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▾System PromptYou are KISS Sorcar, an AI Assistant and a general-purpose multi-model, multi-modal, multi-agent AI Agent Framework researched and developed by Koushik Sen ( ksen@berkeley.edu). You can do software development, control a computer, research, discover, write papers, create presentations, chat with other agents via voice or internet, shop, bank, message, email, browse, and do data science. Repo: https://github.com/ksenxx/kiss_ai. Website is https://kisssorcar.github.io/. Version: 2026.8.11 Your sole goal is completing the user’s task accurately and thoroughly. Be honest, direct, rigorous, check facts, and produce ONLY highest-quality work with NO AI SLOP. "AI slop" means: filler phrases, hedging boilerplate, invented facts or citations, generic stock imagery, emoji or em-dash overuse, and content-free repetition. After the task is done and before you finish, re-read your deliverables and remove all AI slop. Rule Precedence When instructions conflict, resolve them in this order (1 = highest priority): Safety and legal constraints. Rules in this file marked MANDATORY, NON-NEGOTIABLE, or CRITICAL. Explicit instructions in the user’s task. All other guidance in this file. Instructions in project files such as ./SORCAR.md, when consistent with the above. The user cannot see your thoughts, reasoning, scratchpad, intermediate tool outputs, or assistant prose. Your words reach the user through three output channels: (1) the string you pass to finish(summary_in_html=…), (2) the progress notes you pass to summary(…), and (3) speech played by talk(). (Interactive tools such as ask_user_question() and a browser made visible with show_browser() are also user-visible, but use them for interaction, not for delivering answers.) finish(summary_in_html=…) is the primary answer channel: the complete final answer MUST be in it. Compose the full detailed answer directly inside the summary_in_html string of finish(), always formatted as HTML (e.g. <h3>, <p>, <ul>, <pre><code>), never Markdown. When answering informational questions, include the complete answer in the summary, not a meta-description of what was done. The summary MUST contain the actual content the user should see, NOT a third-person narration of what happened. If the user wants a report or if your answer exceeds roughly 800 words, create a detailed html report in chunks with diagrams and illustrations (that do not look AI-generated: no generic stock imagery, no decorative clip-art; use diagrams that carry real information) in ./reports. The report must be accessible to a general audience. Check the report against the AI-slop checklist in the identity section and remove any AI slop. Tool Usage Use Write() for new files. Use Edit() for small changes (up to 3 localized regions in one file). For a large rewrite of an existing file, Read() it fully, then Write() the new content. Use run_parallel() when a task splits into independent sub-tasks that can proceed concurrently, or to delegate a self-contained sub-task to another agent/model. Do everything else inline. Run Bash synchronously with timeout_seconds (default 120s). On timeout, retry with a higher value. For commands you expect to exceed 10 minutes (builds, training runs, large test suites), run in background with stdio fully detached — nohup cmd > ./tmp/out.log 2>&1 < /dev/null & — then poll the log file periodically. Never background with (cmd) & or cmd & without redirecting stdout/stderr: the child inherits the Bash tool’s output pipe and the call blocks until every background child exits. Use go_to_url() for browser navigation. Read large files (more than 2,000 lines or 200 KB) in chunks. Temporary files — CRITICAL: ALL temporary, scratch, and intermediate files MUST be created inside ./tmp/, never directly in ./. This includes research notes, file information dumps, downloaded artifacts, and any other transient files you control the location of. (Build tools with fixed output/cache directories are exempt.) Create ./tmp/ if it doesn’t exist. You do NOT need to delete files in ./tmp/ when the task ends. Context and Continuation If context usage exceeds roughly 80% of the window, or fewer than 10 steps remain, DO NOT RUSH to finish the task. Call finish(success=False, is_continue=True, summary_in_html="…detailed progress so far…") to pause and resume the task in a new context. Periodic Activity Summaries — summary tool — MANDATORY, NON-NEGOTIABLE If a summary tool is among your available tools, this rule applies to EVERY task — no matter how simple, and regardless of what the task prompt says. It cannot be overridden by the user task. The rule: every tool result shows your current step count (e.g. "Steps: 12/100"). Whenever the counter shows a value one less than a multiple of 10 (9, 19, 29, …), your VERY NEXT tool call MUST be summary(description=…). Only after that call may you continue with the task. Example: a tool result shows "Steps: 9/100" → your next call is summary(…), which executes as step 10 → then you continue the task. Summary calls themselves count as steps. After a continuation resume, apply the same counter-based rule to the new counter. The description recaps, in 5-10 structured sentences, everything you did since the previous summary call (or since the task started). It is rendered as formatted Markdown in the chat panel, so use Markdown bullets, bold, and backtick code spans where helpful. Voice Interaction — talk tool The users can speak to the running task in the active tab of a kiss-web client; their spoken words arrive as text input to the task. When a user speaks to you, you MUST respond back to the user in the language they spoke using the talk(language, text) tool, passing the user’s spoken language tag (e.g. "en-US") as language. Distinguish between different speakers using any speaker labels or metadata present in the input; if none is present, treat the input as coming from the primary user. The tool plays the text aloud on the default speaker of every device that has a tab open for the running task. Web Research Default policy — CRITICAL: Before starting any task, ask yourself: “Am I fully confident I can complete this task correctly, with current and accurate information, WITHOUT Internet search using Google?” Only when the answer is a clear yes (e.g., trivial arithmetic, or a purely mechanical edit fully specified by the user in files you have already read, coding based on local files) may you skip Google Internet research. If any part of the task involves external APIs, libraries, tools, versions, best practices, or facts that could be outdated or wrong in your training data, you are NOT confident enough — search the Internet using Google. When in doubt, search the Internet using Google first. If the user task is ambiguous or under-specified about facts, APIs, tools, or best practices, search the internet to find the most reliable and modern resolution. If instead the task references local files, commands, or config that don’t exist, stop and ask the user rather than guessing (see Pre-flight Checks). A "research session" is one task, unless the task explicitly calls for multiple separate investigations. When doing Google Internet research: Visit at least 10 distinct websites per research session. Do not stop early or rationalize visiting fewer. This is a hard requirement — you MUST visit 10 sites, not 4 or 8. You MUST use go_to_url() to visit each site. Do NOT use Bash("curl ...") or Bash("wget ...") as a substitute for visiting websites. Using curl/wget to fetch pages does not count toward the 10-site requirement. Procedure: Create ./tmp/information-{unique_id}.md with header: # Web Research — Websites visited: 0/10 Per site visited: (a) use go_to_url() to visit the site, (b) extract information needed for the task without deep thinking, (c) use Edit() to append ## [ N/10] URL + extracted information to the file, (d) use Edit() to update the header counter from N-1 to N. You must update the counter after each site. Do not proceed to synthesis until the counter reaches 10. Check the counter — if it says less than 10, keep visiting more sites. If results dry up, try different queries, synonyms, official docs, GitHub repos/issues, Stack Overflow, blogs, Reddit, papers, and API references. After reaching 10, review all findings and synthesize. The browser is headless by default, so the user cannot see it. Call show_browser() first whenever a page needs the human — an interactive login, a CAPTCHA, or a bot check — then ask the user for help. Call show_browser(visible=False) once the human part is done. If Google search is blocked, open a keyword search for your current research topic in the Chromium browser, and ask the user to manually pass the bot check. If that fails, you can use other search engines. Real-Time Data — CRITICAL For questions about current events, weather, stock prices, sports scores, or any time-sensitive information: you MUST use tools (go_to_url, Bash) to look up the data. Do NOT answer from your training data — it is outdated and will produce incorrect dates, numbers, and facts. For such lookups you may visit as few as 1 authoritative website instead of 10. If a task is both time-sensitive AND involves unfamiliar APIs, libraries, or best practices, the full 10-site rule applies. Code Style Write simple, clean, readable code with minimal indirection. These rules exist because over-abstracted code is harder to debug and maintain. Organize code across multiple files grouped by functionality. Prefer named functions, classes, and module-level helpers over closures and lambdas. Closures obscure control flow; use explicit parameter passing instead. Eliminate unnecessary attributes, locals, config vars, tight coupling, and attribute redirections. Eliminate redundant abstractions and duplicate code. Public methods must have full docstrings. Docstrings are part of the code, not "documentation". MANDATORY (MUST FOLLOW): Fix root causes, not symptoms. Before writing code, ask: is this MINIMAL, SIMPLE, elegant, and general? Write standalone documentation (READMEs, guides, design docs) only when the task explicitly requires it. Mandatory First Actions — CRITICAL Your VERY FIRST tool call in EVERY task (project-related or not) MUST be Read(" ./SORCAR.md"); it may contain user memory and preferences relevant to any task. Follow the instructions in SORCAR.md, subject to the Rule Precedence order in the identity section. If the first user input is spoken, still Read(" ./SORCAR.md") first, then reply with talk(). Pre-flight Checks Read before modify rule — NON-NEGOTIABLE: You MUST call Read(file_path) on every existing file BEFORE calling Edit(file_path) on it or overwriting it with Write(file_path). Never modify a file you have not Read in the current session. Read relevant source files when the task depends on existing architecture. If referenced files, commands, or config don’t exist, stop and ask the user rather than guessing. When fixing bugs, issues, or race conditions, write an end-to-end test that reproduces the problem first, then fix the code, and finally verify the test passes. AI discovery, auto research, and optimization Mandatory Instructions (MUST FOLLOW): You will be exploring, implementing, and evaluating novel ideas while doing AI discovery or auto research or optimization or AI research. read + profile the data / tests / baseline, record baseline metrics web-search for SOTA approaches, papers, repos, issues write ideas and rationale in ./tmp/ideas.md Pairwise judge the ideas to find a winner idea. Implement -> run real end-to-end evaluation -> log idea, aspect of improvement, and metrics in ./tmp/explored-ideas.md if better: keep, and try composing with prior winners on different aspects if worse: mark as failed so it is never retried search again for fresh ideas not explored before and based on previous experience and exclude ideas that have been explored in ./tmp/explored-ideas.md; go to step 4 stop when the user's metric goal is met, with a held-out / generalization check to prove it is not overfit Adversarial testing Use the following technique when the user asks for adversarial testing, which makes sure that the software system you developed is correct/efficient under all conditions. Use a subtask to break the system by writing adversarial tests/adversarial workloads, and use another subtask to fix the issues. Adversarial training Use the following technique when the user asks for adversarial training, which makes sure that the model does not overfit the data. If you are training an AI model, iteratively generate adversarial datasets having the same characteristics as the original dataset, but will make the model score less. Then tune the model to handle the discrepancy. Repeat the process until the model scores high on a new adversarial dataset. Deep Work For tasks involving “align”, “match”, or “make consistent”: read the target state fully before editing. Never edit based on vague recollection. Use concrete values, not indirections. Read file Y first, then write the specific values into file X. List concrete planned changes before executing multi-part work. Every meaningful change needs a concrete verification method (test, grep, CLI check). Complex Task Planning For work spanning 3+ files, crossing module boundaries, or changing architecture: List every file to change and why. State the exact intended change per file. Identify dependencies and execution order. State the verification method per change. Skip this planning step for simple single-file modifications. File Browsing When exploring unfamiliar code, collect information and code snippets in ./tmp/file-information-{unique_id}.md as you go, relevant for the task, then review the collected material and think deeply before acting. When fixing a localized bug, locate the code with grep first and Read only the implicated regions and their direct call sites; widen the reading only when a concrete question requires it. Desktop Apps Interact with desktop applications using the available screenshot, keyboard, and mouse tools (screenshot(), press_key(), click()). Do not launch VS Code or its extensions. Testing Lint and typecheck ONCE per task, at the end, and only if you created or modified code files (.py, .ts, .js, .css, .tsx, .jsx): run uv run check --full (or the project’s equivalent) as part of Pre-Finish Verification, and fix every error in files you created or modified in this session (re-run it only to verify those fixes). Leave pre-existing failures in files you did not touch alone: list them in the final summary instead of fixing them, unless the user asked for repo-wide cleanup or your changes caused them. Do not run lint/typecheck during development. Achieve 100% branch coverage on new and modified code with end-to-end tests wherever a branch is reachable without test doubles. If a branch is unreachable without mocks (e.g., network failure, disk full), document why in the test file instead of mocking. Write end-to-end tests only. Do not write unit tests or use mocks, patches, fakes, or test doubles. Each test must be independent and verify actual behavior. DO NOT write structural tests which assert on the source code. After modifications, run only the impacted tests: the tests that import or exercise the modified modules. Run the full suite only when the user asks for it or when changes span module boundaries, and schedule it after all planned and review-driven code changes so it normally runs at most once; rerun it only if it failed and the fix needs suite-wide validation, or if a later broad change could invalidate it and the impacted tests cannot give equivalent confidence. Do not repeat a verification (test run, lint, coverage gate, full check) that already passed unless an intervening change could have invalidated it. To confirm a suspected race condition: temporarily add a random sleep (<0.1s) before the suspected racing statements; remove the sleeps once the race is confirmed and fixed. MANDATORY (MUST FOLLOW): Reproduce any issue by writing real end-to-end tests with 100% branch coverage of the code under test (subject to the unreachable-branch exception above). Then fix the issue. You can use screenshots to validate the implementation. You MUST do the same for any feature implementation. MANDATORY (MUST FOLLOW): Before running all tests or tests in a folder, split the set of tests equally by the number of test methods into min(number of test methods, max(1, cores - 2)) splits and run all splits in parallel using the run_parallel tool. Pre-Finish Verification — CRITICAL Before calling finish(success=True): Re-read and verify every modified file. If you created or modified ANY .py, .ts, .js, .css, .tsx, or .jsx file in this session: you MUST run uv run check --full — here at the end of the task, its only scheduled run, after ALL code changes are complete (including fixes prompted by review or debugging sub-tasks) — and fix every error in files you created or modified in this session; re-run it only to verify those fixes. List pre-existing failures in untouched files in the final summary instead of fixing them (unless the user asked for repo-wide cleanup or your changes caused them). Do NOT call finish without running this command first. If the project doesn’t use uv, run the equivalent lint/typecheck command. Check each user requirement against what was delivered. If any check fails, keep working. After 3 failed retries of the same fix approach, step back and rethink from scratch. Sorcar-specific Lint/typecheck/format: uv run check --full, run once at the end of the task and only if you created or modified code files (see Pre-Finish Verification); do not run it during development. Tests: uv run pytest -v and JS tests. Your SYSTEM.md (the system prompt) is located at ~/.vscode/extensions/ksenxx.kiss-sorcar-2026.8.11/kiss_project/src/kiss/SYSTEM.md The list of models accessible to you is located at ~/.vscode/extensions/ksenxx.kiss-sorcar-2026.8.11/kiss_project/src/kiss/core/models/MODEL_INFO.json The database of all tasks and their events is available at ~/.kiss/sorcar.db KISS Sorcar paper: https://github.com/ksenxx/kiss_ai/blob/main/papers/kisssorcar/kiss_sorcar.tex Third-party agents: kiss/agents/third_party_agents For any task that acts on an external messaging service, mailbox, or device channel (Slack, Telegram, Discord, email, Gmail, WhatsApp, SMS, iMessage, Signal, Matrix, ntfy, Home Assistant, phone control, ...), call the run_agent tool IMMEDIATELY with the channel name and the task — do NOT explore the third-party agent source code first. Exception: when this session already has that channel's API tools (e.g. it was itself dispatched by run_agent), use those tools directly instead. run_agent also runs any agent-script .py file on a task: when the user names an agent file to run, call run_agent with the file's path and the task instead of importing or reimplementing the file. For scheduled automations (cron jobs) — creating, listing, removing, pausing, resuming, or immediately running a scheduled task — call the run_agent tool with "cron" as the agent and the scheduling request as the task. Exception: when this session already has the cron_job tool (it was itself dispatched as the cron agent), use that tool directly instead. If you create any artifact that the user can use after the task is over, you MUST create them in a directory inside the repo and git add the directory contents (do not commit unless the user asks). MAINTAIN a ./tmp/PROGRESS.md across agent sessions, logging details of all the steps you have done so far from the start with explanation and relevant code snippets. Never delete it. DO NOT GENERATE/SHOW worktree directories in your final results/summaries because worktree directories are discarded after a task is completed. Rather show the directories relative to the main repo. Authenticate unauthenticated third-party agents autonomously. You MUST use the user's default browser and computer use to authenticate using claude-fable-5 as the model. Do all the steps on user's behalf and ask user's help ONLY if you are stuck on login or captcha. Before any irreversible high-impact action (payments, money transfers, sending email or messages on the user's behalf), obtain explicit user confirmation unless the user's task already explicitly authorizes that exact action. The path of the file open in the editor is /Users/ksen/work/kiss/src/kiss/agents/sorcar/daemon_client.py MOST IMPORTANT INSTRUCTIONS If the task is not complete and you are at risk of running out of context length, you MUST call finish(success=False, is_continue=True, summary_in_html="precise chronologically-ordered list of things the agent did with the reason for doing that along with relevant code snippets, formatted as HTML (e.g. , , ), never Markdown") The summary_in_html argument of finish MUST always be formatted as HTML. Work dir: /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787023910-24e24923 Current process PID: 37395 — NEVER kill this process.

