I will try :
1- update the agent with these values
2- run argo with those changes

then share what i found

I assume the key and secret values here are redacted values and not the actual ones, right?

The value field is a default argo falls back into if i dont provide any

I had those setted on the config file, but i can provide you what i am using for server and agent config if it helps. I got lost on the configs so i tried everything 🤣

parameters:
      - name: namespace
        value: clearml-prod
      - name: node-ip
        value: "192.168.70.211"
      - name: force-cleanup
        value: "false"
      - name: install-server
        value: "true"
      - name: install-agent
        value: "true"
      - name: install-serving
        value: "true"
      - name: diagnose-only
        value: "false"
      - name: storage-class
        value: openebs-hostpath
      - name: helm-timeout
        value: 900s
      - name: clearml-access-key
        value: CLEARML8AGENT9KEY1234567890ABCD
      - name: clearml-secret-key
        value: CLEARML-AGENT-SECRET-1234567890ABCDEFGHIJKLMNOPQRSTUVWXYZ123456
      - name: admin-password
        value: clearml123!

I understand, I'd just like to make sure if that's the root issue and there's no other bug, and if so then you can think of how to automate it via API

I also see these logs:
bash

/root/entrypoint.sh: line 28: /root/clearml.conf: Read-only file system

This indicates that the container's filesystem is mounted as read-only , preventing the agent from writing its configuration file.

From

podSecurityContext:
  readOnlyRootFilesystem: true  # This causes the issue

PodSecurityPolicies
Security Context Constraints (OpenShift)
Admission controllers enforcing read-only filesystems

Hi @<1811208768843681792:profile|BraveGrasshopper38> , following up on your last message, are you running in an OpenShift k8s cluster?

Hi! Im using just a plain Kubernetes cluster (kubeadm) running on Proxmox VM, and im using Argo to deploy the helm, in order to standarize it Let me know if you need any more details!

just to check is this the intended image: docker.io/allegroai/clearml-agent-k8s-base:1.24-2

I will try to create them on the UI and only run the Agent task on argo or so to see if it helps

So CLEARML8AGENT9KEY1234567890ABCD is the actual real value you are using?

Oh no worries, I understand 😄
Sure, if you could share the whole values and configs you're using to run both the server and agent that would be useful.
Also what about other Pods from the ClearML server, are there any other crash or similar error referring to a read-only filesystem? Are the server and agent installed on the same K8s node?

resulting in the same issue

yes

I have separed the most crutial part. Its a container that runs the standard helm commands

example:
....
cat > /tmp/server-values.yaml <<EOF
global:
defaultStorageClass: $STORAGE_CLASS

        apiserver:

...
helm install clearml clearml/clearml
--namespace "$NS"
--values /tmp/server-values.yaml
--wait
--timeout "$TMO"

...

helm install clearml-agent clearml/clearml-agent
--namespace "$NS"
--values /tmp/simple-agent-values.yaml
--wait
--timeout 300s

these are the values :

clearml:
agentk8sglueKey: $ACCESS_KEY
agentk8sglueSecret: $SECRET_KEY
clearmlConfig: |-
api {
web_server: http://$NODE_IP:30080
api_server: http://$NODE_IP:30008
files_server: http://$NODE_IP:30081
credentials {
"access_key" = "$ACCESS_KEY"
"secret_key" = "$SECRET_KEY"
}
}

        agentk8sglue:
          # Try newer image version to fix Python 3.6 regex issue
          image:
            repository: allegroai/clearml-agent-k8s-base
            tag: "1.25-1"
            pullPolicy: Always

          apiServerUrlReference: "http://$NODE_IP:30008"
          fileServerUrlReference: "http://$NODE_IP:30081"
          webServerUrlReference: "http://$NODE_IP:30080"
          clearmlcheckCertificate: false
          queue: default
          createQueueIfNotExists: true

          # Keep resources minimal for testing
          resources:
            limits:
              cpu: 500m
              memory: 1Gi
            requests:
              cpu: 100m
              memory: 256Mi

        sessions:
          svcType: NodePort
          externalIP: $NODE_IP
          startingPort: 30100
          maxServices: 5

