From c52b0f1e57bf4443b6d88453d0cdf7e761987876 Mon Sep 17 00:00:00 2001
From: chopratejas <chopratejas@gmail.com>
Date: Wed, 8 Apr 2026 11:33:28 -0700
Subject: [PATCH] =?UTF-8?q?Add=20sentencepiece=20to=20image=20extra=20?=
 =?UTF-8?q?=E2=80=94=20required=20by=20SigLIP=20tokenizer=20(#103)?=
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SiglipTokenizer from transformers hard-requires sentencepiece at runtime.
Without it, the image router silently falls back to PRESERVE (no compression).
Users on pip install headroom-ai[image] or [all] were missing this dependency.
---
 pyproject.toml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/pyproject.toml b/pyproject.toml
index 4d8a9c4ce..7111a6cf5 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -95,6 +95,7 @@ relevance = [
 # Image compression (ML-based routing)
 image = [
     "pillow>=10.0.0",
+    "sentencepiece>=0.1.99",  # Required by SigLIP tokenizer (SiglipTokenizer)
 ]
 # Report generation
 reports = [