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  "startTime": "2026-02-11T17:21:11.711Z",
  "lastUpdated": "2026-02-11T17:31:51.952Z",
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    {
      "id": "fee3ca2e-5206-4ed0-a8e2-43b983a638d1",
      "timestamp": "2026-02-11T17:21:11.711Z",
      "type": "info",
      "content": "Gemini CLI update available! 0.28.0 → 0.28.1\nInstalled via Homebrew. Please update with \"brew upgrade gemini-cli\"."
    },
    {
      "id": "78ca9582-44f6-4284-a5f2-3001a735a938",
      "timestamp": "2026-02-11T17:21:43.179Z",
      "type": "user",
      "content": [
        {
          "text": "write a script which tells me the average bandwidth usage over the last 12 months for an account. see @bwsuage.py for how we work out bandwidth"
        },
        {
          "text": "\n--- Content from referenced files ---"
        },
        {
          "text": "\nContent from @bwsuage.py:\n"
        },
        {
          "text": "import boto3\nfrom datetime import datetime, timedelta\n\ndef get_all_accounts():\n    \"\"\"Fetches every account ID and Name in the organization.\"\"\"\n    org_client = boto3.client('organizations')\n    account_map = {}\n    try:\n        paginator = org_client.get_paginator('list_accounts')\n        for page in paginator.paginate():\n            for account in page['Accounts']:\n                # Only include active accounts to avoid confusion\n                if account['Status'] == 'ACTIVE':\n                    account_map[account['Id']] = account['Name']\n    except Exception as e:\n        print(f\"Error fetching account list: {e}\")\n    return account_map\n\ndef get_total_bandwidth_report(threshold_gb=100.0):\n    ce_client = boto3.client('ce')\n    \n    # 1. Get the master list of all accounts\n    all_accounts = get_all_accounts()\n    if not all_accounts:\n        print(\"Could not retrieve account list. Check Organizations permissions.\")\n        return\n\n    # 2. Set dates for previous month\n    now = datetime.now()\n    first_day_current = now.replace(day=1)\n    last_day_prev = first_day_current - timedelta(days=1)\n    start_date = last_day_prev.replace(day=1).strftime('%Y-%m-%d')\n    end_date = first_day_current.strftime('%Y-%m-%d')\n\n    # 3. Initialize tracking for all accounts at 0.0\n    account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n    \n    next_token = None\n\n    try:\n        # 4. Query Cost Explorer (with pagination)\n        while True:\n            params = {\n                'TimePeriod': {'Start': start_date, 'End': end_date},\n                'Granularity': 'MONTHLY',\n                'Metrics': ['UsageQuantity'],\n                'GroupBy': [\n                    {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n                    {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n                ]\n            }\n            if next_token:\n                params['NextPageToken'] = next_token\n\n            response = ce_client.get_cost_and_usage(**params)\n\n            for result in response['ResultsByTime']:\n                for group in result['Groups']:\n                    acc_id = group['Keys'][0]\n                    usage_type = group['Keys'][1]\n                    usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n                    unit = group['Metrics']['UsageQuantity']['Unit']\n\n                    # Broad filter for Data Transfer\n                    if \"DataTransfer\" in usage_type:\n                        if unit == 'Bytes':\n                            usage_amount /= (1024**3)\n                        elif unit in ['MB', 'Megabytes']:\n                            usage_amount /= 1024\n                        \n                        # Add to total if account exists in our master list\n                        if acc_id in account_totals:\n                            account_totals[acc_id] += usage_amount\n                        else:\n                            # Account might have been deleted/closed but has historical data\n                            account_totals[acc_id] = usage_amount\n\n            next_token = response.get('NextPageToken')\n            if not next_token:\n                break\n\n        # 5. Generate the Final Report\n        print(f\"\\n--- Full Bandwidth Report (Incl. 0 Usage) ---\")\n        print(f\"Period: {start_date} to {last_day_prev.strftime('%Y-%m-%d')}\")\n        print(f\"{'Account Name':<25} | {'Total GB':<12} | {'Overage (>100GB)'}\")\n        print(\"-\" * 75)\n\n        # Sort: Highest usage first, then alphabetically for 0-usage accounts\n        sorted_accounts = sorted(\n            account_totals.items(), \n            key=lambda x: (x[1], all_accounts.get(x[0], x[0])), \n            reverse=True\n        )\n        \n        for acc_id, total_usage in sorted_accounts:\n            acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n            overage = max(0, total_usage - threshold_gb)\n            \n            status_icon = \"⚠️\" if overage > 0 else \"✅\"\n            usage_str = f\"{total_usage:>10.2f} GB\"\n            overage_str = f\"{overage:>8.2f} GB {status_icon}\"\n            \n            # Highlight accounts with actual usage\n            print(f\"{acc_name[:25]:<25} | {usage_str} | {overage_str}\")\n\n        print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n        print(f\"Accounts with >0 usage: {len([v for v in account_totals.values() if v > 0])}\")\n\n    except Exception as e:\n        print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n    get_total_bandwidth_report(100.0)"
        },
        {
          "text": "\n--- End of content ---"
        }
      ],
      "displayContent": [
        {
          "text": "write a script which tells me the average bandwidth usage over the last 12 months for an account. see @bwsuage.py for how we work out bandwidth"
        }
      ]
    },
    {
      "id": "7d7eb510-dd7e-401f-90af-7afea89b18b9",
      "timestamp": "2026-02-11T17:22:03.152Z",
      "type": "gemini",
      "content": "I will create a new script named `avg_bandwidth_12months.py` that calculates the average monthly bandwidth usage for each account in your organization over the last 12 months, following the bandwidth calculation logic found in `bwsuage.py`.",
      "thoughts": [
        {
          "subject": "Calculating AWS Bandwidth",
          "description": "I'm focusing on crafting a script to determine average bandwidth consumption across an AWS account for the past year. I'm leveraging `bwusage.py` as a blueprint, which utilizes the Cost Explorer API's `get_cost_and_usage` to analyze `USAGE_TYPE` data, specifically filtering for \"DataTransfer\" to capture relevant bandwidth metrics.",
          "timestamp": "2026-02-11T17:21:52.131Z"
        },
        {
          "subject": "Developing the Core Logic",
          "description": "I'm now zeroing in on the script's core functionality. I'm leveraging `bwusage.py`'s framework, using the Cost Explorer API and `boto3`. My current focus is crafting the function to retrieve 12 months of bandwidth data, using the \"DataTransfer\" `USAGE_TYPE` and `LINKED_ACCOUNT` dimensions. I'm working through date calculations to ensure precise monthly periods and plan to aggregate the data before averaging.",
          "timestamp": "2026-02-11T17:21:54.495Z"
        },
        {
          "subject": "Querying Cost Explorer Details",
          "description": "I'm now going deeper into the specific Cost Explorer calls. The key is correctly formatting the date ranges and understanding how `bwusage.py` filters for \"DataTransfer\" types and converts units. I've pinpointed the `get_cost_and_usage` parameters and am focusing on setting `Granularity='MONTHLY'` to streamline the data retrieval for the 12-month period. I'm also ensuring proper handling of Bytes/MB to GB conversions, matching the existing logic.",
          "timestamp": "2026-02-11T17:21:57.807Z"
        },
        {
          "subject": "Constructing the Core Script",
          "description": "I'm now outlining the script structure, naming it `avg_bandwidth_12months.py`. The fundamental approach mirrors `bwusage.py`, but will use a 12-month period for calculation. I will query the Cost Explorer for each account, applying the unit conversion logic from the reference script. The structure includes account retrieval, date range computation, Cost Explorer queries, and averaging the data to fulfill the user's requirements.",
          "timestamp": "2026-02-11T17:21:57.825Z"
        }
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            "file_path": "avg_bandwidth_12months.py",
            "content": "import boto3\nfrom datetime import datetime, timedelta\nfrom dateutil.relativedelta import relativedelta\n\ndef get_all_accounts():\n    \"\"\"Fetches every account ID and Name in the organization.\"\"\"\n    org_client = boto3.client('organizations')\n    account_map = {}\n    try:\n        paginator = org_client.get_paginator('list_accounts')\n        for page in paginator.paginate():\n            for account in page['Accounts']:\n                if account['Status'] == 'ACTIVE':\n                    account_map[account['Id']] = account['Name']\n    except Exception as e:\n        print(f\"Error fetching account list: {e}\")\n    return account_map\n\ndef get_average_bandwidth_report():\n    ce_client = boto3.client('ce')\n    \n    all_accounts = get_all_accounts()\n    if not all_accounts:\n        print(\"Could not retrieve account list. Check Organizations permissions.\")\n        return\n\n    # Set dates for the last 12 full months\n    now = datetime.now()\n    first_day_current_month = now.replace(day=1)\n    end_date = first_day_current_month.strftime('%Y-%m-%d')\n    start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n    # Initialize tracking: {acc_id: [usage_month1, usage_month2, ...]}\n    # Actually, we can just track the total and divide by 12 at the end\n    account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n    \n    next_token = None\n\n    try:\n        while True:\n            params = {\n                'TimePeriod': {'Start': start_date, 'End': end_date},\n                'Granularity': 'MONTHLY',\n                'Metrics': ['UsageQuantity'],\n                'GroupBy': [\n                    {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n                    {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n                ]\n            }\n            if next_token:\n                params['NextPageToken'] = next_token\n\n            response = ce_client.get_cost_and_usage(**params)\n\n            for result in response['ResultsByTime']:\n                for group in result['Groups']:\n                    acc_id = group['Keys'][0]\n                    usage_type = group['Keys'][1]\n                    usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n                    unit = group['Metrics']['UsageQuantity']['Unit']\n\n                    # Bandwidth calculation logic from bwsuage.py\n                    if \"DataTransfer\" in usage_type:\n                        if unit == 'Bytes':\n                            usage_amount /= (1024**3)\n                        elif unit in ['MB', 'Megabytes']:\n                            usage_amount /= 1024\n                        \n                        if acc_id in account_totals:\n                            account_totals[acc_id] += usage_amount\n                        else:\n                            account_totals[acc_id] = usage_amount\n\n            next_token = response.get('NextPageToken')\n            if not next_token:\n                break\n\n        print(f\"\\n--- 12-Month Average Bandwidth Report ---\")\n        print(f\"Period: {start_date} to {end_date}\")\n        print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n        print(\"-\" * 75)\n\n        # Sort by monthly average descending\n        sorted_accounts = sorted(\n            account_totals.items(), \n            key=lambda x: x[1], \n            reverse=True\n        )\n        \n        for acc_id, total_usage in sorted_accounts:\n            acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n            avg_usage = total_usage / 12.0\n            \n            print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n\n        print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n    except Exception as e:\n        print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n    get_average_bandwidth_report()\n"
          },
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                  "output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py."