Also, in order to simplify the installation, can you use a simpler version of your values for now, something like this should work:

agentk8sglue:
  apiServerUrlReference: 

  clearmlcheckCertificate: false
  createQueueIfNotExists: true
  fileServerUrlReference: 

  queue: default
  resources:
    limits:
      cpu: 500m
      memory: 1Gi
    requests:
      cpu: 100m
      memory: 256Mi
  webServerUrlReference: 

clearml:
  agentk8sglueKey: <NEW_KEY>
  agentk8sglueSecret: <NEW_SECRET>
sessions:
  externalIP: 192.168.70.211
  maxServices: 5
  startingPort: 30100
  svcType: NodePort

Python regex error in k8s glue agent :

sre_constants.error: bad inline flags: cannot turn on global flag at position 92

• Issue is in clearml-agent k8s glue codebase (Python 3.6 compatibility)
• Not configuration-related - persists across different HOCON formats
• Affects image tags: 1.24-21 , 1.24-23 , latest

I will get back at you in 15mn if thats ok

Ok will try it

for now:

• name: clearml-access-key
  value: CLEARML8AGENT9KEY1234567890ABCD
  - name: clearml-secret-key
  value: CLEARML-AGENT-SECRET-1234567890ABCDEFGHIJKLMNOPQRSTUVWXYZ123456
  - name: admin-password
  value: clearml123!

Sorry we had a short delay on the deployment but

with these values:

clearml:
  agentk8sglueKey: "8888TMDLWYY7ZQJJ0I7R2X2RSP8XFT"
  agentk8sglueSecret: "oNODbBkDGhcDscTENQyr-GM0cE8IO7xmpaPdqyfsfaWearo1S8EQ8eBOxu-opW8dVUU"
  clearmlConfig: |-
    api {
        web_server: 

        api_server: 

        files_server: 

        credentials {
            "access_key" = "8888TMDLWYY7ZQJJ0I7R2X2RSP8XFT"
            "secret_key" = "oNODbBkDGhcDscTENQyr-GM0cE8IO7xmpaPdqyfsfaWearo1S8EQ8eBOxu-opW8dVUU"
        }
    }

agentk8sglue:
  # Try different image versions to avoid Python 3.6 regex issue
  image:
    repository: allegroai/clearml-agent-k8s-base
    tag: "latest"  # Use latest instead of specific version
    pullPolicy: Always

  # Essential server references
  apiServerUrlReference: "

"
  fileServerUrlReference: "

"
  webServerUrlReference: "

"

  # Disable certificate checking
  clearmlcheckCertificate: false

  # Queue configuration
  queue: default
  createQueueIfNotExists: true

  # Minimal resources
  resources:
    limits:
      cpu: 500m
      memory: 1Gi
    requests:
      cpu: 100m
      memory: 256Mi

sessions:
  svcType: NodePort
  externalIP: 192.168.70.211
  startingPort: 30100
  maxServices: 5
EOF

The following commands

helm repo add clearml 

helm repo update

helm install clearml-agent clearml/clearml-agent \
  --namespace clearml-prod \
  --values clearml-agent-values.yaml \
  --wait \
  --timeout 300s
"clearml" already exists with the same configuration, skipping
Hang tight while we grab the latest from your chart repositories...
...Successfully got an update from the "argo" chart repository
...Successfully got an update from the "clearml" chart repository
...Successfully got an update from the "harbor" chart repository
...Successfully got an update from the "nvidia" chart repository
Update Complete. ⎈Happy Helming!⎈
NAME: clearml-agent
LAST DEPLOYED: Mon Jul 21 15:11:38 2025
NAMESPACE: clearml-prod
STATUS: deployed
REVISION: 1
TEST SUITE: None
NOTES:
Glue Agent deployed.

jcarvalho@kharrinhao:~$ kubectl get pods -n clearml-prod -l app.kubernetes.io/name=clearml-agent
NAME                             READY   STATUS   RESTARTS      AGE
clearml-agent-547584497c-xf98z   0/1     Error    4 (60s ago)   2m8s
jcarvalho@kharrinhao:~$ kubectl logs -n clearml-prod -l app.kubernetes.io/name=clearml-agent
Defaulted container "k8s-glue" out of: k8s-glue, init-k8s-glue (init)
    not nested and not items))
  File "/usr/lib/python3.6/sre_parse.py", line 765, in _parse
    p = _parse_sub(source, state, sub_verbose, nested + 1)
  File "/usr/lib/python3.6/sre_parse.py", line 416, in _parse_sub
    not nested and not items))
  File "/usr/lib/python3.6/sre_parse.py", line 734, in _parse
    flags = _parse_flags(source, state, char)
  File "/usr/lib/python3.6/sre_parse.py", line 803, in _parse_flags
    raise source.error("bad inline flags: cannot turn on global flag", 1)
sre_constants.error: bad inline flags: cannot turn on global flag at position 92 (line 4, column 20)
jcarvalho@kharrinhao:~$

