chore: regenerate uv.lock with hashes, use lockfile in setup (#2812)

- Regenerate uv.lock with sha256 hashes for all 2965 package artifacts
- Add python_version marker to yc-bench (requires >=3.12)
- Update setup-hermes.sh to prefer 'uv sync --locked' for hash-verified
  installs, with fallback to 'uv pip install' when lockfile is stale

This completes the supply chain hardening: pyproject.toml bounds the
version ranges, and uv.lock pins exact versions with cryptographic
hashes so tampered packages are rejected at install time.

pyproject.toml

@@ -64,7 +64,7 @@ rl = [
   "uvicorn[standard]>=0.24.0,<1",
   "wandb>=0.15.0,<1",
 ]
-yc-bench = ["yc-bench @ git+https://github.com/collinear-ai/yc-bench.git"]
+yc-bench = ["yc-bench @ git+https://github.com/collinear-ai/yc-bench.git ; python_version >= '3.12'"]
 all = [
   "hermes-agent[modal]",
   "hermes-agent[daytona]",

setup-hermes.sh

@@ -116,9 +116,20 @@ export VIRTUAL_ENV="$SCRIPT_DIR/venv"
 
 echo -e "${CYAN}→${NC} Installing dependencies..."
 
-$UV_CMD pip install -e ".[all]" || $UV_CMD pip install -e "."
+# Prefer uv sync with lockfile (hash-verified installs) when available,
-
+# fall back to pip install for compatibility or when lockfile is stale.
-echo -e "${GREEN}✓${NC} Dependencies installed"
+if [ -f "uv.lock" ]; then
+    echo -e "${CYAN}→${NC} Using uv.lock for hash-verified installation..."
+    UV_PROJECT_ENVIRONMENT="$SCRIPT_DIR/venv" $UV_CMD sync --all-extras --locked 2>/dev/null && \
+        echo -e "${GREEN}✓${NC} Dependencies installed (lockfile verified)" || {
+        echo -e "${YELLOW}⚠${NC} Lockfile install failed (may be outdated), falling back to pip install..."
+        $UV_CMD pip install -e ".[all]" || $UV_CMD pip install -e "."
+        echo -e "${GREEN}✓${NC} Dependencies installed"
+    }
+else
+    $UV_CMD pip install -e ".[all]" || $UV_CMD pip install -e "."
+    echo -e "${GREEN}✓${NC} Dependencies installed"
+fi
 
 # ============================================================================
 # Submodules (terminal backend + RL training)