chore: drop Python 3.9 and upgrade to PyTorch 2.9.1

.github/workflows/ci.yml

@@ -21,7 +21,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: ['3.9', '3.10', '3.11', '3.12', '3.13']
+        python-version: ['3.10', '3.11', '3.12', '3.13', '3.14']
 
     steps:
       - name: Checkout repository

DEVELOPMENT.md

@@ -21,7 +21,7 @@ Developer guide for contributing to worker-tetra, a RunPod Serverless worker for
 
 ### Prerequisites
 
-- Python 3.11+ (3.12 recommended)
+- Python 3.10+ (3.12 recommended)
 - Docker Desktop (for container testing)
 - `uv` package manager ([installation](https://github.com/astral-sh/uv))
 - Git with submodule support
@@ -593,7 +593,7 @@ git commit -m "chore: update tetra-rp to latest main"
 
 ```mermaid
 graph LR
-    PR[Pull Request]:::pr --> Test[Test Job<br/>Python 3.9-3.13]:::test
+    PR[Pull Request]:::pr --> Test[Test Job<br/>Python 3.10-3.14]:::test
     PR --> Lint[Lint Job<br/>Ruff + Formatting]:::lint
     PR --> Docker[Docker Test<br/>CPU Build]:::docker
 

Dockerfile

@@ -1,4 +1,5 @@
-FROM pytorch/pytorch:2.8.0-cuda12.8-cudnn9-runtime
+FROM pytorch/pytorch:2.9.1-cuda12.8-cudnn9-runtime
+# Python 3.12 included in this PyTorch image
 
 WORKDIR /app
 

Dockerfile-lb

@@ -1,4 +1,5 @@
-FROM pytorch/pytorch:2.8.0-cuda12.8-cudnn9-runtime
+FROM pytorch/pytorch:2.9.1-cuda12.8-cudnn9-runtime
+# Python 3.12 included in this PyTorch image
 
 WORKDIR /app
 

pyproject.toml

@@ -3,7 +3,7 @@ name = "worker-tetra"
 version = "0.7.3"
 description = "Dynamic GPU provisioning for ML workloads with transparent execution"
 readme = "README.md"
-requires-python = ">=3.9,<3.13"
+requires-python = ">=3.10,<3.15"
 dependencies = [
     "cloudpickle>=3.1.1",
     "pydantic>=2.11.4",
@@ -55,7 +55,7 @@ filterwarnings = [
 ]
 
 [tool.mypy]
-python_version = "3.9"
+python_version = "3.10"
 mypy_path = ["src"]
 explicit_package_bases = true
 namespace_packages = true