Andre Saddler axsddlr

OpenClaw: System Prompt File Templates

Generalized versions of all root .md files used by OpenClaw. These files are loaded into the agent's system prompt on every request (except MEMORY.md which is conditional).

Copy these as starting points and customize for your own setup. Replace <placeholders> with your values.

AGENTS.md

Options 1

use this to provide your own values for dynamic rules

You must include these keys in the neseted dictionary

"static_param"
"suffix"
"prefix"
"checksum_indexes"

How to fetch valorant user inventory(in python)?

There is no endpoint available to fetch inventory. Wait a second ? how does the game fetch user skins, player_cards, buddy, etc? So, After digging into Valorant I found the user inventory.

I created down below a basic python code that fetches the Valorant user inventory.

import request

	# NOTE:
	# You can find an updated, more robust and feature-rich implementation
	# in Zeno Build
	# - Zeno Build: https://github.com/zeno-ml/zeno-build/
	# - Implementation: https://github.com/zeno-ml/zeno-build/blob/main/zeno_build/models/providers/openai_utils.py

	import openai
	import asyncio
	from typing import Any

	import os
	import torch

	import gradio as gr

	from modules import script_callbacks, scripts, shared


	class CLIPBlend:
	def __init__(self):

	import requests
	import os.path
	import re
	import time

	# SteampunkEngi's Shitty Scraper Script for CivitAI. Source: https://gist.github.com/SteapunkEngi/a61c73545c27e9afc4b73316af7274dc
	# This script automatically scrapes all models of a type. downloads the model/Model/whatever + all metadata + thumbnail picture
	# Made for python 3.10, other versions not tested
	# Looking for manual downloads? see https://github.com/axsddlr/civitai_downloader

	import os
	import argparse
	import torch
	import numpy as np
	from tqdm import tqdm

	parser = argparse.ArgumentParser(description="Merge models with weighted similarity")
	parser.add_argument("a", type=str, help="Path to model a")
	parser.add_argument("b", type=str, help="Path to model b")
	parser.add_argument("--out", type=str, help="Output file name, without extension", default="merged", required=False)

	# Script by https://github.com/ProGamerGov
	import copy
	import torch
	import numpy as np

	# Path to model and VAE files that you want to merge
	vae_file_path = "vae-ft-mse-840000-ema-pruned.ckpt"
	model_file_path = "v1-5-pruned-emaonly.ckpt"

	# Name to use for new model file

	{
	"characters": {
	"5f8d3a7f-467b-97f3-062c-13acf203c006": "Breach",
	"f94c3b30-42be-e959-889c-5aa313dba261": "Raze",
	"6f2a04ca-43e0-be17-7f36-b3908627744d": "Skye",
	"117ed9e3-49f3-6512-3ccf-0cada7e3823b": "Cypher",
	"320b2a48-4d9b-a075-30f1-1f93a9b638fa": "Sova",
	"1e58de9c-4950-5125-93e9-a0aee9f98746": "Killjoy",
	"707eab51-4836-f488-046a-cda6bf494859": "Viper",
	"eb93336a-449b-9c1b-0a54-a891f7921d69": "Phoenix",

	# copied from https://github.com/tulir/mautrix-telegram/blob/master/mautrix_telegram/util/parallel_file_transfer.py
	# Copyright (C) 2021 Tulir Asokan
	import asyncio
	import hashlib
	import inspect
	import logging
	import math
	import os
	from collections import defaultdict
	from typing import Optional, List, AsyncGenerator, Union, Awaitable, DefaultDict, Tuple, BinaryIO