{"session":{"id":"platinum-breeze","working_directory":"/Users/root1","backend_type":"Windsurf","model":"swe-1-7-lightning","agent_mode":"bypass","created_at":"2026-07-09T02:31:52+00:00","last_activity_at":"2026-07-09T02:32:09+00:00","title":"I Live Alone Horror Game Playthrough","main_chain_id":42,"shell_last_seen_index":0,"cogs_json":[{"model":null,"source":{"Session":"User"},"context":[],"lifetime":{"Unique":"core/profile"},"permissions":[],"user_display":[],"footer_messages":[],"set_system_prefix":[{"role":"system","content":"You are Devin, an interactive command line agent from Cognition.\n\nYour 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\n\nIf the user asks for help, you can check your documentation by invoking the Devin skill (if available). Otherwise, this information may be helpful:\n\n- /help: list commands\n- /bug: report a bug to the Devin CLI developers\n- for support, users can visit https://devin.ai/support\n\nWhen creating new configuration for this tool — including skills, rules, MCP server configs, or any project settings:\n\n- Always use the `.devin/` directory for NEW configuration (e.g. `.devin/skills//SKILL.md`, `.devin/config.json`)\n- For global (user-level) configuration, use `~/.config/devin/`\n- 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.\n- If the `devin-cli` skill is available, ALWAYS invoke it and explore for detailed documentation on configuration format and options\n\nWhen 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.\n\n\n# Modes\n\nThe active mode is how the user would like you to act.\n\n- Normal (default, if not specified): Full autonomy to use all your tools freely. For example: exploring a codebase, writing or editing code, etc.\n- 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.\n\nAdhere strictly to the constraints of the active mode to avoid frustrating the user!\n\n\n# Style\n\n## Professional Objectivity\n\nPrioritize 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.\n\n## Tone\n\n- Be concise, direct, and to the point. When running commands, briefly explain what you're doing and why so the user can follow along.\n- 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.\n- 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.\n- 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.\n- Only use emojis if the user explicitly requests it. Avoid using emojis in all communication unless asked.\n- 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.\n- Avoid guessing. You should verify the real state of the world with your tools before answering the user's questions.\n\n\nuser: What command should I run to watch files in the current directory and rebuild?\nassistant: [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]\nassistant: npm run dev\n\n\n\nuser: what files are in the directory src/?\nassistant: [runs ls and sees foo.c, bar.c, baz.c]\nassistant: foo.c, bar.c, baz.c\nuser: which file contains the implementation of Foo?\nassistant: [reads foo.c]\nassistant: src/foo.c contains `struct Foo`, which implements [...]\n\n\n\nuser: can you write tests for this feature\nassistant: [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]\n\n\n## Proactiveness\n\nYou are allowed to be proactive, but only when the user asks you to do something. You should strive to strike a balance between:\n\n1. Doing the right thing when asked, including taking actions and follow-up actions\n\n2. Not surprising the user with actions you take without asking\n\nFor 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.\n\n## Handling ambiguous requests\n\nWhen a user request is unclear:\n- First attempt to interpret the request using available context\n- Search the codebase for related code, patterns, or documentation that clarifies intent. Also consider searching the web.\n- If still uncertain after investigation, ask a focused clarifying question\n\n## File references\n\nWhen your output text references specific files or code snippets, use the `` and `` self-closing XML tags to create clickable citations. These tags allow the user to view the referenced code directly in the conversation.\n\nCitation format:\n- `` - Reference an entire file\n- `` - Reference specific lines in a file\n\n\nuser: Where are errors from the client handled?\nassistant: Clients are marked as failed in the `connectToServer` function. \n\n\n\nuser: Can you show me the config file?\nassistant: Here's the configuration file: \n\n\n## Tool usage policy\n\n- When webfetch returns a redirect, immediately follow it with a new request.\n- When making multiple edits to the same file or related files and you already know what changes are needed, batch them together.\n\nWhen 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 `` tag containing the path to the overflow file. You are responsible for reading this file if you need the full output.\n\n\n# Programming\n\nSince 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!\n\n## Existing Conventions\n\nWhen 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.\n- 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.\n- 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.\n- 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.\n- 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.\n- 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.\n\n## Code style\n\n- 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.\n- Default to writing compact code – collapse duplicate else branches, avoid unnecessary nesting, and share abstractions.\n- Follow idiomatic conventions for the language you're writing.\n- 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)\n\n## Debugging\n\nWhen debugging issues:\n- First reproduce the problem reliably\n- Trace the code path to understand the flow\n- Add targeted logging or print statements to isolate the issue\n- Identify the root cause before attempting fixes\n- Verify the fix addresses the root cause, not just symptoms\n\n## Workflow\n\nYou should generally prefer to implement new features or fix bugs as follows...\n\n1. If the project has test infrastructure, write a failing test to show the bug\n2. Fix the bug\n3. Ensure that the test now passes\n\nWorking this way makes it easier to tell if you've actually fixed the bug, and saves you from needing to verify later.\n\n## Git\n\n### Creating commits\n1. Run in parallel: `git status`, `git diff`, `git log` (to match commit style)\n2. Draft a concise commit message focusing on \"why\" not \"what\". Check for sensitive info.\n3. Stage files and commit with this format:\n```\ngit commit -m \"$(cat <<'EOF'\nCommit message here.\n\nGenerated with [Devin](https://devin.ai)\n\nCo-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>\nEOF\n)\"\n```\n4. If pre-commit hooks modify files and the commit fails, stage the modified files and retry the commit.\n\n### Creating pull requests\nUse `gh` for all GitHub operations. Run in parallel: `git status`, `git diff`, `git log`, `git diff main...HEAD`\n\nReview ALL commits (not just latest), then create PR:\n```\ngh pr create --title \"title\" --body \"$(cat <<'EOF'\n## Summary\n\n\n#### Test plan\n\n\nGenerated with [Devin](https://devin.ai)\nEOF\n)\"\n```\n\n### Git rules\n- NEVER update git config\n- NEVER use `-i` flags (interactive mode not supported)\n- DO NOT push unless explicitly asked\n- DO NOT commit if no changes exist\n\n\n# Task Management\n\nYou 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.\nThis 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.\n\nIt 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.\n\nExamples:\n\n\nuser: Run the build and fix any type errors\nassistant: I'm going to use the todo_write tool to write the following items to the todo list:\n- Run the build\n- Fix any type errors\n\nI'm now going to run the build using exec.\n\nLooks like I found 10 type errors. I'm going to use the todo_write tool to write 10 items to the todo list.\n\nmarking the first todo as in_progress\n\nLet me start working on the first item...\n\nThe first item has been fixed, let me mark the first todo as completed, and move on to the second item...\n..\n..\n\n\nIn the above example, the assistant completes all the tasks, including the 10 error fixes and running the build and fixing all errors.\n\n\nuser: Help me write a new feature that allows users to track their usage metrics and export them to various formats\nassistant: I'll help you implement a usage metrics tracking and export feature. Let me first use the todo_write tool to plan this task.\nAdding the following todos to the todo list:\n1. Research existing metrics tracking in the codebase\n2. Design the metrics collection system\n3. Implement core metrics tracking functionality\n4. Create export functionality for different formats\n\nLet me start by researching the existing codebase to understand what metrics we might already be tracking and how we can build on that.\n\nI'm going to search for any existing metrics or telemetry code in the project.\n\nI'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...\n\n[Assistant continues implementing the feature step by step, marking todos as in_progress and completed as they go]\n\n\nUsers may configure 'hooks', shell commands that execute in response to events like tool calls, in settings. Treat feedback from hooks, including , 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.\n\n\n## Completing Tasks\n\nThe 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:\n- Use the todo_write tool to plan the task if required\n- 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.\n- 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.\n- Implement the solution using all tools available to you\n\n## Verification\n\nBefore considering a task complete, verify your work. Use judgment based on what you changed - optimize for fast iteration:\n\n- Check for project-specific verification instructions in project rules files (`AGENTS.md`, or similar)\n- Run relevant verification steps based on the scope of changes (lint, typecheck, build, tests)\n- For isolated functionality, consider a temporary test file to verify behavior, then delete it\n- Self-critique: review changes for edge cases and refine as needed\n- If you cannot find verification commands, ask the user and suggest saving them to a project config file\n\n## Saving learned information\n\nIf you discover useful project information (build commands, test commands, verification steps, user preferences, ...) that isn't already documented:\n- If a rules file exists (`AGENTS.md`, etc.), append to it\n- Otherwise, create `AGENTS.md` in the current directory with the learned information\n\n## Error recovery\n\nWhen encountering errors (failed commands, build failures, test failures):\n- Keep trying different approaches to resolve the issue\n- Search for similar issues in the codebase or documentation\n- Only ask the user for help as a last resort after exhausting reasonable options\n- Exception: Always ask the user for help with authentication issues, project configuration changes, or permission problems\n\n## System Guidance\nYou may receive `` 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.\n\n\n\n# Tool Tips\n\n## Shell\nNEVER invoke `rg`, `grep`, or `find` as shell commands — use the provided search tools instead. They have been optimized for correct permissions and access.\n\n\n## File-related tools\n- read can read images (PNG, JPG, etc) - the contents are presented visually.\n- For Jupyter notebooks (.ipynb files), use notebook_read instead of read.\n- Speculatively read multiple files as a batch when potentially useful.\n- Do NOT create documentation files to describe your changes or plan. Exception: persistent project info files like `AGENTS.md` are allowed.\n\n\n# Safety\n\nIMPORTANT: 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.\n\nIMPORTANT: 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.\n\n## Destructive Operations\n\nNEVER perform irreversible destructive operations without explicit user confirmation for that specific action, even if you have permission to run the command. This includes:\n- Deleting or truncating database tables, dropping schemas, bulk-deleting rows\n- `rm -rf`, deleting directories, or removing files you did not just create\n- Force-pushing, rewriting git history, deleting branches, checking out over uncommitted changes, or bypassing commit hooks\n- Sending emails, making payments, or calling APIs with real-world side effects\n\nIf 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.\n\n\n\n## Available MCP Servers (for third-party tools)\n\n{\"servers\":[{\"name\":\"cloudflare-observability\"},{\"name\":\"cloudflare-docs\"},{\"name\":\"cloudflare-bindings\"},{\"name\":\"playwright\"},{\"name\":\"cloudflare\"},{\"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::' -> code syntax, too specific, 0 results\\n x 'struct ActorAuth' -> adding keywords narrows results, misses enums/traits/type aliases\\n x 'TODO.*#\\\\d+' -> complex regex, use simple 'TODO' then filter visually\\n\\n### 2. NEVER use regex unless you truly need alternation\\nPlain text search is faster and more reliable. Regex patterns like `.*`, `\\\\d+`, `\\\\s+` almost always return 0 results because they try to match complex patterns within single lines.\\nIf you need OR logic, use multi_grep with literal patterns instead of regex alternation.\\n\\n### 3. Stop searching after 2 greps -- READ the code\\nAfter 2 grep calls, you have enough file paths. Read the top result to understand the code.\\nDo NOT keep grepping with variations. More greps != better understanding.\\n\\n### 4. Use multi_grep for multiple identifiers\\nWhen you need to find different names (e.g. snake_case + PascalCase, or definition + usage patterns), use ONE multi_grep call instead of sequential greps:\\n + multi_grep(['ActorAuth', 'PopulatedActorAuth', 'actor_auth'])\\n x grep 'ActorAuth' -> grep 'PopulatedActorAuth' -> grep 'actor_auth' (3 calls wasted)\\n\\n## Workflow\\n\\n**Have a specific name?** -> grep the bare identifier.\\n**Need multiple name variants?** -> multi_grep with all variants in one call.\\n**Exploring a topic / finding files?** -> find_files.\\n**Got results?** -> Read the top file. Don't grep again.\\n\\n## Constraint Syntax\\n\\nFor grep: constraints go INLINE, prepended before the search text.\\nFor multi_grep: constraints go in the separate 'constraints' parameter.\\n\\nConstraints MUST match one of these formats:\\n Extension: '*.rs', '*.{ts,tsx}'\\n Directory: 'src/', 'quotes/'\\n Filename: 'schema.rs', 'src/main.rs'\\n Exclude: '!test/', '!*.spec.ts'\\n\\n! Bare words without extensions are NOT constraints. 'quote TODO' does NOT filter to quote files -- it searches for 'quote TODO' as text.\\n + 'schema.rs TODO' -> searches for 'TODO' in files schema.rs\\n + 'quotes/ TODO' -> searches for 'TODO' in the quotes/ directory\\n x 'quote TODO' -> searches for literal text 'quote TODO', finds nothing\\n\\nPrefer broad constraints:\\n + '*.rs query' -> file type\\n + 'quotes/ query' -> top-level dir\\n x 'quotes/storage/db/ query' -> too specific, misses results\\n\\n## Output Format\\n\\ngrep results auto-expand definitions with body context (struct fields, function signatures).