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          "status": "success",
          "timestamp": "2026-02-11T17:22:49.123Z",
          "resultDisplay": {
            "fileDiff": "Index: avg_bandwidth_12months.py\n===================================================================\n--- avg_bandwidth_12months.py\tOriginal\n+++ avg_bandwidth_12months.py\tWritten\n@@ -0,0 +1,104 @@\n+import boto3\n+from datetime import datetime, timedelta\n+from dateutil.relativedelta import relativedelta\n+\n+def get_all_accounts():\n+    \"\"\"Fetches every account ID and Name in the organization.\"\"\"\n+    org_client = boto3.client('organizations')\n+    account_map = {}\n+    try:\n+        paginator = org_client.get_paginator('list_accounts')\n+        for page in paginator.paginate():\n+            for account in page['Accounts']:\n+                if account['Status'] == 'ACTIVE':\n+                    account_map[account['Id']] = account['Name']\n+    except Exception as e:\n+        print(f\"Error fetching account list: {e}\")\n+    return account_map\n+\n+def get_average_bandwidth_report():\n+    ce_client = boto3.client('ce')\n+    \n+    all_accounts = get_all_accounts()\n+    if not all_accounts:\n+        print(\"Could not retrieve account list. Check Organizations permissions.\")\n+        return\n+\n+    # Set dates for the last 12 full months\n+    now = datetime.now()\n+    first_day_current_month = now.replace(day=1)\n+    end_date = first_day_current_month.strftime('%Y-%m-%d')\n+    start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n+\n+    # Initialize tracking: {acc_id: [usage_month1, usage_month2, ...]}\n+    # Actually, we can just track the total and divide by 12 at the end\n+    account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n+    \n+    next_token = None\n+\n+    try:\n+        while True:\n+            params = {\n+                'TimePeriod': {'Start': start_date, 'End': end_date},\n+                'Granularity': 'MONTHLY',\n+                'Metrics': ['UsageQuantity'],\n+                'GroupBy': [\n+                    {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n+                    {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n+                ]\n+            }\n+            if next_token:\n+                params['NextPageToken'] = next_token\n+\n+            response = ce_client.get_cost_and_usage(**params)\n+\n+            for result in response['ResultsByTime']:\n+                for group in result['Groups']:\n+                    acc_id = group['Keys'][0]\n+                    usage_type = group['Keys'][1]\n+                    usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n+                    unit = group['Metrics']['UsageQuantity']['Unit']\n+\n+                    # Bandwidth calculation logic from bwsuage.py\n+                    if \"DataTransfer\" in usage_type:\n+                        if unit == 'Bytes':\n+                            usage_amount /= (1024**3)\n+                        elif unit in ['MB', 'Megabytes']:\n+                            usage_amount /= 1024\n+                        \n+                        if acc_id in account_totals:\n+                            account_totals[acc_id] += usage_amount\n+                        else:\n+                            account_totals[acc_id] = usage_amount\n+\n+            next_token = response.get('NextPageToken')\n+            if not next_token:\n+                break\n+\n+        print(f\"\n+--- 12-Month Average Bandwidth Report ---\")\n+        print(f\"Period: {start_date} to {end_date}\")\n+        print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n+        print(\"-\" * 75)\n+\n+        # Sort by monthly average descending\n+        sorted_accounts = sorted(\n+            account_totals.items(), \n+            key=lambda x: x[1], \n+            reverse=True\n+        )\n+        \n+        for acc_id, total_usage in sorted_accounts:\n+            acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n+            avg_usage = total_usage / 12.0\n+            \n+            print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n+\n+        print(f\"\n+Total Accounts Scanned: {len(all_accounts)}\")\n+\n+    except Exception as e:\n+        print(f\"Error: {e}\")\n+\n+if __name__ == \"__main__\":\n+    get_average_bandwidth_report()\n",
            "fileName": "avg_bandwidth_12months.py",
            "filePath": "/Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py",
            "originalContent": "",
            "newContent": "import boto3\nfrom datetime import datetime, timedelta\nfrom dateutil.relativedelta import relativedelta\n\ndef get_all_accounts():\n    \"\"\"Fetches every account ID and Name in the organization.\"\"\"\n    org_client = boto3.client('organizations')\n    account_map = {}\n    try:\n        paginator = org_client.get_paginator('list_accounts')\n        for page in paginator.paginate():\n            for account in page['Accounts']:\n                if account['Status'] == 'ACTIVE':\n                    account_map[account['Id']] = account['Name']\n    except Exception as e:\n        print(f\"Error fetching account list: {e}\")\n    return account_map\n\ndef get_average_bandwidth_report():\n    ce_client = boto3.client('ce')\n    \n    all_accounts = get_all_accounts()\n    if not all_accounts:\n        print(\"Could not retrieve account list. Check Organizations permissions.\")\n        return\n\n    # Set dates for the last 12 full months\n    now = datetime.now()\n    first_day_current_month = now.replace(day=1)\n    end_date = first_day_current_month.strftime('%Y-%m-%d')\n    start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n    # Initialize tracking: {acc_id: [usage_month1, usage_month2, ...]}\n    # Actually, we can just track the total and divide by 12 at the end\n    account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n    \n    next_token = None\n\n    try:\n        while True:\n            params = {\n                'TimePeriod': {'Start': start_date, 'End': end_date},\n                'Granularity': 'MONTHLY',\n                'Metrics': ['UsageQuantity'],\n                'GroupBy': [\n                    {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n                    {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n                ]\n            }\n            if next_token:\n                params['NextPageToken'] = next_token\n\n            response = ce_client.get_cost_and_usage(**params)\n\n            for result in response['ResultsByTime']:\n                for group in result['Groups']:\n                    acc_id = group['Keys'][0]\n                    usage_type = group['Keys'][1]\n                    usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n                    unit = group['Metrics']['UsageQuantity']['Unit']\n\n                    # Bandwidth calculation logic from bwsuage.py\n                    if \"DataTransfer\" in usage_type:\n                        if unit == 'Bytes':\n                            usage_amount /= (1024**3)\n                        elif unit in ['MB', 'Megabytes']:\n                            usage_amount /= 1024\n                        \n                        if acc_id in account_totals:\n                            account_totals[acc_id] += usage_amount\n                        else:\n                            account_totals[acc_id] = usage_amount\n\n            next_token = response.get('NextPageToken')\n            if not next_token:\n                break\n\n        print(f\"\n--- 12-Month Average Bandwidth Report ---\")\n        print(f\"Period: {start_date} to {end_date}\")\n        print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n        print(\"-\" * 75)\n\n        # Sort by monthly average descending\n        sorted_accounts = sorted(\n            account_totals.items(), \n            key=lambda x: x[1], \n            reverse=True\n        )\n        \n        for acc_id, total_usage in sorted_accounts:\n            acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n            avg_usage = total_usage / 12.0\n            \n            print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n\n        print(f\"\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n    except Exception as e:\n        print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n    get_average_bandwidth_report()\n",
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    {
      "id": "6d14026d-635c-45d3-949f-60372ec946b3",
      "timestamp": "2026-02-11T17:23:10.614Z",
      "type": "gemini",
      "content": "I have created the script `avg_bandwidth_12months.py`. It uses the Cost Explorer API to fetch data transfer usage for the last 12 full months, aggregates it by account, and calculates the monthly average.",
      "thoughts": [
        {
          "subject": "Verifying the Script's Execution",
          "description": "I've written the script and now need to ensure it runs correctly, looking for potential errors. I'm focusing on the `dateutil` dependency and whether it is present. The file structure is being used to find the right files to check.",
          "timestamp": "2026-02-11T17:23:07.084Z"
        },
        {
          "subject": "Validating Script Functionality",
          "description": "I've reviewed the script's core components, concentrating on the intended data transfer aggregation using Cost Explorer. I'm verifying the 12-month range calculation and confirm that it aggregates \"DataTransfer\" and calculates the average. My current focus is refining the output and ensuring clarity between total, average, and any threshold criteria from the original script that may need removing.",
          "timestamp": "2026-02-11T17:23:09.420Z"
        },
        {
          "subject": "Checking the Script's Integrity",
