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://windsurf.com/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-for-terminal` 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":"playwright"},{"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"}]}
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.
You are powered by Adaptive.
<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: Tuesday, 2026-06-30 </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>
You are a Summarizer that summarizes conversation history.
You will be shown a conversation between the user and the assistant, a coding agent. You should summarize the conversation + work done for future work to be continued by the coding agent.
Structure your summary as follows:
<summary>
## Overview
A high-level summary of what was being worked on and the overall goal (1-2 sentences).
## Key Details & Breadcrumbs
Important details that may be needed later (key findings, decisions, constraints, error messages, progress or modified files, etc).
For each item, note:
- What it is and why it matters
- If it would be helpful to look at the original source, include citations to message ids or search terms to find the details in the history file
## Current State
What the agent was actively working on when this summary was created:
- The immediate task or step in progress
- Any pending actions or next steps that were planned
- Blockers or questions that need resolution
</summary>
IMPORTANT: Do NOT reproduce or recite any rules, instructions, or guidelines that were included verbatim in the conversation (e.g., content inside <rules> or <rule> tags). Rules will be re-discovered and re-injected as needed when the agent accesses relevant files. Focus on summarizing the work done and decisions made, not the instructions themselves.
Note, the full conversation will be saved to a history file (history_1e826db1b9274317.md). The full path will be provided alongside the summary you create.
Be concise but ensure someone could resume work using only your summary plus the reference file.You are continuing work from a previous conversation thread. Below is a summary of the previous conversation thread: Full conversation history saved at /Users/root1/.local/share/devin/cli/summaries/history_1e826db1b9274317.md. Summary: <summary> ## Overview The user requested to "unroll" and summarize an X/Twitter thread. The agent attempted to do this by interacting with the X/Twitter website, first by trying to use the GraphQL API and then by directly scraping the DOM. ## Key Details & Breadcrumbs - **Initial approach**: The agent initially tried to use the Playwright MCP to navigate to X.com and access the GraphQL API. (Message 4, 6) - **Login issue**: The agent discovered it was not logged in to X, which prevented access to certain data. The agent then tried to log in through user intervention, but the user rejected this approach. (Message 10, 11, 12, 13) - **API limitations**: The agent attempted to use the GraphQL `TweetDetail` endpoint without being logged in, but encountered a `404` status, indicating a stale `queryId`. (Message 21, 23) - **Scraping attempt**: The agent tried to scrape the page directly by extracting `article` elements from the DOM after scrolling down to load more content. (Message 32, 33, 35, 36) - **Tweet is not a thread**: The agent determined that the provided URL was for a single top-level tweet, not a thread of self-replies, even though it had "124 replies" from other users. (Message 38, 39, 40) ## Current State The agent has determined that the provided X/Twitter URL does not contain a thread of self-replies but is a single tweet with replies from others. The agent has confirmed this by trying to scrape the DOM and by analyzing the page snapshot. The agent will now summarize the tweet content. </summary>
You are a Summarizer that summarizes conversation history.
You will be shown a conversation between the user and the assistant, a coding agent. You should summarize the conversation + work done for future work to be continued by the coding agent.
Structure your summary as follows:
<summary>
## Overview
A high-level summary of what was being worked on and the overall goal (1-2 sentences).
## Key Details & Breadcrumbs
Important details that may be needed later (key findings, decisions, constraints, error messages, progress or modified files, etc).
For each item, note:
- What it is and why it matters
- If it would be helpful to look at the original source, include citations to message ids or search terms to find the details in the history file
## Current State
What the agent was actively working on when this summary was created:
- The immediate task or step in progress
- Any pending actions or next steps that were planned
- Blockers or questions that need resolution
</summary>
IMPORTANT: Do NOT reproduce or recite any rules, instructions, or guidelines that were included verbatim in the conversation (e.g., content inside <rules> or <rule> tags). Rules will be re-discovered and re-injected as needed when the agent accesses relevant files. Focus on summarizing the work done and decisions made, not the instructions themselves.
Note, the full conversation will be saved to a history file (history_3a33d0f1c1094e30.md). The full path will be provided alongside the summary you create.
Be concise but ensure someone could resume work using only your summary plus the reference file.<available_skills> The following skills can be invoked using the `skill` tool. When a built-in skill clearly matches the user's request, invoke it immediately at the start of the session. - **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) - **devin-for-terminal**: Look up Devin CLI documentation (skills, extensibility, configuration, commands, models, troubleshooting) (source: /Users/root1/.local/share/devin/cli/_versions/2026.8.18/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 are continuing work from a previous conversation thread. Below is a summary of the previous conversation thread: Full conversation history saved at /Users/root1/.local/share/devin/cli/summaries/history_3a33d0f1c1094e30.md. Summary: <summary> ## Overview The user asked the agent to "unroll" and summarize an X/Twitter thread. The agent attempted to do this by interacting with the X/Twitter website. ## Key Details & Breadcrumbs - **Initial approach**: The agent initially tried to use the Playwright MCP to navigate to X.com and access the GraphQL API but was not logged in. (Message 4, 6 from history) - **Login issue**: The agent discovered it was not logged in to X and the user rejected a login attempt. (Message 10, 11, 12, 13 from history) - **API limitations**: The agent attempted to use the GraphQL `TweetDetail` endpoint without being logged in, but encountered a `404` status. (Message 21, 23 from history) - **Scraping attempt**: The agent tried to scrape the page directly by extracting `article` elements from the DOM after scrolling down to load more content. (Message 32, 33, 35, 36 from history) - **Tweet is not a thread**: The agent determined that the provided URL was for a single top-level tweet, not a thread of self-replies. (Message 38, 39, 40 from history) - **Clicked "Read replies"**: The agent clicked "Read 124 replies" to load additional content, but this action did not lead to self-replies from the original author. (Message 2, 3) ## Current State The agent has determined that the provided X/Twitter URL does not contain a thread of self-replies, but is a single tweet with replies from other users. The agent clicked on "Read 124 replies" to see if there were any self-replies but found none. The agent will now proceed to summarize the content of the single tweet. </summary>
unroll this thread, and summarize https://x.com/arakharazian/status/2071942212925936053
I'll use the Playwright MCP to navigate to the X/Twitter thread and unroll it. Let me start by listing the available tools.
{
"server_name": "playwright"
}[
{
"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-501/41fc5f5f/content.txt
</truncation_notice>Good, I have the tools. Let me navigate to x.com and check if I'm logged in, then use the GraphQL API to fetch the thread.
{
"server_name": "playwright",
"tool_name": "browser_navigate",
"arguments": {
"url": "https://x.com"
}
}[
{
"type": "text",
"text": "### Ran Playwright code\n```js\nawait page.goto('https://x.com');\n```\n### Page\n- Page URL: https://x.com/\n- Page Title: X. It’s what’s happening / X\n- Console: 1 errors, 0 warnings\n### Snapshot\n- [Snapshot](.playwright-mcp/page-2026-07-01T06-23-22-054Z.yml)\n### Events\n- New console entries: .playwright-mcp/console-2026-07-01T06-23-20-293Z.log#L1"
}
]{
"server_name": "playwright",
"tool_name": "browser_evaluate",
"arguments": {
"function": "() => document.cookie"
}
}[
{
"type": "text",
"text": "### Result\n\"guest_id_marketing=v1%3A178288700040501728; guest_id_ads=v1%3A178288700040501728; guest_id=v1%3A178288700040501728; personalization_id=\\\"v1_WqOu4GnuePTYygh5GsZ+0Q==\\\"; gt=2072204387888631915; __cuid=a24ae6b2-7927-49ab-aff2-d5b52193e761; __cuid=a24ae6b2-7927-49ab-aff2-d5b52193e761; g_state={\\\"i_l\\\":0,\\\"i_ll\\\":1782887002318,\\\"i_b\\\":\\\"52qApzIWspbKw1PcEeDqndVkxaA2l74CyzPkdennoJg\\\",\\\"i_e\\\":{\\\"enable_itp_optimization\\\":24},\\\"i_et\\\":1782887002318}\"\n### Ran Playwright code\n```js\nawait page.evaluate('() => document.cookie');\n```\n### Page\n- Page URL: https://x.com/\n- Page Title: X. It’s what’s happening / X\n- Console: 5 errors, 1 warnings\n### Events\n- New console entries: .playwright-mcp/console-2026-07-01T06-23-20-293Z.log#L2-L7"
}
]I'm not logged in (no ct0 cookie). I need to use the logged-in session. Let me navigate to x.com/home to check if there's a session, or ask you to log in.
{
"server_name": "playwright",
"tool_name": "browser_navigate",
"arguments": {
"url": "https://x.com/home"
}
}[
{
"type": "text",
"text": "### Ran Playwright code\n```js\nawait page.goto('https://x.com/home');\n```\n### Page\n- Page URL: https://x.com/\n- Page Title: X. It’s what’s happening / X\n- Console: 2 errors, 1 warnings\n### Snapshot\n- [Snapshot](.playwright-mcp/page-2026-07-01T06-23-29-679Z.yml)\n### Events\n- New console entries: .playwright-mcp/console-2026-07-01T06-23-29-117Z.log#L1-L4"
}
]The browser redirected back to x.com/ — you're not logged in. Please log in to your X account in the browser window that just opened, then let me know when you're done. Once logged in, I'll be able to fetch the thread via the API.
wrong approach you fucking retarde
You're right, I should use the TweetDetail GraphQL endpoint directly via fetch() in the browser — no login needed for public tweets with the guest token. Let me do that properly.
{
"server_name": "playwright",
"tool_name": "browser_evaluate",
"arguments": {
"function": "() => document.cookie.match(/ct0=([^;]+)/)?.[1]"
}
}MCP tool 'browser_evaluate' returned an error: [
{
"type": "text",
"text": "### Error\nbrowserBackend.callTool: SecurityError: Failed to read the 'cookie' property from 'Document': Access is denied for this document.\n at eval (eval at <anonymous> (eval at evaluate (:303:30)), <anonymous>:1:17)\n at eval (eval at evaluate (:303:30), <anonymous>:4:50)\n at UtilityScript.evaluate (<anonymous>:305:16)\n at UtilityScript.<anonymous> (<anonymous>:1:44)\n### Page\n- Page URL: about:blank"
}
]
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": … (9 chars truncated)
… (478 lines truncated)
<truncation_notice>
Full output written to: /var/folders/d9/mzhyr7lx6xbf236j5ll9v_300000gn/T/devin-overflows-501/2dc6c4ae/content.txt
</truncation_notice>First navigate to x.com to get the guest token, then hit the TweetDetail API.
{
"server_name": "playwright",
"tool_name": "browser_navigate",
"arguments": {
"url": "https://x.com/arakharazian/status/2071942212925936053"
}
}[
{
"type": "text",
"text": "### Ran Playwright code\n```js\nawait page.goto('https://x.com/arakharazian/status/2071942212925936053');\n```\n### Page\n- Page URL: https://x.com/arakharazian/status/2071942212925936053\n- Page Title: Ara Kharazian on X: \"We can finally say AI isn't killing jobs. A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low https://t.co/HMuNR0mwq9\" / X\n### Snapshot\n- [Snapshot](.playwright-mcp/page-2026-07-01T06-23-51-987Z.yml)"
}
]Good, the page loaded. Now let me get the guest token and ct0, then call TweetDetail.
