding `spring.session.redis.cleanup-cron=0 * * * * *` to Spring Session to ensure cleanup is enabled. For the Spring configuration, if no TTL is added to session keys, increase the Redis memory limit and configure Spring Session cleanup to prevent keys from staying indefinitely in memory. No direct fix for Redis eviction or key expiry issues are mentioned in the retrieved context, so no specific KB reference for that. No connection pool or API gateway issues mentioned, thus no steps from KB-00018 or KB-00017 applicable here.\", \"cited_artifacts\": [\"KB-00019\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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{"ticket_id": "TRAIN-00014", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the search-service high latency due to Redis memory alert with 95% usage and allkeys-lru eviction causing cache misses leading to increased database load, scale up Redis memory by setting `redis-cli CONFIG SET maxmemory <desired_memory>` to avoid memory exhaustion and set `redis-cli CONFIG SET maxmemory-policy allkeys-random` to randomize eviction policies which can help. For Spring Session in the session keys filling Redis memory, add `spring.session.redis.cleanup-cron=0 * * * * *` to the configuration to enable session cleanup every minute. No immediate fix is found for the cache misses issue related to cache eviction and key expiry without additional specific configuration or tuning, which does not correlate directly with the provided context. Escalation to seek comprehensive solutions on cache eviction and key expiry is advised from comprehensive KB articles on Redis Cache Eviction and Key Expiry Issues. No immediate cause for the search service latency escalations and response times are mentioned within the provided context; hence no step-wise immediate solution for the service degradation is available here.\", \"cited_artifacts\": [\"KB-00019\"], \"confidence\": 0.4, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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{"ticket_id": "TRAIN-00014", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Redis memory usage issue, the `allkeys-lru` eviction policy is causing cache misses which spike the Redis memory usage, leading to increased cache latency. Spring Session keys should have a timeout configured to prevent them from being stored indefinitely, as this can cause keys to fill Redis memory. Add 'spring.session.redis.cleanup-cron=0 * * * * *' to the application properties to ensure sessions are cleaned up. For the search service latency, it appears unrelated to Redis or any of the other services mentioned, so there's insufficient context to directly resolve this part without additional details. Adjust Redis eviction to 'allkeys-llist' or 'allkeys-random' which evict the least recently used or least frequently used keys respectively. Ensure keys don't have expiration TTL (Spring Session timeout default is infinite without setting 'spring.session.timeout') and handle Spring Session keys expiries by setting 'spring.session.redis.cleanup-cron=0 * * * * *' for cleanup. No specific methods or configs for search service latency are mentioned from the retrieved context. Escalation to specific resources or stack trace is needed for the service issues.\",\"cited_artifacts\": [\"KB-00019\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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{"ticket_id": "TRAIN-00014", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the search-service high latency issue due to Redis memory alert with 95% usage and key expiry causing cache misses, the correct eviction policy for Redis is `allkeys-lru`. Use the command `redis-cli CONFIG GET maxmemory-policy` to confirm it is indeed `allkeys-lru`. For Spring Session keys with no expiry and session storage indefinitely consuming memory, add the configuration `spring.session.redis.cleanup-cron=0 * * * * *` to enable cleanup. For keys without expiry in Redis (no expiration time), the command `redis-cli --scan --pattern '*' | xargs -L 1 redis-cli ttl | grep -c '-1'` will show the count. Address the memory usage issue by checking the memory used by Redis with `redis-cli INFO memory` to ensure `maxmemory` is within `maxmemory` and compare it with the `used_memory_rss`. If `maxmemory` is less than 90% of `maxmemory`, no eviction is active and the `maxmemory` value should be increased to lower the threshold. For the cache misses causing latency, use `redis-cli CONFIG SET maxmemory <new_value>` to scale up the Redis memory and decrease the number of cache misses. There is no direct mention of Spring Session misconfiguration and key expiry that needs immediate action from the given context. No definite fix for the Spring Session issue and current context does not provide a direct solution for Liveness probe errors. Thus, refer to the KB-00019 for eviction policy and Redis memory issue, and add the configuration `spring.session.redis.cleanup-cron=0 * * * * *` for Spring Session keys with no TTL. No step by step solution for the API gateway timeout or Kubernetes pod crash loop backoff issues as these are not linked in the retrieved context.\", \"cited_artifacts\": [\"KB-00019\", \"KB-00018\"], \"confidence\": 0.4, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 0.4, "step": 150}
|
||
{"ticket_id": "TRAIN-00038", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For OOM crashes due to unbounded Guava Cache or Caffeine cache in the user-profile service, add `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError` to the JVM startup parameters and use `jmap -dump:format=b,file=/tmp/heap_$(date +%s).hprof <pid>` to capture a heap dump which can be analyzed with Eclipse MAT to identify the 'Problem Suspect'. For orders-service DB connection exhaustion, confirm the connection pool exhaustion by checking `hikaricp_connections_active` and `hikaricp_connections_max` in Prometheus/Grafana for HikariCP pool metrics, and by running `kill -3 <pid>` to get the thread dump for JDBC threads in the 'RUNNABLE' or 'WAITING' state with stack frames for the database. For rollback with DB migration concern for v5.0.0, follow the Kubernetes/Helm rollback procedure using `helm rollback <release-name> 0` or `kubectl rollout undo deployment/<name>`. For database migration rollback check if there's a corresponding `V<n>__down` file in `/db/migrations/` and if `/db/migrations` points to the migration version. No specific rollback steps for Okta SCIM provisioning setup and DB crash are provided and hence would need to refer to KB-00016 for DB connection pool exhaustion and KB-00020 for rollback steps but no direct tickets match.\", \"cited_artifacts\": [\"KB-00015\", \"KB-00016\", \"KB-00020\"], \"confidence\": 0.4, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00038", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the user-profile service OOM crash, enable automatic heap dump on the JVM with the flags `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError` and use `jmap -dump:format=b,file=/tmp/heap_$(date +%s).hprof <pid>` to capture the heap dump with `jmap -dump:format=b,file=/tmp/heap_$(date +%s).hprof <pid>` to identify the cause by running 'Leak Suspects' report in Eclipse MAT. For DB connections exhausted in the orders-service, use Prometheus to check the hikaricp_connections_active metric and the hikaricp_connections_max metric for connection pool saturation, and use `kill -3 <pid>` to get thread dumps and `pg_stat_activity` for PostgreSQL or `SHOW PROCESSLIST` for MySQL to detect idle connection holding. For rollback with DB migration concern in v5.0.0, refer to the Application Deployment Rollback Procedure in KB-00020 for Kubernetes/Helm rollback: `helm rollback <release-name> 0` or `kubectl rollout undo deployment/<name>`. Ensure rollback is done within 15 minutes and the previous revision is checked with `helm history` or `kubectl rollout history`. No specific information on Okta SCIM 2.0 issues or CrashLoopBackOff from the provided context. Escalation to support experts or additional documentation required for the other issues.\", \"cited_artifacts\": [\"KB-00015\", \"KB-00016\", \"KB-00020\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00038", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the user-profile service OOM crash, add `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError` to the JVM startup options to enable heap dump on OOM with the flag `-XX:HeapDumpPath=/var/log/heapdumps/` to store the heap dumps at that location. Use `jmap -dump:format=b,file=/tmp/heap_$(date +%s).hprof <pid>` to capture a heap dump on the running process and open it with Eclipse MAT to analyze the heap dump, especially looking for the 'Problem Suspect' with the largest retained heap and drilling into the dominator tree for String interning or cache bloat issues. For the DB connection pool exhaustion, check Prometheus/Grafana metric `hikaricp_connections_active` and `hikaricp_connections_max` to confirm pool exhaustion and check the `pg_stat_activity` on the database side to find high 'idle' connection counts leading to pool saturation. For rollback in DB migration, the rollback is not described here directly, but for the manual rollback, use `helm rollback <release-name> 0` for Kubernetes/Helm rollback or `ln -sfn /opt/app/releases/<prev-version> /opt/app/current` for legacy VM rollback and restart the app to flush the pool, monitor the connection count. No specific rollback for DB migration rollback is mentioned in the retrieved context; refer to the KB-00020 for rollback procedure and configure the DB migration rollback if it exists manually. Escalation to other resources would be needed for specific DB migration rollback as it is not covered in the given context.\", \"cited_artifacts\": [\"KB-00015\", \"KB-00020\", \"KB-00016\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00038", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the user-profile service OOM-crashing, increase the `maximumSize` of the Guava Cache or Caffeine cache and add the JVM flag `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError` with `jmap -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/tmp/heapdumps/ -XX:HeapDumpSize=100M -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/tmp/heapdumps/ -XX:HeapDumpSize=100M <pid>` to create a heap dump and use Eclipse MAT to analyze heap dumps. For the orders-service DB connections exhausted issue, check Prometheus/Grafana metric `hikaricp_connections_active` and `hikaricp_connections_max` to confirm the pool exhaustion and use `kill -3 <pid>` to find connection holders in thread dumps. No direct guideline for rollback for DB migrations is available from the provided context. Ensure a rollback for the DB migration issue involves checking `/db/migrations/` for a corresponding `V<n>__down` or use the `kubectl rollout undo deployment/<name>` or `helm rollback <release-name> 0` commands for Kubernetes deployments and VM rollback commands given. Escalation to support ticket management software or seeking additional context on DB rollback is advised. For rollback of application deployment, use `helm rollback <release-name> 0` or `kubectl rollout undo deployment/<name>` to roll back to the previous revision and verify with `kubectl rollout status deployment/<name>` and `kubectl get pods` to ensure readiness. No specific rollback steps for VM-based rollback and DB migration rollback from the context provided.\", \"cited_artifacts\": [\"KB-00015\", \"KB-00020\", \"KB-00016\", \"cited_artifacts: []\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00038", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the JVM heap exhaustion, add `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError` to the JVM startup parameters to enable automatic heap dumps and use jmap -dump:format=b,file=/tmp/heap_$(date +%s).hprof to capture the heap dump on the running process to locate the 'Problem Suspect' with the largest retained heap using Eclipse MAT. For the orders-service DB connection exhaustion, check `Prometheus/Grafana` metrics for `hikaricp_connections_active` and `hikaricp_connections_max` to confirm the pool exhaustion and use `kill -3 <pid>` on the Linux application process to check for connection holders in `RUNNABLE` or `WAITING` state with JDBC/database stack frames. For rollback concern, use the Kubernetes/Helm rollback procedure: use `helm rollback <release-name> 0` to roll back to the previous version if using Helm or `kubectl rollout undo deployment/<name>` for non-Helm deployments within 15 minutes of the bad deployment. No specific rollback procedure for DB migration is listed in the provided context. Check `/db/migrations/` for a corresponding `V<n>__down` file in `/db/migrations/` for DB rollback and refer to the provided text for the basic steps on connection pool exhaustion. No direct reference to rollback for DB migrations; consult the DB migration rollback step from KB-00020 for a potential rollback strategy which is not comprehensive enough to fully resolve the issue. Escalation to experts or more detailed support documentation is recommended for DB migration rollback specifics.\", \"cited_artifacts\": [\"KB-00015\", \"KB-00016\", \"KB-00020\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00038", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For OOM crashes, ensure the Guava Cache or Caffeine in the user-profile service is configured with `maximumSize` to avoid heap exhaustion. For DB connections exhausted in the orders-service, ensure the pool size is configured correctly and monitor Prometheus/Grafana metrics for `hikaricp_connections_active` and `hikaricp_connections_max`. To rollback the release v5.0.0, use the Kubernetes/Helm rollback procedure: `helm rollback <release-name> 0` or `kubectl rollout undo deployment/<name>` to roll back to the previous revision if it’s within the 15-minute rollback window. For DB migration rollback, check `/db/migrations/` for a corresponding `V<n>__down` file in the migration directory to manually roll back the migration. No context about Okta SCIM provisioning rollback or CrashLoopBackOff issue is provided in the context. Escalation to support material is required for the CrashLoopBackOff root cause diagnosis as well as Okta SCIM configuration setup.\", \"cited_artifacts\": [\"KB-00015\", \"KB-00016\", \"KB-00020\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00038", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the OOM crash issue with Guava Cache or Caffeine unbounded cache leading to heap exhaustion, use `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError` to enable and trigger a heap dump on the running user-profile service process. For DB connections exhaustion, ensure the connection pool is not saturated by checking Prometheus/Grafana metrics `hikaricp_connections_active = hikaricp_connections_max` and `hikaricp_connections_pending`. Increase the limits or use `-XX:MaxHeapSize` to limit heap size in the JVM. For rollback of a DB migration, check `/db/migrations/` for a corresponding `V<n>__down` file to roll back the migration, and follow the rollback procedure for the DB migration with `helm rollback <release-name> 0` or `kubectl rollback deployment/<name>`. Escalation to an expert for Okta SCIM provisioning as the details for rollback are not provided in the context. No reference from KB-00009 for Okta provisioning rollback.\", \"cited_artifacts\": [\"KB-00015\", \"KB-00016\", \"KB-00020\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00038", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the OOM crash in the user-profile service, add the JVM flags `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError` to enable heap dumps and to force a clean restart. Use `jmap -dump:format=b,file=/tmp/heap_$(date +%s).hprof <pid>` to capture a heap dump and analyze with Eclipse MAT to look for the largest retained heap and the 'Problem Suspect' with the dominator tree (likely String interning or cache bloat). For the orders-service DB connections exhausted, check Prometheus/Grafana metric `hikaricp_connections_active` and `hikaricp_connections_max` to confirm pool exhaustion. If the pool is saturated, check thread dumps with `kill -3 <pid>` and the application logs for SQL queries or unclosed ResultSets to diagnose the cause. For rollback concern, since v5.0.0 included a DB migration and there’s no specific rollback procedure mentioned in the provided context for DB migrations, it's best to assume it's not covered in our provided data and refer to the 'Application Deployment Rollback Procedure' for Kubernetes/Helm rollback: use `helm rollback <release-name> 0` for fast rollback to the previous revision. For VM rollback: use `ln -sfn /opt/app/releases/<prev-version> /opt/app/current` and `systemctl restart <service>`. Monitor the metrics for the DB connection pool exhaustion and use the appropriate recovery steps from the provided DB connection pool exhaustion diagnostic steps. Escalation to IT Support or relevant documentation is advised for DB migration rollback. \", \"cited_artifacts\": [\"KB-00015\", \"KB-00016\", \"KB-00020\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00032", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the heap memory issue in the checkout-service, add `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError` to the JVM flags to automatically create heap dumps on OOM and force a clean restart. For the Redis eviction issue, ensure `maxmemory` is not too high by setting `redis-cli CONFIG SET maxmemory 850mb` to match the heap size. Use `redis-cli CONFIG GET maxmemory-policy` to ensure `maxmemory-policy` is set to `allkeys-lru` for better eviction. For session keys without expiry leading to Redis hit rate issues, add `spring.session.redis.cleanup-cron=0 * * * * *` to Spring Session configurations to ensure periodic session expiration is enforced. No specific context for Kubernetes CrashLoopBackOff or F5 health monitor issues. No extra steps for rollback procedure as provided context is not helpful for this issue. Escalation to experts or additional resources may be necessary for CrashLoopBackOff and F5 health monitor issues.\", \"cited_artifacts\": [\"KB-00019\", \"KB-00015\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00032", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the heap memory issue with Java in the checkout-service, add JVM flags `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError` to ensure heap dumps are captured on OOM. For the Redis cache eviction issue, set `redis-cli CONFIG SET maxmemory 700mb` to allow up to 700MB of memory (90% of the server’s available memory). For Spring Session cache, add `spring.session.redis.cleanup-cron=0 * * * * *` to the application properties to enable Redis session cleanup. No direct fix or escalation for the heap memory is found in the provided context. Use `jmap -dump:format=b,file=/tmp/heap_$(date +%s).hprof <pid>` to capture heap dumps and `eclipse-mat` to analyze heap dumps and identify the cause of heap exhaustion. No direct solution for Redis cache eviction is found, but `redis-cli CONFIG SET maxmemory 700mb` can be used. The crashLoopBackOff root cause is described but not linked to the issue of high heap memory or Redis cache eviction; hence, use caution on applying these solutions to the service crash issue.\", \"cited_artifacts\": [\"KB-00019\", \"KB-00015\"], \"confidence\": 0.5, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00032", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the heap exhaustion issue in the JVM, add the JVM flags `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError` to the startup configuration of your application and `-XX:MaxHeapSize=512m` to limit heap size to 512MB. For Spring Session cache overflow, set `spring.session.redis.cleanup-cron=0 * * * * *` to ensure the Redis cleanup schedule. Use the command `redis-cli CONFIG GET maxmemory-policy` to set the Redis eviction policy to `allkeys-lru` and ensure `maxmemory` is less than the used memory for proper memory management. No specific steps are provided for Redis keys without TTL or session keys exceeding their default lifetime of 14 days, but adding `spring.session.redis.cleanup-cron` helps in managing keys with no TTL by not storing them indefinitely. Escalation to support or a KB relevant to CrashLoopBackOff is not suggested from the provided info. Ensure no other specific tools like rollback or DB migration are needed as our focus is on the provided contexts. Watch out for the performance of the system with these changes and scale up as needed or seek more support for other aspects as mentioned.\", \"cited_artifacts\": [\"KB-00015\", \"KB-00019\", \"KB-00015\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00032", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the heap memory issue in the checkout-service v2.2, ensure that the Guava Cache or Caffeine cache is bounded with a `maximumSize` in the configuration to avoid unbounded cache overflow. For Redis eviction causing memory pressure, configure Redis eviction policy to `allkeys-lru` using `redis-cli CONFIG SET maxmemory-policy allkeys-lru` to avoid OOM by Redis by setting `maxmemory` lower than the used memory to avoid memory pressure. For Redis cache hit rate drops to 12%, ensure session keys are not stored indefinitely by Guava or Caffeine sessions without setting the maximum size or by enabling Spring Session cleanup with `spring.session.redis.cleanup-cron=0 * * * * *`. No direct reference is available for Spring Session timeout setting, but this should follow the correct Spring configurations. There is no context for dealing with the heap memory increase or the issue with Spring Session timeouts. No specific context matches the crash-loop-backoff issue from the retrieved contexts. Escalation to the appropriate expert or context is needed for that. Use the fixes for Redis eviction and Guava cache sizes for the given concerns. Escalation to support or another tool is required for Kubernetes crashLoopBackoff.\", \"cited_artifacts\": [\"KB-00019\", \"KB-00015\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00032", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the heap usage in the checkout-service from 800MB to 3.5GB and Redis cache hit rate dropping to 12%, add `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError` to the JVM options to enable automatic heap dump with the command `jmap -dump:format=b,file=/tmp/heap_$(date +%s).hprof <pid>` to capture the heap dump and use Eclipse MAT to analyze it for the largest retained heap. For Redis eviction and cache misses causing high memory usage, set the eviction policy to `allkeys-lru` using `redis-cli CONFIG SET maxmemory-policy allkeys-lru` and ensure `spring.session.redis.cleanup-cron=0 * * * * *` is used in the Spring configuration to avoid storing session data forever. No specific escalation from the provided context is needed for the Kubernetes Pod CrashLoopBackOff or rollback procedures as these are not relevant to the mentioned issues. Escalation is not applicable as all necessary details are present in the given retrieved context.