          "description": "I've confirmed the `dateutil` dependency's presence within the virtual environment, cross-referencing file paths to ensure `python-dateutil` is installed. I ran a mental audit of the core features and the logic, paying close attention to the bandwidth calculations and their consistency with the prior script. I then ran a syntax check using `python3 -m py_compile`, to identify any potential initial problems.",
          "timestamp": "2026-02-11T17:23:10.360Z"
        }
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                  "output": "Output:   File \"avg_bandwidth_12months.py\", line 78\n    print(f\"\n          ^\nSyntaxError: unterminated f-string literal (detected at line 78)\nExit Code: 1\nProcess Group PGID: 58895"
                }
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          "status": "success",
          "timestamp": "2026-02-11T17:23:25.635Z",
          "resultDisplay": "  File \"avg_bandwidth_12months.py\", line 78\n    print(f\"\n          ^\nSyntaxError: unterminated f-string literal (detected at line 78)",
          "displayName": "Shell",
          "description": "This tool executes a given shell command as `bash -c <command>`. To run a command in the background, set the `is_background` parameter to true. Do NOT use `&` to background commands. Command is executed as a subprocess that leads its own process group. Command process group can be terminated as `kill -- -PGID` or signaled as `kill -s SIGNAL -- -PGID`.\n\n      The following information is returned:\n\n      Output: Combined stdout/stderr. Can be `(empty)` or partial on error and for any unwaited background processes.\n      Exit Code: Only included if non-zero (command failed).\n      Error: Only included if a process-level error occurred (e.g., spawn failure).\n      Signal: Only included if process was terminated by a signal.\n      Background PIDs: Only included if background processes were started.\n      Process Group PGID: Only included if available.",
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      "id": "a277c63f-f8a1-4d2d-a49c-63a4e9567cbe",
      "timestamp": "2026-02-11T17:24:50.127Z",
      "type": "gemini",
      "content": "I'll read the file to identify and fix the syntax error.",
      "thoughts": [
        {
          "subject": "Analyzing the Code",
          "description": "I've identified a syntax error, likely in the print statement near line 78. Now, I'm examining the `write_file` call, specifically the print statement where the error occurred. I'll read the file content to understand the context fully.",
          "timestamp": "2026-02-11T17:24:49.876Z"
        },
        {
          "subject": "Checking File Contents",
          "description": "Okay, I just re-read the relevant part of the file. The syntax error is definitely in that print statement on line 78. Now I'll trace back through the `write_file` function to understand why that print statement failed, and why it's there.",
          "timestamp": "2026-02-11T17:24:49.891Z"
        }
      ],
      "tokens": {
        "input": 17390,
        "output": 34,
        "cached": 0,
        "thoughts": 72,
        "tool": 0,
        "total": 17496
      },
      "model": "gemini-3-flash-preview",
      "toolCalls": [
        {
          "id": "read_file-1770830690126-7b3665f2dd302",
          "name": "read_file",
          "args": {
            "file_path": "avg_bandwidth_12months.py"
          },
          "result": [
            {
              "functionResponse": {
                "id": "read_file-1770830690126-7b3665f2dd302",
                "name": "read_file",
                "response": {
                  "output": "import boto3\nfrom datetime import datetime, timedelta\nfrom dateutil.relativedelta import relativedelta\n\ndef get_all_accounts():\n    \"\"\"Fetches every account ID and Name in the organization.\"\"\"\n    org_client = boto3.client('organizations')\n    account_map = {}\n    try:\n        paginator = org_client.get_paginator('list_accounts')\n        for page in paginator.paginate():\n            for account in page['Accounts']:\n                if account['Status'] == 'ACTIVE':\n                    account_map[account['Id']] = account['Name']\n    except Exception as e:\n        print(f\"Error fetching account list: {e}\")\n    return account_map\n\ndef get_average_bandwidth_report():\n    ce_client = boto3.client('ce')\n    \n    all_accounts = get_all_accounts()\n    if not all_accounts:\n        print(\"Could not retrieve account list. Check Organizations permissions.\")\n        return\n\n    # Set dates for the last 12 full months\n    now = datetime.now()\n    first_day_current_month = now.replace(day=1)\n    end_date = first_day_current_month.strftime('%Y-%m-%d')\n    start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n    # Initialize tracking: {acc_id: [usage_month1, usage_month2, ...]}\n    # Actually, we can just track the total and divide by 12 at the end\n    account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n    \n    next_token = None\n\n    try:\n        while True:\n            params = {\n                'TimePeriod': {'Start': start_date, 'End': end_date},\n                'Granularity': 'MONTHLY',\n                'Metrics': ['UsageQuantity'],\n                'GroupBy': [\n                    {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n                    {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n                ]\n            }\n            if next_token:\n                params['NextPageToken'] = next_token\n\n            response = ce_client.get_cost_and_usage(**params)\n\n            for result in response['ResultsByTime']:\n                for group in result['Groups']:\n                    acc_id = group['Keys'][0]\n                    usage_type = group['Keys'][1]\n                    usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n                    unit = group['Metrics']['UsageQuantity']['Unit']\n\n                    # Bandwidth calculation logic from bwsuage.py\n                    if \"DataTransfer\" in usage_type:\n                        if unit == 'Bytes':\n                            usage_amount /= (1024**3)\n                        elif unit in ['MB', 'Megabytes']:\n                            usage_amount /= 1024\n                        \n                        if acc_id in account_totals:\n                            account_totals[acc_id] += usage_amount\n                        else:\n                            account_totals[acc_id] = usage_amount\n\n            next_token = response.get('NextPageToken')\n            if not next_token:\n                break\n\n        print(f\"\n--- 12-Month Average Bandwidth Report ---\")\n        print(f\"Period: {start_date} to {end_date}\")\n        print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n        print(\"-\" * 75)\n\n        # Sort by monthly average descending\n        sorted_accounts = sorted(\n            account_totals.items(), \n            key=lambda x: x[1], \n            reverse=True\n        )\n        \n        for acc_id, total_usage in sorted_accounts:\n            acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n            avg_usage = total_usage / 12.0\n            \n            print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n\n        print(f\"\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n    except Exception as e:\n        print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n    get_average_bandwidth_report()\n"
                }
              }
            }
          ],
          "status": "success",
          "timestamp": "2026-02-11T17:24:50.145Z",
          "resultDisplay": "",
          "displayName": "ReadFile",
          "description": "Reads and returns the content of a specified file. If the file is large, the content will be truncated. The tool's response will clearly indicate if truncation has occurred and will provide details on how to read more of the file using the 'offset' and 'limit' parameters. Handles text, images (PNG, JPG, GIF, WEBP, SVG, BMP), audio files (MP3, WAV, AIFF, AAC, OGG, FLAC), and PDF files. For text files, it can read specific line ranges.",
          "renderOutputAsMarkdown": true
        }
      ]
    },
    {
      "id": "5167bfc9-a166-4aec-bf2a-b2ae0a9360d0",
      "timestamp": "2026-02-11T17:25:46.587Z",
      "type": "gemini",
      "content": "I'll fix the syntax errors by correcting the broken f-strings.",
      "thoughts": [
        {
          "subject": "Correcting the output",
          "description": "I'm zeroing in on the file output formatting. The f-string interpretation caused some issues with line breaks. My plan is to rectify the situation by employing the `replace` function to correctly insert the newline characters. This should ensure the output is properly formatted.",
          "timestamp": "2026-02-11T17:25:46.284Z"
        }
      ],
      "tokens": {
        "input": 18454,
        "output": 152,
        "cached": 0,
        "thoughts": 128,
        "tool": 0,
        "total": 18734
      },
      "model": "gemini-3-flash-preview",
      "toolCalls": [
        {
          "id": "replace-1770830746581-9d7cac6df02ff",
          "name": "replace",
          "args": {
            "old_string": "            if not next_token:\n                break\n\n        print(f\"\n--- 12-Month Average Bandwidth Report ---\")\n        print(f\"Period: {start_date} to {end_date}\")",
            "file_path": "/Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py",
            "expected_replacements": 1,
            "instruction": "Fix the broken f-string in the report header.",
            "new_string": "            if not next_token:\n                break\n\n        print(f\"\\n--- 12-Month Average Bandwidth Report ---\")\n        print(f\"Period: {start_date} to {end_date}\")"
          },
          "result": [
            {
              "functionResponse": {
                "id": "replace-1770830746581-9d7cac6df02ff",
                "name": "replace",
                "response": {
                  "output": "Successfully modified file: /Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py (1 replacements)."
