feat: integrate NVIDIA Nemotron-3 Content Safety API for Indonesian badword detection

- Added configuration options for NVIDIA Nemotron API key, model, and base URL.
- Refactored badword detection to utilize NVIDIA API, with a fallback to a local badword list.
- Updated moderation functions to handle asynchronous operations for text evidence generation.
- Removed dependency on the `indonesian-badwords` package and implemented custom detection logic.
- Enhanced tests to accommodate asynchronous behavior and validate new detection methods.

src/moderation/conversationContext.ts

@@ -25,13 +25,13 @@ export function estimateTokens(text: string): number {
 /**
  * Formats a single message for context or target display
  */
-export function formatMessageForPrompt(
+export async function formatMessageForPrompt(
   msg: MessageRecord,
   label: "context" | "target",
-): string {
+): Promise<string> {
   const content = msg.edited_content ?? msg.content;
   const timestamp = formatTimestamp(msg.created_at);
-  const textEvidence = formatModerationTextEvidenceForPrompt(content);
+  const textEvidence = await formatModerationTextEvidenceForPrompt(content);
   const textSuffix = textEvidence ? ` ${textEvidence}` : "";
   const mediaEvidence = formatMediaEvidenceForPrompt(msg.metadata);
   const mediaSuffix = mediaEvidence ? ` ${mediaEvidence}` : "";
@@ -42,22 +42,23 @@ export function formatMessageForPrompt(
  * Builds conversation historical context without including targets.
  * Calculates how much token budget targets use, and fills the rest with context.
  */
-export function buildConversationContext(
+export async function buildConversationContext(
   input: ConversationContextInput,
-): string[] {
+): Promise<string[]> {
   const { contextBefore, targets, maxTokens } = input;
 
-  // Calculate tokens used by targets
-  let usedTokens = targets.reduce((sum, msg) => {
-    return sum + estimateTokens(formatMessageForPrompt(msg, "target"));
-  }, 0);
+  // Calculate tokens used by targets (parallel)
+  const targetLines = await Promise.all(
+    targets.map((msg) => formatMessageForPrompt(msg, "target")),
+  );
+  let usedTokens = targetLines.reduce((sum, line) => sum + estimateTokens(line), 0);
 
   const selectedContextLines: string[] = [];
 
   // Go backwards through context, taking most recent first
   for (let i = contextBefore.length - 1; i >= 0; i--) {
     const msg = contextBefore[i];
-    const line = formatMessageForPrompt(msg, "context");
+    const line = await formatMessageForPrompt(msg, "context");
     const lineTokens = estimateTokens(line);
 
     if (usedTokens + lineTokens <= maxTokens) {