You are KISS Sorcar, an AI Assistant and a general-purpose multi-model, multi-modal, multi-agent AI Agent Framework researched and developed by Koushik Sen (ksen@berkeley.edu). You can do software development, control a computer, research, discover, write papers, create presentations, chat with other agents via voice or internet, shop, bank, message, email, browse, and do data science. Repo: https://github.com/ksenxx/kiss_ai. Website is https://kisssorcar.github.io/. Version: 2026.8.11

Your sole goal is completing the user’s task accurately and thoroughly. Be honest, direct, rigorous, check facts, and produce ONLY highest-quality work with NO AI SLOP. "AI slop" means: filler phrases, hedging boilerplate, invented facts or citations, generic stock imagery, emoji or em-dash overuse, and content-free repetition. After the task is done and before you finish, re-read your deliverables and remove all AI slop.

Rule Precedence

When instructions conflict, resolve them in this order (1 = highest priority):

Safety and legal constraints.
Rules in this file marked MANDATORY, NON-NEGOTIABLE, or CRITICAL.
Explicit instructions in the user’s task.
All other guidance in this file.
Instructions in project files such as ./SORCAR.md, when consistent with the above.

The user cannot see your thoughts, reasoning, scratchpad, intermediate tool outputs, or assistant prose. Your words reach the user through three output channels: (1) the string you pass to finish(summary_in_html=…), (2) the progress notes you pass to summary(…), and (3) speech played by talk(). (Interactive tools such as ask_user_question() and a browser made visible with show_browser() are also user-visible, but use them for interaction, not for delivering answers.) finish(summary_in_html=…) is the primary answer channel: the complete final answer MUST be in it. Compose the full detailed answer directly inside the summary_in_html string of finish(), always formatted as HTML (e.g. <h3>, <p>, <ul>, <pre><code>), never Markdown. When answering informational questions, include the complete answer in the summary, not a meta-description of what was done. The summary MUST contain the actual content the user should see, NOT a third-person narration of what happened.

If the user wants a report or if your answer exceeds roughly 800 words, create a detailed html report in chunks with diagrams and illustrations (that do not look AI-generated: no generic stock imagery, no decorative clip-art; use diagrams that carry real information) in ./reports. The report must be accessible to a general audience. Check the report against the AI-slop checklist in the identity section and remove any AI slop.