                }
              }
            }
          ],
          "status": "success",
          "timestamp": "2026-02-11T17:26:19.438Z",
          "resultDisplay": {
            "fileDiff": "Index: avg_bandwidth_12months.py\n===================================================================\n--- avg_bandwidth_12months.py\tCurrent\n+++ avg_bandwidth_12months.py\tProposed\n@@ -75,8 +75,7 @@\n             if not next_token:\n                 break\n \n-        print(f\"\n---- 12-Month Average Bandwidth Report ---\")\n+        print(f\"\\n--- 12-Month Average Bandwidth Report ---\")\n         print(f\"Period: {start_date} to {end_date}\")\n         print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n         print(\"-\" * 75)\n",
            "fileName": "avg_bandwidth_12months.py",
            "filePath": "/Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py",
            "originalContent": "import boto3\nfrom datetime import datetime, timedelta\nfrom dateutil.relativedelta import relativedelta\n\ndef get_all_accounts():\n    \"\"\"Fetches every account ID and Name in the organization.\"\"\"\n    org_client = boto3.client('organizations')\n    account_map = {}\n    try:\n        paginator = org_client.get_paginator('list_accounts')\n        for page in paginator.paginate():\n            for account in page['Accounts']:\n                if account['Status'] == 'ACTIVE':\n                    account_map[account['Id']] = account['Name']\n    except Exception as e:\n        print(f\"Error fetching account list: {e}\")\n    return account_map\n\ndef get_average_bandwidth_report():\n    ce_client = boto3.client('ce')\n    \n    all_accounts = get_all_accounts()\n    if not all_accounts:\n        print(\"Could not retrieve account list. Check Organizations permissions.\")\n        return\n\n    # Set dates for the last 12 full months\n    now = datetime.now()\n    first_day_current_month = now.replace(day=1)\n    end_date = first_day_current_month.strftime('%Y-%m-%d')\n    start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n    # Initialize tracking: {acc_id: [usage_month1, usage_month2, ...]}\n    # Actually, we can just track the total and divide by 12 at the end\n    account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n    \n    next_token = None\n\n    try:\n        while True:\n            params = {\n                'TimePeriod': {'Start': start_date, 'End': end_date},\n                'Granularity': 'MONTHLY',\n                'Metrics': ['UsageQuantity'],\n                'GroupBy': [\n                    {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n                    {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n                ]\n            }\n            if next_token:\n                params['NextPageToken'] = next_token\n\n            response = ce_client.get_cost_and_usage(**params)\n\n            for result in response['ResultsByTime']:\n                for group in result['Groups']:\n                    acc_id = group['Keys'][0]\n                    usage_type = group['Keys'][1]\n                    usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n                    unit = group['Metrics']['UsageQuantity']['Unit']\n\n                    # Bandwidth calculation logic from bwsuage.py\n                    if \"DataTransfer\" in usage_type:\n                        if unit == 'Bytes':\n                            usage_amount /= (1024**3)\n                        elif unit in ['MB', 'Megabytes']:\n                            usage_amount /= 1024\n                        \n                        if acc_id in account_totals:\n                            account_totals[acc_id] += usage_amount\n                        else:\n                            account_totals[acc_id] = usage_amount\n\n            next_token = response.get('NextPageToken')\n            if not next_token:\n                break\n\n        print(f\"\n--- 12-Month Average Bandwidth Report ---\")\n        print(f\"Period: {start_date} to {end_date}\")\n        print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n        print(\"-\" * 75)\n\n        # Sort by monthly average descending\n        sorted_accounts = sorted(\n            account_totals.items(), \n            key=lambda x: x[1], \n            reverse=True\n        )\n        \n        for acc_id, total_usage in sorted_accounts:\n            acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n            avg_usage = total_usage / 12.0\n            \n            print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n\n        print(f\"\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n    except Exception as e:\n        print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n    get_average_bandwidth_report()\n",
            "newContent": "import boto3\nfrom datetime import datetime, timedelta\nfrom dateutil.relativedelta import relativedelta\n\ndef get_all_accounts():\n    \"\"\"Fetches every account ID and Name in the organization.\"\"\"\n    org_client = boto3.client('organizations')\n    account_map = {}\n    try:\n        paginator = org_client.get_paginator('list_accounts')\n        for page in paginator.paginate():\n            for account in page['Accounts']:\n                if account['Status'] == 'ACTIVE':\n                    account_map[account['Id']] = account['Name']\n    except Exception as e:\n        print(f\"Error fetching account list: {e}\")\n    return account_map\n\ndef get_average_bandwidth_report():\n    ce_client = boto3.client('ce')\n    \n    all_accounts = get_all_accounts()\n    if not all_accounts:\n        print(\"Could not retrieve account list. Check Organizations permissions.\")\n        return\n\n    # Set dates for the last 12 full months\n    now = datetime.now()\n    first_day_current_month = now.replace(day=1)\n    end_date = first_day_current_month.strftime('%Y-%m-%d')\n    start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n    # Initialize tracking: {acc_id: [usage_month1, usage_month2, ...]}\n    # Actually, we can just track the total and divide by 12 at the end\n    account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n    \n    next_token = None\n\n    try:\n        while True:\n            params = {\n                'TimePeriod': {'Start': start_date, 'End': end_date},\n                'Granularity': 'MONTHLY',\n                'Metrics': ['UsageQuantity'],\n                'GroupBy': [\n                    {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n                    {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n                ]\n            }\n            if next_token:\n                params['NextPageToken'] = next_token\n\n            response = ce_client.get_cost_and_usage(**params)\n\n            for result in response['ResultsByTime']:\n                for group in result['Groups']:\n                    acc_id = group['Keys'][0]\n                    usage_type = group['Keys'][1]\n                    usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n                    unit = group['Metrics']['UsageQuantity']['Unit']\n\n                    # Bandwidth calculation logic from bwsuage.py\n                    if \"DataTransfer\" in usage_type:\n                        if unit == 'Bytes':\n                            usage_amount /= (1024**3)\n                        elif unit in ['MB', 'Megabytes']:\n                            usage_amount /= 1024\n                        \n                        if acc_id in account_totals:\n                            account_totals[acc_id] += usage_amount\n                        else:\n                            account_totals[acc_id] = usage_amount\n\n            next_token = response.get('NextPageToken')\n            if not next_token:\n                break\n\n        print(f\"\\n--- 12-Month Average Bandwidth Report ---\")\n        print(f\"Period: {start_date} to {end_date}\")\n        print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n        print(\"-\" * 75)\n\n        # Sort by monthly average descending\n        sorted_accounts = sorted(\n            account_totals.items(), \n            key=lambda x: x[1], \n            reverse=True\n        )\n        \n        for acc_id, total_usage in sorted_accounts:\n            acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n            avg_usage = total_usage / 12.0\n            \n            print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n\n        print(f\"\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n    except Exception as e:\n        print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n    get_average_bandwidth_report()\n",
            "diffStat": {
              "model_added_lines": 1,
              "model_removed_lines": 2,
              "model_added_chars": 61,
              "model_removed_chars": 59,
              "user_added_lines": 1,
              "user_removed_lines": 99,
              "user_added_chars": 52,
              "user_removed_chars": 3619
            },
            "isNewFile": false
          },
          "displayName": "Edit",
          "description": "Replaces text within a file. By default, replaces a single occurrence, but can replace multiple occurrences when `expected_replacements` is specified. This tool requires providing significant context around the change to ensure precise targeting. Always use the read_file tool to examine the file's current content before attempting a text replacement.\n      \n      The user has the ability to modify the `new_string` content. If modified, this will be stated in the response.\n      \n      Expectation for required parameters:\n      1. `old_string` MUST be the exact literal text to replace (including all whitespace, indentation, newlines, and surrounding code etc.).\n      2. `new_string` MUST be the exact literal text to replace `old_string` with (also including all whitespace, indentation, newlines, and surrounding code etc.). Ensure the resulting code is correct and idiomatic and that `old_string` and `new_string` are different.\n      3. `instruction` is the detailed instruction of what needs to be changed. It is important to Make it specific and detailed so developers or large language models can understand what needs to be changed and perform the changes on their own if necessary. \n      4. NEVER escape `old_string` or `new_string`, that would break the exact literal text requirement.\n      **Important:** If ANY of the above are not satisfied, the tool will fail. CRITICAL for `old_string`: Must uniquely identify the single instance to change. Include at least 3 lines of context BEFORE and AFTER the target text, matching whitespace and indentation precisely. If this string matches multiple locations, or does not match exactly, the tool will fail.\n      5. Prefer to break down complex and long changes into multiple smaller atomic calls to this tool. Always check the content of the file after changes or not finding a string to match.\n      **Multiple replacements:** Set `expected_replacements` to the number of occurrences you want to replace. The tool will replace ALL occurrences that match `old_string` exactly. Ensure the number of replacements matches your expectation.",
          "renderOutputAsMarkdown": true
        }
      ]
    },
    {
      "id": "ca5920f1-48b8-4dab-a08e-9c93f81e4351",
      "timestamp": "2026-02-11T17:26:42.042Z",
      "type": "gemini",
      "content": "I'll fix the second broken f-string at the end of the script.",
      "thoughts": [
        {
          "subject": "Considering Adjustments Needed",
          "description": "I'm focused on the second item now. It needs some tweaking, a bit of rearrangement to fit better. I'm exploring different options to get the phrasing just right, so it flows smoothly with the first. The goal is to maximize impact, as I refine.",
          "timestamp": "2026-02-11T17:26:41.322Z"
        }
      ],
      "tokens": {
        "input": 18649,
        "output": 207,
        "cached": 0,
        "thoughts": 6,
        "tool": 0,
        "total": 18862
      },
      "model": "gemini-3-flash-preview",
      "toolCalls": [
        {
          "id": "replace-1770830802040-1237993fe633c8",
          "name": "replace",
          "args": {
            "file_path": "/Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py",
            "instruction": "Fix the broken f-string in the final account count print statement.",
            "old_string": "            print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n\n        print(f\"\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n    except Exception as e:",
            "new_string": "            print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n\n        print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n    except Exception as e:",
            "expected_replacements": 1
          },
          "result": [
            {
              "functionResponse": {
                "id": "replace-1770830802040-1237993fe633c8",
                "name": "replace",
                "response": {
                  "output": "Successfully modified file: /Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py (1 replacements)."