\", \"cited_artifacts\": [\"KB-00015\", \"KB-00019\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00032", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the heap memory issue, add the JVM flag `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError` to enable automatic heap dump on OOM and use `jmap -dump:format=b,file=/tmp/heap_$(date +%s).hprof <pid>` to capture the heap dump on a running process. For the Redis cache eviction issue, set Redis eviction policy to `allkeys-lru` using `redis-cli CONFIG SET maxmemory-policy allkeys-lru` and check the memory pressure with `redis-cli CONFIG GET maxmemory` and `redis-cli INFO memory`. The Spring session should be configured with `spring.session.redis.cleanup-cron=0 * * * * *` to ensure sessions do not persist forever. No explicit reference for session keys being infinite and increasing heap memory from the given context, but ensure sessions are bounded and use maximumSize for cache in Guava or Caffeine. Escalation to an expert or further search might be required for Kubernetes crash loop and F5 LTM issues. For Cache hit rate in Redis, check maxmemory in Redis configuration and adjust maxmemory and maxmemory-policy appropriately. No exact context for this issue. \", \"cited_artifacts\": [\"KB-00019\", \"KB-00015\"], \"confidence\": 0.5, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00032", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the heap memory issue in the checkout-service, add the JVM flags to enable heap dump on OOM: `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError`. Use `jmap -dump:format=b,file=/tmp/heap_$(date +%s).hprof <pid>` to capture a heap dump for the process. For Redis cache eviction issues, use `redis-cli CONFIG GET maxmemory-policy` and set to `allkeys-lru` and check with `redis-cli CONFIG SET maxmemory <maxsize>` to avoid eviction. For Spring Session timeout issues, add `spring.session.redis.cleanup-cron=0 * * * * *` to the `application.properties` to set the timeout period in days. No resources directly resolve the Kubernetes CrashLoopBackOff issue from the provided context, so we need to refer to the Kubernetes Rollback procedure for rollback mechanism if needed, but we don’t see direct steps and resources here for the crash loop issue. No direct reference to rollback procedure for VM rollback or DB migration rollback in the context provided. Escalation to these contexts is not recommended from the context given.\", \"cited_artifacts\": [\"KB-00015\", \"KB-00019\", \"spring.session.redis.cleanup-cron=0 * * * * *\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00032", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the checkout-service high heap usage to 3.5GB and Redis cache hit rate dropping to 12%, increase the JVM maximum heap size by adding `-Xmx1024m` to the startup command of the checkout-service application. For Redis eviction issues, configure the eviction policy to `allkeys-lru` using `redis-cli CONFIG SET maxmemory-policy allkeys-lru` and set the maximum memory Redis can use with `redis-cli CONFIG SET maxmemory 700mb` to avoid maxmemory from 900mb to 700mb to ensure Redis isn’t using more than necessary. For spring session key caching, add the following configuration in application.properties: `spring.session.redis.timeout=60m` to clear sessions after 60 minutes and `spring.session.redis.cleanup-cron=0 * * * * *` to enable Redis cleanup using cron. No direct advice is given for the heap memory issue, but heap dumps can be enabled with `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/-XX:+ExitOnOutOfMemoryError` and a heap dump taken with `jmap -dump:format=b,file=/tmp/heap_$(date +%s).hprof <pid>` to analyze with Eclipse MAT. For Redis eviction: `redis-cli CONFIG GET maxmemory-policy` to ensure it is `allkeys-lru` and `redis-cli CONFIG SET maxmemory 700mb` to prevent Redis memory overuse. No mentioned solution for the crashloopbackoff as this is unrelated to the given issues and should be sought in another KB or not clear from the retrieved context.\", \"cited_artifacts\": [\"KB-00019\", \"KB-00015\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00002", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the issue where users on floor 4 (VLAN 10.40.0.0/24) are receiving APIPA addresses (169.254.x.x), the immediate mitigation strategy is to use the `show ip dhcp pool` command to confirm utilization and if utilization is over 95%, use `clear ip dhcp binding *` to force all clients to renew. If utilization is around 95%, increase the DHCP pool scope from /24 to /23 or add a new secondary pool to reduce the utilization and prevent scope exhaustion. For permanent fixes, extend the DHCP lease time from 8 days to 1 day using the command `ip dhcp pool CORP_WIFI / lease 1`. For avoiding DNS server issues, refer to the KB-00006 context for DHCP scope exhaustion and the KB-00006 context for the immediate mitigation steps. No reference to the other contexts are pertinent to the ticket.\", \"cited_artifacts\": [\"KB-00006\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00002", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For users on VLAN 40 (10.40.0.0/24) on floor 4 getting APIPA addresses (169.254.x.x), run `show ip dhcp pool` to confirm utilization and proceed with `clear ip dhcp binding *` to force all clients to renew if utilization is over 95%. If this does not resolve the issue and utilization remains high, execute `ip dhcp pool CORP_WIFI / lease 1` to reduce the lease time to 1 day or add a new secondary pool if /24 is full. For the DHCP scope exhaustion, there is an immediate mitigation step: if utilization is over 95%, use `show ip dhcp binding | include Expiry` to check for entries with expiry >7 days in the future and delete them with `show ip arp | include <subnet>` to remove orphaned entries and entries with 'Incomplete'. No need to escalate as the relevant context is provided. No references to KB-00012 or KB-00010 or KB-00011 are present.\", \"cited_artifacts\": [\"KB-00006\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00002", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the users on VLAN 40 getting APIPA addresses (169.254.x.x) due to a DHCP scope exhaustion, the immediate mitigation step is to use `show ip dhcp pool` to confirm utilization. If utilization is >95%, run `clear ip dhcp binding *` to force all clients to renew IP addresses within a maintenance window. To prevent scope exhaustion in the future, adjust the DHCP scope parameters: reduce the lease time from 8 days to 1 day with `ip dhcp pool CORP_WIFI / lease 1` or add a new secondary pool if the /24 scope is full. For a permanent solution, expand the scope from /24 to /23 or add a new secondary pool if needed. Do not perform the command `clear ip dhcp binding <specific-ip>` for targeted stale entries. There is no need to escalate as this can be resolved with the immediate mitigation or adjustments to the DHCP pool parameters as mentioned in KB-00006.\", \"cited_artifacts\": [\"KB-00006\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00002", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the DHCP scope exhaustion preventing users on VLAN 40 from getting proper IP addresses (169.254.x.x APIPA addresses), use the KB-00006 article for emergency recovery. Run the command `show ip dhcp pool` to confirm if the utilization is above 95% and proceed to `clear ip dhcp binding *` to force a re-lease of IP addresses. If this does not work, execute `clear ip dhcp binding *` within a maintenance window, or `clear ip dhcp binding <specific-ip>` to target specific stale entries. For permanent solutions, reduce the lease time to 1 day using `ip dhcp pool CORP_WIFI / lease 1` or expand the scope by increasing the subnet mask to /23 or adding another secondary pool. Ensure DHCP snooping is enabled to prevent rogue DHCP servers by running `ip dhcp snooping enable`. No other solutions are provided in the context and hence no escalation to other articles is required.\", \"cited_artifacts\": [\"KB-00006\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00002", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For users on VLAN 40 (10.40.0.0/24) getting APIPA addresses (169.254.x.x), it indicates a DHCP scope exhaustion issue where the DHCP pool utilization is >95%. Use the command `show ip dhcp pool` to confirm utilization and if it exceeds 95%, run `clear ip dhcp binding *` to force a global DHCP scope cleanup, reducing the scope to a shorter lease time with `ip dhcp pool CORP_WIFI / lease 1` or expanding the scope with `clear ip dhcp binding *` if /24 is full and reducing it to /23 or adding a new pool. No need for escalation as the context directly mentions the solution for APIPA addresses with DHCP scope exhaustion. Escalation to experts is advised for unclear issues.\", \"cited_artifacts\": [\"KB-00006\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00002", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the DHCP scope exhaustion on VLAN 40 leading to APIPA addresses (169.254.x.x) on floor 4, run `show ip dhcp pool` to confirm utilization and if it exceeds 95%, use `clear ip dhcp binding *` to force a client renewal and reduce the lease time from 8 days to 1 day with the command `ip dhcp pool CORP_WIFI / lease 1`. If this does not work, adding a new secondary pool with `ip dhcp pool CORP_WIFI-SEC / range 10.40.0.100-10.40.0.200` or expanding the scope to /23 with `ip dhcp pool CORP_WIFI / supernet 23` and using the provided recovery options for preventing future scope exhaustion by reducing the lease time or adding a new secondary pool. No specific steps are given for the ARP table or checking the 'Incomplete' entries with the `show ip arp` command in the retrieved context, so no reference from KB-00006 is needed for checking stale leases. No reference is found for other tickets from KB-00012, KB-00010, and KB-00011 relevant to the given issue.\", \"cited_artifacts\": [\"KB-00006\"], \"confidence\": 0.4, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00002", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the issue of users on VLAN 40 (10.40.0.0/24) on floor 4 getting APIPA addresses (169.254.x.x) due to DHCP scope exhaustion, use KB-00006 for emergency recovery: `show ip dhcp pool` to confirm utilization. If utilization is >95%, use `clear ip dhcp binding *` and if there are specific stale entries, use `clear ip dhcp binding <specific-ip>`. For permanent fixes, expand the scope by using `ip dhcp pool CORP_WIFI / lease 1` or by adding a new secondary pool if the current /24 is full, and switch to a /23. No escalations needed from the provided contexts.\", \"cited_artifacts\": [\"KB-00006\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00002", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the DHCP scope exhaustion issue where the DHCP pool is being utilized by more than 95% of the available addresses in the 10.40.0.0/24 VLAN (VLAN 40), you need to clear IP DHCP binding to force clients to renew and reduce the lease time from 8 days to 1 day using the command `show ip dhcp pool` to confirm utilization (utilization >95%). If specific IP address entries are stale and causing issues, clear these using `clear ip dhcp binding *` but be cautious and only do this in a maintenance window and if stale leases are the cause. For immediate mitigation within 5 minutes, use `clear ip dhcp binding *` and choose option A for a permanent fix by reducing the lease time from 8 days to 1 day: `ip dhcp pool CORP_WIFI / lease 1`. If the pool is full, consider expanding the scope to /23 or adding a secondary pool: `show ip dhcp pool` to confirm utilization, and for permanent fixes, use option B by expanding the scope to /23 or adding a secondary pool. No escalation needed as the context contains actionable steps for both the DHCP scope exhaustion and APIPA addresses on the subnet.\", \"cited_artifacts\": [\"KB-00006\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00026", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the API Gateway 504 timeout, check the upstream response time with `grep 504 /var/log/kong/access.log | awk '{print $7, $9}' | sort -n` and use `curl -w '%{time_total}' -o /dev/null http://<upstream-host>:<port>/endpoint` to filter 504 responses directly. For Redis cache evictions, set Redis eviction policy to `redis-cli CONFIG SET maxmemory-policy allkeys-lru` to use allkeys-lru for caching. For the API Gateway timeout, adjust the timeout configuration in Kong with `proxy_read_timeout 60000`. For the Redis eviction, ensure `maxmemory` does not exceed 90% and add `redis-cli CONFIG SET maxmemory 600mb` (adjust according to usage) to ensure Redis memory usage does not exceed 600mb and use `maxmemory-policy allkeys-lru` to set cache eviction policy to least recently used. No direct solution from retrieved context is provided for the Kubernetes CrashLoopBackOff issue, so we escalate for this component. No further resolution steps are provided for database connection pool exhaustion, so we escalate for that too. Escalation will be needed for these two unresolved issues.\", \"cited_artifacts\": [\"KB-00019\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00026", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Redis cache eviction and key expiry issues, switch to `allkeys-lru` eviction policy in Spring Session by setting `spring.session.cache.type=redis` and `spring.session.cache.maxElementsInMemory=1000` in the application properties. For API gateway timeouts, the steps to address are: Identify the slow upstream by running `grep 504 /var/log/kong/access.log | awk '{print $7, $9}' | sort -n` to find 504 gateway timeouts. Use `curl -w '%{time_total}' -o /dev/null http://<upstream-host>:<port>/endpoint` to bypass the gateway and check the response time and if it times out directly. Adjust timeout in KONG by setting `proxy_read_timeout 60000` for 60 seconds in the Kong configuration. For the DB connection pool exhaustion, ensure that the pool is not saturated by checking Prometheus metrics `hikaricp_connections_active` and `hikaricp_connections_max` and `hikaricp_connections_pending`. If the pool is saturated, it may be due to connection holders in the thread dumps or 'idle' connection counts on DB side. For the API gateway timeout, add `proxy_read_timeout 60000` to KONG config. For the Redis eviction, use `redis-cli CONFIG SET maxmemory 100mb` to set Redis memory limit to 100mb and configure `allkeys-lru` eviction policy with `spring.session.cache.maxElementsInMemory=1000`. For connection pool exhaustion, ensure `hikaricp_connections_max` does not exceed `hikaricp_connections_active` and check that there is no excessive 'idle' connection count on DB side by using `SHOW PROCESSLIST;` on the DB side. No specific escalations from the provided contexts are required for these issues.\", \"cited_artifacts\": [\"KB-00019\", \"KB-00018\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00026", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Redis cache eviction and key expiry issue, the eviction policy can be checked with `redis-cli CONFIG GET maxmemory-policy` to ensure it is using `allkeys-lru` for caching, and not `noeviction`. For the API gateway 504 timeout, the first step is to identify the slow upstream by checking the API gateway logs with `grep 504 /var/log/kong/access.log | awk '{print $7, $9}' | sort -n`. If the filter returns slow requests, the upstream request processing can be timed out by the API gateway, adjust the timeout configuration in Kong to `proxy_read_timeout 60000` to ensure no timeout occurs. For the API gateway timeout, test the upstream service directly using `curl -w '%{time_total}' -o /dev/null http://<upstream-host>:<port>/endpoint`. If the upstream timeouts as well, check the common causes in the API gateway timeout by checking upstream response times and ensuring the DB query is not the issue. The connection pool exhaustion can be confirmed in the application with Prometheus/Grafana metrics and application thread dumps to check `hikaricp_connections_active` and ensure the connection pool isn't being held by threads, setting `hikaricp_connections_max`. The Spring Session with Redis issue requires the key to have TTL, use `spring.session.redis.cleanup-cron=0 * * * * *` for a cron to clear expired sessions. No direct escalations from the given context can be suggested.\", \"cited_artifacts\": [\"KB-00019\", \"KB-00018\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00026", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Redis memory pressure causing evictions, use the KB-00019 guideline by setting `spring.session.redis.cleanup-cron=0 * * * * *` in the Spring configuration to enable Redis session cleanup and avoid storing sessions forever without a timeout. For the API gateway 504 timeout, identify the slow upstream service by filtering the API gateway access logs for 504s with `grep 504 /var/log/kong/access.log | awk '{print $7, $9}' | sort -n` and bypass the gateway directly with `curl -w '%{time_total}' -o /dev/null http://<upstream-host>:<port>/endpoint`. If this times out, check the upstream directly by running `kill -3 <pid>` on the application thread dump to look for long-running queries or unclosed ResultSets leading to DB query regression and check `SHOW PROCESSLIST;` in the database side for idle connection count and connection 'active' status. No context directly links API Gateway 504 timeout to Redis memory pressure or vice versa, so these issues are independent; no escalation is required.\", \"cited_artifacts\": [\"KB-00019\", \"KB-00018\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00026", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Redis cache eviction issue, configure Redis eviction to 'allkeys-lru' with the command `redis-cli CONFIG SET maxmemory 70%` to prevent memory pressure. For API gateway 504 timeouts, use the steps from API Gateway 504 Timeout Troubleshooting: Filter access logs for 504s with `grep 504 /var/log/kong/access.log | awk '{print $7, $9}' | sort -n` to identify the slow upstream. For upstream issues, use `curl -w '%{time_total}' -o /dev/null http://<upstream-host>:<port>/endpoint` to check if the upstream is directly causing timeouts. For connection pool exhaustion, ensure the `hikaricp_connections_max` in Prometheus/Grafana is not equal to `hikaricp_connections_active` to prevent pool exhaustion. No specific ticket from the provided context directly escalates to Kubernetes CrashLoopBackOff or Spring Session configuration, thus none are applicable for the given error. Escalation to additional tickets or context required for CrashLoopBackOff and Spring Session configuration issues.\", \"cited_artifacts\": [\"KB-00019\", \"KB-00018\"], \"confidence\": 0.4, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00026", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Redis cache eviction and key expiry issues, use the command `redis-cli CONFIG SET maxm` to set the maximum memory in bytes, ensuring Redis does not go over 90% used memory. For API gateway 504 timeouts, check the KONG access logs for 504s using `grep 504 /var/log/kong/access.log | awk '{print $7, $9}' | sort -n` to identify which endpoint is the slow upstream. For API gateway timeout troubleshooting, run `curl -w '%{time_total}' -o /dev/null http://<upstream-host>:<port>/endpoint` to test the upstream service directly. For the checkpoint API checkout service, ensure session and cart keys in Spring Session do not store data forever by setting `spring.session.timeout` to an appropriate timeout value with `spring.session.redis.cleanup-cron=0 * * * * *` in the application properties. Escalation to Support Team or Technical Documentation is advised for any configuration or policy settings not covered in the above resources.\", \"cited_artifacts\": [\"KB-00017\", \"KB-00018\", \"KB-00019\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00026", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the API gateway 504 timeout issue, use the steps provided in KB-00018: Identify the slow upstream by checking API gateway access logs for 504s and filtering with `grep 504 /var/log/kong/access.log | awk '{print $7, $9}' | sort -n` to find the upstream host and port using `curl -w '%{time_total}' -o /dev/null http://<upstream-host>:<port>/endpoint` to see if there is a timeout. For Redis eviction causing evictions, use KB-00019: Set the eviction policy to 'allkeys-lru' with `redis-cli CONFIG SET maxmemory-policy allkeys-lru` and enable cleanup with `spring.session.redis.cleanup-cron=0 * * * * *` in the Spring Session configuration. No concrete suggestions are provided for the API gateway timeout issue and Redis eviction issues are related, but not directly linked in the context. Escalation to support tickets or expert help might be necessary for resolving the API gateway timeout issue.\", \"cited_artifacts\": [\"KB-00018\", \"KB-00019\"], \"confidence\": 0.4, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00026", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Redis memory pressure causing evictions, set the eviction policy to `allkeys-lru` in Spring Session by adding `spring.session.redis.cleanup-cron=0 * * * * *` to the application properties and to prevent Redis from holding session keys without TTL, add `spring.session.timeout=600` to the properties to set a session timeout. For the API gateway 504 timeout issue, filter for 504s in the API gateway access logs with `grep 504 /var/log/kong/access.log | awk '{print $7, $9}' | sort -n` to find slow upstream services and use the `proxy_read_timeout 60000` command in the configuration to adjust the timeout on the Kong proxy. For the DB query regression leading to timeouts, use `explain plan` on slow queries and ensure no missing index exists. For connection pool exhaustion, check Prometheus/Grafana metric `hikaricp_connections_active` to confirm if the pool is saturated and check `hikaricp_connections_max` and `hikaricp_connections_pending` for saturation. The root cause of CrashLoopBackOff is memory limit too low for the Redis container in Kubernetes, fix by increasing the memory limit with `resources.limits.memory` and managing the Redis eviction with `redis-cli CONFIG SET maxmempolicy allkeys-lru` and `redis-cli CONFIG SET maxmemory 700mb`. Escalation to expert-level support or additional reference materials is advised for the BGP peer session troubleshooting guide as the context is insufficient for a direct fix.\", \"cited_artifacts\": [\"KB-00019\", \"KB-00018\"], \"confidence\": 0.4, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00040", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the issue with the Lenovo T16 fingerprint reader not being recognized as a FIDO2 authenticator, there seems to be no relevant information provided in the retrieved context to resolve the hardware-specific issue with the fingerprint reader. The provided contexts are for Okta SCIM provisioning, SAML 2.0 SSO, and Service Account Password Rotation which do not address the Lenovo T16 hardware fingerprint reader issue. Escalation to external resources or more specific context related to FIDO2 and fingerprint readers is required for this ticket.\", \"cited_artifacts\": [], \"confidence\": 0.0, \"escalate\": true}}\n```", "parsed": true, "r_parsimony": 0.5, "step": 150}
|
||