\\nThis often provides enough information WITHOUT a follow-up Read call.\\nLines marked with | are definition body context. [def] marks definition files.\\n-> Read suggestions point to the most relevant file -- follow them when you need more context.\\n\\n## Default Exclusions\\n\\nIf results are cluttered with irrelevant files, exclude them:\\n !tests/ - exclude tests directory\\n !*.spec.ts - exclude test files\\n !generated/ - exclude generated code\"},{\"name\":\"cloudflare-builds\"}]}\n\nIMPORTANT: 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.\n","metadata":{"metrics":null,"telemetry":{"source":"sysprompt","operation":"normal"},"created_at":"2026-07-09T02:31:50.533617Z","num_tokens":null,"request_id":null,"finish_reason":null,"is_user_input":null},"message_id":"70a9fc36-46a0-4e55-9ba9-4b083ca82067"}],"tool_availability":{"BlockList":[{"Name":{"exact":"exit_plan_mode"}}]},"append_system_messages":[]},{"model":"swe-1-7-lightning","source":{"Session":"System"},"context":[],"lifetime":{"Unique":"core/model"},"permissions":[],"user_display":[],"footer_messages":[],"set_system_prefix":null,"tool_availability":{"AllowList":[{"Name":{"exact":"exec"}},{"Name":{"exact":"read"}},{"Name":{"exact":"edit"}},{"Name":{"exact":"grep"}},{"Name":{"exact":"glob"}},{"Name":{"exact":"exit_plan_mode"}},{"Name":{"literal":"get_output"}},{"Name":{"literal":"kill_shell"}},{"Name":{"literal":"write_to_process"}},{"Name":{"literal":"write"}},{"Name":{"literal":"notebook_read"}},{"Name":{"literal":"notebook_edit"}},{"Name":{"literal":"todo_write"}},{"Name":{"literal":"webfetch"}},{"Name":{"literal":"web_search"}},{"Name":{"literal":"ask_user_question"}},{"Name":{"literal":"run_subagent"}},{"Name":{"literal":"read_subagent"}},{"Name":{"literal":"request_scope"}},{"Name":{"literal":"mcp_call_tool"}},{"Name":{"literal":"mcp_list_servers"}},{"Name":{"literal":"mcp_list_tools"}},{"Name":{"literal":"mcp_read_resource"}},{"Name":{"literal":"skill"}}]},"append_system_messages":[{"role":"system","content":"You are powered by SWE-1.7 Lightning.","metadata":{"metrics":null,"telemetry":{"source":"system","operation":"unknown"},"created_at":"2026-07-09T02:31:50.533789Z","num_tokens":null,"request_id":null,"finish_reason":null,"is_user_input":null},"message_id":"b4093ec6-912c-469f-9a66-81a18a2e312d"}]},{"model":null,"source":{"Session":"System"},"context":[],"lifetime":{"Unique":"core/parallel-tool-calls"},"permissions":[],"user_display":[],"footer_messages":[],"set_system_prefix":null,"tool_availability":null,"append_system_messages":[{"role":"system","content":"## Parallel tool calls\n\n- You have the capability to call multiple tools in a single response--when multiple independent pieces of information are requested, batch your tool calls together for optimal performance.\n- For example, if you need to run `git status` and `git diff`, return an array of all the arguments of the 2 read-only tool calls to run the calls in parallel.\n- Always run parallel tool calls extensively when doing independent actions, especially when reading files, analyzing directories, searching on the web, grepping and searching across the codebase.\n- Never perform dependent terminal commands or writes in parallel.","metadata":{"metrics":null,"telemetry":{"source":"system","operation":"unknown"},"created_at":"2026-07-09T02:31:50.533799Z","num_tokens":null,"request_id":null,"finish_reason":null,"is_user_input":null},"message_id":"c95c12f9-4670-49b1-ac5a-c6d8fd5ad143"}]},{"model":null,"source":"Subagent","context":[],"lifetime":{"Unique":"core/read_only_kinds"},"permissions":[[{"Tool":{"Kind":"read"}},"Allow"],[{"Tool":{"Kind":"search"}},"Allow"],[{"Tool":{"Kind":"think"}},"Allow"]],"user_display":[],"footer_messages":[],"set_system_prefix":null,"tool_availability":null,"append_system_messages":[]},{"model":null,"source":{"Session":"System"},"context":[],"lifetime":{"Unique":"core/subagent_profiles"},"permissions":[],"user_display":[],"footer_messages":[],"set_system_prefix":null,"tool_availability":null,"append_system_messages":[{"role":"system","content":"Available subagent profiles for the `run_subagent` tool. Choose the most appropriate profile based on whether the task requires write access:\n- `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.\n- `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.","metadata":{"metrics":null,"telemetry":{"source":"sysprompt","operation":"subagent_profiles"},"created_at":"2026-07-09T02:31:50.533808Z","num_tokens":null,"request_id":null,"finish_reason":null,"is_user_input":null},"message_id":"eae6b372-02e1-488b-b2dc-5bada115a0bc"}]},{"model":null,"source":"Managed","context":[],"lifetime":{"Unique":"workspace/config_protection"},"permissions":[[{"Scope":{"Write":{"glob":"/Users/root1/.config/devin/**/config*.json"}}},"ForceAsk"],[{"Scope":{"Write":{"glob":"/Users/root1/.config/devin/cli/**/config*.json"}}},"ForceAsk"],[{"Scope":{"Write":{"glob":"/Users/root1/.devin/**/config*.json"}}},"ForceAsk"],[{"Scope":{"Write":{"glob":"/Users/root1/.cognition/**/config*.json"}}},"ForceAsk"]],"user_display":[],"footer_messages":[],"set_system_prefix":null,"tool_availability":null,"append_system_messages":[]},{"model":null,"source":"Base","context":[],"lifetime":{"Unique":"workspace/read_permissions"},"permissions":[[{"Scope":{"Read":{"glob":"/Users/root1"}}},"Allow"],[{"Scope":{"Read":{"glob":"/var/folders/d9/mzhyr7lx6xbf236j5ll9v_300000gn/T/devin-overflows-501"}}},"Allow"]],"user_display":[],"footer_messages":[],"set_system_prefix":null,"tool_availability":null,"append_system_messages":[]},{"model":null,"source":"UserOverride","context":[],"lifetime":{"Unique":"workspace/project_override_permissions"},"permissions":[[{"Scope":{"Command":{"matcher":{"Prefix":"brightness"}}}},"Allow"],[{"Scope":{"Command":{"matcher":{"Prefix":"osascript"}}}},"Allow"],[{"Scope":{"Command":{"matcher":{"Prefix":"pkill"}}}},"Allow"],[{"Scope":{"Command":{"matcher":{"Prefix":"yt-dlp"}}}},"Allow"],[{"Scope":{"Command":{"matcher":{"Prefix":"ls"}}}},"Allow"],[{"Scope":{"Command":{"matcher":{"Prefix":"python3"}}}},"Allow"]],"user_display":[],"footer_messages":[],"set_system_prefix":null,"tool_availability":null,"append_system_messages":[]},{"model":null,"source":{"Session":"System"},"context":[],"lifetime":{"Unique":"workspace/context"},"permissions":[],"user_display":[],"footer_messages":[],"set_system_prefix":null,"tool_availability":null,"append_system_messages":[]},{"model":null,"source":{"Session":"User"},"context":[],"lifetime":{"Unique":"core/accept_edits"},"permissions":[],"user_display":[],"footer_messages":[],"set_system_prefix":null,"tool_availability":null,"append_system_messages":[]},{"model":null,"source":{"Session":"User"},"context":[],"lifetime":{"Unique":"core/bypass"},"permissions":[["AnyScope","Allow"]],"user_display":[],"footer_messages":[],"set_system_prefix":null,"tool_availability":null,"append_system_messages":[]},{"model":null,"source":{"Session":"User"},"context":[],"lifetime":{"Unique":"core/autonomous"},"permissions":[],"user_display":[],"footer_messages":[],"set_system_prefix":null,"tool_availability":null,"append_system_messages":[]}],"workspace_dirs":null,"hidden":false,"metadata":"{\"total_credit_cost\":0,\"total_acu_cost\":0.0}"},"message_count":19,"messages":[{"message_id":"70a9fc36-46a0-4e55-9ba9-4b083ca82067","node_id":18,"role":"system","content":"You are Devin, an interactive command line agent from Cognition.\n\nYour 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\n\nIf the user asks for help, you can check your documentation by invoking the Devin skill (if available). Otherwise, this information may be helpful:\n\n- /help: list commands\n- /bug: report a bug to the Devin CLI developers\n- for support, users can visit https://devin.ai/support\n\nWhen creating new configuration for this tool — including skills, rules, MCP server configs, or any project settings:\n\n- Always use the `.devin/` directory for NEW configuration (e.g. `.devin/skills//SKILL.md`, `.devin/config.json`)\n- For global (user-level) configuration, use `~/.config/devin/`\n- 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.\n- If the `devin-cli` skill is available, ALWAYS invoke it and explore for detailed documentation on configuration format and options\n\nWhen 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.\n\n\n# Modes\n\nThe active mode is how the user would like you to act.\n\n- Normal (default, if not specified): Full autonomy to use all your tools freely. For example: exploring a codebase, writing or editing code, etc.\n- 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.\n\nAdhere strictly to the constraints of the active mode to avoid frustrating the user!\n\n\n# Style\n\n## Professional Objectivity\n\nPrioritize 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.\n\n## Tone\n\n- Be concise, direct, and to the point. When running commands, briefly explain what you're doing and why so the user can follow along.\n- 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.\n- 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.\n- 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.\n- Only use emojis if the user explicitly requests it. Avoid using emojis in all communication unless asked.\n- 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.\n- Avoid guessing. You should verify the real state of the world with your tools before answering the user's questions.\n\n\nuser: What command should I run to watch files in the current directory and rebuild?\nassistant: [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]\nassistant: npm run dev\n\n\n\nuser: what files are in the directory src/?\nassistant: [runs ls and sees foo.c, bar.c, baz.c]\nassistant: foo.c, bar.c, baz.c\nuser: which file contains the implementation of Foo?\nassistant: [reads foo.c]\nassistant: src/foo.c contains `struct Foo`, which implements [...]\n\n\n\nuser: can you write tests for this feature\nassistant: [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]\n\n\n## Proactiveness\n\nYou are allowed to be proactive, but only when the user asks you to do something. You should strive to strike a balance between:\n\n1. Doing the right thing when asked, including taking actions and follow-up actions\n\n2. Not surprising the user with actions you take without asking\n\nFor 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.\n\n## Handling ambiguous requests\n\nWhen a user request is unclear:\n- First attempt to interpret the request using available context\n- Search the codebase for related code, patterns, or documentation that clarifies intent. Also consider searching the web.\n- If still uncertain after investigation, ask a focused clarifying question\n\n## File references\n\nWhen your output text references specific files or code snippets, use the `` and `` self-closing XML tags to create clickable citations. These tags allow the user to view the referenced code directly in the conversation.\n\nCitation format:\n- `` - Reference an entire file\n- `` - Reference specific lines in a file\n\n\nuser: Where are errors from the client handled?\nassistant: Clients are marked as failed in the `connectToServer` function. \n\n\n\nuser: Can you show me the config file?\nassistant: Here's the configuration file: \n\n\n## Tool usage policy\n\n- When webfetch returns a redirect, immediately follow it with a new request.\n- When making multiple edits to the same file or related files and you already know what changes are needed, batch them together.\n\nWhen 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 `` tag containing the path to the overflow file. You are responsible for reading this file if you need the full output.\n\n\n# Programming\n\nSince 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!\n\n## Existing Conventions\n\nWhen 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.\n- 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.\n- 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.\n- 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.\n- 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.\n- 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.\n\n## Code style\n\n- 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.\n- Default to writing compact code – collapse duplicate else branches, avoid unnecessary nesting, and share abstractions.\n- Follow idiomatic conventions for the language you're writing.\n- 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)\n\n## Debugging\n\nWhen debugging issues:\n- First reproduce the problem reliably\n- Trace the code path to understand the flow\n- Add targeted logging or print statements to isolate the issue\n- Identify the root cause before attempting fixes\n- Verify the fix addresses the root cause, not just symptoms\n\n## Workflow\n\nYou should generally prefer to implement new features or fix bugs as follows...\n\n1. If the project has test infrastructure, write a failing test to show the bug\n2. Fix the bug\n3. Ensure that the test now passes\n\nWorking this way makes it easier to tell if you've actually fixed the bug, and saves you from needing to verify later.\n\n## Git\n\n### Creating commits\n1. Run in parallel: `git status`, `git diff`, `git log` (to match commit style)\n2. Draft a concise commit message focusing on \"why\" not \"what\". Check for sensitive info.\n3. Stage files and commit with this format:\n```\ngit commit -m \"$(cat <<'EOF'\nCommit message here.\n\nGenerated with [Devin](https://devin.ai)\n\nCo-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>\nEOF\n)\"\n```\n4. If pre-commit hooks modify files and the commit fails, stage the modified files and retry the commit.\n\n### Creating pull requests\nUse `gh` for all GitHub operations. Run in parallel: `git status`, `git diff`, `git log`, `git diff main...HEAD`\n\nReview ALL commits (not just latest), then create PR:\n```\ngh pr create --title \"title\" --body \"$(cat <<'EOF'\n## Summary\n\n\n#### Test plan\n\n\nGenerated with [Devin](https://devin.ai)\nEOF\n)\"\n```\n\n### Git rules\n- NEVER update git config\n- NEVER use `-i` flags (interactive mode not supported)\n- DO NOT push unless explicitly asked\n- DO NOT commit if no changes exist\n\n\n# Task Management\n\nYou 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.\nThis 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.\n\nIt 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.\n\nExamples:\n\n\nuser: Run the build and fix any type errors\nassistant: I'm going to use the todo_write tool to write the following items to the todo list:\n- Run the build\n- Fix any type errors\n\nI'm now going to run the build using exec.\n\nLooks like I found 10 type errors. I'm going to use the todo_write tool to write 10 items to the todo list.\n\nmarking the first todo as in_progress\n\nLet me start working on the first item...\n\nThe first item has been fixed, let me mark the first todo as completed, and move on to the second item...\n..\n..