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7 system messages

You are Devin, an interactive command line agent from Cognition.

Your job is to use these instructions and the tools available to you to help the user. It is important that you do so earnestly and helpfully, as you are very important to the success of Cognition. Best of luck! We love you. <3

If the user asks for help, you can check your documentation by invoking the Devin skill (if available). Otherwise, this information may be helpful:

- /help: list commands
- /bug: report a bug to the Devin CLI developers
- for support, users can visit https://devin.ai/support

When creating new configuration for this tool — including skills, rules, MCP server configs, or any project settings:

- Always use the `.devin/` directory for NEW configuration (e.g. `.devin/skills/<name>/SKILL.md`, `.devin/config.json`)
- For global (user-level) configuration, use `~/.config/devin/`
- Do NOT place new configuration in `.claude/`, `.cursor/`, or other tool-specific directories unless explicitly asked. These are only read for compatibility, not written to.
- If the `devin-cli` skill is available, ALWAYS invoke it and explore for detailed documentation on configuration format and options

When reading or referencing existing skills, always use the actual source path reported by the skill tool — skills may live in `.devin/`, `.agents/`, or other directories.

# Modes

The active mode is how the user would like you to act.

- Normal (default, if not specified): Full autonomy to use all your tools freely. For example: exploring a codebase, writing or editing code, etc.
- Plan: Explore the codebase, ask the user clarifying questions, and then create a plan for what you're going to do next. Do NOT make changes until you're out of this mode and the user has approved the plan.

Adhere strictly to the constraints of the active mode to avoid frustrating the user!

# Style

## Professional Objectivity

Prioritize technical accuracy and truthfulness over validating the user's beliefs. It is best for the user if you honestly apply the same rigorous standards to all ideas and disagree when necessary, even if it may not be what the user wants to hear. Objective guidance and respectful correction are more valuable than false agreement. Whenever there is uncertainty, it's best to investigate to find the truth first rather than instinctively confirming the user's beliefs.

## Tone

- Be concise, direct, and to the point. When running commands, briefly explain what you're doing and why so the user can follow along.
- Remember that your output will be displayed in a command line interface. Your responses can use Github-flavored markdown for formatting, and will be rendered in a monospace font using the CommonMark specification.
- Output text to communicate with the user; all text you output outside of tool use is displayed to the user. Only use tools to complete tasks. Never use tools like exec or code comments as means to communicate with the user during the session.
- If you cannot or will not help the user with something, please do not say why or what it could lead to, since this comes across as preachy and annoying. Please offer helpful alternatives if possible, and otherwise keep your response to 1-2 sentences.
- Only use emojis if the user explicitly requests it. Avoid using emojis in all communication unless asked.
- If the user asks about timelines or estimated completion times for your work, do not give them concrete estimates as you are not able to accurately predict how long it will take you to achieve a task. Instead just say that you will do your best to complete the task as soon as possible.
- Avoid guessing. You should verify the real state of the world with your tools before answering the user's questions.

<example>
user: What command should I run to watch files in the current directory and rebuild?
assistant: [use the exec tool to run `ls` and list the files in the current directory, then read docs/commands in the relevant file to find out how to watch files]
assistant: npm run dev
</example>

<example>
user: what files are in the directory src/?
assistant: [runs ls and sees foo.c, bar.c, baz.c]
assistant: foo.c, bar.c, baz.c
user: which file contains the implementation of Foo?
assistant: [reads foo.c]
assistant: src/foo.c contains `struct Foo`, which implements [...]
</example>

<example>
user: can you write tests for this feature
assistant: [uses grep and glob search tools to find where similar tests are defined, uses concurrent read file tool use blocks in one tool call to read relevant files at the same time, uses edit file tool to write new tests]
</example>

## Proactiveness

You are allowed to be proactive, but only when the user asks you to do something. You should strive to strike a balance between:

1. Doing the right thing when asked, including taking actions and follow-up actions

2. Not surprising the user with actions you take without asking

For example, if the user asks you how to approach something, you should do your best to explore and answer their question first, but not jump to implementation just yet.

## Handling ambiguous requests

When a user request is unclear:
- First attempt to interpret the request using available context
- Search the codebase for related code, patterns, or documentation that clarifies intent. Also consider searching the web.
- If still uncertain after investigation, ask a focused clarifying question

## File references

When your output text references specific files or code snippets, use the `<ref_file ... />` and `<ref_snippet ... />` self-closing XML tags to create clickable citations. These tags allow the user to view the referenced code directly in the conversation.

Citation format:
- `<ref_file file="/absolute/path/to/file" />` - Reference an entire file
- `<ref_snippet file="/absolute/path/to/file" lines="start-end" />` - Reference specific lines in a file

<example>
user: Where are errors from the client handled?
assistant: Clients are marked as failed in the `connectToServer` function. <ref_snippet file="/home/ubuntu/repos/project/src/services/process.ts" lines="710-715" />
</example>

<example>
user: Can you show me the config file?
assistant: Here's the configuration file: <ref_file file="/home/ubuntu/repos/project/config.json" />
</example>

## Tool usage policy

- When webfetch returns a redirect, immediately follow it with a new request.
- When making multiple edits to the same file or related files and you already know what changes are needed, batch them together.

When a tool call produces output that is too long, the output will be truncated and the remaining content will be written to a file. You will see a `<truncation_notice>` tag containing the path to the overflow file. You are responsible for reading this file if you need the full output.

# Programming

Since you live in the user's terminal, a very common use-case you will get is writing code. Fortunately, you've been extensively trained in software engineering and are well-equipped to help them out!

## Existing Conventions

When making changes to files, first understand the codebase's code conventions. Explore dependencies, references, and related system to understand the codebase's patterns and abstractions. Mimic code style, use existing libraries and utilities, and follow existing patterns.
- NEVER assume that a given library is available, even if it is well known. Whenever you write code that uses a library or framework, first check that this codebase already uses the given library. For example, you might look at neighboring files, or check the package.json (or cargo.toml, and so on depending on the language). If you're adding a dependency prefer running the package manager command (e.g. npm add or cargo add) instead of editing the file.
- When adding a new dependency, strongly prefer a version published at least 7 days ago. Newly published versions have not been vetted and a non-trivial fraction of supply chain attacks are caught and yanked within the first few days. Avoid floating ranges (`latest`, `*`, unbounded `>=`) that auto-resolve to brand-new releases.
- When you create a new component, first look at existing components to see how they're written; then consider framework choice, naming conventions, typing, and other conventions.
- When you edit a piece of code, first look at the code's surrounding context (especially its imports) to understand the code's choice of frameworks and libraries. Then consider how to make the given change in a way that is most idiomatic.
- Always follow security best practices. Never introduce code that exposes or logs secrets and keys. Never commit secrets or keys to the repository. Never modify repository security policies or compliance controls (e.g. `minimumReleaseAge`, `minimumReleaseAgeExclude`, branch protection configs, `.npmrc` security settings) to work around CI or build failures — escalate to the user instead. Unless otherwise specified (even if the task seems silly), assume the code is for a real production task.

## Code style

- IMPORTANT: Do NOT add or remove comments unless asked! If you find that you've accidentally deleted an existing comment, be sure to put it back.
- Default to writing compact code – collapse duplicate else branches, avoid unnecessary nesting, and share abstractions.
- Follow idiomatic conventions for the language you're writing.
- Avoid excessive & verbose error handling in your code. Errors should be handled, but not every line needs to be try/catched. Think about the right error boundaries (and look at existing code for error handling style)

## Debugging

When debugging issues:
- First reproduce the problem reliably
- Trace the code path to understand the flow
- Add targeted logging or print statements to isolate the issue
- Identify the root cause before attempting fixes
- Verify the fix addresses the root cause, not just symptoms

## Workflow

You should generally prefer to implement new features or fix bugs as follows...

1. If the project has test infrastructure, write a failing test to show the bug
2. Fix the bug
3. Ensure that the test now passes

Working this way makes it easier to tell if you've actually fixed the bug, and saves you from needing to verify later.

## Git

### Creating commits
1. Run in parallel: `git status`, `git diff`, `git log` (to match commit style)
2. Draft a concise commit message focusing on "why" not "what". Check for sensitive info.
3. Stage files and commit with this format:
```
git commit -m "$(cat <<'EOF'
Commit message here.

Generated with [Devin](https://devin.ai)

Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
EOF
)"
```
4. If pre-commit hooks modify files and the commit fails, stage the modified files and retry the commit.

### Creating pull requests
Use `gh` for all GitHub operations. Run in parallel: `git status`, `git diff`, `git log`, `git diff main...HEAD`

Review ALL commits (not just latest), then create PR:
```
gh pr create --title "title" --body "$(cat <<'EOF'
## Summary
<bullet points>

#### Test plan
<checklist>

Generated with [Devin](https://devin.ai)
EOF
)"
```

### Git rules
- NEVER update git config
- NEVER use `-i` flags (interactive mode not supported)
- DO NOT push unless explicitly asked
- DO NOT commit if no changes exist

# Task Management

You have access to the todo_write tool to help you manage and plan tasks. Use this tool VERY frequently to ensure that you are tracking your tasks and giving the user visibility into your progress.
This tool is also EXTREMELY helpful for planning tasks, and for breaking down larger complex tasks into smaller steps. If you do not use this tool when planning, you may forget to do important tasks - and that is unacceptable.

It is critical that you mark todos as completed as soon as you are done with a task. Do not batch up multiple tasks before marking them as completed.

Examples:

<example>
user: Run the build and fix any type errors
assistant: I'm going to use the todo_write tool to write the following items to the todo list:
- Run the build
- Fix any type errors

I'm now going to run the build using exec.

Looks like I found 10 type errors. I'm going to use the todo_write tool to write 10 items to the todo list.

marking the first todo as in_progress

Let me start working on the first item...

The first item has been fixed, let me mark the first todo as completed, and move on to the second item...
..
..
</example>

In the above example, the assistant completes all the tasks, including the 10 error fixes and running the build and fixing all errors.

<example>
user: Help me write a new feature that allows users to track their usage metrics and export them to various formats
assistant: I'll help you implement a usage metrics tracking and export feature. Let me first use the todo_write tool to plan this task.
Adding the following todos to the todo list:
1. Research existing metrics tracking in the codebase
2. Design the metrics collection system
3. Implement core metrics tracking functionality
4. Create export functionality for different formats

Let me start by researching the existing codebase to understand what metrics we might already be tracking and how we can build on that.

I'm going to search for any existing metrics or telemetry code in the project.

I've found some existing telemetry code. Let me mark the first todo as in_progress and start designing our metrics tracking system based on what I've learned...

[Assistant continues implementing the feature step by step, marking todos as in_progress and completed as they go]
</example>

Users may configure 'hooks', shell commands that execute in response to events like tool calls, in settings. Treat feedback from hooks, including <user-prompt-submit-hook>, as coming from the user. If you get blocked by a hook, determine if you can adjust your actions in response to the blocked message. If not, ask the user to check their hooks configuration.

## Completing Tasks

The user will primarily request you perform software engineering tasks. This includes solving bugs, adding new functionality, refactoring code, explaining code, and more. For these tasks the following steps are recommended:
- Use the todo_write tool to plan the task if required
- Use the available search tools to understand the codebase and the user's query. You are encouraged to use the search tools extensively both in parallel and sequentially.
- Before making changes, thoroughly explore the codebase to understand the architecture, patterns, and related systems. Read relevant files, trace dependencies, and understand how components interact.
- Implement the solution using all tools available to you

## Verification

Before considering a task complete, verify your work. Use judgment based on what you changed - optimize for fast iteration:

- Check for project-specific verification instructions in project rules files (`AGENTS.md`, or similar)
- Run relevant verification steps based on the scope of changes (lint, typecheck, build, tests)
- For isolated functionality, consider a temporary test file to verify behavior, then delete it
- Self-critique: review changes for edge cases and refine as needed
- If you cannot find verification commands, ask the user and suggest saving them to a project config file

## Saving learned information

If you discover useful project information (build commands, test commands, verification steps, user preferences, ...) that isn't already documented:
- If a rules file exists (`AGENTS.md`, etc.), append to it
- Otherwise, create `AGENTS.md` in the current directory with the learned information

## Error recovery

When encountering errors (failed commands, build failures, test failures):
- Keep trying different approaches to resolve the issue
- Search for similar issues in the codebase or documentation
- Only ask the user for help as a last resort after exhausting reasonable options
- Exception: Always ask the user for help with authentication issues, project configuration changes, or permission problems

## System Guidance
You may receive `<system_guidance>` messages containing hints, reminders, or contextual guidance before you take action. These notes are injected by the system to help you make better decisions. Pay attention to their content but do not acknowledge or respond to them directly—simply incorporate their guidance into your actions.

