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API Access

You can access search results via JSON API by adding format=json to your query:

https://codesearch.val.run/$%7Bart_info.art.src%7D?q=api&page=16&format=json

For typeahead suggestions, use the /typeahead endpoint:

https://codesearch.val.run/typeahead?q=api

Returns an array of strings in format "username" or "username/projectName"

Found 11489 results for "api"(1069ms)

Files 10776Projects 658Users 14Docs 41

myApi1 file match

@emohamed•Updated 1 year ago

myApi1 file match

@itsfiggers•Updated 1 year ago

myApi1 file match

@jmelis•Updated 1 year ago

myApi1 file match

@markm247•Updated 1 year ago

myApi1 file match

@fdurham•Updated 1 year ago

myApi1 file match

@conanak99•Updated 1 year ago

myApi1 file match

@cganoo•Updated 1 year ago

myApi1 file match

@gugge•Updated 1 year ago

myApi1 file match

@amirmasoudabdol•Updated 1 year ago

myApi1 file match

@charlesfrisbee•Updated 1 year ago

Files

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untitled-2604new-file-9513.tsx24 matches

@al0•Updated 1 hour ago
1// Creado por Alfonso Boldo
2// Sistema de Prueba de APIs de LLMs para ValTown
3// Fecha: 05 de mayo de 2025
4
5// Este sistema permite probar distintas APIs de LLMs como ChatGPT (OpenAI) y Claude (Anthropic)
6// Puede implementarse en ValTown como un endpoint HTTP
7
26    
27    // Extraer parámetros
28    const { provider, apiKey, prompt, model, temperature, maxTokens } = body;
29    
30    // Validar parámetros requeridos
31    if (!provider || !apiKey || !prompt) {
32      return new Response(
33        JSON.stringify({ 
34          error: 'Se requieren los parámetros: provider, apiKey y prompt' 
35        }),
36        { status: 400, headers }
43    switch (provider.toLowerCase()) {
44      case 'openai':
45        result = await callOpenAI(apiKey, prompt, model || 'gpt-4o', temperature || 0.7, maxTokens || 1000);
46        break;
47      case 'anthropic':
48        result = await callClaude(apiKey, prompt, model || 'claude-3-5-sonnet-20240521', temperature || 0.7, maxTokens || 1000);
49        break;
50      default:
73}
74
75// Función para llamar a la API de OpenAI
76async function callOpenAI(apiKey, prompt, model, temperature, maxTokens) {
77  const url = 'https://api.openai.com/v1/chat/completions';
78  
79  const response = await fetch(url, {
81    headers: {
82      'Content-Type': 'application/json',
83      'Authorization': `Bearer ${apiKey}`
84    },
85    body: JSON.stringify({
108}
109
110// Función para llamar a la API de Claude (Anthropic)
111async function callClaude(apiKey, prompt, model, temperature, maxTokens) {
112  const url = 'https://api.anthropic.com/v1/messages';
113  
114  const response = await fetch(url, {
116    headers: {
117      'Content-Type': 'application/json',
118      'x-api-key': apiKey,
119      'anthropic-version': '2023-06-01'
120    },
153    <meta charset="UTF-8">
154    <meta name="viewport" content="width=device-width, initial-scale=1.0">
155    <title>Probador de APIs de LLMs</title>
156    <style>
157      body {
232  </head>
233  <body>
234    <h1>Probador de APIs de LLMs</h1>
235    <p>Esta herramienta te permite probar diferentes APIs de modelos de lenguaje como OpenAI (ChatGPT) y Claude (Anthropic).</p>
236    
237    <div class="container">
245      
246      <div class="form-group">
247        <label for="apiKey">API Key:</label>
248        <input type="password" id="apiKey" placeholder="Ingresa tu API key aquí">
249      </div>
250      
353      submitBtn.addEventListener('click', async () => {
354        const provider = document.getElementById('provider').value;
355        const apiKey = document.getElementById('apiKey').value;
356        const model = document.getElementById('model').value;
357        const temperature = parseFloat(document.getElementById('temperature').value);
360        
361        // Validar campos
362        if (!apiKey || !prompt) {
363          alert('Por favor completa todos los campos requeridos.');
364          return;
371          
372          // URL del endpoint (reemplaza con la URL real de tu Val en ValTown)
373          const endpointUrl = 'https://api.val.town/v1/run/tu-usuario/llm-api-tester';
374          
375          // Enviar solicitud
381            body: JSON.stringify({
382              provider,
383              apiKey,
384              prompt,
385              model,

morningmailmain.tsx1 match

@flymaster•Updated 1 hour ago
11async function wikitext(): string {
12  const randomArticle = await fetch(
13    "https://en.wikipedia.org/w/api.php?action=query&format=json&prop=extracts&exintro&explaintext&redirects=1&generator=random&formatversion=2&grnnamespace=0&grnlimit=3",
14  );
15  const articleJson = await randomArticle.json();

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