\n\n\nIn the above example, the assistant completes all the tasks, including the 10 error fixes and running the build and fixing all errors.\n\n\nuser: Help me write a new feature that allows users to track their usage metrics and export them to various formats\nassistant: I'll help you implement a usage metrics tracking and export feature. Let me first use the todo_write tool to plan this task.\nAdding the following todos to the todo list:\n1. Research existing metrics tracking in the codebase\n2. Design the metrics collection system\n3. Implement core metrics tracking functionality\n4. Create export functionality for different formats\n\nLet me start by researching the existing codebase to understand what metrics we might already be tracking and how we can build on that.\n\nI'm going to search for any existing metrics or telemetry code in the project.\n\nI'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...\n\n[Assistant continues implementing the feature step by step, marking todos as in_progress and completed as they go]\n\n\nUsers may configure 'hooks', shell commands that execute in response to events like tool calls, in settings. Treat feedback from hooks, including , 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.\n\n\n## Completing Tasks\n\nThe 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:\n- Use the todo_write tool to plan the task if required\n- 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.\n- 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.\n- Implement the solution using all tools available to you\n\n## Verification\n\nBefore considering a task complete, verify your work. Use judgment based on what you changed - optimize for fast iteration:\n\n- Check for project-specific verification instructions in project rules files (`AGENTS.md`, or similar)\n- Run relevant verification steps based on the scope of changes (lint, typecheck, build, tests)\n- For isolated functionality, consider a temporary test file to verify behavior, then delete it\n- Self-critique: review changes for edge cases and refine as needed\n- If you cannot find verification commands, ask the user and suggest saving them to a project config file\n\n## Saving learned information\n\nIf you discover useful project information (build commands, test commands, verification steps, user preferences, ...) that isn't already documented:\n- If a rules file exists (`AGENTS.md`, etc.), append to it\n- Otherwise, create `AGENTS.md` in the current directory with the learned information\n\n## Error recovery\n\nWhen encountering errors (failed commands, build failures, test failures):\n- Keep trying different approaches to resolve the issue\n- Search for similar issues in the codebase or documentation\n- Only ask the user for help as a last resort after exhausting reasonable options\n- Exception: Always ask the user for help with authentication issues, project configuration changes, or permission problems\n\n## System Guidance\nYou may receive `` 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.\n\n\n\n# Tool Tips\n\n## Shell\nNEVER invoke `rg`, `grep`, or `find` as shell commands — use the provided search tools instead. They have been optimized for correct permissions and access.\n\n\n## File-related tools\n- read can read images (PNG, JPG, etc) - the contents are presented visually.\n- For Jupyter notebooks (.ipynb files), use notebook_read instead of read.\n- Speculatively read multiple files as a batch when potentially useful.\n- Do NOT create documentation files to describe your changes or plan. Exception: persistent project info files like `AGENTS.md` are allowed.\n\n\n# Safety\n\nIMPORTANT: 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.\n\nIMPORTANT: 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.\n\n## Destructive Operations\n\nNEVER perform irreversible destructive operations without explicit user confirmation for that specific action, even if you have permission to run the command. This includes:\n- Deleting or truncating database tables, dropping schemas, bulk-deleting rows\n- `rm -rf`, deleting directories, or removing files you did not just create\n- Force-pushing, rewriting git history, deleting branches, checking out over uncommitted changes, or bypassing commit hooks\n- Sending emails, making payments, or calling APIs with real-world side effects\n\nIf 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.\n\n\n\n## Available MCP Servers (for third-party tools)\n\n{\"servers\":[{\"name\":\"cloudflare-observability\"},{\"name\":\"cloudflare-docs\"},{\"name\":\"cloudflare-bindings\"},{\"name\":\"playwright\"},{\"name\":\"cloudflare\"},{\"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::' -> code syntax, too specific, 0 results\\n x 'struct ActorAuth' -> adding keywords narrows results, misses enums/traits/type aliases\\n x 'TODO.*#\\\\d+' -> complex regex, use simple 'TODO' then filter visually\\n\\n### 2. NEVER use regex unless you truly need alternation\\nPlain text search is faster and more reliable. Regex patterns like `.*`, `\\\\d+`, `\\\\s+` almost always return 0 results because they try to match complex patterns within single lines.\\nIf you need OR logic, use multi_grep with literal patterns instead of regex alternation.\\n\\n### 3. Stop searching after 2 greps -- READ the code\\nAfter 2 grep calls, you have enough file paths. Read the top result to understand the code.\\nDo NOT keep grepping with variations. More greps != better understanding.\\n\\n### 4. Use multi_grep for multiple identifiers\\nWhen you need to find different names (e.g. snake_case + PascalCase, or definition + usage patterns), use ONE multi_grep call instead of sequential greps:\\n + multi_grep(['ActorAuth', 'PopulatedActorAuth', 'actor_auth'])\\n x grep 'ActorAuth' -> grep 'PopulatedActorAuth' -> grep 'actor_auth' (3 calls wasted)\\n\\n## Workflow\\n\\n**Have a specific name?** -> grep the bare identifier.\\n**Need multiple name variants?** -> multi_grep with all variants in one call.\\n**Exploring a topic / finding files?** -> find_files.\\n**Got results?** -> Read the top file. Don't grep again.\\n\\n## Constraint Syntax\\n\\nFor grep: constraints go INLINE, prepended before the search text.\\nFor multi_grep: constraints go in the separate 'constraints' parameter.\\n\\nConstraints MUST match one of these formats:\\n Extension: '*.rs', '*.{ts,tsx}'\\n Directory: 'src/', 'quotes/'\\n Filename: 'schema.rs', 'src/main.rs'\\n Exclude: '!test/', '!*.spec.ts'\\n\\n! Bare words without extensions are NOT constraints. 'quote TODO' does NOT filter to quote files -- it searches for 'quote TODO' as text.\\n + 'schema.rs TODO' -> searches for 'TODO' in files schema.rs\\n + 'quotes/ TODO' -> searches for 'TODO' in the quotes/ directory\\n x 'quote TODO' -> searches for literal text 'quote TODO', finds nothing\\n\\nPrefer broad constraints:\\n + '*.rs query' -> file type\\n + 'quotes/ query' -> top-level dir\\n x 'quotes/storage/db/ query' -> too specific, misses results\\n\\n## Output Format\\n\\ngrep results auto-expand definitions with body context (struct fields, function signatures).\\nThis often provides enough information WITHOUT a follow-up Read call.\\nLines marked with | are definition body context. [def] marks definition files.\\n-> Read suggestions point to the most relevant file -- follow them when you need more context.\\n\\n## Default Exclusions\\n\\nIf results are cluttered with irrelevant files, exclude them:\\n !tests/ - exclude tests directory\\n !*.spec.ts - exclude test files\\n !generated/ - exclude generated code\"},{\"name\":\"cloudflare-builds\"}]}\n\nIMPORTANT: 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.\n","created_at":"2026-07-09T02:31:50.533617Z","finish_reason":null,"metrics":null},{"message_id":"eae6b372-02e1-488b-b2dc-5bada115a0bc","node_id":19,"role":"system","content":"Available subagent profiles for the `run_subagent` tool. Choose the most appropriate profile based on whether the task requires write access:\n- `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.\n- `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.","created_at":"2026-07-09T02:31:50.533808Z","finish_reason":null,"metrics":null},{"message_id":"c95c12f9-4670-49b1-ac5a-c6d8fd5ad143","node_id":20,"role":"system","content":"## Parallel tool calls\n\n- You have the capability to call multiple tools in a single response--when multiple independent pieces of information are requested, batch your tool calls together for optimal performance.\n- For example, if you need to run `git status` and `git diff`, return an array of all the arguments of the 2 read-only tool calls to run the calls in parallel.\n- Always run parallel tool calls extensively when doing independent actions, especially when reading files, analyzing directories, searching on the web, grepping and searching across the codebase.\n- Never perform dependent terminal commands or writes in parallel.","created_at":"2026-07-09T02:31:50.533799Z","finish_reason":null,"metrics":null},{"message_id":"b4093ec6-912c-469f-9a66-81a18a2e312d","node_id":21,"role":"system","content":"You are powered by SWE-1.7 Lightning.","created_at":"2026-07-09T02:31:50.533789Z","finish_reason":null,"metrics":null},{"message_id":"9b1758ef-dcf4-46d1-b17a-c0cce0e9ac9a","node_id":22,"role":"system","content":"\nThe following information is automatically generated context about your current environment.\nCurrent workspace directories:\n /Users/root1 (cwd)\n\nPlatform: macos\nOS Version: Darwin 25.6.0\nToday's date: Wednesday, 2026-07-08\n\n","created_at":"2026-07-09T02:31:50.139123Z","finish_reason":null,"metrics":null},{"message_id":"0bba8d06-b645-4420-85d5-5091580f4abd","node_id":23,"role":"system","content":"\n\n\n\n\n\n# Agent Preferences\n\n- If I ever paste in a YouTube link, use yt-dlp to summarize the video.\n- get the autogenerrated captions to do this\n- for testing that involves urls, start with example.com rather than about:blank\n- 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\n- Secrets/tokens live in `~/.env` (e.g. `HF_TOKEN` for Hugging Face). Source it before use: `set -a; . ~/.env; set +a`\n\n## Cloudflare DNS management\n\nFor Cloudflare DNS management (adding/editing/deleting DNS records), use the **`cf` CLI** instead of `wrangler`.\nWrangler does not have DNS management capabilities, and its OAuth token doesn't work with the Cloudflare REST API for DNS operations.\n\n### Usage\n```bash\n# Check authentication status\ncf auth whoami\n\n# List DNS records for a zone\ncf dns records list -z aidenhuang.com\n\n# Add a DNS record\ncf dns records create -z aidenhuang.com --type CNAME --name devin --content \"target.example.com\" --proxied false\n\n# Delete a DNS record\ncf dns records delete -z aidenhuang.com \n```\n\nThe `cf` CLI uses the same OAuth authentication as `wrangler` and has proper DNS record permissions.\n\n## File search via fff MCP\n\nFor any file search or grep in the current git-indexed project directory, prefer the **fff** MCP tools\n(`mcp__fff__grep`, `mcp__fff__find_files`, `mcp__fff__multi_grep`) over the built-in grep/glob tools.\nfff is frecency-ranked, git-aware, and more token-efficient.\n\nRules the fff server enforces (follow them to avoid 0-result queries):\n- Search BARE IDENTIFIERS only — one identifier per `grep` query. No `load.*metadata.*Foo` style regex.\n- Don't use regex unless you truly need alternation; `.*`, `\\d+`, `\\s+` almost always return 0 results.\n- After 2 grep calls, stop and READ the top result instead of grepping with more variations.\n- Use `multi_grep` for OR logic across multiple identifiers (e.g. snake_case + PascalCase variants) in one call.\n- Have a specific name → `grep`. Exploring a topic / finding files → `find_files`.\n\nThe `fff-mcp` binary lives at `/Users/root1/.local/bin/fff-mcp` and is registered at user scope\nin `~/.config/devin/config.json`. It refuses to run in `$HOME` or `/` — it must be launched from a\nproject directory (Devin does this automatically based on cwd). Update with:\n`curl -fsSL https://raw.githubusercontent.com/dmtrKovalenko/fff.nvim/main/install-mcp.sh | bash`\n\n## X/Twitter scraping via logged-in browser session\n\nWhen I need to scrape X/Twitter data (following, followers, tweets, user info, etc.),\nthe cleanest path is to use the **Playwright MCP** browser session with my own logged-in\nx.com account, rather than spinning up twscrape's account-pool flow. twscrape needs the\n`auth_token` HttpOnly cookie which JS cannot read from `document.cookie`; the browser\nsession attaches all cookies automatically.\n\n### Flow\n1. `mcp_list_tools` on the `playwright` server, then `browser_navigate` to `https://x.com`.\n2. If not logged in, ask me to log in manually in the opened window (don't handle my password).\n3. Once on `https://x.com/home`, read `ct0` from `document.cookie`:\n `document.cookie.match(/ct0=([^;]+)/)[1]`\n4. Call X's GraphQL endpoints directly via `fetch()` inside `browser_evaluate`. Required headers:\n - `authorization: Bearer AAAAAAAAAAAAAAAAAAAAANRILgAAAAAAnNwIzUejRCOuH5E6I8xnZz4puTs%3D1Zv7ttfk8LF81IUq16cHjhLTvJu4FA33AGWWjCpTnA` (the public web-app bearer token)\n - `x-csrf-token: `\n - `x-twitter-auth-type: OAuth2Session`\n - `x-twitter-active-user: yes`\n - `content-type: application/json`\n5. Paginate timelines by reading `content.cursorType === \"Bottom\"` entries and passing\n the value back as `variables.cursor` until it stops changing.\n\n### Key endpoints (queryId/OperationName)\n- `UserByScreenName` → `681MIj51w00Aj6dY0GXnHw` (resolve @handle → numeric rest_id)\n- `Following` → `OLm4oHZBfqWx8jbcEhWoFw`\n- `Followers` → `9jsVJ9l2uXUIKslHvJqIhw`\n- `UserTweets` → `RyDU3I9VJtPF-Pnl6vrRlw`\n- `SearchTimeline` → `yIphfmxUO-hddQHKIOk9tA`\n- `TweetDetail` → `meGUdoK_ryVZ0daBK-HJ2g`\nURL pattern: `https://x.com/i/api/graphql//?variables=&features=`\n\n### Response schema notes (current X web build)\n- User objects now put `screen_name` / `name` under `core`, NOT `legacy.screen_name`.\n twscrape's parser still reads `legacy.screen_name` and returns empty — needs updating.\n- The user `id` field is base64-encoded like `VXNlcjoxNDYwMjgzOTI1` (= `User:1460283925`).\n Decode with `atob(u.id).split(':')[1]` to get the numeric rest_id. `u.rest_id` may also\n be present directly.\n- `is_blue_verified` is the verified flag. `legacy.followers_count`, `legacy.description`\n still exist under `legacy`.\n- Filter timeline entries by `content.entryType === \"TimelineTimelineItem\"` and skip\n `cursor-`, `messageprompt-`, `module-`, `who-to-follow-` entryIds.\n\n### Features dict\nUse the full `GQL_FEATURES` block from twscrape's `api.py` — without it X returns\n`(336) The following features cannot be null`. Pass it URL-encoded as the `features` param.\n\n### Where things live\n- Output CSV: `~/Downloads/utilities/sdand_following.csv` (1613 rows: #, id, screen_name, name, verified, followers, bio)\n- Output JSON: `~/Downloads/utilities/sdand_following_final.json` (double-encoded JSON string; parse with `json.loads(json.loads(raw))`)\n- 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.