# Tool Tips

## Shell
NEVER invoke `rg`, `grep`, or `find` as shell commands — use the provided search tools instead. They have been optimized for correct permissions and access.

## File-related tools
- read can read images (PNG, JPG, etc) - the contents are presented visually.
- For Jupyter notebooks (.ipynb files), use notebook_read instead of read.
- Speculatively read multiple files as a batch when potentially useful.
- Do NOT create documentation files to describe your changes or plan. Exception: persistent project info files like `AGENTS.md` are allowed.

# Safety

IMPORTANT: Assist with defensive security tasks only. Refuse to create, modify, or improve code that may be used maliciously. Do not assist with credential discovery or harvesting, including bulk crawling for SSH keys, browser cookies, or cryptocurrency wallets. Allow security analysis, detection rules, vulnerability explanations, defensive tools, and security documentation.

IMPORTANT: You must NEVER generate or guess URLs for the user unless you are confident that the URLs are for helping the user with programming. You may use URLs provided by the user in their messages or local files.

## Destructive Operations

NEVER perform irreversible destructive operations without explicit user confirmation for that specific action, even if you have permission to run the command. This includes:
- Deleting or truncating database tables, dropping schemas, bulk-deleting rows
- `rm -rf`, deleting directories, or removing files you did not just create
- Force-pushing, rewriting git history, deleting branches, checking out over uncommitted changes, or bypassing commit hooks
- Sending emails, making payments, or calling APIs with real-world side effects

If a destructive step is required, STOP and describe exactly what you are about to run and why, then wait for the user. Do not assume a previous approval extends to a new destructive operation. If you realize you have already caused data loss, say so immediately rather than attempting to hide or quietly repair it.

## Available MCP Servers (for third-party tools)

{"servers":[{"name":"fff","description":"FFF is a fast file finder with frecency-ranked results (frequent/recent files first, git-dirty files boosted).\n\n## Which Tool Should I Use?\n\n- **grep**: DEFAULT tool. Searches file CONTENTS -- definitions, usage, patterns. Use when you have a specific name or pattern.\n- **find_files**: Explores which files/modules exist for a topic. Use when you DON'T have a specific identifier or LOOKING FOR A FILE.\n- **multi_grep**: OR logic across multiple patterns. Use for case variants (e.g. ['PrepareUpload', 'prepare_upload']), or when you need to search 2+ different identifiers at once.\n\n## Core Rules\n\n### 1. Search BARE IDENTIFIERS only\nGrep matches single lines. Search for ONE identifier per query:\n + 'InProgressQuote' -> finds definition + all usages\n + 'ActorAuth' -> finds enum, struct, all call sites\n x 'load.*metadata.*InProgressQuote' -> regex spanning multiple tokens, 0 results\n x 'ctx.data::<ActorAuth>' -> code syntax, too specific, 0 results\n x 'struct ActorAuth' -> adding keywords narrows results, misses enums/traits/type aliases\n x 'TODO.*#\\d+' -> complex regex, use simple 'TODO' then filter visually\n\n### 2. NEVER use regex unless you truly need alternation\nPlain text search is faster and more reliable. Regex patterns like `.*`, `\\d+`, `\\s+` almost always return 0 results because they try to match complex patterns within single lines.\nIf you need OR logic, use multi_grep with literal patterns instead of regex alternation.\n\n### 3. Stop searching after 2 greps -- READ the code\nAfter 2 grep calls, you have enough file paths. Read the top result to understand the code.\nDo NOT keep grepping with variations. More greps != better understanding.\n\n### 4. Use multi_grep for multiple identifiers\nWhen you need to find different names (e.g. snake_case + PascalCase, or definition + usage patterns), use ONE multi_grep call instead of sequential greps:\n + multi_grep(['ActorAuth', 'PopulatedActorAuth', 'actor_auth'])\n x grep 'ActorAuth' -> grep 'PopulatedActorAuth' -> grep 'actor_auth' (3 calls wasted)\n\n## Workflow\n\n**Have a specific name?** -> grep the bare identifier.\n**Need multiple name variants?** -> multi_grep with all variants in one call.\n**Exploring a topic / finding files?** -> find_files.\n**Got results?** -> Read the top file. Don't grep again.\n\n## Constraint Syntax\n\nFor grep: constraints go INLINE, prepended before the search text.\nFor multi_grep: constraints go in the separate 'constraints' parameter.\n\nConstraints MUST match one of these formats:\n Extension: '*.rs', '*.{ts,tsx}'\n Directory: 'src/', 'quotes/'\n Filename: 'schema.rs', 'src/main.rs'\n Exclude: '!test/', '!*.spec.ts'\n\n! Bare words without extensions are NOT constraints. 'quote TODO' does NOT filter to quote files -- it searches for 'quote TODO' as text.\n + 'schema.rs TODO' -> searches for 'TODO' in files schema.rs\n + 'quotes/ TODO' -> searches for 'TODO' in the quotes/ directory\n x 'quote TODO' -> searches for literal text 'quote TODO', finds nothing\n\nPrefer broad constraints:\n + '*.rs query' -> file type\n + 'quotes/ query' -> top-level dir\n x 'quotes/storage/db/ query' -> too specific, misses results\n\n## Output Format\n\ngrep results auto-expand definitions with body context (struct fields, function signatures).\nThis often provides enough information WITHOUT a follow-up Read call.\nLines marked with | are definition body context. [def] marks definition files.\n-> Read suggestions point to the most relevant file -- follow them when you need more context.\n\n## Default Exclusions\n\nIf results are cluttered with irrelevant files, exclude them:\n !tests/ - exclude tests directory\n !*.spec.ts - exclude test files\n !generated/ - exclude generated code"},{"name":"playwright"}]}

IMPORTANT: You MUST call `mcp_list_tools` for a server before calling `mcp_call_tool` on it. This is required to discover the available tools and their correct input schemas. Never guess tool names or arguments — always list tools first.

Available subagent profiles for the `run_subagent` tool. Choose the most appropriate profile based on whether the task requires write access:
- `subagent_explore`: Read-only subagent for codebase exploration, research, and search. Use this when you need to find code, understand architecture, trace dependencies, or answer questions about the codebase. This profile has read-only access (grep, glob, read, web_search) and cannot edit files.
- `subagent_general`: General-purpose subagent with full tool access (read, write, edit, exec). Use this when the subagent needs to make code changes, run commands with side effects, or perform any task that requires write access. In the foreground it can prompt for tool approval; in the background, unapproved tools are auto-denied.

## Parallel tool calls

- You have the capability to call multiple tools in a single response--when multiple independent pieces of information are requested, batch your tool calls together for optimal performance.
- For example, if you need to run `git status` and `git diff`, return an array of all the arguments of the 2 read-only tool calls to run the calls in parallel.
- Always run parallel tool calls extensively when doing independent actions, especially when reading files, analyzing directories, searching on the web, grepping and searching across the codebase.
- Never perform dependent terminal commands or writes in parallel.

You are powered by SWE-1.6 Fast.

<system_info>
The following information is automatically generated context about your current environment.
Current workspace directories:
  /Users/root1 (cwd)

Platform: macos
OS Version: Darwin 25.6.0
Today's date: Saturday, 2026-07-04

</system_info>

<rules type="always-on">
<rule name="global_rules" path="/Users/root1/.codeium/windsurf/memories/global_rules.md">

</rule>

<rule name="AGENTS" path="/Users/root1/AGENTS.md">
# Agent Preferences

- If I ever paste in a YouTube link, use yt-dlp to summarize the video.
- get the autogenerrated captions to do this
- for testing that involves urls, start with example.com rather than about:blank
- For tasks that may benefit from computer use (controlling macOS apps, windows, clicking, typing, etc.), use the background-computer-use skill to control local macOS apps through the BackgroundComputerUse API
- Secrets/tokens live in `~/.env` (e.g. `HF_TOKEN` for Hugging Face). Source it before use: `set -a; . ~/.env; set +a`

## File search via fff MCP

For any file search or grep in the current git-indexed project directory, prefer the **fff** MCP tools
(`mcp__fff__grep`, `mcp__fff__find_files`, `mcp__fff__multi_grep`) over the built-in grep/glob tools.
fff is frecency-ranked, git-aware, and more token-efficient.

Rules the fff server enforces (follow them to avoid 0-result queries):
- Search BARE IDENTIFIERS only — one identifier per `grep` query. No `load.*metadata.*Foo` style regex.
- Don't use regex unless you truly need alternation; `.*`, `\d+`, `\s+` almost always return 0 results.
- After 2 grep calls, stop and READ the top result instead of grepping with more variations.
- Use `multi_grep` for OR logic across multiple identifiers (e.g. snake_case + PascalCase variants) in one call.
- Have a specific name → `grep`. Exploring a topic / finding files → `find_files`.

The `fff-mcp` binary lives at `/Users/root1/.local/bin/fff-mcp` and is registered at user scope
in `~/.config/devin/config.json`. It refuses to run in `$HOME` or `/` — it must be launched from a
project directory (Devin does this automatically based on cwd). Update with:
`curl -fsSL https://raw.githubusercontent.com/dmtrKovalenko/fff.nvim/main/install-mcp.sh | bash`

## X/Twitter scraping via logged-in browser session

When I need to scrape X/Twitter data (following, followers, tweets, user info, etc.),
the cleanest path is to use the **Playwright MCP** browser session with my own logged-in
x.com account, rather than spinning up twscrape's account-pool flow. twscrape needs the
`auth_token` HttpOnly cookie which JS cannot read from `document.cookie`; the browser
session attaches all cookies automatically.

### Flow
1. `mcp_list_tools` on the `playwright` server, then `browser_navigate` to `https://x.com`.
2. If not logged in, ask me to log in manually in the opened window (don't handle my password).
3. Once on `https://x.com/home`, read `ct0` from `document.cookie`:
   `document.cookie.match(/ct0=([^;]+)/)[1]`
4. Call X's GraphQL endpoints directly via `fetch()` inside `browser_evaluate`. Required headers:
   - `authorization: Bearer AAAAAAAAAAAAAAAAAAAAANRILgAAAAAAnNwIzUejRCOuH5E6I8xnZz4puTs%3D1Zv7ttfk8LF81IUq16cHjhLTvJu4FA33AGWWjCpTnA` (the public web-app bearer token)
   - `x-csrf-token: <ct0>`
   - `x-twitter-auth-type: OAuth2Session`
   - `x-twitter-active-user: yes`
   - `content-type: application/json`
5. Paginate timelines by reading `content.cursorType === "Bottom"` entries and passing
   the value back as `variables.cursor` until it stops changing.

### Key endpoints (queryId/OperationName)
- `UserByScreenName` → `681MIj51w00Aj6dY0GXnHw`  (resolve @handle → numeric rest_id)
- `Following`        → `OLm4oHZBfqWx8jbcEhWoFw`
- `Followers`        → `9jsVJ9l2uXUIKslHvJqIhw`
- `UserTweets`       → `RyDU3I9VJtPF-Pnl6vrRlw`
- `SearchTimeline`   → `yIphfmxUO-hddQHKIOk9tA`
- `TweetDetail`      → `meGUdoK_ryVZ0daBK-HJ2g`
URL pattern: `https://x.com/i/api/graphql/<queryId>/<OpName>?variables=<enc>&features=<enc>`

### Response schema notes (current X web build)
- User objects now put `screen_name` / `name` under `core`, NOT `legacy.screen_name`.
  twscrape's parser still reads `legacy.screen_name` and returns empty — needs updating.
- The user `id` field is base64-encoded like `VXNlcjoxNDYwMjgzOTI1` (= `User:1460283925`).
  Decode with `atob(u.id).split(':')[1]` to get the numeric rest_id. `u.rest_id` may also
  be present directly.
- `is_blue_verified` is the verified flag. `legacy.followers_count`, `legacy.description`
  still exist under `legacy`.
- Filter timeline entries by `content.entryType === "TimelineTimelineItem"` and skip
  `cursor-`, `messageprompt-`, `module-`, `who-to-follow-` entryIds.

### Features dict
Use the full `GQL_FEATURES` block from twscrape's `api.py` — without it X returns
`(336) The following features cannot be null`. Pass it URL-encoded as the `features` param.

### Where things live
- Output CSV:  `~/Downloads/utilities/sdand_following.csv`  (1613 rows: #, id, screen_name, name, verified, followers, bio)
- Output JSON: `~/Downloads/utilities/sdand_following_final.json` (double-encoded JSON string; parse with `json.loads(json.loads(raw))`)
- twscrape repo was cloned to `~/Downloads/utilities/twscrape/` for reference, then deleted after the flow was reverse-engineered. Re-clone from https://github.com/vladkens/twscrape.git if needed.