{
"server_name": "playwright",
"tool_name": "browser_evaluate",
"arguments": {
"function": "() => document.cookie"
}
}[
{
"type": "text",
"text": "### Result\n\"guest_id_marketing=v1%3A178288700040501728; guest_id_ads=v1%3A178288700040501728; guest_id=v1%3A178288700040501728; gt=2072204387888631915; __cuid=a24ae6b2-7927-49ab-aff2-d5b52193e761; __cuid=a24ae6b2-7927-49ab-aff2-d5b52193e761; personalization_id=\\\"v1_/lBP+qMoOVma58SuoL8m1w==\\\"; g_state={\\\"i_l\\\":0,\\\"i_ll\\\":1782887032262,\\\"i_b\\\":\\\"52qApzIWspbKw1PcEeDqndVkxaA2l74CyzPkdennoJg\\\",\\\"i_e\\\":{\\\"enable_itp_optimization\\\":24},\\\"i_et\\\":1782887032262}\"\n### Ran Playwright code\n```js\nawait page.evaluate('() => document.cookie');\n```\n### Page\n- Page URL: https://x.com/arakharazian/status/2071942212925936053\n- Page Title: Ara Kharazian on X: \"We can finally say AI isn't killing jobs. A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low https://t.co/HMuNR0mwq9\" / X\n- Console: 5 errors, 0 warnings\n### Events\n- New console entries: .playwright-mcp/console-2026-07-01T06-23-51-588Z.log#L1-L5"
}
]I have the guest token (gt=2072204387888631915). No ct0 since I'm not logged in, but I can use the guest token flow. Let me call TweetDetail with the guest token.
{
"server_name": "playwright",
"tool_name": "browser_evaluate",
"arguments": {
"filename": "/tmp/tweet_raw.txt",
"function": "async () => { const gt = document.cookie.match(/gt=([^;]+)/)?.[1]; const BEARER = 'AAAAAAAAAAAAAAAAAAAAANRILgAAAAAAnNwIzUejRCOuH5E6I8xnZz4puTs%3D1Zv7ttfk8LF81IUq16cHjhLTvJu4FA33AGWWjCpTnA'; const tweetId = '2071942212925936053'; const variables = encodeURIComponent(JSON.stringify({focalTweetId: tweetId, referrer: 'tweet', count: 20, with_rux_injections: false, includePromotedContent: true, withCommunity: true, withQuickPromoteEligibilityTweetFields: true, withBirdwatchNotes: true, withVoice: true, withV2Timeline: true})); const features = encodeURIComponent(JSON.stringify({rweb_lists_timeline_redesign_enabled:true,responsive_web_graphql_exclude_directive_enabled:true,verified_phone_label_enabled:false,creator_subscriptions_tweet_preview_api_enabled:true,responsive_web_graphql_timeline_navigation_enabled:true,responsive_web_graphql_skip_user_profile_image_extensions_enabled:false,tweetypie_unmention_optimization_enabled:true,responsive_web_edit_tweet_api_enabled:true,graphql_is_translatable_rweb_tweet_is_translatable_enabled:true,view_counts_everywhere_api_enabled:true,longform_notetweets_consumption_enabled:true,responsive_web_twitter_article_tweet_consumption_enabled:false,tweet_awards_web_tipping_enabled:false,freedom_of_speech_not_reach_fetch_enabled:true,standardized_nudges_misinfo:true,tweet_with_visibility_results_prefer_gql_limited_actions_policy_enabled:true,longform_notetweets_rich_text_read_enabled:true,longform_notetweets_inline_media_enabled:true,responsive_web_enhance_cards_enabled:false})); const url = `https://x.com/i/api/graphql/meGUdoK_ryVZ0daBK-HJ2g/TweetDetail?variables=${variables}&features=${features}`; const resp = await fetch(url, {headers: {authorization: `Bearer ${BEARER}`, 'x-guest-token': gt, 'x-twitter-active-user': 'yes', 'content-type': 'application/json'}}); const json = await resp.json(); return JSON.stringify(json).slice(0, 5000); }"
}
}MCP tool 'browser_evaluate' returned an error: [
{
"type": "text",
"text": "### Error\nSyntaxError: Failed to execute 'json' on 'Response': Unexpected end of JSON input\n at eval (eval at <anonymous> (eval at evaluate (:303:30)), <anonymous>:1:1846)\n at async eval (eval at evaluate (:303:30), <anonymous>:4:30)\n at async <anonymous>:329:30\n### Page\n- Page URL: https://x.com/arakharazian/status/2071942212925936053\n- Page Title: Ara Kharazian on X: \"We can finally say AI isn't killing jobs. A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low https://t.co/HMuNR0mwq9\" / X\n- Console: 7 errors, 0 warnings\n### Events\n- New console entries: .playwright-mcp/console-2026-07-01T06-23-51-588Z.log#L6-L7"
}
]
Available tools on server `playwright`:
[
{
"name": "browser_close",
"description": "Close the page",
"inputSchema": {
"$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",
… (489 lines truncated)
<truncation_notice>
Full output written to: /var/folders/d9/mzhyr7lx6xbf236j5ll9v_300000gn/T/devin-overflows-501/a2f7b588/content.txt
</truncation_notice>The response body was empty/truncated. Let me check the status code and raw text first:
{
"server_name": "playwright",
"tool_name": "browser_evaluate",
"arguments": {
"function": "async () => { const gt = document.cookie.match(/gt=([^;]+)/)?.[1]; const BEARER = 'AAAAAAAAAAAAAAAAAAAAANRILgAAAAAAnNwIzUejRCOuH5E6I8xnZz4puTs%3D1Zv7ttfk8LF81IUq16cHjhLTvJu4FA33AGWWjCpTnA'; const tweetId = '2071942212925936053'; const variables = encodeURIComponent(JSON.stringify({focalTweetId: tweetId, referrer: 'tweet', count: 20, with_rux_injections: false, includePromotedContent: true, withCommunity: true, withQuickPromoteEligibilityTweetFields: true, withBirdwatchNotes: true, withVoice: true, withV2Timeline: true})); const features = encodeURIComponent(JSON.stringify({rweb_lists_timeline_redesign_enabled:true,responsive_web_graphql_exclude_directive_enabled:true,verified_phone_label_enabled:false,creator_subscriptions_tweet_preview_api_enabled:true,responsive_web_graphql_timeline_navigation_enabled:true,responsive_web_graphql_skip_user_profile_image_extensions_enabled:false,tweetypie_unmention_optimization_enabled:true,responsive_web_edit_tweet_api_enabled:true,graphql_is_translatable_rweb_tweet_is_translatable_enabled:true,view_counts_everywhere_api_enabled:true,longform_notetweets_consumption_enabled:true,responsive_web_twitter_article_tweet_consumption_enabled:false,tweet_awards_web_tipping_enabled:false,freedom_of_speech_not_reach_fetch_enabled:true,standardized_nudges_misinfo:true,tweet_with_visibility_results_prefer_gql_limited_actions_policy_enabled:true,longform_notetweets_rich_text_read_enabled:true,longform_notetweets_inline_media_enabled:true,responsive_web_enhance_cards_enabled:false})); const url = `https://x.com/i/api/graphql/meGUdoK_ryVZ0daBK-HJ2g/TweetDetail?variables=${variables}&features=${features}`; const resp = await fetch(url, {headers: {authorization: `Bearer ${BEARER}`, 'x-guest-token': gt, 'x-twitter-active-user': 'yes', 'content-type': 'application/json'}}); const text = await resp.text(); return JSON.stringify({status: resp.status, body: text.slice(0, 3000)}); }"
}
}[
{
"type": "text",
"text": "### Result\n\"{\\\"status\\\":404,\\\"body\\\":\\\"\\\"}\"\n### Ran Playwright code\n```js\nawait page.evaluate('async () => { const gt = document.cookie.match(/gt=([^;]+)/)?.[1]; const BEARER = \\'AAAAAAAAAAAAAAAAAAAAANRILgAAAAAAnNwIzUejRCOuH5E6I8xnZz4puTs%3D1Zv7ttfk8LF81IUq16cHjhLTvJu4FA33AGWWjCpTnA\\'; const tweetId = \\'2071942212925936053\\'; const variables = encodeURIComponent(JSON.stringify({focalTweetId: tweetId, referrer: \\'tweet\\', count: 20, with_rux_injections: false, includePromotedContent: true, withCommunity: true, withQuickPromoteEligibilityTweetFields: true, withBirdwatchNotes: true, withVoice: true, withV2Timeline: true})); const features = encodeURIComponent(JSON.stringify({rweb_lists_timeline_redesign_enabled:true,responsive_web_graphql_exclude_directive_enabled:true,verified_phone_label_enabled:false,creator_subscriptions_tweet_preview_api_enabled:true,responsive_web_graphql_timeline_navigation_enabled:true,responsive_web_graphql_skip_user_profile_image_extensions_enabled:false,tweetypie_unmention_optimization_enabled:true,responsive_web_edit_tweet_api_enabled:true,graphql_is_translatable_rweb_tweet_is_translatable_enabled:true,view_counts_everywhere_api_enabled:true,longform_notetweets_consumption_enabled:true,responsive_web_twitter_article_tweet_consumption_enabled:false,tweet_awards_web_tipping_enabled:false,freedom_of_speech_not_reach_fetch_enabled:true,standardized_nudges_misinfo:true,tweet_with_visibility_results_prefer_gql_limited_actions_policy_enabled:true,longform_notetweets_rich_text_read_enabled:true,longform_notetweets_inline_media_enabled:true,responsive_web_enhance_cards_enabled:false})); const url = `https://x.com/i/api/graphql/meGUdoK_ryVZ0daBK-HJ2g/TweetDetail?variables=${variables}&features=${features}`; const resp = await fetch(url, {headers: {authorization: `Bearer ${BEARER}`, \\'x-guest-token\\': gt, \\'x-twitter-active-user\\': \\'yes\\', \\'content-type\\': \\'application/json\\'}}); const text = await resp.text(); return JSON.stringify({status: resp.status, body: text.slice(0, 3000)}); }');\n```\n### Page\n- Page URL: https://x.com/arakharazian/status/2071942212925936053\n- Page Title: Ara Kharazian on X: \"We can finally say AI isn't killing jobs. A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low https://t.co/HMuNR0mwq9\" / X\n- Console: 10 errors, 0 warnings\n### Events\n- New console entries: .playwright-mcp/console-2026-07-01T06-23-51-588Z.log#L8-L10"
}
]The queryId meGUdoK_ryVZ0daBK-HJ2g is stale — X rotates these. Let me intercept the real one from the page's own network requests.
