LLM utility library
Fra
Dette scriptet burde ikke installeres direkte. Det er et bibliotek for andre script å inkludere med det nye metadirektivet // @require https://updategf.qytechs.cn/scripts/528704/1546611/SmolLLM.js
// ==UserScript==
// @name SmolLLM
// @namespace http://tampermonkey.net/
// @version 0.1
// @description LLM utility library
// @author RoCry
// @grant none
// @require https://update.greasyfork.org/scripts/528703/1546610/SimpleBalancer.js
// @license MIT
// ==/UserScript==
class SmolLLM {
constructor() {
// Ensure SimpleBalancer is available
if (typeof SimpleBalancer === 'undefined') {
throw new Error('SimpleBalancer is required for SmolLLM to work');
}
this.balancer = new SimpleBalancer();
this.logger = console;
}
/**
* Prepares request data based on the provider
*
* @param {string} prompt - User prompt
* @param {string} systemPrompt - System prompt
* @param {string} modelName - Model name
* @param {string} providerName - Provider name (anthropic, openai, gemini)
* @param {string} baseUrl - API base URL
* @returns {Object} - {url, data} for the request
*/
prepareRequestData(prompt, systemPrompt, modelName, providerName, baseUrl) {
baseUrl = baseUrl.trim().replace(/\/+$/, '');
let url, data;
if (providerName === 'anthropic') {
url = `${baseUrl}/v1/messages`;
data = {
model: modelName,
max_tokens: 4096,
messages: [{ role: 'user', content: prompt }],
stream: true
};
if (systemPrompt) {
data.system = systemPrompt;
}
} else if (providerName === 'gemini') {
url = `${baseUrl}/v1beta/models/${modelName}:streamGenerateContent?alt=sse`;
data = {
contents: [{ parts: [{ text: prompt }] }]
};
if (systemPrompt) {
data.system_instruction = { parts: [{ text: systemPrompt }] };
}
} else {
// OpenAI compatible APIs
const messages = [];
if (systemPrompt) {
messages.push({ role: 'system', content: systemPrompt });
}
messages.push({ role: 'user', content: prompt });
data = {
messages: messages,
model: modelName,
stream: true
};
// Handle URL based on suffix
if (baseUrl.endsWith('#')) {
url = baseUrl.slice(0, -1); // Remove the # and use exact URL
} else if (baseUrl.endsWith('/')) {
url = `${baseUrl}chat/completions`; // Skip v1 prefix
} else {
url = `${baseUrl}/v1/chat/completions`; // Default pattern
}
}
return { url, data };
}
/**
* Prepares headers for authentication based on the provider
*
* @param {string} providerName - Provider name
* @param {string} apiKey - API key
* @returns {Object} - Request headers
*/
prepareHeaders(providerName, apiKey) {
const headers = {
'Content-Type': 'application/json'
};
if (providerName === 'anthropic') {
headers['X-API-Key'] = apiKey;
headers['Anthropic-Version'] = '2023-06-01';
} else if (providerName === 'gemini') {
headers['X-Goog-Api-Key'] = apiKey;
} else {
headers['Authorization'] = `Bearer ${apiKey}`;
}
return headers;
}
/**
* Process SSE stream data for different providers
*
* @param {string} chunk - Data chunk from SSE
* @param {string} providerName - Provider name
* @returns {string|null} - Extracted text content or null
*/
processStreamChunk(chunk, providerName) {
if (!chunk || chunk === '[DONE]') return null;
try {
const data = JSON.parse(chunk);
if (providerName === 'anthropic') {
if (data.type === 'content_block_delta' && data.delta && data.delta.text) {
return data.delta.text;
}
} else if (providerName === 'gemini') {
if (data.candidates &&
data.candidates[0].content &&
data.candidates[0].content.parts &&
data.candidates[0].content.parts[0].text) {
return data.candidates[0].content.parts[0].text;
}
} else {
// OpenAI compatible
if (data.choices &&
data.choices[0].delta &&
data.choices[0].delta.content) {
return data.choices[0].delta.content;
}
}
} catch (e) {
// Ignore parsing errors in stream chunks
return null;
}
return null;
}
/**
* Makes a request to the LLM API and handles streaming responses
*
* @param {Object} params - Request parameters
* @returns {Promise<string>} - Full response text
*/
async askLLM({
prompt,
providerName,
systemPrompt = '',
model,
apiKey,
baseUrl,
handler = null,
timeout = 60000
}) {
if (!prompt || !providerName || !model || !apiKey || !baseUrl) {
throw new Error('Required parameters missing');
}
// Use balancer to choose API key and base URL pair
[apiKey, baseUrl] = this.balancer.choosePair(apiKey, baseUrl);
const { url, data } = this.prepareRequestData(
prompt, systemPrompt, model, providerName, baseUrl
);
const headers = this.prepareHeaders(providerName, apiKey);
// Log request info (with masked API key)
const apiKeyPreview = `${apiKey.slice(0, 5)}...${apiKey.slice(-4)}`;
this.logger.info(
`Sending ${url} model=${model} api_key=${apiKeyPreview}, len=${prompt.length}`
);
// Create abort controller for timeout
const controller = new AbortController();
const timeoutId = setTimeout(() => controller.abort(), timeout);
try {
const response = await fetch(url, {
method: 'POST',
headers: headers,
body: JSON.stringify(data),
signal: controller.signal
});
if (!response.ok) {
const errorText = await response.text();
throw new Error(`API request failed: ${response.status} - ${errorText}`);
}
// Handle streaming response
const reader = response.body.getReader();
const decoder = new TextDecoder();
let responseText = '';
let buffer = '';
while (true) {
const { done, value } = await reader.read();
if (done) break;
const chunk = decoder.decode(value);
buffer += chunk;
// Process SSE format (data: {...}\n\n)
const lines = buffer.split('\n\n');
buffer = lines.pop() || '';
for (const line of lines) {
if (!line.trim() || !line.startsWith('data: ')) continue;
const content = line.slice(6); // Remove 'data: ' prefix
const textChunk = this.processStreamChunk(content, providerName);
if (textChunk) {
responseText += textChunk;
if (handler && typeof handler === 'function') {
handler(textChunk);
}
}
}
}
return responseText;
} catch (error) {
if (error.name === 'AbortError') {
throw new Error(`Request timed out after ${timeout}ms`);
}
throw error;
} finally {
clearTimeout(timeoutId);
}
}
}
// Make it available globally
window.SmolLLM = SmolLLM;
// Export for module systems if needed
if (typeof module !== 'undefined') {
module.exports = SmolLLM;
}