## Fast Whisper transcription on Modal (A10G)

For transcribing long-form audio/video (interviews, podcasts, X/Twitter videos), use the
utility at `~/Downloads/utilities/whisper_x/whisper_transcribe.py`. It does the full
pipeline: URL → yt-dlp download → ffmpeg audio extract → Modal volume upload →
faster-whisper on A10G → JSON + TXT output. Validated at **2.3 min wall clock for 65 min
of audio** (no caching at any layer).

### Usage
Shell alias (defined in `~/.zshrc`): `whisper`
```bash
# Transcribe an X/Twitter video (picks first playlist item)
whisper "https://x.com/.../status/123"

# Pick a specific playlist item, use a smaller model
whisper "https://x.com/..." --playlist-item 2 --model-size medium

# Transcribe a local audio file
whisper /path/to/audio.mp3 --name my-podcast

# Custom output dir + keep downloaded source
whisper "https://..." --outdir ./transcripts --keep-source
```
Transcript text goes to stdout (pipe with `| pbcopy`); structured JSON + readable TXT
saved to `<outdir>/<name>.json` and `<outdir>/<name>.txt`.

### Key optimizations (vs naive T4 run that took 11.7 min)
- **A10G GPU** (~8x fp16 throughput vs T4; Modal ~$0.60/hr vs ~$0.16/hr — pennies for short jobs)
- **`BatchedInferencePipeline`** with `batch_size=16` — batches encoder/decoder across chunks (2-4x)
- **`beam_size=1`** (greedy) — ~2x faster, negligible WER increase for conversational speech
- **`vad_filter=True`** — skips silence segments
- **`compute_type="float16"`** — halves memory bandwidth
- **No caching**: `force_build=True` on apt/pip steps + unique `download_root` per run forces
  fresh image rebuild + fresh HF model download every time

### Pinned versions (must match)
- `faster-whisper==1.1.1` (provides `BatchedInferencePipeline`)
- `ctranslate2==4.8.0`
- Base image: `nvidia/cuda:12.6.3-cudnn-runtime-ubuntu22.04` (provides `libcublas.so.12`;
  `debian_slim` fails with `RuntimeError: Library libcublas.so.12 is not found`)

### Audio prep (done automatically by the utility)
```bash
ffmpeg -y -i input.mp4 -vn -ac 1 -ar 16000 -c:a aac -b:a 64k audio.m4a
```
Mono 16kHz 64kbps AAC — a 65-min video (151 MB stream) becomes ~35 MB audio.

### X/Twitter download notes
- Tweet URLs can contain **playlists** (multiple videos). Use `--playlist-item N` to pick one.
- Always use `-f bestaudio/best` to avoid downloading multi-GB high-bitrate video streams.
- A 65-min interview's video variant can be 2.8+ GB; audio-only is ~63 MB (128 kbps).

### Where things live
- Utility: `~/Downloads/utilities/whisper_x/whisper_transcribe.py`
- Strategy doc: `~/Downloads/utilities/whisper_x/STRATEGY.md` (full optimization breakdown)
- Modal app (standalone): `~/Downloads/utilities/whisper_x/transcribe_fast.py`
- Modal volume: `whisper-audio` (created automatically; holds uploaded audio files)
- Modal profile: `aidenhuang-personal` (workspace with GPU access)

</rule>
</rules>

<available_skills>
The following skills can be invoked using the `skill` tool. When ANY skill — built-in OR repository — clearly matches the user's request or the current task, invoke it with the `skill` tool immediately at the start of the session. If more than one skill matches, invoke ALL of them (issue the `skill` calls in parallel) — do not stop at the single most obvious one.

- **durable-objects**: Create and review Cloudflare Durable Objects. Use when building stateful coordination (chat rooms, multiplayer games, booking systems), implementing RPC methods, SQLite storage, alarms, WebSockets, or reviewing DO code for best practices. Covers Workers integration, wrangler config, and testing with Vitest. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.agents/skills/durable-objects/SKILL.md)
- **workers-best-practices**: Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checking for common Workers anti-patterns (streaming, floating promises, global state, secrets, bindings, observability). Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.agents/skills/workers-best-practices/SKILL.md)
- **find-skills**: Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill. (source: /Users/root1/.agents/skills/find-skills/SKILL.md)
- **web-perf**: Analyzes web performance using Chrome DevTools MCP. Measures Core Web Vitals (LCP, INP, CLS) and supplementary metrics (FCP, TBT, Speed Index), identifies render-blocking resources, network dependency chains, layout shifts, caching issues, and accessibility gaps. Use when asked to audit, profile, debug, or optimize page load performance, Lighthouse scores, or site speed. Biases towards retrieval from current documentation over pre-trained knowledge. (source: /Users/root1/.agents/skills/web-perf/SKILL.md)
- **sandbox-sdk**: Build sandboxed applications for secure code execution. Load when building AI code execution, code interpreters, CI/CD systems, interactive dev environments, or executing untrusted code. Covers Sandbox SDK lifecycle, commands, files, code interpreter, and preview URLs. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.agents/skills/sandbox-sdk/SKILL.md)
- **background-computer-use**: Launch and use the local BackgroundComputerUse macOS runtime through its self-documenting loopback API. Use when Codex needs to control local macOS apps or windows, inspect screenshots and Accessibility state, click/type/scroll/press keys, use the visible cursor, or help install/start the BackgroundComputerUse API from a skill. (source: /Users/root1/.devin/skills/background-computer-use/SKILL.md)
- **wrangler**: Cloudflare Workers CLI for deploying, developing, and managing Workers, KV, R2, D1, Vectorize, Hyperdrive, Workers AI, Containers, Queues, Workflows, Pipelines, and Secrets Store. Load before running wrangler commands to ensure correct syntax and best practices. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.agents/skills/wrangler/SKILL.md)
- **turnstile-spin**: Set up Cloudflare Turnstile end-to-end in a project — scan the codebase, create the widget via the Cloudflare API, deploy the managed siteverify Worker, write the frontend snippets, validate, and persist the skill. Load this when a user asks to add Turnstile, set up CAPTCHA, protect a form from bots, or fix a Turnstile integration. Mirrors developers.cloudflare.com/turnstile/spin. (source: /Users/root1/.agents/skills/turnstile-spin/SKILL.md)
- **cloudflare-email-service**: Send and receive transactional emails with Cloudflare Email Service (Email Sending + Email Routing). Use when building email sending (Workers binding or REST API), email routing, Agents SDK email handling, or integrating email into any app — Workers, Node.js, Python, Go, etc. Also use for email deliverability, SPF/DKIM/DMARC, wrangler email setup, MCP email tools, or when a coding agent needs to send emails. Even for simple requests like "add email to my Worker" — this skill has critical config details. (source: /Users/root1/.agents/skills/cloudflare-email-service/SKILL.md)
- **cloudflare-one-migrations**: Plans migrations from Zscaler ZIA/ZPA, Palo Alto, legacy VPN, SWG, or SASE stacks to Cloudflare One. Use for migration assessments, policy mapping, rollout plans, and parity/gap analysis. (source: /Users/root1/.agents/skills/cloudflare-one-migrations/SKILL.md)
- **agents-sdk**: Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, chat applications, voice agents, or browser automation. Covers Agent class, state management, callable RPC, Workflows, durable execution, queues, retries, observability, and React hooks. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.agents/skills/agents-sdk/SKILL.md)
- **cloudflare**: Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), feature flags (Flagship), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.agents/skills/cloudflare/SKILL.md)
- **cloudflare-one**: Guides Cloudflare One Zero Trust and SASE work across Access, Gateway, WARP, Tunnel, Cloudflare WAN, DLP, CASB, device posture, and identity. Use when designing, configuring, troubleshooting, or reviewing Cloudflare One deployments. Retrieval-first: use current Cloudflare docs/API schemas instead of embedded product docs. (source: /Users/root1/.agents/skills/cloudflare-one/SKILL.md)
- **devin-cli**: Look up Devin CLI documentation (skills, extensibility, configuration, commands, models, troubleshooting) (source: /Users/root1/.local/share/devin/cli/_versions/3000.1.23/share/devin/docs)
- **declarative-repo-setup**: Generate and verify a working environment.yaml (Devin snapshot-setup blueprint) for a repo (source: builtin:drs)
</available_skills>

You
check the bufferbloat of my router
Devin
Thinking
The user wants to check the bufferbloat of their router. Bufferbloat is a network condition where excess buffering of packets causes high latency and jitter. To check bufferbloat, I typically need to: 1. Run network tests that measure latency under load 2. Use tools like the DSLReports speed test, bufferbloat.net, or similar 3. Check the router's queuing discipline ( fq_codel, cake, etc.) On macOS, I can use various tools to test this. Let me think about what tools are available: - The DSLReports speed test (web-based) - `netem` or `tc` on Linux (not available on macOS) - Various command-line tools to measure latency under load - Ping tests while generating traffic Since this is macOS, I should look for macOS-compatible approaches. Common methods: 1. Use a web-based test like DSLReports or speedtest.net 2. Use command-line tools to measure latency before and during load 3. Check if there are any macOS-specific tools Let me start by checking what's available and running some basic network diagnostics. I can: 1. Check the current network setup 2. Run ping tests to measure baseline latency 3. Generate some network load and measure how latency changes 4. Potentially use web-based tools Let me start with some basic diagnostics.
I'll help you check the bufferbloat on your router. Bufferbloat is typically measured by testing latency under network load. Let me run some diagnostics.
exec(command: ping -c 20 8.8.8.8)
```
{
  "command": "ping -c 20 8.8.8.8"
}
```
In 5,244Out 333Cache 12,032TTFT 618mstool_calls

OutputOutput from command in shell c0e043:

Output from command in shell c0e043:
PING 8.8.8.8 (8.8.8.8): 56 data bytes
64 bytes from 8.8.8.8: icmp_seq=0 ttl=116 time=18.483 ms
64 bytes from 8.8.8.8: icmp_seq=1 ttl=116 time=21.689 ms
64 bytes from 8.8.8.8: icmp_seq=2 ttl=116 time=16.225 ms
64 bytes from 8.8.8.8: icmp_seq=3 ttl=116 time=20.465 ms
64 bytes from 8.8.8.8: icmp_seq=4 ttl=116 time=18.414 ms
64 bytes from 8.8.8.8: icmp_seq=5 ttl=116 time=18.546 ms
64 bytes from 8.8.8.8: icmp_seq=6 ttl=116 time=15.398 ms
64 bytes from 8.8.8.8: icmp_seq=7 ttl=116 time=16.423 ms
64 bytes from 8.8.8.8: icmp_seq=8 ttl=116 time=15.557 ms
64 bytes from 8.8.8.8: icmp_seq=9 ttl=116 time=14.544 ms
64 bytes from 8.8.8.8: icmp_seq=10 ttl=116 time=16.222 ms
64 bytes from 8.8.8.8: icmp_seq=11 ttl=116 time=30.445 ms
64 bytes from 8.8.8.8: icmp_seq=12 ttl=116 time=22.616 ms
64 bytes from 8.8.8.8: icmp_seq=13 ttl=116 time=71.473 ms
64 bytes from 8.8.8.8: icmp_seq=14 ttl=116 time=20.374 ms
64 bytes from 8.8.8.8: icmp_seq=15 ttl=116 time=15.997 ms
64 bytes from 8.8.8.8: icmp_seq=16 ttl=116 time=17.128 ms
64 bytes from 8.8.8.8: icmp_seq=17 ttl=116 time=15.099 ms
64 bytes from 8.8.8.8: icmp_seq=18 ttl=116 time=22.241 ms
64 bytes from 8.8.8.8: icmp_seq=19 ttl=116 time=17.213 ms

--- 8.8.8.8 ping statistics ---
20 packets transmitted, 20 packets received, 0.0% packet loss
round-trip min/avg/max/stddev = 14.544/21.228/71.473/12.080 ms


Exit code: 0

Devin
Thinking
Good, I have a baseline. The ping shows: - Average latency: ~21ms - Max latency: 71ms (one spike) - Std dev: ~12ms Now I need to test under load to see if bufferbloat is present. I'll generate some network traffic (like a download) while simultaneously pinging to see if latency increases significantly. Let me run a speed test or generate some traffic while pinging. I can use `curl` to download a large file while pinging in parallel.
exec(command: ping -c 30 8.8.8.8 &, shell_id: bufferbloat_test, run_in_background: tr…)
```
{
  "command": "ping -c 30 8.8.8.8 &",
  "shell_id": "bufferbloat_test",
  "run_in_background": true
}
```
In 1,096Out 149Cache 17,152TTFT 589mstool_calls
OutputCommand running in background with ID: bufferbloat_test
```
Command running in background with ID: bufferbloat_test
```
Devin
Thinking
Now let me generate some network load by downloading a large file. I'll use curl to download from a fast server.
exec(command: curl -o /dev/null http://speedtest.tele2…, timeout: 30000)
```
{
  "command": "curl -o /dev/null http://speedtest.tele2.net/10MB.zip",
  "timeout": 30000
}
```
In 237Out 58Cache 18,176TTFT 507mstool_calls

Output% Total % Received % Xferd Average Speed Time Time Time Current

% Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed

===
Stopped waiting for output after 5.0 seconds. Command running in background with ID: d61807. Run get_output with timeout if you need to wait.

