GetAiProjectThreadResponseFilesInner

pydantic model openapi_client.models.get_ai_project_thread_response_files_inner.GetAiProjectThreadResponseFilesInner

GetAiProjectThreadResponseFilesInner

Fields:
field file_name: Optional[StrictStr] = None (alias 'FileName')

Name of the uploaded file.

field file_size: Optional[StrictInt] = None (alias 'FileSize')

Size of the file in bytes.

field file_type: Optional[StrictStr] = None (alias 'FileType')

Media type guessed from the file name, or application/octet-stream when it cannot be determined.

field upload_time: Optional[StrictStr] = None (alias 'UploadTime')

When the file finished uploading, in UTC.

field sync_status: Optional[StrictStr] = None (alias 'SyncStatus')

Whether the file has been indexed for retrieval. Files start as INDEXING on upload.

field last_synced_time: Optional[StrictStr] = None (alias 'LastSyncedTime')

When the file was last indexed, in UTC. Empty until the first sync finishes.

field last_synced_status: Optional[StrictStr] = None (alias 'LastSyncedStatus')

Outcome of the last indexing attempt, or “N/A” before the first one.

to_str()

Returns the string representation of the model using alias

Return type:

str

to_json()

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)

Create an instance of GetAiProjectThreadResponseFilesInner from a JSON string

Return type:

Optional[Self]

to_dict()

Return the dictionary representation of the model using alias.

This has the following differences from calling pydantic’s self.model_dump(by_alias=True):

  • None is only added to the output dict for nullable fields that were set at model initialization. Other fields with value None are ignored.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of GetAiProjectThreadResponseFilesInner from a dict

Return type:

Optional[Self]