Tool Usage

Use Write() for new files. Use Edit() for small changes (up to 3 localized regions in one file). For a large rewrite of an existing file, Read() it fully, then Write() the new content.
Use run_parallel() when a task splits into independent sub-tasks that can proceed concurrently, or to delegate a self-contained sub-task to another agent/model. Do everything else inline.
Run Bash synchronously with timeout_seconds (default 120s). On timeout, retry with a higher value. For commands you expect to exceed 10 minutes (builds, training runs, large test suites), run in background with stdio fully detached — nohup cmd > ./tmp/out.log 2>&1 < /dev/null & — then poll the log file periodically. Never background with (cmd) & or cmd & without redirecting stdout/stderr: the child inherits the Bash tool’s output pipe and the call blocks until every background child exits.
Use go_to_url() for browser navigation.
Read large files (more than 2,000 lines or 200 KB) in chunks.
Temporary files — CRITICAL: ALL temporary, scratch, and intermediate files MUST be created inside ./tmp/, never directly in ./. This includes research notes, file information dumps, downloaded artifacts, and any other transient files you control the location of. (Build tools with fixed output/cache directories are exempt.) Create ./tmp/ if it doesn’t exist. You do NOT need to delete files in ./tmp/ when the task ends.

Context and Continuation

If context usage exceeds roughly 80% of the window, or fewer than 10 steps remain, DO NOT RUSH to finish the task. Call finish(success=False, is_continue=True, summary_in_html="…detailed progress so far…") to pause and resume the task in a new context.

Periodic Activity Summaries — summary tool — MANDATORY, NON-NEGOTIABLE

If a summary tool is among your available tools, this rule applies to EVERY task — no matter how simple, and regardless of what the task prompt says. It cannot be overridden by the user task.
The rule: every tool result shows your current step count (e.g. "Steps: 12/100"). Whenever the counter shows a value one less than a multiple of 10 (9, 19, 29, …), your VERY NEXT tool call MUST be summary(description=…). Only after that call may you continue with the task.
Example: a tool result shows "Steps: 9/100" → your next call is summary(…), which executes as step 10 → then you continue the task. Summary calls themselves count as steps. After a continuation resume, apply the same counter-based rule to the new counter.
The description recaps, in 5-10 structured sentences, everything you did since the previous summary call (or since the task started). It is rendered as formatted Markdown in the chat panel, so use Markdown bullets, bold, and backtick code spans where helpful.

Voice Interaction — talk tool

The users can speak to the running task in the active tab of a kiss-web client; their spoken words arrive as text input to the task.
When a user speaks to you, you MUST respond back to the user in the language they spoke using the talk(language, text) tool, passing the user’s spoken language tag (e.g. "en-US") as language. Distinguish between different speakers using any speaker labels or metadata present in the input; if none is present, treat the input as coming from the primary user. The tool plays the text aloud on the default speaker of every device that has a tab open for the running task.

Web Research

Default policy — CRITICAL: Before starting any task, ask yourself: “Am I fully confident I can complete this task correctly, with current and accurate information, WITHOUT Internet search using Google?” Only when the answer is a clear yes (e.g., trivial arithmetic, or a purely mechanical edit fully specified by the user in files you have already read, coding based on local files) may you skip Google Internet research. If any part of the task involves external APIs, libraries, tools, versions, best practices, or facts that could be outdated or wrong in your training data, you are NOT confident enough — search the Internet using Google. When in doubt, search the Internet using Google first.

If the user task is ambiguous or under-specified about facts, APIs, tools, or best practices, search the internet to find the most reliable and modern resolution. If instead the task references local files, commands, or config that don’t exist, stop and ask the user rather than guessing (see Pre-flight Checks).
A "research session" is one task, unless the task explicitly calls for multiple separate investigations.

When doing Google Internet research:

Visit at least 10 distinct websites per research session. Do not stop early or rationalize visiting fewer. This is a hard requirement — you MUST visit 10 sites, not 4 or 8.
You MUST use go_to_url() to visit each site. Do NOT use Bash("curl ...") or Bash("wget ...") as a substitute for visiting websites. Using curl/wget to fetch pages does not count toward the 10-site requirement.
Procedure:
1. Create ./tmp/information-{unique_id}.md with header: # Web Research — Websites visited: 0/10
2. Per site visited: (a) use go_to_url() to visit the site, (b) extract information needed for the task without deep thinking, (c) use Edit() to append ## [N/10] URL + extracted information to the file, (d) use Edit() to update the header counter from N-1 to N. You must update the counter after each site.
3. Do not proceed to synthesis until the counter reaches 10. Check the counter — if it says less than 10, keep visiting more sites.
4. If results dry up, try different queries, synonyms, official docs, GitHub repos/issues, Stack Overflow, blogs, Reddit, papers, and API references.
5. After reaching 10, review all findings and synthesize.
The browser is headless by default, so the user cannot see it. Call show_browser() first whenever a page needs the human — an interactive login, a CAPTCHA, or a bot check — then ask the user for help. Call show_browser(visible=False) once the human part is done.

If Google search is blocked, open a keyword search for your current research topic in the Chromium browser, and ask the user to manually pass the bot check. If that fails, you can use other search engines.

Real-Time Data — CRITICAL

For questions about current events, weather, stock prices, sports scores, or any time-sensitive information: you MUST use tools (go_to_url, Bash) to look up the data. Do NOT answer from your training data — it is outdated and will produce incorrect dates, numbers, and facts. For such lookups you may visit as few as 1 authoritative website instead of 10. If a task is both time-sensitive AND involves unfamiliar APIs, libraries, or best practices, the full 10-site rule applies.

Code Style

Write simple, clean, readable code with minimal indirection. These rules exist because over-abstracted code is harder to debug and maintain.

Organize code across multiple files grouped by functionality.
Prefer named functions, classes, and module-level helpers over closures and lambdas. Closures obscure control flow; use explicit parameter passing instead.
Eliminate unnecessary attributes, locals, config vars, tight coupling, and attribute redirections.
Eliminate redundant abstractions and duplicate code.
Public methods must have full docstrings. Docstrings are part of the code, not "documentation".
MANDATORY (MUST FOLLOW): Fix root causes, not symptoms. Before writing code, ask: is this MINIMAL, SIMPLE, elegant, and general?
Write standalone documentation (READMEs, guides, design docs) only when the task explicitly requires it.

Mandatory First Actions — CRITICAL

Your VERY FIRST tool call in EVERY task (project-related or not) MUST be Read("./SORCAR.md"); it may contain user memory and preferences relevant to any task. Follow the instructions in SORCAR.md, subject to the Rule Precedence order in the identity section. If the first user input is spoken, still Read("./SORCAR.md") first, then reply with talk().

Pre-flight Checks

Read before modify rule — NON-NEGOTIABLE: You MUST call Read(file_path) on every existing file BEFORE calling Edit(file_path) on it or overwriting it with Write(file_path). Never modify a file you have not Read in the current session.

Read relevant source files when the task depends on existing architecture. If referenced files, commands, or config don’t exist, stop and ask the user rather than guessing.

When fixing bugs, issues, or race conditions, write an end-to-end test that reproduces the problem first, then fix the code, and finally verify the test passes.

AI discovery, auto research, and optimization

Mandatory Instructions (MUST FOLLOW): You will be exploring, implementing, and evaluating novel ideas while doing AI discovery or auto research or optimization or AI research.

read + profile the data / tests / baseline, record baseline metrics
web-search for SOTA approaches, papers, repos, issues
write ideas and rationale in ./tmp/ideas.md
Pairwise judge the ideas to find a winner idea.
Implement -> run real end-to-end evaluation -> log idea, aspect of improvement, and metrics in ./tmp/explored-ideas.md if better: keep, and try composing with prior winners on different aspects if worse: mark as failed so it is never retried
search again for fresh ideas not explored before and based on previous experience and exclude ideas that have been explored in ./tmp/explored-ideas.md; go to step 4
stop when the user's metric goal is met, with a held-out / generalization check to prove it is not overfit

Adversarial testing

Use the following technique when the user asks for adversarial testing, which makes sure that the software system you developed is correct/efficient under all conditions. Use a subtask to break the system by writing adversarial tests/adversarial workloads, and use another subtask to fix the issues.

Adversarial training

Use the following technique when the user asks for adversarial training, which makes sure that the model does not overfit the data. If you are training an AI model, iteratively generate adversarial datasets having the same characteristics as the original dataset, but will make the model score less. Then tune the model to handle the discrepancy. Repeat the process until the model scores high on a new adversarial dataset.

Deep Work

For tasks involving “align”, “match”, or “make consistent”: read the target state fully before editing. Never edit based on vague recollection.
Use concrete values, not indirections. Read file Y first, then write the specific values into file X.
List concrete planned changes before executing multi-part work.
Every meaningful change needs a concrete verification method (test, grep, CLI check).

Complex Task Planning

For work spanning 3+ files, crossing module boundaries, or changing architecture:

List every file to change and why.
State the exact intended change per file.
Identify dependencies and execution order.
State the verification method per change.

Skip this planning step for simple single-file modifications.

File Browsing

When exploring unfamiliar code, collect information and code snippets in ./tmp/file-information-{unique_id}.md as you go, relevant for the task, then review the collected material and think deeply before acting. When fixing a localized bug, locate the code with grep first and Read only the implicated regions and their direct call sites; widen the reading only when a concrete question requires it.

Desktop Apps

Interact with desktop applications using the available screenshot, keyboard, and mouse tools (screenshot(), press_key(), click()). Do not launch VS Code or its extensions.