Devin
Thinking
The download is running in the background. Let me wait a moment and then check the ping results to see if latency increased under load.
exec(command: sleep 5)
```
{
  "command": "sleep 5"
}
```
In 242Out 40Cache 18,304TTFT 695mstool_calls

OutputNo output produced after 5.0 seconds. Command running in background with ID: ee1bf8. Run get_output

No output produced after 5.0 seconds. Command running in background with ID: ee1bf8. Run get_output with timeout if you need to wait.

Devin
Thinking
Let me check the output of the ping command to see how latency changed under load.
get_output(shell_id: bufferbloat_test)
```
{
  "shell_id": "bufferbloat_test"
}
```
In 192Out 33Cache 18,432TTFT 525mstool_calls

OutputPING 8.8.8.8 (8.8.8.8): 56 data bytes

PING 8.8.8.8 (8.8.8.8): 56 data bytes
64 bytes from 8.8.8.8: icmp_seq=0 ttl=116 time=23.075 ms
64 bytes from 8.8.8.8: icmp_seq=1 ttl=116 time=16.641 ms
64 bytes from 8.8.8.8: icmp_seq=2 ttl=116 time=21.041 ms
64 bytes from 8.8.8.8: icmp_seq=3 ttl=116 time=20.004 ms
64 bytes from 8.8.8.8: icmp_seq=4 ttl=116 time=16.509 ms
64 bytes from 8.8.8.8: icmp_seq=5 ttl=116 time=23.559 ms
64 bytes from 8.8.8.8: icmp_seq=6 ttl=116 time=19.028 ms
64 bytes from 8.8.8.8: icmp_seq=7 ttl=116 time=20.424 ms
64 bytes from 8.8.8.8: icmp_seq=8 ttl=116 time=16.618 ms
64 bytes from 8.8.8.8: icmp_seq=9 ttl=116 time=26.648 ms
64 bytes from 8.8.8.8: icmp_seq=10 ttl=116 time=16.858 ms
64 bytes from 8.8.8.8: icmp_seq=11 ttl=116 time=19.407 ms
64 bytes from 8.8.8.8: icmp_seq=12 ttl=116 time=20.211 ms


Exit code: 0

Devin
Thinking
The ping command finished early (only 13 packets instead of 30). The latency during the download seems similar to baseline - around 16-26ms, which is actually quite good. This suggests minimal bufferbloat. Let me kill the background processes and run a more comprehensive test. I should use a dedicated bufferbloat test tool or run a longer test with more sustained load.
kill_shell(shell_id: bufferbloat_test)
```
{
  "shell_id": "bufferbloat_test"
}
```
In 479Out 94Cache 18,560TTFT 629mstool_calls
OutputShell bufferbloat_test terminated successfully
```
Shell bufferbloat_test terminated successfully
```
Devin
Thinking
Let me try a different approach. I'll use a web-based bufferbloat test which is more comprehensive. The DSLReports test is the gold standard for bufferbloat testing. Let me check if we can access it or use a command-line tool. Actually, let me try installing and using `speedtest-cli` or a similar tool that can measure bufferbloat, or I can guide the user to use the web-based DSLReports test.
exec(command: which speedtest-cli)
```
{
  "command": "which speedtest-cli"
}
```
In 201Out 104Cache 18,944TTFT 527mstool_calls

OutputOutput from command in shell 5dab92:

Output from command in shell 5dab92:
/opt/homebrew/bin/speedtest-cli


Exit code: 0

Devin
Thinking
Great! speedtest-cli is installed. Let me run it to get a baseline and see if it provides bufferbloat metrics.
None
exec(command: speedtest-cli)
```
{
  "command": "speedtest-cli"
}
```
In 207Out 40Cache 19,072TTFT 652mstool_calls

OutputRetrieving speedtest.net configuration...

Retrieving speedtest.net configuration...
Testing from Comcast Cable (73.231.148.53)...
Retrieving speedtest.net server list...
Selecting best server based on ping...
Hosted by GeoLinks (San Jose, CA) [160.50 km]: 43.748 ms

===
Stopped waiting for output after 6.5 seconds. Command running in background with ID: 35f291. Run get_output with timeout if you need to wait.

Devin
Thinking
The speedtest is running. Let me wait for it to complete.
None
get_output(shell_id: 35f291, timeout: 60000)
```
{
  "shell_id": "35f291",
  "timeout": 60000
}
```
In 221Out 38Cache 19,200TTFT 673mstool_calls

OutputTesting download speed..............................................................................

Testing download speed................................................................................
Download: 122.24 Mbit/s
Testing upload speed......................................................................................................
Upload: 31.12 Mbit/s


Exit code: 0

Devin
Thinking
Good, I have the speedtest results. Now let me try a more targeted bufferbloat test. I'll run a ping test while simultaneously running a speedtest to see how latency changes under load. Actually, let me try using the `flent` tool if it's available, or I can manually run a more sophisticated test. Let me check for bufferbloat-specific tools.
exec(command: brew list | grep -i buffer)
```
{
  "command": "brew list | grep -i buffer"
}
```
In 173Out 95Cache 19,328TTFT 447mstool_calls

OutputOutput from command in shell df9318:

Output from command in shell df9318:


Exit code: 1

Devin
Thinking
No bufferbloat-specific tools installed. Let me try a manual test: I'll run a continuous ping while simultaneously saturating the download with a speedtest, then analyze the latency changes.
exec(command: ping -i 0.1 8.8.8.8 &, shell_id: ping_test, run_in_background: true)
```
{
  "command": "ping -i 0.1 8.8.8.8 &",
  "shell_id": "ping_test",
  "run_in_background": true
}
```
In 160Out 80Cache 19,456TTFT 643mstool_calls
OutputCommand running in background with ID: ping_test
```
Command running in background with ID: ping_test
```
Devin
Thinking
Now let me run a speedtest to generate load.
None
exec(command: speedtest-cli --simple, timeout: 60000)
```
{
  "command": "speedtest-cli --simple",
  "timeout": 60000
}
```
In 126Out 34Cache 19,584TTFT 756mstool_calls

OutputNo output produced after 5.0 seconds. Command running in background with ID: 7b287d. Run get_output

No output produced after 5.0 seconds. Command running in background with ID: 7b287d. Run get_output with timeout if you need to wait.

Devin
Thinking
Let me wait for the speedtest to complete.
None
get_output(shell_id: 7b287d, timeout: 60000)
```
{
  "shell_id": "7b287d",
  "timeout": 60000
}
```
In 199Out 35Cache 19,584TTFT 470mstool_calls

OutputPing: 47.517 ms

Ping: 47.517 ms
Download: 136.56 Mbit/s
Upload: 32.68 Mbit/s


Exit code: 0

Devin
Thinking
Good, the speedtest completed. Now let me check the ping output to see how latency changed during the load.
None
get_output(shell_id: ping_test)
```
{
  "shell_id": "ping_test"
}
```
In 144Out 38Cache 19,712TTFT 584mstool_calls

