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infra/modules/dashboard_aca/main.tf (1)

18-26: 📐 Maintainability & Code Quality | 🔵 Trivial | ⚡ Quick win

Cache normalized URLs in locals.

trimspace(var.gateway_public_url) and trimspace(var.dashboard_public_url) are each evaluated twice. Define each normalized value once and reuse it.

Proposed refactor

 locals {
   prefix           = "pvc-${var.env}-${var.projname}"
   ca_name          = "${local.prefix}-dashboard"
   use_shared_token = trimspace(var.state_service_shared_token) != ""
   use_entra        = var.auth_mode == "entra"

-  gateway_url = trimspace(var.gateway_public_url) != "" ? trimspace(var.gateway_public_url) : var.gateway_url
+  gateway_public_url = trimspace(var.gateway_public_url)
+  gateway_url        = local.gateway_public_url != "" ? local.gateway_public_url : var.gateway_url

   cae_suffix            = trimprefix(var.gateway_url, "https://${local.prefix}-ca.")
   derived_dashboard_url = local.cae_suffix == var.gateway_url ? "" : "https://${local.ca_name}.${local.cae_suffix}"
-  dashboard_url         = trimspace(var.dashboard_public_url) != "" ? trimspace(var.dashboard_public_url) : local.derived_dashboard_url
+  dashboard_public_url   = trimspace(var.dashboard_public_url)
+  dashboard_url          = local.dashboard_public_url != "" ? local.dashboard_public_url : local.derived_dashboard_url
 }

As per coding guidelines: Use local values for repeated expressions in Terraform.

🤖 Prompt for AI Agents

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@infra/modules/dashboard_aca/main.tf` around lines 18 - 26, Define locals for
the trimmed gateway and dashboard public URL values, then update gateway_url and
dashboard_url to reuse those locals instead of calling trimspace on each
variable twice. Keep the existing fallback behavior unchanged.

Source: Coding guidelines

dashboard/components/tables/recent-logs-table.tsx (1)

262-304: 🚀 Performance & Scalability | 🔵 Trivial | 💤 Low value

Solid padding-rows virtualization implementation.

Correctly follows the @tanstack/react-virtual table pattern: spacer <tr>s sized from start/getTotalSize(), real rows in normal flow, colSpan matches the 8 header columns.

One optional improvement: estimateSize: () => 48 is a static guess, but DataRow renders two-line cells (App/Agent, Tokens), so actual row height can exceed 48px. Consider wiring up measureElement so the virtualizer measures real row heights, keeping paddingTop/paddingBottom accurate and avoiding scroll-position drift on longer lists.

♻️ Optional: enable dynamic row measurement

                       {virtualItems.map((virtualRow) => {
                         const d = sorted[virtualRow.index];
                         const tsFmt =
                           d.tsMs > 0 ? new Date(d.tsMs).toLocaleString() : d.ts || "—";
                         return (
                           <DataRow
                             key={d.raw.request_id || virtualRow.index}
+                            ref={rowVirtualizer.measureElement}
+                            data-index={virtualRow.index}
                             tsFmt={tsFmt}
                             derived={d}
                             onSelect={() => setSelectedRow(d.raw)}
                           />
                         );
                       })}

(Requires forwarding a ref to the underlying <tr> in DataRow.)

🤖 Prompt for AI Agents

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@dashboard/components/tables/recent-logs-table.tsx` around lines 262 - 304,
Optionally enable dynamic row-height measurement for the table virtualizer:
update the virtualizer configuration using measureElement and forward its ref
through DataRow to the underlying tr, while retaining estimateSize as the
fallback. Ensure measured two-line rows keep paddingTop, paddingBottom, and
scroll positioning accurate.

infra/modules/sluice_aca/main.tf (1)

439-469: 🗄️ Data Integrity & Integration | 🔵 Trivial | ⚡ Quick win

Extract provider pricing into shared locals
The Groq/Together/Fireworks token prices are duplicated in both the provider model entries and the auto fallback; a single source of truth would reduce drift when pricing changes.

🤖 Prompt for AI Agents

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@infra/modules/sluice_aca/main.tf` around lines 439 - 469, Extract the Groq,
Together, and Fireworks input/output token prices into shared locals in the
module’s locals block, then reuse those locals in both the provider model
entries and the auto_model_cost_in/auto_model_cost_out fallback expressions.
Remove the duplicated numeric literals while preserving the existing
provider-specific pricing and fallback behavior.