Add support for paginated results in list methods

README.md

@@ -165,6 +165,15 @@ replicate.predictions.list()
 # [<Prediction: 8b0ba5ab4d85>, <Prediction: 494900564e8c>]
 ```
 
+Lists of predictions are paginated. You can get the next page of predictions by passing the `next` property as an argument to the `list` method:
+
+```python
+page1 = replicate.predictions.list()
+
+if page1.next:
+    page2 = replicate.predictions.list(page1.next)
+```
+
 ## Load output files
 
 Output files are returned as HTTPS URLs. You can load an output file as a buffer:

replicate/hardware.py

@@ -28,10 +28,10 @@ class Hardwares(Namespace):
 
     def list(self) -> List[Hardware]:
         """
-        List all public models.
+        List all hardware available for you to run models on Replicate.
 
         Returns:
-            A list of models.
+            List[Hardware]: A list of hardware.
         """
 
         resp = self._client._request("GET", "/v1/hardware")

replicate/model.py

@@ -1,8 +1,9 @@
-from typing import Dict, List, Optional, Union
+from typing import Dict, Optional, Union
 
 from typing_extensions import deprecated
 
 from replicate.exceptions import ReplicateException
+from replicate.pagination import Page
 from replicate.prediction import Prediction
 from replicate.resource import Namespace, Resource
 from replicate.version import Version, Versions
@@ -123,18 +124,23 @@ class Models(Namespace):
 
     model = Model
 
-    def list(self) -> List[Model]:
+    def list(self, cursor: Union[str, "ellipsis"] = ...) -> Page[Model]:  # noqa: F821
         """
         List all public models.
 
+        Parameters:
+            cursor: The cursor to use for pagination. Use the value of `Page.next` or `Page.previous`.
         Returns:
-            A list of models.
+            Page[Model]: A page of of models.
+        Raises:
+            ValueError: If `cursor` is `None`.
         """
 
-        resp = self._client._request("GET", "/v1/models")
-        # TODO: paginate
-        models = resp.json()["results"]
-        return [self._prepare_model(obj) for obj in models]
+        if cursor is None:
+            raise ValueError("cursor cannot be None")
+
+        resp = self._client._request("GET", "/v1/models" if cursor is ... else cursor)
+        return Page[Model](self._client, self, **resp.json())
 
     def get(self, key: str) -> Model:
         """

replicate/pagination.py

@@ -0,0 +1,66 @@
+from typing import (
+    TYPE_CHECKING,
+    Dict,
+    Generic,
+    List,
+    Optional,
+    TypeVar,
+    Union,
+)
+
+try:
+    from pydantic import v1 as pydantic  # type: ignore
+except ImportError:
+    import pydantic  # type: ignore
+
+from replicate.resource import Namespace, Resource
+
+T = TypeVar("T", bound=Resource)
+
+if TYPE_CHECKING:
+    from .client import Client
+
+
+class Page(pydantic.BaseModel, Generic[T]):
+    """
+    A page of results from the API.
+    """
+
+    _client: "Client" = pydantic.PrivateAttr()
+    _namespace: Namespace = pydantic.PrivateAttr()
+
+    previous: Optional[str] = None
+    """A pointer to the previous page of results"""
+
+    next: Optional[str] = None
+    """A pointer to the next page of results"""
+
+    results: List[T]
+    """The results on this page"""
+
+    def __init__(
+        self,
+        client: "Client",
+        namespace: Namespace[T],
+        *,
+        results: Optional[List[Union[T, Dict]]] = None,
+        **kwargs,
+    ) -> None:
+        self._client = client
+        self._namespace = namespace
+
+        super().__init__(
+            results=[self._namespace._prepare_model(r) for r in results]
+            if results
+            else None,
+            **kwargs,
+        )
+
+    def __iter__(self):  # noqa: ANN204
+        return iter(self.results)
+
+    def __getitem__(self, index: int) -> T:
+        return self.results[index]
+
+    def __len__(self) -> int:
+        return len(self.results)

replicate/prediction.py

@@ -6,6 +6,7 @@
 from replicate.exceptions import ModelError
 from replicate.files import upload_file
 from replicate.json import encode_json
+from replicate.pagination import Page
 from replicate.resource import Namespace, Resource
 from replicate.version import Version
 
@@ -157,21 +158,25 @@ class Predictions(Namespace):
 
     model = Prediction
 
-    def list(self) -> List[Prediction]:
+    def list(self, cursor: Union[str, "ellipsis"] = ...) -> Page[Prediction]:  # noqa: F821
         """
         List your predictions.
 
+        Parameters:
+            cursor: The cursor to use for pagination. Use the value of `Page.next` or `Page.previous`.
         Returns:
-            A list of prediction objects.
+            Page[Prediction]: A page of of predictions.
+        Raises:
+            ValueError: If `cursor` is `None`.
         """
 
-        resp = self._client._request("GET", "/v1/predictions")
-        # TODO: paginate
-        predictions = resp.json()["results"]
-        for prediction in predictions:
-            # HACK: resolve this? make it lazy somehow?
-            del prediction["version"]
-        return [self._prepare_model(obj) for obj in predictions]
+        if cursor is None:
+            raise ValueError("cursor cannot be None")
+
+        resp = self._client._request(
+            "GET", "/v1/predictions" if cursor is ... else cursor
+        )
+        return Page[Prediction](self._client, self, **resp.json())
 
     def get(self, id: str) -> Prediction:  # pylint: disable=invalid-name
         """

replicate/training.py

@@ -6,6 +6,7 @@
 from replicate.exceptions import ReplicateException
 from replicate.files import upload_file
 from replicate.json import encode_json
+from replicate.pagination import Page
 from replicate.resource import Namespace, Resource
 from replicate.version import Version
 
@@ -90,21 +91,25 @@ class CreateParams(TypedDict):
         webhook_completed: NotRequired[str]
         webhook_events_filter: NotRequired[List[str]]
 
-    def list(self) -> List[Training]:
+    def list(self, cursor: Union[str, "ellipsis"] = ...) -> Page[Training]:  # noqa: F821
         """
         List your trainings.
 
+        Parameters:
+            cursor: The cursor to use for pagination. Use the value of `Page.next` or `Page.previous`.
         Returns:
-            List[Training]: A list of training objects.
+            Page[Training]: A page of trainings.
+        Raises:
+            ValueError: If `cursor` is `None`.
         """
 
-        resp = self._client._request("GET", "/v1/trainings")
-        # TODO: paginate
-        trainings = resp.json()["results"]
-        for training in trainings:
-            # HACK: resolve this? make it lazy somehow?
-            del training["version"]
-        return [self._prepare_model(obj) for obj in trainings]
+        if cursor is None:
+            raise ValueError("cursor cannot be None")
+
+        resp = self._client._request(
+            "GET", "/v1/trainings" if cursor is ... else cursor
+        )
+        return Page[Training](self._client, self, **resp.json())
 
     def get(self, id: str) -> Training:  # pylint: disable=invalid-name
         """