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
    environment:
      CLEARML_API_HOST: 

  # Internal reference
      CLEARML_WEB_HOST: 

  # Internal reference
      CLEARML_FILES_HOST: 

  # Internal reference
      CLEARML_ELASTIC_SERVICE_HOST: elasticsearch
      CLEARML_ELASTIC_SERVICE_PORT: 9200
      CLEARML_MONGODB_SERVICE_HOST: mongo
      CLEARML_MONGODB_SERVICE_PORT: 27017
      CLEARML_REDIS_SERVICE_HOST: redis
      CLEARML_REDIS_SERVICE_PORT: 6379
      CLEARML_SERVER_DEPLOYMENT_TYPE: linux
      CLEARML__apiserver__pre_populate__enabled: "true"
      CLEARML__apiserver__pre_populate__zip_files: "/opt/clearml/db-pre-populate"
      CLEARML__apiserver__pre_populate__artifacts_path: "/mnt/fileserver"
      CLEARML__services__async_urls_delete__enabled: "true"
      CLEARML__services__async_urls_delete__fileserver__url_prefixes: "[${CLEARML_FILES_HOST:-}]"
      CLEARML__secure__credentials__services_agent__user_key: ${CLEARML_AGENT_ACCESS_KEY:-}
      CLEARML__secure__credentials__services_agent__user_secret: ${CLEARML_AGENT_SECRET_KEY:-}
    ports:
      - "9008:8008"
    networks:
      - backend
      - frontend

  elasticsearch:
    networks:
      - backend
    container_name: clearml-elastic
    environment:
      - bootstrap.memory_lock=true
      - cluster.name=clearml
      - cluster.routing.allocation.node_initial_primaries_recoveries=500
      - cluster.routing.allocation.disk.watermark.low=500mb
      - cluster.routing.allocation.disk.watermark.high=500mb
      - cluster.routing.allocation.disk.watermark.flood_stage=500mb
      - ES_JAVA_OPTS=-Xms4g -Xmx4g
      - discovery.type=single-node
      - http.compression_level=7
      - node.name=clearml
      - reindex.remote.whitelist="'*.*'"
      - xpack.security.enabled=false
    ulimits:
      memlock:
        soft: -1
        hard: -1
      nofile:
        soft: 65536
        hard: 65536
    image: elasticsearch:8.17.0
    restart: unless-stopped
    volumes:
      - clearml_data_elastic:/usr/share/elasticsearch/data
      - clearml_logs:/usr/share/elasticsearch/logs

  fileserver:
    networks:
      - backend
      - frontend
    command:
      - fileserver
    container_name: clearml-fileserver
    image: allegroai/clearml
    environment:
      CLEARML_API_HOST: 

  # Internal reference
      CLEARML_WEB_HOST: 

  # Internal reference
      CLEARML_FILES_HOST: 

  # Internal reference
      CLEARML__fileserver__delete__allow_batch: "true"
    restart: unless-stopped
    volumes:
      - clearml_logs:/var/log/clearml
      - clearml_data_fileserver:/mnt/fileserver
      - clearml_config:/opt/clearml/config
    ports:
      - "9081:8081"

  mongo:
    networks:
      - backend
    container_name: clearml-mongo
    image: mongo:6.0.19
    restart: unless-stopped
    command: --setParameter internalQueryMaxBlockingSortMemoryUsageBytes=196100200
    volumes:
      - clearml_data_mongo_db:/data/db
      - clearml_data_mongo_configdb:/data/configdb

  redis:
    networks:
      - backend
    container_name: clearml-redis
    image: redis:7.4.1
    restart: unless-stopped
    volumes:
      - clearml_data_redis:/data

  webserver:
    command:
      - webserver
    container_name: clearml-webserver
    image: allegroai/clearml
    restart: unless-stopped
    depends_on:
      - apiserver
    environment:
      CLEARML_API_HOST: 

  # Internal reference
      CLEARML_WEB_HOST: 

  # Internal reference
      CLEARML_FILES_HOST: 

  # Internal reference
    ports:
      - "9080:8080"
    networks:
      - backend
      - frontend

  async_delete:
    depends_on:
      - apiserver
      - redis
      - mongo
      - elasticsearch
      - fileserver
    container_name: async_delete
    image: allegroai/clearml
    networks:
      - backend
    restart: unless-stopped
    environment:
      CLEARML_API_HOST: 

