workspace: initial clean commit
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116
tasks/scripts/token_summary.py
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116
tasks/scripts/token_summary.py
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import json
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import os
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from datetime import datetime, timezone
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import glob
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def parse_iso(timestamp):
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# Parse ISO timestamp with timezone
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try:
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dt = datetime.fromisoformat(timestamp.replace('Z', '+00:00'))
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return dt
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except Exception as e:
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print(f'Error parsing {timestamp}: {e}')
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return None
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def process_session_file(path):
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today = datetime(2026, 3, 22, tzinfo=timezone.utc)
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total_input = 0
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total_output = 0
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total_cost = 0.0
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model_counts = {}
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with open(path, 'r') as f:
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for line_num, line in enumerate(f, 1):
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line = line.strip()
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if not line:
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continue
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try:
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data = json.loads(line)
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except json.JSONDecodeError as e:
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continue
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# Check timestamp for today
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timestamp = data.get('timestamp')
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if not timestamp:
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continue
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dt = parse_iso(timestamp)
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if not dt:
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continue
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if dt.date() != today.date():
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continue
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# We need messages with usage (assistant responses)
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if data.get('type') == 'message':
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msg = data.get('message', {})
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if msg.get('role') == 'assistant' and 'usage' in msg:
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usage = msg['usage']
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input_tokens = usage.get('input', 0)
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output_tokens = usage.get('output', 0)
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cache_read = usage.get('cacheRead', 0)
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cache_write = usage.get('cacheWrite', 0)
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# cost may be inside usage['cost']
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cost = usage.get('cost', {})
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cost_total = cost.get('total', 0.0)
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model = msg.get('model', 'unknown')
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total_input += input_tokens
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total_output += output_tokens
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total_cost += cost_total
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# Track per model
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if model not in model_counts:
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model_counts[model] = {'input': 0, 'output': 0, 'cost': 0.0}
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model_counts[model]['input'] += input_tokens
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model_counts[model]['output'] += output_tokens
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model_counts[model]['cost'] += cost_total
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return total_input, total_output, total_cost, model_counts
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sessions_dir = '/home/node/.openclaw/agents/main/sessions'
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jsonl_files = glob.glob(os.path.join(sessions_dir, '*.jsonl'))
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print('📊 Сводка использования токенов за сегодня (2026-03-22)')
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print('=' * 60)
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overall_input = 0
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overall_output = 0
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overall_cost = 0.0
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all_model_counts = {}
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for file_path in jsonl_files:
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file_name = os.path.basename(file_path)
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print(f'\n📁 Файл сессии: {file_name}')
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inp, out, cost, models = process_session_file(file_path)
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print(f' Входные токены: {inp:,}')
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print(f' Выходные токены: {out:,}')
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print(f' Примерная стоимость: ${cost:.6f}')
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if models:
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for model, counts in models.items():
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print(f' Модель: {model}')
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print(f' вход: {counts[\"input\"]:,}, выход: {counts[\"output\"]:,}, стоимость: ${counts[\"cost\"]:.6f}')
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# Aggregate across files
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if model not in all_model_counts:
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all_model_counts[model] = counts.copy()
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else:
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all_model_counts[model]['input'] += counts['input']
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all_model_counts[model]['output'] += counts['output']
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all_model_counts[model]['cost'] += counts['cost']
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overall_input += inp
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overall_output += out
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overall_cost += cost
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print('\n' + '=' * 60)
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print('📈 ОБЩИЙ ИТОГ за сегодня:')
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print(f' Всего входных токенов: {overall_input:,}')
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print(f' Всего выходных токенов: {overall_output:,}')
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print(f' Общая стоимость: ${overall_cost:.6f}')
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print()
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print('📋 По моделям:')
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for model, counts in all_model_counts.items():
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print(f' • {model}')
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print(f' вход: {counts[\"input\"]:,} токенов, выход: {counts[\"output\"]:,} токенов')
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print(f' стоимость: ${counts[\"cost\"]:.6f}')
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print()
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print('💡 Примечание: стоимость может не включать кэшированные токены.')
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print(' Данные основаны на записях сессий.')
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91
tasks/scripts/usage_summary.py
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91
tasks/scripts/usage_summary.py
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import json
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import glob
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from datetime import datetime
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def parse_iso(timestamp):
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try:
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return datetime.fromisoformat(timestamp.replace('Z', '+00:00'))
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except:
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return None
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today = datetime(2026, 3, 22).date()
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sessions_dir = '/home/node/.openclaw/agents/main/sessions'
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jsonl_files = glob.glob(sessions_dir + '/*.jsonl')
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claude_input = 0
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claude_output = 0
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claude_cost = 0.0
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deepseek_input = 0
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deepseek_output = 0
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deepseek_cost = 0.0
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for file_path in jsonl_files:
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with open(file_path, 'r') as f:
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for line in f:
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line = line.strip()
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if not line:
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continue
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try:
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data = json.loads(line)
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except:
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continue
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if data.get('type') != 'message':
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continue
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msg = data.get('message', {})
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if msg.get('role') != 'assistant' or 'usage' not in msg:
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continue
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timestamp = data.get('timestamp')
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if not timestamp:
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continue
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dt = parse_iso(timestamp)
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if not dt or dt.date() != today:
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continue
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usage = msg['usage']
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inp = usage.get('input', 0)
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out = usage.get('output', 0)
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cost = usage.get('cost', {}).get('total', 0.0)
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model = msg.get('model', '')
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if 'claude' in model.lower():
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claude_input += inp
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claude_output += out
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claude_cost += cost
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elif 'deepseek' in model.lower():
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deepseek_input += inp
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deepseek_output += out
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deepseek_cost += cost
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total_input = claude_input + deepseek_input
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total_output = claude_output + deepseek_output
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total_cost = claude_cost + deepseek_cost
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print('=== Сводка использования OpenRouter за 22 марта 2026 ===')
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print()
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print('📊 По моделям:')
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print('1. Claude Sonnet 4.6')
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print(' • Входные токены:', f'{claude_input:,}')
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print(' • Выходные токены:', f'{claude_output:,}')
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print(' • Стоимость: $' + f'{claude_cost:.6f}')
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print()
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print('2. DeepSeek V3.2')
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print(' • Входные токены:', f'{deepseek_input:,}')
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print(' • Выходные токены:', f'{deepseek_output:,}')
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print(' • Стоимость: $' + f'{deepseek_cost:.6f}')
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print()
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print('📈 ИТОГО:')
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print(' Всего входных токенов:', f'{total_input:,}')
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print(' Всего выходных токенов:', f'{total_output:,}')
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print(' Общая стоимость: $' + f'{total_cost:.6f}')
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print()
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print('💎 Средняя стоимость за 1 тыс. входных токенов:')
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if total_input > 0:
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avg = total_cost / total_input * 1000
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print(' $' + f'{avg:.6f}')
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else:
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print(' N/A')
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print()
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print('🔄 Переход на DeepSeek:')
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print(' • Claude использовался до ~06:30 UTC')
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print(' • DeepSeek используется с ~06:30 UTC')
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print()
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print('💡 Примечание: входные токены включают контекст всей сессии,')
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print(' который пересылается при каждом запросе. Выходные токены — ответы модели.')
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