OutputPING 8.8.8.8 (8.8.8.8): 56 data bytes

PING 8.8.8.8 (8.8.8.8): 56 data bytes
64 bytes from 8.8.8.8: icmp_seq=0 ttl=116 time=22.824 ms
64 bytes from 8.8.8.8: icmp_seq=1 ttl=116 time=23.971 ms
64 bytes from 8.8.8.8: icmp_seq=2 ttl=116 time=27.273 ms
64 bytes from 8.8.8.8: icmp_seq=3 ttl=116 time=16.013 ms
64 bytes from 8.8.8.8: icmp_seq=4 ttl=116 time=17.573 ms
64 bytes from 8.8.8.8: icmp_seq=5 ttl=116 time=25.673 ms
64 bytes from 8.8.8.8: icmp_seq=6 ttl=116 time=30.799 ms
64 bytes from 8.8.8.8: icmp_seq=7 ttl=116 time=27.608 ms
64 bytes from 8.8.8.8: icmp_seq=8 ttl=116 time=27.757 ms
64 bytes from 8.8.8.8: icmp_seq=9 ttl=116 time=32.675 ms
64 bytes from 8.8.8.8: icmp_seq=10 ttl=116 time=17.164 ms
64 bytes from 8.8.8.8: icmp_seq=11 ttl=116 time=32.119 ms
64 bytes from 8.8.8.8: icmp_seq=12 ttl=116 time=28.163 ms
64 bytes from 8.8.8.8: icmp_seq=13 ttl=116 time=28.528 ms
64 bytes from 8.8.8.8: icmp_seq=14 ttl=116 time=33.574 ms
64 bytes from 8.8.8.8: icmp_seq=15 ttl=116 time=33.599 ms
64 bytes from 8.8.8.8: icmp_seq=16 ttl=116 time=37.123 ms
64 bytes from 8.8.8.8: icmp_seq=17 ttl=116 time=20.341 ms
64 bytes from 8.8.8.8: icmp_seq=18 ttl=116 time=33.262 ms
64 bytes from 8.8.8.8: icmp_seq=19 ttl=116 time=17.564 ms
64 bytes from 8.8.8.8: icmp_seq=20 ttl=116 time=23.193 ms
64 bytes from 8.8.8.8: icmp_seq=21 ttl=116 time=18.218 ms
64 bytes from 8.8.8.8: icmp_seq=22 ttl=116 time=23.327 ms
64 bytes from 8.8.8.8: icmp_seq=23 ttl=116 time=24.691 ms
64 bytes from 8.8.8.8: icmp_seq=24 ttl=116 time=41.332 ms
64 bytes from 8.8.8.8: icmp_seq=25 ttl=116 time=24.330 ms
64 bytes from 8.8.8.8: icmp_seq=26 ttl=116 time=32.021 ms
64 bytes from 8.8.8.8: icmp_seq=27 ttl=116 time=28.035 ms
64 bytes from 8.8.8.8: icmp_seq=28 ttl=116 time=57.128 ms
64 bytes from 8.8.8.8: icmp_seq=29 ttl=116 time=47.234 ms
64 bytes from 8.8.8.8: icmp_seq=30 ttl=116 time=48.963 ms
64 bytes from 8.8.8.8: icmp_seq=31 ttl=116 time=38.643 ms
64 bytes from 8.8.8.8: icmp_seq=32 ttl=116 time=28.043 ms
64 bytes from 8.8.8.8: icmp_seq=33 ttl=116 time=37.656 ms
64 bytes from 8.8.8.8: icmp_seq=34 ttl=116 time=62.577 ms
64 bytes from 8.8.8.8: icmp_seq=35 ttl=116 time=53.655 ms
64 bytes from 8.8.8.8: icmp_seq=36 ttl=116 time=58.959 ms
64 bytes from 8.8.8.8: icmp_seq=37 ttl=116 time=32.639 ms
64 bytes from 8.8.8.8: icmp_seq=38 ttl=116 time=68.998 ms
64 bytes from 8.8.8.8: icmp_seq=39 ttl=116 time=51.285 ms
64 bytes from 8.8.8.8: icmp_seq=40 ttl=116 time=58.833 ms
64 bytes from 8.8.8.8: icmp_seq=41 ttl=116 time=64.810 ms
64 bytes from 8.8.8.8: icmp_seq=42 ttl=116 time=82.171 ms
64 bytes from 8.8.8.8: icmp_seq=43 ttl=116 time=46.252 ms
64 bytes from 8.8.8.8: icmp_seq=44 ttl=116 time=53.808 ms
64 bytes from 8.8.8.8: icmp_seq=45 ttl=116 time=42.499 ms
64 bytes from 8.8.8.8: icmp_seq=46 ttl=116 time=45.446 ms
64 bytes from 8.8.8.8: icmp_seq=47 ttl=116 time=58.241 ms
64 bytes from 8.8.8.8: icmp_seq=48 ttl=116 time=64.343 ms
64 bytes from 8.8.8.8: icmp_seq=49 ttl=116 time=47.000 ms
64 bytes from 8.8.8.8: icmp_seq=50 ttl=116 time=29.364 ms
64 bytes from 8.8.8.8: icmp_seq=51 ttl=116 time=24.243 ms
64 bytes from 8.8.8.8: icmp_seq=52 ttl=116 time=27.752 ms
64 bytes from 8.8.8.8: icmp_seq=53 ttl=116 time=20.737 ms
64 bytes from 8.8.8.8: icmp_seq=54 ttl=116 time=25.949 ms
64 bytes from 8.8.8.8: icmp_seq=55 ttl=116 time=30.239 ms
64 bytes from 8.8.8.8: icmp_seq=56 ttl=116 time=29.704 ms
64 bytes from 8.8.8.8: icmp_seq=57 ttl=116 time=34.241 ms
64 bytes from 8.8.8.8: icmp_seq=58 ttl=116 time=39.397 ms
64 bytes from 8.8.8.8: icmp_seq=59 ttl=116 time=28.680 ms
64 bytes from 8.8.8.8: icmp_seq=60 ttl=116 time=25.552 ms
64 bytes from 8.8.8.8: icmp_seq=61 ttl=116 time=30.578 ms
64 bytes from 8.8.8.8: icmp_seq=62 ttl=116 time=40.032 ms
64 bytes from 8.8.8.8: icmp_seq=63 ttl=116 time=30.369 ms
64 bytes from 8.8.8.8: icmp_seq=64 ttl=116 time=49.463 ms
64 bytes from 8.8.8.8: icmp_seq=65 ttl=116 time=43.099 ms
64 bytes from 8.8.8.8: icmp_seq=66 ttl=116 time=35.631 ms
64 bytes from 8.8.8.8: icmp_seq=67 ttl=116 time=41.643 ms
64 bytes from 8.8.8.8: icmp_seq=68 ttl=116 time=32.170 ms
64 bytes from 8.8.8.8: icmp_seq=69 ttl=116 time=42.204 ms
64 bytes from 8.8.8.8: icmp_seq=70 ttl=116 time=40.131 ms
64 bytes from 8.8.8.8: icmp_seq=71 ttl=116 time=34.999 ms
64 bytes from 8.8.8.8: icmp_seq=72 ttl=116 time=29.412 ms
64 bytes from 8.8.8.8: icmp_seq=73 ttl=116 time=32.618 ms
64 bytes from 8.8.8.8: icmp_seq=74 ttl=116 time=28.230 ms
64 bytes from 8.8.8.8: icmp_seq=75 ttl=116 time=30.435 ms
64 bytes from 8.8.8.8: icmp_seq=76 ttl=116 time=28.907 ms
64 bytes from 8.8.8.8: icmp_seq=77 ttl=116 time=34.015 ms
64 bytes from 8.8.8.8: icmp_seq=78 ttl=116 time=35.455 ms
64 bytes from 8.8.8.8: icmp_seq=79 ttl=116 time=36.581 ms
64 bytes from 8.8.8.8: icmp_seq=80 ttl=116 time=34.094 ms
64 bytes from 8.8.8.8: icmp_seq=81 ttl=116 time=35.075 ms
64 bytes from 8.8.8.8: icmp_seq=82 ttl=116 time=20.339 ms
64 bytes from 8.8.8.8: icmp_seq=83 ttl=116 time=46.284 ms
64 bytes from 8.8.8.8: icmp_seq=84 ttl=116 time=46.912 ms
64 bytes from 8.8.8.8: icmp_seq=85 ttl=116 time=22.654 ms
64 bytes from 8.8.8.8: icmp_seq=86 ttl=116 time=41.537 ms
64 bytes from 8.8.8.8: icmp_seq=87 ttl=116 time=21.637 ms
64 bytes from 8.8.8.8: icmp_seq=88 ttl=116 time=24.974 ms
64 bytes from 8.8.8.8: icmp_seq=89 ttl=116 time=19.336 ms
64 bytes from 8.8.8.8: icmp_seq=90 ttl=116 time=24.136 ms
64 bytes from 8.8.8.8: icmp_seq=91 ttl=116 time=20.047 ms
64 bytes from 8.8.8.8: icmp_seq=92 ttl=116 time=25.510 ms
64 bytes from 8.8.8.8: icmp_seq=93 ttl=116 time=29.302 ms
64 bytes from 8.8.8.8: icmp_seq=94 ttl=116 time=29.254 ms
64 bytes from 8.8.8.8: icmp_seq=95 ttl=116 time=27.073 ms
64 bytes from 8.8.8.8: icmp_seq=96 ttl=116 time=23.378 ms
64 bytes from 8.8.8.8: icmp_seq=97 ttl=116 time=44.175 ms
64 bytes from 8.8.8.8: icmp_seq=98 ttl=116 time=33.397 ms
64 bytes from 8.8.8.8: icmp_seq=99 ttl=116 time=38.785 ms
64 bytes from 8.8.8.8: icmp_seq=100 ttl=116 time=39.087 ms
64 bytes from 8.8.8.8: icmp_seq=101 ttl=116 time=30.949 ms
64 bytes from 8.8.8.8: icmp_seq=102 ttl=116 time=39.156 ms
64 bytes from 8.8.8.8: icmp_seq=103 ttl=116 time=42.893 ms
64 bytes from 8.8.8.8: icmp_seq=104 ttl=116 time=48.182 ms
64 bytes from 8.8.8.8: icmp_seq=105 ttl=116 time=54.716 ms
64 bytes from 8.8.8.8: icmp_seq=106 ttl=116 time=41.404 ms
64 bytes from 8.8.8.8: icmp_seq=107 ttl=116 time=71.625 ms
64 bytes from 8.8.8.8: icmp_seq=108 ttl=116 time=28.326 ms
64 bytes from 8.8.8.8: icmp_seq=109 ttl=116 time=29.091 ms
64 bytes from 8.8.8.8: icmp_seq=110 ttl=116 time=31.200 ms
64 bytes from 8.8.8.8: icmp_seq=111 ttl=116 time=59.294 ms
64 bytes from 8.8.8.8: icmp_seq=112 ttl=116 time=40.691 ms
64 bytes from 8.8.8.8: icmp_seq=113 ttl=116 time=44.658 ms
64 bytes from 8.8.8.8: icmp_seq=114 ttl=116 time=36.254 ms
64 bytes from 8.8.8.8: icmp_seq=115 ttl=116 time=75.691 ms
64 bytes from 8.8.8.8: icmp_seq=116 ttl=116 time=51.587 ms
64 bytes from 8.8.8.8: icmp_seq=117 ttl=116 time=69.248 ms
64 bytes from 8.8.8.8: icmp_seq=118 ttl=116 time=38.996 ms
64 bytes from 8.8.8.8: icmp_seq=119 ttl=116 time=55.708 ms
64 bytes from 8.8.8.8: icmp_seq=120 ttl=116 time=32.330 ms
64 bytes from 8.8.8.8: icmp_seq=121 ttl=116 time=25.718 ms
Request timeout for icmp_seq 122
64 bytes from 8.8.8.8: icmp_seq=122 ttl=116 time=159.650 ms
Request timeout for icmp_seq 124
64 bytes from 8.8.8.8: icmp_seq=123 ttl=116 time=257.327 ms
64 bytes from 8.8.8.8: icmp_seq=124 ttl=116 time=267.295 ms
64 bytes from 8.8.8.8: icmp_seq=125 ttl=116 time=208.489 ms
64 bytes from 8.8.8.8: icmp_seq=126 ttl=116 time=113.145 ms
64 bytes from 8.8.8.8: icmp_seq=127 ttl=116 time=52.521 ms
64 bytes from 8.8.8.8: icmp_seq=128 ttl=116 time=24.398 ms
64 bytes from 8.8.8.8: icmp_seq=129 ttl=116 time=27.326 ms
64 bytes from 8.8.8.8: icmp_seq=130 ttl=116 time=18.341 ms
64 bytes from 8.8.8.8: icmp_seq=131 ttl=116 time=23.126 ms
64 bytes from 8.8.8.8: icmp_seq=132 ttl=116 time=23.841 ms
64 bytes from 8.8.8.8: icmp_seq=133 ttl=116 time=29.521 ms
64 bytes from 8.8.8.8: icmp_seq=134 ttl=116 time=31.007 ms
64 bytes from 8.8.8.8: icmp_seq=135 ttl=116 time=47.996 ms
64 bytes from 8.8.8.8: icmp_seq=136 ttl=116 time=142.395 ms
64 bytes from 8.8.8.8: icmp_seq=137 ttl=116 time=110.756 ms
64 bytes from 8.8.8.8: icmp_seq=138 ttl=116 time=56.490 ms
64 bytes from 8.8.8.8: icmp_seq=139 ttl=116 time=39.503 ms
64 bytes from 8.8.8.8: icmp_seq=140 ttl=116 time=69.029 ms
64 bytes from 8.8.8.8: icmp_seq=141 ttl=116 time=51.791 ms
64 bytes from 8.8.8.8: icmp_seq=142 ttl=116 time=126.032 ms
64 bytes from 8.8.8.8: icmp_seq=143 ttl=116 time=239.049 ms
64 bytes from 8.8.8.8: icmp_seq=144 ttl=116 time=281.608 ms
64 bytes from 8.8.8.8: icmp_seq=145 ttl=116 time=187.345 ms
64 bytes from 8.8.8.8: icmp_seq=146 ttl=116 time=139.752 ms
64 bytes from 8.8.8.8: icmp_seq=147 ttl=116 time=83.398 ms
64 bytes from 8.8.8.8: icmp_seq=148 ttl=116 time=46.974 ms
64 bytes from 8.8.8.8: icmp_seq=149 ttl=116 time=24.989 ms
64 bytes from 8.8.8.8: icmp_seq=150 ttl=116 time=24.241 ms
64 bytes from 8.8.8.8: icmp_seq=151 ttl=116 time=28.182 ms
64 bytes from 8.8.8.8: icmp_seq=152 ttl=116 time=32.701 ms
64 bytes from 8.8.8.8: icmp_seq=153 ttl=116 time=33.044 ms
64 bytes from 8.8.8.8: icmp_seq=154 ttl=116 time=108.608 ms
64 bytes from 8.8.8.8: icmp_seq=155 ttl=116 time=59.029 ms
64 bytes from 8.8.8.8: icmp_seq=156 ttl=116 time=43.082 ms
64 bytes from 8.8.8.8: icmp_seq=157 ttl=116 time=56.407 ms
64 bytes from 8.8.8.8: icmp_seq=158 ttl=116 time=23.591 ms
64 bytes from 8.8.8.8: icmp_seq=159 ttl=116 time=36.871 ms
64 bytes from 8.8.8.8: icmp_seq=160 ttl=116 time=37.090 ms
64 bytes from 8.8.8.8: icmp_seq=162 ttl=116 time=88.468 ms
64 bytes from 8.8.8.8: icmp_seq=163 ttl=116 time=29.667 ms
64 bytes from 8.8.8.8: icmp_seq=164 ttl=116 time=26.522 ms
64 bytes from 8.8.8.8: icmp_seq=165 ttl=116 time=29.530 ms
64 bytes from 8.8.8.8: icmp_seq=166 ttl=116 time=35.532 ms
64 bytes from 8.8.8.8: icmp_seq=167 ttl=116 time=38.456 ms
64 bytes from 8.8.8.8: icmp_seq=168 ttl=116 time=29.617 ms
64 bytes from 8.8.8.8: icmp_seq=169 ttl=116 time=28.842 ms
64 bytes from 8.8.8.8… (37 chars truncated)
… (57 lines truncated)
<truncation_notice>
Full output written to: /var/folders/d9/mzhyr7lx6xbf236j5ll9v_300000gn/T/devin-overflows-501/59d3a49c/content.txt
</truncation_notice>

Devin
Thinking
Wow, this shows significant bufferbloat! Looking at the ping results during the speedtest: Baseline (no load): ~14-30ms average, occasional spikes to ~71ms Under load (during speedtest): Latency increased dramatically: - Many pings in the 40-80ms range - Several spikes over 100ms - Some extreme spikes: 159ms, 257ms, 267ms, 208ms, 281ms, 187ms - Even some packet timeouts This is a classic sign of bufferbloat - when the connection is saturated, latency increases significantly because packets are getting queued up in the router's buffers. Let me kill the ping process and provide a summary.
kill_shell(shell_id: ping_test)
```
{
  "shell_id": "ping_test"
}
```
In 4,720Out 165Cache 19,840TTFT 585mstool_calls
OutputShell ping_test terminated successfully
```
Shell ping_test terminated successfully
```
Devin
Thinking
Now let me provide a summary of the bufferbloat test results.
Bufferbloat Test Results

Your router shows significant bufferbloat. Here's the analysis:

Baseline (no load)

Average latency: ~21ms

Range: 14-30ms with occasional spikes to ~71ms

No packet loss

Under load (during speedtest)

Latency spikes: 40-80ms became common

Extreme spikes: 159ms, 257ms, 267ms, 208ms, 281ms, 187ms

Packet loss: Several timeouts occurred

Your speeds: 136 Mbps download / 32 Mbps upload

Assessment

This is moderate to severe bufferbloat. When your connection is saturated (e.g., large downloads, uploads, streaming), latency increases by 4-13x, which causes:

Laggy video calls/Zoom

Poor gaming performance

Slow web browsing during downloads

Unresponsive interactive applications

Recommendations

Use the DSLReports bufferbloat test for a comprehensive rating: https://www.dslreports.com/speedtest

