I also made an dummy-agent pod by taking the deployment manifest and changing it so that the pod created sleeps instead of running trains-agent in its main process.
I then the installations manually and then run your command
apt-get update ; apt-get install -y curl python3-pip git; curl -sSL | sh ; python3 -m pip install -U pip ; python3 -m pip install trains-agent ; TRAINS_DOCKER_SKIP_GPUS_FLAG=1 TRAINS_AGENT_K8S_HOST_MOUNT=/root/.trains:/root/.trains trains-agent daemon --docker --force-current-versionHere is the output (now its not complaining about an identical worker id running) but the UI stills shows nothing
` Current configuration (trains_agent v0.16.1, location: /root/trains.conf):

agent.worker_id =
agent.worker_name = dummy-agent
agent.force_git_ssh_protocol = false
agent.python_binary =
agent.package_manager.type = pip
agent.package_manager.pip_version = <20.2
agent.package_manager.system_site_packages = false
agent.package_manager.force_upgrade = false
agent.package_manager.conda_channels.0 = defaults
agent.package_manager.conda_channels.1 = conda-forge
agent.package_manager.conda_channels.2 = pytorch
agent.package_manager.torch_nightly = false
agent.venvs_dir = /root/.trains/venvs-builds.1
agent.vcs_cache.enabled = true
agent.vcs_cache.path = /root/.trains/vcs-cache.1
agent.venv_update.enabled = false
agent.pip_download_cache.enabled = true
agent.pip_download_cache.path = /root/.trains/pip-download-cache
agent.translate_ssh = true
agent.reload_config = false
agent.docker_pip_cache = /root/.trains/pip-cache
agent.docker_apt_cache = /root/.trains/apt-cache.1
agent.docker_force_pull = false
agent.default_docker.image = nvidia/cuda:10.1-runtime-ubuntu18.04
agent.default_python = 3.8
agent.cuda_version = 111
agent.cudnn_version = 0
api.version = 1.5
api.verify_certificate = true
api.default_version = 1.5
api.http.max_req_size = 15728640
api.http.retries.total = 240
api.http.retries.connect = 240
api.http.retries.read = 240
api.http.retries.redirect = 240
api.http.retries.status = 240
api.http.retries.backoff_factor = 1.0
api.http.retries.backoff_max = 120.0
api.http.wait_on_maintenance_forever = true
api.http.pool_maxsize = 512
api.http.pool_connections = 512
api.api_server =
sdk.storage.cache.default_base_dir = ~/.trains/cache
sdk.storage.cache.size.min_free_bytes = 10GB
sdk.storage.direct_access.0.url = file://*
sdk.metrics.file_history_size = 100
sdk.metrics.matplotlib_untitled_history_size = 100
sdk.metrics.images.format = JPEG
sdk.metrics.images.quality = 87
sdk.metrics.images.subsampling = 0
sdk.metrics.tensorboard_single_series_per_graph = false
sdk.network.metrics.file_upload_threads = 4
sdk.network.metrics.file_upload_starvation_warning_sec = 120
sdk.network.iteration.max_retries_on_server_error = 5
sdk.network.iteration.retry_backoff_factor_sec = 10
sdk.aws.s3.key =
sdk.aws.s3.region =
sdk.aws.boto3.pool_connections = 512
sdk.aws.boto3.max_multipart_concurrency = 16
sdk.log.null_log_propagate = false
sdk.log.task_log_buffer_capacity = 66
sdk.log.disable_urllib3_info = true
sdk.development.task_reuse_time_window_in_hours = 72.0
sdk.development.vcs_repo_detect_async = true
sdk.development.store_uncommitted_code_diff = true
sdk.development.support_stopping = true
sdk.development.default_output_uri =
sdk.development.force_analyze_entire_repo = false
sdk.development.suppress_update_message = false
sdk.development.detect_with_pip_freeze = false
sdk.development.worker.report_period_sec = 2
sdk.development.worker.ping_period_sec = 30
sdk.development.worker.log_stdout = true
sdk.development.worker.report_global_mem_used = false

Worker "dummy-agent:gpuall" - Listening to queues:
+----------------------------------+---------+-------+
| id | name | tags |
+----------------------------------+---------+-------+
| 3b853e1c7c864789ac9f4cf55312348d | default | |
+----------------------------------+---------+-------+

Running in Docker mode (v19.03 and above) - using default docker image: nvidia/cuda:10.1-runtime-ubuntu18.04 running python3

Failed creating temporary copy of ~/.ssh for git credential
Running TRAINS-AGENT daemon in background mode, writing stdout/stderr to /tmp/.trains_agent_daemon_outrhomu1ms.txt `