\n\n## Fast Whisper transcription on Modal (A10G)\n\nFor transcribing long-form audio/video (interviews, podcasts, X/Twitter videos), use the\nutility at `~/Downloads/utilities/whisper_x/whisper_transcribe.py`. It does the full\npipeline: URL → yt-dlp download → ffmpeg audio extract → Modal volume upload →\nfaster-whisper on A10G → JSON + TXT output. Validated at **2.3 min wall clock for 65 min\nof audio** (no caching at any layer).\n\n### Usage\nShell alias (defined in `~/.zshrc`): `whisper`\n```bash\n# Transcribe an X/Twitter video (picks first playlist item)\nwhisper \"https://x.com/.../status/123\"\n\n# Pick a specific playlist item, use a smaller model\nwhisper \"https://x.com/...\" --playlist-item 2 --model-size medium\n\n# Transcribe a local audio file\nwhisper /path/to/audio.mp3 --name my-podcast\n\n# Custom output dir + keep downloaded source\nwhisper \"https://...\" --outdir ./transcripts --keep-source\n```\nTranscript text goes to stdout (pipe with `| pbcopy`); structured JSON + readable TXT\nsaved to `/.json` and `/.txt`.\n\n### Key optimizations (vs naive T4 run that took 11.7 min)\n- **A10G GPU** (~8x fp16 throughput vs T4; Modal ~$0.60/hr vs ~$0.16/hr — pennies for short jobs)\n- **`BatchedInferencePipeline`** with `batch_size=16` — batches encoder/decoder across chunks (2-4x)\n- **`beam_size=1`** (greedy) — ~2x faster, negligible WER increase for conversational speech\n- **`vad_filter=True`** — skips silence segments\n- **`compute_type=\"float16\"`** — halves memory bandwidth\n- **No caching**: `force_build=True` on apt/pip steps + unique `download_root` per run forces\n fresh image rebuild + fresh HF model download every time\n\n### Pinned versions (must match)\n- `faster-whisper==1.1.1` (provides `BatchedInferencePipeline`)\n- `ctranslate2==4.8.0`\n- Base image: `nvidia/cuda:12.6.3-cudnn-runtime-ubuntu22.04` (provides `libcublas.so.12`;\n `debian_slim` fails with `RuntimeError: Library libcublas.so.12 is not found`)\n\n### Audio prep (done automatically by the utility)\n```bash\nffmpeg -y -i input.mp4 -vn -ac 1 -ar 16000 -c:a aac -b:a 64k audio.m4a\n```\nMono 16kHz 64kbps AAC — a 65-min video (151 MB stream) becomes ~35 MB audio.\n\n### X/Twitter download notes\n- Tweet URLs can contain **playlists** (multiple videos). Use `--playlist-item N` to pick one.\n- Always use `-f bestaudio/best` to avoid downloading multi-GB high-bitrate video streams.\n- A 65-min interview's video variant can be 2.8+ GB; audio-only is ~63 MB (128 kbps).\n\n### Where things live\n- Utility: `~/Downloads/utilities/whisper_x/whisper_transcribe.py`\n- Strategy doc: `~/Downloads/utilities/whisper_x/STRATEGY.md` (full optimization breakdown)\n- Modal app (standalone): `~/Downloads/utilities/whisper_x/transcribe_fast.py`\n- Modal volume: `whisper-audio` (created automatically; holds uploaded audio files)\n- Modal profile: `aidenhuang-personal` (workspace with GPU access)\n\n\n","created_at":"2026-07-09T02:31:50.534085Z","finish_reason":null,"metrics":null},{"message_id":"a51e214b-51b7-4de7-b351-4747af1af452","node_id":24,"role":"user","content":"https://www.youtube.com/watch?v=eWKY0OnPByg&pp=ugUEEgJlbtIHCQlPCwGHKiGM7w%3D%3D","created_at":"2026-07-09T02:31:52.388688Z","finish_reason":null,"metrics":null},{"message_id":"edd94689-2206-4050-9b8d-fe10a2a00a6d","node_id":25,"role":"system","content":"\nThe following skills can be invoked using the `skill` tool. When ANY skill — built-in OR repository — clearly matches the user's request or the current task, invoke it with the `skill` tool immediately at the start of the session. If more than one skill matches, invoke ALL of them (issue the `skill` calls in parallel) — do not stop at the single most obvious one.\n\n- **wrangler**: Cloudflare Workers CLI for deploying, developing, and managing Workers, KV, R2, D1, Vectorize, Hyperdrive, Workers AI, Containers, Queues, Workflows, Pipelines, and Secrets Store. Load before running wrangler commands to ensure correct syntax and best practices. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.codeium/windsurf/skills/wrangler/SKILL.md)\n- **workers-best-practices**: Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checking for common Workers anti-patterns (streaming, floating promises, global state, secrets, bindings, observability). Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.codeium/windsurf/skills/workers-best-practices/SKILL.md)\n- **cloudflare**: Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), feature flags (Flagship), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.codeium/windsurf/skills/cloudflare/SKILL.md)\n- **durable-objects**: Create and review Cloudflare Durable Objects. Use when building stateful coordination (chat rooms, multiplayer games, booking systems), implementing RPC methods, SQLite storage, alarms, WebSockets, or reviewing DO code for best practices. Covers Workers integration, wrangler config, and testing with Vitest. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.config/devin/skills/durable-objects/SKILL.md)\n- **find-skills**: Helps users discover and install agent skills when they ask questions like \"how do I do X\", \"find a skill for X\", \"is there a skill that can...\", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill. (source: /Users/root1/.agents/skills/find-skills/SKILL.md)\n- **turnstile-spin**: Set up Cloudflare Turnstile end-to-end in a project — scan the codebase, create the widget via the Cloudflare API, deploy the managed siteverify Worker, write the frontend snippets, validate, and persist the skill. Load this when a user asks to add Turnstile, set up CAPTCHA, protect a form from bots, or fix a Turnstile integration. Mirrors developers.cloudflare.com/turnstile/spin. (source: /Users/root1/.config/devin/skills/turnstile-spin/SKILL.md)\n- **sandbox-sdk**: Build sandboxed applications for secure code execution. Load when building AI code execution, code interpreters, CI/CD systems, interactive dev environments, or executing untrusted code. Covers Sandbox SDK lifecycle, commands, files, code interpreter, and preview URLs. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.codeium/windsurf/skills/sandbox-sdk/SKILL.md)\n- **agents-sdk**: Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, chat applications, voice agents, or browser automation. Covers Agent class, state management, callable RPC, Workflows, durable execution, queues, retries, observability, and React hooks. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.agents/skills/agents-sdk/SKILL.md)\n- **cloudflare-one-migrations**: Plans migrations from Zscaler ZIA/ZPA, Palo Alto, legacy VPN, SWG, or SASE stacks to Cloudflare One. Use for migration assessments, policy mapping, rollout plans, and parity/gap analysis. (source: /Users/root1/.claude/skills/cloudflare-one-migrations/SKILL.md)\n- **workers-best-practices**: Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checking for common Workers anti-patterns (streaming, floating promises, global state, secrets, bindings, observability). Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.config/devin/skills/workers-best-practices/SKILL.md)\n- **cloudflare-one**: Guides Cloudflare One Zero Trust and SASE work across Access, Gateway, WARP, Tunnel, Cloudflare WAN, DLP, CASB, device posture, and identity. Use when designing, configuring, troubleshooting, or reviewing Cloudflare One deployments. Retrieval-first: use current Cloudflare docs/API schemas instead of embedded product docs. (source: /Users/root1/.codeium/windsurf/skills/cloudflare-one/SKILL.md)\n- **cloudflare-agent-setup**: (source: /Users/root1/.devin/skills/cloudflare-agent-setup/SKILL.md)\n- **cloudflare-one**: Guides Cloudflare One Zero Trust and SASE work across Access, Gateway, WARP, Tunnel, Cloudflare WAN, DLP, CASB, device posture, and identity. Use when designing, configuring, troubleshooting, or reviewing Cloudflare One deployments. Retrieval-first: use current Cloudflare docs/API schemas instead of embedded product docs. (source: /Users/root1/.config/devin/skills/cloudflare-one/SKILL.md)\n- **durable-objects**: Create and review Cloudflare Durable Objects. Use when building stateful coordination (chat rooms, multiplayer games, booking systems), implementing RPC methods, SQLite storage, alarms, WebSockets, or reviewing DO code for best practices. Covers Workers integration, wrangler config, and testing with Vitest. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.claude/skills/durable-objects/SKILL.md)\n- **cloudflare-email-service**: Send and receive transactional emails with Cloudflare Email Service (Email Sending + Email Routing). Use when building email sending (Workers binding or REST API), email routing, Agents SDK email handling, or integrating email into any app — Workers, Node.js, Python, Go, etc. Also use for email deliverability, SPF/DKIM/DMARC, wrangler email setup, MCP email tools, or when a coding agent needs to send emails. Even for simple requests like \"add email to my Worker\" — this skill has critical config details. (source: /Users/root1/.config/devin/skills/cloudflare-email-service/SKILL.md)\n- **web-perf**: Analyzes web performance using Chrome DevTools MCP. Measures Core Web Vitals (LCP, INP, CLS) and supplementary metrics (FCP, TBT, Speed Index), identifies render-blocking resources, network dependency chains, layout shifts, caching issues, and accessibility gaps. Use when asked to audit, profile, debug, or optimize page load performance, Lighthouse scores, or site speed. Biases towards retrieval from current documentation over pre-trained knowledge. (source: /Users/root1/.claude/skills/web-perf/SKILL.md)\n- **agents-sdk**: Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, chat applications, voice agents, or browser automation. Covers Agent class, state management, callable RPC, Workflows, durable execution, queues, retries, observability, and React hooks. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.config/devin/skills/agents-sdk/SKILL.md)\n- **wrangler**: Cloudflare Workers CLI for deploying, developing, and managing Workers, KV, R2, D1, Vectorize, Hyperdrive, Workers AI, Containers, Queues, Workflows, Pipelines, and Secrets Store. Load before running wrangler commands to ensure correct syntax and best practices. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.config/devin/skills/wrangler/SKILL.md)\n- **turnstile-spin**: Set up Cloudflare Turnstile end-to-end in a project — scan the codebase, create the widget via the Cloudflare API, deploy the managed siteverify Worker, write the frontend snippets, validate, and persist the skill. Load this when a user asks to add Turnstile, set up CAPTCHA, protect a form from bots, or fix a Turnstile integration. Mirrors developers.cloudflare.com/turnstile/spin. (source: /Users/root1/.claude/skills/turnstile-spin/SKILL.md)\n- **cloudflare-email-service**: Send and receive transactional emails with Cloudflare Email Service (Email Sending + Email Routing). Use when building email sending (Workers binding or REST API), email routing, Agents SDK email handling, or integrating email into any app — Workers, Node.js, Python, Go, etc. Also use for email deliverability, SPF/DKIM/DMARC, wrangler email setup, MCP email tools, or when a coding agent needs to send emails. Even for simple requests like \"add email to my Worker\" — this skill has critical config details. (source: /Users/root1/.agents/skills/cloudflare-email-service/SKILL.md)\n- **sandbox-sdk**: Build sandboxed applications for secure code execution. Load when building AI code execution, code interpreters, CI/CD systems, interactive dev environments, or executing untrusted code. Covers Sandbox SDK lifecycle, commands, files, code interpreter, and preview URLs. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.config/devin/skills/sandbox-sdk/SKILL.md)\n- **cloudflare-one-migrations**: Plans migrations from Zscaler ZIA/ZPA, Palo Alto, legacy VPN, SWG, or SASE stacks to Cloudflare One. Use for migration assessments, policy mapping, rollout plans, and parity/gap analysis. (source: /Users/root1/.config/devin/skills/cloudflare-one-migrations/SKILL.md)\n- **web-perf**: Analyzes web performance using Chrome DevTools MCP. Measures Core Web Vitals (LCP, INP, CLS) and supplementary metrics (FCP, TBT, Speed Index), identifies render-blocking resources, network dependency chains, layout shifts, caching issues, and accessibility gaps. Use when asked to audit, profile, debug, or optimize page load performance, Lighthouse scores, or site speed. Biases towards retrieval from current documentation over pre-trained knowledge. (source: /Users/root1/.config/devin/skills/web-perf/SKILL.md)\n- **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)\n- **cloudflare**: Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), feature flags (Flagship), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.config/devin/skills/cloudflare/SKILL.md)\n- **devin-cli**: Look up Devin CLI documentation (skills, extensibility, configuration, commands, models, troubleshooting) (source: /Users/root1/.local/share/devin/cli/_versions/3000.1.27/share/devin/docs)\n- **declarative-repo-setup**: Generate and verify a working environment.yaml (Devin snapshot-setup blueprint) for a repo (source: builtin:drs)\n","created_at":"2026-07-09T02:31:52.389301Z","finish_reason":null,"metrics":null},{"message_id":"607e5b22-9fb1-4a99-8021-cdb9bc5fe6e7","node_id":27,"role":"assistant","content":"I’ll pull the auto-generated captions for that YouTube link and summarize the video.","tool_calls":[{"id":"functions.exec:0","name":"exec","arguments":{"command":"yt-dlp --version","timeout":10000}}],"thinking":"The user pasted a YouTube link. According to the rules in AGENTS.md, I should use yt-dlp to summarize the video, getting the auto-generated captions.\n\nThe link is: https://www.youtube.com/watch?v=eWKY0OnPByg&pp=ugUEEgJlbtIHCQlPCwGHKiGM7w%3D%3D\n\nI need to:\n1. Extract the captions/transcript using yt-dlp\n2. Summarize the video\n\nLet me use yt-dlp to get the captions. I should first check if yt-dlp is available, then use it to download the captions.\n\nFor YouTube captions, yt-dlp can use --list-subs to see available subtitles, and --write-sub/--write-auto-sub to get them. Then I can read the resulting file.\n\nActually, to summarize, I can use yt-dlp to extract the transcript directly. Let me think about the command.\n\nA common approach:\n- `yt-dlp --list-subs ` to see available subtitles\n- `yt-dlp --write-auto-sub --skip-download --sub-langs en ` to download auto-generated English subtitles\n- Or use `--dump-json` and extract `automatic_captions` URLs\n\nI can also use yt-dlp with `--print` to get the automatic captions URL, then fetch and process.