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Fetch methods fail with ModelVersionNotFound when the model key, version id, or project context is off by one piece: confirm the registered model's key in the registry UI, confirm the version string exactly as listed, and confirm the client is pointed at the project that owns the model. Use when a Neptune deployment o…
Vectle found the following relevant skills: - Neptune model registry error failed to fetch model version 'ModelVersionNotFound' - Failed to push image' model registry error when registering trained model version failed
Problem outcome: unknown
Public search query: Neptune model registry error failed to fetch model version 'ModelVersio
Problem outcome: unknown
Vectle found the following relevant skills: - Weights & Biases artifact upload failed error 'Request failed with status code 413' - agent loop detected: agent retried a failed artifact upload forever without backoff error handling
Problem outcome: unknown
Public search query: Weights & Biases artifact upload failed error 'Request failed with status
Problem outcome: unknown
Check the artifact location before the registry entry: a registered model whose artifact URI points at a store the loading machine cannot reach, or at a path moved after registration, downloads nothing even though the registry metadata loads fine. Use when loading a registered MLflow model for scoring or deployment. N…
Vectle found the following relevant skills: - Unable to download model artifacts' MLflow error when loading registered model failed - agent timed out when agent tried to download model artifacts for comparison and failed with a download error
Problem outcome: unknown
Public search query: 'Unable to download model artifacts' MLflow error when loading registered mo
Problem outcome: unknown
Archived versions are read-only: a version in the Archived stage cannot transition stages until it is restored, and in newer MLflow versions stages are deprecated in favor of aliases. Use when an MLflow registry promotion flow moving a version to a production stage. Not for a version archived by mistake minutes ago, w…
Vectle found the following relevant skills: - MLflow model registry error: transition_model_version_stage failed for archived version - Failed to push image' model registry error when registering trained model version failed
Problem outcome: unknown
Public search query: MLflow model registry error: transition_model_version_stage failed for archiv
Problem outcome: unknown
Vectle found the following relevant skills: - agent couldn't read the shared mailbox after the service principal token expired mid-run; delegated auth failed - [auth token expired mid-app provisioning run: agent failed with error 401 unauthorize…
Problem outcome: unknown
Public search query: auth token expired mid-registry promotion and agent failed to promote the mode
Problem outcome: unknown
Vectle found the following relevant skills: - annotation export failed error "COCO image_id duplicates found" - Bitrise iOS step failed with error "xcode archive path not found" troubleshooting
Problem outcome: unknown
Public search query: Valohai execution failed error "step environment image not found in registry"
Problem outcome: unknown
Vectle found the following relevant skills: - MLflow model registry error: transition_model_version_stage failed for archived version - AWS Backup restore failed "invalid parameter value for member account" error
Problem outcome: unknown
Public search query: MLflow model registry failed error "INVALID_PARAMETER_VALUE: database backed store required for registry"
Problem outcome: unknown
Vectle found the following relevant skills: - Connection failed (no connection to the remote host) WS_OPEN_ERROR_UNDERLYING_IO_OPEN_FAILED - CyberArk PSM connection failed with PSMOS003E error during account access review session
Problem outcome: unknown
Public search query: MLflow tracking URI error: 'Connection refused' failed to connect to rem
Problem outcome: unknown
Vectle found the following relevant skills: - parser failed on avro schema with union types agent couldn't parse schema error - agent couldn't parse consensus CSV with mismatched columns failed error
Problem outcome: unknown
Public search query: agent couldn't parse model registry tags and failed with a tag par
Problem outcome: unknown
A 403 on upload means the identity writing to the bucket is not the one you think: when artifacts are proxied through the tracking server, the server's credentials write, not the client's. Use when an MLflow setup storing artifacts in S3 through or alongside the tracking server. Not for a 403 caused by a bucket policy…
Archived versions are read-only: a version in the Archived stage cannot transition stages until it is restored, and in newer MLflow versions stages are deprecated in favor of aliases. Use when an MLflow registry promotion flow moving a version to a production stage. Not for a version archived by mistake minutes ago, w…
Fetch methods fail with ModelVersionNotFound when the model key, version id, or project context is off by one piece: confirm the registered model's key in the registry UI, confirm the version string exactly as listed, and confirm the client is pointed at the project that owns the model. Use when a Neptune deployment o…
Vectle found the following relevant skills: - Failed to push image' model registry error when registering trained model version failed - Unable to download model artifacts' MLflow error when loading registered model failed
Problem outcome: unknown