chore: release 0.1.1

Author: semantic-release

CHANGELOG.md

@@ -0,0 +1,150 @@
+# CHANGELOG
+
+
+## v0.1.1 (2026-01-29)
+
+### Bug Fixes
+
+- **ci**: Remove build_command from semantic-release config
+  ([`db01f86`](https://github.com/OpenAdaptAI/openadapt-grounding/commit/db01f86bb0e62df393b93c297374325169f893c0))
+
+The python-semantic-release action runs in a Docker container where uv is not available. Let the
+  workflow handle building instead.
+
+Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
+
+### Continuous Integration
+
+- Switch to python-semantic-release for automated versioning
+  ([`a2dd7d5`](https://github.com/OpenAdaptAI/openadapt-grounding/commit/a2dd7d5f8dde359396b5c81515f38bbca3c7a33b))
+
+Replaces manual tag-triggered publish with python-semantic-release: - Automatic version bumping
+  based on conventional commits - feat: -> minor, fix:/perf: -> patch - Creates GitHub releases
+  automatically - Publishes to PyPI on release
+
+Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
+
+
+## v0.1.0 (2026-01-16)
+
+### Bug Fixes
+
+- **uitars**: Fix Dockerfile for vLLM deployment
+  ([`5d457ed`](https://github.com/OpenAdaptAI/openadapt-grounding/commit/5d457ed464bb13e10d0fbe8d57a23f85a8f6a31a))
+
+- Fix CMD format: vLLM image has ENTRYPOINT, CMD should be args only - Fix --limit-mm-per-prompt
+  format: use KEY=VALUE instead of JSON - Reduce max-model-len from 32768 to 8192 to fix CUDA OOM on
+  L4 24GB - Remove model pre-download (causes disk space issues, download at runtime) - Increase
+  health check start-period to 600s for model download
+
+Also adds CLI commands: - cleanup: docker system prune for disk space recovery - wait: poll for
+  server health with configurable timeout - setup_autoshutdown: create CloudWatch/Lambda
+  infrastructure - build --clean: option to cleanup before building - logs: fix stderr capture
+
+Updates CLAUDE.md with non-interactive operations requirements.
+
+### Chores
+
+- Prepare for PyPI publishing and update Gemini models
+  ([`7be8b1f`](https://github.com/OpenAdaptAI/openadapt-grounding/commit/7be8b1f734453ab390cf8188d55ce5cdb9932272))
+
+- Add PyPI metadata: maintainers, classifiers, keywords, project URLs - Create LICENSE file (MIT) -
+  Add GitHub workflow for trusted PyPI publishing - Update Google provider to use current Gemini
+  models (3.x, 2.5.x) - Remove deprecated models (2.0, 1.5) that are retired or retiring - Update
+  tests to reflect new model names
+
+Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
+
+### Documentation
+
+- Add literature review, experiment plan, and evaluation harness
+  ([`13e69f8`](https://github.com/OpenAdaptAI/openadapt-grounding/commit/13e69f8d3d74dbc5eafe72affd46ce61026c86fe))
+
+- Add literature review: UI-TARS (61.6%), OmniParser (39.6%), ScreenSeekeR (+254%) - Add experiment
+  plan: 6 methods comparison across 3 datasets - Add evaluation harness with metrics and dataset
+  formats - Update README with documentation links - Add test assets from OmniParser deployment -
+  Fix Dockerfile for Conda ToS and PaddleOCR compatibility - Add deploy CLI commands: logs, ps,
+  build, run, test
+
+- Move outdated robust_detection to legacy, update evaluation format
+  ([`2f32d31`](https://github.com/OpenAdaptAI/openadapt-grounding/commit/2f32d3196212d5cb5c0aaf70cb93190bed0e2205))
+
+- Move robust_detection.md to docs/legacy/ (superseded by ScreenSeekeR approach) - Update
+  evaluation.md Section 6-7 to align with new experiment plan - Compare OmniParser vs UI-TARS
+  instead of baseline vs robust transforms
+
+- **readme**: Add CLI usage examples with output
+  ([`4d5f392`](https://github.com/OpenAdaptAI/openadapt-grounding/commit/4d5f392e36d14cf7d47dc6139353e93667a0791b))
+
+- Add status, ps, logs command output examples - Show deploy workflow with .env setup - Document all
+  available commands
+
+- **readme**: Use uv sync for dev setup
+  ([`8087ca5`](https://github.com/OpenAdaptAI/openadapt-grounding/commit/8087ca5a17b3cf9a240fb2886390e41e2b1b5571))