                }
              }
            }
          ],
          "status": "success",
          "timestamp": "2026-02-11T17:26:46.380Z",
          "resultDisplay": {
            "fileDiff": "Index: avg_bandwidth_12months.py\n===================================================================\n--- avg_bandwidth_12months.py\tCurrent\n+++ avg_bandwidth_12months.py\tProposed\n@@ -93,8 +93,7 @@\n             \n             print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n \n-        print(f\"\n-Total Accounts Scanned: {len(all_accounts)}\")\n+        print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n \n     except Exception as e:\n         print(f\"Error: {e}\")\n",
            "fileName": "avg_bandwidth_12months.py",
            "filePath": "/Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py",
            "originalContent": "import boto3\nfrom datetime import datetime, timedelta\nfrom dateutil.relativedelta import relativedelta\n\ndef get_all_accounts():\n    \"\"\"Fetches every account ID and Name in the organization.\"\"\"\n    org_client = boto3.client('organizations')\n    account_map = {}\n    try:\n        paginator = org_client.get_paginator('list_accounts')\n        for page in paginator.paginate():\n            for account in page['Accounts']:\n                if account['Status'] == 'ACTIVE':\n                    account_map[account['Id']] = account['Name']\n    except Exception as e:\n        print(f\"Error fetching account list: {e}\")\n    return account_map\n\ndef get_average_bandwidth_report():\n    ce_client = boto3.client('ce')\n    \n    all_accounts = get_all_accounts()\n    if not all_accounts:\n        print(\"Could not retrieve account list. Check Organizations permissions.\")\n        return\n\n    # Set dates for the last 12 full months\n    now = datetime.now()\n    first_day_current_month = now.replace(day=1)\n    end_date = first_day_current_month.strftime('%Y-%m-%d')\n    start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n    # Initialize tracking: {acc_id: [usage_month1, usage_month2, ...]}\n    # Actually, we can just track the total and divide by 12 at the end\n    account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n    \n    next_token = None\n\n    try:\n        while True:\n            params = {\n                'TimePeriod': {'Start': start_date, 'End': end_date},\n                'Granularity': 'MONTHLY',\n                'Metrics': ['UsageQuantity'],\n                'GroupBy': [\n                    {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n                    {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n                ]\n            }\n            if next_token:\n                params['NextPageToken'] = next_token\n\n            response = ce_client.get_cost_and_usage(**params)\n\n            for result in response['ResultsByTime']:\n                for group in result['Groups']:\n                    acc_id = group['Keys'][0]\n                    usage_type = group['Keys'][1]\n                    usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n                    unit = group['Metrics']['UsageQuantity']['Unit']\n\n                    # Bandwidth calculation logic from bwsuage.py\n                    if \"DataTransfer\" in usage_type:\n                        if unit == 'Bytes':\n                            usage_amount /= (1024**3)\n                        elif unit in ['MB', 'Megabytes']:\n                            usage_amount /= 1024\n                        \n                        if acc_id in account_totals:\n                            account_totals[acc_id] += usage_amount\n                        else:\n                            account_totals[acc_id] = usage_amount\n\n            next_token = response.get('NextPageToken')\n            if not next_token:\n                break\n\n        print(f\"\\n--- 12-Month Average Bandwidth Report ---\")\n        print(f\"Period: {start_date} to {end_date}\")\n        print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n        print(\"-\" * 75)\n\n        # Sort by monthly average descending\n        sorted_accounts = sorted(\n            account_totals.items(), \n            key=lambda x: x[1], \n            reverse=True\n        )\n        \n        for acc_id, total_usage in sorted_accounts:\n            acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n            avg_usage = total_usage / 12.0\n            \n            print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n\n        print(f\"\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n    except Exception as e:\n        print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n    get_average_bandwidth_report()\n",
            "newContent": "import boto3\nfrom datetime import datetime, timedelta\nfrom dateutil.relativedelta import relativedelta\n\ndef get_all_accounts():\n    \"\"\"Fetches every account ID and Name in the organization.\"\"\"\n    org_client = boto3.client('organizations')\n    account_map = {}\n    try:\n        paginator = org_client.get_paginator('list_accounts')\n        for page in paginator.paginate():\n            for account in page['Accounts']:\n                if account['Status'] == 'ACTIVE':\n                    account_map[account['Id']] = account['Name']\n    except Exception as e:\n        print(f\"Error fetching account list: {e}\")\n    return account_map\n\ndef get_average_bandwidth_report():\n    ce_client = boto3.client('ce')\n    \n    all_accounts = get_all_accounts()\n    if not all_accounts:\n        print(\"Could not retrieve account list. Check Organizations permissions.\")\n        return\n\n    # Set dates for the last 12 full months\n    now = datetime.now()\n    first_day_current_month = now.replace(day=1)\n    end_date = first_day_current_month.strftime('%Y-%m-%d')\n    start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n    # Initialize tracking: {acc_id: [usage_month1, usage_month2, ...]}\n    # Actually, we can just track the total and divide by 12 at the end\n    account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n    \n    next_token = None\n\n    try:\n        while True:\n            params = {\n                'TimePeriod': {'Start': start_date, 'End': end_date},\n                'Granularity': 'MONTHLY',\n                'Metrics': ['UsageQuantity'],\n                'GroupBy': [\n                    {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n                    {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n                ]\n            }\n            if next_token:\n                params['NextPageToken'] = next_token\n\n            response = ce_client.get_cost_and_usage(**params)\n\n            for result in response['ResultsByTime']:\n                for group in result['Groups']:\n                    acc_id = group['Keys'][0]\n                    usage_type = group['Keys'][1]\n                    usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n                    unit = group['Metrics']['UsageQuantity']['Unit']\n\n                    # Bandwidth calculation logic from bwsuage.py\n                    if \"DataTransfer\" in usage_type:\n                        if unit == 'Bytes':\n                            usage_amount /= (1024**3)\n                        elif unit in ['MB', 'Megabytes']:\n                            usage_amount /= 1024\n                        \n                        if acc_id in account_totals:\n                            account_totals[acc_id] += usage_amount\n                        else:\n                            account_totals[acc_id] = usage_amount\n\n            next_token = response.get('NextPageToken')\n            if not next_token:\n                break\n\n        print(f\"\\n--- 12-Month Average Bandwidth Report ---\")\n        print(f\"Period: {start_date} to {end_date}\")\n        print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n        print(\"-\" * 75)\n\n        # Sort by monthly average descending\n        sorted_accounts = sorted(\n            account_totals.items(), \n            key=lambda x: x[1], \n            reverse=True\n        )\n        \n        for acc_id, total_usage in sorted_accounts:\n            acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n            avg_usage = total_usage / 12.0\n            \n            print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n\n        print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n    except Exception as e:\n        print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n    get_average_bandwidth_report()\n",
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          "renderOutputAsMarkdown": true
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      "id": "3543a5bd-dc79-4945-9f31-f466a0e2946d",
      "timestamp": "2026-02-11T17:26:55.399Z",
      "type": "gemini",
      "content": "I'll verify the script's syntax once more.",
      "thoughts": [
        {
          "subject": "Checking the Code Again",
          "description": "I'm currently revisiting the syntax, ensuring everything aligns perfectly. Minor adjustments have been made based on the latest review. I anticipate further refinement as I delve deeper, but so far, things look promising.",
          "timestamp": "2026-02-11T17:26:55.150Z"
        }
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        "input": 18885,
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            "description": "Check for syntax errors in the fixed script.",
            "command": "python3 -m py_compile avg_bandwidth_12months.py"
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          "status": "success",
          "timestamp": "2026-02-11T17:27:00.410Z",
          "resultDisplay": "",
          "displayName": "Shell",
          "description": "This tool executes a given shell command as `bash -c <command>`. To run a command in the background, set the `is_background` parameter to true. Do NOT use `&` to background commands. Command is executed as a subprocess that leads its own process group. Command process group can be terminated as `kill -- -PGID` or signaled as `kill -s SIGNAL -- -PGID`.\n\n      The following information is returned:\n\n      Output: Combined stdout/stderr. Can be `(empty)` or partial on error and for any unwaited background processes.\n      Exit Code: Only included if non-zero (command failed).\n      Error: Only included if a process-level error occurred (e.g., spawn failure).\n      Signal: Only included if process was terminated by a signal.\n      Background PIDs: Only included if background processes were started.\n      Process Group PGID: Only included if available.",
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      "id": "ed66efc1-b4a5-4cde-bf3d-03eef336ab07",
      "timestamp": "2026-02-11T17:27:08.752Z",
      "type": "gemini",