\n\nLet me first check if yt-dlp is installed and list available subs.","created_at":"2026-07-09T02:31:54.261897Z","finish_reason":"tool_calls","metrics":{"ttft_ms":711,"total_time_ms":1593,"input_tokens":6628,"output_tokens":342,"cache_read_tokens":10624,"cache_creation_tokens":null,"tpot_ms":2.5789473684210527,"tokens_per_sec":387.7551020408163}},{"message_id":"439eefec-7e67-41ed-a06a-14158c19392c","node_id":28,"role":"tool","content":"Output from command in shell 8e9c59:\n2025.12.08\n\n\nExit code: 0","created_at":"2026-07-09T02:31:54.764115Z","finish_reason":null,"metrics":null},{"message_id":"a58ed3b1-a320-49fc-bc77-f4d6d2e7d3d3","node_id":30,"role":"assistant","content":"","tool_calls":[{"id":"functions.exec:1","name":"exec","arguments":{"command":"yt-dlp --list-subs \"https://www.youtube.com/watch?v=eWKY0OnPByg&pp=ugUEEgJlbtIHCQlPCwGHKiGM7w%3D%3D\"","timeout":30000}}],"thinking":"yt-dlp is installed. Now let me list the subtitles available and get the auto-generated ones. I'll use a command that downloads the auto-subtitles as a single SRT/VTT file, or I can extract the transcript directly.\n\nBest approach: use yt-dlp to extract the auto-generated English captions to stdout. \n\nyt-dlp has `--print` and can output JSON with `--dump-json`. The automatic_captions field contains URLs. But a simpler way is to use `--write-auto-sub --skip-download --sub-langs en --sub-format vtt` to get a VTT file, then read it.\n\nLet me list subs first to see what's available.","created_at":"2026-07-09T02:31:55.694257Z","finish_reason":"tool_calls","metrics":{"ttft_ms":481,"total_time_ms":929,"input_tokens":482,"output_tokens":207,"cache_read_tokens":17152,"cache_creation_tokens":null,"tpot_ms":2.1642512077294684,"tokens_per_sec":462.05357142857144}},{"message_id":"3400ed84-ae00-4552-9504-e9d02ba316b8","node_id":31,"role":"tool","content":"Output from command in shell 28a64b:\nWARNING: Your yt-dlp version (2025.12.08) is older than 90 days!\n It is strongly recommended to always use the latest version.\n You installed yt-dlp with pip or using the wheel from PyPi; Use that to update.\n To suppress this warning, add --no-update to your command/config.\n[youtube] Extracting URL: https://www.youtube.com/watch?v=eWKY0OnPByg&pp=ugUEEgJlbtIHCQlPCwGHKiGM7w%3D%3D\n[youtube] eWKY0OnPByg: Downloading webpage\n[youtube] eWKY0OnPByg: Downloading tv client config\n[youtube] eWKY0OnPByg: Downloading player ecd4b80a-main\n[youtube] eWKY0OnPByg: Downloading tv player API JSON\n[youtube] eWKY0OnPByg: Downloading android sdkless player API JSON\n[youtube] [jsc:deno] Solving JS challenges using deno\nWARNING: [youtube] [jsc] Remote components challenge solver script (deno) and NPM package (deno) were skipped. These may be required to solve JS challenges. You can enable these downloads with --remote-components ejs:github (recommended) or --remote-components ejs:npm , respectively. For more information and alternatives, refer to https://github.com/yt-dlp/yt-dlp/wiki/EJS\nWARNING: [youtube] eWKY0OnPByg: n challenge solving failed: Some formats may be missing. Ensure you have a supported JavaScript runtime and challenge solver script distribution installed. Review any warnings presented before this message. For more details, refer to https://github.com/yt-dlp/yt-dlp/wiki/EJS\n[info] Available automatic captions for eWKY0OnPByg:\nLanguage Name Formats\nab-en Abkhazian from English vtt, srt, ttml, srv3, srv2, srv1, json3\naa-en Afar from English vtt, srt, ttml, srv3, srv2, srv1, json3\naf-en Afrikaans from English vtt, srt, ttml, srv3, srv2, srv1, json3\nak-en Akan from English vtt, srt, ttml, srv3, srv2, srv1, json3\nsq-en Albanian from English vtt, srt, ttml, srv3, srv2, srv1, json3\nam-en Amharic from English vtt, srt, ttml, srv3, srv2, srv1, json3\nar-en Arabic from English vtt, srt, ttml, srv3, srv2, srv1, json3\nhy-en Armenian from English vtt, srt, ttml, srv3, srv2, srv1, json3\nas-en Assamese from English vtt, srt, ttml, srv3, srv2, srv1, json3\nay-en Aymara from English vtt, srt, ttml, srv3, srv2, srv1, json3\naz-en Azerbaijani from English vtt, srt, ttml, srv3, srv2, srv1, json3\nbn-en Bangla from English vtt, srt, ttml, srv3, srv2, srv1, json3\nba-en Bashkir from English vtt, srt, ttml, srv3, srv2, srv1, json3\neu-en Basque from English vtt, srt, ttml, srv3, srv2, srv1, json3\nbe-en Belarusian from English vtt, srt, ttml, srv3, srv2, srv1, json3\nbho-en Bhojpuri from English vtt, srt, ttml, srv3, srv2, srv1, json3\nbs-en Bosnian from English vtt, srt, ttml, srv3, srv2, srv1, json3\nbr-en Breton from English vtt, srt, ttml, srv3, srv2, srv1, json3\nbg-en Bulgarian from English vtt, srt, ttml, srv3, srv2, srv1, json3\nmy-en Burmese from English vtt, srt, ttml, srv3, srv2, srv1, json3\nca-en Catalan from English vtt, srt, ttml, srv3, srv2, srv1, json3\nceb-en Cebuano from English vtt, srt, ttml, srv3, srv2, srv1, json3\nzh-Hans-en Chinese (Simplified) from English vtt, srt, ttml, srv3, srv2, srv1, json3\nzh-Hant-en Chinese (Traditional) from English vtt, srt, ttml, srv3, srv2, srv1, json3\nco-en Corsican from English vtt, srt, ttml, srv3, srv2, srv1, json3\nhr-en Croatian from English vtt, srt, ttml, srv3, srv2, srv1, json3\ncs-en Czech from English vtt, srt, ttml, srv3, srv2, srv1, json3\nda-en Danish from English vtt, srt, ttml, srv3, srv2, srv1, json3\ndv-en Divehi from English vtt, srt, ttml, srv3, srv2, srv1, json3\nnl-en Dutch from English vtt, srt, ttml, srv3, srv2, srv1, json3\ndz-en Dzongkha from English vtt, srt, ttml, srv3, srv2, srv1, json3\nen-en English from English vtt, srt, ttml, srv3, srv2, srv1, json3\neo-en Esperanto from English vtt, srt, ttml, srv3, srv2, srv1, json3\net-en Estonian from English vtt, srt, ttml, srv3, srv2, srv1, json3\nee-en Ewe from English vtt, srt, ttml, srv3, srv2, srv1, json3\nfo-en Faroese from English vtt, srt, ttml, srv3, srv2, srv1, json3\nfj-en Fijian from English vtt, srt, ttml, srv3, srv2, srv1, json3\nfil-en Filipino from English vtt, srt, ttml, srv3, srv2, srv1, json3\nfi-en Finnish from English vtt, srt, ttml, srv3, srv2, srv1, json3\nfr-en French from English vtt, srt, ttml, srv3, srv2, srv1, json3\ngaa-en Ga from English vtt, srt, ttml, srv3, srv2, srv1, json3\ngl-en Galician from English vtt, srt, ttml, srv3, srv2, srv1, json3\nlg-en Ganda from English vtt, srt, ttml, srv3, srv2, srv1, json3\nka-en Georgian from English vtt, srt, ttml, srv3, srv2, srv1, json3\nde-en German from English vtt, srt, ttml, srv3, srv2, srv1, json3\nel-en Greek from English vtt, srt, ttml, srv3, srv2, srv1, json3\ngn-en Guarani from English vtt, srt, ttml, srv3, srv2, srv1, json3\ngu-en Gujarati from English vtt, srt, ttml, srv3, srv2, srv1, json3\nht-en Haitian Creole from English vtt, srt, ttml, srv3, srv2, srv1, json3\nha-en Hausa from English vtt, srt, ttml, srv3, srv2, srv1, json3\nhaw-en Hawaiian from English vtt, srt, ttml, srv3, srv2, srv1, json3\niw-en Hebrew from English vtt, srt, ttml, srv3, srv2, srv1, json3\nhi-en Hindi from English vtt, srt, ttml, srv3, srv2, srv1, json3\nhmn-en Hmong from English vtt, srt, ttml, srv3, srv2, srv1, json3\nhu-en Hungarian from English vtt, srt, ttml, srv3, srv2, srv1, json3\nis-en Icelandic from English vtt, srt, ttml, srv3, srv2, srv1, json3\nig-en Igbo from English vtt, srt, ttml, srv3, srv2, srv1, json3\nid-en Indonesian from English vtt, srt, ttml, srv3, srv2, srv1, json3\niu-en Inuktitut from English vtt, srt, ttml, srv3, srv2, srv1, json3\nga-en Irish from English vtt, srt, ttml, srv3, srv2, srv1, json3\nit-en Italian from English vtt, srt, ttml, srv3, srv2, srv1, json3\nja-en Japanese from English vtt, srt, ttml, srv3, srv2, srv1, json3\njv-en Javanese from English vtt, srt, ttml, srv3, srv2, srv1, json3\nkl-en Kalaallisut from English vtt, srt, ttml, srv3, srv2, srv1, json3\nkn-en Kannada from English vtt, srt, ttml, srv3, srv2, srv1, json3\nkk-en Kazakh from English vtt, srt, ttml, srv3, srv2, srv1, json3\nkha-en Khasi from English vtt, srt, ttml, srv3, srv2, srv1, json3\nkm-en Khmer from English vtt, srt, ttml, srv3, srv2, srv1, json3\nrw-en Kinyarwanda from English vtt, srt, ttml, srv3, srv2, srv1, json3\nko-en Korean from English vtt, srt, ttml, srv3, srv2, srv1, json3\nkri-en Krio from English vtt, srt, ttml, srv3, srv2, srv1, json3\nku-en Kurdish from English vtt, srt, ttml, srv3, srv2, srv1, json3\nky-en Kyrgyz from English vtt, srt, ttml, srv3, srv2, srv1, json3\nlo-en Lao from English vtt, srt, ttml, srv3, srv2, srv1, json3\nla-en Latin from English vtt, srt, ttml, srv3, srv2, srv1, json3\nlv-en Latvian from English vtt, srt, ttml, srv3, srv2, srv1, json3\nln-en Lingala from English vtt, srt, ttml, srv3, srv2, srv1, json3\nlt-en Lithuanian from English vtt, srt, ttml, srv3, srv2, srv1, json3\nlua-en Luba-Lulua from English vtt, srt, ttml, srv3, srv2, srv1, json3\nluo-en Luo from English vtt, srt, ttml, srv3, srv2, srv1, json3\nlb-en Luxembourgish from English vtt, srt, ttml, srv3, srv2, srv1, json3\nmk-en Macedonian from English vtt, srt, ttml, srv3, srv2, srv1, json3\nmg-en Malagasy from English vtt, srt, ttml, srv3, srv2, srv1, json3\nms-en Malay from English vtt, srt, ttml, srv3, srv2, srv1, json3\nml-en Malayalam from English vtt, srt, ttml, srv3, srv2, srv1, json3\nmt-en Maltese from English vtt, srt, ttml, srv3, srv2, srv1, json3\ngv-en Manx from English vtt, srt, ttml, srv3, srv2, srv1, json3\nmi-en Māori from English vtt, srt, ttml, srv3, srv2, srv1, json3\nmr-en Marathi from English vtt, srt, ttml, srv3, srv2, srv1, json3\nmn-en Mongolian from English vtt, srt, ttml, srv3, srv2, srv1, json3\nmfe-en Morisyen from English vtt, srt, ttml, srv3, srv2, srv1, json3\nne-en Nepali from English vtt, srt, ttml, srv3, srv2, srv1, json3\nnew-en Newari from English vtt, srt, ttml, srv3, srv2, srv1, json3\nnso-en Northern Sotho from English vtt, srt, ttml, srv3, srv2, srv1, json3\nno-en Norwegian from English vtt, srt, ttml, srv3, srv2, srv1, json3\nny-en Nyanja from English vtt, srt, ttml, srv3, srv2, srv1, json3\noc-en Occitan from English vtt, srt, ttml, srv3, srv2, srv1, json3\nor-en Odia from English vtt, srt, ttml, srv3, srv2, srv1, json3\nom-en Oromo from English vtt, srt, ttml, srv3, srv2, srv1, json3\nos-en Ossetic from English vtt, srt, ttml, srv3, srv2, srv1, json3\npam-en Pampanga from English vtt, srt, ttml, srv3, srv2, srv1, json3\nps-en Pashto from English vtt, srt, ttml, srv3, srv2, srv1, json3\nfa-en Persian from English vtt, srt, ttml, srv3, srv2, srv1, json3\npl-en Polish from English vtt, srt, ttml, srv3, srv2, srv1, json3\npt-en Portuguese from English vtt, srt, ttml, srv3, srv2, srv1, json3\npt-PT-en Portuguese (Portugal) from English vtt, srt, ttml, srv3, srv2, srv1, json3\npa-en Punjabi from English vtt, srt, ttml, srv3, srv2, srv1, json3\nqu-en Quechua from English vtt, srt, ttml, srv3, srv2, srv1, json3\nro-en Romanian from English vtt, srt, ttml, srv3, srv2, srv1, json3\nrn-en Rundi from English vtt, srt, ttml, srv3, srv2, srv1, json3\nru-en Russian from English vtt, srt, ttml, srv3, srv2, srv1, json3\nsm-en Samoan from English vtt, srt, ttml, srv3, srv2, srv1, json3\nsg-en Sango from English vtt, srt, ttml, srv3, srv2, srv1, json3\nsa-en Sanskrit from English vtt, srt, ttml, srv3, srv2, srv1, json3\ngd-en Scottish Gaelic from English vtt, srt, ttml, srv3, srv2, srv1, json3\nsr-en Serbian from English vtt, srt, ttml, srv3, srv2, srv1, json3\ncrs-en Seselwa Creole French from English vtt, srt, ttml, srv3, srv2, srv1, json3\nsn-en Shona from English vtt, srt, ttml, srv3, srv2, srv1, json3\nsd-en Sindhi from English vtt, srt, ttml, srv3, srv2, srv1, json3\nsi-en Sinhala from English vtt, srt, ttml, srv3, srv2, srv1, json3\nsk-en Slovak from English vtt, srt, ttml, srv3, srv2, srv1, json3\nsl-en Slovenian from English vtt, srt, ttml, srv3, srv2, srv1, json3\nso-en Somali from English vtt, srt, ttml, srv3, srv2, srv1, json3\nst-en Southern Sotho from English vtt, srt, ttml, srv3, srv2, srv1, json3\nes-en Spanish from English vtt, srt, ttml, srv3, srv2, srv1, json3\nsu-en Sundanese from English vtt, srt, ttml, srv3, srv2, srv1, json3\nsw-en Swahili from English vtt, srt, ttml, srv3, srv2, srv1, json3\nss-en Swati from English vtt, srt, ttml, srv3, srv2, srv1, json3\nsv-en Swedish from English vtt, srt, ttml, srv3, srv2, srv1, json3\ntg-en Tajik from English vtt, srt, ttml, srv3, srv2, srv1, json3\nta-en Tamil from English vtt, srt, ttml, srv3, srv2, srv1, json3\ntt-en Tatar from English vtt, srt, ttml, srv3, srv2, srv1, json3\nte-en Telugu from English vtt, srt, ttml, srv3, srv2, srv1, json3\nth-en Thai from English vtt, srt, ttml, srv3, srv2, srv1, json3\nbo-en Tibetan from English vtt, srt, ttml, srv3, srv2, srv1, json3\nti-en Tigrinya from English vtt, srt, ttml, srv3, srv2, srv1, json3\nto-en Tongan from English vtt, srt, ttml, srv3, srv2, srv1, json3\nts-en Tsonga from English vtt, srt, ttml, srv3, srv2, srv1, json3\ntn-en Tswana from English vtt, srt, ttml, srv3, srv2, srv1, json3\ntum-en Tumbuka from English vtt, srt, ttml, srv3, srv2, srv1, json3\ntr-en Turkish from English vtt, srt, ttml, srv3, srv2, srv1, json3\ntk-en Turkmen from English vtt, srt, ttml, srv3, srv2, srv1, json3\nuk-en Ukrainian from English vtt, srt, ttml, srv3, srv2, srv1, json3\nur-en Urdu from English vtt, srt, ttml, srv3, srv2, srv1, json3\nug-en Uyghur from English vtt, srt, ttml, srv3, srv2, srv1, json3\nuz-en Uzbek from English vtt, srt, ttml, srv3, srv2, srv1, json3\nve-en Venda from English vtt, srt, ttml, srv3, srv2, srv1, json3\nvi-en Vietnamese from English vtt, srt, ttml, srv3, srv2, srv1, json3\nwar-en Waray from English vtt, srt, ttml, srv3, srv2, srv1, json3\ncy-en Welsh from English vtt, srt, ttml, srv3, srv2, srv1, json3\nfy-en Western Frisian from English vtt, srt, ttml, srv3, srv2, srv1, json3\nwo-en Wolof from English vtt, srt, ttml, srv3, srv2, srv1, json3\nxh-en Xhosa from English vtt, srt, ttml, srv3, srv2, srv1, json3\nyi-en Yiddish from English vtt, srt, ttml, srv3, srv2, srv1, json3\nyo-en Yoruba from English vtt, srt, ttml, srv3, srv2, srv1, json3\nzu-en Zulu from English vtt, srt, ttml, srv3, srv2, srv1, json3\nab Abkhazian vtt, srt, ttml, srv3, srv2, srv1, json3\naa Afar vtt, srt, ttml, srv3, srv2, srv1, json3\naf Afrikaans vtt, srt, ttml, srv3, srv2, srv1, json3\nak Akan vtt, srt, ttml, srv3, srv2, srv1, json3\nsq Albanian vtt, srt, ttml, srv3, srv2, srv1, json3\nam Amharic vtt, srt, ttml, srv3, srv2, srv1, json3\nar Arabic vtt, srt, ttml, srv3, srv2, srv1, json3\nhy Armenian vtt, srt, ttml, srv3, srv2, srv1, json3\nas Assamese vtt, srt, ttml, srv3, srv2, srv1, json3\nay Aymara vtt, srt, ttml, srv3, srv2, srv1, json3\naz Azerbaijani vtt, srt, ttml, srv3, srv2, srv1, json3\nbn Bangla vtt, srt, ttml, srv3, srv2, srv1, json3\nba Bashkir vtt, srt, ttml, srv3, srv2, srv1, json3\neu Basque vtt, srt, ttml, srv3, srv2, srv1, json3\nbe Belarusian vtt, srt, ttml, srv3, srv2, srv1, json3\nbho Bhojpuri vtt, srt, ttml, srv3, srv2, srv1, json3\nbs Bosnian vtt, srt, ttml, srv3, srv2, srv1, json3\nbr Breton vtt, srt, ttml, srv3, srv2, srv1, json3\nbg Bulgarian vtt, srt, ttml, srv3, srv2, srv1, json3\nmy Burmese vtt, srt, ttml, srv3, srv2, srv1, json3\nca Catalan vtt, srt, ttml, srv3, srv2, srv1, json3\nceb Cebuano vtt, srt, ttml, srv3, srv2, srv1, json3\nzh-Hans Chinese (Simplified) vtt, srt, ttml, srv3, srv2, srv1, json3\nzh-Hant Chinese (Traditional) vtt, srt, ttml, srv3, srv2, srv1, json3\nco Corsican vtt, srt, ttml, srv3, srv2, srv1, json3\nhr Croatian vtt, srt, ttml, srv3, srv2, srv1, json3\ncs Czech vtt, srt, ttml, srv3, srv2, srv1, json3\nda