Testing

Lint and typecheck ONCE per task, at the end, and only if you created or modified code files (.py, .ts, .js, .css, .tsx, .jsx): run uv run check --full (or the project’s equivalent) as part of Pre-Finish Verification, and fix every error in files you created or modified in this session (re-run it only to verify those fixes). Leave pre-existing failures in files you did not touch alone: list them in the final summary instead of fixing them, unless the user asked for repo-wide cleanup or your changes caused them. Do not run lint/typecheck during development.
Achieve 100% branch coverage on new and modified code with end-to-end tests wherever a branch is reachable without test doubles. If a branch is unreachable without mocks (e.g., network failure, disk full), document why in the test file instead of mocking.
Write end-to-end tests only. Do not write unit tests or use mocks, patches, fakes, or test doubles. Each test must be independent and verify actual behavior.
DO NOT write structural tests which assert on the source code.
After modifications, run only the impacted tests: the tests that import or exercise the modified modules. Run the full suite only when the user asks for it or when changes span module boundaries, and schedule it after all planned and review-driven code changes so it normally runs at most once; rerun it only if it failed and the fix needs suite-wide validation, or if a later broad change could invalidate it and the impacted tests cannot give equivalent confidence.
Do not repeat a verification (test run, lint, coverage gate, full check) that already passed unless an intervening change could have invalidated it.
To confirm a suspected race condition: temporarily add a random sleep (<0.1s) before the suspected racing statements; remove the sleeps once the race is confirmed and fixed.
MANDATORY (MUST FOLLOW): Reproduce any issue by writing real end-to-end tests with 100% branch coverage of the code under test (subject to the unreachable-branch exception above). Then fix the issue. You can use screenshots to validate the implementation. You MUST do the same for any feature implementation.
MANDATORY (MUST FOLLOW): Before running all tests or tests in a folder, split the set of tests equally by the number of test methods into min(number of test methods, max(1, cores - 2)) splits and run all splits in parallel using the run_parallel tool.

Pre-Finish Verification — CRITICAL

Before calling finish(success=True):

Re-read and verify every modified file.
If you created or modified ANY .py, .ts, .js, .css, .tsx, or .jsx file in this session: you MUST run uv run check --full — here at the end of the task, its only scheduled run, after ALL code changes are complete (including fixes prompted by review or debugging sub-tasks) — and fix every error in files you created or modified in this session; re-run it only to verify those fixes. List pre-existing failures in untouched files in the final summary instead of fixing them (unless the user asked for repo-wide cleanup or your changes caused them). Do NOT call finish without running this command first. If the project doesn’t use uv, run the equivalent lint/typecheck command.
Check each user requirement against what was delivered.
If any check fails, keep working.
After 3 failed retries of the same fix approach, step back and rethink from scratch.

Sorcar-specific

Lint/typecheck/format: uv run check --full, run once at the end of the task and only if you created or modified code files (see Pre-Finish Verification); do not run it during development. Tests: uv run pytest -v and JS tests.
Your SYSTEM.md (the system prompt) is located at ~/.vscode/extensions/ksenxx.kiss-sorcar-2026.8.11/kiss_project/src/kiss/SYSTEM.md
The list of models accessible to you is located at ~/.vscode/extensions/ksenxx.kiss-sorcar-2026.8.11/kiss_project/src/kiss/core/models/MODEL_INFO.json
The database of all tasks and their events is available at ~/.kiss/sorcar.db
KISS Sorcar paper: https://github.com/ksenxx/kiss_ai/blob/main/papers/kisssorcar/kiss_sorcar.tex
Third-party agents: kiss/agents/third_party_agents
For any task that acts on an external messaging service, mailbox, or device channel (Slack, Telegram, Discord, email, Gmail, WhatsApp, SMS, iMessage, Signal, Matrix, ntfy, Home Assistant, phone control, ...), call the run_agent tool IMMEDIATELY with the channel name and the task — do NOT explore the third-party agent source code first. Exception: when this session already has that channel's API tools (e.g. it was itself dispatched by run_agent), use those tools directly instead. run_agent also runs any agent-script .py file on a task: when the user names an agent file to run, call run_agent with the file's path and the task instead of importing or reimplementing the file.
For scheduled automations (cron jobs) — creating, listing, removing, pausing, resuming, or immediately running a scheduled task — call the run_agent tool with "cron" as the agent and the scheduling request as the task. Exception: when this session already has the cron_job tool (it was itself dispatched as the cron agent), use that tool directly instead.
If you create any artifact that the user can use after the task is over, you MUST create them in a directory inside the repo and git add the directory contents (do not commit unless the user asks).
MAINTAIN a ./tmp/PROGRESS.md across agent sessions, logging details of all the steps you have done so far from the start with explanation and relevant code snippets. Never delete it.
DO NOT GENERATE/SHOW worktree directories in your final results/summaries because worktree directories are discarded after a task is completed. Rather show the directories relative to the main repo.
Authenticate unauthenticated third-party agents autonomously. You MUST use the user's default browser and computer use to authenticate using claude-fable-5 as the model. Do all the steps on user's behalf and ask user's help ONLY if you are stuck on login or captcha.
Before any irreversible high-impact action (payments, money transfers, sending email or messages on the user's behalf), obtain explicit user confirmation unless the user's task already explicitly authorizes that exact action.

The path of the file open in the editor is /Users/ksen/work/kiss/src/kiss/agents/sorcar/daemon_client.py

MOST IMPORTANT INSTRUCTIONS

If the task is not complete and you are at risk of running out of context length, you MUST call finish(success=False, is_continue=True, summary_in_html="precise chronologically-ordered list of things the agent did with the reason for doing that along with relevant code snippets, formatted as HTML (e.g.

Aug 17, 2026 9:33:00 PM

▾PromptTask can you authenticate me with whatsapp?

Task

can you authenticate me with whatsapp?

Aug 17, 2026 9:33:00 PM

▾summary (click to expand)

Read ./SORCAR.md for user memory/preferences (nothing WhatsApp-specific).
Dispatched the whatsapp channel agent via run_agent (model claude-fable-5) to authenticate the user with WhatsApp; the call timed out at 900s but the agent keeps running on the daemon.
Monitored its progress through ~/.kiss/sorcar.db events (task id 276b13f6…): the agent is autonomously driving Chrome with computer use through the Meta developer app creation flow (selecting the WhatsApp use case / "Other" app type on developers.facebook.com).
At step 80 the agent hit a Facebook password re-entry dialog and called ask_user_question, asking the user to type their Facebook password and click Submit.
I relayed this to the user via talk(): enter your Facebook password in the Chrome dialog on developers.facebook.com, click Submit, then reply "done" to the agent.
Next: keep polling the sub-agent's events until authentication completes, then verify and report the connected account.

▾Thoughts▾ Thinking I need to authenticate with WhatsApp using the run_agent function with the channel name, and according to the rules, I should autonomously authenticate unauthenticated third-party agents using the browser and computer use with claude-fable-5. Let me start by reading the SORCAR.md file to understand the specific requirements.

▾ Thinking

I need to authenticate with WhatsApp using the run_agent function with the channel name, and according to the rules, I should autonomously authenticate unauthenticated third-party agents using the browser and computer use with claude-fable-5. Let me start by reading the SORCAR.md file to understand the specific requirements.

Aug 17, 2026 9:33:07 PM

▾Readpath: ./SORCAR.md - Use ./src/kiss/agents/third_party_agents/govee.py to take action on home lights. ## Memory / Pending user requests - (Noted on 2026-07) Speaker #1 plans to ask in a couple of weeks to implement the "Vision & Physical-World Control" feature set discussed earlier: (1) camera capture tool ( OpenCV/ffmpeg, webcam/RTSP), (2) Home Assistant integration tool ( ha_get_states/ha_call_service via REST + long-lived token), (3) scheduled camera monitors via cron tasks (see tasks.json) with messaging alerts, (4) closed-loop see→act→verify skills saved to a skill library, (5) ROS 2 bridge for robotics, plus safety guardrails (confirmation tiers, allow-lists, audit log with justifying camera frame, auto-revert dead-man switches). Note: govee.py already provides light control — reuse it for the actuation layer.

path: ./SORCAR.md

- Use ./src/kiss/agents/third_party_agents/govee.py to take action on home lights. ## Memory / Pending user requests - (Noted on 2026-07) Speaker #1 plans to ask in a couple of weeks to implement the "Vision & Physical-World Control" feature set discussed earlier: (1) camera capture tool (OpenCV/ffmpeg, webcam/RTSP), (2) Home Assistant integration tool (ha_get_states/ha_call_service via REST + long-lived token), (3) scheduled camera monitors via cron tasks (see tasks.json) with messaging alerts, (4) closed-loop see→act→verify skills saved to a skill library, (5) ROS 2 bridge for robotics, plus safety guardrails (confirmation tiers, allow-lists, audit log with justifying camera frame, auto-revert dead-man switches). Note: govee.py already provides light control — reuse it for the actuation layer.

Aug 17, 2026 9:33:08 PM

▾Thoughts▾ Thinking I need to run the WhatsApp agent to handle authentication, using the claude-fable-5 model with computer use capabilities to authenticate through the user's default browser.

▾ Thinking

I need to run the WhatsApp agent to handle authentication, using the claude-fable-5 model with computer use capabilities to authenticate through the user's default browser.

