feat: LLM accuracy testing framework with 17-test catalog

Framework runs a category/subcategory test catalog against multiple
LLMs through an OpenAI-compatible endpoint. Deterministic evaluators
score each response. Reports render as table, markdown, or JSON.

internal/eval/equals_test.go

@@ -0,0 +1,29 @@
+package eval
+
+import (
+	"context"
+	"testing"
+)
+
+func TestEquals(t *testing.T) {
+	tests := []struct {
+		name     string
+		want     string
+		response string
+		wantVal  float64
+	}{
+		{"exact match", "patch", "patch", 1},
+		{"case insensitive", "PATCH", "patch", 1},
+		{"trimmed whitespace", "patch", "  patch\n", 1},
+		{"mismatch", "patch", "minor", 0},
+		{"substring is not equal", "patch", "patch bump", 0},
+	}
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			got := Equals(tt.want).Evaluate(context.Background(), tt.response)
+			if got.Value != tt.wantVal {
+				t.Errorf("Equals(%q).Evaluate(%q) = %v, want %v", tt.want, tt.response, got.Value, tt.wantVal)
+			}
+		})
+	}
+}