{"ticket_id": "TRAIN-00040", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the issue with the Lenovo T16 laptops not recognizing the built-in fingerprint reader as a FIDO2 authenticator, the Lenovo T16 hardware is likely related to the fingerprint reader and its FIDO2 support not being properly recognized by the system. This appears to be an issue with the hardware itself rather than an Okta or SAML configuration issue. There is no clear reference to a configuration issue in the given contexts for Okta SCIM or SAML configuration. Escalation to hardware documentation or specific authentication software configurations for Lenovo T16 might be needed for further resolution. No direct references to the Lenovo T16 hardware or fingerprint reader configurations in the provided contexts.\", \"cited_artifacts\": [], \"confidence\": 0.0, \"escalate\": true}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00040", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the FIDO2/WebAuthn passkey issue on Lenovo T16 laptops with the fingerprint reader not being recognized, there is no direct configuration or setup from the provided retrieved contexts that directly address the fingerprint reader as a FIDO2 authenticator. However, to ensure the hardware fingerprint reader is recognized as a FIDO2 authenticator on Lenovo T16 laptops, refer to the Microsoft documentation on recognizing fingerprint readers as FIDO2 authenticators, which is not present in the provided contexts. Escalation to Microsoft or FIDO2 community forums or a relevant FIDO2 guide would be needed. No specific ticket resolutions are provided in the retrieved context that directly answer the hardware identification requirement for FIDO2 authenticator on Lenovo T16 laptops.\", \"cited_artifacts\": [], \"confidence\": 0.0, \"escalate\": true}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00040", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Lenovo T16 laptop fingerprint reader not being recognized as a FIDO2 authenticator, refer to the KB-00010 article on SAML 2.0 SSO Configuration — IdP and SP Setup for setup and attribute mapping details, focusing on the attribute mapping for the FIDO2 passkey setup (attribute name: `id_token.claim.type` should map to the `assertion.claim_type` and `id_token.claim` values in Okta’s attribute mapping settings). The attribute type for the fingerprint reader is likely `fingerprint`, which you would map under `challenge.user.name` or `challenge.user.id` to align with the FIDO2 passkey requirements. Ensure the SP (Okta side) URL matches what Okta expects, and adjust the attribute mappings correctly in the Okta Admin > Applications > App > Provisioning tab. No additional resources from the provided contexts can help resolve the specific issue with the Lenovo fingerprint reader not being recognized as a FIDO2 authenticator.\", \"cited_artifacts\": [\"KB-00010\"], \"confidence\": 0.1, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00040", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"The issue with the Lenovo T16 laptops not recognizing the fingerprint reader as a FIDO2 authenticator is due to the built-in fingerprint reader not being recognized as a FIDO2 authenticator and not being properly integrated with the FIDO2 ecosystem. There’s no direct information provided about how to integrate a fingerprint reader into the FIDO2 authentication system on a Lenovo laptop, and thus, we can’t suggest a specific article or configuration to fix the issue based on the provided context. Escalation to expert advice or a relevant software library is recommended.\", \"cited_artifacts\": [], \"confidence\": 0.0, \"escalate\": true}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00040", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Lenovo T16 fingerprint reader not being recognized as a FIDO2 authenticator issue, refer to the Okta SCIM 2.0 Provisioning setup guide for creating a new integration in Okta Admin. Go to Applications > App > Provisioning tab and enable SCIM provisioning with the given steps. Use the attribute mapping for user lifecycle synchronization like 'userName' (email) mapped to 'email' in Okta and 'name.givenName' mapped to 'givenName' in the Okta attribute mapping. Ensure that the Bearer token is not expired and that the SCIM endpoint is enabled in Okta. No direct reference to FIDO2 or the fingerprint reader in the provided context, thus escalation to the Okta provisioning guide is necessary. No specific reference to fingerprint reader or FIDO2 failure from the provided contexts, hence no direct resolution found; refer to Okta SCIM guide for Okta Admin setup and attribute mapping steps only.\", \"cited_artifacts\": [\"KB-00009\"], \"confidence\": 0.1, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00040", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"The issue with the Lenovo T16 laptops not recognizing the built-in fingerprint reader as a FIDO2 authenticator could be due to a misconfigured FIDO2 setup on the Okta side for SSO. Ensure that Okta's FIDO2 settings are configured correctly in the SCIM provisioning setup. In Okta Admin: Applications > App > Provisioning tab > Enable SCIM provisioning. Ensure the SCIM connector base URL is `https://<your-app>/scim/v2/` and the Bearer token is correctly set up as per the setup instructions provided. No specific attribute mapping is mentioned in the Okta SCIM provisioning setup so no attribute mapping from the retrieved context can be referenced. Escalation to Okta support or Okta documentation for more details on FIDO2 configuration with Lenovo T16 fingerprint reader might be required.\", \"cited_artifacts\": [\"KB-00009\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00040", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Lenovo T16 laptop fingerprint reader issue with FIDO2 passkeys, you need to ensure that the fingerprint reader is recognized as a FIDO2 authenticator. However, the provided contexts do not directly provide a solution for this hardware-specific issue related to fingerprint readers and FIDO2 passkeys. There are no specific articles in the provided contexts that address this problem. Escalation to Okta SCIM 2.0 provisioning setup and Troubleshooting might be indirectly related since it addresses Okta integration but does not provide solutions for hardware devices. Hence, we cannot resolve this ticket with the given information.\", \"cited_artifacts\": [], \"confidence\": 0.0, \"escalate\": true}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00006", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"The issue with the site-to-site VPN tunnel to the Singapore branch office dropping and reestablishing every 20-40 minutes is due to a mismatch in the MTU between the peer interfaces of the two routers in the branch office and the main office. Use the `show ip ospf neighbor` command to check if the remote router is in the INIT state and if both routers have consistent hello/dead intervals matching the subnet masks. For an MTU mismatch, ensure that the physical MTU of the branch office interface matches the main office interface. Use `show ip ospf` to check area flags for area mismatch. For the peer addresses in INIT state and inconsistent HELLO intervals, add `ip ospf mtu-ignore` on both interfaces in the branch office router. No specific resolution is provided in the retrieved context for the VPN tunnel flapping issue; refer to KB-00002 for MTU alignment and KB-00005 for ensuring consistency in the MTU and area flags. Escalation to expert support or additional context on the phases of the Phase 1 and Phase 2 mismatches are needed for further guidance on this aspect.\", \"cited_artifacts\": [\"KB-00002\"], \"confidence\": 0.1, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00006", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Site-to-site VPN to branch issue, the most common issue seems to be an MTU mismatch between the two peers due to different MTU sizes on the interfaces leading to EXSTART/EXCHANGE states getting stuck. Use the command `show ip ospf neighbor detail` to check the state of the neighbors and ensure that they are in 2-WAY or EXCHANGE states. Ensure the MTU size matches on both routers and use the command `ip ospf mtu-ignore` on both interfaces if MTU is different. Check the area mismatch by using `show ip ospf neighbor detail` and ensuring the area flags on both routers are the same (non-stub). For the reestablishment after every 20-40 minutes, the network latency to Singapore (averaging 180ms) is within the range that should handle without major issues for MTU mismatch, but ensure that neither area mismatch nor hold-timer issues arise. Use debug commands like `debug ip ospf adj` for state check and `debug ip ospf` for area flag verification, and align the MTU between the peers by using `ip ospf mtu-ignore`. No specific reference from the above context directly addresses the hold timer or configuration mismatch, but this could be a secondary issue which should be ruled out with diagnostic commands for hold-timer and configuration hold-timer mismatch through `neighbor <ip> timers <keepalive> <hold>` and `clear ip ospf adj` to clear the hold-timer error. No direct reference to BGP is seen and no specific escalations mentioned in KBs for this issue, so it’s not an escalation case. Escalation to expert or additional context required for hold-timer mismatch or hold-timer log analysis.”\", \"cited_artifacts\": [\"KB-00002\"], \"confidence\": 0.4, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 0.4, "step": 150}
|
||
{"ticket_id": "TRAIN-00006", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the site-to-site VPN to branch issue with adjacency failure in the OSPF protocol leading to MTU mismatch, use the 'align physical MTU or add `ip ospf mtu-ignore`' fix from KB-00002. For the reestablishment issue, since the described symptoms do not align with Cisco ISR Series addressing the phase1/phase2 parameter mismatch and DPD misconfiguration from KB-00005, and BGP peer session down from KB-00001 does not seem relevant due to the tunnel flap not being a network topology or configuration mismatch, but rather a parameter mismatch and DPD timer settings, consider that the WAN latency to Singapore (averaging 180ms) could indicate a network delay issue not addressed by the given FAQs. No direct resolution is provided for the congestion in branch reestablishing at 20-40 minutes and the tunnel flap, which might need additional context or expert advice on Phase 1/Phase 2 parameter mismatch.\", \"cited_artifacts\": [\"KB-00002\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00006", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"The issue with the site-to-site VPN tunnel dropping every 20-40 minutes and reestablishing on its own is due to an MTU mismatch between the interface on the branch router and the peer router at 198.51.100.22. Use the command `show ip ospf neighbor` and check for the state INIT or 2-WAY to identify if there's a mismatch with the HELLO intervals and the subnet masks. For the tunnel reestablishing after re-establishing, ensure the MTU on both interfaces are the same by running `show ip ospf mtu`. For potential area mismatch, check `show ip ospf` to see if both routers agree on the area flags as STUB or Nssa. There is no specific reference for the delay issue of the tunnel dropping and re-establishing, and the given steps for Phase 1 and Phase 2 are not directly applicable, so we address the MTU and area mismatch for this issue. No reference for API gateway timeout or IPSec Phase 2 algorithm mismatch steps provided.\", \"cited_artifacts\": [\"KB-00002\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00006", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the site-to-site VPN to branch that keeps dropping and reestablishing every 20-40 minutes, the issue could stem from an MTU mismatch causing EXSTART/EXCHANGE adjacency states to get stuck (OSPF adjacency failure). To align the MTU, use the command `show ip ospf neighbor detail` to check the HELLO and DEAD intervals and ensure they match the subnet mask. For area mismatch, use `show ip ospf` to ensure both routers agree on the area flags. The `ip ospf mtu-ignore` command can be used for MTU alignment. No specific reference in the retrieved context for resolving the flapping issue with IPSec IKEv2 or for API gateway timeout issues. Escalation to KB-0005 or local network analysis via tracing to the gateway is advised if these steps don’t work. Check the hold-timer in `show ip ospf neighbors detail` for a state like 'Idle' or '2-WAY' but not 'FULL'. Escalation to expert network advice on other factors (e.g., reevaluation of security configs if using BGP peer mismatch could be added after system checks).\", \"cited_artifacts\": [\"KB-00002\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00006", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Site-to-site VPN to branch issue where the tunnel keeps dropping every 20-40 minutes, align the MTU between the interfaces of the branch router and the main office using the command `show ip ospf neighbor detail` to check for the state ‘INIT’ and ensure both routers have MTU aligned. Use `ip ospf mtu-ignore` on both interfaces if this is not successful. For the reestablishment, focus on the MTU discrepancy (since this happens every 20-40 minutes and involves reestablishment), but do not escalate to area-type mismatch as provided and noted. No direct steps align to parameter mismatch or Phase 1/Phase 2 config for the tunnel flapping. Escalation to the Log-check for inconsistent hold-timer intervals in the main router and setting them in the commands provided for MTU and area-type mismatch do not apply here. Thus, the troubleshooting guide for MTU between branches and reestablishment from misaligned MTU could be a resolution, but no direct reference is provided for the tunnel reestablishment issue, hence we might need additional reference. No direct steps for tunnel reestablishment from other provided documents.\", \"cited_artifacts\": [\"KB-00002\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00006", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the site-to-site VPN to branch that is dropping every 20-40 minutes due to MTU mismatch and area mismatch, ensure the MTU between the two routers is the same by checking with `show ip ospf neighbor detail` and `show ip ospf` for area flags. For area mismatch, ensure both routers agree on the stub/nssa flags in `show ip ospf` by checking `area <id> st`. For the peer session issue with the peer address not responding due to hold-timer mismatch, use `show ip ospf neighbors detail` and `show ip ospf neighbors` to ensure the hold time is within the keepalive time and to correct the hold-timer mismatch with `show ip ospf neighbors detail` to ensure 'BGP hold timer mismatch' and correct it with `neighbor <ip> timers <keepalive> <hold>`. No artifacts for the Phase 1 and Phase 2 algorithm or DPD issues as they are detailed in the IPSec troubleshooting for VPN tunnel flapping which is unrelated to this issue; no escalation is needed. Escalation tool not applicable.\", \"cited_artifacts\": [\"KB-00002\", \"KB-00001\", \"KB-00005\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00006", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the site-to-site VPN tunnel to the branch office that keeps dropping every 20-40 minutes, adjust the MTU consistency between the two peer interfaces by aligning their physical MTU and using `ip ospf mtu-ignore` on both interfaces (Step 2 from KB-00002). For the phase one parameter mismatch issue in the Phase 1 (IKE) and Phase 2 (IPSec) parameters which cause tunnel flapping, ensure both ends use identical parameters like encryption (AES-256), PRF (SHA-256), DH group (14 or 19), and lifetime (86400s), and adjust the DPD timers under high latency by setting `dpd 60 retry 5` (Step 2 & 3 from KB-00005). No direct resolution from the BGP peer session issue or API Gateway timeout issue is provided in the context. Escalation to expert or third-party support might be required for the reset interval issue and gateway timeout problem, respectively.\", \"cited_artifacts\": [\"KB-00002\", \"KB-00005\"], \"confidence\": 0.4, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00007", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the EXSTART state in EXCHANGE between dist-01 and dist-02 due to MTU mismatch between the two routers, use the command `ip ospf mtu-ignore` on both interfaces to align the physical MTU. For area mismatch, ensure both routers agree on the `area <id> st` flag in `show ip ospf area <id>` and both agree on the `st` (Stub) or `nssa` (Not-So-Stub) area types. No need for escalation as the context provides steps for MTU and area mismatch resolutions. No specific KB references are provided for area-type mismatch resolution as it does not have a direct link from the given context.\", \"cited_artifacts\": [\"KB-00002\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00007", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the EXSTART adjacency issue in an OSPF adjacency between dist-01 and dist-02 due to a mismatch in MTU between the interfaces, use the command `ip ospf mtu-ignore` on both interfaces to align their MTU. For area-type mismatch, ensure both routers agree on the stub/nssa flags in `area <id> st` by checking the area flags with `show ip ospf` and ensure the area mismatch is addressed. There's no need for an escalation as the provided context explains the common issue and its resolution for the EXSTART adjacency in detail.\", \"cited_artifacts\": [\"KB-00002\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00007", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the EXSTART state issue in OSPF adjacency between dist-01 and dist-02 due to an MTU mismatch, use the `ip ospf mtu-ignore` command on both router interfaces to align the MTU or make sure the physical MTU matches between the peers. For area mismatch between the routers, ensure both are in non-stub area by checking `show ip ospf area <id>` and setting area flags to `area <id> nssa` for non-stub. No need to escalate as the solutions are available in the provided context under KB-00002 - OSPF Neighbor Adjacency Failure Investigation.\", \"cited_artifacts\": [\"KB-00002\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00007", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the EXSTART state stuck between dist-01 and dist-02 in the OSPF adjacencies, the MTU mismatch is the most common issue. Use the command `ip ospf mtu-ignore` on both interfaces of the dist-01 and dist-02 to align their physical MTU (or their MTU interval with `ip ospf mtu-ignore`). The area-type mismatch can be addressed by ensuring both routers agree on the stub/nssa flags in `area <id> st`. No specific tickets or fixes from the provided contexts address authentication issues or CLI commands for area type mismatches directly, hence they are not cited. Escalation to the network administrator for manual troubleshooting of area type mismatch based on the area ID in `show ip ospf` output is advised. No further tickets from the provided contexts provide step-by-step fixes for authentication or area type mismatches. No escalation to the base network troubleshooting context:\", \"cited_artifacts\": [\"KB-00002\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00007", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the EXSTART state stuck in OSPF adjacencies between dist-01 and dist-02, align the MTU between the interfaces of the two routers and ensure they are in the same area (non-stub vs. stub or non-stub). Use the command `ip ospf mtu-ignore` on both interfaces of dist-01 and dist-02 if the MTU differs from full MTU to prevent EXSTART from getting stuck (Step 2 from KB-0002). To prevent the area mismatch from causing adjacency, ensure they are both on the non-stub area by checking `show ip ospf` for area flags and making sure both routers agree on the `area <id> st` flags (Step 3 from KB-0002). Escalation to network administrator or network documentation is recommended for detailed troubleshooting and configuration of authentication, but this context does not provide a direct solution to MD5 key mismatch or validation of configuration for authentication or area type. No escalations are required based on provided context.\", \"cited_artifacts\": [\"KB-0002\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00007", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the EXSTART state issue in the OSPF adjacencies between dist-01 and dist-02, the MTU mismatch is the primary cause. Use the command `ip ospf mtu-ignore` on both interfaces to align the physical MTU. If MTU is consistent but adjacencies remain in EXSTART, check if the area flags differ between the routers by running `show ip ospf` and ensuring both routers agree on the area flag (stub/nssa). No need for authentication issues as MD5 mismatch is not listed in the context. No need for steps for area-type mismatch or configuration check as it's not mentioned in the provided context. No need for escalation due to the direct MTU alignment solution available in the context.\", \"cited_artifacts\": [\"KB-00002\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00007", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the issue where OSPF adjacencies between dist-01 and dist-02 are stuck in EXSTART due to a mismatched MTU between the two interfaces, use the `ip ospf mtu-ignore` command on both interfaces to align the MTU. Ensure the subnet mask and hello/dead intervals match between the peers to prevent the EXSTART state. For area-type mismatch, ensure both routers agree on the stub/nssa flags in the `area <id> st` configuration in `show ip ospf`. No additional troubleshooting steps from the provided context can help resolve an area-type mismatch directly, thus further details need context or additional context not provided here. Escalation to network expert advice or a different KB might be required for precise area mismatch resolution.\", \"cited_artifacts\": [\"KB-00002\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00007", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the EXSTART adjacency issue between the dist-01 and dist-02 routers due to a mismatch in the MTU between the interfaces of both routers, the use of `ip ospf mtu-ignore` on both interfaces should resolve this state and align the MTUs between the peers to prevent the EXSTART adjacency state. For potential area-type mismatches, ensure both routers agree on the stub/nssa flags in the `area <id> st` command for area settings. No specific context or escalation is required from the provided retrieved contexts for authentication issues or router IDs as they do not relate to the EXSTART state issue with the MTU or area settings mentioned. No confidence level can be assigned as the context is specific to the MTU issue only.\", \"cited_artifacts\": [\"KB-00002\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00046", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"No direct runbook or solution for the BeyondCorp zero-trust access request for a new OT network segment using legacy protocols like Modbus and DNP3 exists in the provided context. There are no cited artifacts that align with the request for integrating an OT network with the BeyondCorp zero-trust access framework that are listed in the retrieved contexts. Escalation is required to find suitable runbooks or alternative solutions that could support such an integration for BeyondCorp zero-trust access with the given OT devices’ communication protocols using the BeyondCorp agent. No solution or runbooks can be recommended based on the available information.\", \"cited_artifacts\": [], \"confidence\": 0.0, \"escalate\": true}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00046", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"There is no direct runbook or step-by-step approach in the retrieved context to onboard a OT network segment with legacy protocols (Modbus, DNP3) for BeyondCorp zero-trust access. No runbook or remediation steps were provided for the specific requirement of integrating an OT network with BeyondCorp’s framework. Escalation to expert or BeyondCorp’s official guide is recommended for this issue.\", \"cited_artifacts\": [], \"confidence\": 0.0, \"escalate\": true}}\n```", "parsed": true, "r_parsimony": 0.5, "step": 150}
|
||
{"ticket_id": "TRAIN-00046", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For onboarding the manufacturing OT network segment to the BeyondCorp zero-trust access framework with legacy protocols (Modbus, DNP3) that are not compatible with the BeyondCorp agent, there is no direct runbook or solution from the provided context. No specific runbooks or runbooks from the given context can be used for this problem. Escalation to the BeyondCorp support or BeyondCorp documentation or BeyondCorp OT agent onboarding documentation for guidance on legacy protocol support is advised. No direct entry from the context can be used to resolve this ticket.\", \"cited_artifacts\": [], \"confidence\": 0.0, \"escalate\": true}}\n```", "parsed": true, "r_parsimony": 0.5, "step": 150}
|
||
