Update model and prompt

Author: gabygarro

.gitignore

@@ -130,3 +130,4 @@ dist
 .pnp.*
 
 .yalc
+.DS_Store

predictGender/index.js

@@ -1,5 +1,5 @@
 export default {
-  async fetch(request, env, ctx) {
+  async fetch(request, env) {
     // Handle CORS for browser requests
     if (request.method === 'OPTIONS') {
       return new Response(null, {
@@ -26,19 +26,25 @@ export default {
       }
 
       // Use env.AI directly - no import needed in dashboard editor
-      const systemPrompt = `You are a helpful assistant that always responds with valid JSON. 
-      Follow this exact schema: { "gender": "string (M|F|CF|X|NB)", "confidence": "number (decimal between 0 and 1)" }
+      const systemPrompt = `You are a helpful assistant that always responds with valid JSON.
+      Follow this exact schema: { "gender": "string (M|F|CF|X|NB)" }
       
       Rules:
       - Always return valid JSON
       - Follow the provided schema exactly
       - Do not include any text outside the JSON object
       - Ensure all required fields are present
-      - Consider Latin American and Spanish naming conventions when analyzing names`;
+      - Consider Latin American and Spanish naming conventions when analyzing names
+      - Use 'M' if it is a male name.
+      - Use 'F' if it is a female name.
+      - Use 'CF' if it is a list of names in spanish, either comma separated or separated by 'y' and at least one of the names is female.
+      - Use 'F' if it is a list of names in spanish and all of them are female names.
+      - Use 'NB' if it is a traditionally non binary name or you know this person is non binary.
+      - Use 'X' if it is an organization or entity that is not a person and has no gender.`;
 
-      const userPrompt = `JSON with the format { gender: 'M'|'F'|'CF'|'X'|'NB', confidence: number } where gender is the probable gender of a person with the name "${name}" and confidence is the decimal percentage of gender certainty. 'M' is for male, 'F' for female, 'CF' for a list of people where at least one is female, 'NB' for non-binary person, and 'X' for an organization or entity that is not a person and has no gender. Consider Latin American naming conventions.`;
+      const userPrompt = `JSON with the format { gender: 'M'|'F'|'CF'|'X'|'NB' } where gender is the probable gender of a person with the name "${name}".`;
 
-      const response = await env.AI.run('@cf/meta/llama-3.1-8b-instruct', {
+      const response = await env.AI.run('@cf/meta/llama-4-scout-17b-16e-instruct', {
         messages: [
           { role: 'system', content: systemPrompt },
           { role: 'user', content: userPrompt }
@@ -69,7 +75,7 @@ export default {
       }
 
       // Validate the response structure
-      if (!jsonResponse.gender || typeof jsonResponse.confidence !== 'number') {
+      if (!jsonResponse.gender) {
         return new Response(JSON.stringify({ 
           error: 'Invalid response structure',
           received: jsonResponse 

scripts/sendDms.js

@@ -79,8 +79,8 @@ export const sendDms = async (conn, token, ignoreDmSent = false) => {
         name
       });
       llmResponse = response.data;
-      const { gender, confidence } = llmResponse;
-      chooseLlmResponse = (gender === 'M' || gender === 'F') && confidence >= 0.95;
+      const { gender } = llmResponse;
+      chooseLlmResponse = (gender === 'M' || gender === 'F');
       if (chooseLlmResponse) {
         await conn.query('UPDATE columnistos.author SET gender = ? WHERE id = ?',
           [gender, id]
@@ -90,11 +90,10 @@ export const sendDms = async (conn, token, ignoreDmSent = false) => {
       llmError = error;
     }
     const genderResponse = llmResponse?.gender || '?';
-    const percentageResponse = (llmResponse?.confidence || 0) * 100
     await sendPrivateWoot(`
       ${adminHandlesString}
       Nuevo autor: ${id} ${name}
-      Predicción: ${genderResponse} Confianza: ${percentageResponse}%
+      Predicción: ${genderResponse}
       La predicción fue guardada: ${chooseLlmResponse === true ? 'Sí' : 'No' }${llmError ? `
       Error: ${llmError}` : ''}
       Buscar: https://duckduckgo.com/?q=${encodeURI(name)}&iax=images&ia=images
@@ -104,8 +103,8 @@ export const sendDms = async (conn, token, ignoreDmSent = false) => {
       Si es un grupo de co autores con al menos una mujer: ${id} CF
       Si es editorial o una organización: ${id} X`, { token });
     console.log(`Requested gender for author ${id} ${name}`);
-    if (chooseLlmResponse) console.log(`  Saved author gender ${genderResponse} with ${percentageResponse}% confidence`);
-    else console.log(`  Did not save author gender ${genderResponse} with ${percentageResponse}% confidence`);
+    if (chooseLlmResponse) console.log(`  Saved author gender ${genderResponse}`);
+    else console.log(`  Did not save author gender ${genderResponse}`);
     await conn.query('UPDATE columnistos.author SET dm_sent = 1 WHERE id = ?', [id]);
   }
 };