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chore: regenerate client from OpenAPI spec
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‎.openapi-generator/FILES‎

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docs/CreateWorkspaceRequest.md
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docs/CreateWorkspaceResponse.md
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docs/DatasetSource.md
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docs/DatasetSourceOneOf.md
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docs/DatasetSourceOneOf1.md
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docs/DatasetSourceOneOf2.md
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docs/DatasetSourceOneOf3.md
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docs/DatasetSourceOneOf4.md
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docs/DatasetSummary.md
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docs/DatasetVersionSummary.md
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docs/DatasetsApi.md
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hotdata/models/create_workspace_request.py
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hotdata/models/create_workspace_response.py
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hotdata/models/dataset_source.py
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hotdata/models/dataset_source_one_of.py
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hotdata/models/dataset_source_one_of1.py
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hotdata/models/dataset_source_one_of2.py
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hotdata/models/dataset_source_one_of3.py
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hotdata/models/dataset_source_one_of4.py
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hotdata/models/dataset_summary.py
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hotdata/models/dataset_version_summary.py
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hotdata/models/delete_sandbox_response.py
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pyproject.toml
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requirements.txt
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setup.cfg
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setup.py
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test-requirements.txt
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test/__init__.py
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test/test_create_sandbox_request.py
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test/test_delete_sandbox_response.py
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test/test_list_sandboxes_response.py
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test/test_sandbox.py
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test/test_sandbox_response.py
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test/test_sandboxes_api.py
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test/test_update_sandbox_request.py
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test/test_dataset_source_one_of2.py
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test/test_dataset_source_one_of3.py
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test/test_dataset_source_one_of4.py
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tox.ini

‎docs/CreateIndexRequest.md‎

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**var_async** | **bool** | When true, create the index as a background job and return a job ID for polling. | [optional]
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**columns** | **List[str]** | Columns to index. Required for all index types. |
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**description** | **str** | User-facing description of the embedding (e.g., \"product descriptions\"). | [optional]
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**dimensions** | **int** | Output vector dimensions. Some models support multiple dimension sizes (e.g., OpenAI text-embedding-3-small supports 512 or 1536). If omitted, the model's default dimensions are used. | [optional]
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**dimensions** | **int** | Output vector dimensions. Some models support multiple dimension sizes (e.g., OpenAI text-embedding-3-small supports 512 or 1536). If omitted, the model's default dimensions are used | [optional]
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**embedding_provider_id** | **str** | Embedding provider ID. When set for a vector index, the source column is treated as text and embeddings are generated automatically. The vector index is then built on the generated embedding column (`{column}_embedding` by default). | [optional]
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**index_name** | **str** | |
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**index_type** | **str** | Index type: \"sorted\" (default), \"bm25\", or \"vector\" | [optional]

‎docs/DatasetSource.md‎

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# DatasetSource
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Dataset source specification
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Dataset source specification. Internally tagged on `type`, e.g. `{\"type\": \"upload\", \"upload_id\": \"...\"}`. Discriminator values: `upload`, `saved_query`, `sql_query`, `url`, `inline`.
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## Properties
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**columns** | **Dict[str, str]** | Optional explicit column definitions. Keys are column names, values are type specs. | [optional]
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**format** | **str** | | [optional]
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**upload_id** | **str** | |
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**type** | **str** | |
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**saved_query_id** | **str** | |
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**version** | **int** | | [optional]
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**description** | **str** | Optional description for the auto-created saved query. | [optional]

‎docs/DatasetSourceOneOf.md‎

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# DatasetSourceOneOf
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Create from a previously uploaded file
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## Properties
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Name | Type | Description | Notes
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------------ | ------------- | ------------- | -------------
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**columns** | [**Dict[str, ColumnDefinition]**](ColumnDefinition.md) | Optional explicit column definitions. Keys are column names, values are type specs. When provided, the schema is built from these definitions instead of being inferred. | [optional]
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**format** | **object** | | [optional]
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**columns** | **Dict[str, str]** | Optional explicit column definitions. Keys are column names, values are type specs. When provided, the schema is built from these definitions instead of being inferred. | [optional]
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**format** | **str** | | [optional]
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**upload_id** | **str** | |
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**type** | **str** | |
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## Example
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‎docs/DatasetSourceOneOf1.md‎

