Bumping python to allow 3.13 (#634)

## Description

We just merged a dependabot flagged lambda from 3.12 to 3.13, which
broke some of our images:
https://github.com/CDCgov/dibbs-text-to-code/actions/runs/27693398902/job/81911551823

If we are concerned with allowing this, we can always rollback that PR
for the time being since it is perhaps a bigger breaking change than I
realized at the time.

The `torch` being pinned to 2.9.1 was causing issues with a universal
change to the primary `pyproject.toml` to allow 3.13 wheels. We have an
open PR about pushing up that version that may resolve that issue, but
as noted in that dependabot ticket, there could be an issue with an
upgrade there: #621

May be worth considering at the same time. Per eng sync convo, we should
push to at least 3.13 and also pin back the Dockerfiles to just be 3.13.

I added a stop to keep any 3.14 out, but 🤷🏽 I think I would be okay with
just >=3.13, especially given we will probably want to review/change
versions of our dockerfile images to 3.14 more deliberately.

## Related Issues

Related to #633
Semi-related to #621

## Additional Notes

[Add any additional context or notes that reviewers should know about.]

<--------------------- REMOVE THE LINES BELOW BEFORE MERGING
--------------------->

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- [ ] I have reviewed my changes to ensure they are clear, concise, and
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- [ ] I have updated the documentation, if applicable.
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## Checklist for Reviewers

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---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

Author: robertandremitchell

Dockerfile.augmentation

@@ -1,4 +1,4 @@
-FROM public.ecr.aws/lambda/python:3.13.2026.06.16.18
+FROM public.ecr.aws/lambda/python:3.13
 
 LABEL org.opencontainers.image.source=https://github.com/CDCgov/dibbs-text-to-code
 LABEL org.opencontainers.image.licenses=Apache-2.0

Dockerfile.index

@@ -1,4 +1,4 @@
-FROM public.ecr.aws/lambda/python:3.13.2026.06.16.18
+FROM public.ecr.aws/lambda/python:3.13
 
 LABEL org.opencontainers.image.source=https://github.com/CDCgov/dibbs-text-to-code
 LABEL org.opencontainers.image.licenses=Apache-2.0

Dockerfile.ttc

@@ -1,4 +1,4 @@
-FROM public.ecr.aws/lambda/python:3.13.2026.06.16.18
+FROM public.ecr.aws/lambda/python:3.13
 
 LABEL org.opencontainers.image.source=https://github.com/CDCgov/dibbs-text-to-code
 LABEL org.opencontainers.image.licenses=Apache-2.0

README.md

@@ -114,7 +114,7 @@ In production, the two Lambda functions handle large-scale eICR processing.
 
 ### Pre-requisites
 
-- Python 3.11 or higher
+- Python 3.13
 - [Docker](https://docs.docker.com/get-docker/)
 - [Docker Compose](https://docs.docker.com/compose/install/) [optional]
 

packages/augmentation-lambda/README.md

@@ -25,7 +25,7 @@ Augmentation creates a new eICR iteration rather than replacing the original eIC
 
 ### Pre-requisites
 
-- Python 3.11 or higher
+- Python 3.13
 - Docker
 - Docker Compose [optional]
 

packages/index-lambda/README.md

@@ -21,7 +21,7 @@ The index stores LOINC code metadata and embedding vectors used for semantic sea
 
 ### Pre-requisites
 
-- Python 3.11 or higher
+- Python 3.13
 - Docker
 - Docker Compose [optional]
 

packages/lambda-handler/README.md

@@ -21,7 +21,7 @@ The package centralizes common Lambda support behavior, including AWS client cre
 
 ### Pre-requisites
 
-- Python 3.11 or higher
+- Python 3.13
 - Docker
 - Docker Compose [optional]
 

packages/shared-models/pyproject.toml

@@ -4,7 +4,6 @@ version = "0.1.0"
 description = "Add your description here"
 readme = "README.md"
 authors = [{ name = "Josh Nygaard", email = "jnygaard@skylight.digital" }]
-requires-python = ">=3.11, <3.13"
 dependencies = []
 
 [build-system]

packages/text-to-code/pyproject.toml

@@ -6,13 +6,7 @@ dependencies = [
   "lxml>=6.0.2",
   "pydantic>=2.12.5",
   "sentence-transformers",
-  # Starting with version 2.2.2, PyTorch stopped publishing wheel binaries for Intel Macs.
-  # To maintain support for Intel Mac development, we pin PyTorch to version 2.2.2.
-  # Some 2.2.2 builds were created with numpy 1.x, so we explicitly pin numpy to 1.x
-  # to ensure compatibility across all hardware.
-  # Once Intel Mac support is no longer needed, we can remove these pinned torch and numpy
-  # versions and rely on spacy and sentence-transformers to manage their own dependencies.
-  "torch>=2.12.0",
+  "torch",
 ]
 
 [dependency-groups]

packages/validation/pyproject.toml

@@ -3,7 +3,6 @@ name = "validation"
 version = "0.1.0"
 description = "Add your description here"
 readme = "README.md"
-requires-python = ">=3.11, <3.13"
 dependencies = ["saxonche>=12.9.0"]
 
 [build-system]