      "content": "I've created `avg_bandwidth_12months.py`, which calculates the monthly average bandwidth usage per account over the last 12 months, using the logic from `bwsuage.py`.\n\n```python\nimport boto3\nfrom datetime import datetime\nfrom dateutil.relativedelta import relativedelta\n\ndef get_all_accounts():\n    \"\"\"Fetches every active account ID and Name in the organization.\"\"\"\n    org_client = boto3.client('organizations')\n    account_map = {}\n    try:\n        paginator = org_client.get_paginator('list_accounts')\n        for page in paginator.paginate():\n            for account in page['Accounts']:\n                if account['Status'] == 'ACTIVE':\n                    account_map[account['Id']] = account['Name']\n    except Exception as e:\n        print(f\"Error fetching account list: {e}\")\n    return account_map\n\ndef get_average_bandwidth_report():\n    ce_client = boto3.client('ce')\n    \n    all_accounts = get_all_accounts()\n    if not all_accounts:\n        print(\"Could not retrieve account list. Check Organizations permissions.\")\n        return\n\n    # Set dates for the last 12 full months\n    now = datetime.now()\n    first_day_current_month = now.replace(day=1)\n    end_date = first_day_current_month.strftime('%Y-%m-%d')\n    start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n    account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n    next_token = None\n\n    try:\n        while True:\n            params = {\n                'TimePeriod': {'Start': start_date, 'End': end_date},\n                'Granularity': 'MONTHLY',\n                'Metrics': ['UsageQuantity'],\n                'GroupBy': [\n                    {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n                    {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n                ]\n            }\n            if next_token:\n                params['NextPageToken'] = next_token\n\n            response = ce_client.get_cost_and_usage(**params)\n\n            for result in response['ResultsByTime']:\n                for group in result['Groups']:\n                    acc_id = group['Keys'][0]\n                    usage_type = group['Keys'][1]\n                    usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n                    unit = group['Metrics']['UsageQuantity']['Unit']\n\n                    # Bandwidth calculation logic matched from bwsuage.py\n                    if \"DataTransfer\" in usage_type:\n                        if unit == 'Bytes':\n                            usage_amount /= (1024**3)\n                        elif unit in ['MB', 'Megabytes']:\n                            usage_amount /= 1024\n                        \n                        if acc_id in account_totals:\n                            account_totals[acc_id] += usage_amount\n                        else:\n                            account_totals[acc_id] = usage_amount\n\n            next_token = response.get('NextPageToken')\n            if not next_token:\n                break\n\n        print(f\"\\n--- 12-Month Average Bandwidth Report ---\")\n        print(f\"Period: {start_date} to {end_date}\")\n        print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n        print(\"-\" * 75)\n\n        sorted_accounts = sorted(\n            account_totals.items(), \n            key=lambda x: x[1], \n            reverse=True\n        )\n        \n        for acc_id, total_usage in sorted_accounts:\n            acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n            avg_usage = total_usage / 12.0\n            print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n\n        print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n    except Exception as e:\n        print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n    get_average_bandwidth_report()\n```",
      "thoughts": [
        {
          "subject": "Refining Implementation Strategy",
          "description": "I've confirmed the script's syntax is sound and ready. I'm now reviewing `bwsuage.py` for any other relevant logic. I noted the `threshold_gb` parameter in `get_total_bandwidth_report()`. The user's instructions omitted it, so I'll need to decide how to handle the parameter.",
          "timestamp": "2026-02-11T17:27:02.991Z"
        },
        {
          "subject": "Assessing Parameter Handling",
          "description": "The script is ready, and syntax is confirmed! I'm now wrestling with the `threshold_gb` parameter in `get_total_bandwidth_report()`. Since the user didn't mention it, I will ignore it. I'll make sure to leave boto3 configuration to defaults. I think it is time to package everything up and present it.",
          "timestamp": "2026-02-11T17:27:03.716Z"
        }
      ],
      "tokens": {
        "input": 18953,
        "output": 1022,
        "cached": 0,
        "thoughts": 140,
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      "model": "gemini-3-flash-preview"
    },
    {
      "id": "9e492535-afeb-41d7-bfff-bd238dcfa0e7",
      "timestamp": "2026-02-11T17:30:12.767Z",
      "type": "user",
      "content": [
        {
          "text": "also show average cost"
        }
      ]
    },
    {
      "id": "9a9440b9-89ad-437a-8618-623970534b25",
      "timestamp": "2026-02-11T17:30:24.585Z",
      "type": "gemini",
      "content": "I will update the `avg_bandwidth_12months.py` script to include both usage quantity and unblended cost metrics, allowing it to report the average monthly cost alongside the bandwidth usage.",
      "thoughts": [],
      "tokens": {
        "input": 19980,
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      "toolCalls": [
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          "id": "replace-1770831024583-90bde548df6",
          "name": "replace",
          "args": {
            "file_path": "/Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py",
            "new_string": "    # Initialize tracking: {acc_id: {'usage': 0.0, 'cost': 0.0}}\n    account_totals = {acc_id: {'usage': 0.0, 'cost': 0.0} for acc_id in all_accounts.keys()}\n    \n    next_token = None\n\n    try:\n        while True:\n            params = {\n                'TimePeriod': {'Start': start_date, 'End': end_date},\n                'Granularity': 'MONTHLY',\n                'Metrics': ['UsageQuantity', 'UnblendedCost'],\n                'GroupBy': [\n                    {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n                    {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n                ]\n            }\n            if next_token:\n                params['NextPageToken'] = next_token\n\n            response = ce_client.get_cost_and_usage(**params)\n\n            for result in response['ResultsByTime']:\n                for group in result['Groups']:\n                    acc_id = group['Keys'][0]\n                    usage_type = group['Keys'][1]\n                    usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n                    unit = group['Metrics']['UsageQuantity']['Unit']\n                    cost_amount = float(group['Metrics']['UnblendedCost']['Amount'])\n\n                    # Bandwidth calculation logic from bwsuage.py\n                    if \"DataTransfer\" in usage_type:\n                        if unit == 'Bytes':\n                            usage_amount /= (1024**3)\n                        elif unit in ['MB', 'Megabytes']:\n                            usage_amount /= 1024\n                        \n                        if acc_id not in account_totals:\n                            account_totals[acc_id] = {'usage': 0.0, 'cost': 0.0}\n                        \n                        account_totals[acc_id]['usage'] += usage_amount\n                        account_totals[acc_id]['cost'] += cost_amount",
            "instruction": "Add cost metrics to the Cost Explorer query and track totals for both usage and cost.",
            "old_string": "    # Initialize tracking: {acc_id: [usage_month1, usage_month2, ...]}\n    # Actually, we can just track the total and divide by 12 at the end\n    account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n    \n    next_token = None\n\n    try:\n        while True:\n            params = {\n                'TimePeriod': {'Start': start_date, 'End': end_date},\n                'Granularity': 'MONTHLY',\n                'Metrics': ['UsageQuantity'],\n                'GroupBy': [\n                    {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n                    {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n                ]\n            }\n            if next_token:\n                params['NextPageToken'] = next_token\n\n            response = ce_client.get_cost_and_usage(**params)\n\n            for result in response['ResultsByTime']:\n                for group in result['Groups']:\n                    acc_id = group['Keys'][0]\n                    usage_type = group['Keys'][1]\n                    usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n                    unit = group['Metrics']['UsageQuantity']['Unit']\n\n                    # Bandwidth calculation logic from bwsuage.py\n                    if \"DataTransfer\" in usage_type:\n                        if unit == 'Bytes':\n                            usage_amount /= (1024**3)\n                        elif unit in ['MB', 'Megabytes']:\n                            usage_amount /= 1024\n                        \n                        if acc_id in account_totals:\n                            account_totals[acc_id] += usage_amount\n                        else:\n                            account_totals[acc_id] = usage_amount",
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                  "output": "Successfully modified file: /Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py (1 replacements)."
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          "status": "success",
          "timestamp": "2026-02-11T17:30:37.440Z",
          "resultDisplay": {
            "fileDiff": "Index: avg_bandwidth_12months.py\n===================================================================\n--- avg_bandwidth_12months.py\tCurrent\n+++ avg_bandwidth_12months.py\tProposed\n@@ -30,9 +30,8 @@\n     end_date = first_day_current_month.strftime('%Y-%m-%d')\n     start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n \n-    # Initialize tracking: {acc_id: [usage_month1, usage_month2, ...]}\n-    # Actually, we can just track the total and divide by 12 at the end\n-    account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n+    # Initialize tracking: {acc_id: {'usage': 0.0, 'cost': 0.0}}\n+    account_totals = {acc_id: {'usage': 0.0, 'cost': 0.0} for acc_id in all_accounts.keys()}\n     \n     next_token = None\n \n@@ -41,7 +40,7 @@\n             params = {\n                 'TimePeriod': {'Start': start_date, 'End': end_date},\n                 'Granularity': 'MONTHLY',\n-                'Metrics': ['UsageQuantity'],\n+                'Metrics': ['UsageQuantity', 'UnblendedCost'],\n                 'GroupBy': [\n                     {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n                     {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n@@ -58,6 +57,7 @@\n                     usage_type = group['Keys'][1]\n                     usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n                     unit = group['Metrics']['UsageQuantity']['Unit']\n+                    cost_amount = float(group['Metrics']['UnblendedCost']['Amount'])\n \n                     # Bandwidth calculation logic from bwsuage.py\n                     if \"DataTransfer\" in usage_type:\n@@ -66,10 +66,11 @@\n                         elif unit in ['MB', 'Megabytes']:\n                             usage_amount /= 1024\n                         \n-                        if acc_id in account_totals:\n-                            account_totals[acc_id] += usage_amount\n-                        else:\n-                            account_totals[acc_id] = usage_amount\n+                        if acc_id not in account_totals:\n+                            account_totals[acc_id] = {'usage': 0.0, 'cost': 0.0}\n+                        \n+                        account_totals[acc_id]['usage'] += usage_amount\n+                        account_totals[acc_id]['cost'] += cost_amount\n \n             next_token = response.get('NextPageToken')\n             if not next_token:\n",
            "fileName": "avg_bandwidth_12months.py",
            "filePath": "/Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py",
