Step 1: Write the determinant clearly.
We are given
\[
\Delta=\begin{vmatrix}
x & y & 1
x+y & y+1 & x+1
1 & x & y
\end{vmatrix}
\]
and the condition
\[
x+y=-1
\]
We need to evaluate the determinant using this condition.
Step 2: Substitute the condition \( x+y=-1 \) into the second row.
Since
\[
x+y=-1
\]
the second row becomes
\[
(x+y,\ y+1,\ x+1)=(-1,\ y+1,\ x+1)
\]
So the determinant becomes
\[
\Delta=\begin{vmatrix}
x & y & 1
-1 & y+1 & x+1
1 & x & y
\end{vmatrix}
\]
Step 3: Use the relation \( x+y=-1 \) to simplify \( y+1 \) and \( x+1 \).
From
\[
x+y=-1
\]
we get
\[
y+1=-x
\]
and also
\[
x+1=-y
\]
Therefore the second row becomes
\[
(-1,-x,-y)
\]
Hence,
\[
\Delta=\begin{vmatrix}
x & y & 1
-1 & -x & -y
1 & x & y
\end{vmatrix}
\]
Step 4: Observe the relation between rows.
Now compare the second and third rows:
\[
R_2=(-1,-x,-y)
\]
and
\[
R_3=(1,x,y)
\]
Clearly,
\[
R_2=-R_3
\]
That means the second row is exactly the negative of the third row.
Step 5: Use the property of determinants.
A determinant is zero if any two rows are proportional.
Since
\[
R_2=-R_3
\]
the rows are proportional. Therefore,
\[
\Delta=0
\]
Step 6: Verify the conclusion conceptually.
Whenever one row is a constant multiple of another row, the matrix becomes linearly dependent.
A determinant measures linear independence of rows or columns.
Because the rows are dependent here, the determinant must vanish.
Step 7: Final conclusion.
Hence, the value of the determinant is
\[
\boxed{0}
\]
Therefore, the correct option is
\[
\boxed{(4)\ 0}
\]