{"ticket_id": "TRAIN-00046", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the BeyondCorp zero-trust access request for the manufacturing OT network segment with legacy protocols (Modbus, DNP3) that are not compatible with the BeyondCorp agent, there is no direct runbook or information available in the provided contexts that specifically addresses the integration of an OT network segment with BeyondCorp zero-trust access. The contexts available relate to DHCP scope exhaustion, DNS resolution, and TLS certificate renewal which do not apply to the OT network issue. Escalation to the BeyondCorp support or an OT runbook for BeyondCorp integration is required for this specific integration.\", \"cited_artifacts\": [], \"confidence\": 0.0, \"escalate\": true}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00046", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the BeyondCorp zero-trust access request for a new OT network segment with legacy protocols that are not compatible with the BeyondCorp agent, there is no specific runbook or solution provided in the retrieved contexts that match the exact problem. However, the provided KB-00014 on TLS Certificate Renewal for Internal Services might suggest an approach to manage TLS certificate updates for certain services, but it doesn’t address the OT network segment onboardment issue in the context of a zero-trust access request. Escalation to BeyondCorp support or documentation is required for a runbook on this specific use case.\", \"cited_artifacts\": [], \"confidence\": 0.0, \"escalate\": true}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00046", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the BeyondCorp zero-trust access request for a new OT network segment, there is no specific runbook or relevant information in the provided context that addresses the integration of OT devices using legacy protocols like Modbus and DNP3 into a BeyondCorp zero-trust access framework. No runbooks or clear guidance are found to bridge this integration or to secure OT devices with BeyondCorp. Escalation to BeyondCorp support or a BeyondCorp-specific runbook is advised.\", \"cited_artifacts\": [], \"confidence\": 0.0, \"escalate\": true}}\n```", "parsed": true, "r_parsimony": 0.5, "step": 150}
|
||
{"ticket_id": "TRAIN-00046", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the BeyondCorp zero-trust access request for a new OT network segment using legacy protocols like Modbus and DNP3 that are not compatible with the BeyondCorp agent, there is no runbook or direct approach from the provided retrieved context. No specific runbook or steps can be extracted from the provided information for OT network integration into BeyondCorp. Escalation to BeyondCorp support or an OT-specific runbook for integration with BeyondCorp should be sought for this request.\", \"cited_artifacts\": [], \"confidence\": 0.0, \"escalate\": true}}\n```", "parsed": true, "r_parsimony": 0.5, "step": 150}
|
||
{"ticket_id": "TRAIN-00046", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the BeyondCorp zero-trust access request for a new OT network segment, there is no direct runbook or similar documentation available in the provided context that directly addresses the integration of OT devices with BeyondCorp zero-trust access or handling of legacy protocols with the BeyondCorp agent. We would need an official BeyondCorp agent runbook or a specific integration guide from their support materials. As there is no direct or indirect reference in the given context, this ticket cannot be resolved with the provided information.\", \"cited_artifacts\": [], \"confidence\": 0.0, \"escalate\": true}}\n```", "parsed": true, "r_parsimony": 0.5, "step": 150}
|
||
{"ticket_id": "TRAIN-00034", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the SSO broken for multiple apps issue with SCIM provisioning not working and API token expiry, follow these steps: For the API token rotation, refer to the 'API Token Rotation and Revocation' from KB-00013, where a zero-downtime rotation pattern with a brief window for tokens ensures no downtime by first generating a new token, then updating consumers one by one or via rolling deployment, and finally re-approving the new token status. For the Okta SCIM provisioning sync issue, refer to the 'Okta SCIM 2.0 Provisioning Setup and Troubleshooting' from KB-00009 for configuration, attribute mapping setup (pushing new users, profile updates, and groups) with attribute mappings and errors. For the API token expiry, refer to the 'API Token Rotation and Revocation' and ensure tokens are rotated with zero downtime. Escalation to a support expert or detailed escalation ticket is recommended if the issues are not resolved from the provided KB articles.\", \"cited_artifacts\": [\"KB-00013\", \"KB-00009\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00034", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the SSO broken for multiple apps (Confluence and JIRA redirect loop, Okta SCIM provisioning failure, and API token expiry in the identity health dashboard) issues, update all consumers of the API token for Confluence and JIRA to rotate tokens with zero downtime following the API token rotation and revalidation from KB-00013: Generate a NEW token while the OLD token is still valid, update all consumers of the token one by one or via rolling deployment, and verify all consumers are using the new token. For Okta SCIM provisioning failure, configure the Okta admin app with the provided attributes for the target application using the steps from KB-00009: Enable SCIM provisioning, set the base URL, generate a Bearer token in the target app, and test the connector with a GET /scim/v2/Users request to ensure the status is 200 for it to be working. The API token expiry can be fixed by changing the PAT expiration to 90 days and setting up rotation reminders at -14 days in the settings for personal access tokens as per KB-00013 and securing the credentials in a vault like HashiCorp Vault with the CyberArk vault for password rotation as per KB-00012. No escalation needed as the ticket can be resolved using these resources.\", \"cited_artifacts\": [\"KB-00013\", \"KB-00009\"], \"confidence\": 0.4, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00034", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For SSO broken for Confluence and JIRA redirect loops, the Okta SCIM provisioning issue causing silent failures with 404 on /scim/v2/Users and the API token expiry for the identity health dashboard with a 401, the key is to configure Okta SCIM 2.0 provisioning correctly and manage API token rotation for the identity health dashboard. For Confluence and JIRA redirect loops, the setup (new integration) for Okta SCIM provisioning should be done as follows: Enable SCIM provisioning in Okta Admin under Applications > App > Provisioning and ensure the authentication method is set to HTTP header with an appropriate Bearer token. Attribute mapping includes mapping required attributes such as userName for email, givenName for first name, and familyName for last name. For API token expiry issues, rotate the API token for the identity health dashboard with zero downtime using API token rotation and revocation: generate a new token, update all consumers one by one or via rolling deployment, verify all consumers are using the new token, and revoke the old token with POST and DELETE APIs to Vault, respectively. Escalation to identity health dashboard monitoring API token expiry and Confluence/JIRA redirect loops does not require additional steps from provided context. No escalation to context-based tools is needed.\", \"cited_artifacts\": [\"KB-00009\", \"KB-00010\", \"KB-00013\"], \"confidence\": 0.5, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00034", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the SSO broken issue with JIRA and Confluence redirect loop and Okta SCIM provisioning sync failures, the API token rotation and revalidation procedure from KB-00013 can be used for API tokens: rotate and revoke tokens with zero downtime. For Okta SCIM provisioning, set up a new integration in Okta with the steps provided in KB-00009: Enable SCIM provisioning and attribute mapping as needed. For API token expiry in the identity health dashboard, refer to the API token rotation and revocation in KB-00013 for API tokens. There is no specific context for the JIRA redirect loop issue, so it might require another ticket or configuration which is not here. Escalation to more comprehensive knowledge sources is advised.\", \"cited_artifacts\": [\"KB-00013\", \"KB-00009\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00034", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the issue with SSO broken for multiple apps (Confluence and JIRA redirect loop issues), API token expiry in identity health dashboard 401, and Okta SCIM provisioning failure, the Okta SCIM 2.0 provisioning setup and troubleshooting (KB-00009) should be used for attribute mapping configuration and 401 error. For the API token rotation and revalidation (KB-00013), rotate the API tokens for the identity health dashboard and revocation as per the steps to zero-downtime rotation. For the JIRA and Confluence redirect loop, no specific guidance from the provided context is available and an error state should be escalated. Escalation to JIRA or Confluence support resources or Okta support may be needed for handling the redirect loop issue. No direct reference from the context for Jenkins API tokens and REST API tokens for rotation.\", \"cited_artifacts\": [\"KB-00009\", \"KB-00013\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00034", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the SSO broken issue with Confluence and JIRA redirect loops, the API token issues for the identity health dashboard, and Okta SCIM provisioning failures, the Okta SCIM provisioning setup and troubleshooting (KB-00009) and API token rotation and revocation (KB-00013) should be prioritized. For the Okta SCIM issue, ensure SCIM connector base URL is correctly set up (e.g., 'https://<your-app>/scim/v2/') with the right Bearer token (ensure it is not expired by regenerating it in the target app and pasting it into Okta). For the API token problems, use the zero-downtime rotation pattern from KB-00013 to revoke and rotate the API token in the specified way. No direct information on Confluence JIRA issues can be extracted from the context provided, hence escalation to Okta SCIM and API token issues are the actionable steps.\", \"cited_artifacts\": [\"KB-00009\", \"KB-00013\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00034", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the SSO issues involving Confluence, JIRA, Okta SCIM provisioning, and API token expiry, the following steps should be taken: For the Confluence redirect loop issue, refer to the SAML 2.0 SSO Configuration — IdP and SP Setup from KB-00010 to ensure the SP entity ID matches the IdP audience (Audience) and correct assertion attribute mismatch. For Okta SCIM provisioning failures, refer to the Okta SCIM 2.0 Provisioning Setup and Troubleshooting from KB-00009, ensuring attribute mapping as required and troubleshooting by checking for Bearer token expiration (401) and SCIM endpoint status (404). For the API token rotation, refer to API Token Rotation and Revocation from KB-00013, setting an expiry limit at 90 days and using zero-downtime rotation. Escalation is not required as the problems are covered under the provided KBs.\", \"cited_artifacts\": [\"KB-00010\", \"KB-00009\", \"KB-00013\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00034", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the SSO broken for multiple apps issue where SCIM provisioning is not working and API token expiry are causing problems, refer to KB-00009 for Okta SCIM provisioning setup and attribute mapping (required SCIM attributes: userName (email), givenName, familyName. Optional but common: phoneNumbers[0].value, title, department). For API token expiry and rotation issue, refer to KB-00013 for API token rotation and revalidation with zero-downtime rotation pattern and ensure the GitHub Personal Access Token (PAT) settings (max 90 days expiry) and generic REST API token rotation in Vault with zero downtime rotation steps are followed. No specific direct advice on API token expiry and TLS certificate renewal issues are provided, hence it might escalate to manual configuration and escalation to IT support or specific platform documentation for TLS renewal.\", \"cited_artifacts\": [\"KB-00009\", \"KB-00013\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00001", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the BGP peer session issue where CORE-02 has a peer 10.0.0.1 in Active state with a hold-timer mismatch, the solution is to correct the hold-timer mismatch with `neighbor <ip> timers <keepalive> <hold>` or clear ACL blocking TCP/179. Use `show ip ospf neighbor detail` to identify the stuck state, which should be INIT for a mismatch. For configuring AS numbers and MD5 passwords, ensure `neighbor <ip> remote-as <AS>` matches the peer’s local AS and use `show ip ospf neighbors detail` to ensure `hold time` and `keepalive interval` are not misconfigured. Check for configuration mismatches with `neighbor <ip> timers <keepalive> <hold>` for the hold-timer and use `show ip ospf neighbors detail` for `keepalive` and `hold` intervals. Escalation to a network expert or reference KB-00001 for details on BGP peer session down troubleshooting and KB-00002 for MTU mismatch and area mismatch issues with OSPF adjacencies are recommended if issues persist.\", \"cited_artifacts\": [\"KB-00001\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00001", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the BGP peer 10.0.0.1 being in Active state with no session establishing, the hold-timer mismatch must be addressed with the `neighbor <ip> timers <keepalive> <hold>` command on CORE-02 router, ensuring the hold timer value matches the peer's hold timer value. Use `show ip ospf neighbor detail` to check the adjacency state and `show ip ospf neighbor detail` again for verification of area type mismatch, ensuring both routers agree on the stub/nssa area flags. For configuration mismatch, ensure `neighbor <ip> remote-as <AS>` equals the peer's local AS number and MD5 password synchronization across peers by using `neighbor <ip> timers hold` and correcting the hold-timer mismatch. For IP MTU inconsistency, align physical MTU to the DBD packets' MTU with `ip ospf mtu-ignore` on both CORE-02 and peer interfaces; ensure they match. Escalation to the 'BGP Peer Session Down — Troubleshooting Guide' from KB-00001 is not required as the solutions are provided in steps aligned with the symptoms.\", \"cited_artifacts\": [\"KB-00001\"], \"confidence\": 0.4, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00001", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the issue with BGP peer 10.0.0.1 in Active state and session not establishing, correct the hold-timer mismatch with the `neighbor <ip> timers <keepalive> <hold>` command on the router CORE-02 and ensure the `hold time` interval matches the peer's hold time interval in `show ip ospf neighbor detail`. Use `debug ip ospf adj` to check for area flags mismatch and ensure both routers agree on the stub/nssa area flags in `show ip ospf area`. For BGP configuration mismatch, ensure the peer's local AS (neighbor <ip> remote-as <AS>) matches the peer's local AS and that the MD5 passwords are the same on both peers. For TCP/179 reachability issues, use `ping vrf MGMT <peer-ip> source <local-ip>` to ensure there are no ACLs blocking the TCP/179 communication from the router CORE-02 to the peer. No specific steps from the provided contexts for OS error or DNS issues.\", \"cited_artifacts\": [\"KB-00001\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00001", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the BGP peer 10.0.0.1 in Active state issue on CORE-02, use `show ip ospf neighbor detail` to identify if the peer is in INIT state, not receiving hellos or not including the local router-id in its hello. For MTU mismatch issue, ensure MTU between CORE-02 and 10.0.0.1 are aligned by verifying both routers’ MTU settings using `show ip ospf neighbors detail` and ensuring both routers have matching hello/dead intervals and physical MTU match. For the hold-timer mismatch with BGP peer sessions, adjust `neighbor <ip> timers keepalive <hold>` on CORE-02 to ensure the hold timer matches peer's hold time and use `clear ip ospf hello` to clear any blocking ACLs on both peers on TCP/179. No need to escalate to any other guides as the solutions are provided in the retrieved context under KB-00001 and KB-00001 only. No extra steps are mentioned from the other resources for this issue.\", \"cited_artifacts\": [\"KB-00001\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00001", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the issue with the CORE-02 router BGP peer 10.0.0.1 being in the Active state with no session establishment, use `show ip ospf neighbor detail` on CORE-02 to identify if it's in the INIT state with the remote router not receiving hellos from CORE-02. Check for MTU consistency by using `show ip ospf neighbor detail` and ensuring the subnets are on the same network with `show ip ospf mtu-ignore` if needed. For configuration mismatch with BGP peers, `show ip ospf neighbor detail` should show BGP state = Active and check for hold-timer mismatch with `show ip ospf neighbor detail` and use `neighbor <ip> timers <keepalive> <hold>` to match hold-timer settings to the peer’s hold timer. No need to escalate to the other tickets as the context directly provides a resolution for the BGP peer issues with hold timer mismatch. No specific steps from the other contexts apply to this issue.\", \"cited_artifacts\": [\"KB-00001\"], \"confidence\": 0.4, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00001", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the BGP peer session down issue on CORE-02 to peer 10.0.0.1 in the Active state, we need to look at the hold-timer mismatch and configuration mismatch. Use the command `show ip ospf neighbor detail` to see if it is stuck in INIT state by checking `show ip ospf neighbor detail` and ensuring the hello and dead intervals match the subnet mask on both interfaces. For configuration mismatch, ensure that the local AS of CORE-02 matches with peer 10.0.0.1 AS65100 using `neighbor <ip> remote-as <AS>`. For configuration mismatch, check `show ip ospf neighbor detail` to ensure area flags are consistent between peers and the area is either st or nssa. No specific solutions from the provided contexts refer to the MTU issue or authentication issues which are part of other resolutions. Escalation to other contexts would be required for MTU mismatch and authentication fixes which are found in contexts related to other issues.\", \"cited_artifacts\": [\"KB-00001\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00001", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the BGP peer 10.0.0.1 in Active state issue, you need to ensure the hold-timer mismatch by running `show ip ospf neighbor detail` to check for 'INIT' state with hello/dead interval mismatch or 'EXSTART/EXCHANGE' with MTU mismatch (if applicable). For hold-timer mismatch, use `show ip ospf neighbors detail` to check for 'Idle' state and use `show ip ospf neighbors detail` to ensure the hold time is set correctly by `neighbor <ip> timers hold`. Check for configuration mismatch for AS numbers by running `show ip ospf neighbors detail` and ensure `neighbor <ip> remote-as <AS>` match the peer’s local AS. For TCP connectivity issues, use `ping vrf MGMT <peer-ip> source <local-ip>` to ensure there are no ACLs blocking TCP/179. No clear escalations are given in the provided contexts, so no specific reference to any KB ID is provided.\", \"cited_artifacts\": [\"KB-00001\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00001", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the BGP peer session down issue on router CORE-02 towards peer 10.0.0.1 in the Active state with a hold-timer mismatch, the most appropriate steps are to check the hold-timer mismatch with the `neighbor <ip> timers <keepalive> <hold>` command or clear ACL blocking TCP/179. Also, ensure the peer's configuration matches the local AS number by confirming `neighbor <ip> remote-as <AS>` matches the peer's local AS number. For configuration mismatch issues (1 out of 3 reasons as per KB-00001), clear the ACL blocking TCP/179 with `clear ip bgp neighbors detail <peer-ip>` and check hold-timer mismatch with `neighbor <ip> timers <keepalive> <hold>` or clear the ACL blocking TCP/179 with `clear ip bgp neighbors detail <peer-ip>`. No need for escalatory steps from the provided contexts as no direct reference is given for peer AS number mismatch or hold-timer mismatch other than the BGP section of KB-00001 which are relevant for the given issue.\", \"cited_artifacts\": [\"KB-00001\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00015", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the analytics-service OOM crashing with large byte[] or char[] arrays under ModelCacheManager and heap exhaustion in Guava Cache/Caffeine without a maximumSize configured (KB-00015), you need to set the maximumSize in Guava Cache/Caffeine to avoid Guava Cache or Caffeine from bloat (maximumSize in Guava Cache/Caffeine). For the heap exhaustion due to large byte[] arrays, look at the ModelCacheManager and ensure there is no overloading it with too many entries. For the heap dump, enable heap dump on OOM with JVM flags `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError` and capture the heap dump on running process with `jmap -dump:format=b,file=/tmp/heap_$(date +%s).hprof <pid>` with `Eclipse MAT` for analysis. No issue details from the given contexts for K8s crashLoopBackOff. Escalation to K8s issues or connection pool exhaustion cannot be done with the provided context.\", \"cited_artifacts\": [\"KB-00015\"], \"confidence\": 0.4, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00015", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the analytics-service OOM crash, an unbounded Guava Cache or Caffeine cache (both mentioned in the heap dump analysis for OOM crash causes) without a `maximumSize` configuration will lead to heap exhaustion. Increase the maximum size limit of the cache in Guava Cache or configure a maximumSize for the Caffeine cache to prevent heap bloat. Add these JVM flags to the analytics service to enable heap dump on OOM: `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError`. For the ModelCacheManager under ModelCacheManager, it points to an out of memory error with large byte arrays, which points to Guava Cache or Caffeine cache issues. Ensure to capture heap dump on running process using `jmap -dump:format=b,file=/tmp/heap_$(date +%s).hprof <pid>` and analyze using Eclipse MAT to see the largest retained heap. No information is provided to address the connection pool exhaustion or Kubernetes CrashLoopBackOff issues. Escalation to another expert or update with specific details for these is needed.\", \"cited_artifacts\": [\"KB-00015\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00015", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the analytics-service OOM crashing with large byte[] or char[] arrays under ModelCacheManager due to heap exhaustion (java.lang.OutOfMemoryError: Java heap space) and Guava Cache not having a maximumSize configured, enable automatic heap dump on OOM with the JVM flags `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError` and capture the heap dump with `jmap -dump:format=b,file=/tmp/heap_$(date +%s).hprof <pid>` to analyze with Eclipse MAT to look for the largest retained heap. For the heap dump, use Step 1 of KB-00015 for heap dump analysis and Step 2 for JVM heap overflow. For the ModelCacheManager related to Guava Cache or Caffeine, add `maximumSize` in the configuration to prevent heap bloat. No other steps are directly applicable from the given context.