The platform
for agents.
One key. All tools.

from openai import OpenAI
import requests, json

API_KEY = "sk-proxy-TU_API_KEY"
MCP     = "https://mcp.llm4agents.com/mcp"
HDRS    = {"Authorization": f"Bearer {API_KEY}"}

# 1. Auto-inyecta TODAS las MCP tools — el modelo decide cuál usar
mcp_tools = requests.post(MCP, headers=HDRS,
    json={"jsonrpc": "2.0", "id": 1, "method": "tools/list"}).json()["result"]["tools"]

tools = [{"type": "function", "function": {
    "name": t["name"], "description": t["description"],
    "parameters": t["inputSchema"]}} for t in mcp_tools]

# 2. Chat — el modelo elige según el prompt
client = OpenAI(api_key=API_KEY, base_url="https://api.llm4agents.com/v1")
resp = client.chat.completions.create(
    model="anthropic/claude-sonnet-4", tools=tools,
    messages=[{"role": "user", "content": "Busca BTC y resume"}])

# 3. Ejecuta las tool_calls que pida el modelo (misma api_key)
for c in resp.choices[0].message.tool_calls or []:
    out = requests.post(MCP, headers=HDRS, json={"jsonrpc": "2.0", "id": 2,
        "method": "tools/call", "params": {
            "name": c.function.name,
            "arguments": json.loads(c.function.arguments)}})
    print(out.json())

// La forma más simple — SDK oficial: el LLM ve TODAS las MCP tools y decide
import { LLM4AgentsClient } from '@llmforagents/sdk';

const client = new LLM4AgentsClient({ apiKey: process.env.LLM4AGENTS_API_KEY! });

const conv = client.chat.conversation({
  model: 'anthropic/claude-sonnet-4',
  tools: client.tools,        // ← scraper, search, image — todo inyectado
  maxToolRounds: 5,           // loop tool→model automático
});

const { content, toolCalls } = await conv.say(
  'Busca el precio de BTC y resume las 3 noticias más relevantes'
);

console.log(content);
console.log(toolCalls);  // [{name:'google_search',...}, {name:'google_news',...}]

// Sin SDK propio? Usa el patrón "tools/list → openai.tools" del tab Python.

# Paso 1: Registrar agente → obtener API key
curl -X POST https://api.llm4agents.com/api/v1/agents/register \
  -H "Content-Type: application/json" \
  -d '{"name": "mi_agente_sales"}'

# → {"agent_id":"agt_7x9km","api_key":"sk-proxy-abc123..."}
# Guarda la api_key — se muestra solo una vez

# Paso 2: Generar wallet de depósito
curl -X POST https://api.llm4agents.com/api/v1/wallets/generate \
  -H "Authorization: Bearer sk-proxy-abc123" \
  -d '{"chain":"solana","token":"USDT"}'

# → {"address":"5xK2...9mPq"} — envía USDT aquí

# MCP: búsqueda Google desde tu agente
curl -X POST https://mcp.llm4agents.com/mcp \
  -H "Authorization: Bearer sk-proxy-TU_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "method": "tools/call",
    "params": {
      "name": "google_search",
      "arguments": { "q": "AI agents market 2026" }
    }
  }'

# MCP: scraping con proxy datacenter
curl -X POST https://mcp.llm4agents.com/mcp \
  -H "Authorization: Bearer sk-proxy-TU_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "method": "tools/call",
    "params": {
      "name": "markdown",
      "arguments": {
        "url": "https://example.com/pricing",
        "proxy_tier": "datacenter"
      }
    }
  }'

# Misma api_key · Mismo balance · MCP Streamable HTTP
# X-Cost-Usd-Cents: 9  |  X-Balance-Remaining-Cents: 4379