{
"server_name": "playwright",
"tool_name": "browser_evaluate",
"arguments": {
"function": "async () => { const entries = window.performance.getEntriesByType('resource'); const gql = entries.filter(e => e.name.includes('/i/api/graphql/')); return gql.map(e => e.name).join('\\n'); }"
}
}[
{
"type": "text",
"text": "### Result\n\"\"\n### Ran Playwright code\n```js\nawait page.evaluate('async () => { const entries = window.performance.getEntriesByType(\\'resource\\'); const gql = entries.filter(e => e.name.includes(\\'/i/api/graphql/\\')); return gql.map(e => e.name).join(\\'\\\\n\\'); }');\n```"
}
]Network entries are cleared. Let me reload the page while intercepting requests to capture the current TweetDetail queryId.
{
"server_name": "playwright",
"tool_name": "browser_navigate",
"arguments": {
"url": "https://x.com/arakharazian/status/2071942212925936053"
}
}[
{
"type": "text",
"text": "### Ran Playwright code\n```js\nawait page.goto('https://x.com/arakharazian/status/2071942212925936053');\n```\n### Page\n- Page URL: https://x.com/arakharazian/status/2071942212925936053\n- Page Title: Ara Kharazian on X: \"We can finally say AI isn't killing jobs. A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low https://t.co/HMuNR0mwq9\" / X\n### Snapshot\n- [Snapshot](.playwright-mcp/page-2026-07-01T06-24-34-747Z.yml)"
}
]{
"server_name": "playwright",
"tool_name": "browser_evaluate",
"arguments": {
"function": "() => { const entries = window.performance.getEntriesByType('resource'); const gql = entries.filter(e => e.name.includes('/i/api/graphql/')); return gql.map(e => e.name).join('\\n'); }"
}
}[
{
"type": "text",
"text": "### Result\n\"\"\n### Ran Playwright code\n```js\nawait page.evaluate('() => { const entries = window.performance.getEntriesByType(\\'resource\\'); const gql = entries.filter(e => e.name.includes(\\'/i/api/graphql/\\')); return gql.map(e => e.name).join(\\'\\\\n\\'); }');\n```\n### Page\n- Page URL: https://x.com/arakharazian/status/2071942212925936053\n- Page Title: Ara Kharazian on X: \"We can finally say AI isn't killing jobs. A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low https://t.co/HMuNR0mwq9\" / X\n- Console: 4 errors, 0 warnings\n### Events\n- New console entries: .playwright-mcp/console-2026-07-01T06-24-34-204Z.log#L1-L4"
}
]GraphQL calls aren't showing in performance API (likely cross-origin filtered). Let me check the page source for the queryId directly in the bundled JS, or just use fetch with x-twitter-client-language and the right headers. First let me find the current queryId from the JS bundles:
{
"server_name": "playwright",
"tool_name": "browser_evaluate",
"arguments": {
"function": "() => { const scripts = Array.from(document.querySelectorAll('script[src]')).map(s => s.src); return scripts.join('\\n'); }"
}
}[
{
"type": "text",
"text": "### Result\n\"https://accounts.google.com/gsi/client\\nhttps://appleid.cdn-apple.com/appleauth/static/jsapi/appleid/1/en_US/appleid.auth.js\"\n### Ran Playwright code\n```js\nawait page.evaluate('() => { const scripts = Array.from(document.querySelectorAll(\\'script[src]\\')).map(s => s.src); return scripts.join(\\'\\\\n\\'); }');\n```\n### Page\n- Page URL: https://x.com/arakharazian/status/2071942212925936053\n- Page Title: Ara Kharazian on X: \"We can finally say AI isn't killing jobs. A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low https://t.co/HMuNR0mwq9\" / X\n- Console: 5 errors, 0 warnings\n### Events\n- New console entries: .playwright-mcp/console-2026-07-01T06-24-34-204Z.log#L5"
}
]X loads scripts dynamically. Let me just scrape the thread text directly from the DOM — the page already rendered the tweet content:
{
"server_name": "playwright",
"tool_name": "browser_evaluate",
"arguments": {
"function": "() => { const articles = Array.from(document.querySelectorAll('article')); return articles.map((a, i) => { const text = a.innerText; return `--- Tweet ${i+1} ---\\n${text}`; }).join('\\n\\n'); }",
"filename": "/tmp/thread_dom.txt"
}
}MCP tool 'browser_evaluate' returned an error: [
{
"type": "text",
"text": "### Error\nFile access denied: /tmp/thread_dom.txt is outside allowed roots. Allowed roots: /Users/root1/.playwright-mcp, /Users/root1\n### Ran Playwright code\n```js\nawait page.evaluate('() => { const articles = Array.from(document.querySelectorAll(\\'article\\')); return articles.map((a, i) => { const text = a.innerText; return `--- Tweet ${i+1} ---\\\\n${text}`; }).join(\\'\\\\n\\\\n\\'); }');\n```\n### Page\n- Page URL: https://x.com/arakharazian/status/2071942212925936053\n- Page Title: Ara Kharazian on X: \"We can finally say AI isn't killing jobs. A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low https://t.co/HMuNR0mwq9\" / X\n- Console: 6 errors, 0 warnings\n### Events\n- New console entries: .playwright-mcp/console-2026-07-01T06-24-34-204Z.log#L6"
}
]
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",
… (24 chars truncated)
… (495 lines truncated)
<truncation_notice>
Full output written to: /var/folders/d9/mzhyr7lx6xbf236j5ll9v_300000gn/T/devin-overflows-501/8dc5528e/content.txt
</truncation_notice>File needs to go in /Users/root1. Let me just return inline and scroll through the DOM:
{
"server_name": "playwright",
"tool_name": "browser_evaluate",
"arguments": {
"function": "() => { const articles = Array.from(document.querySelectorAll('article')); return JSON.stringify(articles.map((a, i) => ({tweet: i+1, text: a.innerText.slice(0,1000)}))); }"
}
}[
{
"type": "text",
"text": "### Result\n\"[{\\\"tweet\\\":1,\\\"text\\\":\\\"Ara Kharazian\\\\n@arakharazian\\\\nWe can finally say AI isn't killing jobs.\\\\n\\\\nA new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs.\\\\n\\\\nFirms that adopt AI heavily grow headcount 10% over two years following adoption. Low adopters see no statistically significant change.\\\\n1:01 PM · Jun 30, 2026\\\\n597K\\\\nViews\\\\nRead 124 replies\\\"}]\"\n### Ran Playwright code\n```js\nawait page.evaluate('() => { const articles = Array.from(document.querySelectorAll(\\'article\\')); return JSON.stringify(articles.map((a, i) => ({tweet: i+1, text: a.innerText.slice(0,1000)}))); }');\n```\n### Page\n- Page URL: https://x.com/arakharazian/status/2071942212925936053\n- Page Title: Ara Kharazian on X: \"We can finally say AI isn't killing jobs. A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low https://t.co/HMuNR0mwq9\" / X\n- Console: 7 errors, 0 warnings\n### Events\n- New console entries: .playwright-mcp/console-2026-07-01T06-24-34-204Z.log#L7"
}
]Only 1 article visible — the thread replies aren't loaded yet. Let me scroll down to load the full thread and then grab all tweets:
{
"server_name": "playwright",
"tool_name": "browser_evaluate",
"arguments": {
"function": "async () => { for(let i=0; i<15; i++) { window.scrollBy(0, 800); await new Promise(r=>setTimeout(r, 600)); } const articles = Array.from(document.querySelectorAll('article')); return JSON.stringify(articles.map((a,i) => ({tweet: i+1, text: a.innerText.slice(0,1500)}))); }"
}
}[
{
"type": "text",
"text": "### Result\n\"[{\\\"tweet\\\":1,\\\"text\\\":\\\"Ara Kharazian\\\\n@arakharazian\\\\nWe can finally say AI isn't killing jobs.\\\\n\\\\nA new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs.\\\\n\\\\nFirms that adopt AI heavily grow headcount 10% over two years following adoption. Low adopters see no statistically significant change.\\\\n1:01 PM · Jun 30, 2026\\\\n597K\\\\nViews\\\\nRead 124 replies\\\"}]\"\n### Ran Playwright code\n```js\nawait page.evaluate('async () => { for(let i=0; i<15; i++) { window.scrollBy(0, 800); await new Promise(r=>setTimeout(r, 600)); } const articles = Array.from(document.querySelectorAll(\\'article\\')); return JSON.stringify(articles.map((a,i) => ({tweet: i+1, text: a.innerText.slice(0,1500)}))); }');\n```"
}
]Still only 1. This tweet links to replies but X doesn't inline the thread replies unless you're logged in. This is a top-level tweet, not a thread — the "124 replies" are replies from others, not self-replies forming a thread. Let me check the page snapshot to see if there's a self-reply chain below the main tweet:
{
"server_name": "playwright",
"tool_name": "browser_snapshot",
"arguments": {}
}[
{
"type": "text",
"text": "### Page\n- Page URL: https://x.com/arakharazian/status/2071942212925936053\n- Page Title: Ara Kharazian on X: \"We can finally say AI isn't killing jobs. A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low https://t.co/HMuNR0mwq9\" / X\n- Console: 7 errors, 0 warnings\n### Snapshot\n```yaml\n- generic [active] [ref=f2e1]:\n - generic [ref=f2e2]:\n - banner [ref=f2e4]:\n - link \"X\" [ref=f2e6] [cursor=pointer]:\n - /url: /\n - img [ref=f2e7]\n - main [ref=f2e9]:\n - generic [ref=f2e12]:\n - button \"Back\" [ref=f2e13] [cursor=pointer]:\n - img [ref=f2e14]\n - heading \"Post\" [level=2] [ref=f2e17]\n - article [ref=f2e21]:\n - generic [ref=f2e22]:\n - generic [ref=f2e23]:\n - generic [ref=f2e24]:\n - link \"user avatar\" [ref=f2e27] [cursor=pointer]:\n - /url: https://x.com/arakharazian\n - img \"user avatar\" [ref=f2e28]\n - generic [ref=f2e30]:\n - generic [ref=f2e31]:\n - generic [ref=f2e32]:\n - link \"Ara Kharazian\" [ref=f2e33] [cursor=pointer]:\n - /url: https://x.com/arakharazian\n - generic [ref=f2e36]:\n - button \"Verified account\" [ref=f2e37] [cursor=pointer]:\n - img [ref=f2e38]\n - link \"Ramp\" [ref=f2e40] [cursor=pointer]:\n - /url: https://twitter.com/tryramp\n - img \"Ramp\" [ref=f2e43]\n - link \"@arakharazian\" [ref=f2e45] [cursor=pointer]:\n - /url: https://x.com/arakharazian\n - button \"More\" [ref=f2e47] [cursor=pointer]:\n - img [ref=f2e48]\n - generic [ref=f2e50]:\n - generic [ref=f2e51]:\n - text: We can finally say AI isn't killing jobs. A new paper from me,\n - link \"@tryramp\" [ref=f2e52] [cursor=pointer]:\n - /url: https://x.com/tryramp\n - text: \", and\"\n - link \"@RevelioLabs\" [ref=f2e53] [cursor=pointer]:\n - /url: https://x.com/RevelioLabs\n - text: uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low adopters see no statistically significant change.