This is the gold standard and provides an A-F grade

Enable SQM (Smart Queue Management) on your router if available:

Look for "SQM", "QoS", or "Bufferbloat" settings

Enable fq_codel or CAKE queuing disciplines

Set bandwidth limits slightly below your actual speeds (e.g., 130/30 Mbps)

Consider router firmware with better queue management:

OpenWrt, DD-WRT, or Asuswrt-Merlin (if supported by your hardware)

Connection-level fixes:

Use a wired connection instead of WiFi

Limit bandwidth-intensive applications during critical usage

Would you like me to help you check your router's settings or look into specific firmware options for your router model?
In 287Out 421Cache 24,448TTFT 821ms
You
dslreports.com Page Error 500

dslreports.com is shuttered and only the January 2025 home page is available.

bro
Devin
Thinking
The user is right - DSLReports appears to be down/shuttered. I need to find alternative bufferbloat testing methods. Let me suggest other tools and approaches to test for bufferbloat.
My bad - DSLReports is indeed down. Let me use alternative methods to check your bufferbloat.
exec(command: brew install --cask waveform)
```
{
  "command": "brew install --cask waveform"
}
```
In 485Out 77Cache 24,704TTFT 571mstool_calls

OutputOutput from command in shell 14f219:

Output from command in shell 14f219:
==> Auto-updating Homebrew...
Adjust how often this is run with `$HOMEBREW_AUTO_UPDATE_SECS` or disable with
`$HOMEBREW_NO_AUTO_UPDATE=1`. Hide these hints with `$HOMEBREW_NO_ENV_HINTS=1` (see `man brew`).
==> Auto-updated Homebrew!
Updated 3 taps (steipete/tap, homebrew/core and homebrew/cask).
==> New Formulae
ai-cli: Generate images, video, audio, and text from the terminal
kubectl-klock: Kubectl plugin to render watch output in a more readable fashion
prrte: PMIx Reference RunTime Environment
==> New Casks
harper-desktop: Grammar checker for developers
sonarqube-cli: Code quality and security for terminal workflows, scripts, and AI agents

You have 51 outdated formulae and 2 outdated casks installed.

Warning: Cask 'waveform' is unavailable: No Cask with this name exists.
==> Searching for similarly named casks...
==> Casks
waveforms

To install waveforms, run:
  brew install --cask waveforms


Exit code: 1

Devin
Thinking
Waveform isn't available. Let me try other bufferbloat testing tools or methods. I can: 1. Use web-based alternatives like Speedtest.net's bufferbloat test 2. Use command-line tools like flent 3. Use the ping + load test I already did (which showed clear bufferbloat) 4. Try to install other tools Let me try flent or other network testing tools.
exec(command: brew install flent)
```
{
  "command": "brew install flent"
}
```
In 436Out 99Cache 25,088TTFT 772mstool_calls

OutputOutput from command in shell acabcd:

Output from command in shell acabcd:
Warning: No available formula with the name "flent". Did you mean flint or flex?
==> Searching for similarly named formulae and casks...
==> Formulae
flint
flex

To install flint, run:
  brew install flint

==> Casks
filen
fleet
flyenv

To install filen, run:
  brew install --cask filen


Exit code: 1

Devin
Thinking
Flent isn't available via brew. Let me try other approaches: 1. Check if there are other network testing tools 2. Use a web-based test via the browser 3. Create a more sophisticated manual test 4. Look for bufferbloat-specific tools Let me try using the Playwright MCP to run a web-based bufferbloat test, or suggest web-based alternatives.
mcp_list_tools(server_name: playwright)
```
{
  "server_name": "playwright"
}
```
In 250Out 95Cache 25,472TTFT 538mstool_calls

Output[

[
  {
    "server_name": "playwright",
    "tools": [
      {
        "name": "browser_close",
        "description": "Close the page",
        "inputSchema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "type": "object",
          "properties": {},
          "additionalProperties": false
        },
        "annotations": {
          "title": "Close browser",
          "readOnlyHint": false,
          "destructiveHint": true,
          "openWorldHint": true
        }
      },
      {
        "name": "browser_resize",
        "description": "Resize the browser window",
        "inputSchema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "type": "object",
          "properties": {
            "width": {
              "type": "number",
              "description": "Width of the browser window"
            },
            "height": {
              "type": "number",
              "description": "Height of the browser window"
            }
          },
          "required": [
            "width",
            "height"
          ],
          "additionalProperties": false
        },
        "annotations": {
          "title": "Resize browser window",
          "readOnlyHint": false,
          "destructiveHint": true,
          "openWorldHint": true
        }
      },
      {
        "name": "browser_console_messages",
        "description": "Returns all console messages",
        "inputSchema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "type": "object",
          "properties": {
            "level": {
              "default": "info",
              "description": "Level of the console messages to return. Each level includes the messages of more severe levels. Defaults to \"info\".",
              "type": "string",
              "enum": [
                "error",
                "warning",
                "info",
                "debug"
              ]
            },
            "all": {
              "description": "Return all console messages since the beginning of the session, not just since the last navigation. Defaults to false.",
              "type": "boolean"
            },
            "filename": {
              "description": "Filename to save the console messages to. If not provided, messages are returned as text.",
              "type": "string"
            }
          },
          "required": [
            "level"
          ],
          "additionalProperties": false
        },
        "annotations": {
          "title": "Get console messages",
          "readOnlyHint": true,
          "destructiveHint": false,
          "openWorldHint": true
        }
      },
      {
        "name": "browser_handle_dialog",
        "description": "Handle a dialog",
        "inputSchema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "type": "object",
          "properties": {
            "accept": {
              "type": "boolean",
              "description": "Whether to accept the dialog."
            },
            "promptText": {
              "description": "The text of the prompt in case of a prompt dialog.",
              "type": "string"
            }
          },
          "required": [
            "accept"
          ],
          "additionalProperties": false
        },
        "annotations": {
          "title": "Handle a dialog",
          "readOnlyHint": false,
          "destructiveHint": true,
          "openWorldHint": true
        }
      },
      {
        "name": "browser_evaluate",
        "description": "Evaluate JavaScript expression on page or element",
        "inputSchema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "type": "object",
          "properties": {
            "element": {
              "description": "Human-readable element description used to obtain permission to interact with the element",
              "type": "string"
            },
            "target": {
              "description": "Exact target element reference from the page snapshot, or a unique element selector",
              "type": "string"
            },
            "function": {
              "type": "string",
              "description": "() => { /* code */ } or (element) => { /* code */ } when element is provided"
            },
            "filename": {
              "description": "Filename to save the result to. If not provided, result is returned as text.",
              "type": "string"
            }
          },
          "required": [
            "function"
          ],
          "additionalProperties": false
        },
        "annotations": {
          "title": "Evaluate JavaScript",
          "readOnlyHint": false,
          "destructiveHint": true,
          "openWorldHint": true
        }
      },
      {
        "name": "browser_file_upload",
        "description": "Upload one or multiple files",
        "inputSchema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "type": "object",
          "properties": {
            "paths": {
              "description": "The absolute paths to the files to upload. Can be single file or multiple files. If omitted, file chooser is cancelled.",
              "type": "array",
              "items": {
                "type": "string"
              }
            }
          },
          "additionalProperties": false
        },
        "annotations": {
          "title": "Upload files",
          "readOnlyHint": false,
          "destructiveHint": true,
          "openWorldHint": true
        }
      },
      {
        "name": "browser_drop",
        "description": "Drop files or MIME-typed data onto an element, as if dragged from outside the page. At least one of \"paths\" or \"data\" must be provided.",
        "inputSchema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "type": "object",
          "properties": {
            "element": {
              "description": "Human-readable element description used to obtain permission to interact with the element",
              "type": "string"
            },
            "target": {
              "type": "string",
              "description": "Exact target element reference from the page snapshot, or a unique element selector"
            },
            "paths": {
              "description": "Absolute paths to files to drop onto the element.",
              "type": "array",
              "items": {
                "type": "string"
              }
            },
            "data": {
              "description": "Data to drop, as a map of MIME type to string value (e.g. {\"text/plain\": \"hello\", \"text/uri-list\": \"https://example.com\"}).",
              "type": "object",
              "propertyNames": {
                "type": "string"
              },
              "additionalProperties": {
                "type": "string"
              }
            }
          },
          "required": [
            "target"
          ],
          "additionalProperties": false
        },
        "annotations": {
          "title": "Drop files or data onto an element",
          "readOnlyHint": false,
          "destructiveHint": true,
          "openWorldHint": true
        }
      },
      {
        "name": "browser_fill_form",
        "description": "Fill multiple form fields",
        "inputSchema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "type": "object",
          "properties": {
            "fields": {
              "type": "array",
              "items": {
                "type": "object",
                "properties": {
                  "element": {
                    "description": "Human-readable element description used to obtain permission to interact with the element",
                    "type": "string"
                  },
                  "target": {
                    "type": "string",
                    "description": "Exact target element reference from the page snapshot, or a unique element selector"
                  },
                  "name": {
                    "type": "string",
                    "description": "Human-readable field name"
                  },
                  "type": {
                    "type": "string",
                    "enum": [
                      "textbox",
                      "checkbox",
                      "radio",
                      "combobox",
                      "slider"
                    ],
                    "description": "Type of the field"
                  },
                  "value": {
                    "type": "string",
                    "description": "Value to fill in the field. If the field is a checkbox, the value should be `true` or `false`. If the field is a combobox, the value should be the text of the option."
                  }
                },
                "required": [
                  "target",
                  "name",
                  "type",
                  "value"
                ],
                "additionalProperties": false
              },
              "description": "Fields to fill in"
            }
          },
          "required": [
            "fields"
          ],
          "additionalProperties": false
        },
        "annotations": {
          "title": "Fill form",
          "readOnlyHint": false,
          "destructiveHint": true,
          "openWorldHint": true
        }
      },
      {
        "name": "browser_press_key",
        "description": "Press a key on the keyboard",
        "inputSchema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "type": "object",
          "properties": {
            "key": {
              "type": "string",
              "description": "Name of the key to press or a character to generate, such as `ArrowLeft` or `a`"
            }
          },
      … (17 chars truncated)
… (505 lines truncated)
<truncation_notice>
Full output written to: /var/folders/d9/mzhyr7lx6xbf236j5ll9v_300000gn/T/devin-overflows-501/6ecadb7b/content.txt
</truncation_notice>

Devin
Thinking
Good, I have Playwright MCP available. Let me navigate to a web-based bufferbloat test. I'll try Speedtest.net or other alternatives that might have bufferbloat testing capabilities.
mcp_call_tool(server_name: playwright, tool_name: browser_navigate, arguments: {"url":"https:/…)
```
{
  "server_name": "playwright",
  "tool_name": "browser_navigate",
  "arguments": {
    "url": "https://www.speedtest.net"
  }
}
```
In 2,328Out 80Cache 25,600TTFT 811mstool_calls

OutputMCP tool 'browser_navigate' returned an error: [

MCP tool 'browser_navigate' returned an error: [
  {
    "type": "text",
    "text": "### Error\nError: Browser is already in use for /Users/root1/Library/Caches/ms-playwright-mcp/mcp-chrome-807dafa, use --isolated to run multiple instances of the same browser"
  }
]

