We present a flexible implementation of non-equilibrium chemical networks with the framework, coupled to a nonlocal variable Eddington tensor-closed radiation transport scheme (). Our fiducial network is designed to explicitly capture the formation pathways of important molecular species such as CO, OH, and , intermediaries like , and the destruction of these species through photon and cosmic-ray dissociation. We validate our scheme through benchmark tests, and demonstrate its success in 1D and 3D problems covering a broad range of metallicities () and densities (). We confirm earlier works that suggest that OH and are the key molecular species in dense gas () for , dominate the cooling at these densities, and demonstrate that our scheme can reproduce their abundances with similar accuracy as dedicated static photo-dissociation region (PDR) codes. We also find that the dominant fine-structure coolant in dense () PDRs transitions from CI to CII to OI at increasingly lower . Finally, we find that in turbulent media, rapid mixing at PDR interfaces renders the chemical species out of equilibrium, and show that this could potentially alleviate the long-standing problem of (static) PDR models producing excess CI in the diffuse ISM over UV absorption-line measurements. We conclude by presenting and comparing with alternative implementations of reduced but faster chemical networks in our scheme, discussing the problem-dependent performance-accuracy tradeoffs and future prospects.

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