feat: add deprecated replicate.stream() for v1 compatibility

README.md

@@ -110,9 +110,24 @@ output = replicate.run("...", input={...}, wait=False)
 
 When `wait=False`, the method returns immediately after creating the prediction, and you'll need to poll for the result manually.
 
+## Streaming output
+
+For models that support streaming (particularly language models), use `replicate.use()` with `streaming=True` to stream the output response as it's generated:
+
+```python
+import replicate
+
+claude = replicate.use("anthropic/claude-4.5-sonnet", streaming=True)
+
+for event in claude(input={"prompt": "Please write a haiku about streaming Python."}):
+    print(str(event), end="")
+```
+
+> **Note:** The [legacy `replicate.stream()` method](https://github.com/replicate/replicate-python/blob/d2956ff9c3e26ef434bc839cc5c87a50c49dfe20/README.md#run-a-model-and-stream-its-output) is also available for backwards compatibility with the v1 SDK, but is deprecated and will be removed in a future version.
+
 ## Async usage
 
-Simply import `AsyncReplicate` instead of `Replicate` and use `await` with each API call:
+To use the Replicate client asynchronously, import `AsyncReplicate` instead of `Replicate` and use `await` with each API call:
 
 ```python
 import os
@@ -136,34 +151,6 @@ asyncio.run(main())
 
 Functionality between the synchronous and asynchronous clients is otherwise identical.
 
-### Async run() and stream()
-
-The async client also supports `run()` and `stream()` methods:
-
-```python
-import asyncio
-from replicate import AsyncReplicate
-
-replicate = AsyncReplicate()
-
-
-async def main():
-    # Run a model
-    output = await replicate.run(
-        "black-forest-labs/flux-schnell", input={"prompt": "astronaut riding a rocket like a horse"}
-    )
-    print(output)
-
-    # Stream a model's output
-    async for event in replicate.stream(
-        "meta/meta-llama-3-70b-instruct", input={"prompt": "Write a haiku about coding"}
-    ):
-        print(str(event), end="")
-
-
-asyncio.run(main())
-```
-
 ### With aiohttp
 
 By default, the async client uses `httpx` for HTTP requests. However, for improved concurrency performance you may also use `aiohttp` as the HTTP backend.

src/replicate/__init__.py

@@ -109,7 +109,7 @@
     if not __name.startswith("__"):
         try:
             # Skip symbols that are imported later from _module_client
-            if __name in ("run", "use"):
+            if __name in ("run", "use", "stream"):
                 continue
             __locals[__name].__module__ = "replicate"
         except (TypeError, AttributeError):
@@ -253,6 +253,7 @@ def _reset_client() -> None:  # type: ignore[reportUnusedFunction]
     use as use,
     files as files,
     models as models,
+    stream as stream,  # pyright: ignore[reportDeprecated]
     account as account,
     hardware as hardware,
     webhooks as webhooks,

src/replicate/_client.py

@@ -16,7 +16,7 @@
     AsyncIterator,
     overload,
 )
-from typing_extensions import Self, Unpack, ParamSpec, override
+from typing_extensions import Self, Unpack, ParamSpec, override, deprecated
 
 import httpx
 
@@ -320,6 +320,38 @@ def use(
         # TODO: Fix mypy overload matching for streaming parameter
         return _use(self, ref, hint=hint, streaming=streaming)  # type: ignore[call-overload, no-any-return]
 
+    @deprecated("replicate.stream() is deprecated. Use replicate.use() with streaming=True instead")
+    def stream(
+        self,
+        ref: str,
+        *,
+        input: dict[str, Any],
+    ) -> Iterator[str]:
+        """
+        Run a model and stream its output (deprecated).
+
+        .. deprecated::
+            Use :meth:`use` with ``streaming=True`` instead:
+
+            .. code-block:: python
+
+                model = replicate.use("anthropic/claude-4.5-sonnet", streaming=True)
+                for event in model(input={"prompt": "Hello"}):
+                    print(str(event), end="")
+
+        Args:
+            ref: Reference to the model to run. Can be a string with owner/name format
+                (e.g., "anthropic/claude-4.5-sonnet") or owner/name:version format.
+            input: Dictionary of input parameters for the model. The required keys depend
+                on the specific model being run.
+
+        Returns:
+            An iterator that yields output strings as they are generated by the model
+        """
+        from .lib._stream import stream as _stream  # pyright: ignore[reportDeprecated]
+
+        return _stream(type(self), ref, input=input)  # type: ignore[return-value, arg-type]
+
     def copy(
         self,
         *,
@@ -695,6 +727,38 @@ def use(
         # TODO: Fix mypy overload matching for streaming parameter
         return _use(self, ref, hint=hint, streaming=streaming)  # type: ignore[call-overload, no-any-return]
 
+    @deprecated("replicate.stream() is deprecated. Use replicate.use() with streaming=True instead")
+    async def stream(
+        self,
+        ref: str,
+        *,
+        input: dict[str, Any],
+    ) -> AsyncIterator[str]:
+        """
+        Run a model and stream its output asynchronously (deprecated).
