jesuino

Hardware:

64 GB RAM - Linux (Fedora)

Qwen3VL-4B-Instruct-Q4_K_M

./llama-server -m /opt/models/Qwen3VL-4B-Instruct-Q4_K_M.gguf \
 --mmproj /opt/models/mmproj-Qwen3VL-4B-Instruct-Q8_0.gguf \

jesuino

I'll help you troubleshoot the localhost resolution issue in your Kind cluster on Podman. Let me search for the most current information about this specific setup. Based on my research, this is a known issue with Podman on Linux. The host.containers.internal and host.docker.internal entries are not being reliably added to /etc/hosts in Kind clusters. Here are the main solutions:

Primary Solutions

1. Network Backend Configuration (Most Common Fix)

The issue is often related to Podman's network backend. Try changing from pasta to slirp4netns:

Edit your ~/.config/containers/containers.conf file:

jesuino

time="2025-12-01T14:17:59.005Z" level=info msg="capturing logs" argo=true
I1201 14:17:59.064603      14 main.go:66] Setting log level to: '1'
I1201 14:17:59.068492      14 cache.go:89] Connecting to cache endpoint ml-pipeline.kubeflow:8887
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
[KFP Executor 2025-12-01 14:18:58,776 INFO]: Looking for component `simple_step` in --component_module_path `/tmp/tmp.1Qm9TBZmcu/ephemeral_component.py`
[KFP Executor 2025-12-01 14:18:58,776 INFO]: Loading KFP component "simple_step" from /tmp/tmp.1Qm9TBZmcu/ephemeral_component.py (directory "/tmp/tmp.1Qm9TBZmcu" and module name "ephemeral_component")
[KFP Executor 2025-12-01 14:18:58,777 INFO]: Got executor_input:
{
    "inputs": {},
    "outputs": {

jesuino

Traceback (most recent call last):
  File "/usr/local/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/usr/local/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/usr/local/lib/python3.10/site-packages/kfp/dsl/executor_main.py", line 109, in <module>
    executor_main()
  File "/usr/local/lib/python3.10/site-packages/kfp/dsl/executor_main.py", line 101, in executor_main
    output_file = executor.execute()
  File "/usr/local/lib/python3.10/site-packages/kfp/dsl/executor.py", line 415, in execute

jesuino

# PIPELINE DEFINITION
# Name: kale-pipeline
# Description: Train a Random Forest classifier on the Iris dataset
# Inputs:
#    max_depth: int [Default: 2.0]
#    n_estimators: int [Default: 500.0]
components:
  comp-evaluate-model-step:
    executorLabel: exec-evaluate-model-step
    inputDefinitions:

jesuino

apiVersion: v1
kind: Secret
metadata:
  name: devpi-secret
  namespace: kubeflow
type: Opaque
data:
  password: ''
--
apiVersion: v1

jesuino

$ kale --nb ./examples/base/candies_sharing.ipynb --kfp_host http://127.0.0.1:8080 --run_pipeline
2025-11-07 11:59:08 Kale podutils:255         [INFO]     Getting the base image of container...
2025-11-07 11:59:08 Kale kfutils:70           [INFO]     Retrieving PodDefaults applied to server...
2025-11-07 11:59:08 Kale kale                 [WARNING]  Could not retrieve PodDefaults. Reason: [Errno 2] No such file or directory: '/var/run/secrets/kubernetes.io/serviceaccount/namespace'
2025-11-07 11:59:08 Kale kale                 [INFO]     Compiling Pipeline into KFP DSL code
2025-11-07 11:59:08 Kale kale                 [INFO]     Saving generated code in /home/wsiqueir/projects/kale/.kale
2025-11-07 11:59:08 Kale kale                 [INFO]     Successfully saved generated code: /home/wsiqueir/projects/kale/.kale/kale-pipeline.kale.py
dsl_script_path: /home/wsiqueir/projects/kale/.kale/kale-pipeline.kale.py
/home/wsiqueir/projects/kale/.venv/lib/python3.10/site-packages/kfp/client/client.py:159: FutureWarning

jesuino

diff --git a/labextension/src/lib/CellUtils.ts b/labextension/src/lib/CellUtils.ts
index 2424b76..102b297 100644
--- a/labextension/src/lib/CellUtils.ts
+++ b/labextension/src/lib/CellUtils.ts
@@ -8,8 +8,6 @@ import {
 } from '@jupyterlab/nbformat';
 import { Notebook, NotebookActions, NotebookPanel } from '@jupyterlab/notebook';
 import { PartialJSONObject } from '@lumino/coreutils';
-// Project Components
-import NotebookUtilities from './NotebookUtils';

jesuino

diff --git a/labextension/src/widgets/LeftPanel.tsx b/labextension/src/widgets/LeftPanel.tsx
index 27e55be..fcf3145 100644
--- a/labextension/src/widgets/LeftPanel.tsx
+++ b/labextension/src/widgets/LeftPanel.tsx
@@ -34,6 +34,7 @@ import Commands from '../lib/Commands';
 import { PageConfig } from '@jupyterlab/coreutils';
 
 const KALE_NOTEBOOK_METADATA_KEY = 'kubeflow_notebook';
+const DEFAULT_EXPERIMENT_NAME = 'Default';
 

jesuino

diff --git a/labextension/src/components/Input.tsx b/labextension/src/components/Input.tsx
index 457b84d..044b0be 100644
--- a/labextension/src/components/Input.tsx
+++ b/labextension/src/components/Input.tsx
@@ -1,173 +1,3 @@
-// /*
-//  * Copyright 2020 The Kale Authors
-//  *
-//  * Licensed under the Apache License, Version 2.0 (the "License");
-//  * you may not use this file except in compliance with the License.