            "originalContent": "import boto3\nfrom datetime import datetime, timedelta\nfrom dateutil.relativedelta import relativedelta\n\ndef get_all_accounts():\n    \"\"\"Fetches every account ID and Name in the organization.\"\"\"\n    org_client = boto3.client('organizations')\n    account_map = {}\n    try:\n        paginator = org_client.get_paginator('list_accounts')\n        for page in paginator.paginate():\n            for account in page['Accounts']:\n                if account['Status'] == 'ACTIVE':\n                    account_map[account['Id']] = account['Name']\n    except Exception as e:\n        print(f\"Error fetching account list: {e}\")\n    return account_map\n\ndef get_average_bandwidth_report():\n    ce_client = boto3.client('ce')\n    \n    all_accounts = get_all_accounts()\n    if not all_accounts:\n        print(\"Could not retrieve account list. Check Organizations permissions.\")\n        return\n\n    # Set dates for the last 12 full months\n    now = datetime.now()\n    first_day_current_month = now.replace(day=1)\n    end_date = first_day_current_month.strftime('%Y-%m-%d')\n    start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n    # Initialize tracking: {acc_id: [usage_month1, usage_month2, ...]}\n    # Actually, we can just track the total and divide by 12 at the end\n    account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n    \n    next_token = None\n\n    try:\n        while True:\n            params = {\n                'TimePeriod': {'Start': start_date, 'End': end_date},\n                'Granularity': 'MONTHLY',\n                'Metrics': ['UsageQuantity'],\n                'GroupBy': [\n                    {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n                    {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n                ]\n            }\n            if next_token:\n                params['NextPageToken'] = next_token\n\n            response = ce_client.get_cost_and_usage(**params)\n\n            for result in response['ResultsByTime']:\n                for group in result['Groups']:\n                    acc_id = group['Keys'][0]\n                    usage_type = group['Keys'][1]\n                    usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n                    unit = group['Metrics']['UsageQuantity']['Unit']\n\n                    # Bandwidth calculation logic from bwsuage.py\n                    if \"DataTransfer\" in usage_type:\n                        if unit == 'Bytes':\n                            usage_amount /= (1024**3)\n                        elif unit in ['MB', 'Megabytes']:\n                            usage_amount /= 1024\n                        \n                        if acc_id in account_totals:\n                            account_totals[acc_id] += usage_amount\n                        else:\n                            account_totals[acc_id] = usage_amount\n\n            next_token = response.get('NextPageToken')\n            if not next_token:\n                break\n\n        print(f\"\\n--- 12-Month Average Bandwidth Report ---\")\n        print(f\"Period: {start_date} to {end_date}\")\n        print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n        print(\"-\" * 75)\n\n        # Sort by monthly average descending\n        sorted_accounts = sorted(\n            account_totals.items(), \n            key=lambda x: x[1], \n            reverse=True\n        )\n        \n        for acc_id, total_usage in sorted_accounts:\n            acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n            avg_usage = total_usage / 12.0\n            \n            print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n\n        print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n    except Exception as e:\n        print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n    get_average_bandwidth_report()\n",
            "newContent": "import boto3\nfrom datetime import datetime, timedelta\nfrom dateutil.relativedelta import relativedelta\n\ndef get_all_accounts():\n    \"\"\"Fetches every account ID and Name in the organization.\"\"\"\n    org_client = boto3.client('organizations')\n    account_map = {}\n    try:\n        paginator = org_client.get_paginator('list_accounts')\n        for page in paginator.paginate():\n            for account in page['Accounts']:\n                if account['Status'] == 'ACTIVE':\n                    account_map[account['Id']] = account['Name']\n    except Exception as e:\n        print(f\"Error fetching account list: {e}\")\n    return account_map\n\ndef get_average_bandwidth_report():\n    ce_client = boto3.client('ce')\n    \n    all_accounts = get_all_accounts()\n    if not all_accounts:\n        print(\"Could not retrieve account list. Check Organizations permissions.\")\n        return\n\n    # Set dates for the last 12 full months\n    now = datetime.now()\n    first_day_current_month = now.replace(day=1)\n    end_date = first_day_current_month.strftime('%Y-%m-%d')\n    start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n    # Initialize tracking: {acc_id: {'usage': 0.0, 'cost': 0.0}}\n    account_totals = {acc_id: {'usage': 0.0, 'cost': 0.0} for acc_id in all_accounts.keys()}\n    \n    next_token = None\n\n    try:\n        while True:\n            params = {\n                'TimePeriod': {'Start': start_date, 'End': end_date},\n                'Granularity': 'MONTHLY',\n                'Metrics': ['UsageQuantity', 'UnblendedCost'],\n                'GroupBy': [\n                    {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n                    {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n                ]\n            }\n            if next_token:\n                params['NextPageToken'] = next_token\n\n            response = ce_client.get_cost_and_usage(**params)\n\n            for result in response['ResultsByTime']:\n                for group in result['Groups']:\n                    acc_id = group['Keys'][0]\n                    usage_type = group['Keys'][1]\n                    usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n                    unit = group['Metrics']['UsageQuantity']['Unit']\n                    cost_amount = float(group['Metrics']['UnblendedCost']['Amount'])\n\n                    # Bandwidth calculation logic from bwsuage.py\n                    if \"DataTransfer\" in usage_type:\n                        if unit == 'Bytes':\n                            usage_amount /= (1024**3)\n                        elif unit in ['MB', 'Megabytes']:\n                            usage_amount /= 1024\n                        \n                        if acc_id not in account_totals:\n                            account_totals[acc_id] = {'usage': 0.0, 'cost': 0.0}\n                        \n                        account_totals[acc_id]['usage'] += usage_amount\n                        account_totals[acc_id]['cost'] += cost_amount\n\n            next_token = response.get('NextPageToken')\n            if not next_token:\n                break\n\n        print(f\"\\n--- 12-Month Average Bandwidth Report ---\")\n        print(f\"Period: {start_date} to {end_date}\")\n        print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n        print(\"-\" * 75)\n\n        # Sort by monthly average descending\n        sorted_accounts = sorted(\n            account_totals.items(), \n            key=lambda x: x[1], \n            reverse=True\n        )\n        \n        for acc_id, total_usage in sorted_accounts:\n            acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n            avg_usage = total_usage / 12.0\n            \n            print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n\n        print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n    except Exception as e:\n        print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n    get_average_bandwidth_report()\n",
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          "description": "Replaces text within a file. By default, replaces a single occurrence, but can replace multiple occurrences when `expected_replacements` is specified. This tool requires providing significant context around the change to ensure precise targeting. Always use the read_file tool to examine the file's current content before attempting a text replacement.\n      \n      The user has the ability to modify the `new_string` content. If modified, this will be stated in the response.\n      \n      Expectation for required parameters:\n      1. `old_string` MUST be the exact literal text to replace (including all whitespace, indentation, newlines, and surrounding code etc.).\n      2. `new_string` MUST be the exact literal text to replace `old_string` with (also including all whitespace, indentation, newlines, and surrounding code etc.). Ensure the resulting code is correct and idiomatic and that `old_string` and `new_string` are different.\n      3. `instruction` is the detailed instruction of what needs to be changed. It is important to Make it specific and detailed so developers or large language models can understand what needs to be changed and perform the changes on their own if necessary. \n      4. NEVER escape `old_string` or `new_string`, that would break the exact literal text requirement.\n      **Important:** If ANY of the above are not satisfied, the tool will fail. CRITICAL for `old_string`: Must uniquely identify the single instance to change. Include at least 3 lines of context BEFORE and AFTER the target text, matching whitespace and indentation precisely. If this string matches multiple locations, or does not match exactly, the tool will fail.\n      5. Prefer to break down complex and long changes into multiple smaller atomic calls to this tool. Always check the content of the file after changes or not finding a string to match.\n      **Multiple replacements:** Set `expected_replacements` to the number of occurrences you want to replace. The tool will replace ALL occurrences that match `old_string` exactly. Ensure the number of replacements matches your expectation.",
          "renderOutputAsMarkdown": true
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    },
    {
      "id": "21b7760d-e6aa-400b-b82f-6ce428d99ef4",
      "timestamp": "2026-02-11T17:31:21.096Z",
      "type": "gemini",
      "content": "I'll update the report printing logic to include the average cost column and sort by cost.",
      "thoughts": [],
      "tokens": {
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      "model": "gemini-3-flash-preview",
      "toolCalls": [
        {
          "id": "replace-1770831081090-f6e59423d87a18",
          "name": "replace",
          "args": {
            "expected_replacements": 1,
            "file_path": "/Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py",
            "new_string": "        print(f\"\\n--- 12-Month Average Bandwidth & Cost Report ---\")\n        print(f\"Period: {start_date} to {end_date}\")\n        print(f\"{'Account Name':<25} | {'Avg GB':<10} | {'Avg Cost ($)':<12} | {'12m Total ($)'}\")\n        print(\"-\" * 80)\n\n        # Sort by total cost descending\n        sorted_accounts = sorted(\n            account_totals.items(), \n            key=lambda x: x[1]['cost'], \n            reverse=True\n        )\n        \n        for acc_id, totals in sorted_accounts:\n            acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n            avg_usage = totals['usage'] / 12.0\n            avg_cost = totals['cost'] / 12.0\n            total_cost = totals['cost']\n            \n            print(f\"{acc_name[:25]:<25} | {avg_usage:>10.2f} | {avg_cost:>12.2f} | {total_cost:>13.2f}\")",
            "instruction": "Update the report table to include average cost and sort by total cost descending.",
            "old_string": "        print(f\"\\n--- 12-Month Average Bandwidth Report ---\")\n        print(f\"Period: {start_date} to {end_date}\")\n        print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n        print(\"-\" * 75)\n\n        # Sort by monthly average descending\n        sorted_accounts = sorted(\n            account_totals.items(), \n            key=lambda x: x[1], \n            reverse=True\n        )\n        \n        for acc_id, total_usage in sorted_accounts:\n            acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n            avg_usage = total_usage / 12.0\n            \n            print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")"
          },
          "result": [
            {
              "functionResponse": {
                "id": "replace-1770831081090-f6e59423d87a18",
                "name": "replace",
                "response": {
                  "output": "Successfully modified file: /Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py (1 replacements)."
