list_jobs fails for both BatchEndpointOperations and BatchDeploymentOperations

[sharmuz]

• Package Name: azure-ai-ml
• Package Version: 1.30.0
• Operating System: macOS 26.2 Tahoe
• Python Version: 3.12.10

Describe the bug
The list_jobs method for both BatchEndpointOperations and BatchDeploymentOperations seems to always fail with an invalid request error.

To Reproduce

import os

from azure.ai.ml import MLClient
from azure.identity import AzureCliCredential


if __name__ == "__main__":
    ml_client = MLClient(
        credential=AzureCliCredential(),
        subscription_id=os.environ["AZURE_SUBSCRIPTION_ID"],
        resource_group_name=os.environ["AZURE_RESOURCE_GROUP"],
        workspace_name=os.environ["AZURE_ML_WORKSPACE"],
        enable_telemetry=False,
    )

    jobs = ml_client.batch_endpoints.list_jobs(endpoint_name="my-endpoint")
    print(list(jobs))

Expected behavior
Function returns an iterator of BatchJobs per doc for BatchEndpointOperations and doc for BatchDeploymentOperations

Screenshots Output

Class DeploymentTemplateOperations: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Traceback (most recent call last):
  File "/Users/person/Library/Application Support/uv/python/cpython-3.12.10-macos-x86_64-none/lib/python3.12/runpy.py", line 198, in _run_module_as_main
    return _run_code(code, main_globals, None,
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/person/Library/Application Support/uv/python/cpython-3.12.10-macos-x86_64-none/lib/python3.12/runpy.py", line 88, in _run_code
    exec(code, run_globals)
  File "/Users/person/.vscode/extensions/ms-python.debugpy-2025.19.2026012701-darwin-x64/bundled/libs/debugpy/adapter/../../debugpy/launcher/../../debugpy/__main__.py", line 71, in <module>
    cli.main()
  File "/Users/person/.vscode/extensions/ms-python.debugpy-2025.19.2026012701-darwin-x64/bundled/libs/debugpy/adapter/../../debugpy/launcher/../../debugpy/../debugpy/server/cli.py", line 508, in main
    run()
  File "/Users/person/.vscode/extensions/ms-python.debugpy-2025.19.2026012701-darwin-x64/bundled/libs/debugpy/adapter/../../debugpy/launcher/../../debugpy/../debugpy/server/cli.py", line 358, in run_file
    runpy.run_path(target, run_name="__main__")
  File "/Users/person/.vscode/extensions/ms-python.debugpy-2025.19.2026012701-darwin-x64/bundled/libs/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 310, in run_path
    return _run_module_code(code, init_globals, run_name, pkg_name=pkg_name, script_name=fname)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/person/.vscode/extensions/ms-python.debugpy-2025.19.2026012701-darwin-x64/bundled/libs/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 127, in _run_module_code
    _run_code(code, mod_globals, init_globals, mod_name, mod_spec, pkg_name, script_name)
  File "/Users/person/.vscode/extensions/ms-python.debugpy-2025.19.2026012701-darwin-x64/bundled/libs/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 118, in _run_code
    exec(code, run_globals)
  File "/Users/person/code/pipelines/check_job.py", line 22, in <module>
    jobs = ml_client.batch_endpoints.list_jobs(endpoint_name=ENDPOINT_NAME)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/person/code/.venv/lib/python3.12/site-packages/azure/core/tracing/decorator.py", line 119, in wrapper_use_tracer
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/Users/person/code/.venv/lib/python3.12/site-packages/azure/ai/ml/_telemetry/activity.py", line 288, in wrapper
    return f(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^
  File "/Users/person/code/.venv/lib/python3.12/site-packages/azure/ai/ml/operations/_batch_endpoint_operations.py", line 439, in list_jobs
    return list(result)
           ^^^^^^^^^^^^
  File "/Users/person/code/.venv/lib/python3.12/site-packages/azure/core/paging.py", line 136, in __next__
    return next(self._page_iterator)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/person/code/.venv/lib/python3.12/site-packages/azure/core/paging.py", line 82, in __next__
    self._response = self._get_next(self.continuation_token)
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/person/code/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/v2020_09_01_dataplanepreview/operations/_batch_job_endpoint_operations.py", line 276, in get_next
    raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
azure.core.exceptions.HttpResponseError: Operation returned an invalid status 'Invalid Request Uri. Format error!'
Content: {
  "error": {
    "code": "UserError",
    "severity": null,
    "message": "Invalid Request Uri. Format error!",
    "messageFormat": "Invalid Request Uri. {detailMessage}",
    "messageParameters": {
      "detailMessage": "Format error!"
    },
    "referenceCode": null,
    "detailsUri": null,
    "target": null,
    "details": [],
    "innerError": {
      "code": "BadArgument",
      "innerError": {
        "code": "ArgumentInvalid",
        "innerError": {
          "code": "InvalidRequestUri",
          "innerError": null
        }
      }
    },
    "debugInfo": null,
    "additionalInfo": null
  },
  "correlation": {
    "operation": "7ee657ffcdbcee19e2d3244890778d5a",
    "request": "4660ff8161351202"
  },
  "environment": "eastus2",
  "location": "eastus2",
  "time": "2026-02-16T11:13:15.1908436+00:00",
  "componentName": "Designer-MiddleTier-Service",
  "statusCode": 400
}

Additional context
JobOperations.list works fine - though of course this lists all jobs in the workspace, so requires user to filter.

[terminalx0]

The GitHub link you shared shows that you are not the only person hitting this wall. It confirms that the code is looking for specific voice files that simply are not available to the public right now. When you see a 404 or 401 error for those "safetensors" files, it means the server is blocking access on purpose.

The reason your audio sounds like noise is that you are using a standard encoder. The 1.6B model is looking for a very specific "map" of how a voice sounds, and only Kyutai’s private encoder knows how to draw that map. Without those secret weights, the model cannot understand the custom audio you are trying to give it.

For now, you cannot use your own MP3 files with the 1.6B model on your own computer. You can only use the pre-built voices they have already released. If you really need a custom voice for your assistant today, you might have to use a different TTS program to generate the speech first and then send that audio to your assistant.

Kyutai has kept these tools private to make sure they are used safely. Until they decide to release the "voice cloning" weights to everyone, the self-hosted version of Moshi will stay limited to the standard voices. I know this is frustrating when the version on their website works so well, but it is a limit they have put in place for now.

yours sincerly,
ams688