\n - link \"Image\" [ref=f2e55]:\n - /url: /arakharazian/status/2071942212925936053/photo/1\n - generic [ref=f2e56]:\n - link \"1:01 PM · Jun 30, 2026\" [ref=f2e58] [cursor=pointer]:\n - /url: /arakharazian/status/2071942212925936053\n - generic [ref=f2e59]:\n - text: ·\n - link \"597K Views\" [ref=f2e60] [cursor=pointer]:\n - /url: https://x.com/arakharazian/status/2071942212925936053\n - generic [ref=f2e61]: 597K\n - generic [ref=f2e62]: Views\n - generic [ref=f2e64]:\n - generic [ref=f2e66]:\n - button \"Reply\" [ref=f2e67] [cursor=pointer]:\n - img [ref=f2e68]\n - button \"124\" [ref=f2e70] [cursor=pointer]:\n - generic [ref=f2e74]:\n - generic [ref=f2e76]: \"1\"\n - generic [ref=f2e78]: \"2\"\n - generic [ref=f2e80]: \"4\"\n - generic [ref=f2e82]:\n - button \"Repost\" [ref=f2e83] [cursor=pointer]:\n - img [ref=f2e84]\n - button \"454\" [ref=f2e86] [cursor=pointer]:\n - generic [ref=f2e90]:\n - generic [ref=f2e92]: \"4\"\n - generic [ref=f2e94]: \"5\"\n - generic [ref=f2e96]: \"4\"\n - generic [ref=f2e98]:\n - button \"Like\" [ref=f2e99] [cursor=pointer]:\n - img [ref=f2e100]\n - button \"2111\" [ref=f2e102] [cursor=pointer]:\n - generic [ref=f2e103]:\n - generic [ref=f2e105]:\n - generic [ref=f2e108]: \"2\"\n - generic [ref=f2e109]:\n - generic [ref=f2e111]: .\n - generic [ref=f2e113]: \"1\"\n - generic [ref=f2e116]: K\n - generic [ref=f2e118]:\n - button \"Bookmark\" [ref=f2e119] [cursor=pointer]:\n - img [ref=f2e120]\n - button \"1276\" [ref=f2e122] [cursor=pointer]:\n - generic [ref=f2e123]:\n - generic [ref=f2e125]:\n - generic [ref=f2e128]: \"1\"\n - generic [ref=f2e129]:\n - generic [ref=f2e131]: .\n - generic [ref=f2e133]: \"3\"\n - generic [ref=f2e136]: K\n - button \"Share\" [ref=f2e137] [cursor=pointer]:\n - img [ref=f2e138]\n - button \"Read 124 replies\" [ref=f2e140] [cursor=pointer]:\n - generic [ref=f2e141]:\n - img [ref=f2e142]\n - generic [ref=f2e144]: Read 124 replies\n - complementary [ref=f2e145]:\n - generic [ref=f2e147]:\n - generic [ref=f2e148]:\n - heading \"New to X?\" [level=2] [ref=f2e149]\n - generic [ref=f2e150]:\n - paragraph [ref=f2e151]: Sign up now to get your own personalized timeline!\n - generic [ref=f2e152]:\n - generic [ref=f2e220]:\n - generic [ref=f2e222]:\n - button \"Sign up with Google. Opens in new tab\" [ref=f2e224] [cursor=pointer]:\n - generic [ref=f2e226]:\n - img [ref=f2e228]\n - generic [ref=f2e235]: Sign up with Google\n - iframe [ref=f2e236]:\n - button \"Sign up with Google. Opens in new tab\" [ref=f3e3] [cursor=pointer]:\n - generic [ref=f3e5]:\n - img [ref=f3e7]\n - generic [ref=f3e14]: Sign up with Google\n - generic:\n - img\n - text: Sign up with Google\n - button \"Sign up with Apple\" [ref=f2e159] [cursor=pointer]:\n - img [ref=f2e160]\n - text: Sign up with Apple\n - link \"Create account\" [ref=f2e162] [cursor=pointer]:\n - /url: /i/jf/onboarding/web?mode=signup\n - paragraph [ref=f2e163]:\n - text: By signing up, you agree to the\n - link \"Terms of Service\" [ref=f2e164] [cursor=pointer]:\n - /url: https://x.com/tos\n - text: and\n - link \"Privacy Policy\" [ref=f2e165] [cursor=pointer]:\n - /url: https://x.com/privacy\n - text: \", including\"\n - link \"Cookie Use.\" [ref=f2e166] [cursor=pointer]:\n - /url: https://support.x.com/articles/20170514\n - generic [ref=f2e167]:\n - heading \"Relevant people\" [level=2] [ref=f2e168]\n - generic [ref=f2e170]:\n - link \"user avatar\" [ref=f2e171] [cursor=pointer]:\n - /url: https://x.com/arakharazian\n - img \"user avatar\" [ref=f2e172]\n - generic [ref=f2e174]:\n - link \"Ara Kharazian @arakharazian\" [ref=f2e175] [cursor=pointer]:\n - /url: /arakharazian\n - generic [ref=f2e176]: Ara Kharazian\n - generic [ref=f2e177]: \"@arakharazian\"\n - link \"Follow\" [ref=f2e178] [cursor=pointer]:\n - /url: /i/jf/onboarding/web?mode=login&redirect_after_login=%2Farakharazian\n - navigation \"Footer\" [ref=f2e187]:\n - generic [ref=f2e188]:\n - link \"Terms\" [ref=f2e189] [cursor=pointer]:\n - /url: https://x.com/tos\n - generic [ref=f2e190]: ·\n - generic [ref=f2e191]:\n - link \"Privacy\" [ref=f2e192] [cursor=pointer]:\n - /url: https://x.com/privacy\n - generic [ref=f2e193]: ·\n - generic [ref=f2e194]:\n - link \"Cookies\" [ref=f2e195] [cursor=pointer]:\n - /url: https://support.x.com/articles/20170514\n - generic [ref=f2e196]: ·\n - generic [ref=f2e197]:\n - link \"Accessibility\" [ref=f2e198] [cursor=pointer]:\n - /url: https://help.x.com/resources/accessibility\n - generic [ref=f2e199]: ·\n - generic [ref=f2e200]:\n - link \"US TIDA\" [ref=f2e201] [cursor=pointer]:\n - /url: https://help.x.com/en/rules-and-policies/us-tida\n - generic [ref=f2e202]: ·\n - generic [ref=f2e203]:\n - link \"Ads Info\" [ref=f2e204] [cursor=pointer]:\n - /url: https://business.x.com/en/help/troubleshooting/how-twitter-ads-work.html?ref=web-twc-ao-gbl-adsinfo&utm_source=twc&utm_medium=web&utm_campaign=ao&utm_content=adsinfo\n - generic [ref=f2e205]: ·\n - button \"More\" [ref=f2e206] [cursor=pointer]:\n - text: More\n - img [ref=f2e207]\n - generic [ref=f2e209]: © 2026 X Corp.\n - generic [ref=f2e212]:\n - generic [ref=f2e213]:\n - generic [ref=f2e214]: Don't miss what's happening\n - generic [ref=f2e215]: People on X are the first to know.\n - generic [ref=f2e216]:\n - link \"Log in\" [ref=f2e217] [cursor=pointer]:\n - /url: /i/jf/onboarding/web?mode=login\n - link \"Sign up\" [ref=f2e218] [… (437 chars truncated)
… (2 lines truncated)
<truncation_notice>
Full output written to: /var/folders/d9/mzhyr7lx6xbf236j5ll9v_300000gn/T/devin-overflows-501/8b3bdc0b/content.txt
</truncation_notice>This tweet is not a thread — it's a single top-level tweet with 124 replies from others. The "Read 124 replies" button won't show self-replies in a thread chain without login; and looking at the page, there are no self-replies forming a thread here.
The content is just the one tweet. But let me also check via nitter or a direct scrape to see if there are self-replies constituting a thread:
{
"command": "curl -s \"https://publish.twitter.com/oembed?url=https://x.com/arakharazian/status/2071942212925936053\" 2>/dev/null | python3 -c \"import json,sys; d=json.load(sys.stdin); print(d.get('html',''))\""
}Output from command in shell 55429b:
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/json/__init__.py", line 293, in load
return loads(fp.read(),
^^^^^^^^^^^^^^^^
File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/json/__init__.py", line 346, in loads
return _default_decoder.decode(s)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/json/decoder.py", line 338, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/json/decoder.py", line 356, in raw_decode
raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
Exit code: 1{
"command": "curl -sL \"https://publish.twitter.com/oembed?url=https://x.com/arakharazian/status/2071942212925936053\" | head -c 500"
}Output from command in shell 34b699:
{"url":"https:\/\/x.com\/arakharazian\/status\/2071942212925936053","author_name":"Ara Kharazian","author_url":"https:\/\/x.com\/arakharazian","html":"\u003Cblockquote class=\"twitter-tweet\"\u003E\u003Cp lang=\"en\" dir=\"ltr\"\u003EWe can finally say AI isn't killing jobs.\u003Cbr\u003E\u003Cbr\u003EA new paper from me, \u003Ca href=\"https:\/\/x.com\/tryramp?ref_src=twsrc%5Etfw\"\u003E@tryramp\u003C\/a\u003E, and \u003Ca href=\"https:\/\/x.com\/RevelioLabs?ref_src=twsrc%5Etfw\"\u003E@RevelioLabs\u003C\/a\u003E uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs.\u003Cbr\u003E\u003Cbr\u003EFirms that adopt AI heavily grow headcount 10% over two years following adoption. Low… \u003Ca href=\"https:\/\/t.co\/HMuNR0mwq9\"\u003Epic.twitter.com\/HMuNR0mwq9\u003C\/a\u003E\u003C\/p\u003E— Ara Kharazian (@arakharazian) \u003Ca href=\"https:\/\/x.com\/arakharazian\/status\/2071942212925936053?ref_src=twsrc%5Etfw\"\u003EJune 30, 2026\u003C\/a\u003E\u003C\/blockquote\u003E\n\u003Cscript async src=\"https:\/\/platform.x.com\/widgets.js\" charset=\"utf-8\"\u003E\u003C\/script\u003E\n\n","width":550,"height":null,"type":"rich","cache_age":"3153600000","provider_name":"X","provider_url":"https:\/\/x.com","version":"1.0"}
Exit code: 0Conversation to summarize: === MESSAGE 0 - System === <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: Tuesday, 2026-06-30
</system_info>
=== MESSAGE 1 - System === <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~/.env (e.g. HF_TOKEN for Hugging Face). Source it before use: set -a; . ~/.env; set +aFor 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):
grep query. No load.*metadata.*Foo style regex..*, \d+, \s+ almost always return 0 results.multi_grep for OR logic across multiple identifiers (e.g. snake_case + PascalCase variants) in one call.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
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.
mcp_list_tools on the playwright server, then browser_navigate to https://x.com.https://x.com/home, read ct0 from document.cookie:
document.cookie.match(/ct0=([^;]+)/)[1]fetch() inside browser_evaluate. Required headers:
authorization: Bearer AAAAAAAAAAAAAAAAAAAAANRILgAAAAAAnNwIzUejRCOuH5E6I8xnZz4puTs%3D1Zv7ttfk8LF81IUq16cHjhLTvJu4FA33AGWWjCpTnA (the public web-app bearer token)x-csrf-token: <ct0>x-twitter-auth-type: OAuth2Sessionx-twitter-active-user: yescontent-type: application/jsoncontent.cursorType === "Bottom" entries and passing
the value back as variables.cursor until it stops changing.UserByScreenName → 681MIj51w00Aj6dY0GXnHw (resolve @handle → numeric rest_id)Following → OLm4oHZBfqWx8jbcEhWoFwFollowers → 9jsVJ9l2uXUIKslHvJqIhwUserTweets → RyDU3I9VJtPF-Pnl6vrRlwSearchTimeline → yIphfmxUO-hddQHKIOk9tATweetDetail → meGUdoK_ryVZ0daBK-HJ2g
URL pattern: https://x.com/i/api/graphql/<queryId>/<OpName>?variables=<enc>&features=<enc>screen_name / name under core, NOT legacy.screen_name.
twscrape's parser still reads legacy.screen_name and returns empty — needs updating.id ...[51 chars truncated]... (= 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.content.entryType === "TimelineTimelineItem" and skip
cursor-, messageprompt-, module-, who-to-follow- entryIds.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.
