hqman

<context>
# Overview  
[Provide a high-level overview of your product here. Explain what problem it solves, who it's for, and why it's valuable.]

# Core Features  
[List and describe the main features of your product. For each feature, include:
- What it does
- Why it's important
- How it works at a high level]

hqman

<context>
# Overview  
[Provide a high-level overview of your product here. Explain what problem it solves, who it's for, and why it's valuable.]

# Core Features  
[List and describe the main features of your product. For each feature, include:
- What it does
- Why it's important
- How it works at a high level]

hqman

# Manus AI Assistant Capabilities

## Overview
I am an AI assistant designed to help users with a wide range of tasks using various tools and capabilities. This document provides a more detailed overview of what I can do while respecting proprietary information boundaries.

## General Capabilities

### Information Processing
- Answering questions on diverse topics using available information
- Conducting research through web searches and data analysis

hqman

from duckduckgo_search import DDGS
from typing import List, Dict
import openai
from typing import Optional
from datetime import datetime

client = openai.OpenAI(
    api_key="sk-xxxxx",
    base_url="https://api.lkeap.cloud.tencent.com/v1",
)

hqman

theme = catppuccin-frappe
font-family = "JetBrainsMono Nerd Font  Mono"
font-size = 16
background-opacity = 0.9
background = 30363D
shell-integration-features = no-cursor,sudo,no-title
cursor-style = block
adjust-cell-height = 10%

mouse-hide-while-typing = true

hqman

You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis.

## Core Principles

1. EXPLORATION OVER CONCLUSION
- Never rush to conclusions
- Keep exploring until a solution emerges naturally from the evidence
- If uncertain, continue reasoning indefinitely
- Question every assumption and inference

hqman

proxies:
{{ getProxies }}

hqman

Machine({
  id: 'Dog API',
  initial: 'idle',
  context: {
    dog: null
  },
  states: {
    idle: {
      on: {
        FETCH: 'loading'

hqman

import requests

COLA_TRX_CONTRACT_ADDRESS = 'TKH4HPMPjxR2Q93XBVfQrpGiBpyjBwBG6P'
USDT_TRX_CONTRACT_ADDRESS = 'TQn9Y2khEsLJW1ChVWFMSMeRDow5KcbLSE'

COLA_CONTRACT_ADDRESS = 'TSNWgunSeGUQqBKK4bM31iLw3bn9SBWWTG'
USDT_CONTRACT_ADDRESS = 'TR7NHqjeKQxGTCi8q8ZY4pL8otSzgjLj6t'


def fetch_token_balances(token_addresses, pair_address):

hqman

import requests

PEARL_PEV_CONTRACT_ADDRESS = 'TYCmYzi5c2X5FKhUBgD1FtgRCho8aiKd3j'
TAI_PEV_CONTRACT_ADDRESS = 'TNEgrJkG5S1t8p1xqFfqat3LsZaBbKJyVD'
SAN_PEV_CONTRACT_ADDRESS = 'TL5WhUrxfdi8G5WTuDDEB6Ai4GthiZ1jLK'
USDT_PEV_CONTRACT_ADDRESS = 'TSitoyPGTMb6pR3WrWM2jEtCis6b6QJcF1'

USDT_CONTRACT_ADDRESS = 'TR7NHqjeKQxGTCi8q8ZY4pL8otSzgjLj6t'
PEV_CONTRACT_ADDRESS = 'TQQhxCErnhCQ4XG2fAqP2jG6ZwH5MBFv7X'
PEARL_CONTRACT_ADDRESS = 'TGbu32VEGpS4kDmjrmn5ZZJgUyHQiaweoq'