\", \"cited_artifacts\": [\"KB-00015\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00015", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the analytics-service crashing with OOMKilled due to large byte[] arrays in the ModelCacheManager, Guava Cache or Caffeine not having a `maximumSize` configured causes heap bloat. Use `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError` to enable automatic heap dumps and force a clean restart. Run `jmap -dump:format=b,file=/tmp/heap_$(date +%s).hprof <pid>` to capture the heap dump and use Eclipse MAT to analyze it for large byte[] or char[] arrays in the dominator tree indicating cache bloat. No mention of connection pool exhaustion or Kubernetes crash issues in the provided context, so these are not applicable. Use `add` for Guava or Caffeine in the ModelCacheManager with a `maximumSize` to prevent cache bloat. For recent model pre-loading and session objects, ensure there are no unbounded caches under ModelCacheManager. No other context is provided for the connection pool issue or Kubernetes crash, thus escalate=true would apply, but it does not provide details to resolve.\", \"cited_artifacts\": [\"KB-00015\"], \"confidence\": 0.5, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00015", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the analytics-service intermittently OOM crashing every 4-6 hours due to large byte[] arrays under the ModelCacheManager, use the KB-00015: JVM Out of Memory Error — Heap Dump Analysis for heap dump settings: `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError` and analyze with Eclipse MAT for the Problem Suspect with the largest retained heap. For the ModelCacheManager bloat, consider limiting the maximum size in Guava Cache or Caffeine using `maximumSize` or increase the heap size using the `-Xmx` option in the JVM startup command (e.g., `-Xmx1024m` for 1GB heap). No specific solution can be derived from the provided contexts for connection pool exhaustion or crashloop backoff from Kubernetes. Escalation to other contexts or solutions would be required for these issues.\", \"cited_artifacts\": [\"KB-00015\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00015", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the analytics-service OOM issue with large byte[] or char[] arrays under ModelCacheManager causing heap exhaustion (java.lang.OutOfMemoryError: Java heap space), add the JVM flags -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError to the command line to enable heap dump on OOM and ensure a clean restart with the `-XX:+HeapDumpOnOutOfMemoryError` and `-XX:HeapDumpPath=/tmp/heap_$(date +%s).hprof` options for capturing the heap dump (using jmap -dump:format=b,file=/tmp/heap_$(date +%s).hprof <pid>). Use the Eclipse Memory Analyzer Tool (MAT) to analyze the heap dump and look for the 'Problem Suspect' with the largest retained heap and drill into the dominator tree for string interning or cache bloat. There is no direct context for preventing the ModelCacheManager arrays from growing unchecked in Guava Cache or Caffeine; consider adding `maximumSize` to the cache configurations to prevent unbounded cache. For any other issue, escalate to support from analytics-service specific documentation or community forums.\", \"cited_artifacts\": [\"KB-00015\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00015", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the analytics-service OOM crashing every few hours with large byte[] or char[] arrays under ModelCacheManager indicating Guava Cache or Caffeine without `maximumSize` configured and large byte[] arrays, add JVM heap dump settings `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError` to the analytics-service startup configuration to enable heap dump on OOM and avoid it freezing the JVM for the duration. Use `jmap -dump:format=b,file=/tmp/heap_$(date +%s).hprof <pid>` to capture the heap dump and use Eclipse MAT to analyze it for the largest retained heap and look for problem suspects in the dominator tree. Ensure the Guava Cache or Caffeine maximumSize is set appropriately to manage cache bloat. For ModelCacheManager, no direct context on memory pools exhaustion or database connections pool issues is provided, so we focus on Guava Cache/Caffeine configuration and heap dump analysis. No escalation to other tickets is required as the context provided offers solutions for the heap dump analysis and Guava/Caffeine maximumSize management.\", \"cited_artifacts\": [\"KB-00015\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00015", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"The analytics-service OOM crashes every 4-6 hours due to Guava Cache or Caffeine unbounded cache, which leads to heap exhaustion. To solve this, add Guava Cache or Caffeine configuration with a maximumSize. For Guava Cache, use `guava.cache.maximumSize` to limit the cache size and for Caffeine, use `c.caffeine.cache.maximumSize`. The heap dump causes OOM are analyzed in KB-00015, adding `-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/var/log/heapdumps/ -XX:+ExitOnOutOfMemoryError` to the JVM options to dump heap and use Eclipse MAT to analyze it. No specific steps are provided for the connection pool exhaustion as it’s mentioned in another context, thus can’t be resolved solely from the given information. No steps for Kubernetes crash loop are needed here as it’s not related to the given OOM crashes.\", \"cited_artifacts\": [\"KB-00015\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00027", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the issue where the svc-deploy-prod account is causing CI/CD failures due to locked accounts during rotation, follow the Service Account Password Rotation Procedure from KB-00012 to atomically rotate the password in CyberArk / HashiCorp Vault before changing in AD, using the new password with `Set-ADAccountPassword -Identity <svc-account> -NewPassword (ConvertTo-SecureString '<new-password>' -AsPlainText -Force) -Reset` and updating dependent services in the order mentioned. In Jenkins API token rotation and revocation from KB-00013, generate a NEW token while the OLD token is still valid and ensure all consumers are using the new token by one by one or via rolling deployment and verify with Jenkinsfile credentials binding before removing old token. For Jenkins API token failures, follow API token rotation and revocation from KB-00013 ensuring to manage tokens and rotations properly and setting an expiry and rotation reminders. No direct steps are available from the given context to solve the CI/CD pipeline failure at 11:00 or the K8s pod issue but these steps are close to solving the account locking issue and providing a generic solution for token issues. Escalation to a ticket-specific solution is not advised based on the available context.\", \"cited_artifacts\": [\"KB-00012\", \"KB-00013\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00027", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the svc-deploy-prod account locked issue, follow the Service Account Password Rotation Procedure from KB-00012: Step 1 — Impact assessment: Use `Get-ADUser <svc-account> -Properties ServicePrincipalNames,Description` to identify all dependent services and search for them in config files with `grep -r '<service-account-name>' /etc/`. Step 2 — Update in PAM vault first: Update the new password in CyberArk / HashiCorp Vault before changing in AD with `Set-ADAccountPassword -Identity <svc-account> -NewPassword (ConvertTo-SecureString '<new-password>' -AsPlainText -Force) -Reset`. Step 3 — Rotate in AD: Change the account password in AD with `Set-ADAccountPassword -Identity <svc-account> -NewPassword (ConvertTo-SecureString '<new-password>' -AsPlainText -Force) -Reset`. Step 4 — Update dependent services: For Windows services, use `sc config <service> password= <new-password>` and restart the service. For IIS Application Pools, go to IIS Manager > App Pools > Advanced Settings > Identity and set the Application Pool Identity to the new password. For Scheduled tasks, modify the task properties under `sc config <service> password= <new-password>` and restart the task. Escalation to any other steps or additional steps are not provided in the context.\", \"cited_artifacts\": [\"KB-00012\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00027", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the issue with the svc-k8s-deploy account being locked during rotation causing CI/CD failures, you need to follow the Service Account Password Rotation Procedure from KB-00012 for the svc-account lock issue. Ensure to update the new password in CyberArk or HashiCorp Vault before changing it in AD with the command `Set-ADAccountPassword -Identity <svc-account> -NewPassword (ConvertTo-SecureString '<new-password>' -AsPlainText -Force) -Reset` in Step 2, and rotate it in AD with `Set-ADAccountPassword -Identity <svc-account> -NewPassword (ConvertTo-SecureString '<new-password>' -AsPlainText -Force) -Reset`. For Step 4, you need to update dependent services in the order: restart Windows services with `sc config <service> password= <new-password>` and restart the service, set the IIS App Pool identity to the new password in `IIS Manager > App Pools > Advanced Settings > Identity`, and update Scheduled tasks with `sc config <service> password= <new-password>` for the service. Do not attempt to rotate the token in the Jenkins API token since it's not relevant to the password rotation procedure. Escalation is not required as the mentioned steps are specific to password rotation in AD and not Jenkins API tokens.\", \"cited_artifacts\": [\"KB-00012\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00027", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the service account svc-k8s-deploy locked due to coordination issues with the CI/CD pipeline for Kubernetes, follow the steps provided under the Service Account Password Rotation Procedure (KB-00012) which details on rotating the account’s password every 90 days. Before rotating, identify all dependent services with the command `Get-ADUser <svc-account> -Properties ServicePrincipalNames,Description`. Update the new password in CyberArk / HashiCorp Vault BEFORE changing in AD using `Set-ADAccountPassword -Identity <svc-account> -NewPassword (ConvertTo-SecureString '<new-password>' -AsPlainText -Force) -Reset`. For IIS Application Pools, update the service identity in the IIS Manager and for Scheduled tasks, update the password in the Windows services console and restart the service. Ensure the password rotation in AD is done atomically and sequentially with the PAM vault updates. No escalation needed as the procedures are provided. Escalation to expert support is advised if no specific error from the above steps or context is found.\", \"cited_artifacts\": [\"KB-00012\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00027", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"The service account svc-k8s-deploy lockup is due to the uncoordinated rotation of its password causing dependency issues. Follow the provided steps: Use CyberArk / HashiCorp Vault to update the new password in the vault before rotating in AD with the command `Set-ADAccountPassword -Identity <svc-account> -NewPassword (ConvertTo-SecureString '<new-password>' -AsPlainText -Force) -Reset` and ensure that the new password is updated in CyberArk / HashiCorp Vault atomically with `vault kv put secret/svc/<service>/api-token value=<new-password>` for service account rotation. For the password update in AD, use `Set-ADAccountPassword -Identity <svc-account> -NewPassword (ConvertTo-SecureString '<new-password>' -AsPlainText -Force) -Reset`. Update dependent services in the listed order: Windows services with `sc config <service> password= <new-password>` and restart service, IIS Application Pools with Advanced Settings > Identity in IIS Manager, and Scheduled tasks with the corresponding restarts. Jenkins API tokens should be managed with a one-day window while updating in the Jenkinsfile for zero-downtime rotations, and OAuth tokens with proper permissions in Vault and role mappings for a secure and seamless API token rotation with the command `vault kv put secret/svc/<service>/api-token value=<token>` for API token management with OAuth. Escalation is not required for this context.\", \"cited_artifacts\": [\"KB-00012\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00027", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the issue with the svc-k8s-deploy service account account lockup after rotation, the escalation to AD locking out due to a service account password rotation procedure is not directly applicable from the retrieved context. However, based on the API token rotation and revocation details in KB-00013, Jenkins API tokens and REST API tokens need to be managed and rotated securely to avoid issues like 'Invalid credentials' in Jenkins. In the context of Kubernetes and password rotations, no direct steps are available to resolve the account lockup. The password rotation needs to be done with cybersecurity tools (like CyberArk Vault) to ensure atomic updates and steps for dependent services are not provided in the retrieved context. Escalation to such tools is recommended for detailed steps on security and dependency management.\", \"cited_artifacts\": [], \"confidence\": 0.0, \"escalate\": true}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00027", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the svc-k8s-deploy account locked issue in the deployment pipeline, we need to follow a procedure that ensures coordinated password rotation without affecting dependent services. Step 1 of the Service Account Password Rotation Procedure for K8s can be applied here. Update the new password in CyberArk / HashiCorp Vault first with `vault kv put secret/svc/<service>/api-token value=<new-password>`. Before rotating the password, identify all dependent services with `Get-ADUser <svc-account> -Properties ServicePrincipalNames,Description`. Check the Description for a list of dependent services and also search config files with `grep -r '<service-account-name>' /etc/`. Rotate the password in CyberArk with `vault kv put secret/svc/<service>/api-token value=<new-password>` and ensure the account change in CyberArk is atomic. For Jenkins API tokens and setting up a zero-downtime rotation with a brief window for a new token being valid and then updating all consumers to the new token with the provided steps for API token rotation, follow KB-00013. Do not escalate as the ticket can be resolved within the given resources and steps provided.\", \"cited_artifacts\": [\"KB-00012\", \"KB-00013\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00027", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the svc-k8s-deploy account being locked causing CI/CD failures, refer to the Service Account Password Rotation Procedure in KB-00012 for the proper rotation procedure: Before rotating, identify all dependencies using `Get-ADUser <svc-account> -Properties ServicePrincipalNames,Description` in PowerShell to check if there are any dependent services by the svc-account. Then, update the new password in CyberArk or HashiCorp Vault before changing in AD using `Set-ADAccountPassword -Identity <svc-account> -NewPassword (ConvertTo-SecureString '<new-password>' -AsPlainText -Force) -Reset` to ensure downstream services can retrieve it atomically. Rotate in AD with `Set-ADAccountPassword -Identity <svc-account> -NewPassword (ConvertTo-SecureString '<new-password>' -AsPlainText -Force) -Reset` and then update dependent services (Windows services with `sc config <service> password=<new-password>` and restart service, IIS Application Pools with `sc config <service> password=<new-password>` and restart IIS App Pool, Scheduled tasks with `sc config <service> password=<new-password>` and restart service) sequentially in order. No escalation required as the tickets provide the required steps.\", \"cited_artifacts\": [\"KB-00012\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00013", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the CrashLoopBackOff in the notification-service v1.5.2 deployment, the 'OOMKilled' due to a 'resources.limits.memory' set too low can be addressed by increasing the memory limit. Use `kubectl describe pod <pod>` to check if there's an 'Error' or 'CreateContainerConfigError' that points to a Config error. For the 'Missing secret' issue, ensure the secret is present in the namespace with `kubectl get secret <name>` and check the ConfigMap with `kubectl get cm <name> -o yaml`. Escalation to a rollback procedure is not required here as the Kubernetes CrashLoopBackOff can be directly addressed with resource limits and ensuring the secret’s existence. No specific rollback procedures from the provided context apply to this scenario.\", \"cited_artifacts\": [\"KB-00017\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00013", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the CrashLoopBackOff in the notification-service pods after a deployment, we should check the memory limit of the container for memory leaks (OOMKilled) by increasing the resources.limits.memory or fixing the memory leak. We will need to check if the secret is missing by running `kubectl get secret <name>` to see if the secret exists in the namespace and if there's a bad YAML in the ConfigMap that could be causing the error with `kubectl get cm <name> -o yaml`. For the Restart issue, there's no direct context available for this and we can escalate to KB-00013 for more help on CrashLoopBackOff, or we can escalate the ticket for specific advice on restarting pods. Escalation to application rollback is advised to rollback the bad deployment with `helm rollback <release-name> 0` for fast roll back. For diagnostics on application services and API token rotations, refer to the provided contexts for crash issues and token management respectively but there’s no direct context for API token rotations for this issue.\", \"cited_artifacts\": [\"KB-00017\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00013", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the CrashLoopBackOff issue in the notification-service v1.5.2 deployment, the OOMKilled error is a common root cause due to the `resources.limits.memory` being too low. Increase the memory limit using `kubectl edit deployment <deployment-name>` and increase the `resources.limits.memory` to '256Mi' and ensure that the memory is manageable. For the memory leak, use the `kubectl describe pod <pod>` to check for the 'oomkilled' event which might indicate a leak in the application code. No need for rollback or Okta integration setup as the context is specific to memory limits and does not include rollback procedures or Okta issues. Escalation is not required as all the information is related to memory limit and memory leak issue.\", \"cited_artifacts\": [\"KB-00017\"], \"confidence\": 0.4, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00013", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the CrashLoopBackOff issue in the notification-service v1.5.2 deployment, we need to diagnose by looking at the current run logs which are empty due to the short duration of the crash. We can use the kubectl logs <pod> --previous command to get logs from the previous run which can help us diagnose memory issues with the resource.limits.memory setting. We will check if the limit is too low by using the 'resources.limits.memory' which is 2GB by default. For non-zero exit and error codes, we can look at the 'Error' messages in the Events section of the kubectl describe pod <pod> command to see if it mentions 'OOMKilled' which suggests a memory limit too low. No need for rollback procedures or escalations as the provided context does not directly apply to a rollback scenario or to Okta SCIM provisioning setup which is mentioned but unrelated to the Kubernetes issue. Ensure the secret reference and configMap are also correct using kubectl describe secret <secret> and kubectl describe configmap <configmap> respectively. Ensure the YAML is not misconfigured and the Liveness probe settings are appropriate without aggressive timeouts to avoid triggering CrashLoopBackOff.\", \"cited_artifacts\": [\"KB-00017\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00013", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the CrashLoopBackOff in the notification-service pods after deployment v1.5.2, we identify the issues as memory limit hit leading to OOMKilled and a bad YAML configuration causing the Config error. For the memory limit hit, increase the 'limits.memory' in the deployment YAML to ensure it does not exceed the available memory. For the bad YAML configuration issue, we check for memory leaks and ensure the 'resources' limit in the deployment is correct by using the command `kubectl describe pod <pod>` and looking at the 'Events' section. Specifically for the Config error, we look for misconfiguration in the YAML by checking `kubectl get cm <name> -o yaml` for the ConfigMap. There is no specific rollback or rollback procedures provided in the context and no direct information on the application deployment rollback or database migration rollback. Escalation to the retrieved context is not provided. \", \"cited_artifacts\": [\"KB-00017\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00013", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the CrashLoopBackOff in the notification-service v1.5.2 pods, increase the memory limit by setting `resources.limits.memory` in the deployment yaml to '1024Mi' or more, to avoid the 'OOMKilled' issue. Use `kubectl describe pod <pod>` to check if there’s an 'Error' in the 'Events' section and look for 'Error' or 'CreateContainerConfigError' to identify other root causes like bad YAML or missing secrets, as these will be shown in the 'Error' or 'CreateContainerConfigError' messages respectively from the `kubectl describe pod <pod>` command. No specific rollback or DB migration steps are mentioned in the provided context, hence no reference is cited for rollback or database migration rollback. No specifics on SCIM provisioning or Okta are present, therefore no reference is given for Okta or API tokens. Escalation to any of these is not required as it is not provided in the retrieved context.\", \"cited_artifacts\": [\"KB-00017\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00013", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the CrashLoopBackOff issue in the notification-service v1.5.2 deployment where 2 out of 3 pods are in a CrashLoopBackOff state after the deployment, check for memory limit constraints by increasing the 'resources.limits.memory' in the deployment YAML. Use the 'kubectl describe pod <pod>' command to look for 'OOMKilled' event, which means the memory limit is too low and needs to be increased. For the Kubernetes secret missing, ensure the secret name <name> is present in the target namespace with the 'kubectl get secret <name>' command and check that the secret is available. Check for config map issues by using 'kubectl get cm <name> -o yaml' to ensure the configmap YAML is not injecting any bad values. No specific rollback or rollback procedures are found in the provided context for the deployment rollback due to the critical failure. Escalation to official Kubernetes documentation or related forums is suggested for these scenarios.\", \"cited_artifacts\": [\"KB-00017\"], \"confidence\": 0.4, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00013", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"The CrashLoopBackOff issue in the notification-service v1.5.2 deployment is due to the resources.limits.memory being too low, which leads to the 'OOMKilled' error (Common root causes - OMKilled in KB-00017). Increase the memory limit for the container or decrease the current limits, or remove the limit if the container is not memory-intensive. For event 'Missing secret' (resource not found in the namespace), ensure the secret referenced in the deployment is present with 'kubectl get secret <name>' and is correctly referenced as a secret in the ConfigMap or env vars. No direct escalation from the provided context to rollback a deployment or to configure Okta SCIM 2.0 setup. Escalation not applicable here.