  # Internal reference
      CLEARML_WEB_HOST: 

  # Internal reference
      CLEARML_FILES_HOST: 

  # Internal reference
      CLEARML_ELASTIC_SERVICE_HOST: elasticsearch
      CLEARML_ELASTIC_SERVICE_PORT: 9200
      CLEARML_MONGODB_SERVICE_HOST: mongo
      CLEARML_MONGODB_SERVICE_PORT: 27017
      CLEARML_REDIS_SERVICE_HOST: redis
      CLEARML_REDIS_SERVICE_PORT: 6379
      PYTHONPATH: /opt/clearml/apiserver
      CLEARML__services__async_urls_delete__fileserver__url_prefixes: "[${CLEARML_FILES_HOST:-}]"
    entrypoint:
      - python3
      - -m
      - jobs.async_urls_delete
      - --fileserver-host
      - 

  # Internal reference
    volumes:
      - clearml_logs:/var/log/clearml
      - clearml_config:/opt/clearml/config

  agent-services:
    networks:
      - backend
    container_name: clearml-agent-services
    image: allegroai/clearml-agent-services
    deploy:
      restart_policy:
        condition: on-failure
    privileged: true
    environment:
#      CLEARML_HOST_IP: ${CLEARML_HOST_IP:-localhost}
      CLEARML_WEB_HOST: 

  # Internal reference
      CLEARML_API_HOST: 

  # Internal reference
      CLEARML_FILES_HOST: 

  # Internal reference
      CLEARML_API_ACCESS_KEY: ${CLEARML_AGENT_ACCESS_KEY:-$CLEARML_API_ACCESS_KEY}
      CLEARML_API_SECRET_KEY: ${CLEARML_AGENT_SECRET_KEY:-$CLEARML_API_SECRET_KEY}
      CLEARML_WORKER_NAME: "clearml-agent-services"
      CLEARML_AGENT_QUEUES: "default"  # Match pipeline queue
      CLEARML_AGENT_DEFAULT_BASE_DOCKER: "python:3.12-slim"  # Match your Python env
      CLEARML_AGENT_GIT_USER: ${CLEARML_AGENT_GIT_USER:-}  # Optional, for repo access
      CLEARML_AGENT_GIT_PASS: ${CLEARML_AGENT_GIT_PASS:-}  # Optional, for repo access
      AWS_ACCESS_KEY_ID: ${AWS_ACCESS_KEY_ID:-}
      AWS_SECRET_ACCESS_KEY: ${AWS_SECRET_ACCESS_KEY:-}
      AWS_DEFAULT_REGION: ${AWS_DEFAULT_REGION:-}
      SHUTDOWN_IF_NO_ACCESS_KEY: "1"
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock
      - clearml_agent:/root/.clearml
    depends_on:
      - apiserver
    entrypoint: >
      bash -c "curl --retry 10 --retry-delay 10 --retry-connrefused '

' && /usr/agent/entrypoint.sh"

networks:
  backend:
    driver: bridge
  frontend:
    driver: bridge

volumes:
  clearml_logs:
  clearml_config:
  clearml_data_fileserver:
  clearml_data_elastic:
  clearml_data_mongo_db:
  clearml_data_mongo_configdb:
  clearml_data_redis:
  clearml_agent:

my pipeline decorator is:

@PipelineDecorator.pipeline(
    name="Run Video Encoder Pipeline",
    project="Video Encoder Project",
    version="0.1.0",
    return_value="encoding_detail_report",
    repo="git@github.com:LiveViewTech/video_encoding_service.git",
    repo_branch="main",
    default_queue="default",
)

I am setting up an initial task and invoking the pipeline function:

# Initialize ClearML task, connecting to local server
task = Task.init(
    project_name="Video Encoder Project",
    task_name="Run Video Encoder Pipeline",
)
task.set_repo(repo="git@github.com:LiveViewTech/video_encoding_service.git", branch="main")
PipelineDecorator.set_default_execution_queue("default")
pipe.start()

Here is the api section of my clearml.conf filer:

api {
    # Notice: 'host' is the api server (default port 8008), not the web server.
    api_server: 

    web_server: 

    file_server: 

    # Credentials are generated using the webapp, 

    # Override with os environment: CLEARML_API_ACCESS_KEY / CLEARML_API_SECRET_KEY
    credentials {
        "access_key": "215M9OS00JVS6UXJ6HO2MJ64IN0R6T",
        "secret_key": "pjR3FatZ9Cda6t0hWIHU4dYKnrn8fkeB5774SziELaxpxCHwZKEupJEYrtlQug8w5VM"
    }
}