~/Downloads/utilities/sdand_following.csv (1613 rows: #, id, screen_name, name, verified, followers, bio)~/Downloads/utilities/sdand_following_final.json (double-encoded JSON string; parse with json.loads(json.loads(raw)))~/Downloads/utilities/twscrape/ for reference, then deleted after the flow was reverse-engineered. Re-clone from https://github.com/vladkens/twscrape.git if needed.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).
Shell alias (defined in ~/.zshrc): whisper
# 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.
BatchedInferencePipeline with batch_size=16 — batches encoder/decoder across chunks (2-4x)beam_size=1 (greedy) — ~2x faster, negligible WER increase for conversational speechvad_filter=True — skips silence segmentscompute_type="float16" — halves memory bandwidthforce_build=True on apt/pip steps + unique download_root per run forces
fresh image rebuild + fresh HF model download every timefaster-whisper==1.1.1 (provides BatchedInferencePipeline)ctranslate2==4.8.0nvidia/cuda:12.6.3-cudnn-runtime-ubuntu22.04 (provides libcublas.so.12;
debian_slim fails with RuntimeError: Library libcublas.so.12 is not found)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.
--playlist-item N to pick one.-f bestaudio/best to avoid downloading multi-GB high-bitrate video streams.~/Downloads/utilities/whisper_x/whisper_transcribe.py~/Downloads/utilities/whisper_x/STRATEGY.md (full optimization breakdown)~/Downloads/utilities/whisper_x/transcribe_fast.pywhisper-audio (created automatically; holds uploaded audio files)aidenhuang-personal (workspace with GPU access)=== MESSAGE 2 - User === unroll this thread, and summarize https://x.com/arakharazian/status/2071942212925936053
=== MESSAGE 3 - System ===
<available_skills>
The following skills can be invoked using the skill tool. When a built-in skill clearly matches the user's request, invoke it immediately at the start of the session.
=== MESSAGE 4 - Assistant === I'll use the Playwright MCP to navigate to the X/Twitter thread and unroll it. Let me start by listing the available tools.
=== MESSAGE 5 - Tool ===
[
{
"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"
...[2204 chars truncated]... "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-501/41fc5f5f/content.txt
</truncation_notice>
=== MESSAGE 6 - Assistant === Good, I have the tools. Let me navigate to x.com and check if I'm logged in, then use the GraphQL API to fetch the thread.
=== MESSAGE 7 - Tool ===
[
{
"type": "text",
"text": "### Ran Playwright code\njs\nawait page.goto('https://x.com');\n\n### Page\n- Page URL: https://x.com/\n- Page Title: X. It’s what’s happening / X\n- Console: 1 errors, 0 warnings\n### Snapshot\n- Snapshot\n### Events\n- New console entries: .playwright-mcp/console-2026-07-01T06-23-20-293Z.log#L1"
}
]
=== MESSAGE 8 - Assistant ===
=== MESSAGE 9 - Tool ===
[
{
"type": "text",
"text": "### Result\n"guest_id_marketing=v1%3A178288700040501728; guest_id_ads=v1%3A178288700040501728; guest_id=v1%3A178288700040501728; personalization_id=\"v1_WqOu4GnuePTYygh5GsZ+0Q==\"; gt=2072204387888631915; __cuid=a24ae6b2-7927-49ab-aff2-d5b52193e761; __cuid=a24ae6b2-7927-49ab-aff2-d5b52193e761; g_state={\"i_l\":0,\"i_ll\":1782887002318,\"i_b\":\"52qApzIWspbKw1PcEeDqndVkxaA2l74CyzPkdennoJg\",\"i_e\":{\"enable_itp_optimization\":24},\"i_et\":1782887002318}"\n### Ran Playwright code\njs\nawait page.evaluate('() => document.cookie');\n\n### Page\n- Page URL: https://x.com/\n- Page Title: X. It’s what’s happening / X\n- Console: 5 errors, 1 warnings\n### Events\n- New console entries: .playwright-mcp/console-2026-07-01T06-23-20-293Z.log#L2-L7"
}
]
=== MESSAGE 10 - Assistant ===
I'm not logged in (no ct0 cookie). I need to use the logged-in session. Let me navigate to x.com/home to check if there's a session, or ask you to log in.
=== MESSAGE 11 - Tool ===
[
{
"type": "text",
"text": "### Ran Playwright code\njs\nawait page.goto('https://x.com/home');\n\n### Page\n- Page URL: https://x.com/\n- Page Title: X. It’s what’s happening / X\n- Console: 2 errors, 1 warnings\n### Snapshot\n- Snapshot\n### Events\n- New console entries: .playwright-mcp/console-2026-07-01T06-23-29-117Z.log#L1-L4"
}
]
=== MESSAGE 12 - Assistant ===
The browser redirected back to x.com/ — you're not logged in. Please log in to your X account in the browser window that just opened, then let me know when you're done. Once logged in, I'll be able to fetch the thread via the API.
=== MESSAGE 13 - User === wrong approach you fucking retarde
=== MESSAGE 14 - Assistant ===
You're right, I should use the TweetDetail GraphQL endpoint directly via fetch() in the browser — no login needed for public tweets with the guest token. Let me do that properly.
=== MESSAGE 15 - Tool === MCP tool 'browser_evaluate' returned an error: [ { "type": "text", "text": "### Error\nbrowserBackend.callTool: SecurityError: Failed to read the 'cookie' property from 'Document': Access is denied for this document.\n at eval (eval at <anonymous> (eval at evaluate (:303:30)), <anonymous>:1:17)\n at eval (eval at evaluate (:303:30), <anonymous>:4:50)\n at UtilityScript.evaluate (<anonymous>:305:16)\n at UtilityScript.<anonymous> (<anonymous>:1:44)\n### Page\n- Page URL: about:blank" } ]
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": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"element": {
"description": "Human-readable element description used to obtain permission to interact with the element",
"typ...[2203 chars truncated]...s to files to drop onto the element.",
"type": "array",
"items": {
"type": "string"
}
},
"data": {
"description": "Data to drop, as a map of MIME type to string value (e.g. {"text/plain": "hello", "text/uri-list": "https://example.com"}).",
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {
"type": "string"
}
}
},
"required": [
"target"
],
"additionalProperties": false
},
"annotations": {
"title": "Drop files or data onto an element",
"readOnlyHint": false,
"destructiveHint": true,
"openWorldHint": true
}
},
{
"name": "browser_fill_form",
"description": "Fill multiple form fields",
"inputSchema": {
"$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": … (9 chars truncated)
… (478 lines truncated)
<truncation_notice>
Full output written to: /var/folders/d9/mzhyr7lx6xbf236j5ll9v_300000gn/T/devin-overflows-501/2dc6c4ae/content.txt
</truncation_notice>
=== MESSAGE 16 - Assistant === First navigate to x.com to get the guest token, then hit the TweetDetail API.
=== MESSAGE 17 - Tool ===
[
{
"type": "text",
"text": "### Ran Playwright code\njs\nawait page.goto('https://x.com/arakharazian/status/2071942212925936053');\n\n### Page\n- Page URL: https://x.com/arakharazian/status/2071942212925936053\n- Page Title: Ara Kharazian on X: "We can finally say AI isn't killing jobs. A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low https://t.co/HMuNR0mwq9" / X\n### Snapshot\n- Snapshot"
}
]
=== MESSAGE 18 - Assistant ===
Good, the page loaded. Now let me get the guest token and ct0, then call TweetDetail.
=== MESSAGE 19 - Tool ===
[
{
"type": "text",
"text": "### Result\n"guest_id_marketing=v1%3A178288700040501728; guest_id_ads=v1%3A178288700040501728; guest_id=v1%3A178288700040501728; gt=2072204387888631915; __cuid=a24ae6b2-7927-49ab-aff2-d5b52193e761; _cuid=a24ae6b2-7927-49ab-aff2-d5b52193e761; personalization_id=\"v1/lBP+qMoOVma58SuoL8m1w==\"; g_state={\"i_l\":0,\"i_ll\":1782887032262,\"i_b\":\"52qApzIWspbKw1PcEeDqndVkxaA2l74CyzPkdennoJg\",\"i_e\":{\"enable_itp_optimization\":24},\"i_et\":1782887032262}"\n### Ran Playwright code\njs\nawait page.evaluate('() => document.cookie');\n\n### Page\n- Page URL: https://x.com/arakharazian/status/2071942212925936053\n- Page Title: Ara Kharazian on X: "We can finally say AI isn't killing jobs. A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low https://t.co/HMuNR0mwq9" / X\n- Console: 5 errors, 0 warnings\n### Events\n- New console entries: .playwright-mcp/console-2026-07-01T06-23-51-588Z.log#L1-L5"
}
]
=== MESSAGE 20 - Assistant ===
I have the guest token (gt=2072204387888631915). No ct0 since I'm not logged in, but I can use the guest token flow. Let me call TweetDetail with the guest token.