\", \"cited_artifacts\": [\"KB-00017\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00024", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Salesforce offboarding issue where users still have active accounts and the Okta SAML cert is expiring in 5 days, the Okta SCIM 2.0 provisioning setup in the Okta Admin Console should be reconfigured to sync user lifecycle correctly with Salesforce. In Okta, enable SCIM provisioning by navigating to Applications > App > Provisioning tab and enable SCIM provisioning. Map attributes correctly as required by Okta SCIM 2.0 provisioning from Okta to Salesforce. Use attribute mapping required from Okta SCIM 2.0 by setting up the base URL in Okta (https://<your-app>/scim/v2/) with a bearer token auth setup in the target app for consistent syncs. The Okta SCIM attribute mapping common failures should be watched out for to avoid 401, 404 on /scim/v2/Users, and failure to update user profiles on the Salesforce side. No need for escalation as the ticket is resolved within the provided retrieved context.\", \"cited_artifacts\": [\"KB-00009\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00024", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Salesforce offboarding issue where 8 offboarded employees still have active accounts and the Okta SAML cert is expiring in 5 days, we need to address the Okta SCIM provisioning sync misconfiguration and ensure deprovisioning. Refer to the Okta SCIM 2.0 Provisioning Setup and Troubleshooting (KB-00009) guide to set up Okta SCIM provisioning and ensure synchronization with Salesforce. For Okta SAML cert expiration, there’s no direct guidance provided in the given contexts, thus we can't provide a direct resolution for the cert issue within the provided resources. Escalation to support or Okta’s official support portal is recommended for this part. So, we focus on Okta setup for now. Use Okta Admin Console > Applications > App > Provisioning tab to enable SCIM provisioning and follow setup steps (1-5) of the Okta SCIM 2.0 guide ensuring attribute mapping with attributes required: userName (email), givenName, and familyName (user.first, user.last) as provided in the Okta SCIM attribute mapping. No certificate renewal for Salesforce from given contexts. \", \"cited_artifacts\": [\"KB-00009\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00024", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the issue with Salesforce users not being deprovisioned after offboarding due to an Okta SCIM 2.0 provisioning problem with silent failures and silent user deactivations due to misconfiguration, and an Okta SAML 2.0 SSO configuration issue causing assertion attribute mismatches, the Okta SCIM provisioning setup should be reconfigured to align with the attribute mapping requirements from the retrieved context. In Okta Admin: Applications > App > Provisioning tab, enable SCIM provisioning, set SCIM connector base URL to https://your-app/scim/v2/, and use the generated Bearer token for the Okta app. Attribute mapping to match required attributes: userName to email, givenName to firstName, familyName to lastName. Ensure the Okta SAML configuration is set with IdP Entity ID to match the SP audience in Salesforce, and the attribute nameID format to 'emailAddress'. Use SAML Tracer Chrome extension to troubleshoot SSO configurations for assertion attributes. Escalation to the Okta or Salesforce support is recommended if the outlined steps do not resolve the silent deprovisioning and attribute mismatch issues.\", \"cited_artifacts\": [\"KB-00009\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00024", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Salesforce users not deprovisioned after offboarding due to the SAML cert expiration in Okta, ensure that the Okta SCIM provisioning setup is configured correctly by following the setup steps in the Okta SCIM 2.0 Provisioning Setup and Troubleshooting (KB-00009) guide: Enable SCIM provisioning on the Okta Admin Console with the provided App and Bearer token configurations. Attribute mapping should use 'userName' for email, 'givenName' for first name, and 'familyName' for last name from Okta to Salesforce. There's no direct ID for Okta MFA reset from the given contexts, but ensure Okta MFA reset is not being performed for the same user account. Escalation could arise if there’s misalignment in attribute mappings that’s not specified here, or if the Okta SCIM provisioning setup steps are not followed precisely as mentioned. No specific IDs for the Salesforce deprovisioning failure from Okta SCIM config given in retrieved context. Escalation steps advise on communication with the Okta and Salesforce support channels, or escalation to Okta support for detailed Okta configuration issues.\", \"cited_artifacts\": [\"KB-00009\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00024", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Okta SCIM issue where offboarded users are still active in Salesforce after the Okta SAML cert expires, enable SCIM provisioning sync in Okta Admin > Applications > App > Provisioning tab with the required setup steps from Okta SCIM 2.0 Provisioning Setup and Troubleshooting (KB-00009). Ensure to enable SCIM provisioning by following steps 1 to 4: enable SCIM provisioning, configure the SCIM connector base URL, add the Bearer token, and enable connector setup with App > Provisioning > Enable SCIM provisioning under Okta Admin. For Salesforce identity issues with SAML cert expiration and offboarding users, there’s no specific direct resolution given; however, the Okta SCIM setup and troubleshooting guidelines (KB-00009) might indirectly guide Okta configuration adjustments to prevent the silent provisioning failures causing the issue with Salesforce identity management. No direct resolution within given contexts.\", \"cited_artifacts\": [\"KB-00009\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00024", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Salesforce deprovisioning issue where 8 offboarded employees still have active accounts and the Okta SAML cert expires in 5 days, the Okta SCIM 2.0 provisioning setup and Troubleshooting (KB-00009) document suggests enabling the Okta SCIM provisioning sync from Okta to Salesforce, and ensuring the attribute mappings are correctly set. For the Okta SAML cert issue, there is no direct guidance in the provided context, but we can check Okta’s SCIM connector base URL, and attribute mappings for Okta to Salesforce app are key. The Okta Admin Console > Directory > People should be used to search and reset Okta Admin’s credentials if necessary to prevent silent failures due to misconfiguration. No specific fixes for Salesforce deprovisioning are listed in the provided contexts. Escalation to the Okta Admin is advised as the Okta MFA reset procedures are from Google Workspace and Azure AD and are not relevant to Salesforce deprovisioning.\", \"cited_artifacts\": [\"KB-00009\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00024", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Salesforce offboarding issue with SAML cert expiration in Okta, it is best to use the Okta SCIM provisioning setup and attribute mapping from KB-00009. For Okta SCIM 2.0 provisioning, ensure Okta Admin: Applications > App > Provisioning tab > Enable SCIM provisioning. Set the SCIM connector base URL to `https://<your-app>/scim/v2/` and select HTTP Header for auth. Add the required attributes: `userName` (email), `name.givenName`, and `name.familyName` and make sure the push actions are enabled for 'New Users', 'Profile Updates', and 'Groups'. For Okta MFA reset, refer to the Okta Admin Console > Directory > People and use the steps from KB-00011 for the MFA reset procedure if needed. Escalation to technical support or a knowledgeable Salesforce administrator may be required due to the specifics of Salesforce deprovisioning and Okta provisioning being complex and context-dependent without more detailed product-specific documentation.\", \"cited_artifacts\": [\"KB-00009\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00024", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For Salesforce users not being deprovisioned after offboarding due to the Okta SAML cert expiring, we need to ensure Okta is not silently provisioning inactive user data to Salesforce and handle the expiration of the Okta SAML cert in Okta Admin. For Okta provisioning, refer to KB-00009 for steps to setup Okta SCIM 2.0 provisioning. Ensure attribute mapping settings in Okta Admin match the required fields for Salesforce (userName maps to email and name.givenName, name.familyName for Okta and Salesforce respectively). For SAML cert expiration on Okta, Okta Admin Console > Applications > App > Provisioning tab, enable SCIM provisioning with the correct connector base URL, auth method, and ensure SCIM attributes are correctly mapped. No specific reference to Salesforce deprovisioning after offboarding from Okta SAML cert expiration in the provided contexts, thus escalate to Okta Admin guide for Okta provisioning setting and attribute mapping. No direct reference to Salesforce deprovisioning after offboarding in the given context, thus escalate to Okta Admin Okta MFA and Okta provisioning attribute mapping for Okta and Salesforce respectively.\", \"cited_artifacts\": [\"KB-00009\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00033", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the multiple network failures after datacenter fiber maintenance, we address BGP peer session drop by using KB-00001 for troubleshooting hold-timer mismatch with `neighbor <ip> timers <keepalive> <hold>` or clear ACL blocking TCP/179 to resolve the BGP peer session issue, fixing hold-timer mismatch and enforcing hold time interval. For OSFP adjacency failure, use KB-00002 by ensuring MTU matches between peers with `ip ospf mtu-ignore` and checking area type consistency between routers with `show ip ospf` for area flags. For DHCP pool exhaustion, refer to KB-00006 where immediate mitigation involves reducing lease time from 8 days to 1 day with `ip dhcp pool CORP_WIFI / lease 1` for configuration change if DHCP scope exhaustion persists with utilization >95% by `show ip dhcp pool` and using `clear ip dhcp binding *` to clear all binding. Escalation not required as these steps are derived from provided context.\", \"cited_artifacts\": [\"KB-00001\", \"KB-00002\", \"KB-00006\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00033", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the issue of BGP peer session down, adjust the hold-timer mismatch by running `neighbor <peer-ip> timers <keepalive> <hold>` on the router to ensure the hold and keepalive intervals match and are not causing a hold time mismatch (Step 3 in the BGP peer session troubleshooting guide from KB-00001). For the OSPF adjacency failure, ensure area-type mismatch by checking `show ip ospf` for area flags ensuring both routers agree on stub/nssa flags in `area <id> st` (Step 4 in the OSPF neighbor adjacency failure investigation from KB-00002). For the DHCP pool exhaustion, use the DHCP exhaustion mitigation by increasing the lease time to 1 day with `ip dhcp pool CORP_WIFI / lease 1` or splitting the scope with `ip dhcp pool CORP_WIFI / lease 1` and adding a new secondary pool with `expand scope` (Steps 3 and 4 in the DHCP exhaustion mitigation from KB-00006). No specific escalation to other solutions from the provided documents.\", \"cited_artifacts\": [\"KB-00001\", \"KB-00002\", \"KB-00006\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00033", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the issue with BGP peer sessions dropping, the hold-timer mismatch must be resolved by using `neighbor <ip> timers <keepalive> <hold>` to ensure the hold timer is configured correctly with the peer. For OSPF adjacency failure, adjust the MTU mismatch by ensuring the interfaces' MTU settings match (MTU must be consistent across the network, and use `ip ospf mtu-ignore` on both interfaces). For OSPF neighbor adjacency failure, ensure area flags are consistent between the two routers by making sure both routers agree on the 'st' vs 'nsa' flags in `area <id> st` in `show ip ospf`. For DHCP pool exhaustion, reduce the DHCP pool lease time to 1 day (from 8 days) using `ip dhcp pool CORP_WIFI / lease 1`. Address the peer sessions, adjacency failures, and DHCP issues with these troubleshooting steps from the provided KBs: KB-00002 for BGP peer session down, KB-00003 for DNS resolution fail, and KB-00007 for interface CRC error. Escalation to manual actions is recommended for unclear hardware issues.\", \"cited_artifacts\": [\"KB-00002\", \"KB-00003\", \"KB-00001\", \"KB-00007\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00033", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the issue with BGP peer sessions dropping for a hold-timer mismatch, use `neighbor <peer-ip> timers <keepalive> <hold>` to adjust the hold timer and clear ACL blocking TCP/179 with `clear ip bgp <peer-ip> events debug ip bgp <peer-ip> events`. For OSPF neighbor adjacency failure due to MTU mismatch, ensure both interfaces have the same MTU with `ip ospf mtu-ignore` on both interfaces or align MTU with `ip ospf mtu-ignore`. For OSPF area mismatch, ensure both routers agree on the `area <id> st` flag with `show ip ospf` command. For DHCP scope exhaustion, reduce lease time from 8 days to 1 day with `ip dhcp pool CORP_WIFI / lease 1` and expand scope with `ip dhcp pool CORP_WIFI / scope 32` or add a secondary pool. No need to escalate as the context provides clear steps for each issue without requiring additional resources beyond the retrieved contexts.\", \"cited_artifacts\": [\"KB-00002\", \"KB-00001\", \"KB-00006\", \"KB-00003\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00033", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the network failures, apply the following steps based on the retrieved contexts: For the BGP peer session down issue, use `debug ip bgp <peer-ip> events` to check for NOTIFICATION messages and ensure that hold-timer mismatch is not the cause by using `neighbor <ip> timers <keepalive> <hold>` or clearing the ACL blocking TCP/179 (Step 1-3 of BGP Peer Session Down — Troubleshooting Guide from KB-00001). For the OSPF neighbor adjacency failure, ensure MTU mismatch is not the issue by aligning the physical MTU with the OSPF hello/dead intervals using `ip ospf mtu-ignore` (Step 2 of OSPF Neighbor Adjacency Failure Investigation from KB-00002). For the DHCP scope exhaustion issue, clear stale leases using `show ip dhcp pool` to confirm utilization and then use `clear ip dhcp binding *` if utilization > 95% (Step 1-3 of DHCP Scope Exhaustion — Emergency Recovery from KB-00006). No escalation to higher tiers is needed as the steps are all within the given contexts.\", \"cited_artifacts\": [\"KB-00001\", \"KB-00002\", \"KB-00006\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00033", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the issue of BGP peer session dropping (Step 1: Verify TCP reachability: `ping vrf MGMT <peer-ip> source <local-ip>`, if ping fails, check ACLs on both ends blocking TCP/179 and look for error in Cisco IOS `debug ip bgp <peer-ip> events`. For OSPF adjacency issue: `show ip ospf neighbor`, look for INIT, EXSTART/EXCHANGE states and state transitions and compare hello/dead intervals with both peers and check area mismatch with `show ip ospf area`. For DHCP scope exhaustion, use `show ip dhcp pool` to confirm utilization and for >95%, proceed with `clear ip dhcp binding *`. No specific context is found for DNS resolution issue here and the other three issues are resolved without need for further escalation. Escalation is not needed as context provides solutions for all the issues.\", \"cited_artifacts\": [\"KB-00007\", \"KB-00002\", \"KB-00006\", \"KB-00003\", \"KB-00001\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00033", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the BGP peer session drop (KB-00001), the local AS must match the peer's AS (AS numbers need to be the same, eg. 65000) and the hold-timer mismatch must be resolved by using the command `neighbor <peer-ip> timers <keepalive> <hold>` to correct the hold-timer mismatch. For OSPF adjacency failure (KB-00002), the MTU between peers must be the same and the area-type mismatch between areas should be fixed with `show ip ospf` area flags, ensuring both routers agree on stub/nssa flags in `area <id> st`. For DHCP scope exhaustion (KB-00006), immediately mitigate by reducing the lease time with `ip dhcp pool CORP_WIFI / lease 1` or expanding the scope, and do not clear ip dhcp binding unless under maintenance conditions to avoid clearing other scopes. Escalation steps not provided by the given context.\", \"cited_artifacts\": [\"KB-00001\", \"KB-00002\", \"KB-00006\"], \"confidence\": 0.5, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00033", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the issue with BGP peer sessions dropping (resolved via step 3: Validate AS and peer config by `neighbor <ip> remote-as <AS>` ensuring it matches the peer’s local AS and not causing configuration mismatch through MD5 passwords (MD5 mismatch causes 'BGP notification: hold time expired' and can be checked with `debug ip bgp <peer-ip> events` for NOTIFICATION messages). For the OSPF adjacency failure, resolve by ensuring MTU alignment (fixing MTU difference between peers using `ip ospf mtu-ignore` for physical MTU and fixing area-type mismatch by ensuring both routers are on the same area flag, as seen with `show ip ospf` on both and checking `area <id> st` for stub/nssa agreement). For DHCP pool exhaustion, mitigate by reducing the lease period to 1 day with `ip dhcp pool CORP_WIFI / lease 1` or expanding the scope to /23 or adding a new secondary pool with `ip dhcp pool CORP_WIFI / scope 23` or `add secondary pool with /23 scope`. No direct solution was found for the DNS resolution failures from the context provided. Escalation to external diagnostics or breaking it down into steps (like Step 1: Isolate DNS vs network and Step 2: Check forwarder chain) is recommended. No direct fix from context provided for this issue.\", \"cited_artifacts\": [\"KB-00007\", \"KB-00002\", \"KB-00001\", \"KB-00006\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00020", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the issue where OSPF routes to the 10.20.0.0/16 network are missing and the routers are in the same physical location and reachable via ICMP, the mismatch in MTU and area type flags are potential issues. Check the MTU mismatch by ensuring the physical MTU aligns between the interfaces of both routers using `show ip ospf neighbor detail` to see if the MTU matches the configured MTU. Use `show ip ospf neighbors detail` to check if the routers are in the same area type (non-stub for both routers by checking `show ip ospf neighbor detail area <area-id>` for non-stub area flags). Escalation to the given context for troubleshooting is not sufficient; hence no need to escalate to other sources. No specific configuration for hold timers, authentication, or DHCP pool maintenance is provided in the context.\", \"cited_artifacts\": [\"KB-00002\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00020", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the stuck INIT state of the OSPF neighbor adjacency on RTR-BRANCH-05, use the `show ip ospf neighbor detail` command to check the neighbor state and ensure it is not in the INIT or 2-WAY state. For an MTU mismatch, ensure that the MTU between the interfaces of both routers does not differ. Use `show ip ospf neighbor detail` to check if the hello/dead intervals match. For an area-type mismatch, use `show ip ospf neighbors detail` to check if the area flags in the `area <id> st` command are consistent for both routers. For authentication, ensure `debug ip ospf adj` does not show 'Invalid authentication' messages. Escalation of these steps is necessary if no direct resolutions are found in the provided context.\", \"cited_artifacts\": [\"KB-00002\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00020", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the issue where OSPF routes to 10.20.0.0/16 are missing from the routing table on RTR-BRANCH-05 after a router replacement, it points to a mismatch in MTU and area settings in the `show ip ospf` commands. Ensure that the MTU on both interfaces is uniform by checking with `show ip ospf neighbor detail` for physical MTU match and use `show ip ospf neighbors detail` to check if area flags are consistent. For an area mismatch, ensure that both routers agree on the stub/nssa flags in `show ip ospf` and area settings as they should be consistent. No need for authentication, as there's no mention of authentication issues in the provided context. Escalation to the troubleshooting of BGP peer session down or DHCP scope exhaustion are irrelevant to this issue. No escalation needed here.\", \"cited_artifacts\": [\"KB-00002\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00020", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"The issue with the missing OSPF route to 10.20.0.0/16 is due to an MTU mismatch between the interfaces of the two routers involved. On RTR-BRANCH-05, the `show ip ospf neighbor` command should be used to check if the router is in the INIT or 2-WAY state, and if so, the mismatch might be on the MTU size between the interfaces of the two routers. Use `show ip ospf neighbor detail` to check the neighbor adjacency states. For area mismatch, check `show ip ospf neighbor detail` and ensure the area flags are consistent for both routers. No direct solutions for area type mismatch are mentioned in the provided context. Escalation of these checks will suffice. No specific BGP or DHCP issues are detailed in the context and hence no corresponding KB references are provided for such issues.\", \"cited_artifacts\": [\"KB-00002\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00020", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the router RTR-BRANCH-05 replacement issue where OSPF routes to 10.20.0.0/16 are missing, align the MTU between the interfaces to ensure it matches the subnet MTU. Use the command `show ip ospf neighbor detail` to check the state transition, and ensure it is not in INIT state. Check for MTU mismatch by ensuring the MTU between RTR-BRANCH-05 and its neighbors is 1500 bytes and not higher. Use `show ip ospf neighbor detail` for the adjacency state and ensure it is not in EXSTART or EXCHANGE states. For area type mismatch, ensure both routers agree on the stub/nssa flags. Use `show ip ospf interface <interface>` to check area flags. No clear mention of authentication issue or area-type mismatch from the given contexts. Escalation required due to insufficient details for hold-timer mismatch or authentication issues.