feat: migrate npm registry from Verdaccio to Gitea Packages

packages/journaling/src/agent.ts

@@ -77,7 +77,7 @@ export class ResearchAgent {
     // but formatted as "facts".
 
     const synthesis = await this.openai.chat.completions.create({
-      model: "google/gemini-2.0-flash-001",
+      model: "google/gemini-3-flash-preview",
       messages: [
         {
           role: "system",
@@ -186,7 +186,7 @@ Return JSON: { "facts": [ { "statement": "...", "source": "Organization Name Onl
     // Step 1: Ask the LLM to generate a highly specific YouTube search query
     // We want tutorials, explanations, or deep dives.
     const queryGen = await this.openai.chat.completions.create({
-      model: "google/gemini-2.5-flash",
+      model: "google/gemini-3-flash-preview",
       messages: [
         {
           role: "system",
@@ -262,7 +262,7 @@ RULES:
 Return ONLY a JSON object: {"bestVideoId": number}`;
 
       const evalResponse = await this.openai.chat.completions.create({
-        model: "google/gemini-2.5-flash",
+        model: "google/gemini-3-flash-preview",
         messages: [{ role: "system", content: evalPrompt }],
         response_format: { type: "json_object" },
       });
@@ -320,7 +320,7 @@ Return ONLY a JSON object: {"bestVideoId": number}`;
     topic: string,
   ): Promise<{ trendsKeywords: string[]; dcVariables: string[] }> {
     const response = await this.openai.chat.completions.create({
-      model: "google/gemini-2.0-flash-001",
+      model: "google/gemini-3-flash-preview",
       messages: [
         {
           role: "system",
@@ -378,7 +378,7 @@ CRITICAL: Do NOT provide more than 2 trendsKeywords. Keep it extremely focused.`
 
     // Step 1: LLM generates the optimal Google Search query
     const queryGen = await this.openai.chat.completions.create({
-      model: "google/gemini-2.5-flash",
+      model: "google/gemini-3-flash-preview",
       messages: [
         {
           role: "system",

packages/journaling/src/clients/trends.ts

@@ -34,7 +34,7 @@ export class TrendsClient {
     );
     try {
       const response = await this.openai.chat.completions.create({
-        model: "google/gemini-2.5-flash",
+        model: "google/gemini-3-flash-preview",
         messages: [
           {
             role: "system",