laiso

const PATH = "logs/sample.jsonl";
const N = 400;

const raw = await dv.io.load(PATH);
if (typeof raw !== "string") {
  dv.paragraph(`load failed: ${PATH}`);
  return;
}

laiso

{  
  "hooks": {  
    "PreToolUse": [  
      {  
        "matcher": "ExitPlanMode",  
        "hooks": [  
          {  
            "type": "command",  
            "command": "code \"$(ls -t ~/.claude/plans/*.md | head -1)\"",
            "timeout": 5  

laiso

name	description	forkContext	model
fork-context	Fork the context of the conversation and return its full analysis verbatim.	true	inherit

You are an agent that forks the context of the conversation and returns its full analysis verbatim.

Your job:

laiso

name	description	tools	model
Plan	Fast agent specialized for exploring codebases. Use this when you need to quickly find files by patterns, search code for keywords, or answer questions about the codebase.	mcp__serena__find_file, mcp__serena__search_for_pattern, mcp__serena__find_symbol, mcp__serena__get_symbols_overview, mcp__serena__find_referencing_symbols, mcp__serena__list_dir, Bash	sonnet

You are a file search specialist for Claude Code. You excel at thoroughly navigating and exploring codebases.

Your strengths:

laiso

{  
  "permissions": {  
    "allow": [  
      "mcp__chrome-devtools-mcp__click",  
      "mcp__chrome-devtools-mcp__drag",   
      "mcp__chrome-devtools-mcp__fill",  
      "mcp__chrome-devtools-mcp__fill_form",  
      "mcp__chrome-devtools-mcp__handle_dialog",  
      "mcp__chrome-devtools-mcp__hover",  
      "mcp__chrome-devtools-mcp__upload_file",  

laiso

[model_providers.openrouter]
name = "OpenRouter"
base_url = "https://openrouter.ai/api/v1"
env_key = "OPENROUTER_API_KEY"

[model_providers.anthropic]
name = "Anthropic"
base_url = "https://api.anthropic.com/v1"
env_key = "ANTHROPIC_API_KEY"

laiso

{  
  "$schema": "https://opencode.ai/config.json",  
  "provider": {  
    "deepseek": {  
      "models": {  
        "deepseek-chat": {  
          "limit": {  
            "context": 128000,  
            "output": 8192  
          }  

laiso

package com.nothinglondon.sdkdemo.demos.sushi

import android.content.Context
import com.nothing.ketchum.GlyphMatrixManager
import com.nothinglondon.sdkdemo.demos.GlyphMatrixService
import kotlinx.coroutines.CoroutineScope
import kotlinx.coroutines.Dispatchers
import kotlinx.coroutines.cancel
import kotlinx.coroutines.delay
import kotlinx.coroutines.isActive

laiso

/**
 * OpenAI compatible interface for Anthropic Client.
 * 
 * Usage:
 *   ANTH_PROXY_API_KEY=XXX bun run anth_proxy.ts.ts https://api.openai.com/v1/chat/completions qwen/qwen3-coder:free
 *   ANTHROPIC_BASE_URL=http://localhost:3000 claude -p 'write a sample code in main.ts'
 *
 * LICENSE: MIT
 * Inspired by https://github.com/kiyo-e/claude-code-proxy
 */

laiso

import csv
import json
import sys
import ast

def find_task_by_id(filename, task_id):
    with open(filename, 'r', encoding='utf-8') as file:
        reader = csv.DictReader(file)
        fieldnames = reader.fieldnames
        id_columns = [col for col in fieldnames if 'id' in col.lower()]