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# DatasetSourceOneOf1
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Create from inline data (small payloads)
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## Properties
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Name | Type | Description | Notes
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------------ | ------------- | ------------- | -------------
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**inline** | [**InlineData**](InlineData.md) | |
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**saved_query_id** | **str** | |
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**version** | **int** | | [optional]
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**type** | **str** | |
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## Example
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‎docs/DatasetSourceOneOf2.md‎

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# DatasetSourceOneOf2
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## Properties
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Name | Type | Description | Notes
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------------ | ------------- | ------------- | -------------
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**description** | **str** | Optional description for the auto-created saved query. | [optional]
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**name** | **str** | Optional name for the auto-created saved query. Defaults to the dataset label. | [optional]
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**sql** | **str** | |
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**type** | **str** | |
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## Example
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```python
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from hotdata.models.dataset_source_one_of2 import DatasetSourceOneOf2
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# TODO update the JSON string below
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json = "{}"
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# create an instance of DatasetSourceOneOf2 from a JSON string
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dataset_source_one_of2_instance = DatasetSourceOneOf2.from_json(json)
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# print the JSON string representation of the object
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print(DatasetSourceOneOf2.to_json())
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# convert the object into a dict
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dataset_source_one_of2_dict = dataset_source_one_of2_instance.to_dict()
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# create an instance of DatasetSourceOneOf2 from a dict
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dataset_source_one_of2_from_dict = DatasetSourceOneOf2.from_dict(dataset_source_one_of2_dict)
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```
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[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
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‎docs/DatasetSourceOneOf3.md‎

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# DatasetSourceOneOf3
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## Properties
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Name | Type | Description | Notes
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------------ | ------------- | ------------- | -------------
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**columns** | **Dict[str, str]** | Optional explicit column definitions. Keys are column names, values are type specs. | [optional]
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**format** | **str** | | [optional]
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**url** | **str** | |
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**type** | **str** | |
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## Example
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```python
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from hotdata.models.dataset_source_one_of3 import DatasetSourceOneOf3
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# TODO update the JSON string below
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json = "{}"
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# create an instance of DatasetSourceOneOf3 from a JSON string
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dataset_source_one_of3_instance = DatasetSourceOneOf3.from_json(json)
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# print the JSON string representation of the object
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print(DatasetSourceOneOf3.to_json())
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# convert the object into a dict
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dataset_source_one_of3_dict = dataset_source_one_of3_instance.to_dict()
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# create an instance of DatasetSourceOneOf3 from a dict
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dataset_source_one_of3_from_dict = DatasetSourceOneOf3.from_dict(dataset_source_one_of3_dict)
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```
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[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
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‎docs/DatasetSourceOneOf4.md‎

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# DatasetSourceOneOf4
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## Properties
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------------ | ------------- | ------------- | -------------
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**inline** | [**InlineData**](InlineData.md) | |
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**type** | **str** | |
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## Example
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```python
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from hotdata.models.dataset_source_one_of4 import DatasetSourceOneOf4
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# TODO update the JSON string below
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json = "{}"
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# create an instance of DatasetSourceOneOf4 from a JSON string
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dataset_source_one_of4_instance = DatasetSourceOneOf4.from_json(json)
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# print the JSON string representation of the object
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print(DatasetSourceOneOf4.to_json())
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# convert the object into a dict
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dataset_source_one_of4_dict = dataset_source_one_of4_instance.to_dict()
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# create an instance of DatasetSourceOneOf4 from a dict
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dataset_source_one_of4_from_dict = DatasetSourceOneOf4.from_dict(dataset_source_one_of4_dict)
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```
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[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
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