> For the complete documentation index, see [llms.txt](https://docs.earthscale.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.earthscale.ai/python-api/changelog.md).

# Changelog

All notable changes to the `earthscale` client package are documented here.

## 0.16.0

### New Features

* **Dataset listing now supports filtering.** `list_datasets()` accepts `name`, `tags`, `bbox`, `created_after`, `created_before`, and `limit` parameters to narrow results. All filters use AND logic.
* **New `iter_datasets()` method** for iterating over large result sets with automatic cursor-based pagination. This is the recommended way to list datasets.
* **New `PaginatedListDatasetResponse` model** for cursor-based pagination, exposed at the top level.

### Changes

* `ListDatasetResponse` now includes an `updated_at` field.
* `list_datasets(limit=...)` and `iter_datasets(page_size=...)` now raise `ValueError` if the value is outside the 1–1000 range.

### Fixes

* Fixed `ListDatasetResponse.tags` docstring (was incorrectly labeled as "labels").

## 0.15.1

### New Features

* Support `tags` on datasets as key-value pairs, deprecating `labels`.
* Add `AddDatasetRequest.tags` field; `labels` is now deprecated.
* Add `AddDatasetResponse.dataset_version_id` field.
* Pretty-print client models using JSON in IPython environments.

### Fixes

* Fix type handling in client for doc generation.
* Nicer error handling for forbidden errors.

## 0.15.0

### New Features

* OAuth login flow with auto-detected free port.
* Log which servers are used on client init.

### Fixes

* Fix a type warning in the CLI.

## 0.14.2

### New Features

* Add `pixel_info_url` to `TileServer` response.

### Fixes

* Correctly pass in credentials file.

## 0.14.0

### New Features

* Add proxy support in client.

### Changes

* Improve client docstrings.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.earthscale.ai/python-api/changelog.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.