\", \"cited_artifacts\": [\"KB-00002\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00020", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"The issue with the OSPF route to 10.20.0.0/16 missing is due to an MTU mismatch between the interfaces of the new router (RTR-BRANCH-05) and its neighboring routers. Use `show ip ospf neighbor detail` to check if the neighbor is in the INIT or 2-WAY state and ensures both routers have the same MTU interval. To align the MTUs, add `ip ospf mtu-ignore` on both interfaces if the MTU differs. No specific areas or authentication configuration issues have been highlighted for this ticket, so there’s no need to check for area mismatch or authentication as per the provided contexts. Escalation steps are not needed for this based on the given details. \", \"cited_artifacts\": [\"KB-00002\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00020", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"The issue with the OSPF route to 10.20.0.0/16 missing from the routing table after replacing RTR-BRANCH-05 is due to a mismatch between the area flags in `show ip ospf` for the area flags. Ensure both routers agree on the `st` flag for non-stub areas. Use the steps from KB-00002 for MTU mismatch: Check if the physical MTU of the interfaces matches the MTU advertised by the neighbor and ensure that the `show ip ospf` area flags are consistent (both routers are either stub or non-stub). For authentication issues, ensure MD5 keys are identical on both routers as per the KB-00002 step 4 for authentication if using MD5 keys for authentication, and there are no errors in debugs like `debug ip ospf adj` for invalid authentication. Escalation to the other tickets or more context would be required for other factors like interfaces not being neighbors or authentication mismatches. No immediate fix is suggested from the tickets provided for DHCP scope exhaustion, BGP peer session issues, or VPN tunnel flapping.\", \"cited_artifacts\": [\"KB-00002\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00020", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the router RTR-BRANCH-05, the issue is due to a mismatch in MTU between the interfaces of the two routers, preventing adjacency in the INIT state. Use `show ip ospf neighbor` to check if the router is in INIT or 2-WAY states. If it's stuck in INIT, ensure the hello/dead intervals match the remote router’s hello/dead interval and subnet mask with `show ip ospf neighbor detail`. For an MTU mismatch, align the MTU with `show ip ospf neighbor detail` to check MTU settings and ensure both routers have the same MTU. For an area mismatch, ensure both routers agree on the stub/nssa flags in the area configuration with `show ip ospf neighbor detail` and `show ip ospf`. No mention of AS number, MD5 key mismatch, DHCP scope exhaustion, or tunnel flapping in the provided context. Escalation not required.\", \"cited_artifacts\": [\"KB-00002\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00004", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the CRC error rate on GigabitEthernet0/1 of SW-FLOOR2-01, check if there's a duplex mismatch between the switch and the workstation as the most common cause for CRC errors, with a rate of 1.8% over 3 hours. Use the command `show interface GigabitEthernet0/1 | include duplex` on the switch to ensure both sides are configured as 'full-duplex'. For MTU mismatch, align the physical MTU with the interface MTU with `show interfaces GigabitEthernet0/1` and ensure that the hello/dead intervals are the same by using `show ip ospf neighbor detail`. No escalation needed as the relevant details are in the provided contexts on CRC error and MTU mismatch. No direct reference to area-types, MTU-ignore or any specific API gateway timeout from the context provided can be used for the given scenario.\", \"cited_artifacts\": [\"KB-00007\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00004", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the CRC error rate on GigabitEthernet0/1 of SW-FLOOR2-01, the duplex mismatch is the most common cause. Set the speed and duplex on both ends of the interface to `speed 1000 / duplex full` to correct the issue. Ensure that the MTU of the physical interfaces are equal by using `ip ospf mtu-ignore` and checking that both devices have the same area-type in the `show ip ospf` command. No other steps from the provided contexts directly apply to MTU, hello intervals, or authentication issues, so we don't have a definitive MTU adjustment or authentication fix from the available contexts. No API gateway timeouts or IPSec tunnel flapping are related to the SW-FLOOR2-01 CRC error rates. Escalation of knowledge is required for the remaining aspects.\", \"cited_artifacts\": [\"KB-00007\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00004", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the high CRC error rate on GigabitEthernet0/1 of access switch SW-FLOOR2-01, check for duplex mismatch on both ends using the command `show interface GigabitEthernet0/1 | include duplex`. If the result shows one side as full-duplex and the other side as half-duplex or auto, set the speed and duplex on both ends to `speed 1000 / duplex full`. Ensure that the MTU match between the peer interfaces by using `show ip ospf neighbor detail` and checking if the hello/dead intervals match and by ensuring that MTUs are the same on both ends without using `ip ospf mtu-ignore` or fixing area mismatch by ensuring the stub/nssa flags in `show ip ospf` match both routers. No escalate needed as the above steps are directly extractable from the provided KBs and the initial steps can be guided by the resolution given for the CRC errors without involving higher context escalation. \", \"cited_artifacts\": [\"KB-00007\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00004", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the high CRC error rate on GigabitEthernet0/1 of SW-FLOOR2-01, check for duplex mismatch by running `show interface GigabitEthernet0/1 | include duplex` on the switch to ensure both ends are set to full-duplex and speed 1000. For interface MTU, ensure the physical MTU matches the switch port MTU by running `show interfaces GigabitEthernet0/1` and `show ip ospf neighbor detail` to see if the hello/dead interval matches the MTU of the peer interface (a mismatch can lead to EXSTART cause). No need to escalate to the Cisco IKEv2 or API gateway issues as they are not relevant to the workstation CRC errors on the SW-FLOOR2-01. Escalation to other tickets is not suggested in the context available.\", \"cited_artifacts\": [\"KB-00007\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00004", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the CRC error rate of 1.8% on GigabitEthernet0/1 of SW-FLOOR2-01, the issue is primarily due to a mismatch in MTU size between the peer interfaces and the physical MTU used on the switch. Use the command `show ip ospf neighbor detail` to check the adjacency states and ensure the INIT state is not causing a mismatch by ensuring the hello/dead intervals and subnet masks match. For MTU mismatch, use `show ip ospf neighbors detail` to see the MTU mismatch (EXSTART/EXCHANGE) states and ensure `show ip ospf neighbor detail` states are EXSTART/EXCHANGE for peer adjacency with counters and Hello/Dead Intervals intervals matching with the physical MTU (typically 1500 bytes for Ethernet). No specific escalation to other tickets is needed as the root cause is clearly identified. No escalation to other sources is needed.\", \"cited_artifacts\": [\"KB-00002\", \"KB-00007\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00004", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the CRC error rate on GigabitEthernet0/1 of SW-FLOOR2-01, check the duplex mismatch by running `show interface GigabitEthernet0/1 | include duplex` and ensure both ends are set to `speed 1000 / duplex full`. For the MTU mismatch issue, verify if the MTU of the physical interface and the peer interface are the same using `show ip ospf neighbor detail` and align the MTU of the peer interface with the physical interface. Escalation steps are not required as these issues are directly addressed by the provided knowledge base articles. No specific escalation from the provided context is needed.\", \"cited_artifacts\": [\"KB-00007\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00004", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the GigabitEthernet0/1 of access switch SW-FLOOR2-01 with a 1.8% CRC error rate for 3 hours, check the duplex mismatch by running `show interface GigabitEthernet0/1 | include duplex` and ensure it reads 'full' on both sides. For MTU mismatch, check the interface MTU by running `show ip ospf neighbor detail` and ensure the hello/dead intervals match the MTU setting on the switch. Address the MTU difference by running `show ip ospf neighbor detail` to ensure `hello` and `dead` intervals align with the MTU settings on both peers and recheck with `show ip ospf` for area flags to ensure both peers agree on the area flags (which should be the non-stub flag). Escalation to these contexts is not required as the issue with CRC error and other network aspects are well covered within the provided contexts.\", \"cited_artifacts\": [\"KB-00002\", \"KB-00007\"], \"confidence\": 0.5, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00004", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the high CRC error rate on GigabitEthernet0/1 of SW-FLOOR2-01, check the duplex mismatch by running `show interface GigabitEthernet0/1 | include duplex` and ensure both sides are set to full-duplex: `speed 1000 / duplex full`. No need for MTU or area mismatch checks as those are related to other factors. No need to escalate to the provided context for authentication issues or for the referenced contexts (TRAIL-00007 only relates to interface CRC error and not the workstation issue described).\", \"cited_artifacts\": [\"KB-00007\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 0.5, "step": 150}
|
||
{"ticket_id": "TRAIN-00045", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For setting up a new traffic class and QoS policy in Cisco Viptela SD-WAN for the new Zoom Rooms appliances, refer to the Viptela runbook which isn't provided in the retrieved context. No direct reference to Viptela SD-WAN QoS policy management can be found in the given context, therefore there is no specific runbook or configuration example provided. An external Viptela SD-WAN QoS policy management guide or Viptela community support can be considered for such a policy creation.\", \"cited_artifacts\": [], \"confidence\": 0.0, \"escalate\": true}}\n```", "parsed": true, "r_parsimony": 0.5, "step": 150}
|
||
{"ticket_id": "TRAIN-00045", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Viptela SD-WAN traffic class and QoS policy management, refer to KB-00007 for interface CRC error investigation and remediation steps which involve checking duplex mismatch and physical layer conditions, and aligning the QoS settings in Viptela SD-WAN through the traffic class creation and QoS policies for the new video conferencing traffic class. No direct Viptela QoS policy runbook is provided from the context; therefore, we refer to QoS management generally: Ensure the duplex settings on interfaces are consistent between devices (duplex must be 'full' on both ends and on same speed 1000) using the command `show interface <int> | include duplex` and ensure no ACLs are blocking the `ping` to the peer address on the router VRF from the command `show interface <int> transceiver detail` for SFP and checking cable length under 100m for copper for CRC errors. Escalation to Viptela-specific documentation or a Viptela support runbook is required for a complete Viptela QoS policy management.\", \"cited_artifacts\": [\"KB-00007\"], \"confidence\": 0.1, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00045", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Viptela SD-WAN QoS policy management for the Zoom Rooms appliances, there is no direct runbook or specific guidance in the retrieved context for Viptela SD-WAN QoS policy management. However, for traffic classes and QoS policies, refer to the concept of defining a custom traffic class in Viptela UI and setting up QoS policies which are not covered in our context. No specific runbooks or mitigations are available in the provided context, hence escalate to support documentation or Viptela official guides for detailed steps. No runbooks or steps are identified from the provided contexts.\", \"cited_artifacts\": [], \"confidence\": 0.0, \"escalate\": true}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00045", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Viptela SD-WAN QoS policy management of the Zoom Rooms appliances, there is no direct runbook provided in the retrieved context that specifically addresses traffic classes and QoS policies in Viptela. Therefore, we must look for general QoS strategies applicable across SD-WAN platforms. Unfortunately, there’s no direct specific Viptela SD-WAN runbook in the provided context that directly assists with the given issue. Escalation to Viptela community or Viptela support portal for a relevant runbook is recommended.\", \"cited_artifacts\": [], \"confidence\": 0.0, \"escalate\": true}}\n```", "parsed": true, "r_parsimony": 0.5, "step": 150}
|
||
{"ticket_id": "TRAIN-00045", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"No direct runbooks or context are provided to manage the QoS policy or traffic class changes in Viptela SD-WAN for the Zoom Rooms appliances using the provided runbooks. There are no specific runbooks or detailed steps mentioned in the retrieved context to resolve the SD-WAN policy change request for the video conferencing traffic class in Viptela. Escalation to Viptela support documentation or the official Viptela runbook for the requested use case is required for a specific solution.\", \"cited_artifacts\": [], \"confidence\": 0.0, \"escalate\": true}}\n```", "parsed": true, "r_parsimony": 0.5, "step": 150}
|
||
{"ticket_id": "TRAIN-00045", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For managing the QoS policy for the Viptela SD-WAN traffic class for Zoom Rooms appliances, there isn't a direct runbook or runbook snippet provided in the retrieved context that directly addresses the SD-WAN QoS policy management. However, there's a reference to Viptela runbook for SD-WAN QoS which could be helpful but not directly stated in the provided context. No direct runbook exists in the given context to manage SD-WAN traffic class and QoS policies for Viptela. Escalation to Viptela forums or customer success cases or the Viptela runbook might be required for this case.\", \"cited_artifacts\": [], \"confidence\": 0.0, \"escalate\": true}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00045", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the SD-WAN QoS policy management in Viptela, there is no direct runbook or runscript runbook available in the provided contexts. However, for the QoS policy, the Traffic class management can be managed under Viptela GUI or APIs as there is no direct runbook reference from the provided context for the Viptela SD-WAN traffic class or QoS policy management. Escalation required for the Viptela specific policy setup without additional runbooks or runscipt references available in the context. No direct resolution provided from the provided context.\", \"cited_artifacts\": [], \"confidence\": 0.0, \"escalate\": true}}\n```", "parsed": true, "r_parsimony": 0.5, "step": 150}
|
||
{"ticket_id": "TRAIN-00045", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"No direct runbooks or steps for QoS policy management in Viptela SD-WAN for traffic classes for Zoom Rooms appliances are found in the provided retrieved context. There are no clear indicators or runbooks provided to manage QoS for SD-WAN traffic classes in Viptela from the given context. Escalation to Viptela SD-WAN runbooks or Viptela QoS policy management guides specific to Viptela SD-WAN might be needed which are not present in the retrieved context, hence this cannot be resolved solely with the provided context. Escalation of support ticket is advised to related Viptela SD-WAN guides.\", \"cited_artifacts\": [], \"confidence\": 0.0, \"escalate\": true}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00025", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For orders-service CrashLoopBackOff, refer to KB-00017 for root cause and increase the memory limit in resources.limits.memory to a value that avoids the OOMKilled crash (e.g., '4g'). For database connection pool exhaustion, refer to KB-00016 for the limit check on the 'hikaricp_connections_max' metric and ensure 'hikaricp_connections_pending' is not equal to 'hikaricp_connections_max'. No direct relation to API Gateway timeout from KB-00018 and OSPF adjacencies from KB-00002 are provided. Escalation not required.\", \"cited_artifacts\": [\"KB-00017\", \"KB-00016\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 0.5, "step": 150}
|
||
{"ticket_id": "TRAIN-00025", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the CrashLoopBackOff issue in orders-service pods, increase the memory limit using the `resources.limits.memory` in the YAML of the order-service deployment to ensure it's not too low. For the database connection pool exhaustion in the fulfillment-service, increase `hikaricp_connections_max` in the application configuration or metrics to prevent pool saturation. For the API Gateway 504 timeouts in the fulfillment-service, filter API gateway access logs for '504' to identify the slow upstream with the command `grep 504 /var/log/kong/access.log | awk '{print $7, $9}' | sort -n` and check for DB query regression with explain plan on slow queries. No direct context exists to address the OS neighbor adjacency failure in orders-service or BGP peer session issue in fulfillment-service. Escalation to other troubleshooting resources or monitoring tools is suggested. Check the Kubernetes pod logs for CrashLoopBackOff with `kubectl logs <pod> --previous` and check for non-zero exit with `kubectl describe pod <pod> --show-scopes`. No direct steps for API Gateway timeout or BGP issue are provided in the given context.\", \"cited_artifacts\": [\"KB-00017\", \"KB-00016\", \"KB-00018\", \"KB-00017\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00025", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the CrashLoopBackOff issue in the orders-service pods, check the ConfigMap for any misalignment via `kubectl get cm <configmap-name> -o yaml` to see if it matches the expected YAML for the application without secret injection errors. For the connection pool exhaustion in the application logs, check if the Prometheus metric 'hikaricp_connections_active' equals 'hikaricp_connections_max' and 'hikaricp_connections_pending' to ensure the connection pool exhaustion is due to the pool being saturated, and monitor 'pg_stat_activity' or 'SHOW PROCESSLIST' for the 'idle' and 'active' connection state to check for idle connection usage and long running queries. For database connection timeouts, there are no direct resolutions given in the context and the connection timeout in the API Gateway is a separate issue which is not directly affecting the pods. No specific steps are provided for Kubernetes API Gateway timeouts. Escalation steps can be to reach out to the database side’s logs or expert help and API Gateway logs for further troubleshooting of 504 timeouts. No cited artifacts from the given context could fully address the 504 timeout issue without a direct link to the Kubernetes or database related context.\", \"cited_artifacts\": [\"KB-00016\", \"KB-00017\", \"KB-00017\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00025", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the CrashLoopBackOff in orders-service pods and connection pool exhaustion in the fulfillment-service DB, address the CrashLoopBackOff by increasing the memory limit in the ConfigMap YAML for the orders-service pod by running 'kubectl edit cm <pod-name>' to set 'resources.limits.memory' to a higher value if the current limit (e.g., 256Mi) is too low. For connection pool exhaustion, the connection pool exhaustion in the DB is a symptom of a connection pool that is being held too long by idle queries or unclosed ResultSets. In the order service, ensure the 'resources.limits.memory' limit in the ConfigMap YAML is not too low. For the API Gateway timeout, ensure the timeout configuration in Kong is properly set with 'proxy_read_timeout 60000'. No direct steps from the context point to resolving the API Gateway timeout; hence no specific KB reference points to this. Escalation is not required for these issues as specific actionable points are found in the provided contexts for both the CrashLoopBackOff and the DB connection pool exhaustion.\", \"cited_artifacts\": [\"KB-00016\", \"KB-00017\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00025", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the CrashLoopBackOff issue, follow Steps 1-2 and Steps 3(a) from KB-00017, which cover the common root causes: 'OOMKilled' due to a memory limit (resources.limits.memory too low) which can be fixed by increasing or fixing memory leak, and 'Error' due to non-zero exit which requires looking at the logs from the previous container run via kubectl logs <pod> --previous. For the connection pool exhaustion, follow Step 1 from KB-00016: confirm pool exhaustion by checking Prometheus/Grafana metric for hikaricp_connections_active and the connection holders from thread dumps, ensuring it doesn't equal hikaricp_connections_max and active is high for 'idle' and 'active'. For API Gateway timeout, apply the API Gateway 504 Timeout Troubleshooting from KB-00018 to identify the slow upstream service by filtering 504s in KONG logs and testing the upstream service directly. No details from KB-00013, KB-00002, or KB-00018 for the DB connection pool exhaustion and other steps for API Gateway timeout are available, thus escalating. Escalation needed for the API Gateway timeout and Fulfillment Service connection timeout.\", \"cited_artifacts\": [\"KB-00017\", \"KB-00016\", \"KB-00001\", \"KB-00018\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00025", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the CrashLoopBackOff issue in the orders-service pods, increase the memory limit in the YAML for the secret. Use `kubectl get secret <name>` to check if the secret is correctly referenced in the ConfigMap for the service. For the connection pool exhaustion in the fulfillment-service, check the Prometheus/Grafana metric for `hikaricp_connections_max` and `hikaricp_connections_active` to see if the pool is saturated. For the 504 Timeout in the API Gateway access logs, filter for 'upstream_response_time' > 500 ms to identify the upstream issue and adjust the timeout configuration in Kong to `proxy_read_timeout 60000` by `kubectl edit deployment <name>` under 'spec.containers' -> 'readinessProbe'. No direct reference to the database connection pool exhaustion found in the provided contexts, thus no specific advice.\", \"cited_artifacts\": [\"KB-00017\", \"KB-00016\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00025", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the CrashLoopBackOff issue with the orders-service pods and database connection pool exhaustion in the fulfillment-service, follow the root cause diagnosis for CrashLoopBackOff (KB-00017) by increasing the memory limit to prevent OOMKilled with `resources.limits.memory` in the YAML or ConfigMap and watch for missing secret with `kubectl get secret <name>` without it in the namespace. For the database connection pool exhaustion, ensure the pool is not saturated and ensure that the max pool size does not exceed the active count (use Prometheus/Grafana metric for hikaricp_connections_active and check if it equals hikaricp_connections_max). There is no direct resource from KB-00016 to resolve the API Gateway timeout issue as it involves troubleshooting the upstream service and thread pool exhaustion that is distinct from the others provided. Escalation on these would be possible but not direct from the provided contexts. No MTU or hold-timer configurations are provided directly in the context to address the firewall settings or route MTU but are all covered in other sections not provided as context.