Release v0.1.3: model-agnostic inference, vLLM model name fix

Author: adaamko

CHANGELOG.md

@@ -2,6 +2,22 @@
 
 All notable changes to Squeez are documented here.
 
+## [0.1.3] - 2026-03-18
+
+### Fixed
+- **Model-agnostic inference**: replaced hardcoded Qwen ChatML template with `tokenizer.apply_chat_template()` — local transformers backend now works with any model family
+- **vLLM model name bug**: server model name from env var was not being passed through to API calls, causing 400 errors on providers like Groq
+
+### Added
+- **Pooled line classifier backend**: new `pooled` backend for sentence-level classification
+- **LoRA auto-detection**: transformers backend auto-detects and loads LoRA/PEFT checkpoints
+- **Batch extraction**: `extract_many()` with concurrent requests for remote backends
+- **Encoder model**: token-level line classification with mmBERT
+
+### Changed
+- **Inference refactor**: shared `_build_messages()` used by both vLLM and transformers backends
+- **Query tag**: renamed `<task>` to `<query>` in prompt formatting
+
 ## [0.1.2] - 2026-03-08
 
 ### Fixed

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "squeez"
-version = "0.1.2"
+version = "0.1.3"
 description = "Squeeze verbose LLM agent tool output down to only the relevant lines"
 readme = {file = "README.md", content-type = "text/markdown"}
 requires-python = ">=3.10"

squeez/__init__.py

@@ -1,6 +1,6 @@
 """Squeez — Squeeze verbose LLM agent tool output down to only the relevant evidence blocks."""
 
-__version__ = "0.1.0"
+__version__ = "0.1.3"
 
 
 def __getattr__(name: str):