+
+### Features
+
+- Add UI-TARS deployment and client
+  ([`da67e66`](https://github.com/OpenAdaptAI/openadapt-grounding/commit/da67e66a789f1c0a6a0bfd8117068fd2921f48b5))
+
+- Add UITarsSettings config class for UI-TARS deployment - Create deploy/uitars module with
+  vLLM-based Dockerfile - Implement UITarsClient for grounding via OpenAI-compatible API - Add
+  GroundingResult dataclass with coordinate conversion - Include smart_resize() for Qwen2.5-VL
+  coordinate scaling - Add [uitars] optional dependency group (openai) - Update CLAUDE.md with
+  UI-TARS CLI commands - Update README.md with usage examples and API docs - Add
+  uitars_deployment_design.md with full design spec
+
+- **deploy**: Add auto-shutdown and fix PaddleOCR compatibility
+  ([`ab758df`](https://github.com/OpenAdaptAI/openadapt-grounding/commit/ab758df747ca1f1924787368b58dce3a5de66655))
+
+- pin PaddleOCR to v2.8.1 for API compatibility - add auto-shutdown for cost management - add
+  config.py and .env.example
+
+- **deploy**: Add CLI commands and fix transformers version
+  ([`9e6398b`](https://github.com/OpenAdaptAI/openadapt-grounding/commit/9e6398b569918f40356d6c25bdf32ec50b2b3688))
+
+- add logs, ps, build, run, test CLI commands - add CLAUDE.md with deployment instructions - pin
+  transformers==4.44.2 for Florence-2 compatibility
+
+- **eval**: Add evaluation framework for comparing grounding methods
+  ([`064a431`](https://github.com/OpenAdaptAI/openadapt-grounding/commit/064a4314cef63bd778ef419d4cd646e4afbe6c93))
+
+Implement comprehensive evaluation framework:
+
+- Dataset schema with AnnotatedElement, Sample, Dataset classes - Synthetic UI dataset generator
+  (buttons, icons, text, links) - Evaluation methods for OmniParser and UI-TARS - Cropping
+  strategies: baseline, fixed, ScreenSeekeR-style - Metrics: detection rate, IoU, latency by
+  size/type - Results storage and multi-method comparison - Visualization: charts (matplotlib) and
+  console tables - CLI: generate, run, compare, list commands
+
+Usage: python -m openadapt_grounding.eval generate --type synthetic --count 500 python -m
+  openadapt_grounding.eval run --method omniparser --dataset synthetic python -m
+  openadapt_grounding.eval compare --charts-dir evaluation/charts
+
+Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
+
+- **eval**: Add synthetic_hard evaluation dataset
+  ([`c97cf70`](https://github.com/OpenAdaptAI/openadapt-grounding/commit/c97cf70e060ddafcf178ab00169d3d2ee30db52f))
+
+Add a more challenging synthetic evaluation dataset with 48 samples for testing VLM API providers
+  and grounding methods. Contains synthetic UI screenshots with annotations for element localization
+  testing.
+
+Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
+
+- **providers**: Add VLM API providers for Claude, GPT, and Gemini
+  ([`9a766d1`](https://github.com/OpenAdaptAI/openadapt-grounding/commit/9a766d1d92c4312b917406f61d65a8139180226e))
+
+Add a unified provider abstraction for Visual Language Model APIs: - Base provider class with
+  coordinate normalization and response parsing - Anthropic provider for Claude models
+  (claude-sonnet-4-20250514) - OpenAI provider for GPT models (gpt-4o) - Google provider for Gemini
+  models (gemini-2.0-flash-exp)
+
+Features: - Lazy loading with optional dependencies per provider - Factory function get_provider()
+  with name aliases - Coordinate extraction from model responses with regex fallback - Image
+  encoding utilities (base64 conversion) - Comprehensive test suite with mocking
+
+Optional dependencies added to pyproject.toml: - providers-anthropic, providers-openai,
+  providers-google - providers (all providers combined)
+
+Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "openadapt-grounding"
-version = "0.1.0"
+version = "0.1.1"
 description = "Robust UI element localization for automation"
 readme = "README.md"
 requires-python = ">=3.10"