\", \"cited_artifacts\": [\"KB-00017\", \"KB-00016\", \"KB-00018\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00025", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the CrashLoopBackOff in the orders-service pods, increase the memory limit in the YAML file for the secret referenced in the ConfigMap and ensure the secret exists in the correct namespace. For the DB connection pool exhaustion in the fulfillment-service, the 'hikaricp_connections_active' should be compared to 'hikaricp_connections_max' and check the 'idle' and 'active' state in the Postgres or MySQL 'pg_stat_activity' or 'SHOW PROCESSLIST' query respectively to ensure the pool is not saturated and the connections are not idle or active. The API Gateway timeout issue with the 504 Gateway Timeout requires checking the upstream service directly using curl -w '%{time_total}' -o /dev/null to find out whether it's due to the service or the gateway by bypassing the gateway and testing it directly. No direct escalation or further external reference is needed from the provided retrieved context to address these individual issues.\", \"cited_artifacts\": [\"KB-00017\", \"KB-00016\", \"KB-00018\", \"KB-00002\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00005", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"The issue with the F5 LTM pool members showing red and the application backend servers being healthy is due to the wrong health check monitor type. Use the Step 1 and Step 3 from the provided KB-00004 context to configure the correct health check monitor type and ensure there are no firewall blocks. For the health monitor failure, use an HTTPS monitor with 'recv: 'OK'' and ensure the firewall does not block health check traffic from the F5's self-IP. For the health checks, use 'send: HEAD /health HTTP/1.1\\r\\nHost: myapp.corp.example.com\\\\r\\\\n' and 'recv: OK' in the health monitor configuration of the F5 GUI under Local Traffic > Pools > Pool List. No other steps from other contexts apply to this issue.\", \"cited_artifacts\": [\"KB-00004\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00005", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"The issue with the F5 LTM health monitor red status for the app-backend-pool members is due to the monitor being set to HTTP instead of the required HTTPS and the receive string not matching the backend health check response. Use the F5 LTM Health Monitor Failures Configuration Guide step by step: Use the 'HTTP' monitor type for the 'recv' string with 'OK' and change the monitor to HTTPS. 'PATCH /mgmt/tm/ltm/pool/~Common~mypool/members/~Common~<ip>:<port> {\"session\": \"user-e\", \"session\":\"user-e\\\"} will force the member up. Ensure the monitor type is 'HTTPS' with 'recv: 'OK'' and matches the backend response text. No misconfiguration advice from the provided KBs is applicable to the F5 LTM pool member health issue. Escalation not required due to the step-by-step guide in KB-00004.\", \"cited_artifacts\": [\"KB-00004\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": false, "r_parsimony": 0.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00005", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"The F5 LTM marks pool members red due to an incorrect monitor type. Use the F5 LTM Health Monitor Failures guide provided (KB-00004) by checking the monitor type vs. the service in the Local Traffic > Pools > Pool List. Ensure the health check does not require a Host header or redirect to HTTPS. For the receive string, it must match 'OK' in the backend's health check response. If there's an error from the backend, ensure there's no Host header requirement and the correct receive string in the monitor settings. No need for escalation as the details are in the provided context. No additional tickets or integrations are needed from the other retrieved contexts.\", \"cited_artifacts\": [\"KB-00004\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00005", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the F5 LTM health monitor issue where all 4 members of the app-backend-pool are marked down, use the configuration guide in KB-00004, ensuring the monitor type is set to 'HTTPS' with `send: HEAD /health HTTP/1.1\\r\\nHost: myapp.corp.example.com\\\\r\\\\n` and verify the receive string in the backend response aligns with `recv: 'OK'`. No configuration issues are evident from the Okta SCIM or Spring Session context related to the F5 LTM pool health or Redis eviction issues in the provided contexts. Escalation not required.\", \"cited_artifacts\": [\"KB-00004\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 0.5, "step": 150}
|
||
{"ticket_id": "TRAIN-00005", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"The F5 LTM marking pool members as red could be due to the receive string in the health monitor not matching the backend's health check response text. Ensure that the F5's health monitor (HTTP monitor) in the Local Traffic > Pools > Pool List section is set to 'recv: OK' and check the receive string in the F5 LTM health monitor setup to match the backend's health check response. No need to escalate to other tickets given the F5 LTM issue. No specific configuration issues from the other tickets can be directly correlated to the LTM health monitor setup for app-backend-pool. Escalation to other tickets is not required as the critical issues are directly addressed in the provided info for F5 LTM health monitor setup.\", \"cited_artifacts\": [\"KB-00004\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00005", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"The issue with the F5 LTM marking the pool members as 'down' and the app-backend-pool showing all members as red can be diagnosed by ensuring the health check monitor type aligns with the backend request (Step 1 of KB-00004). For the F5 LTM, use the F5 LTM Health Monitor Failures — Configuration Guide steps: Ensure the health monitor type (HTTP or HTTPS) matches the backend request and the receive string in the monitor's settings ('recv: 'OK'') corresponds to the response from the backend. No need to refer to other context. Escalation is not applicable as we have a direct solution.\", \"cited_artifacts\": [\"KB-00004\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00005", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"The F5 LTM marking the app-backend-pool members as red is due to the wrong health monitor configuration. Use an HTTPS monitor with `recv: 'OK'` in the monitor's settings instead of the default HTTP monitor. Ensure the backend response does not change the health check text by adding `recv: 'OK'` in the monitor settings for the app-backend-pool. For the issue in the app-backend-pool not being up because all pool members are marked down (red), this is an F5 LTM health monitor failure and the issue can be resolved by setting up the health check receive string correctly in the LTM health monitor settings to match the backend response. There is no need to look into the other issues provided as they are not relevant to the app-backend-pool members being marked down. No need for further escalation as there is no information that suggests an app-backend-pool health monitor failure in the provided context.\", \"cited_artifacts\": [\"KB-00004\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00005", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the F5 LTM issue where pool members are marked as red, we need to ensure that the health checks are configured correctly to avoid timeouts and mismatch with backend responses. Use the F5 LTM health monitor guide for the health monitor type (HTTP vs. HTTPS) and the receive string to ensure the backend response text matches the recv string (e.g., 'OK'). The HTTP monitor should be updated to send HEAD /health HTTP/1.1 and ensure that the receive string matches the backend response. There are no direct mentions of Redis eviction or Okta SCIM configuration issues in the provided context. Escalation not needed. No specific Spring Session configurations are relevant. Escalation to a non-existent context.\", \"cited_artifacts\": [\"KB-00016\", \"KB-00004\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00003", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"The issue with the laptop not resolving corp-sharepoint.corp.example.com from the corporate wifi is due to an incorrect DNS server configuration. Use the Step 1 from the KB-00003 article by running `nslookup <hostname> <dns-server-ip>` on the client with the command where <hostname> is 'corp-sharepoint.corp.example.com' and <dns-server-ip> is one of the corp DNS servers (10.10.1.53 or 10.10.2.53). If this fails and nslookup does not find 'corp-sharepoint.corp.example.com', check the forwarder chain with `dig @10.10.1.53 google.com +time=2`. If it times out, it indicates a forwarder chain issue with the corp DNS forwarders not connecting to the internet. For internal zones, ensure the corp zones are not being routed by split-DNS to external resolvers by checking `check client DNS server assignment` in Step 3 of the KB-00003. No other tickets from the provided contexts can resolve the laptop's inability to resolve corp-sharepoint.corp.example.com.\", \"cited_artifacts\": [\"KB-00003\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00003", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"The issue with the laptop not being able to resolve corp-sharepoint.corp.example.com from the corporate wifi is due to an internal DNS server that is incorrectly configured to use the wrong forwarder chain for external requests. Use the `nslookup` command to check the internal DNS server assignment with `nslookup <hostname> 10.10.1.53` to ensure it is using the right DNS server for corp-sharepoint.corp.example.com. If the internal forwarders are correct but nslookup fails, check for forwarder chain issues by using `dig @10.10.1.53 google.com +time=2` to ensure the internal forwarders are not blocking external queries. No further escalation to the articles on TLS certificates, BGP peer session failures, or DHCP scope exhaustion is required for this issue. Escalation steps not applicable as all conditions listed under the KB-00003 article suffice to resolve the problem.\", \"cited_artifacts\": [\"KB-00003\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00003", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"The issue with the laptop on the corporate wifi not being able to resolve corp-sharepoint.corp.example.com from the DNS configuration can be resolved by checking if the nslookup command is failing due to the wrong DNS server. Run `nslookup corp-sharepoint.corp.example.com 10.10.1.53` to check if it fails and points to NXDOMAIN, indicating the wrong internal DNS server. If internal resolution fails but external succeeds, check `dig @10.10.1.53 google.com +time=2` for timeout issues, indicating a forwarder chain issue. If it fails, the internal DNS server is likely misconfigured. For forwarder connectivity issues, ensure the internal forwarders to the ISPs are active by checking `dig @10.10.1.53 google.com +time=2` for timeouts and forwarder blocks. No specific escalate can be done from the given context. Escalation to ServiceNow or IT-PKI for TLS certificates or BGP peer sessions are not applicable here.\", \"cited_artifacts\": [\"KB-00003\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00003", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the laptop on the office wifi unable to resolve corp-sharepoint.corp.example.com, it is indicative of DNS resolution issues. Use Step 1 from the Corporate DNS Resolution Failures — Diagnosis and Fix (KB-00003) by performing `nslookup corp-sharepoint.corp.example.com 10.10.1.53` to check if the internal corp DNS server is the problem. If the internal internal DNS server is configured to use the wrong external DNS (which can be checked by `dig @10.10.1.53 google.com +time=2` and watching for timeouts), use Step 2 from the same article to see if there’s a forwarder chain issue: `dig @10.10.1.53 google.com +time=2` should be a success. Escalation to the forwarder chain or split DNS can be confirmed by steps 2 and 3 from the same article. If steps lead to internal DNS issue, the client is using the wrong internal DNS server which could be due to split-DNS routing or record missing, check `show ip dhcp pool` to see if the issue is DNS or DHCP related, but these are under the scope of Step 1, it looks like there’s no immediate escalation to handle other tickets provided.\", \"cited_artifacts\": [\"KB-00003\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00003", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the laptop not resolving corp-sharepoint.corp.example.com on the office wifi, the DNS resolution issue indicates the client might be using an incorrect DNS server. Use the command `nslookup corp-sharepoint.corp.example.com` to see which DNS server it is using. If it’s not using the internal corp DNS server (10.10.1.53 or 10.10.2.53), it is using an incorrect one. You need to ensure your client is configured to use the corp DNS. Check the DNS settings under network adapters in the network properties. For advanced settings, update the system’s DNS server to 10.10.1.53 and 10.10.2.53 manually under 'Advanced DNS'. To prevent the issue from happening again, you should not escalate as this ticket is about a network DNS settings configuration and there are no external requirements for escalation or additional tickets to resolve. No concrete escalation to 'No Fixes found' was provided in the context provided for this ticket.\", \"cited_artifacts\": [\"KB-00003\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00003", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the laptop to resolve corp-sharepoint.corp.example.com from the corporate wifi, confirm that the client is not using the wrong DNS server by running `nslookup corp-sharepoint.corp.example.com 10.10.1.53` and ensure it succeeds. Next, ensure the internal forwarders are not being blocked by the ISP by running `dig @10.10.1.53 google.com +time=2` and checking for a timeout. For internal zones, check if the record for corp.example.com is missing in the DNS zone by using `ipconfig /displaydns` or similar in Windows or `ipconfig /displaydns` or equivalent in Linux. Escalation steps would involve checking the internal zones for split-DNS and resolving the cause through the internal server assignment settings and the exact logs provided in Step 3 of the KB-00003 for the internal zones. No direct escalation steps are available from the provided context that pertain to the network resolution or forwarder issues.\", \"cited_artifacts\": [\"KB-00003\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00003", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the issue where the laptop on the corporate wifi can't resolve corp-sharepoint.corp.example.com and the internal zone (corp.example.com) is using the wrong DNS server, follow Step 1: Isolate DNS vs network by running `nslookup corp-sharepoint.corp.example.com 10.10.1.53` to ensure the client is not misdirected to the wrong internal DNS server. For Step 2, check forwarder chain by running `dig @10.10.1.53 google.com +time=2` to see if it fails with a timeout indicating blocked forwarders. No artifacts from other tickets directly apply to the described network issue, hence escalate not applicable. No artifact identified for the internal record issue directly from the retrieved context.\", \"cited_artifacts\": [\"KB-00003\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00003", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the issue with the laptop not resolving corp-sharepoint.corp.example.com on the corporate wifi, the steps are as follows: First, ensure the internal zones for corp.example.com are being handled correctly by the client by checking the forwarder chain to internal servers using dig @10.10.1.53 google.com +time=2. If this succeeds but the application fails, the client is not using the correct DNS server (use nslookup <hostname> <dns-server-ip> to check). For an internal failure in corporate DNS delegation (like missing records or split-DNS routing to external resolvers causing NXDOMAIN), check if the zones are being assigned properly to the client DNS server and if the forwarders are set correctly for the corp DNS. No escalation from the provided context is needed for the TLS certificate or networking fix for this error. Escalation is not necessary as all needed steps are covered in the provided KB-00003 for corporate DNS resolution failures.\", \"cited_artifacts\": [\"KB-00003\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00048", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Okta MFA reset issue where 400 users are locked out and need to be unlocked, use the Okta Admin Console to reset the MFA for the users via the Okta MFA reset steps: Go to Okta Admin > Directory > People and search the user, click on the user, go to More Actions > Reset Multifactor, and confirm the reset without active sessions. For service account failures, refer to the Okta SCIM provisioning setup and troubleshooting for SCIM 2.0 which might help in resolving silent failures as per KB-00009 and the Okta MFA reset procedure. No reference to Active Directory or SAML in the context provided.\", \"cited_artifacts\": [\"KB-00011\", \"KB-00009\", \"KB-00010\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00048", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Okta MFA reset issue, in the Okta Admin Console, go to Applications > App > Provisioning tab and ensure SCIM provisioning is enabled. Use attribute mapping with required attributes userName, givenName, familyName, and optional phoneNumbers[0].value, title, and department. For the Okta SCIM 2.0 provisioning setup and troubleshooting, navigate to the Scim connector base URL which is `https://<your-app>/scim/v2/` and ensure Bearer token is not expired with status 200, and enable the push users, groups, and deactivate users in the Okta Admin console under the Okta Applications > App > Provisioning tab. Escalation is not required as the mentioned issues are covered in the Okta MFA reset, Okta SCIM 2.0 Provisioning Setup and Troubleshooting, and attribute mapping with Okta Admin Console steps.\", \"cited_artifacts\": [\"KB-00011\", \"KB-00009\", \"KB-00010\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00048", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Okta MFA reset issue where users are locked out for 90 minutes after a policy change, the Okta SCIM 2.0 provisioning setup should be checked as the root cause. Ensure that Okta SCIM provisioning is enabled in the Okta Admin Console with the app configuration, ensuring the attribute mapping is correctly set for user lifecycle changes in Okta (as per KB-00009, attribute mapping is crucial). Escalation to Okta Admin SCIM connector and SCIM attribute mapping for enabling and attribute mapping setup are advised from the provided KB-00009. For the Okta Admin console and Okta Admin SCIM connector base URL configurations, use Okta Admin > Applications > App > Provisioning tab to enable SCIM provisioning and ensure the SCIM connector base URL is configured correctly. No specific fix from the given KB-00011 or KB-00008 since they don't directly relate to MFA reset mechanism. Escalation is not needed as the above steps are relevant to the given context and procedures.\", \"cited_artifacts\": [\"KB-00009\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00048", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Okta MFA outage for 200 users at 09:00 due to Okta SCIM 2.0 provisioning setup misconfiguration, follow KB-00009 for setup and attribute mapping configuration. Enable SCIM provisioning in Okta Admin > Applications > App > Provisioning tab, and configure the SCIM connector base URL and auth with a bearer token. Ensure the attribute mapping includes userName (email) and required SCIM attributes. If there's a failure, check for '401: Bearer token expired or wrong' by regenerating the token and ensure there's no '404 on /scim/v2/Users' by enabling the SCIM endpoint. Escalation from the given contexts is not applicable.\", \"cited_artifacts\": [\"KB-00009\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
|
||
{"ticket_id": "TRAIN-00048", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Okta MFA reset incident, follow Okta Admin Console > Directory > People > Search user for the affected user and click user > More Actions > Reset Multifactor. Confirm reset without active sessions and terminate all before reset using Okta Admin Console options. Escalation is not required as the steps for Okta MFA reset and Okta SCIM provisioning are provided in KB-00011 and KB-00009 respectively, without conflicting information for the current issue. No escalatory steps needed due to the available Okta MFA reset procedure. No need to escalate.\", \"cited_artifacts\": [\"KB-00011\", \"KB-00009\"], \"confidence\": 0.3, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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{"ticket_id": "TRAIN-00048", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Okta MFA reset issue, admins need to reset the Okta MFA by navigating to the Okta Admin Console > Directory > People > Search user and clicking on More Actions > Reset Multifactor. Ensure to confirm the reset and verify that the 'Current Sessions' are terminated before the reset to avoid hijacking. For Okta SCIM 2.0 provisioning setup, ensure that there are no silent provisioning failures by enabling SCIM provisioning in Okta Admin > Applications > App > Provisioning tab and setting up the SCIM connector in Okta Admin > Applications > Provisioning > Manage Connectors. Check the attribute mappings in Okta Admin > Applications > Provisioning > Mappings and ensure 'userName' is mapped to 'email' and 'givenName' and 'familyName' in SCIM connectors. No issues with Azure AD/Entra or SAML are noted from the given context. Escalation is not required as the context provides the steps for Okta MFA reset and Okta SCIM provisioning setup.\", \"cited_artifacts\": [\"KB-00011\", \"KB-00009\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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{"ticket_id": "TRAIN-00048", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Okta MFA reset issue, IT admins should follow the Okta Admin Console steps for resetting MFA by going to People > Search user > Click user > More Actions > Reset Multifactor and confirm reset using the Okta Admin Console’s process for push Profile Updates via the Scim connector with the attributes matching Okta attributes in Azure portal to prevent silent sync failures. Ensure there’s no clock skew between IdP and SP and manage the Okta sessions carefully to avoid hijacking, addressing the Okta Provisioning misconfigurations and handle the account lockout due to misconfigured passwords as a secondary issue with Azure AD configurations and Okta session states. No escalation required due to direct clues in the Okta MFA reset KB and Okta SCIM 2.0 SCIM attribute mapping in Okta SCIM Provisioning. Escalation is ruled out with the available direct fixes.\", \"cited_artifacts\": [\"KB-00011\", \"KB-00009\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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{"ticket_id": "TRAIN-00048", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"For the Okta MFA reset issue, you need to ensure Okta SCIM 2.0 provisioning is set up correctly to prevent silent failures. Navigate to Okta Admin Console, enable SCIM provisioning and set up attribute mapping as per KB-00009 with step 1: In Okta Admin: Applications > App > Provisioning tab > Enable SCIM provisioning, URL: https://<your-app>/scim/v2/, Auth: select HTTP Header, generate a Bearer token and check if the endpoint is enabled via the Okta status page. For the Okta Admin Console error, ensure the attribute mappings are correctly configured as per step 4 in KB-00009: attribute mapping critical, map userName -> email, givenName -> first_name, familyName -> last_name and check for common failures with step 5: 401: Regenerate Bearer token, 404: Enable SCIM endpoint in app config, 200 on /scim/v2/Users. No issues are found directly from the tickets and no escalate is required.\", \"cited_artifacts\": [\"KB-00009\"], \"confidence\": 0.2, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 1.0, "step": 150}
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