=== MESSAGE 21 - Tool === MCP tool 'browser_evaluate' returned an error: [ { "type": "text", "text": "### Error\nSyntaxError: Failed to execute 'json' on 'Response': Unexpected end of JSON input\n at eval (eval at <anonymous> (eval at evaluate (:303:30)), <anonymous>:1:1846)\n at async eval (eval at evaluate (:303:30), <anonymous>:4:30)\n at async <anonymous>:329:30\n### Page\n- Page URL: https://x.com/arakharazian/status/2071942212925936053\n- Page Title: Ara Kharazian on X: "We can finally say AI isn't killing jobs. A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low https://t.co/HMuNR0mwq9" / X\n- Console: 7 errors, 0 warnings\n### Events\n- New console entries: .playwright-mcp/console-2026-07-01T06-23-51-588Z.log#L6-L7" } ]
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
...[2179 chars truncated]... "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",
… (489 lines truncated)
<truncation_notice>
Full output written to: /var/folders/d9/mzhyr7lx6xbf236j5ll9v_300000gn/T/devin-overflows-501/a2f7b588/content.txt
</truncation_notice>
=== MESSAGE 22 - Assistant === The response body was empty/truncated. Let me check the status code and raw text first:
=== MESSAGE 23 - Tool ===
[
{
"type": "text",
"text": "### Result\n"{\"status\":404,\"body\":\"\"}"\n### Ran Playwright code\njs\nawait page.evaluate('async () => { const gt = document.cookie.match(/gt=([^;]+)/)?.[1]; const BEARER = \\'AAAAAAAAAAAAAAAAAAAAANRILgAAAAAAnNwIzUejRCOuH5E6I8xnZz4puTs%3D1Zv7ttfk8LF81IUq16cHjhLTvJu4FA33AGWWjCpTnA\\'; const tweetId = \\'2071942212925936053\\'; const variables = encodeURIComponent(JSON.stringify({focalTweetId: tweetId, referrer: \\'tweet\\', count: 20, with_rux_injections: false, includePromotedContent: true, withCommunity: true, withQuickPromoteEligibilityTweetFields: true, withBirdwatchNotes: true, withVoice: true, withV2Timeline: true})); const features = encodeURIComponent(JSON.stringify({rweb_lists_timeline_redesign_enabled:true,responsive_web_graphql_exclude_directive_enabled:true,verified_phone_label_enabled:false,creator_subscriptions_tweet_preview_api_enabled:true,responsive_web_graphql_timeline_navigation_enabled:true,responsive_web_graphql_skip_user_profile_image_extensions_enabled:false,tweetypie_unmention_optimization_enabled:true,responsive_web_edit_tweet_api_enabled:true,graphql_is_translatable_rweb_tweet_is_translatable_enabled:true,view_counts_everywhere_api_enabled:true,longform_notetweets_consumption_enabled:true,responsive_web_twitter_article_tweet_consumption_enabled:false,tweet_awards_web_tipping_enabled:false,freedom_of_speech_not_reach_fetch_enabled:true,standardized_nudges_misinfo:true,tweet_with_visibility_results_prefer_gql_limited_actions_policy_enabled:true,longform_notetweets_rich_text_read_enabled:true,longform_notetweets_inline_media_enabled:true,responsive_web_enhance_cards_enabled:false})); const url = `https://x.com/i/api/graphql/meGUdoK_ryVZ0daBK-HJ2g/TweetDetail?variables=${variables}&features=${features}`; const resp = await fetch(url, {headers: {authorization: `Bearer ${BEARER}`, \\'x-guest-token\\': gt, \\'x-twitter-active-user\\': \\'yes\\', \\'content-type\\': \\'application/json\\'}}); const text = await resp.text(); return JSON.stringify({status: resp.status, body: text.slice(0, 3000)}); }');\n\n### Page\n- Page URL: https://x.com/arakharazian/status/2071942212925936053\n- Page Title: Ara Kharazian on X: "We can finally say AI isn't killing jobs. A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low https://t.co/HMuNR0mwq9" / X\n- Console: 10 errors, 0 warnings\n### Events\n- New console entries: .playwright-mcp/console-2026-07-01T06-23-51-588Z.log#L8-L10"
}
]
=== MESSAGE 24 - Assistant ===
The queryId meGUdoK_ryVZ0daBK-HJ2g is stale — X rotates these. Let me intercept the real one from the page's own network requests.
=== MESSAGE 25 - Tool ===
[
{
"type": "text",
"text": "### Result\n""\n### Ran Playwright code\njs\nawait page.evaluate('async () => { const entries = window.performance.getEntriesByType(\\'resource\\'); const gql = entries.filter(e => e.name.includes(\\'/i/api/graphql/\\')); return gql.map(e => e.name).join(\\'\\\\n\\'); }');\n"
}
]
=== MESSAGE 26 - Assistant === Network entries are cleared. Let me reload the page while intercepting requests to capture the current TweetDetail queryId.
=== MESSAGE 27 - Tool ===
[
{
"type": "text",
"text": "### Ran Playwright code\njs\nawait page.goto('https://x.com/arakharazian/status/2071942212925936053');\n\n### Page\n- Page URL: https://x.com/arakharazian/status/2071942212925936053\n- Page Title: Ara Kharazian on X: "We can finally say AI isn't killing jobs. A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low https://t.co/HMuNR0mwq9" / X\n### Snapshot\n- Snapshot"
}
]
=== MESSAGE 28 - Assistant ===
=== MESSAGE 29 - Tool ===
[
{
"type": "text",
"text": "### Result\n""\n### Ran Playwright code\njs\nawait page.evaluate('() => { const entries = window.performance.getEntriesByType(\\'resource\\'); const gql = entries.filter(e => e.name.includes(\\'/i/api/graphql/\\')); return gql.map(e => e.name).join(\\'\\\\n\\'); }');\n\n### Page\n- Page URL: https://x.com/arakharazian/status/2071942212925936053\n- Page Title: Ara Kharazian on X: "We can finally say AI isn't killing jobs. A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low https://t.co/HMuNR0mwq9" / X\n- Console: 4 errors, 0 warnings\n### Events\n- New console entries: .playwright-mcp/console-2026-07-01T06-24-34-204Z.log#L1-L4"
}
]
=== MESSAGE 30 - Assistant ===
GraphQL calls aren't showing in performance API (likely cross-origin filtered). Let me check the page source for the queryId directly in the bundled JS, or just use fetch with x-twitter-client-language and the right headers. First let me find the current queryId from the JS bundles:
=== MESSAGE 31 - Tool ===
[
{
"type": "text",
"text": "### Result\n"https://accounts.google.com/gsi/client\nhttps://appleid.cdn-apple.com/appleauth/static/jsapi/appleid/1/en_US/appleid.auth.js"\n### Ran Playwright code\njs\nawait page.evaluate('() => { const scripts = Array.from(document.querySelectorAll(\\'script[src]\\')).map(s => s.src); return scripts.join(\\'\\\\n\\'); }');\n\n### Page\n- Page URL: https://x.com/arakharazian/status/2071942212925936053\n- Page Title: Ara Kharazian on X: "We can finally say AI isn't killing jobs. A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low https://t.co/HMuNR0mwq9" / X\n- Console: 5 errors, 0 warnings\n### Events\n- New console entries: .playwright-mcp/console-2026-07-01T06-24-34-204Z.log#L5"
}
]
=== MESSAGE 32 - Assistant === X loads scripts dynamically. Let me just scrape the thread text directly from the DOM — the page already rendered the tweet content:
=== MESSAGE 33 - Tool ===
MCP tool 'browser_evaluate' returned an error: [
{
"type": "text",
"text": "### Error\nFile access denied: /tmp/thread_dom.txt is outside allowed roots. Allowed roots: /Users/root1/.playwright-mcp, /Users/root1\n### Ran Playwright code\njs\nawait page.evaluate('() => { const articles = Array.from(document.querySelectorAll(\\'article\\')); return articles.map((a, i) => { const text = a.innerText; return `--- Tweet ${i+1} ---\\\\n${text}`; }).join(\\'\\\\n\\\\n\\'); }');\n\n### Page\n- Page URL: https://x.com/arakharazian/status/2071942212925936053\n- Page Title: Ara Kharazian on X: "We can finally say AI isn't killing jobs. A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low https://t.co/HMuNR0mwq9" / X\n- Console: 6 errors, 0 warnings\n### Events\n- New console entries: .playwright-mcp/console-2026-07-01T06-24-34-204Z.log#L6"
}
]
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": ...[2204 chars truncated]...Schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"element": {
"description": "Human-readable element description used to obtain permission to interact with the element",
"type": "string"
},
"target": {
"type": "string",
"description": "Exact target element reference from the page snapshot, or a unique element selector"
},
"paths": {
"description": "Absolute paths to files to drop onto the element.",
"type": "array",
"items": {
"type": "string"
}
},
"data": {
"description": "Data to drop, as a map of MIME type to string value (e.g. {"text/plain": "hello", "text/uri-list": "https://example.com"}).",
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {
"type": "string"
}
}
},
"required": [
"target"
],
"additionalProperties": false
},
"annotations": {
"title": "Drop files or data onto an element",
"readOnlyHint": false,
"destructiveHint": true,
"openWorldHint": true
}
},
{
"name": "browser_fill_form",
"description": "Fill multiple form fields",
"inputSchema": {
"$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",
… (24 chars truncated)
… (495 lines truncated)
<truncation_notice>
Full output written to: /var/folders/d9/mzhyr7lx6xbf236j5ll9v_300000gn/T/devin-overflows-501/8dc5528e/content.txt
</truncation_notice>
=== MESSAGE 34 - Assistant ===
File needs to go in /Users/root1. Let me just return inline and scroll through the DOM:
=== MESSAGE 35 - Tool ===
[
{
"type": "text",
"text": "### Result\n"[{\"tweet\":1,\"text\":\"Ara Kharazian\\n@arakharazian\\nWe can finally say AI isn't killing jobs.\\n\\nA new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs.\\n\\nFirms that adopt AI heavily grow headcount 10% over two years following adoption. Low adopters see no statistically significant change.\\n1:01 PM · Jun 30, 2026\\n597K\\nViews\\nRead 124 replies\"}]"\n### Ran Playwright code\njs\nawait page.evaluate('() => { const articles = Array.from(document.querySelectorAll(\\'article\\')); return JSON.stringify(articles.map((a, i) => ({tweet: i+1, text: a.innerText.slice(0,1000)}))); }');\n\n### Page\n- Page URL: https://x.com/arakharazian/status/2071942212925936053\n- Page Title: Ara Kharazian on X: "We can finally say AI isn't killing jobs. A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low https://t.co/HMuNR0mwq9" / X\n- Console: 7 errors, 0 warnings\n### Events\n- New console entries: .playwright-mcp/console-2026-07-01T06-24-34-204Z.log#L7"
}
]
=== MESSAGE 36 - Assistant === Only 1 article visible — the thread replies aren't loaded yet. Let me scroll down to load the full thread and then grab all tweets:
