ayushchopra96

from typing import Optional
import asyncio
from contextlib import AsyncExitStack
from mcp import ClientSession
from mcp.client.stdio import stdio_client
#from custom_transport import insecure_sse_client
from mcp.client.sse import sse_client
import os

from anthropic import Anthropic

ayushchopra96

import mcp
from mcp.client.streamable_http import streamablehttp_client
import base64
import asyncio
import json
import uuid
import traceback

async def connect_to_mcp(mcp_server_url):
    """Connect to MCP server and return available tools"""

ayushchopra96

# agent_bridge.py
import os
import uuid
import traceback
import json
import threading
import requests
from typing import Optional
from datetime import datetime
from anthropic import Anthropic, APIStatusError

ayushchopra96

def f(x, grad=True):
  y = x**2
  if grad:
    return y, dy_dx
    
  return y
  
def g(y, grad=True):
  z =  3*y**3 + 10
  if grad:

ayushchopra96

# API Specification for run_ui_agent.py

Here's a summary of the API endpoints exposed by the `run_ui_agent.py` Flask application:

## Health Check
- **Endpoint**: `/api/health`
- **Method**: GET
- **Description**: Simple health check to verify the agent is running
- **Response**: `{"status": "ok", "agent_id": "<agent_id>"}`

ayushchopra96

This is my code

ayushchopra96

import torch
import torch.nn as nn
import torch.optim as optim
import torch.utils.data as data
import wandb
import numpy as np
import time
from datetime import datetime

def create_random_dataset(num_samples=1000, input_shape=(1, 28, 28), num_classes=10):

ayushchopra96

simulation_metadata:
  device: 'cpu'
  num_episodes: 100
  num_steps_per_episode: 1000
  num_substeps_per_step: 5
  calibration: false
  visualize: true

  max_x: 1000
  max_y: 1000

ayushchopra96

import numpy as np
import sys, os

# Edit the paths as needed:
caffe_root = '../caffe/'
sys.path.insert(0, caffe_root + 'python')

import caffe

# Path to your combined net prototxt files:

ayushchopra96

MySQL

Getting started:

• http://www.sqlteaching.com/
• https://www.codecademy.com/courses/learn-sql

Related tutorials:

• MySQL-CLI
• Analyzing Business Metrics