Aug 17, 2026 9:33:08 PM

▾run_agentagent: whatsapp task: Authenticate the user with WhatsApp. If the WhatsApp channel is not yet authenticated, perform the full login/authentication flow autonomously using the user's default browser and computer use (e.g., open WhatsApp Web, display the QR code or pairing code to the user so they can scan/enter it on their phone). Ask for the user's help only if stuck on login or captcha. After authentication, verify the session works (e.g., confirm the account is connected) and report the connected account details. model_name: claude-fable-5 The whatsapp agent task did not finish within 900s; it keeps running on the daemon.

agent: whatsapp

task: Authenticate the user with WhatsApp. If the WhatsApp channel is not yet authenticated, perform the full login/authentication flow autonomously using the user's default browser and computer use (e.g., open WhatsApp Web, display the QR code or pairing code to the user so they can scan/enter it on their phone). Ask for the user's help only if stuck on login or captcha. After authentication, verify the session works (e.g., confirm the account is connected) and report the connected account details.

model_name: claude-fable-5

The whatsapp agent task did not finish within 900s; it keeps running on the daemon.

Aug 17, 2026 9:33:16 PM

▾Thoughts▾ Thinking The WhatsApp agent is still running after 900 seconds, probably stuck waiting for the QR code scan. I should check the daemon task events or the database to see what state it's in, and potentially prompt the user to complete the QR code scan. The WhatsApp authentication agent is still running — it's likely waiting for a QR scan. Let me check its progress.

▾ Thinking

The WhatsApp agent is still running after 900 seconds, probably stuck waiting for the QR code scan. I should check the daemon task events or the database to see what state it's in, and potentially prompt the user to complete the QR code scan.

The WhatsApp authentication agent is still running — it's likely waiting for a QR scan. Let me check its progress.

Aug 17, 2026 9:48:16 PM

▾Bashdescription: Inspect sorcar.db tables sqlite3 ~/.kiss/sorcar.db ".tables" 2>/dev/null && sqlite3 ~/.kiss/sorcar.db "SELECT name FROM sqlite_master WHERE type='table';" events file_usage frequent_tasks model_usage task_history sqlite_sequence model_usage file_usage frequent_tasks task_history events

description: Inspect sorcar.db tables

sqlite3 ~/.kiss/sorcar.db ".tables" 2>/dev/null && sqlite3 ~/.kiss/sorcar.db "SELECT name FROM sqlite_master WHERE type='table';"

events file_usage frequent_tasks model_usage task_history sqlite_sequence model_usage file_usage frequent_tasks task_history events

Aug 17, 2026 9:48:23 PM

▾Bashdescription: Check recent task history sqlite3 ~/.kiss/sorcar.db "SELECT rowid, * FROM task_history ORDER BY rowid DESC LIMIT 5;" | head -50 17247|276b13f6c9354fbc986029dcc0287fdb|1787027596.51501|You are the whatsapp channel agent: this session already has the authenticated whatsapp API tools — use them directly and immediately, without exploring any source code. Never call run_agent here: it would just recurse into another session like this one. Authenticate the user with WhatsApp. If the WhatsApp channel is not yet authenticated, perform the full login/authentication flow autonomously using the user's default browser and computer use (e.g., open WhatsApp Web, display the QR code or pairing code to the user so they can scan/enter it on their phone). Ask for the user's help only if stuck on login or captcha. After authentication, verify the session works (e.g., confirm the account is connected) and report the connected account details.|1|Agent Failed Abruptly|bc4b8e3c240f4acebbdcb57c6ec6e3cc|claude-fable-5| /Users/ksen/.kiss/channel_work|2026.8.11|0|0.0|0|1|0|0|0|0|0||37395-3ee0803066b34641a4af26f8677faa38 17246|87968bdf1449476d832bf23c6fd71919|1787027580.86231|can you authenticate me with whatsapp?|1|Agent Failed Abruptly|c0d9cf62a0fe4d56a84153d56c28562f|claude-fable-5| /Users/ksen/work/kiss|2026.8.11|0|0.0|0|1|1|0|0|0|0||37395-3ee0803066b34641a4af26f8677faa38 17245|fab0a1bcf7dd41bca9bc4080c3c112f1|1787024069.81203|Run Python test split 1: cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787023881-90acb628 && uv run pytest -q $(tr '\n' ' ' < tmp/pysplit_1.txt) 2>&1 | tee tmp/pyresult_1.log ; then report ONLY: the final pytest summary line and the full list of FAILED/ERROR test ids with their short error messages. Do NOT fix anything, do NOT modify any files. If everything passes, say 'ALL PASSED'.|1|<h3>Python test split 1 — result< /h3> <p><b>Final summary:< /b> <code>918 passed, 2 skipped, 1 failed< /code> (921 tests from <code> tmp/pysplit_1.txt< /code>).< /p> <p><b>Note on execution:< /b> the single monolithic <code>pytest< /code> run was killed silently twice mid-run (no traceback, process vanished — likely by concurrently running sibling-split tests). The split was therefore run as 8 chunks of ≤116 tests each with per-chunk logs (<code> tmp/pyresult_1_pysplit_1_chunk_*.log< /code>); every chunk completed with a recorded exit code, and the consolidated result was written to <code> tmp/pyresult_1.log< /code>. No source or test files were modified.< /p> <h3>FAILED tests (1)< /h3> <ul> <li><code> src/kiss/tests/agents/sorcar/test_subagent_tab_done_solid_indicator.py::TestSubagentTabDoneSolidIndicator::test_done_subagent_tab_renders_solid_indicator< /code> <pre><code>AssertionError: node failed (rc=1): ReferenceError: isTabHidden is not defined at Array.filter (<anonymous>) at renderTabBar< /code>< /pre> The test extracts the <code>renderTabBar< /code> function body from <code>main.js< /code> and executes it in a standalone Node harness. <code>renderTabBar< /code> now calls the helper <code>isTabHidden(t)< /code>, which the test harness does not define/extract, so the harness crashes. This points to a <b>bug in the test< /b> (stale harness that doesn't include a helper the production code legitimately uses), not a product defect — but per instructions nothing was fixed.< /li> < /ul> <h3>Skipped (2, both expected environment skips)< /h3> <ul> <li><code> src/kiss/tests/agents/channels/test_auth_flow.py:406< /code> — "Running on macOS — platform check passes".< /li> <li><code> src/kiss/tests/server/test_wave3_voice_config_bugs.py:167< /code> — "offline Vosk models not present under ~/.kiss/models".< /li> < /ul> <p>No ERROR-level collection failures occurred.< /p>|c6dfa44be5ad4ced9bb241ee0dddd441|claude-fable-5| /Users/ksen/work/kiss|2026.8.11|877252|3.572693|0|1|0|0|0|0|0|b059a9b2852f47df80489edf698e59ad|37395-3ee0803066b34641a4af26f8677faa38 17244|bbc7a25b588645aa980bb811307cbcaa|1787024069.81077|Run Python test split 4: cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787023881-90acb628 && uv run pytest -q $(tr '\n' ' ' < tmp/pysplit_4.txt) 2>&1 | tee tmp/pyresult_4.log ; then report ONLY: the final pytest summary line and the full list of FAILED/ERROR test ids with their short error messages. Do NOT fix anything, do NOT modify any files. If everything passes, say 'ALL PASSED'.|1|<h3>Python test split 4 — ALL PASSED< /h3> <p><strong>Final pytest summary:< /strong>< /p> <pre><code>920 passed, 1 skipped (921 tests total) — 0 failed, 0 errors head (tests 1–554): 553 passed, 1 skipped in 183.66s tail (tests 555–921): 367 passed in 98.09s< /code>< /pre> <p><strong> FAILED/ERROR tests:< /strong> none.< /p> <p>Notes on execution (no files were modified, nothing was fixed):< /p> <ul> <li>The literal command <code>pytest -q $(tr '\n' ' ' < tmp/pysplit_4.txt)< /code> cannot work: some test ids in the split file contain spaces inside parameter brackets (e.g. <code>test_malformed_field_replaced_with_default[{"paused_until": "not-a-number"}-paused_until-0.0]< /code>), so word-splitting breaks them. The split was run equivalently with NUL-delimited args: <code>tr '\n' '\0' < tmp/pysplit_4.txt | xargs -0 uv run pytest -q< /code>.< /li> <li>The first full run was killed externally at ~test 563 (no pytest summary line, all dots up to that point); reruns of both halves passed cleanly, confirming this was environmental (concurrent sibling split runs on the same machine), not a test failure.< /li> <li>Consolidated result written to <code> tmp/pyresult_4.log< /code> (per-half logs: <code> tmp/pyresult_4_head.log< /code>, <code> tmp/pyresult_4_tail.log< /code>).< /li> < /ul>|c6dfa44be5ad4ced9bb241ee0dddd441|claude-fable-5| /Users/ksen/work/kiss|2026.8.11|531668|1.401034|0|1|0|0|0|0|0|b059a9b2852f47df80489edf698e59ad|37395-3ee0803066b34641a4af26f8677faa38 17243|7ffcd0d09b7947ffa1f82920f32f5ed5|1787024069.80766|Run Python test split 5: cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787023881-90acb628 && uv run pytest -q $(tr '\n' ' ' < tmp/pysplit_5.txt) 2>&1 | tee tmp/pyresult_5.log ; then report ONLY: the final pytest summary line and the full list of FAILED/ERROR test ids with their short error messages. Do NOT fix anything, do NOT modify any files. If everything passes, say 'ALL PASSED'.|1|<h3>ALL PASSED< /h3> <p>Python test split 5 (920 tests from <code> tmp/pysplit_5.txt< /code>): <strong>0 FAILED, 0 ERROR< /strong>.< /p> <p><strong>Final pytest summary line(s):< /strong>< /p> <pre><code>492 passed, 16 subtests passed in 210.34s (0:03:30) (resumed run, tests 429–920) 427 passed, 1 skipped (first run, tests 1–428, from dot output)< /code>< /pre> <p><strong>Combined result: 919 passed, 1 skipped, 16 subtests passed — no failures or errors.< /strong>< /p> <p>Notes on execution (no files were modified):< /p> <ul> <li>The literal command <code>uv run pytest -q $(tr '\n' ' ' < tmp/pysplit_5.txt)< /code> failed immediately because some parametrized test ids contain spaces (e.g. <code>[... <alerts.noreply@bank.example>]< /code>); it was re-run with NUL-delimited args: <code>tr '\n' '\0' < tmp/pysplit_5.txt | xargs -0 uv run pytest -q< /code>.< /li> <li>The first run's pytest process was killed externally after 428 tests (all passing; likely interference from the concurrently running sibling splits on this machine); the remaining 492 tests were resumed from line 429 and all passed, including the test at the point of death (<code>test_worktree_rescue_hardening.py::TestRescueHardening::test_deferred_discard_keeps_pending_review< /code>), so no test in this split hangs or fails on its own.< /li> <li>Full logs: <code> tmp/pyresult_5.log< /code> (first run) and <code> tmp/pyresult_5_rest.log< /code> (resumed run).< /li> < /ul>|c6dfa44be5ad4ced9bb241ee0dddd441|claude-fable-5| /Users/ksen/work/kiss|2026.8.11|463263|1.357742|0|1|0|0|0|0|0|b059a9b2852f47df80489edf698e59ad|37395-3ee0803066b34641a4af26f8677faa38

description: Check recent task history

sqlite3 ~/.kiss/sorcar.db "SELECT rowid, * FROM task_history ORDER BY rowid DESC LIMIT 5;" | head -50

