OneLi ב־OpenAI Agents SDK

pip install openai-agents httpx   # or: npm i @openai/agents zod

import asyncio, os
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    async with MCPServerStreamableHttp(
        name="OneLi",
        params={"url": "https://mcp.oneli.io/mcp",
                "headers": {"Authorization": f"Bearer {os.environ['ONELI_API_KEY']}"},
                "timeout": 30},
        client_session_timeout_seconds=60,   # default 5s is too short
        cache_tools_list=True,
    ) as oneli:
        agent = Agent(name="Assistant", instructions="Use OneLi to place calls.", mcp_servers=[oneli])
        print((await Runner.run(agent, "Call +972… and book a table for 2 at 19:00")).final_output)

asyncio.run(main())

from agents import Agent, HostedMCPTool
agent = Agent(name="Assistant", tools=[HostedMCPTool(tool_config={
    "type": "mcp", "server_label": "oneli", "server_url": "https://mcp.oneli.io/mcp",
    "headers": {"Authorization": f"Bearer {os.environ['ONELI_API_KEY']}"}, "require_approval": "never"})])

import os, uuid, httpx
from agents import function_tool

@function_tool
async def create_call_task(to_number: str, goal: str, instructions: str | None = None) -> dict:
    """Have OneLi place a phone call. to_number in E.164."""
    body = {"idempotency_key": str(uuid.uuid4()), "to_number": to_number, "goal": goal}
    if instructions: body["instructions"] = instructions
    async with httpx.AsyncClient(timeout=30) as c:
        r = await c.post("https://api.oneli.io/v1/call-tasks", json=body,
                         headers={"Authorization": f"Bearer {os.environ['ONELI_API_KEY']}"})
        r.raise_for_status(); return r.json()

import { Agent, run, MCPServerStreamableHttp, tool } from '@openai/agents';
import { z } from 'zod';

const oneli = new MCPServerStreamableHttp({
  name: 'OneLi', url: 'https://mcp.oneli.io/mcp',
  requestInit: { headers: { Authorization: `Bearer ${process.env.ONELI_API_KEY}` } },
  cacheToolsList: true,
});
await oneli.connect();
try {
  const agent = new Agent({ name: 'Assistant', instructions: 'Use OneLi to place calls.', mcpServers: [oneli] });
  console.log((await run(agent, 'Call +972… and book a table')).finalOutput);
} finally { await oneli.close(); }

// Hosted: hostedMcpTool({ serverLabel:'oneli', serverUrl:'https://mcp.oneli.io/mcp', headers:{Authorization:`Bearer ${key}`}, requireApproval:'never' })

export const createCallTask = tool({
  name: 'create_call_task', description: 'Have OneLi place a phone call. to_number in E.164.',
  parameters: z.object({ to_number: z.string(), goal: z.string(), instructions: z.string().nullable() }), // strict mode: nullable, not optional
  async execute({ to_number, goal, instructions }) {
    const r = await fetch('https://api.oneli.io/v1/call-tasks', { method: 'POST',
      headers: { Authorization: `Bearer ${process.env.ONELI_API_KEY}`, 'Content-Type': 'application/json' },
      body: JSON.stringify({ idempotency_key: crypto.randomUUID(), to_number, goal, ...(instructions ? { instructions } : {}) }) });
    if (!r.ok) throw new Error(`OneLi ${r.status}: ${await r.text()}`);
    return r.json();
  },
});