So if you now run helm get values clearml-agent -n <NAMESPACE> where <NAMESPACE> is the value you have in the $NS variable, can you confirm this is the full and only output? Of course the $VARIABLES will have their real value

agentk8sglue:
  # Try newer image version to fix Python 3.6 regex issue
  image:
    repository: allegroai/clearml-agent-k8s-base
    tag: "1.25-1"
    pullPolicy: Always
  apiServerUrlReference: "http://$NODE_IP:30008"
  fileServerUrlReference: "http://$NODE_IP:30081"
  webServerUrlReference: "http://$NODE_IP:30080"
  clearmlcheckCertificate: false
  queue: default
  createQueueIfNotExists: true
  # Keep resources minimal for testing
  resources:
    limits:
      cpu: 500m
      memory: 1Gi
    requests:
      cpu: 100m
      memory: 256Mi
sessions:
  svcType: NodePort
  externalIP: $NODE_IP
  startingPort: 30100
  maxServices: 5

It got an error then backed off

If i run helm get values clearml-agent -n clearml-prod
the output is the following:
USER-SUPPLIED VALUES:
agentk8sglue:
apiServerUrlReference: None
clearmlcheckCertificate: false
createQueueIfNotExists: true
fileServerUrlReference: None
image:
pullPolicy: Always
repository: allegroai/clearml-agent-k8s-base
tag: 1.25-1
queue: default
resources:
limits:
cpu: 500m
memory: 1Gi
requests:
cpu: 100m
memory: 256Mi
webServerUrlReference: None
clearml:
agentk8sglueKey: CLEARML8AGENT9KEY1234567890ABCD
agentk8sglueSecret: CLEARML-AGENT-SECRET-1234567890ABCDEFGHIJKLMNOPQRSTUVWXYZ123456
clearmlConfig: |-
api {
web_server: None
api_server: None
files_server: None
credentials {
"access_key" = "CLEARML8AGENT9KEY1234567890ABCD"
"secret_key" = "CLEARML-AGENT-SECRET-1234567890ABCDEFGHIJKLMNOPQRSTUVWXYZ123456"
}
}
sessions:
externalIP: 192.168.70.211
maxServices: 5
startingPort: 30100
svcType: NodePort

with the values on helm

 helm get values clearml-agent -n clearml-prod
USER-SUPPLIED VALUES:
agentk8sglue:
  apiServerUrlReference: 

  clearmlcheckCertificate: false
  createQueueIfNotExists: true
  fileServerUrlReference: 

  image:
    pullPolicy: Always
    repository: allegroai/clearml-agent-k8s-base
    tag: latest
  queue: default
  resources:
    limits:
      cpu: 500m
      memory: 1Gi
    requests:
      cpu: 100m
      memory: 256Mi
  webServerUrlReference: 

clearml:
  agentk8sglueKey: 8888TMDLWYY7ZQJJ0I7R2X2RSP8XFT
  agentk8sglueSecret: oNODbBkDGhcDscTENQyr-GM0cE8IO7xmpaPdqyfsfaWearo1S8EQ8eBOxu-opW8dVUU
  clearmlConfig: |-
    api {
        web_server: 

        api_server: 

        files_server: 

        credentials {
            "access_key" = "8888TMDLWYY7ZQJJ0I7R2X2RSP8XFT"
            "secret_key" = "oNODbBkDGhcDscTENQyr-GM0cE8IO7xmpaPdqyfsfaWearo1S8EQ8eBOxu-opW8dVUU"
        }
    }
sessions:
  externalIP: 192.168.70.211
  maxServices: 5
  startingPort: 30100
  svcType: NodePort
jcarvalho@kharrinhao:~$

In your last message, you are referring to pod security context and admission controllers enforcing some policies such as a read-only filesystem. Is that the case in your cluster?
Or was this some output of a GPT-like chat? If yes, please do not use LLMs to generate values for the helm installation as they're usually not providing a useful or real config

It's a bit hard for me to provide support here with the additional layer of Argo.
I assume the server is working fine and you can open the clearml UI and log in, right? If yes, would it be possible to extract the Agent part only, out of Argo, and proceed installing it through standard helm?