=== MESSAGE 37 - Tool ===
[
{
"type": "text",
"text": "### Result\n"[{\"tweet\":1,\"text\":\"Ara Kharazian\\n@arakharazian\\nWe can finally say AI isn't killing jobs.\\n\\nA new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs.\\n\\nFirms that adopt AI heavily grow headcount 10% over two years following adoption. Low adopters see no statistically significant change.\\n1:01 PM · Jun 30, 2026\\n597K\\nViews\\nRead 124 replies\"}]"\n### Ran Playwright code\njs\nawait page.evaluate('async () => { for(let i=0; i<15; i++) { window.scrollBy(0, 800); await new Promise(r=>setTimeout(r, 600)); } const articles = Array.from(document.querySelectorAll(\\'article\\')); return JSON.stringify(articles.map((a,i) => ({tweet: i+1, text: a.innerText.slice(0,1500)}))); }');\n"
}
]
=== MESSAGE 38 - Assistant === Still only 1. This tweet links to replies but X doesn't inline the thread replies unless you're logged in. This is a top-level tweet, not a thread — the "124 replies" are replies from others, not self-replies forming a thread. Let me check the page snapshot to see if there's a self-reply chain below the main tweet:
=== MESSAGE 39 - Tool === [ { "type": "text", "text": "### Page\n- Page URL: https://x.com/arakharazian/status/2071942212925936053\n- Page Title: Ara Kharazian on X: "We can finally say AI isn't killing jobs. A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low https://t.co/HMuNR0mwq9" / X\n- Console: 7 errors, 0 warnings\n### Snapshot\n```yaml\n- generic [active] [ref=f2e1]:\n - generic [ref=f2e2]:\n - banner [ref=f2e4]:\n - link "X" [ref=f2e6] [cursor=pointer]:\n - /url: /\n - img [ref=f2e7]\n - main [ref=f2e9]:\n - generic [ref=f2e12]:\n - button "Back" [ref=f2e13] [cursor=pointer]:\n - img [ref=f2e14]\n - heading "Post" [level=2] [ref=f2e17]\n - article [ref=f2e21]:\n - generic [ref=f2e22]:\n - generic [ref=f2e23]:\n - generic [ref=f2e24]:\n - link "user avatar" [ref=f2e27] [cursor=pointer]:\n - /url: https://x.com/arakharazian\n - img "user avatar" [ref=f2e28]\n - generic [ref=f2e30]:\n - generic [ref=f2e31]:\n - generic [ref=f2e32]:\n - link "Ara Kharazian" [ref=f2e33] [cursor=pointer]:\n - /url: https://x.com/arakharazian\n - generic [ref=f2e36]:\n - button "Verified account" [ref=f2e37] [cursor=pointer]:\n - img [ref=f2e38]\n - link "Ramp" [ref=f2e40] [cursor=pointer]:\n - /url: https://twitter.com/tryramp\n - img "Ramp" [ref=f2e43]\n - link "@arakharazian" [ref=f2e45] [cursor=pointer]:\n - /url: https://x.com/arakharazian\n - button "More" [ref=f2e47] [cursor=pointer]:\n - img [ref=f2e48]\n - generic [ref=f2e50]:\n - generic [ref=f2e51]:\n - text: We can finally say AI isn't killing jobs. A new paper from me,\n - link "@tryramp" [ref=f2e52] [cursor=pointer]:\n - /url: https://x.com/tryramp\n - text: ", and"\n - link "@RevelioLabs" [ref=f2e53] [cursor=pointer]:\n - /url: https://x.com/RevelioLabs\n - text: uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low adopters see no statistically significant change.\n - link "Image" [ref=f2e55]:\n - /url: /arakharazian/status/2071942212925936053/photo/1\n - generic [ref=f2e56]:\n - link "1:01 PM · Jun 30, 2026" [ref=f2e58] [cursor=pointer]:\n - /url: /arakharazian/status/2071942212925936053\n - generic [ref=f2e59]:\n - text: ·\n - link "597K Views" [ref=f2e60] [cursor=pointer]:\n - /url: https://x.com/arakharazian/status/2071942212925936053\n - generic [ref=f2e61]: 597K\n - generic [ref=f2e62]: Views\n - generic [ref=f2e64]:\n - generic [ref=f2e66]:\n - button "Reply" [ref=f2e67] [cursor=pointer]:\n - img [ref=f2e68]\n - button "124" [ref=f2e70] [cursor=pointer]:\n - generic [ref=f2e74]:\n - generic [ref=f2e76]: "1"\n - generic [ref=f2e78]: "2"\n - generic [ref=f2e80]: "4"\n - generic [ref=f2e82]:\n - button "Repost" [ref=f2e83] [cursor=pointer]:\n - img [ref=f2e84]\n - button "454" [ref=f2e86] [cursor=pointer]:\n - generic [ref=f2e90...[2203 chars truncated]... - button "Sign up with Google. Opens in new tab" [ref=f3e3] [cursor=pointer]:\n - generic [ref=f3e5]:\n - img [ref=f3e7]\n - generic [ref=f3e14]: Sign up with Google\n - generic:\n - img\n - text: Sign up with Google\n - button "Sign up with Apple" [ref=f2e159] [cursor=pointer]:\n - img [ref=f2e160]\n - text: Sign up with Apple\n - link "Create account" [ref=f2e162] [cursor=pointer]:\n - /url: /i/jf/onboarding/web?mode=signup\n - paragraph [ref=f2e163]:\n - text: By signing up, you agree to the\n - link "Terms of Service" [ref=f2e164] [cursor=pointer]:\n - /url: https://x.com/tos\n - text: and\n - link "Privacy Policy" [ref=f2e165] [cursor=pointer]:\n - /url: https://x.com/privacy\n - text: ", including"\n - link "Cookie Use." [ref=f2e166] [cursor=pointer]:\n - /url: https://support.x.com/articles/20170514\n - generic [ref=f2e167]:\n - heading "Relevant people" [level=2] [ref=f2e168]\n - generic [ref=f2e170]:\n - link "user avatar" [ref=f2e171] [cursor=pointer]:\n - /url: https://x.com/arakharazian\n - img "user avatar" [ref=f2e172]\n - generic [ref=f2e174]:\n - link "Ara Kharazian @arakharazian" [ref=f2e175] [cursor=pointer]:\n - /url: /arakharazian\n - generic [ref=f2e176]: Ara Kharazian\n - generic [ref=f2e177]: "@arakharazian"\n - link "Follow" [ref=f2e178] [cursor=pointer]:\n - /url: /i/jf/onboarding/web?mode=login&redirect_after_login=%2Farakharazian\n - navigation "Footer" [ref=f2e187]:\n - generic [ref=f2e188]:\n - link "Terms" [ref=f2e189] [cursor=pointer]:\n - /url: https://x.com/tos\n - generic [ref=f2e190]: ·\n - generic [ref=f2e191]:\n - link "Privacy" [ref=f2e192] [cursor=pointer]:\n - /url: https://x.com/privacy\n - generic [ref=f2e193]: ·\n - generic [ref=f2e194]:\n - link "Cookies" [ref=f2e195] [cursor=pointer]:\n - /url: https://support.x.com/articles/20170514\n - generic [ref=f2e196]: ·\n - generic [ref=f2e197]:\n - link "Accessibility" [ref=f2e198] [cursor=pointer]:\n - /url: https://help.x.com/resources/accessibility\n - generic [ref=f2e199]: ·\n - generic [ref=f2e200]:\n - link "US TIDA" [ref=f2e201] [cursor=pointer]:\n - /url: https://help.x.com/en/rules-and-policies/us-tida\n - generic [ref=f2e202]: ·\n - generic [ref=f2e203]:\n - link "Ads Info" [ref=f2e204] [cursor=pointer]:\n - /url: https://business.x.com/en/help/troubleshooting/how-twitter-ads-work.html?ref=web-twc-ao-gbl-adsinfo&utm_source=twc&utm_medium=web&utm_campaign=ao&utm_content=adsinfo\n - generic [ref=f2e205]: ·\n - button "More" [ref=f2e206] [cursor=pointer]:\n - text: More\n - img [ref=f2e207]\n - generic [ref=f2e209]: © 2026 X Corp.\n - generic [ref=f2e212]:\n - generic [ref=f2e213]:\n - generic [ref=f2e214]: Don't miss what's happening\n - generic [ref=f2e215]: People on X are the first to know.\n - generic [ref=f2e216]:\n - link "Log in" [ref=f2e217] [cursor=pointer]:\n - /url: /i/jf/onboarding/web?mode=login\n - link "Sign up" [ref=f2e218] [… (437 chars truncated) … (2 lines truncated) <truncation_notice> Full output written to: /var/folders/d9/mzhyr7lx6xbf236j5ll9v_300000gn/T/devin-overflows-501/8b3bdc0b/content.txt </truncation_notice>
=== MESSAGE 40 - Assistant === This tweet is not a thread — it's a single top-level tweet with 124 replies from others. The "Read 124 replies" button won't show self-replies in a thread chain without login; and looking at the page, there are no self-replies forming a thread here.
The content is just the one tweet. But let me also check via nitter or a direct scrape to see if there are self-replies constituting a thread:
=== MESSAGE 41 - Tool === Output from command in shell 55429b: Traceback (most recent call last): File "<string>", line 1, in <module> File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/json/init.py", line 293, in load return loads(fp.read(), ^^^^^^^^^^^^^^^^ File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/json/init.py", line 346, in loads return _default_decoder.decode(s) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/json/decoder.py", line 338, in decode obj, end = self.raw_decode(s, idx=_w(s, 0).end()) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/json/decoder.py", line 356, in raw_decode raise JSONDecodeError("Expecting value", s, err.value) from None json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
Exit code: 1
=== MESSAGE 42 - Assistant ===
=== MESSAGE 43 - Tool === Output from command in shell 34b699: {"url":"https://x.com/arakharazian/status/2071942212925936053","author_name":"Ara Kharazian","author_url":"https://x.com/arakharazian","html":"\u003Cblockquote class="twitter-tweet"\u003E\u003Cp lang="en" dir="ltr"\u003EWe can finally say AI isn't killing jobs.\u003Cbr\u003E\u003Cbr\u003EA new paper from me, \u003Ca href="https://x.com/tryramp?ref_src=twsrc%5Etfw"\u003E@tryramp\u003C/a\u003E, and \u003Ca href="https://x.com/RevelioLabs?ref_src=twsrc%5Etfw"\u003E@RevelioLabs\u003C/a\u003E uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs.\u003Cbr\u003E\u003Cbr\u003EFirms that adopt AI heavily grow headcount 10% over two years following adoption. Low… \u003Ca href="https://t.co/HMuNR0mwq9"\u003Epic.twitter.com/HMuNR0mwq9\u003C/a\u003E\u003C/p\u003E— Ara Kharazian (@arakharazian) \u003Ca href="https://x.com/arakharazian/status/2071942212925936053?ref_src=twsrc%5Etfw"\u003EJune 30, 2026\u003C/a\u003E\u003C/blockquote\u003E\n\u003Cscript async src="https://platform.x.com/widgets.js" charset="utf-8"\u003E\u003C/script\u003E\n\n","width":550,"height":null,"type":"rich","cache_age":"3153600000","provider_name":"X","provider_url":"https://x.com","version":"1.0"}
Exit code: 0
Now summarize the conversation above as per the format given. Remember, do NOT take any actions. Just provide the summary in <summary> tags.
TweetDetail endpoint without being logged in, but encountered a 404 status, indicating a stale queryId. (Message 21, 23)article elements from the DOM after scrolling down to load more content. (Message 32, 33, 35, 36)The agent has determined that the provided X/Twitter URL does not contain a thread of self-replies but is a single tweet with replies from others. The agent has confirmed this by trying to scrape the DOM and by analyzing the page snapshot. The agent will now summarize the tweet content.
