This question has been bugging me for a while, I have an answer that is working sufficiently for the program I'm using, but it is a tad slow, and let's say imprecise. It is not an overtly difficult question, and for that I assume someone smarter than me has already found a better explanation.
To begin, we take a value $y \in \mathbb{C}$ such that $|\log(y)| < 1$. Then we look at the exponential:
$$ b^z = e^{\log(y) z/y}\\ $$
The value $b = y^{1/y}$ is inside what we call the Shell-Thron region, in the tetration circles. This is the area in which:
$$ \lim_{n\to\infty}\exp_b^{\circ n}(0) \,\,\text{converges} $$
Or, where the iterated exponential converges.
Now, to highlight the question, we can start with $1 < b < e^{1/e}$. The exponential $b^z$ has two fixed points on the real line. There is an attracting fixed point $1 < y < e$ and a repelling fixed point $\mu > e$. Both of which satisfy:
$$ e^{\log(y)/y} = e^{\log(\mu)/\mu}\\ $$
This relationship carries over for all $|\log(y)| < 1$, not just when it is real valued. From here, my question is simple.
Can anyone describe the holomorphic function:
$$ \begin{align} f(y): \{y \in \mathbb{C} : \, |\log(y)| < 1\} &\to \{\mu \in \mathbb{C} :\,|\log(\mu)| > 1\}\\ \frac{\log f(y)}{f(y)} &= \frac{\log(y)}{y}\\ \end{align} $$
And when restricted to real values:
$$ f(y): (1,e) \to (e , \infty)\\ $$
The manner I am solving this currently is a tad involved. But if $h(z) = \frac{\log(z) y}{\log(y)} = \log_b(z)$, and $h^{\circ n}$ are the iterates of $h$:
$$ f(y) = \lim_{n\to\infty} h^{\circ n}(e)\\ $$
This formula works on the real line, and moderately well in the complex plane. But I'm not certain if it works for all $|\log(y)| < 1$, there may be issues. It essentially runs off the basis that $e$ is in the Julia set of $b^z$, and/or in the attracting basin of the fixed point $\mu$ for the logarithm $\log_b(z)$. I don't know if this is true universally though, just for a large part of the domain in question.
This has been bugging me, and any help is appreciated. In essence, does anyone know any good ways of computing/describing/constructing $f$, other than the way I mentioned?