Add automatic web search for current events queries
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- Detect keywords like 'latest', 'news', 'current', '2026' etc
- Append :online suffix to model for web search + AI response
- Retry logic: if web search fails, fall back to regular response
- Increased timeout to 90s for web search queries
- Fixed typo in fallback error handling
This commit is contained in:
2026-03-09 16:40:13 -04:00
parent 8b1ece727d
commit b1fff6f337
+70 -23
View File
@@ -1,11 +1,18 @@
// ai.js - NanoGPT API wrapper for kekbot with fallback support
// ai.js - NanoGPT API wrapper for kekbot with fallback and web search support
// Copyright (C) 2025 Luis Bauza
import axios from 'axios';
const DEFAULT_MODEL = 'GLM-4.5-Air-Derestricted-Steam-ReExtract';
const DEFAULT_MODEL = 'GLM-4.5-Air-Derestricted';
const FALLBACK_MODEL = 'GLM-4.7-Flash';
const FALLBACK_API_URL = 'https://api.z.ai/api/paas/v4/chat/completions';
const FALLBACK_API_URL = 'https://api.z.ai/api/coding/paas/v4/chat/completions';
// Keywords that suggest the user wants current/web information
const WEB_SEARCH_TRIGGERS = [
'latest', 'news', 'current', 'today', 'yesterday', 'this week',
'what is the', 'who is', 'what happened', 'search', 'find',
'how do i', 'how to', 'what\'s the best', 'top ', '2024', '2025', '2026'
];
const SASSY_SYSTEM_PROMPT = `You are kekbot, a sassy Discord chatter with a big personality.
@@ -19,7 +26,7 @@ CORE PERSONALITY:
OPINIONS:
- You're a true gamer with strong opinions about games
- You hate League of Legends and Riot Games with a passion - but only bring it up when asked
- You hate League of Legends and Riot Games with a passion - - but only bring it up when asked
- When asked about other games, respond normally without mentioning LoL
- You have views on politics and aren't afraid to share them from a Democrat/Libertarian perspective
@@ -43,9 +50,9 @@ CONTEXT: You're chatting in a Discord server. Multiple people might be talking.
const conversationHistory = new Map();
const MAX_HISTORY_PER_CHANNEL = 10;
// Estimate token count (rough approximation: ~4 chars per token)
function estimateTokens(text) {
return Math.ceil(text.length / 4);
function shouldUseWebSearch(prompt) {
const lowerPrompt = prompt.toLowerCase();
return WEB_SEARCH_TRIGGERS.some(trigger => lowerPrompt.includes(trigger));
}
function buildMessages(history, prompt, mentionedUsername, systemPrompt) {
@@ -54,28 +61,36 @@ function buildMessages(history, prompt, mentionedUsername, systemPrompt) {
...history,
{
role: 'user',
content: mentionedUsername ? `${mentionedUsername}: ${prompt}` : prompt,
},
content: mentionedUsername
? `${mentionedUsername}: ${prompt}`
: prompt
}
];
return messages;
}
async function callNanoGPT(messages, model) {
function getModelWithSearch(model) {
return `${model}:online`;
}
async function callNanoGPT(messages, model, useWebSearch = false) {
const modelToUse = useWebSearch ? getModelWithSearch(model) : model;
const response = await axios.post(
'https://nano-gpt.com/api/v1/chat/completions',
{
model: model,
model: modelToUse,
messages: messages,
temperature: 0.8,
max_tokens: 500,
max_tokens: 800,
},
{
headers: {
Authorization: `Bearer ${process.env.NANOGPT_API_KEY}`,
'Content-Type': 'application/json',
},
timeout: 60000,
},
timeout: 90000, // Longer timeout for web search
}
);
return response.data.choices[0].message.content;
}
@@ -95,27 +110,62 @@ async function callFallbackAPI(messages) {
'Content-Type': 'application/json',
},
timeout: 60000,
},
}
);
return response.data.choices[0].message.content;
}
async function callNanoGPTWithRetry(messages, model, useWebSearch = false, maxRetries = 2) {
let lastError;
for (let attempt = 0; attempt <= maxRetries; attempt++) {
try {
return await callNanoGPT(messages, model, useWebSearch);
} catch (error) {
lastError = error;
console.error(`NanoGPT attempt ${attempt + 1} failed:`, error.message);
// If it's a web search failure, try without web search
if (useWebSearch && attempt === 0) {
console.log('Web search failed, retrying without...');
try {
return await callNanoGPT(messages, model, false);
} catch (retryError) {
console.error('Retry without web search also failed:', retryError.message);
}
}
// Wait before retry (exponential backoff)
if (attempt < maxRetries) {
await new Promise(resolve => setTimeout(resolve, 1000 * (attempt + 1)));
}
}
}
throw lastError;
}
export async function getAIResponse(prompt, channelId, mentionedUsername) {
const history = conversationHistory.get(channelId) || [];
const messages = buildMessages(history, prompt, mentionedUsername, SASSY_SYSTEM_PROMPT);
const model = process.env.NANO_MODEL || DEFAULT_MODEL;
// Determine if we should use web search
const useWebSearch = shouldUseWebSearch(prompt);
if (useWebSearch) {
console.log('Web search enabled for query:', prompt.substring(0, 50));
}
// Try NanoGPT first
if (process.env.NANOGPT_API_KEY) {
try {
console.log('Attempting NanoGPT...');
const aiResponse = await callNanoGPT(messages, model);
console.log(useWebSearch ? 'Attempting NanoGPT with web search...' : 'Attempting NanoGPT...');
const aiResponse = await callNanoGPTWithRetry(messages, model, useWebSearch);
// Update history on success
const newHistory = [
...history,
{ role: 'user', content: prompt },
{ role: 'assistant', content: aiResponse },
{ role: 'assistant', content: aiResponse }
];
if (newHistory.length > MAX_HISTORY_PER_CHANNEL) {
@@ -139,7 +189,7 @@ export async function getAIResponse(prompt, channelId, mentionedUsername) {
const newHistory = [
...history,
{ role: 'user', content: prompt },
{ role: 'assistant', content: aiResponse },
{ role: 'assistant', content: aiResponse }
];
if (newHistory.length > MAX_HISTORY_PER_CHANNEL) {
@@ -149,10 +199,7 @@ export async function getAIResponse(prompt, channelId, mentionedUsername) {
return aiResponse;
} catch (fallbackError) {
console.error(
'Fallback API also failed:',
fallbackError.response?.data || fallbackError.message,
);
console.error('Fallback API also failed:', fallbackError.response?.data || fallbackError.message);
throw new Error('All AI providers failed');
}
}