                }
              }
            }
          ],
          "status": "success",
          "timestamp": "2026-02-11T17:31:34.795Z",
          "resultDisplay": {
            "fileDiff": "Index: avg_bandwidth_12months.py\n===================================================================\n--- avg_bandwidth_12months.py\tCurrent\n+++ avg_bandwidth_12months.py\tProposed\n@@ -76,23 +76,25 @@\n             if not next_token:\n                 break\n \n-        print(f\"\\n--- 12-Month Average Bandwidth Report ---\")\n+        print(f\"\\n--- 12-Month Average Bandwidth & Cost Report ---\")\n         print(f\"Period: {start_date} to {end_date}\")\n-        print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n-        print(\"-\" * 75)\n+        print(f\"{'Account Name':<25} | {'Avg GB':<10} | {'Avg Cost ($)':<12} | {'12m Total ($)'}\")\n+        print(\"-\" * 80)\n \n-        # Sort by monthly average descending\n+        # Sort by total cost descending\n         sorted_accounts = sorted(\n             account_totals.items(), \n-            key=lambda x: x[1], \n+            key=lambda x: x[1]['cost'], \n             reverse=True\n         )\n         \n-        for acc_id, total_usage in sorted_accounts:\n+        for acc_id, totals in sorted_accounts:\n             acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n-            avg_usage = total_usage / 12.0\n+            avg_usage = totals['usage'] / 12.0\n+            avg_cost = totals['cost'] / 12.0\n+            total_cost = totals['cost']\n             \n-            print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n+            print(f\"{acc_name[:25]:<25} | {avg_usage:>10.2f} | {avg_cost:>12.2f} | {total_cost:>13.2f}\")\n \n         print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n \n",
            "fileName": "avg_bandwidth_12months.py",
            "filePath": "/Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py",
            "originalContent": "import boto3\nfrom datetime import datetime, timedelta\nfrom dateutil.relativedelta import relativedelta\n\ndef get_all_accounts():\n    \"\"\"Fetches every account ID and Name in the organization.\"\"\"\n    org_client = boto3.client('organizations')\n    account_map = {}\n    try:\n        paginator = org_client.get_paginator('list_accounts')\n        for page in paginator.paginate():\n            for account in page['Accounts']:\n                if account['Status'] == 'ACTIVE':\n                    account_map[account['Id']] = account['Name']\n    except Exception as e:\n        print(f\"Error fetching account list: {e}\")\n    return account_map\n\ndef get_average_bandwidth_report():\n    ce_client = boto3.client('ce')\n    \n    all_accounts = get_all_accounts()\n    if not all_accounts:\n        print(\"Could not retrieve account list. Check Organizations permissions.\")\n        return\n\n    # Set dates for the last 12 full months\n    now = datetime.now()\n    first_day_current_month = now.replace(day=1)\n    end_date = first_day_current_month.strftime('%Y-%m-%d')\n    start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n    # Initialize tracking: {acc_id: {'usage': 0.0, 'cost': 0.0}}\n    account_totals = {acc_id: {'usage': 0.0, 'cost': 0.0} for acc_id in all_accounts.keys()}\n    \n    next_token = None\n\n    try:\n        while True:\n            params = {\n                'TimePeriod': {'Start': start_date, 'End': end_date},\n                'Granularity': 'MONTHLY',\n                'Metrics': ['UsageQuantity', 'UnblendedCost'],\n                'GroupBy': [\n                    {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n                    {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n                ]\n            }\n            if next_token:\n                params['NextPageToken'] = next_token\n\n            response = ce_client.get_cost_and_usage(**params)\n\n            for result in response['ResultsByTime']:\n                for group in result['Groups']:\n                    acc_id = group['Keys'][0]\n                    usage_type = group['Keys'][1]\n                    usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n                    unit = group['Metrics']['UsageQuantity']['Unit']\n                    cost_amount = float(group['Metrics']['UnblendedCost']['Amount'])\n\n                    # Bandwidth calculation logic from bwsuage.py\n                    if \"DataTransfer\" in usage_type:\n                        if unit == 'Bytes':\n                            usage_amount /= (1024**3)\n                        elif unit in ['MB', 'Megabytes']:\n                            usage_amount /= 1024\n                        \n                        if acc_id not in account_totals:\n                            account_totals[acc_id] = {'usage': 0.0, 'cost': 0.0}\n                        \n                        account_totals[acc_id]['usage'] += usage_amount\n                        account_totals[acc_id]['cost'] += cost_amount\n\n            next_token = response.get('NextPageToken')\n            if not next_token:\n                break\n\n        print(f\"\\n--- 12-Month Average Bandwidth Report ---\")\n        print(f\"Period: {start_date} to {end_date}\")\n        print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n        print(\"-\" * 75)\n\n        # Sort by monthly average descending\n        sorted_accounts = sorted(\n            account_totals.items(), \n            key=lambda x: x[1], \n            reverse=True\n        )\n        \n        for acc_id, total_usage in sorted_accounts:\n            acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n            avg_usage = total_usage / 12.0\n            \n            print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n\n        print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n    except Exception as e:\n        print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n    get_average_bandwidth_report()\n",
            "newContent": "import boto3\nfrom datetime import datetime, timedelta\nfrom dateutil.relativedelta import relativedelta\n\ndef get_all_accounts():\n    \"\"\"Fetches every account ID and Name in the organization.\"\"\"\n    org_client = boto3.client('organizations')\n    account_map = {}\n    try:\n        paginator = org_client.get_paginator('list_accounts')\n        for page in paginator.paginate():\n            for account in page['Accounts']:\n                if account['Status'] == 'ACTIVE':\n                    account_map[account['Id']] = account['Name']\n    except Exception as e:\n        print(f\"Error fetching account list: {e}\")\n    return account_map\n\ndef get_average_bandwidth_report():\n    ce_client = boto3.client('ce')\n    \n    all_accounts = get_all_accounts()\n    if not all_accounts:\n        print(\"Could not retrieve account list. Check Organizations permissions.\")\n        return\n\n    # Set dates for the last 12 full months\n    now = datetime.now()\n    first_day_current_month = now.replace(day=1)\n    end_date = first_day_current_month.strftime('%Y-%m-%d')\n    start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n    # Initialize tracking: {acc_id: {'usage': 0.0, 'cost': 0.0}}\n    account_totals = {acc_id: {'usage': 0.0, 'cost': 0.0} for acc_id in all_accounts.keys()}\n    \n    next_token = None\n\n    try:\n        while True:\n            params = {\n                'TimePeriod': {'Start': start_date, 'End': end_date},\n                'Granularity': 'MONTHLY',\n                'Metrics': ['UsageQuantity', 'UnblendedCost'],\n                'GroupBy': [\n                    {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n                    {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n                ]\n            }\n            if next_token:\n                params['NextPageToken'] = next_token\n\n            response = ce_client.get_cost_and_usage(**params)\n\n            for result in response['ResultsByTime']:\n                for group in result['Groups']:\n                    acc_id = group['Keys'][0]\n                    usage_type = group['Keys'][1]\n                    usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n                    unit = group['Metrics']['UsageQuantity']['Unit']\n                    cost_amount = float(group['Metrics']['UnblendedCost']['Amount'])\n\n                    # Bandwidth calculation logic from bwsuage.py\n                    if \"DataTransfer\" in usage_type:\n                        if unit == 'Bytes':\n                            usage_amount /= (1024**3)\n                        elif unit in ['MB', 'Megabytes']:\n                            usage_amount /= 1024\n                        \n                        if acc_id not in account_totals:\n                            account_totals[acc_id] = {'usage': 0.0, 'cost': 0.0}\n                        \n                        account_totals[acc_id]['usage'] += usage_amount\n                        account_totals[acc_id]['cost'] += cost_amount\n\n            next_token = response.get('NextPageToken')\n            if not next_token:\n                break\n\n        print(f\"\\n--- 12-Month Average Bandwidth & Cost Report ---\")\n        print(f\"Period: {start_date} to {end_date}\")\n        print(f\"{'Account Name':<25} | {'Avg GB':<10} | {'Avg Cost ($)':<12} | {'12m Total ($)'}\")\n        print(\"-\" * 80)\n\n        # Sort by total cost descending\n        sorted_accounts = sorted(\n            account_totals.items(), \n            key=lambda x: x[1]['cost'], \n            reverse=True\n        )\n        \n        for acc_id, totals in sorted_accounts:\n            acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n            avg_usage = totals['usage'] / 12.0\n            avg_cost = totals['cost'] / 12.0\n            total_cost = totals['cost']\n            \n            print(f\"{acc_name[:25]:<25} | {avg_usage:>10.2f} | {avg_cost:>12.2f} | {total_cost:>13.2f}\")\n\n        print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n    except Exception as e:\n        print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n    get_average_bandwidth_report()\n",
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          "renderOutputAsMarkdown": true
        }
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    },
    {
      "id": "b28be19c-9cff-47a8-b419-cfa1d7ec974e",
      "timestamp": "2026-02-11T17:31:51.952Z",
      "type": "gemini",
      "content": "I have updated `avg_bandwidth_12months.py` to include average monthly cost. The script now queries for `UnblendedCost` and `UsageQuantity`, and the output table displays the average monthly GB, average monthly cost, and the 12-month total cost for each account.",
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