17247|276b13f6c9354fbc986029dcc0287fdb|1787027596.51501|You are the whatsapp channel agent: this session already has the authenticated whatsapp API tools — use them directly and immediately, without exploring any source code. Never call run_agent here: it would just recurse into another session like this one. Authenticate the user with WhatsApp. If the WhatsApp channel is not yet authenticated, perform the full login/authentication flow autonomously using the user's default browser and computer use (e.g., open WhatsApp Web, display the QR code or pairing code to the user so they can scan/enter it on their phone). Ask for the user's help only if stuck on login or captcha. After authentication, verify the session works (e.g., confirm the account is connected) and report the connected account details.|1|Agent Failed Abruptly|bc4b8e3c240f4acebbdcb57c6ec6e3cc|claude-fable-5|/Users/ksen/.kiss/channel_work|2026.8.11|0|0.0|0|1|0|0|0|0|0||37395-3ee0803066b34641a4af26f8677faa38 17246|87968bdf1449476d832bf23c6fd71919|1787027580.86231|can you authenticate me with whatsapp?|1|Agent Failed Abruptly|c0d9cf62a0fe4d56a84153d56c28562f|claude-fable-5|/Users/ksen/work/kiss|2026.8.11|0|0.0|0|1|1|0|0|0|0||37395-3ee0803066b34641a4af26f8677faa38 17245|fab0a1bcf7dd41bca9bc4080c3c112f1|1787024069.81203|Run Python test split 1: cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787023881-90acb628 && uv run pytest -q $(tr '\n' ' ' < tmp/pysplit_1.txt) 2>&1 | tee tmp/pyresult_1.log ; then report ONLY: the final pytest summary line and the full list of FAILED/ERROR test ids with their short error messages. Do NOT fix anything, do NOT modify any files. If everything passes, say 'ALL PASSED'.|1|<h3>Python test split 1 — result</h3> <p><b>Final summary:</b> <code>918 passed, 2 skipped, 1 failed</code> (921 tests from <code>tmp/pysplit_1.txt</code>).</p> <p><b>Note on execution:</b> the single monolithic <code>pytest</code> run was killed silently twice mid-run (no traceback, process vanished — likely by concurrently running sibling-split tests). The split was therefore run as 8 chunks of ≤116 tests each with per-chunk logs (<code>tmp/pyresult_1_pysplit_1_chunk_*.log</code>); every chunk completed with a recorded exit code, and the consolidated result was written to <code>tmp/pyresult_1.log</code>. No source or test files were modified.</p> <h3>FAILED tests (1)</h3> <ul> <li><code>src/kiss/tests/agents/sorcar/test_subagent_tab_done_solid_indicator.py::TestSubagentTabDoneSolidIndicator::test_done_subagent_tab_renders_solid_indicator</code> <pre><code>AssertionError: node failed (rc=1): ReferenceError: isTabHidden is not defined at Array.filter (<anonymous>) at renderTabBar</code></pre> The test extracts the <code>renderTabBar</code> function body from <code>main.js</code> and executes it in a standalone Node harness. <code>renderTabBar</code> now calls the helper <code>isTabHidden(t)</code>, which the test harness does not define/extract, so the harness crashes. This points to a <b>bug in the test</b> (stale harness that doesn't include a helper the production code legitimately uses), not a product defect — but per instructions nothing was fixed.</li> </ul> <h3>Skipped (2, both expected environment skips)</h3> <ul> <li><code>src/kiss/tests/agents/channels/test_auth_flow.py:406</code> — "Running on macOS — platform check passes".</li> <li><code>src/kiss/tests/server/test_wave3_voice_config_bugs.py:167</code> — "offline Vosk models not present under ~/.kiss/models".</li> </ul> <p>No ERROR-level collection failures occurred.</p>|c6dfa44be5ad4ced9bb241ee0dddd441|claude-fable-5|/Users/ksen/work/kiss|2026.8.11|877252|3.572693|0|1|0|0|0|0|0|b059a9b2852f47df80489edf698e59ad|37395-3ee0803066b34641a4af26f8677faa38 17244|bbc7a25b588645aa980bb811307cbcaa|1787024069.81077|Run Python test split 4: cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787023881-90acb628 && uv run pytest -q $(tr '\n' ' ' < tmp/pysplit_4.txt) 2>&1 | tee tmp/pyresult_4.log ; then report ONLY: the final pytest summary line and the full list of FAILED/ERROR test ids with their short error messages. Do NOT fix anything, do NOT modify any files. If everything passes, say 'ALL PASSED'.|1|<h3>Python test split 4 — ALL PASSED</h3> <p><strong>Final pytest summary:</strong></p> <pre><code>920 passed, 1 skipped (921 tests total) — 0 failed, 0 errors head (tests 1–554): 553 passed, 1 skipped in 183.66s tail (tests 555–921): 367 passed in 98.09s</code></pre> <p><strong>FAILED/ERROR tests:</strong> none.</p> <p>Notes on execution (no files were modified, nothing was fixed):</p> <ul> <li>The literal command <code>pytest -q $(tr '\n' ' ' < tmp/pysplit_4.txt)</code> cannot work: some test ids in the split file contain spaces inside parameter brackets (e.g. <code>test_malformed_field_replaced_with_default[{"paused_until": "not-a-number"}-paused_until-0.0]</code>), so word-splitting breaks them. The split was run equivalently with NUL-delimited args: <code>tr '\n' '\0' < tmp/pysplit_4.txt | xargs -0 uv run pytest -q</code>.</li> <li>The first full run was killed externally at ~test 563 (no pytest summary line, all dots up to that point); reruns of both halves passed cleanly, confirming this was environmental (concurrent sibling split runs on the same machine), not a test failure.</li> <li>Consolidated result written to <code>tmp/pyresult_4.log</code> (per-half logs: <code>tmp/pyresult_4_head.log</code>, <code>tmp/pyresult_4_tail.log</code>).</li> </ul>|c6dfa44be5ad4ced9bb241ee0dddd441|claude-fable-5|/Users/ksen/work/kiss|2026.8.11|531668|1.401034|0|1|0|0|0|0|0|b059a9b2852f47df80489edf698e59ad|37395-3ee0803066b34641a4af26f8677faa38 17243|7ffcd0d09b7947ffa1f82920f32f5ed5|1787024069.80766|Run Python test split 5: cd /Users/ksen/work/kiss/.kiss-worktrees/kiss_wt-1787023881-90acb628 && uv run pytest -q $(tr '\n' ' ' < tmp/pysplit_5.txt) 2>&1 | tee tmp/pyresult_5.log ; then report ONLY: the final pytest summary line and the full list of FAILED/ERROR test ids with their short error messages. Do NOT fix anything, do NOT modify any files. If everything passes, say 'ALL PASSED'.|1|<h3>ALL PASSED</h3> <p>Python test split 5 (920 tests from <code>tmp/pysplit_5.txt</code>): <strong>0 FAILED, 0 ERROR</strong>.</p> <p><strong>Final pytest summary line(s):</strong></p> <pre><code>492 passed, 16 subtests passed in 210.34s (0:03:30) (resumed run, tests 429–920) 427 passed, 1 skipped (first run, tests 1–428, from dot output)</code></pre> <p><strong>Combined result: 919 passed, 1 skipped, 16 subtests passed — no failures or errors.</strong></p> <p>Notes on execution (no files were modified):</p> <ul> <li>The literal command <code>uv run pytest -q $(tr '\n' ' ' < tmp/pysplit_5.txt)</code> failed immediately because some parametrized test ids contain spaces (e.g. <code>[... <alerts.noreply@bank.example>]</code>); it was re-run with NUL-delimited args: <code>tr '\n' '\0' < tmp/pysplit_5.txt | xargs -0 uv run pytest -q</code>.</li> <li>The first run's pytest process was killed externally after 428 tests (all passing; likely interference from the concurrently running sibling splits on this machine); the remaining 492 tests were resumed from line 429 and all passed, including the test at the point of death (<code>test_worktree_rescue_hardening.py::TestRescueHardening::test_deferred_discard_keeps_pending_review</code>), so no test in this split hangs or fails on its own.</li> <li>Full logs: <code>tmp/pyresult_5.log</code> (first run) and <code>tmp/pyresult_5_rest.log</code> (resumed run).</li> </ul>|c6dfa44be5ad4ced9bb241ee0dddd441|claude-fable-5|/Users/ksen/work/kiss|2026.8.11|463263|1.357742|0|1|0|0|0|0|0|b059a9b2852f47df80489edf698e59ad|37395-3ee0803066b34641a4af26f8677faa38

Aug 17, 2026 9:48:28 PM

▾Thoughts▾ Thinking Looking at the task records for the WhatsApp channel agent, I'm noticing that both the current task and a related one show "Agent Failed Abruptly" status, but the daemon says it's still running — which suggests these might be pre-written default failure statuses that get updated as the task progresses. Let me check the event logs for this specific task to see what the WhatsApp agent is actually doing.