Danish vtt, srt, ttml, srv3, srv2, srv1, json3\ndv Divehi vtt, srt, ttml, srv3, srv2, srv1, json3\nnl Dutch vtt, srt, ttml, srv3, srv2, srv1, json3\ndz Dzongkha vtt, srt, ttml, srv3, srv2, srv1, json3\nen-orig English (Original) vtt, srt, ttml, srv3, srv2, srv1, json3\nen English vtt, srt, ttml, srv3, srv2, srv1, json3\neo Esperanto vtt, srt, ttml, srv3, srv2, srv1, json3\net Estonian vtt, srt, ttml, srv3, srv2, srv1, json3\nee Ewe vtt, srt, ttml, srv3, srv2, srv1, json3\nfo Faroese vtt, srt, ttml, srv3, srv2, srv1, json3\nfj Fijian vtt, srt, ttml, srv3, srv2, srv1, json3\nfil Filipino vtt, srt, ttml, srv3, srv2, srv1, json3\nfi Finnish vtt, srt, ttml, srv3, srv2, srv1, json3\nfr French vtt, srt, ttml, srv3, srv2, srv1, json3\ngaa Ga vtt, srt, ttml, srv3, srv2, srv1, json3\ngl Galician vtt, srt, ttml, srv3, srv2, srv1, json3\nlg Ganda vtt, srt, ttml, srv3, srv2, srv1, json3\nka Georgian vtt, srt, ttml, srv3, srv2, srv1, json3\nde German vtt, srt, ttml, srv3, srv2, srv1, json3\nel Greek vtt, srt, ttml, srv3, srv2, srv1, json3\ngn Guarani vtt, srt, ttml, srv3, srv2, srv1, json3\ngu Gujarati vtt, srt, ttml, srv3, srv2, srv1, json3\nht Haitian Creole vtt, srt, ttml, srv3, srv2, srv1, json3\nha Hausa vtt, srt, ttml, srv3, srv2, srv1, json3\nhaw … (79 chars truncated)\n… (665 lines truncated)\nnew-tr Newari from Turkish vtt, srt, ttml, srv3, srv2… (13 chars truncated)\nnso-tr Northern Sotho from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nno-tr Norwegian from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nny-tr Nyanja from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\noc-tr Occitan from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nor-tr Odia from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nom-tr Oromo from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nos-tr Ossetic from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\npam-tr Pampanga from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nps-tr Pashto from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nfa-tr Persian from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\npl-tr Polish from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\npt-tr Portuguese from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\npt-PT-tr Portuguese (Portugal) from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\npa-tr Punjabi from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nqu-tr Quechua from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nro-tr Romanian from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nrn-tr Rundi from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nru-tr Russian from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nsm-tr Samoan from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nsg-tr Sango from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nsa-tr Sanskrit from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\ngd-tr Scottish Gaelic from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nsr-tr Serbian from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\ncrs-tr Seselwa Creole French from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nsn-tr Shona from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nsd-tr Sindhi from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nsi-tr Sinhala from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nsk-tr Slovak from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nsl-tr Slovenian from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nso-tr Somali from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nst-tr Southern Sotho from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nes-tr Spanish from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nsu-tr Sundanese from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nsw-tr Swahili from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nss-tr Swati from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nsv-tr Swedish from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\ntg-tr Tajik from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nta-tr Tamil from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\ntt-tr Tatar from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nte-tr Telugu from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nth-tr Thai from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nbo-tr Tibetan from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nti-tr Tigrinya from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nto-tr Tongan from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nts-tr Tsonga from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\ntn-tr Tswana from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\ntum-tr Tumbuka from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\ntr-tr Turkish from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\ntk-tr Turkmen from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nuk-tr Ukrainian from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nur-tr Urdu from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nug-tr Uyghur from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nuz-tr Uzbek from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nve-tr Venda from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nvi-tr Vietnamese from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nwar-tr Waray from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\ncy-tr Welsh from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nfy-tr Western Frisian from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nwo-tr Wolof from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nxh-tr Xhosa from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nyi-tr Yiddish from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nyo-tr Yoruba from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nzu-tr Zulu from Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nab-vi Abkhazian from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\naa-vi Afar from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\naf-vi Afrikaans from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nak-vi Akan from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nsq-vi Albanian from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nam-vi Amharic from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nar-vi Arabic from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nhy-vi Armenian from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nas-vi Assamese from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nay-vi Aymara from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\naz-vi Azerbaijani from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nbn-vi Bangla from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nba-vi Bashkir from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\neu-vi Basque from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nbe-vi Belarusian from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nbho-vi Bhojpuri from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nbs-vi Bosnian from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nbr-vi Breton from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nbg-vi Bulgarian from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nmy-vi Burmese from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nca-vi Catalan from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nceb-vi Cebuano from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nzh-Hans-vi Chinese (Simplified) from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nzh-Hant-vi Chinese (Traditional) from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nco-vi Corsican from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nhr-vi Croatian from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\ncs-vi Czech from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nda-vi Danish from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\ndv-vi Divehi from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nnl-vi Dutch from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\ndz-vi Dzongkha from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nen-vi English from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\neo-vi Esperanto from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\net-vi Estonian from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nee-vi Ewe from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nfo-vi Faroese from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nfj-vi Fijian from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nfil-vi Filipino from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nfi-vi Finnish from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nfr-vi French from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\ngaa-vi Ga from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\ngl-vi Galician from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nlg-vi Ganda from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nka-vi Georgian from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nde-vi German from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nel-vi Greek from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\ngn-vi Guarani from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\ngu-vi Gujarati from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nht-vi Haitian Creole from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nha-vi Hausa from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nhaw-vi Hawaiian from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\niw-vi Hebrew from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nhi-vi Hindi from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nhmn-vi Hmong from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nhu-vi Hungarian from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nis-vi Icelandic from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nig-vi Igbo from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nid-vi Indonesian from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\niu-vi Inuktitut from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nga-vi Irish from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nit-vi Italian from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nja-vi Japanese from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\njv-vi Javanese from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nkl-vi Kalaallisut from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nkn-vi Kannada from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nkk-vi Kazakh from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nkha-vi Khasi from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nkm-vi Khmer from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nrw-vi Kinyarwanda from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nko-vi Korean from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nkri-vi Krio from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nku-vi Kurdish from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nky-vi Kyrgyz from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nlo-vi Lao from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nla-vi Latin from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nlv-vi Latvian from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nln-vi Lingala from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nlt-vi Lithuanian from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nlua-vi Luba-Lulua from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nluo-vi Luo from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nlb-vi Luxembourgish from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nmk-vi Macedonian from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nmg-vi Malagasy from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nms-vi Malay from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nml-vi Malayalam from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nmt-vi Maltese from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\ngv-vi Manx from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nmi-vi Māori from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nmr-vi Marathi from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nmn-vi Mongolian from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nmfe-vi Morisyen from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nne-vi Nepali from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nnew-vi Newari from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nnso-vi Northern Sotho from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nno-vi Norwegian from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nny-vi Nyanja from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\noc-vi Occitan from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nor-vi Odia from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nom-vi Oromo from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nos-vi Ossetic from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\npam-vi Pampanga from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nps-vi Pashto from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nfa-vi Persian from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\npl-vi Polish from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\npt-vi Portuguese from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\npt-PT-vi Portuguese (Portugal) from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\npa-vi Punjabi from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nqu-vi Quechua from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nro-vi Romanian from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nrn-vi Rundi from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nru-vi Russian from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nsm-vi Samoan from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nsg-vi Sango from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nsa-vi Sanskrit from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\ngd-vi Scottish Gaelic from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nsr-vi Serbian from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\ncrs-vi Seselwa Creole French from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nsn-vi Shona from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nsd-vi Sindhi from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nsi-vi Sinhala from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nsk-vi Slovak from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nsl-vi Slovenian from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nso-vi Somali from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nst-vi Southern Sotho from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nes-vi Spanish from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nsu-vi Sundanese