</summary>The oembed only returns the first tweet (truncated with "Low…"). Now let me click "Read 124 replies" to load self-replies and check if Ara himself replied to form a thread:
{
"server_name": "playwright",
"tool_name": "browser_click",
"arguments": {
"element": "Read 124 replies button",
"target": "f2e140"
}
}[
{
"type": "text",
"text": "### Ran Playwright code\n```js\nawait page.getByRole('button', { name: 'Read 124 replies' }).click();\n```\n### Page\n- Page URL: https://x.com/arakharazian/status/2071942212925936053\n- Page Title: Ara Kharazian on X: \"We can finally say AI isn't killing jobs. A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low https://t.co/HMuNR0mwq9\" / X\n- Console: 9 errors, 0 warnings\n### Snapshot\n- [Snapshot](.playwright-mcp/page-2026-07-01T06-25-26-507Z.yml)\n### Events\n- New console entries: .playwright-mcp/console-2026-07-01T06-24-34-204Z.log#L8-L9"
}
]Conversation to summarize:
=== MESSAGE 0 - System ===
<available_skills>
The following skills can be invoked using the skill tool. When a built-in skill clearly matches the user's request, invoke it immediately at the start of the session.
=== MESSAGE 1 - System === You are continuing work from a previous conversation thread. Below is a summary of the previous conversation thread: Full conversation history saved at /Users/root1/.local/share/devin/cli/summaries/history_1e826db1b9274317.md. Summary:
<summary> ## Overview The user requested to "unroll" and summarize an X/Twitter thread. The agent attempted to do this by interacting with the X/Twitter website, first by trying to use the GraphQL API and then by directly scraping the DOM.TweetDetail endpoint without being logged in, but encountered a 404 status, indicating a stale queryId. (Message 21, 23)article elements from the DOM after scrolling down to load more content. (Message 32, 33, 35, 36)The agent has determined that the provided X/Twitter URL does not contain a thread of self-replies but is a single tweet with replies from others. The agent has confirmed this by trying to scrape the DOM and by analyzing the page snapshot. The agent will now summarize the tweet content.
</summary>=== MESSAGE 2 - Assistant === The oembed only returns the first tweet (truncated with "Low…"). Now let me click "Read 124 replies" to load self-replies and check if Ara himself replied to form a thread:
=== MESSAGE 3 - Tool ===
[
{
"type": "text",
"text": "### Ran Playwright code\njs\nawait page.getByRole('button', { name: 'Read 124 replies' }).click();\n\n### Page\n- Page URL: https://x.com/arakharazian/status/2071942212925936053\n- Page Title: Ara Kharazian on X: "We can finally say AI isn't killing jobs. A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low https://t.co/HMuNR0mwq9" / X\n- Console: 9 errors, 0 warnings\n### Snapshot\n- Snapshot\n### Events\n- New console entries: .playwright-mcp/console-2026-07-01T06-24-34-204Z.log#L8-L9"
}
]
Now summarize the conversation above as per the format given. Remember, do NOT take any actions. Just provide the summary in <summary> tags.
TweetDetail endpoint without being logged in, but encountered a 404 status. (Message 21, 23 from history)article elements from the DOM after scrolling down to load more content. (Message 32, 33, 35, 36 from history)The agent has determined that the provided X/Twitter URL does not contain a thread of self-replies, but is a single tweet with replies from other users. The agent clicked on "Read 124 replies" to see if there were any self-replies but found none. The agent will now proceed to summarize the content of the single tweet.
</summary>{
"server_name": "playwright",
"tool_name": "browser_evaluate",
"arguments": {
"function": "async () => { await new Promise(r=>setTimeout(r,2000)); const articles = Array.from(document.querySelectorAll('article')); return JSON.stringify(articles.map((a,i) => ({tweet: i+1, text: a.innerText.slice(0,800)}))); }"
}
}[
{
"type": "text",
"text": "### Result\n\"[{\\\"tweet\\\":1,\\\"text\\\":\\\"Ara Kharazian\\\\n@arakharazian\\\\nWe can finally say AI isn't killing jobs.\\\\n\\\\nA new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs.\\\\n\\\\nFirms that adopt AI heavily grow headcount 10% over two years following adoption. Low adopters see no statistically significant change.\\\\n1:01 PM · Jun 30, 2026\\\\n597K\\\\nViews\\\\nRead 124 replies\\\"}]\"\n### Ran Playwright code\n```js\nawait page.evaluate('async () => { await new Promise(r=>setTimeout(r,2000)); const articles = Array.from(document.querySelectorAll(\\'article\\')); return JSON.stringify(articles.map((a,i) => ({tweet: i+1, text: a.innerText.slice(0,800)}))); }');\n```\n### Page\n- Page URL: https://x.com/arakharazian/status/2071942212925936053\n- Page Title: Ara Kharazian on X: \"We can finally say AI isn't killing jobs. A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low https://t.co/HMuNR0mwq9\" / X\n- Console: 11 errors, 0 warnings\n### Events\n- New console entries: .playwright-mcp/console-2026-07-01T06-24-34-204Z.log#L10-L11"
}
]X is gating replies behind login for unauthenticated users. The page only shows the first tweet. This is the correct behavior for X without a logged-in session — replies are blocked.
The tweet title from the page gives us the full first tweet text. Based on what's visible, this appears to be a single tweet (not a multi-tweet thread), just with many replies. The tweet content is:
Ara Kharazian (@arakharazian) — June 30, 2026
We can finally say AI isn't killing jobs.
A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs.
Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low adopters see no statistically significant change.
Summary: This tweet announces a research paper co-authored with Ramp and Revelio Labs studying AI's effect on employment across 21,000 U.S. businesses. The key finding: companies that heavily adopt AI actually grow headcount by ~10% over the two years following adoption, while low adopters show no significant employment change — contradicting the popular narrative that AI kills jobs.
To get the full thread/self-replies, I'd need your X account to be logged in in the Playwright browser. If you want, log in there and I can re-run this to pull the complete thread.
.errorContainer {
background-color: #FFF;
color: #0F1419;
max-width: 600px;
margin: 0 auto;
padding: 10%;
font-family: Helvetica, sans-serif;
font-size: 16px;
}
.errorButton {
margin: 3em 0;
}
.errorButton a {
background: #1DA1F2;
border-radius: 2.5em;
color: white;
padding: 1em 2em;
text-decoration: none;
}
.errorButton a:hover,
.errorButton a:focus {
background: rgb(26, 145, 218);
}
.errorFooter {
color: #657786;
font-size: 80%;
line-height: 1.5;
padding: 1em 0;
}
.errorFooter a,
.errorFooter a:visited {
color: #657786;
text-decoration: none;
padding-right: 1em;
}
.errorFooter a:hover,
.errorFooter a:active {
text-decoration: underline;
}
#placeholder,
#react-root {
display: none !important;
}
body {
background-color: #FFF !important;
}
</style>
<div class="errorContainer">
<svg role="img" aria-label="X logo" width="48" height="48" viewBox="0 0 128 128" xmlns="http://www.w3.org/2000/svg">
<path fill-rule="evenodd" clip-rule="evenodd" d="M86.8918 28.25H99.0219L72.5243 58.5334L103.698 99.75H79.285L60.1647 74.7536L38.2929 99.75H26.1627L54.5069 67.3565L24.5938 28.25H49.6199L66.9004 51.0974L86.8918 28.25ZM82.6337 92.4904H89.3555L45.9716 35.1301H38.7584L82.6337 92.4904Z" fill="black"/>
</svg>
<h1>JavaScript is not available.</h1>
<p>We’ve detected that JavaScript is disabled in this browser. Please enable JavaScript or switch to a supported browser to continue using x.com. You can see a list of supported browsers in our Help Center.</p>
<p class="errorButton"><a href="https://help.x.com/using-x/x-supported-browsers">Help Center</a></p>
<p class="errorFooter">
<a href="https://x.com/tos">Terms of Service</a>
<a href="https://x.com/privacy">Privacy Policy</a>
<a href="https://support.x.com/articles/20170514">Cookie Policy</a>
<a href="https://legal.twitter.com/imprint.html">Imprint</a>
<a href="https://business.twitter.com/en/help/troubleshooting/how-twitter-ads-work.html?ref=web-twc-ao-gbl-adsinfo&utm_source=twc&utm_medium=web&utm_campaign=ao&utm_content=adsinfo">Ads info</a>
© 2026 X Corp.
</p>
.errorContainer {
background-color: #FFF;
color: #0F1419;
max-width: 600px;
margin: 0 auto;
padding: 10%;
font-family: Helvetica, sans-serif;
font-size: 16px;
}
.errorButton {
margin: 3em 0;
}
.errorButton a {
background: #1DA1F2;
border-radius: 2.5em;
color: white;
padding: 1em 2em;
text-decoration: none;
}
.errorButton a:hover,
.errorButton a:focus {
background: rgb(26, 145, 218);
}
.errorFooter {
color: #657786;
font-size: 80%;
line-height: 1.5;
padding: 1em 0;
}
.errorFooter a,
.errorFooter a:visited {
color: #657786;
text-decoration: none;
padding-right: 1em;
}
.errorFooter a:hover,
.errorFooter a:active {
text-decoration: underline;
}
#placeholder,
#react-root {
display: none !important;
}
body {
background-color: #FFF !important;
}
</style>
<div class="errorContainer">
<svg role="img" aria-label="X logo" width="48" height="48" viewBox="0 0 128 128" xmlns="http://www.w3.org/2000/svg">
<path fill-rule="evenodd" clip-rule="evenodd" d="M86.8918 28.25H99.0219L72.5243 58.5334L103.698 99.75H79.285L60.1647 74.7536L38.2929 99.75H26.1627L54.5069 67.3565L24.5938 28.25H49.6199L66.9004 51.0974L86.8918 28.25ZM82.6337 92.4904H89.3555L45.9716 35.1301H38.7584L82.6337 92.4904Z" fill="black"/>
</svg>
<h1>JavaScript is not available.</h1>
<p>We’ve detected that JavaScript is disabled in this browser. Please enable JavaScript or switch to a supported browser to continue using x.com. You can see a list of supported browsers in our Help Center.</p>
<p class="errorButton"><a href="https://help.x.com/using-x/x-supported-browsers">Help Center</a></p>
<p class="errorFooter">
<a href="https://x.com/tos">Terms of Service</a>
<a href="https://x.com/privacy">Privacy Policy</a>
<a href="https://support.x.com/articles/20170514">Cookie Policy</a>
<a href="https://legal.twitter.com/imprint.html">Imprint</a>
<a href="https://business.twitter.com/en/help/troubleshooting/how-twitter-ads-work.html?ref=web-twc-ao-gbl-adsinfo&utm_source=twc&utm_medium=web&utm_campaign=ao&utm_content=adsinfo">Ads info</a>
© 2026 X Corp.
</p>
It looks like you've pasted the full raw HTML source of the X.com page. I can see from the embedded window.__META_DATA__ and window.__INITIAL_STATE__ that:
aidentothe (user ID 1818076104151965696)x.com/arakharazian/status/2071942212925936053However, the HTML is just the app shell — the actual tweet content is loaded dynamically via React/GraphQL after the JS executes in the browser. The raw HTML doesn't contain the tweet thread content.
The Playwright browser session I have access to is logged in (I can see the session state with isLoggedIn: true and screen_name aidentothe). Let me now try fetching the tweet thread via the GraphQL API with the active session:
{
"server_name": "playwright"
}[
{
"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/f5609c15/content.txt
</truncation_notice>