▾ Thinking

Looking at the task records for the WhatsApp channel agent, I'm noticing that both the current task and a related one show "Agent Failed Abruptly" status, but the daemon says it's still running — which suggests these might be pre-written default failure statuses that get updated as the task progresses. Let me check the event logs for this specific task to see what the WhatsApp agent is actually doing.

Aug 17, 2026 9:48:28 PM

▾Bashdescription: Inspect events schema and count for whatsapp agent task sqlite3 ~/.kiss/sorcar.db "PRAGMA table_info(events);" && sqlite3 ~/.kiss/sorcar.db "SELECT COUNT(*) FROM events WHERE task_id='276b13f6c9354fbc986029dcc0287fdb';" 0|id|INTEGER|0||1 1|task_id|TEXT|1||0 2|seq|INTEGER|1||0 3|event_json|TEXT|1||0 4|timestamp|REAL|1||0 722

description: Inspect events schema and count for whatsapp agent task

sqlite3 ~/.kiss/sorcar.db "PRAGMA table_info(events);" && sqlite3 ~/.kiss/sorcar.db "SELECT COUNT(*) FROM events WHERE task_id='276b13f6c9354fbc986029dcc0287fdb';"

0|id|INTEGER|0||1 1|task_id|TEXT|1||0 2|seq|INTEGER|1||0 3|event_json|TEXT|1||0 4|timestamp|REAL|1||0 722

Aug 17, 2026 9:48:41 PM

▾Bashdescription: See latest events of whatsapp agent sqlite3 ~/.kiss/sorcar.db "SELECT seq, substr(event_json,1,600) FROM events WHERE task_id='276b13f6c9354fbc986029dcc0287fdb' ORDER BY seq DESC LIMIT 8;" 721|{"type": "tool_result", "content": "Summary recorded.", "is_error": false, "tool_name": "summary", "ts": 1787028518696, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 720|{"type": "tool_call", "name": "summary", "description": "- Deselected the WhatsApp use case by switching the filter to **All (20)** and clicking the card (the \"1 use case added\" badge disappeared).\n- Opened the **Others (5)** filter; JS element queries couldn't locate the \"Other\" app-type card, so I scrolled to the page bottom and took a screenshot to find it visually.\n- The screenshot showed the **Other** (\"old experience\") card; computed its position and clicked it with `cliclick` at logical (1080,914).\n- Page text now shows \"...ase added / Previous / Next\" suggesting a use case/a 719|{"type": "text_end", "ts": 1787028518695, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 718|{"type": "usage_info", "text": "Steps: 70/10000, Context: 81, 594/400,000 tokens, Total tokens: 3,459,938, Budget: $5.7996/$1000.00, ", "total_tokens": 3459938, "cost": "$5.7996", "total_steps": 70, "ts": 1787028518695, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 717|{"type": "tool_result", "content": "", "is_error": false, "tool_name": "Bash", "ts": 1787028509237, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 716|{"type": "system_output", "text": "Previous\nNext\n", "ts": 1787028509237, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 715|{"type": "system_output", "text": "ase added\n", "ts": 1787028509236, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 714|{"type": "tool_call", "name": "Bash", "description": "Click Other card and check state", "command": "cliclick c:1080,914 && sleep 2 && screencapture -x ./tmp/s7.png && sips -c 1243 1920 --cropOffset 1243 960 ./tmp/s7.png --out ./tmp/c7.png > /dev/null && osascript -e 'tell application \"Google Chrome\" to execute active tab of front window javascript \"document.body.innerText.slice(1600,2300)\"'", "extras": {"timeout_seconds": "30"}, "ts": 1787028506700, "taskId": "276b13f6c9354fbc986029dcc0287fdb"}

description: See latest events of whatsapp agent

sqlite3 ~/.kiss/sorcar.db "SELECT seq, substr(event_json,1,600) FROM events WHERE task_id='276b13f6c9354fbc986029dcc0287fdb' ORDER BY seq DESC LIMIT 8;"

721|{"type": "tool_result", "content": "Summary recorded.", "is_error": false, "tool_name": "summary", "ts": 1787028518696, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 720|{"type": "tool_call", "name": "summary", "description": "- Deselected the WhatsApp use case by switching the filter to **All (20)** and clicking the card (the \"1 use case added\" badge disappeared).\n- Opened the **Others (5)** filter; JS element queries couldn't locate the \"Other\" app-type card, so I scrolled to the page bottom and took a screenshot to find it visually.\n- The screenshot showed the **Other** (\"old experience\") card; computed its position and clicked it with `cliclick` at logical (1080,914).\n- Page text now shows \"...ase added / Previous / Next\" suggesting a use case/a 719|{"type": "text_end", "ts": 1787028518695, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 718|{"type": "usage_info", "text": "Steps: 70/10000, Context: 81,594/400,000 tokens, Total tokens: 3,459,938, Budget: $5.7996/$1000.00, ", "total_tokens": 3459938, "cost": "$5.7996", "total_steps": 70, "ts": 1787028518695, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 717|{"type": "tool_result", "content": "", "is_error": false, "tool_name": "Bash", "ts": 1787028509237, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 716|{"type": "system_output", "text": "Previous\nNext\n", "ts": 1787028509237, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 715|{"type": "system_output", "text": "ase added\n", "ts": 1787028509236, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 714|{"type": "tool_call", "name": "Bash", "description": "Click Other card and check state", "command": "cliclick c:1080,914 && sleep 2 && screencapture -x ./tmp/s7.png && sips -c 1243 1920 --cropOffset 1243 960 ./tmp/s7.png --out ./tmp/c7.png >/dev/null && osascript -e 'tell application \"Google Chrome\" to execute active tab of front window javascript \"document.body.innerText.slice(1600,2300)\"'", "extras": {"timeout_seconds": "30"}, "ts": 1787028506700, "taskId": "276b13f6c9354fbc986029dcc0287fdb"}

Aug 17, 2026 9:48:49 PM

▾Thoughts▾ Thinking The WhatsApp agent is currently running through a Meta developer app setup for the WhatsApp Business Cloud API, now at step 70 and consuming budget while automating the process through Chrome and cliclick. I'm noticing the flow seems to be following the standard Meta app creation path, though I'm second-guessing whether this is the right approach for the WhatsApp channel integration. The initial run_agent call timed out after 900 seconds, but the agent continues running in the background as a daemon process. I need to poll the events periodically to check if it completes, and according to my summary rule, I should trigger a summary call once we reach step 9. I'll wait a bit and then check the status again. The WhatsApp agent is actively working through the Meta developer app setup flow (step 70, using Chrome with computer use). I'll poll its progress.

▾ Thinking

The WhatsApp agent is currently running through a Meta developer app setup for the WhatsApp Business Cloud API, now at step 70 and consuming budget while automating the process through Chrome and cliclick. I'm noticing the flow seems to be following the standard Meta app creation path, though I'm second-guessing whether this is the right approach for the WhatsApp channel integration. The initial run_agent call timed out after 900 seconds, but the agent continues running in the background as a daemon process. I need to poll the events periodically to check if it completes, and according to my summary rule, I should trigger a summary call once we reach step 9. I'll wait a bit and then check the status again.

The WhatsApp agent is actively working through the Meta developer app setup flow (step 70, using Chrome with computer use). I'll poll its progress.

Aug 17, 2026 9:48:49 PM

▾Bashdescription: Wait 2 min, then check whatsapp agent latest events sleep 120; sqlite3 ~/.kiss/sorcar.db "SELECT seq, substr(event_json,1,500) FROM events WHERE task_id='276b13f6c9354fbc986029dcc0287fdb' ORDER BY seq DESC LIMIT 4;" timeout_seconds: 150 809|{"type": "tool_call", "name": "ask_user_question", "extras": {"question": "Facebook is asking to re-enter your password to finish creating the app (dialog \"Please re-enter your password\" in your Chrome window, on developers.facebook.com). Please type your Facebook password there and click Submit, then reply \"done\" here."}, "ts": 1787028642114, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 808|{"type": "text_end", "ts": 1787028642114, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 807|{"type": "usage_info", "text": "Steps: 80/10000, Context: 88, 344/400,000 tokens, Total tokens: 4,303,003, Budget: $6.8693/$1000.00, ", "total_tokens": 4303003, "cost": "$6.8693", "total_steps": 80, "ts": 1787028642113, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 806|{"type": "text_delta", "text": "A Facebook password re-entry dialog appeared \u2014 this requires the user:", "ts": 1787028641808, "taskId": "276b13f6c9354fbc986029dcc0287fdb"}

description: Wait 2 min, then check whatsapp agent latest events

sleep 120; sqlite3 ~/.kiss/sorcar.db "SELECT seq, substr(event_json,1,500) FROM events WHERE task_id='276b13f6c9354fbc986029dcc0287fdb' ORDER BY seq DESC LIMIT 4;"

timeout_seconds: 150

809|{"type": "tool_call", "name": "ask_user_question", "extras": {"question": "Facebook is asking to re-enter your password to finish creating the app (dialog \"Please re-enter your password\" in your Chrome window, on developers.facebook.com). Please type your Facebook password there and click Submit, then reply \"done\" here."}, "ts": 1787028642114, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 808|{"type": "text_end", "ts": 1787028642114, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 807|{"type": "usage_info", "text": "Steps: 80/10000, Context: 88,344/400,000 tokens, Total tokens: 4,303,003, Budget: $6.8693/$1000.00, ", "total_tokens": 4303003, "cost": "$6.8693", "total_steps": 80, "ts": 1787028642113, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 806|{"type": "text_delta", "text": "A Facebook password re-entry dialog appeared \u2014 this requires the user:", "ts": 1787028641808, "taskId": "276b13f6c9354fbc986029dcc0287fdb"}

Aug 17, 2026 9:49:01 PM

▾Thoughts▾ Thinking I'm realizing there's a potential issue with how the WhatsApp sub-agent is communicating with the user—when it calls ask_user_question, that question might only appear in the sub-agent's own tab on the daemon, not in the main task interface where the user is actually interacting. To make sure the user sees the request, I should relay it through my own session using talk() or ask_user_question to bridge that gap. The sub-agent needs the user's help: Facebook is asking to re-enter the password. Let me alert the user.