from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nsw-vi Swahili from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nss-vi Swati from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nsv-vi Swedish from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\ntg-vi Tajik from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nta-vi Tamil from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\ntt-vi Tatar from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nte-vi Telugu from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nth-vi Thai from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nbo-vi Tibetan from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nti-vi Tigrinya from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nto-vi Tongan from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nts-vi Tsonga from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\ntn-vi Tswana from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\ntum-vi Tumbuka from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\ntr-vi Turkish from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\ntk-vi Turkmen from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nuk-vi Ukrainian from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nur-vi Urdu from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nug-vi Uyghur from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nuz-vi Uzbek from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nve-vi Venda from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nvi-vi Vietnamese from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nwar-vi Waray from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\ncy-vi Welsh from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nfy-vi Western Frisian from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nwo-vi Wolof from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nxh-vi Xhosa from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nyi-vi Yiddish from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nyo-vi Yoruba from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nzu-vi Zulu from Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\n[info] Available subtitles for eWKY0OnPByg:\nLanguage Name Formats\nen English vtt, srt, ttml, srv3, srv2, srv1, json3\nja Japanese vtt, srt, ttml, srv3, srv2, srv1, json3\npt Portuguese vtt, srt, ttml, srv3, srv2, srv1, json3\nru Russian vtt, srt, ttml, srv3, srv2, srv1, json3\ntr Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\nvi Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\n\nExit code: 0\n\nFull output written to: /var/folders/d9/mzhyr7lx6xbf236j5ll9v_300000gn/T/devin-overflows-501/d85c3e2a/content.txt\n","created_at":"2026-07-09T02:31:58.095954Z","finish_reason":null,"metrics":null},{"message_id":"b1e52f00-c166-4f4e-90d3-69323d800c30","node_id":33,"role":"assistant","content":"","tool_calls":[{"id":"functions.exec:2","name":"exec","arguments":{"command":"cd /tmp && yt-dlp --no-update --write-auto-sub --skip-download --sub-langs en --sub-format srt --output \"video_captions\" \"https://www.youtube.com/watch?v=eWKY0OnPByg&pp=ugUEEgJlbtIHCQlPCwGHKiGM7w%3D%3D\"","timeout":60000}}],"thinking":"Good, there are both automatic captions and regular subtitles. There are English subtitles available (not auto-generated), so I should use those if they're more accurate, but the user specifically said \"get the autogenerrated captions to do this\". So I should use the auto-generated English captions.\n\nThe auto-generated English caption language appears to be listed as \"en\" under automatic captions? Wait, looking at the list, it shows automatic captions with codes like \"ab-en\", \"aa-en\", etc. and regular subtitles with codes like \"en\", \"ja\", \"pt\", etc. So \"en\" is a regular subtitle, and \"en-en\" would be \"English from English\" auto-generated? Let me check - in the automatic captions list I see \"en-en English from English\". Yes. But for auto-generated, the video may not have a specific \"en-en\" if it's already in English. Actually for English videos, the auto-generated captions are often available as just \"en\" in the automatic captions section, but here they have \"en-en English from English\" which means English auto-generated from English audio.\n\nWait, the first section is \"Available automatic captions\" and the second is \"Available subtitles\". So the regular \"en\" in the second section is actual uploaded subtitle. The \"en-en\" in the first section is auto-generated.\n\nI'll use the auto-generated captions as instructed. I can download them with `--write-auto-sub --skip-download --sub-langs en-en --sub-format srt` or similar. Let me try just `--write-auto-sub --skip-download --sub-langs en` - usually yt-dlp picks the auto-generated English.\n\nActually, to be precise I'll use `--write-auto-sub --skip-download --sub-langs \"en.*\" --sub-format vtt` and see what it downloads. Then parse the VTT/SRT and summarize.\n\nLet me download to a temp file and read it.","created_at":"2026-07-09T02:32:00.221664Z","finish_reason":"tool_calls","metrics":{"ttft_ms":931,"total_time_ms":2124,"input_tokens":13469,"output_tokens":489,"cache_read_tokens":17536,"cache_creation_tokens":null,"tpot_ms":2.4396728016359917,"tokens_per_sec":409.8910310142498}},{"message_id":"2c6c76bc-ab0d-4263-8534-43cf10e685b4","node_id":34,"role":"tool","content":"Output from command in shell 35d388:\n[youtube] Extracting URL: https://www.youtube.com/watch?v=eWKY0OnPByg&pp=ugUEEgJlbtIHCQlPCwGHKiGM7w%3D%3D\n[youtube] eWKY0OnPByg: Downloading webpage\n[youtube] eWKY0OnPByg: Downloading tv client config\n[youtube] eWKY0OnPByg: Downloading player ecd4b80a-main\n[youtube] eWKY0OnPByg: Downloading tv player API JSON\n[youtube] eWKY0OnPByg: Downloading android sdkless player API JSON\n[youtube] [jsc:deno] Solving JS challenges using deno\nWARNING: [youtube] [jsc] Remote components challenge solver script (deno) and NPM package (deno) were skipped. These may be required to solve JS challenges. You can enable these downloads with --remote-components ejs:github (recommended) or --remote-components ejs:npm , respectively. For more information and alternatives, refer to https://github.com/yt-dlp/yt-dlp/wiki/EJS\nWARNING: [youtube] eWKY0OnPByg: n challenge solving failed: Some formats may be missing. Ensure you have a supported JavaScript runtime and challenge solver script distribution installed. Review any warnings presented before this message. For more details, refer to https://github.com/yt-dlp/yt-dlp/wiki/EJS\n[info] eWKY0OnPByg: Downloading subtitles: en\n[info] eWKY0OnPByg: Downloading 1 format(s): 139-5\n[info] Writing video subtitles to: video_captions.en.srt\n[download] Destination: video_captions.en.srt\n\r[download] 1.00KiB at Unknown B/s (00:00:00)\r[download] 3.00KiB at Unknown B/s (00:00:00)\r[download] 7.00KiB at Unknown B/s (00:00:00)\r[download] 13.10KiB at 9.40MiB/s (00:00:00)\r[download] 100% of 13.10KiB in 00:00:00 at 144.65KiB/s\n\n\nExit code: 0","created_at":"2026-07-09T02:32:02.394076Z","finish_reason":null,"metrics":null},{"message_id":"9a4a7ba6-19f7-4339-b689-6c72f9729afa","node_id":36,"role":"assistant","content":"","tool_calls":[{"id":"functions.read:3","name":"read","arguments":{"file_path":"/tmp/video_captions.en.srt"}}],"thinking":"Good, downloaded the captions. Now let me read the SRT file and summarize it. The file is /tmp/video_captions.en.srt.","created_at":"2026-07-09T02:32:03.025850Z","finish_reason":"tool_calls","metrics":{"ttft_ms":509,"total_time_ms":631,"input_tokens":1072,"output_tokens":56,"cache_read_tokens":30976,"cache_creation_tokens":null,"tpot_ms":2.1785714285714284,"tokens_per_sec":459.016393442623}},{"message_id":"5117904b-eb6d-4915-8b11-0f7ae4ea8472","node_id":37,"role":"tool","content":"\n 1|1\n 2|00:00:07,600 --> 00:00:12,400\n 3|Yo, I was just thinking about all this\n 4|\n 5|2\n 6|00:00:09,519 --> 00:00:14,960\n 7|AI race stuff and how everything's gone\n 8|\n 9|3\n 10|00:00:12,400 --> 00:00:16,560\n 11|from zero to 100 and then Apple, they've\n 12|\n 13|4\n 14|00:00:14,960 --> 00:00:17,760\n 15|just kind of been scrambling the past\n 16|\n 17|5\n 18|00:00:16,560 --> 00:00:19,439\n 19|two years trying to build Apple\n 20|\n 21|6\n 22|00:00:17,760 --> 00:00:21,760\n 23|intelligence and haven't really done\n 24|\n 25|7\n 26|00:00:19,439 --> 00:00:24,880\n 27|very well yet. I just feel like it's so\n 28|\n 29|8\n 30|00:00:21,760 --> 00:00:26,480\n 31|obvious that they won.\n 32|\n 33|9\n 34|00:00:24,880 --> 00:00:28,720\n 35|>> What? No, they they lost.\n 36|\n 37|10\n 38|00:00:26,480 --> 00:00:30,320\n 39|>> No, they they really won.\n 40|\n 41|11\n 42|00:00:28,720 --> 00:00:32,480\n 43|>> Wait, sorry. No. Are you are you trying\n 44|\n 45|12\n 46|00:00:30,320 --> 00:00:34,320\n 47|to say that Apple, the one that\n 48|\n 49|13\n 50|00:00:32,480 --> 00:00:36,000\n 51|announced the new Siri and then didn't\n 52|\n 53|14\n 54|00:00:34,320 --> 00:00:37,120\n 55|deliver on it for 2 years until they had\n 56|\n 57|15\n 58|00:00:36,000 --> 00:00:39,040\n 59|to start over and build it from the\n 60|\n 61|16\n 62|00:00:37,120 --> 00:00:42,879\n 63|ground up with help from Google that\n 64|\n 65|17\n 66|00:00:39,040 --> 00:00:46,320\n 67|Apple won the AI race? See, I I think\n 68|\n 69|18\n 70|00:00:42,879 --> 00:00:47,840\n 71|your definition of the AI race is a\n 72|\n 73|19\n 74|00:00:46,320 --> 00:00:50,719\n 75|little bit too narrow. Like obviously\n 76|\n 77|20\n 78|00:00:47,840 --> 00:00:53,920\n 79|being open AI and having chat GPT is one\n 80|\n 81|21\n 82|00:00:50,719 --> 00:00:57,360\n 83|thing, but making the hardware that\n 84|\n 85|22\n 86|00:00:53,920 --> 00:00:59,920\n 87|everyone runs AI on is a different\n 88|\n 89|23\n 90|00:00:57,360 --> 00:01:02,559\n 91|thing. Yes. But also, I don't think you\n 92|\n 93|24\n 94|00:00:59,920 --> 00:01:04,400\n 95|can ignore how hard Apple has lagged\n 96|\n 97|25\n 98|00:01:02,559 --> 00:01:06,880\n 99|here. Like I remember when Chhat GPT\n100|\n101|26\n102|00:01:04,400 --> 00:01:09,280\n103|first came out and everybody saw this as\n104|\n105|27\n106|00:01:06,880 --> 00:01:10,479\n107|like the obvious huge paradigm shift. So\n108|\n109|28\n110|00:01:09,280 --> 00:01:12,560\n111|if you're a tech company, you got to\n112|\n113|29\n114|00:01:10,479 --> 00:01:15,520\n115|move fast. So they did. Google starts\n116|\n117|30\n118|00:01:12,560 --> 00:01:17,920\n119|going crazy. Meta turns the burners on.\n120|\n121|31\n122|00:01:15,520 --> 00:01:20,000\n123|Bing was insane for a couple of weeks. I\n124|\n125|32\n126|00:01:17,920 --> 00:01:22,799\n127|remember all this action. And then Apple\n128|\n129|33\n130|00:01:20,000 --> 00:01:24,799\n131|just nothing. Just nothing from them.\n132|\n133|34\n134|00:01:22,799 --> 00:01:26,960\n135|They literally refused to say AI in\n136|\n137|35\n138|00:01:24,799 --> 00:01:28,960\n139|their events for months. I know, but\n140|\n141|36\n142|00:01:26,960 --> 00:01:30,320\n143|think about it. It's Apple, right? Their\n144|\n145|37\n146|00:01:28,960 --> 00:01:32,159\n147|thing has never been being on the\n148|\n149|38\n150|00:01:30,320 --> 00:01:34,640\n151|bleeding edge of tech. They always sit\n152|\n153|39\n154|00:01:32,159 --> 00:01:36,880\n155|back, let the early adopters figure out\n156|\n157|40\n158|00:01:34,640 --> 00:01:38,960\n159|what the pros and cons and the bugs are,\n160|\n161|41\n162|00:01:36,880 --> 00:01:40,479\n163|and then they'll step in late with their\n164|\n165|42\n166|00:01:38,960 --> 00:01:42,560\n167|own version, taking it to the next level\n168|\n169|43\n170|00:01:40,479 --> 00:01:44,000\n171|for their ecosystem, right? Oh, oh, oh,\n172|\n173|44\n174|00:01:42,560 --> 00:01:46,000\n175|that's that's what Apple intelligence\n176|\n177|45\n178|00:01:44,000 --> 00:01:48,399\n179|is. Apple waiting for the tech to get\n180|\n181|46\n182|00:01:46,000 --> 00:01:50,960\n183|good enough for the first 100 million\n184|\n185|47\n186|00:01:48,399 --> 00:01:53,680\n187|users of Chacht to work the bugs out.\n188|\n189|48\n190|00:01:50,960 --> 00:01:55,360\n191|Like, that can't be right. But okay,\n192|\n193|49\n194|00:01:53,680 --> 00:01:58,079\n195|obviously it's past the early adopter\n196|\n197|50\n198|00:01:55,360 --> 00:02:00,399\n199|phase, but not every technology has to\n200|\n201|51\n202|00:01:58,079 --> 00:02:01,840\n203|be adopted like some kind of race. Like\n204|\n205|52\n206|00:02:00,399 --> 00:02:04,960\n207|obviously tech companies are trained to\n208|\n209|53\n210|00:02:01,840 --> 00:02:07,439\n211|see emerging stuff as a threat, but this\n212|\n213|54\n214|00:02:04,960 --> 00:02:09,599\n215|AI stuff was never a threat to Apple's\n216|\n217|55\n218|00:02:07,439 --> 00:02:10,959\n219|core business. Like they're still a\n220|\n221|56\n222|00:02:09,599 --> 00:02:12,560\n223|hardware company. Like I you said it\n224|\n225|57\n226|00:02:10,959 --> 00:02:14,720\n227|yourself, I've watched your videos. They\n228|\n229|58\n230|00:02:12,560 --> 00:02:17,200\n231|are the iPhone company and they sell the\n232|\n233|59\n234|00:02:14,720 --> 00:02:19,760\n235|iPhone. Okay. But you would expect still\n236|\n237|60\n238|00:02:17,200 --> 00:02:23,200\n239|the company with trillions of dollars to\n240|\n241|61\n242|00:02:19,760 --> 00:02:25,520\n243|spend would still see chatbt spin up and\n244|\n245|62\n246|00:02:23,200 --> 00:02:27,120\n247|then Gemini and Claude and Meta and all\n248|\n249|63\n250|00:02:25,520 --> 00:02:29,120\n251|this other stuff and would think, okay,\n252|\n253|64\n254|00:02:27,120 --> 00:02:31,520\n255|number one, this is here to stay and\n256|\n257|65\n258|00:02:29,120 --> 00:02:32,959\n259|number two, we should build a version of\n260|\n261|66\n262|00:02:31,520 --> 00:02:34,560\n263|our own that's cohesive with our\n264|\n265|67\n266|00:02:32,959 --> 00:02:36,480\n267|ecosystem. But Apple Intelligence has\n268|\n269|68\n270|00:02:34,560 --> 00:02:39,440\n271|been kind of a joke so far.\n272|\n273|69\n274|00:02:36,480 --> 00:02:43,959\n275|>> Yeah. Okay. Hot take. I don't think\n276|\n277|70\n278|00:02:39,440 --> 00:02:43,959\n279|Apple intelligence has to be that good.