build: support python 3.13 (#8965)

* support python 3.13

* release note

* add python version info to contributing guide

* better explanation

Author: anakin87

CONTRIBUTING.md

@@ -147,6 +147,10 @@ next contribution!
 
 ### Setting up your development environment
 
+*To run Haystack tests locally, ensure your development environment uses Python >=3.9 and <3.13.*
+Some optional dependencies are not yet compatible with Python 3.13
+(see [this PR](https://github.com/deepset-ai/haystack/pull/8965) for details).
+
 Haystack makes heavy use of [Hatch](https://hatch.pypa.io/latest/), a Python project manager that we use to set up the
 virtual environments, build the project, and publish packages. As you can imagine, the first step towards becoming a
 Haystack contributor is installing Hatch. There are a variety of installation methods depending on your operating system

pyproject.toml

@@ -8,7 +8,7 @@ dynamic = ["version"]
 description = "LLM framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data."
 readme = "README.md"
 license = "Apache-2.0"
-requires-python = ">=3.8,<3.13"
+requires-python = ">=3.8"
 authors = [{ name = "deepset.ai", email = "[email protected]" }]
 keywords = [
   "BERT",
@@ -39,6 +39,7 @@ classifiers = [
   "Programming Language :: Python :: 3.10",
   "Programming Language :: Python :: 3.11",
   "Programming Language :: Python :: 3.12",
+  "Programming Language :: Python :: 3.13",
   "Topic :: Scientific/Engineering :: Artificial Intelligence",
 ]
 dependencies = [

releasenotes/notes/python-3.13-support-68d6f52887611eac.yaml

@@ -0,0 +1,9 @@
+---
+enhancements:
+  - |
+    Haystack now officially supports Python 3.13.
+    Some components and integrations may not yet be compatible.
+    Specifically, the `NamedEntityExtractor` does not work with Python 3.13 when using the `spacy` backend.
+    Additionally, you may encounter issues installing `openai-whisper`, which is required by the
+    `LocalWhisperTranscriber` component, if you use `uv` or `poetry` for installation.
+    In this case, we recommend using `pip` for installation.