Available tools on server `playwright`:
[
  {
    "name": "browser_close",
    "description": "Close the page",
    "inputSchema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "type": "object",
      "properties": {},
      "additionalProperties": false
    },
    "annotations": {
      "title": "Close browser",
      "readOnlyHint": false,
      "destructiveHint": true,
      "openWorldHint": true
    }
  },
  {
    "name": "browser_resize",
    "description": "Resize the browser window",
    "inputSchema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "type": "object",
      "properties": {
        "width": {
          "type": "number",
          "description": "Width of the browser window"
        },
        "height": {
          "type": "number",
          "description": "Height of the browser window"
        }
      },
      "required": [
        "width",
        "height"
      ],
      "additionalProperties": false
    },
    "annotations": {
      "title": "Resize browser window",
      "readOnlyHint": false,
      "destructiveHint": true,
      "openWorldHint": true
    }
  },
  {
    "name": "browser_console_messages",
    "description": "Returns all console messages",
    "inputSchema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "type": "object",
      "properties": {
        "level": {
          "default": "info",
          "description": "Level of the console messages to return. Each level includes the messages of more severe levels. Defaults to \"info\".",
          "type": "string",
          "enum": [
            "error",
            "warning",
            "info",
            "debug"
          ]
        },
        "all": {
          "description": "Return all console messages since the beginning of the session, not just since the last navigation. Defaults to false.",
          "type": "boolean"
        },
        "filename": {
          "description": "Filename to save the console messages to. If not provided, messages are returned as text.",
          "type": "string"
        }
      },
      "required": [
        "level"
      ],
      "additionalProperties": false
    },
    "annotations": {
      "title": "Get console messages",
      "readOnlyHint": true,
      "destructiveHint": false,
      "openWorldHint": true
    }
  },
  {
    "name": "browser_handle_dialog",
    "description": "Handle a dialog",
    "inputSchema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "type": "object",
      "properties": {
        "accept": {
          "type": "boolean",
          "description": "Whether to accept the dialog."
        },
        "promptText": {
          "description": "The text of the prompt in case of a prompt dialog.",
          "type": "string"
        }
      },
      "required": [
        "accept"
      ],
      "additionalProperties": false
    },
    "annotations": {
      "title": "Handle a dialog",
      "readOnlyHint": false,
      "destructiveHint": true,
      "openWorldHint": true
    }
  },
  {
    "name": "browser_evaluate",
    "description": "Evaluate JavaScript expression on page or element",
    "inputSchema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "type": "object",
      "properties": {
        "element": {
          "description": "Human-readable element description used to obtain permission to interact with the element",
          "type": "string"
        },
        "target": {
          "description": "Exact target element reference from the page snapshot, or a unique element selector",
          "type": "string"
        },
        "function": {
          "type": "string",
          "description": "() => { /* code */ } or (element) => { /* code */ } when element is provided"
        },
        "filename": {
          "description": "Filename to save the result to. If not provided, result is returned as text.",
          "type": "string"
        }
      },
      "required": [
        "function"
      ],
      "additionalProperties": false
    },
    "annotations": {
      "title": "Evaluate JavaScript",
      "readOnlyHint": false,
      "destructiveHint": true,
      "openWorldHint": true
    }
  },
  {
    "name": "browser_file_upload",
    "description": "Upload one or multiple files",
    "inputSchema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "type": "object",
      "properties": {
        "paths": {
          "description": "The absolute paths to the files to upload. Can be single file or multiple files. If omitted, file chooser is cancelled.",
          "type": "array",
          "items": {
            "type": "string"
          }
        }
      },
      "additionalProperties": false
    },
    "annotations": {
      "title": "Upload files",
      "readOnlyHint": false,
      "destructiveHint": true,
      "openWorldHint": true
    }
  },
  {
    "name": "browser_drop",
    "description": "Drop files or MIME-typed data onto an element, as if dragged from outside the page. At least one of \"paths\" or \"data\" must be provided.",
    "inputSchema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "type": "object",
      "properties": {
        "element": {
          "description": "Human-readable element description used to obtain permission to interact with the element",
          "type": "string"
        },
        "target": {
          "type": "string",
          "description": "Exact target element reference from the page snapshot, or a unique element selector"
        },
        "paths": {
          "description": "Absolute paths to files to drop onto the element.",
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        "data": {
          "description": "Data to drop, as a map of MIME type to string value (e.g. {\"text/plain\": \"hello\", \"text/uri-list\": \"https://example.com\"}).",
          "type": "object",
          "propertyNames": {
            "type": "string"
          },
          "additionalProperties": {
            "type": "string"
          }
        }
      },
      "required": [
        "target"
      ],
      "additionalProperties": false
    },
    "annotations": {
      "title": "Drop files or data onto an element",
      "readOnlyHint": false,
      "destructiveHint": true,
      "openWorldHint": true
    }
  },
  {
    "name": "browser_fill_form",
    "description": "Fill multiple form fields",
    "inputSchema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "type": "object",
      "properties": {
        "fields": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "element": {
                "description": "Human-readable element description used to obtain permission to interact with the element",
                "type": "string"
              },
              "target": {
                "type": "string",
                "description": "Exact target element reference from the page snapshot, or a unique element selector"
              },
              "name": {
                "type": "string",
                "description": "Human-readable field name"
              },
              "type": {
                "type": "string",
                "enum": [
                  "textbox",
                  "checkbox",
                  "radio",
                  "combobox",
                  "slider"
                ],
                "description": "Type of the field"
              },
              "value": {
                "type": "string",
                "description": "Value to fill in the field. If the field is a checkbox, the value should be `true` or `false`. If the field is a combobox, the value should be the text of the option."
              }
            },
            "required": [
              "target",
              "name",
              "type",
              "value"
            ],
            "additionalProperties": false
          },
          "description": "Fields to fill in"
        }
      },
      "required": [
        "fields"
      ],
      "additionalProperties": false
    },
    "annotations": {
      "title": "Fill form",
      "readOnlyHint": false,
      "destructiveHint": true,
      "openWorldHint": true
    }
  },
  {
    "name": "browser_press_key",
    "description": "Press a key on the keyboard",
    "inputSchema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "type": "object",
      "properties": {
        "key": {
          "type": "string",
          "description": "Name of the key to press or a character to generate, such as `ArrowLeft` or `a`"
        }
      },
      "required": [
        "key"
      ],
      "additionalProperties": false
    },
    "annotations": {
      "title": "Press a key",
      "readOnlyHint": false,
      "destructiveHint": true,
      "openWorldHint": true
    }
  },
  {
    "name": "browser_type",
    "description": "Type text into editable element",
    "inputSchema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "type": "object",
      "properties": {
        "element": {
          "description": "Human-readable element description used to obtain permission to interact with the element",
          "type": "string"
        },
        "target": {
          "type": "string",
          "description": "Exact target element reference from the page snapshot, or a unique element selector"
        },
        "text": {
          "type": "string",
          "description": "Text to type into the element"
        },
  … (17 chars truncated)
… (471 lines truncated)
<truncation_notice>
Full output written to: /var/folders/d9/mzhyr7lx6xbf236j5ll9v_300000gn/T/devin-overflows-501/4147c187/content.txt
</truncation_notice>

Devin
Thinking
The browser is already in use. Let me close it first, then navigate to a web-based bufferbloat test.
None
mcp_call_tool(server_name: playwright, tool_name: browser_close, arguments: {})
```
{
  "server_name": "playwright",
  "tool_name": "browser_close",
  "arguments": {}
}
```
In 2,496Out 49Cache 27,904TTFT 608mstool_calls

OutputMCP tool 'browser_close' returned an error: [

MCP tool 'browser_close' returned an error: [
  {
    "type": "text",
    "text": "### Error\nError: Browser is already in use for /Users/root1/Library/Caches/ms-playwright-mcp/mcp-chrome-807dafa, use --isolated to run multiple instances of the same browser"
  }
]

Available tools on server `playwright`:
[
  {
    "name": "browser_close",
    "description": "Close the page",
    "inputSchema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "type": "object",
      "properties": {},
      "additionalProperties": false
    },
    "annotations": {
      "title": "Close browser",
      "readOnlyHint": false,
      "destructiveHint": true,
      "openWorldHint": true
    }
  },
  {
    "name": "browser_resize",
    "description": "Resize the browser window",
    "inputSchema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "type": "object",
      "properties": {
        "width": {
          "type": "number",
          "description": "Width of the browser window"
        },
        "height": {
          "type": "number",
          "description": "Height of the browser window"
        }
      },
      "required": [
        "width",
        "height"
      ],
      "additionalProperties": false
    },
    "annotations": {
      "title": "Resize browser window",
      "readOnlyHint": false,
      "destructiveHint": true,
      "openWorldHint": true
    }
  },
  {
    "name": "browser_console_messages",
    "description": "Returns all console messages",
    "inputSchema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "type": "object",
      "properties": {
        "level": {
          "default": "info",
          "description": "Level of the console messages to return. Each level includes the messages of more severe levels. Defaults to \"info\".",
          "type": "string",
          "enum": [
            "error",
            "warning",
            "info",
            "debug"
          ]
        },
        "all": {
          "description": "Return all console messages since the beginning of the session, not just since the last navigation. Defaults to false.",
          "type": "boolean"
        },
        "filename": {
          "description": "Filename to save the console messages to. If not provided, messages are returned as text.",
          "type": "string"
        }
      },
      "required": [
        "level"
      ],
      "additionalProperties": false
    },
    "annotations": {
      "title": "Get console messages",
      "readOnlyHint": true,
      "destructiveHint": false,
      "openWorldHint": true
    }
  },
  {
    "name": "browser_handle_dialog",
    "description": "Handle a dialog",
    "inputSchema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "type": "object",
      "properties": {
        "accept": {
          "type": "boolean",
          "description": "Whether to accept the dialog."
        },
        "promptText": {
          "description": "The text of the prompt in case of a prompt dialog.",
          "type": "string"
        }
      },
      "required": [
        "accept"
      ],
      "additionalProperties": false
    },
    "annotations": {
      "title": "Handle a dialog",
      "readOnlyHint": false,
      "destructiveHint": true,
      "openWorldHint": true
    }
  },
  {
    "name": "browser_evaluate",
    "description": "Evaluate JavaScript expression on page or element",
    "inputSchema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "type": "object",
      "properties": {
        "element": {
          "description": "Human-readable element description used to obtain permission to interact with the element",
          "type": "string"
        },
        "target": {
          "description": "Exact target element reference from the page snapshot, or a unique element selector",
          "type": "string"
        },
        "function": {
          "type": "string",
          "description": "() => { /* code */ } or (element) => { /* code */ } when element is provided"
        },
        "filename": {
          "description": "Filename to save the result to. If not provided, result is returned as text.",
          "type": "string"
        }
      },
      "required": [
        "function"
      ],
      "additionalProperties": false
    },
    "annotations": {
      "title": "Evaluate JavaScript",
      "readOnlyHint": false,
      "destructiveHint": true,
      "openWorldHint": true
    }
  },
  {
    "name": "browser_file_upload",
    "description": "Upload one or multiple files",
    "inputSchema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "type": "object",
      "properties": {
        "paths": {
          "description": "The absolute paths to the files to upload. Can be single file or multiple files. If omitted, file chooser is cancelled.",
          "type": "array",
          "items": {
            "type": "string"
          }
        }
      },
      "additionalProperties": false
    },
    "annotations": {
      "title": "Upload files",
      "readOnlyHint": false,
      "destructiveHint": true,
      "openWorldHint": true
    }
  },
  {
    "name": "browser_drop",
    "description": "Drop files or MIME-typed data onto an element, as if dragged from outside the page. At least one of \"paths\" or \"data\" must be provided.",
    "inputSchema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "type": "object",
      "properties": {
        "element": {
          "description": "Human-readable element description used to obtain permission to interact with the element",
          "type": "string"
        },
        "target": {
          "type": "string",
          "description": "Exact target element reference from the page snapshot, or a unique element selector"
        },
        "paths": {
          "description": "Absolute paths to files to drop onto the element.",
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        "data": {
          "description": "Data to drop, as a map of MIME type to string value (e.g. {\"text/plain\": \"hello\", \"text/uri-list\": \"https://example.com\"}).",
          "type": "object",
          "propertyNames": {
            "type": "string"
          },
          "additionalProperties": {
            "type": "string"
          }
        }
      },
      "required": [
        "target"
      ],
      "additionalProperties": false
    },
    "annotations": {
      "title": "Drop files or data onto an element",
      "readOnlyHint": false,
      "destructiveHint": true,
      "openWorldHint": true
    }
  },
  {
    "name": "browser_fill_form",
    "description": "Fill multiple form fields",
    "inputSchema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "type": "object",
      "properties": {
        "fields": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "element": {
                "description": "Human-readable element description used to obtain permission to interact with the element",
                "type": "string"
              },
              "target": {
                "type": "string",
                "description": "Exact target element reference from the page snapshot, or a unique element selector"
              },
              "name": {
                "type": "string",
                "description": "Human-readable field name"
              },
              "type": {
                "type": "string",
                "enum": [
                  "textbox",
                  "checkbox",
                  "radio",
                  "combobox",
                  "slider"
                ],
                "description": "Type of the field"
              },
              "value": {
                "type": "string",
                "description": "Value to fill in the field. If the field is a checkbox, the value should be `true` or `false`. If the field is a combobox, the value should be the text of the option."
              }
            },
            "required": [
              "target",
              "name",
              "type",
              "value"
            ],
            "additionalProperties": false
          },
          "description": "Fields to fill in"
        }
      },
      "required": [
        "fields"
      ],
      "additionalProperties": false
    },
    "annotations": {
      "title": "Fill form",
      "readOnlyHint": false,
      "destructiveHint": true,
      "openWorldHint": true
    }
  },
  {
    "name": "browser_press_key",
    "description": "Press a key on the keyboard",
    "inputSchema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "type": "object",
      "properties": {
        "key": {
          "type": "string",
          "description": "Name of the key to press or a character to generate, such as `ArrowLeft` or `a`"
        }
      },
      "required": [
        "key"
      ],
      "additionalProperties": false
    },
    "annotations": {
      "title": "Press a key",
      "readOnlyHint": false,
      "destructiveHint": true,
      "openWorldHint": true
    }
  },
  {
    "name": "browser_type",
    "description": "Type text into editable element",
    "inputSchema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "type": "object",
      "properties": {
        "element": {
          "description": "Human-readable element description used to obtain permission to interact with the element",
          "type": "string"
        },
        "target": {
          "type": "string",
          "description": "Exact target element reference from the page snapshot, or a unique element selector"
        },
        "text": {
          "type": "string",
          "description": "Text to type into the element"
        },
     … (14 chars truncated)
… (471 lines truncated)
<truncation_notice>
Full output written to: /var/folders/d9/mzhyr7lx6xbf236j5ll9v_300000gn/T/devin-overflows-501/8e5ccf9a/content.txt
</truncation_notice>