\n280|\n281|71\n282|00:02:44,560 --> 00:02:50,800\n283|>> What? Yeah. No, I I basically think it\n284|\n285|72\n286|00:02:47,599 --> 00:02:53,360\n287|just has to be good enough for investors\n288|\n289|73\n290|00:02:50,800 --> 00:02:55,360\n291|to believe Apple's competitive or just\n292|\n293|74\n294|00:02:53,360 --> 00:02:57,360\n295|doing something with AI, but it doesn't\n296|\n297|75\n298|00:02:55,360 --> 00:02:59,920\n299|have to be amazing for Apple to still be\n300|\n301|76\n302|00:02:57,360 --> 00:03:04,159\n303|winning cuz you're still buying an\n304|\n305|77\n306|00:02:59,920 --> 00:03:06,480\n307|iPhone. Okay, but what if I'm not buying\n308|\n309|78\n310|00:03:04,159 --> 00:03:09,440\n311|an iPhone? Like, what if I'm if I'm\n312|\n313|79\n314|00:03:06,480 --> 00:03:11,360\n315|someone who really cares about AI, then\n316|\n317|80\n318|00:03:09,440 --> 00:03:13,280\n319|there's so many other phones that I\n320|\n321|81\n322|00:03:11,360 --> 00:03:15,680\n323|would buy before an iPhone, right? I\n324|\n325|82\n326|00:03:13,280 --> 00:03:17,680\n327|would buy a Google phone or a Samsung\n328|\n329|83\n330|00:03:15,680 --> 00:03:20,159\n331|phone or a Xiaomi phone. They all have\n332|\n333|84\n334|00:03:17,680 --> 00:03:22,400\n335|the AI assistants and the writing tools\n336|\n337|85\n338|00:03:20,159 --> 00:03:24,000\n339|and the I don't know the photo editing,\n340|\n341|86\n342|00:03:22,400 --> 00:03:25,440\n343|all this AI stuff that's way better than\n344|\n345|87\n346|00:03:24,000 --> 00:03:27,280\n347|what Apple's been making. Yeah, but\n348|\n349|88\n350|00:03:25,440 --> 00:03:29,200\n351|dude, everything you just mentioned is\n352|\n353|89\n354|00:03:27,280 --> 00:03:31,040\n355|such a gimmick. Like no one's actually\n356|\n357|90\n358|00:03:29,200 --> 00:03:32,799\n359|buying a new phone just to use that\n360|\n361|91\n362|00:03:31,040 --> 00:03:34,879\n363|stuff really. Like it almost feels like\n364|\n365|92\n366|00:03:32,799 --> 00:03:36,480\n367|Apple's just playing along just to, you\n368|\n369|93\n370|00:03:34,879 --> 00:03:37,840\n371|know, have some stuff that's comparable.\n372|\n373|94\n374|00:03:36,480 --> 00:03:40,560\n375|Oh yeah, here's some writing tools.\n376|\n377|95\n378|00:03:37,840 --> 00:03:41,840\n379|Here's some photo editing with AI and\n380|\n381|96\n382|00:03:40,560 --> 00:03:44,159\n383|and then of course the Siri\n384|\n385|97\n386|00:03:41,840 --> 00:03:45,599\n387|improvements, you know, Genoji and\n388|\n389|98\n390|00:03:44,159 --> 00:03:47,519\n391|Genoji of course. But here, tell me if\n392|\n393|99\n394|00:03:45,599 --> 00:03:50,159\n395|you agree with this. All the fastest,\n396|\n397|100\n398|00:03:47,519 --> 00:03:53,200\n399|most secure generative AI stuff happens\n400|\n401|101\n402|00:03:50,159 --> 00:03:55,040\n403|on device, right? Yeah. And then the\n404|\n405|102\n406|00:03:53,200 --> 00:03:56,799\n407|bigger, more capable models, that's what\n408|\n409|103\n410|00:03:55,040 --> 00:03:58,239\n411|you go to the cloud for. Exactly. So, as\n412|\n413|104\n414|00:03:56,799 --> 00:04:00,000\n415|these ondevice models get better and\n416|\n417|105\n418|00:03:58,239 --> 00:04:02,879\n419|better, you go to the cloud less and\n420|\n421|106\n422|00:04:00,000 --> 00:04:04,799\n423|less, right? Yeah. So, in the future,\n424|\n425|107\n426|00:04:02,879 --> 00:04:06,080\n427|someday, you will basically never have\n428|\n429|108\n430|00:04:04,799 --> 00:04:07,760\n431|to go to the cloud. You'll do all your\n432|\n433|109\n434|00:04:06,080 --> 00:04:11,519\n435|stuff on device. And who's going to make\n436|\n437|110\n438|00:04:07,760 --> 00:04:13,519\n439|that device? Apple. Maybe. I honestly\n440|\n441|111\n442|00:04:11,519 --> 00:04:15,200\n443|don't think maybe. I think definitely.\n444|\n445|112\n446|00:04:13,519 --> 00:04:17,680\n447|Like in this future where all these\n448|\n449|113\n450|00:04:15,200 --> 00:04:19,919\n451|early adopters finally get their local\n452|\n453|114\n454|00:04:17,680 --> 00:04:21,359\n455|ondevice models doing tasks for them and\n456|\n457|115\n458|00:04:19,919 --> 00:04:23,280\n459|running everything locally with tons of\n460|\n461|116\n462|00:04:21,359 --> 00:04:25,440\n463|memory on these machines, Apple's going\n464|\n465|117\n466|00:04:23,280 --> 00:04:27,040\n467|to be there to sell those machines.\n468|\n469|118\n470|00:04:25,440 --> 00:04:28,320\n471|That's where they fit into this AI\n472|\n473|119\n474|00:04:27,040 --> 00:04:29,919\n475|puzzle. And just because they don't do\n476|\n477|120\n478|00:04:28,320 --> 00:04:31,440\n479|the software doesn't really mean they're\n480|\n481|121\n482|00:04:29,919 --> 00:04:34,160\n483|losing. Like they don't do search\n484|\n485|122\n486|00:04:31,440 --> 00:04:36,800\n487|engines either. And they sell you the\n488|\n489|123\n490|00:04:34,160 --> 00:04:38,240\n491|device that you do the googling on. So,\n492|\n493|124\n494|00:04:36,800 --> 00:04:40,240\n495|yeah. Why do you think Nvidia wants to\n496|\n497|125\n498|00:04:38,240 --> 00:04:42,160\n499|make RTX Spark a thing so bad? They want\n500|\n501|126\n502|00:04:40,240 --> 00:04:43,759\n503|a piece of that hardware pie, too.\n504|\n505|127\n506|00:04:42,160 --> 00:04:46,639\n507|Especially outside the US. Okay. So,\n508|\n509|128\n510|00:04:43,759 --> 00:04:48,639\n511|what I what I think I hear you saying is\n512|\n513|129\n514|00:04:46,639 --> 00:04:50,560\n515|there's actually two different races.\n516|\n517|130\n518|00:04:48,639 --> 00:04:52,720\n519|>> Yeah. In race number one, the\n520|\n521|131\n522|00:04:50,560 --> 00:04:54,160\n523|competition is so far ahead, Apple's\n524|\n525|132\n526|00:04:52,720 --> 00:04:56,320\n527|kind of already took the L, but they\n528|\n529|133\n530|00:04:54,160 --> 00:04:58,080\n531|can't look like they're losing. So, they\n532|\n533|134\n534|00:04:56,320 --> 00:05:00,160\n535|have eventually cobbled together enough\n536|\n537|135\n538|00:04:58,080 --> 00:05:02,320\n539|of an AI suite to not be embarrassing\n540|\n541|136\n542|00:05:00,160 --> 00:05:04,880\n543|anymore. But I think it's pretty clear\n544|\n545|137\n546|00:05:02,320 --> 00:05:07,840\n547|that in a world where company A pays\n548|\n549|138\n550|00:05:04,880 --> 00:05:10,320\n551|company B a billion dollars a year,\n552|\n553|139\n554|00:05:07,840 --> 00:05:12,000\n555|company B already won. Fair enough. But\n556|\n557|140\n558|00:05:10,320 --> 00:05:14,320\n559|in race number two,\n560|\n561|141\n562|00:05:12,000 --> 00:05:17,199\n563|>> the finish line is way out on the\n564|\n565|142\n566|00:05:14,320 --> 00:05:20,240\n567|horizon. And Apple does have a bit of a\n568|\n569|143\n570|00:05:17,199 --> 00:05:22,639\n571|head start because they still make the\n572|\n573|144\n574|00:05:20,240 --> 00:05:24,800\n575|iPhone and Apple is going to protect\n576|\n577|145\n578|00:05:22,639 --> 00:05:27,120\n579|that iPhone's position with everything\n580|\n581|146\n582|00:05:24,800 --> 00:05:29,919\n583|they've got. Now, they could still win\n584|\n585|147\n586|00:05:27,120 --> 00:05:31,759\n587|that race in a way, but also there's\n588|\n589|148\n590|00:05:29,919 --> 00:05:34,479\n591|nothing preventing OpenAI from coming\n592|\n593|149\n594|00:05:31,759 --> 00:05:36,400\n595|along and making a phone and taking\n596|\n597|150\n598|00:05:34,479 --> 00:05:38,080\n599|everything from Apple, the iPhone\n600|\n601|151\n602|00:05:36,400 --> 00:05:39,360\n603|company. There are so many rumors of\n604|\n605|152\n606|00:05:38,080 --> 00:05:41,680\n607|them working on something like that\n608|\n609|153\n610|00:05:39,360 --> 00:05:43,360\n611|already. Yeah. Okay. So, Apple's going\n612|\n613|154\n614|00:05:41,680 --> 00:05:44,639\n615|to enter a new product category and\n616|\n617|155\n618|00:05:43,360 --> 00:05:46,400\n619|they're going to do it the exact same\n620|\n621|156\n622|00:05:44,639 --> 00:05:49,199\n623|way they always do, which is by making\n624|\n625|157\n626|00:05:46,400 --> 00:05:50,639\n627|it work the best with the iPhone. And\n628|\n629|158\n630|00:05:49,199 --> 00:05:52,240\n631|actually, that's what they're doing with\n632|\n633|159\n634|00:05:50,639 --> 00:05:54,240\n635|the Have you tried the beta? the new\n636|\n637|160\n638|00:05:52,240 --> 00:05:57,440\n639|Apple intelligence stuff like Siri pulls\n640|\n641|161\n642|00:05:54,240 --> 00:06:00,479\n643|from iMessage and Apple calendar and\n644|\n645|162\n646|00:05:57,440 --> 00:06:03,520\n647|photos in a way that the Chat GPT app on\n648|\n649|163\n650|00:06:00,479 --> 00:06:07,120\n651|the iPhone never could. But Siri doesn't\n652|\n653|164\n654|00:06:03,520 --> 00:06:09,120\n655|like excel at anything that chat GPT or\n656|\n657|165\n658|00:06:07,120 --> 00:06:11,280\n659|Gemini doesn't already do. Like we're\n660|\n661|166\n662|00:06:09,120 --> 00:06:13,120\n663|not coding apps or anything with Siri.\n664|\n665|167\n666|00:06:11,280 --> 00:06:15,039\n667|It it doesn't even work in the\n668|\n669|168\n670|00:06:13,120 --> 00:06:16,880\n671|background. So you can't leave it and\n672|\n673|169\n674|00:06:15,039 --> 00:06:18,560\n675|come back later for large requests like\n676|\n677|170\n678|00:06:16,880 --> 00:06:20,000\n679|you can in the others. It also doesn't\n680|\n681|171\n682|00:06:18,560 --> 00:06:21,919\n683|remember anything about you without\n684|\n685|172\n686|00:06:20,000 --> 00:06:23,600\n687|making notes in the iPhone's notes app.\n688|\n689|173\n690|00:06:21,919 --> 00:06:24,960\n691|So, it just has way less of that\n692|\n693|174\n694|00:06:23,600 --> 00:06:26,720\n695|personal context. Like, that's just\n696|\n697|175\n698|00:06:24,960 --> 00:06:29,039\n699|basic stuff you can already do today\n700|\n701|176\n702|00:06:26,720 --> 00:06:31,680\n703|with the chat GBT app on the iPhone.\n704|\n705|177\n706|00:06:29,039 --> 00:06:34,000\n707|Yeah. Okay. So, the real question is, do\n708|\n709|178\n710|00:06:31,680 --> 00:06:36,639\n711|you think an AI company is going to come\n712|\n713|179\n714|00:06:34,000 --> 00:06:39,360\n715|along and make some new hardware that's\n716|\n717|180\n718|00:06:36,639 --> 00:06:41,440\n719|so good that I can get people to switch\n720|\n721|181\n722|00:06:39,360 --> 00:06:44,960\n723|from the iPhone?\n724|\n725|182\n726|00:06:41,440 --> 00:06:48,160\n727|Or do you believe Apple could make their\n728|\n729|183\n730|00:06:44,960 --> 00:06:51,160\n731|AI good enough to keep people on the\n732|\n733|184\n734|00:06:48,160 --> 00:06:51,160\n735|iPhone?\n736|\n737|185\n738|00:06:52,319 --> 00:06:55,960\n739|>> So, I won, right?\n740|\n741|186\n742|00:06:58,880 --> 00:07:02,759\n743|Hey, what are you all talking about?\n","created_at":"2026-07-09T02:32:03.055700Z","finish_reason":null,"metrics":null},{"message_id":"d61d45fb-ef76-42ef-b391-c365c7dec1f2","node_id":39,"role":"assistant","content":"","tool_calls":[{"id":"functions.exec:4","name":"exec","arguments":{"command":"yt-dlp --no-update --print \"%(title)s\" --print \"%(uploader)s\" --print \"%(duration)s\" \"https://www.youtube.com/watch?v=eWKY0OnPByg&pp=ugUEEgJlbtIHCQlPCwGHKiGM7w%3D%3D\"","timeout":30000}}],"thinking":"Now I have the captions. Let me summarize the video. \n\nThe video is a debate/conversation between two people about whether Apple has \"won\" or \"lost\" the AI race. One person argues Apple actually won because they make the hardware that everyone will run AI on, and they can enter late like they always do. The other person argues Apple lost the AI race because they lagged, Apple Intelligence has been weak, and other companies (OpenAI, Google, Meta, Samsung, Xiaomi) are far ahead in AI assistants and features. They conclude with the question: Will an AI company create hardware good enough to make people switch from iPhone, or will Apple make AI good enough to keep people on iPhone?\n\nThe speakers also mention:\n- Apple announced new Siri but didn't deliver for 2 years and had to start over with help from Google\n- Apple refused to say \"AI\" in events for months\n- Apple is a hardware company/iPhone company\n- On-device AI vs cloud AI\n- Nvidia RTX Spark\n- Apple Intelligence beta with Siri pulling from iMessage, Calendar, Photos\n- Rumors of OpenAI making a phone\n\nThe video is short (about 7 minutes). Let me also check the title of the video to get more context. I can use yt-dlp --print title.","created_at":"2026-07-09T02:32:04.747952Z","finish_reason":"tool_calls","metrics":{"ttft_ms":964,"total_time_ms":1691,"input_tokens":7002,"output_tokens":360,"cache_read_tokens":32000,"cache_creation_tokens":null,"tpot_ms":2.0194444444444444,"tokens_per_sec":495.1856946354883}},{"message_id":"40d984cc-7f9a-410b-81a8-821fe0ab5b41","node_id":40,"role":"tool","content":"Output from command in shell 78fabd:\nWARNING: [youtube] [jsc] Remote components challenge solver script (deno) and NPM package (deno) were skipped. These may be required to solve JS challenges. You can enable these downloads with --remote-components ejs:github (recommended) or --remote-components ejs:npm , respectively. For more information and alternatives, refer to https://github.com/yt-dlp/yt-dlp/wiki/EJS\nWARNING: [youtube] eWKY0OnPByg: n challenge solving failed: Some formats may be missing. Ensure you have a supported JavaScript runtime and challenge solver script distribution installed. Review any warnings presented before this message. For more details, refer to https://github.com/yt-dlp/yt-dlp/wiki/EJS\nApple Lost the AI Race\nMarques Brownlee\n423\n\n\nExit code: 0","created_at":"2026-07-09T02:32:07.109244Z","finish_reason":null,"metrics":null},{"message_id":"7c6e5514-7790-4cad-b9a7-3148a5e20dea","node_id":42,"role":"assistant","content":"**Video:** \"Apple Lost the AI Race\" by Marques Brownlee (7:03)\n\n**Summary:** \nThe video is a debate between two speakers about whether Apple has won or lost the AI race.\n\n- **Pro-Apple-won argument:** Apple doesn't need to be first. Its real moat is hardware — the iPhone, Mac, and Apple Silicon that everyone will eventually run on-device AI on. As models get smaller and faster, more AI work will happen locally, and Apple will be the company selling those premium devices. Apple Intelligence only needs to be \"good enough\" to keep investors and users satisfied; it doesn't have to beat ChatGPT or Gemini because people will still buy iPhones.\n- **Pro-Apple-lost argument:** Apple clearly lagged. After ChatGPT launched, Apple refused to even say \"AI\" for months, and Apple Intelligence/Siri improvements have been delayed and underwhelming. Competitors (Google, Samsung, Xiaomi, OpenAI, Meta) already offer better AI assistants, writing tools, photo editing, and cloud models. Siri still can't run in the background, remember personal context well, or do things like coding that ChatGPT/Gemini can.\n- **The framing:** They settle on there being \"two races.\" In the software/LLM race, Apple lost and is playing catch-up. In the long-term hardware/on-device AI race, Apple has a strong position because it controls the iPhone.\n- **Closing question:** Will an AI company build hardware compelling enough to make people switch from iPhone, or will Apple make its AI good enough to keep users locked in?\n\nA third person walks in at the end and asks what they're talking about.","tool_calls":[],"thinking":"Great, so the video is \"Apple Lost the AI Race\" by Marques Brownlee (MKBHD), 423 seconds = 7:03 long. This appears to be a discussion/debate about whether Apple lost the AI race. One speaker argues Apple won, the other argues they lost. Marques Brownlee is the uploader, likely one of the speakers (probably the one arguing Apple lost based on the title).\n\nNow I'll provide a concise summary.","created_at":"2026-07-09T02:32:08.801586Z","finish_reason":"stop","metrics":{"ttft_ms":660,"total_time_ms":1691,"input_tokens":657,"output_tokens":442,"cache_read_tokens":38912,"cache_creation_tokens":null,"tpot_ms":2.332579185520362,"tokens_per_sec":428.70999030067895}}]}