+
+        .. deprecated::
+            Use :meth:`use` with ``streaming=True`` instead:
+
+            .. code-block:: python
+
+                model = replicate.use("anthropic/claude-4.5-sonnet", streaming=True)
+                async for event in model(input={"prompt": "Hello"}):
+                    print(str(event), end="")
+
+        Args:
+            ref: Reference to the model to run. Can be a string with owner/name format
+                (e.g., "anthropic/claude-4.5-sonnet") or owner/name:version format.
+            input: Dictionary of input parameters for the model. The required keys depend
+                on the specific model being run.
+
+        Returns:
+            An async iterator that yields output strings as they are generated by the model
+        """
+        from .lib._stream import stream as _stream  # pyright: ignore[reportDeprecated]
+
+        return _stream(type(self), ref, input=input)  # type: ignore[return-value, arg-type]
+
     def copy(
         self,
         *,

src/replicate/_module_client.py

@@ -82,6 +82,7 @@ def __load__(self) -> PredictionsResource:
     __client: Replicate = cast(Replicate, {})
     run = __client.run
     use = __client.use
+    stream = __client.stream  # pyright: ignore[reportDeprecated]
 else:
 
     def _run(*args, **kwargs):
@@ -100,8 +101,21 @@ def _use(ref, *, hint=None, streaming=False, use_async=False, **kwargs):
 
         return use(Replicate, ref, hint=hint, streaming=streaming, **kwargs)
 
+    def _stream(ref, *, input, use_async=False):
+        from .lib._stream import stream
+
+        if use_async:
+            from ._client import AsyncReplicate
+
+            return stream(AsyncReplicate, ref, input=input)
+
+        from ._client import Replicate
+
+        return stream(Replicate, ref, input=input)
+
     run = _run
     use = _use
+    stream = _stream
 
 files: FilesResource = FilesResourceProxy().__as_proxied__()
 models: ModelsResource = ModelsResourceProxy().__as_proxied__()

src/replicate/lib/_stream.py

@@ -0,0 +1,95 @@
+"""
+Deprecated streaming functionality for backwards compatibility with v1 SDK.
+
+This module provides the stream() function which wraps replicate.use() with streaming=True.
+"""
+
+from __future__ import annotations
+
+import warnings
+from typing import Any, Dict, Type, Union, Iterator, AsyncIterator, overload
+from typing_extensions import deprecated
+
+from .._client import Client, AsyncClient
+from ._predictions_use import use
+
+__all__ = ["stream"]
+
+
+def _format_deprecation_message(ref: str, input: Dict[str, Any]) -> str:
+    """Format the deprecation message with a working example."""
+    # Format the input dict for display
+    input_str = "{\n"
+    for key, value in input.items():
+        if isinstance(value, str):
+            input_str += f'        "{key}": "{value}",\n'
+        else:
+            input_str += f'        "{key}": {value},\n'
+    input_str += "    }"
+
+    return (
+        f"replicate.stream() is deprecated and will be removed in a future version. "
+        f"Use replicate.use() with streaming=True instead:\n\n"
+        f'    model = replicate.use("{ref}", streaming=True)\n'
+        f"    for event in model(input={input_str}):\n"
+        f'        print(str(event), end="")\n'
+    )
+
+
+@overload
+def stream(
+    client: Type[Client],
+    ref: str,
+    *,
+    input: Dict[str, Any],
+) -> Iterator[str]: ...
+
+
+@overload
+def stream(
+    client: Type[AsyncClient],
+    ref: str,
+    *,
+    input: Dict[str, Any],
+) -> AsyncIterator[str]: ...
+
+
+@deprecated("replicate.stream() is deprecated. Use replicate.use() with streaming=True instead")
+def stream(
+    client: Union[Type[Client], Type[AsyncClient]],
+    ref: str,
+    *,
+    input: Dict[str, Any],
+) -> Union[Iterator[str], AsyncIterator[str]]:
+    """
+    Run a model and stream its output (deprecated).
+
+    This function is deprecated. Use replicate.use() with streaming=True instead:
+
+        model = replicate.use("anthropic/claude-4.5-sonnet", streaming=True)
+        for event in model(input={"prompt": "Hello"}):
+            print(str(event), end="")
+
+    Args:
+        client: The Replicate client class (Client or AsyncClient)
+        ref: Reference to the model to run. Can be a string with owner/name format
+            (e.g., "anthropic/claude-4.5-sonnet") or owner/name:version format.
+        input: Dictionary of input parameters for the model. The required keys depend
+            on the specific model being run.
+
+    Returns:
+        An iterator (or async iterator) that yields output strings as they are
+        generated by the model
+    """
+    # Log deprecation warning with helpful migration example
+    warnings.warn(
+        _format_deprecation_message(ref, input),
+        DeprecationWarning,
+        stacklevel=2,
+    )
+
+    # Use the existing use() function with streaming=True
+    model = use(client, ref, streaming=True)  # type: ignore[var-annotated]  # pyright: ignore[reportUnknownVariableType]
+
+    # Call the model with the input
+    return model(**input)  # type: ignore[return-value]