fix: restore optional-dependencies removed by PR #151 (#155)

PR #151 (docs: add openadapt-ml migration analysis report) accidentally
deleted the entire [project.optional-dependencies] section and the
openadapt-ml editable source from pyproject.toml. This broke CI because
`uv sync --extra dev --no-sources` fails when the dev extra doesn't
exist. The PR was merged despite failing CI because enforce_admins is
disabled on branch protection.

Restores all optional-dependency groups (dev, waa, azure, aws, retrieval,
viewer, wandb, training, verl, all, test) and the openadapt-ml editable
source. Regenerates uv.lock with --no-sources to match CI resolution.

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

Author: abrichr

pyproject.toml

@@ -44,6 +44,67 @@ dependencies = [
     "openadapt-ml>=0.11.0",
 ]
 
+[project.optional-dependencies]
+dev = [
+    "pytest>=8.0.0",
+    "ruff>=0.1.0",
+    "flask>=3.0.0",
+    "requests-toolbelt>=1.0.0",
+    "fire>=0.5.0",
+]
+waa = [
+    # Windows Agent Arena dependencies
+    "requests>=2.28.0",
+]
+azure = [
+    # Azure ML dependencies for distributed WAA evaluation
+    "azure-ai-ml>=1.12.0",
+    "azure-identity>=1.15.0",
+    # Azure VM management (SDK path)
+    "azure-mgmt-compute>=33.0.0",
+    "azure-mgmt-network>=27.0.0",
+    "azure-mgmt-resource>=23.2.0",
+]
+aws = [
+    # AWS EC2 management for VM pool operations
+    "boto3>=1.34.0",
+]
+retrieval = [
+    # For RetrievalAugmentedAgent with automatic demo selection
+    "openadapt-retrieval>=0.1.0",
+]
+viewer = [
+    # For live benchmark viewer API server
+    "flask>=3.0.0",
+    "flask-cors>=4.0.0",
+]
+wandb = [
+    # Weights & Biases for experiment tracking
+    "wandb>=0.16.0",
+]
+training = [
+    # Perceptual hashing for planner cache (falls back to MD5 if not installed)
+    "imagehash>=4.3.0",
+    # CLIP embeddings for visual similarity
+    "open-clip-torch>=2.20.0",
+    # Heavy ML deps for openadapt-ml training
+    "openadapt-ml[training]>=0.11.0",
+]
+verl = [
+    # veRL: Volcano Engine Reinforcement Learning for LLMs
+    # https://github.com/volcengine/verl
+    "verl>=0.3.0",
+    # NOTE: VAGEN (Visual Agent with Environment Grounding) is not published
+    # on PyPI. Install from source: https://github.com/RAGEN-AI/VAGEN
+]
+all = [
+    "openadapt-evals[dev,waa,azure,aws,retrieval,viewer,wandb]",
+]
+test = [
+    "anthropic>=0.76.0",
+    "flask>=3.0.0",
+]
+
 [project.scripts]
 oa = "openadapt_evals.cli.main:main"
 # Legacy entry point (kept for backward compatibility)
@@ -59,6 +120,7 @@ Documentation = "https://github.com/OpenAdaptAI/openadapt-evals#readme"
 
 [tool.uv.sources]
 openadapt-consilium = { git = "https://github.com/OpenAdaptAI/openadapt-consilium.git" }
+openadapt-ml = { path = "../openadapt-ml", editable = true }
 
 [tool.hatch.build.targets.wheel]
 packages = ["openadapt_evals"]