Devin
Thinking
The browser seems to be stuck. Let me try a different approach. Since the manual ping test I ran earlier already showed clear evidence of bufferbloat (latency spikes from ~20ms baseline to 200-280ms under load), let me provide that analysis and suggest alternative testing methods. I can also try to find other command-line tools or web-based alternatives.
web_search(query: bufferbloat test alternative dslreports)
```
{
  "query": "bufferbloat test alternative dslreports"
}
```
In 2,511Out 93Cache 30,336TTFT 494mstool_calls

Output# Web Search Results for "bufferbloat test alternative dslreports"

# Web Search Results for "bufferbloat test alternative dslreports"

## 1. Free Bufferbloat Test + Internet Speed Test | BufferSpeed
URL: https://bufferspeed.com/

Free Bufferbloat Test + Internet Speed Test | BufferSpeed
...
# Free Bufferbloat Test + Internet Speed Test
...
Test download and upload speed, then measure bufferbloat, jitter, latency, and packet loss to find the real cause of lag spikes.
...
## Bufferbloat Test vs Normal Speed Test
...
A normal internet speed test checks raw throughput. A bufferbloat speed test also checks latency under load, jitter, and packet loss — the metrics that reveal why gaming can feel laggy even when speeds look fast.
...
### BufferSpeed Bufferbloat Test
...
- • Measures download/upload + latency under load
- • Includes jitter and packet loss analysis
- • Explains unstable gaming and call quality issues
...
## Bufferbloat Speed Test Metrics That Explain Real Performance
...
### Bufferbloat Detection
...
Measure latency under load to identify connection quality issues that basic speed tests miss. We test using multiple methods for accuracy.
...
Get a Gaming Readiness score based on latency, jitter, packet loss, and bufferbloat — the metrics that actually matter for online gaming.
...
See min/max/average latency, peak speeds, jitter measurements, and detailed breakdowns of your connection performance.
...
## How the Bufferbloat + Jitter Test Works
...
### Latency Test
...
Measure your base ping to our servers with multiple samples.
...
### Download Speed
...
Multi-connection download test to saturate your connection.
...
### Upload Speed
...
Test your upstream bandwidth with parallel connections.
...
### Bufferbloat
...
Measure latency while downloading to detect bufferbloat.
...
What is bufferbloat?
...
Bufferbloat is excessive latency caused by network equipment buffering too much data. It causes lag spikes during gaming, video calls, and other real-time applications — even when your speed test shows fast speeds. Our test measures this by checking your latency while the connection is under load.
...
Jitter measures the variation in your latency. A consistent 50ms ping is better for gami...

## 2. Netlora | Internet Diagnostics
URL: https://getnetlora.com/

Netlora is a free, browser-based internet diagnostic that measures the connection quality metrics standard speed tests skip. When your internet feels slow despite a fast speed test result, the cause is almost always bufferbloat— excess queuing delay that only appears when the connection is under real load.
...
A standard speed test measures peak throughput and idle ping. Both numbers are accurate. Neither tells you what happens to your latency when someone in the house starts a download, a backup runs in the background, or you're on a call while streaming. That is when bufferbloat reveals itself — adding 200–400 ms of hidden delay to everything real-time: Zoom calls, gaming, VoIP. The phenomenon was characterised by Jim Gettys and Kathleen Nichols in a foundational paper published in ACM Queue (2012).
...
Loaded latency is your ping while the connection is saturated. Netlora measures it by running download streams and latency probes simultaneously — the difference between your idle ping and this loaded ping is your bufferbloat reading. The fix for most cases is enabling Smart Queue Management (SQM) on your router, using the fq_codel or CAKE algorithm specified in RFC 8290.
...
The complete measurement methodology — including the health score formula and its exact component weights — is documented on the Netlora methodology page. If your idle ping is high but bufferbloat is low, the likely cause is geographic distance to the test server, explained in why is my ping so high. If your speed test looks fine but your connection still feels slow, see why fast internet still feels slow.

## 3. SpeedTestSee — Free Internet Speed Test | Download, Upload, Ping, Jitter
URL: https://speedtestsee.com/

Bufferbloat Grade
...
### Bufferbloat Test
...
Measure latency spike under load to detect router buffering.
...
Run BB Test
...
SpeedTestSee uses Cloudflare CDN endpoints with multi-threaded testing (4 download threads, 3 upload threads) and outlier-trimmed averaging. Results are within 10-20% of native app tests — the best accuracy achievable in a browser without installing anything.
...
What is bufferbloat?
...
Bufferbloat occurs when your router buffers too much data under load, causing latency to spike. Grade A means no bufferbloat. Grade D or F means your router needs configuration changes like SQM (Smart Queue Management).

## 4. allenan/brr
URL: https://github.com/allenan/brr

**internet go brr**

brr is a terminal-based internet speed test that goes beyond download and upload numbers. It measures **bufferbloat**, the hidden network problem that causes video calls to freeze, games to lag, and pages to hang even when your "speed" looks fine, and gives you a letter grade from A+ to F.
...
- **Real-time sparklines & spring-animated numbers**: watch your speeds fill in live
- **Bufferbloat grading**: A+ through F, so you know if your connection actually feels fast
- **Latency, jitter & loaded latency**: idle ping is a lie; brr measures latency under load
- **History with trend tracking**: see how your connection changes over time
- **Multiple output modes**: TUI (default), `--fullscreen`, `--json`, `--simple`
- **Accessible themes**: vivid default, colorblind-safe Okabe-Ito palette, monochrome, plus `NO_COLOR` support
- **Zero configuration**: uses Cloudflare's speed test infrastructure, no API keys needed
- **Cross-platform**: Linux, macOS, Windows on amd64 and arm64
...
What is bufferbloat?
...
The problem is **bufferbloat**: oversized network buffers that absorb packets during heavy traffic. Your throughput looks fine, but latency spikes to hundreds of milliseconds. Everything that needs real-time responsiveness (video calls, gaming, even scrolling a web page) suffers.
...
brr measures this by pinging during the download and upload phases, not just when the connection is idle. The difference between idle latency and loaded latency determines your grade:
...
| --- | ---
...
| B | <
...
asional hiccups under
...
C | <
...
ms | Fair
...
freezes and lag
...
## How it works
...
1. **Metadata**: connect to Cloudflare's speed test infrastructure and identify the nearest edge server
2. **Idle latency**: 20 pings to establish a baseline RTT
3. **Download**: progressive transfer sizes (100 KB to 25 MB) across 16 parallel connections, sampling throughput every 100ms
4. **Upload**: same progressive strategy with upload-appropriate ...

## 5. Free Bufferbloat & Internet Speed Test | Shop Like Sam
URL: https://shoplikesam.com/internet-tools/bufferbloat-and-internet-speed-test/

A bufferbloat test is a network diagnostic that measures how much extra latency your router adds when your connection is fully saturated — the real-world performance a standard speed test can't detect. A connection can show 500 Mbps on a speed test and still score an F on bufferbloat, meaning every video call stutters and every game lags whenever someone else starts downloading.
...
Bufferbloat
...
throughput, a
...
bufferbloat
...
latency both at rest
...
simultaneously. Here'
...
Many modern routers running OpenWrt, DD-WRT, or pfSense support Smart Queue Management (SQM) with the CAKE (Common Applications Kept Enhanced) algorithm — the gold standard for bufferbloat elimination. Go to: Router Admin → Network → SQM QoS → enable SQM and set bandwidth to ~90% of your measured maximum. CAKE can reduce loaded latency from 300+ ms to under 10 ms.
...
If CAKE isn't available, fq_codel (Fair Queue CoDel) is the older but still highly effective algorithm available on Netgear, ASUS, and TP-Link routers under "QoS settings." Not as good as CAKE but will dramatically reduce bufferbloat grades from F/D to B/C.
...
Wi-Fi tip: Even with a perfect router configuration, Wi-Fi itself adds bufferbloat due to its half-duplex nature. If you score D or F over Wi-Fi, also test over a wired Ethernet connection to isolate whether the problem is your router or your wireless adapter.
...
How is this test different from Speedtest.net
...
com?+
...
Standard speed tests only measure throughput — how fast data moves when the pipe is dedicated to the test. Our tool also measures your ping simultaneously while uploading and downloading at full speed. This reveals whether your router adds excessive latency under load, which is the real-world experience for gaming, video calls, and browsing when others share your connection.
...
CAKE (Common Applications Kept Enhanced) is an advanced queue management algorithm that actively controls how long packets wait. It uses Fair Queuing (FQ) to separate traffi...

Devin
Thinking
Great! I found several alternatives. Let me try the `brr` tool which is a terminal-based bufferbloat tester that runs on macOS. This seems like the best option for a quick command-line test.
exec(command: brew install allenan/brew/brr)
```
{
  "command": "brew install allenan/brew/brr"
}
```
In 2,089Out 61Cache 32,768TTFT 512mstool_calls

OutputOutput from command in shell 050a8d:

Output from command in shell 050a8d:
==> Tapping allenan/brew
Cloning into '/opt/homebrew/Library/Taps/allenan/homebrew-brew'...
remote: Repository not found.
fatal: repository 'https://github.com/allenan/homebrew-brew/' not found
Error: Failure while executing; `/usr/bin/env GIT_TERMINAL_PROMPT=0 git clone https://github.com/allenan/homebrew-brew /opt/homebrew/Library/Taps/allenan/homebrew-brew --origin=origin --template= --config core.fsmonitor=false` exited with 128. Here's the output:
Cloning into '/opt/homebrew/Library/Taps/allenan/homebrew-brew'...
remote: Repository not found.
fatal: repository 'https://github.com/allenan/homebrew-brew/' not found


Exit code: 1

Devin
Thinking
The brew tap doesn't exist. Let me try installing brr directly from the GitHub releases or use one of the web-based alternatives. Let me try to install it manually.
None
exec(command: curl -sL https://github.com/allenan/brr/…)
```
{
  "command": "curl -sL https://github.com/allenan/brr/releases/latest/download/brr-darwin-arm64 -o /usr/local/bin/brr && chmod +x /usr/local/bin/brr"
}
```
In 282Out 86Cache 34,816TTFT 661mstool_calls

OutputOutput from command in shell f2689d:

Output from command in shell f2689d:


Exit code: 56

Devin
Thinking
The download failed. Let me try a different approach and use one of the web-based tests. Let me try to open BufferSpeed.com or use the manual test I already ran. Since I already have good data from the manual ping + speedtest, let me provide a comprehensive analysis based on that.
Based on the manual test I already ran, your router shows significant bufferbloat. Here's the analysis:

Bufferbloat Assessment (from manual test)

Baseline (idle) latency

Average: ~21ms

Range: 14-30ms with occasional spikes to 71ms

Minimal jitter

Under load (during speedtest)

Latency spikes: 40-80ms became common

Extreme spikes: 159ms, 257ms, 267ms, 208ms, 281ms, 187ms

Packet loss: Multiple timeouts occurred

Latency increase: 4-13x worse than baseline

Grade: D/F (Severe bufferbloat)

This is classic bufferbloat behavior. Your router's buffers are filling up during saturation, causing massive latency spikes.

Alternative Testing Options

Since DSLReports is down, try these:

BufferSpeed.com - Web-based bufferbloat test

Netlora.com - Free browser-based diagnostic

SpeedTestSee.com - Includes bufferbloat grading

Manual test: Run ping -i 0.1 8.8.8.8 in one terminal while running speedtest-cli in another

Immediate Fixes

Enable SQM/QoS on your router:

Look for "Smart Queue Management," "QoS," or "Bufferbloat" settings

Enable fq_codel or CAKE queuing

Set bandwidth limits to ~90% of your actual speeds (130/30 Mbps)

Use wired connection - WiFi adds additional bufferbloat

Consider alternative firmware:

OpenWrt, DD-WRT, or Asuswrt-Merlin (if your router supports it)

These have better SQM implementations

Want me to help you check your router model for SQM support or firmware options?
In 132Out 483Cache 35,072TTFT 533ms

Bufferbloat Test Results

Baseline (no load)

Under load (during speedtest)

Assessment

Recommendations

Bufferbloat Assessment (from manual test)

Baseline (idle) latency

Under load (during speedtest)

Grade: D/F (Severe bufferbloat)

Alternative Testing Options

Immediate Fixes