ah, these ports are taken on my machine so I mapped the fileserver, apiserver and webserver ports.

how about the clearml api, file and web servers?

I resolve the original error message, but now, I can' access the webserver, None . The webserver log has:

Updating configuration from env
Updating configuration from env
Updating configuration from env
Updating configuration from env
Updating configuration from env

any thoughts?

I got past that error by setting the default_queue in the pipeline.decorator. also set_default_execution_queue

any idea what this means?

{"timestamp":"2025-03-06T22:26:20Z","level":"INFO","msg":"No repository found, storing script code instead","file":"scriptinfo.py","line":"1087","module":"scriptinfo","func":"_get_script_info",}
{"timestamp":"2025-03-06T22:26:22Z","level":"WARNING","msg":"Could not fetch full definition of function upload_video_task: 'Attribute' object has no attribute 'id'","file":"populate.py","line":"1177","module":"populate","func":"__get_source_with_decorators",}
{"timestamp":"...

perfect! I've also scheduled a demo since we are planning on acquiring the Enterprise license.

The are also set in the clearml.conf file

I am running a docker-compose based on the one in the server sample:

version: "3.9"
services:

  apiserver:
    command:
      - apiserver
    container_name: clearml-apiserver
    image: allegroai/clearml  # Match your SDK version
    restart: unless-stopped
    volumes:
      - clearml_logs:/var/log/clearml
      - clearml_config:/opt/clearml/config
      - clearml_data_fileserver:/mnt/fileserver
    depends_on:
      - redis
      - mongo
      - elasticsearch
      - fileserver
   ...

do I need to run the agent with this pipeline?