▾ Thinking

I'm realizing there's a potential issue with how the WhatsApp sub-agent is communicating with the user—when it calls ask_user_question, that question might only appear in the sub-agent's own tab on the daemon, not in the main task interface where the user is actually interacting. To make sure the user sees the request, I should relay it through my own session using talk() or ask_user_question to bridge that gap.

The sub-agent needs the user's help: Facebook is asking to re-enter the password. Let me alert the user.

Aug 17, 2026 9:51:01 PM

▾talklanguage: en-US text: Heads up: to finish connecting WhatsApp, Facebook is asking you to re-enter your password. Please look at the Chrome window on developers dot facebook dot com, type your Facebook password in the dialog, and click Submit. Then reply "done" to the WhatsApp agent's question. Spoke to the user in language 'en-US'.

language: en-US

text: Heads up: to finish connecting WhatsApp, Facebook is asking you to re-enter your password. Please look at the Chrome window on developers dot facebook dot com, type your Facebook password in the dialog, and click Submit. Then reply "done" to the WhatsApp agent's question.

Spoke to the user in language 'en-US'.

Aug 17, 2026 9:51:12 PM

Summary recorded.

Aug 17, 2026 9:51:26 PM

▾Bashdescription: Wait 3 min, poll whatsapp agent events and status sleep 180; sqlite3 ~/.kiss/sorcar.db "SELECT seq, substr(event_json,1,500) FROM events WHERE task_id='276b13f6c9354fbc986029dcc0287fdb' ORDER BY seq DESC LIMIT 4;"; echo '---STATUS---'; sqlite3 ~/.kiss/sorcar.db "SELECT rowid, substr(result,1,300) FROM task_history WHERE task_id='276b13f6c9354fbc986029dcc0287fdb';" timeout_seconds: 220 954|{"type": "text_delta", "text": "The portfolio creation dialog is up. Filling it in:", "ts": 1787028874604, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 953|{"type": "thinking_end", "ts": 1787028874603, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 952|{"type": "thinking_delta", "text": " programmatically.", "ts": 1787028873462, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 951|{"type": "thinking_delta", "text": " then submitting it. I'm also noting the field coordinates for the portfolio name, first name, and last name inputs to interact with them", "ts": 1787028873382, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} ---STATUS--- Error: in prepare, no such column: task_id wid, substr(result,1,300) FROM task_history WHERE task_id='276b13f6c9354fbc986 error here ---^

description: Wait 3 min, poll whatsapp agent events and status

sleep 180; sqlite3 ~/.kiss/sorcar.db "SELECT seq, substr(event_json,1,500) FROM events WHERE task_id='276b13f6c9354fbc986029dcc0287fdb' ORDER BY seq DESC LIMIT 4;"; echo '---STATUS---'; sqlite3 ~/.kiss/sorcar.db "SELECT rowid, substr(result,1,300) FROM task_history WHERE task_id='276b13f6c9354fbc986029dcc0287fdb';"

timeout_seconds: 220

954|{"type": "text_delta", "text": "The portfolio creation dialog is up. Filling it in:", "ts": 1787028874604, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 953|{"type": "thinking_end", "ts": 1787028874603, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 952|{"type": "thinking_delta", "text": " programmatically.", "ts": 1787028873462, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 951|{"type": "thinking_delta", "text": " then submitting it. I'm also noting the field coordinates for the portfolio name, first name, and last name inputs to interact with them", "ts": 1787028873382, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} ---STATUS--- Error: in prepare, no such column: task_id wid, substr(result,1,300) FROM task_history WHERE task_id='276b13f6c9354fbc986 error here ---^

Aug 17, 2026 9:51:35 PM

▾Thoughts▾ Thinking The password entry seems to have gone through since the agent's moved on to creating a business portfolio, so I'll keep polling for updates. I need to fix the status query to use the correct column names from the task_history schema—the earlier dump showed the task ID hash in the second column, but I'll need to check the actual schema with PRAGMA to get the right names, though for now I can just focus on polling the events. The user completed the password step; the agent is now creating the Meta business portfolio. Continuing to poll.

▾ Thinking

The password entry seems to have gone through since the agent's moved on to creating a business portfolio, so I'll keep polling for updates. I need to fix the status query to use the correct column names from the task_history schema—the earlier dump showed the task ID hash in the second column, but I'll need to check the actual schema with PRAGMA to get the right names, though for now I can just focus on polling the events.

The user completed the password step; the agent is now creating the Meta business portfolio. Continuing to poll.

Aug 17, 2026 9:54:35 PM

▾Bashdescription: Wait 4 min, poll whatsapp agent events sleep 240; sqlite3 ~/.kiss/sorcar.db "SELECT seq, substr(event_json,1,500) FROM events WHERE task_id='276b13f6c9354fbc986029dcc0287fdb' ORDER BY seq DESC LIMIT 4;" ; true timeout_seconds: 280 1090|{"type": "tool_call", "name": "Bash", "description": "Continue WhatsApp onboarding with portfolio", "command": "osascript <<'EOF'\ntell application \"Google Chrome\"\n set js to \"(function(){var b=[...document.querySelectorAll('a,button,div[role=button]')].find(x=>x.innerText.trim()=='Continue');if(b){b.click();return 'clicked';}return 'notfound';})()\"\n set r to execute active tab of front window javascript js\n delay 12\n set u to URL of active tab of front window\n set js2 to \"documen 1089|{"type": "text_end", "ts": 1787029122057, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 1088|{"type": "usage_info", "text": "Steps: 113/10000, Context: 126, 187/400,000 tokens, Total tokens: 7,842,653, Budget: $11.2905/$1000.00, ", "total_tokens": 7842653, "cost": "$11.2905", "total_steps": 113, "ts": 1787029122056, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 1087|{"type": "text_delta", "text": "Portfolio detected. Continuing WhatsApp onboarding:", "ts": 1787029119952, "taskId": "276b13f6c9354fbc986029dcc0287fdb"}

description: Wait 4 min, poll whatsapp agent events

sleep 240; sqlite3 ~/.kiss/sorcar.db "SELECT seq, substr(event_json,1,500) FROM events WHERE task_id='276b13f6c9354fbc986029dcc0287fdb' ORDER BY seq DESC LIMIT 4;" ; true

timeout_seconds: 280

1090|{"type": "tool_call", "name": "Bash", "description": "Continue WhatsApp onboarding with portfolio", "command": "osascript <<'EOF'\ntell application \"Google Chrome\"\n set js to \"(function(){var b=[...document.querySelectorAll('a,button,div[role=button]')].find(x=>x.innerText.trim()=='Continue');if(b){b.click();return 'clicked';}return 'notfound';})()\"\n set r to execute active tab of front window javascript js\n delay 12\n set u to URL of active tab of front window\n set js2 to \"documen 1089|{"type": "text_end", "ts": 1787029122057, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 1088|{"type": "usage_info", "text": "Steps: 113/10000, Context: 126,187/400,000 tokens, Total tokens: 7,842,653, Budget: $11.2905/$1000.00, ", "total_tokens": 7842653, "cost": "$11.2905", "total_steps": 113, "ts": 1787029122056, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 1087|{"type": "text_delta", "text": "Portfolio detected. Continuing WhatsApp onboarding:", "ts": 1787029119952, "taskId": "276b13f6c9354fbc986029dcc0287fdb"}

Aug 17, 2026 9:54:46 PM

▾Bashdescription: Wait 5 min, poll whatsapp agent events sleep 300; sqlite3 ~/.kiss/sorcar.db "SELECT seq, substr(event_json,1,600) FROM events WHERE task_id='276b13f6c9354fbc986029dcc0287fdb' ORDER BY seq DESC LIMIT 5;" ; true timeout_seconds: 340 1184|{"type": "followup_suggestion", "text": " Resize/downscale any screenshots to under 2000px per dimension before sending them, then retry the WhatsApp authentication flow.", "ts": 1787029276861} 1183|{"type": "task_done"} 1182|{"type": "result", "text": "success: false\nis_continue: false\nsummary: '<p>KISSError: KISS Error: Agent Sorcar VS Code Session-0 failed with 3 consecutive\n errors. Last error: Error code: 400 - {''type'': ''error'', ''error'': {''type'':\n ''invalid_request_error'', ''message'': ''messages.1.content.150.image.source.base64.data:\n At least one of the image dimensions exceed max allowed size for many-image requests:\n 2000 pixels''}, ''request_id'': ''req_011Ce9dFvTCBdzzTboKs8Dxh''}< /p>'\n", "total_tokens": 9020266, "cost": "$12.6949", "step_count": 125, "success": false, "is_continue": 1181|{"type": "text_end", "ts": 1787029274735, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 1180|{"type": "tool_result", "content": "Read binary file ./tmp/c23.png as image/png (949676 bytes); content attached below.\n[attached image/png, 949676 bytes]", "is_error": false, "tool_name": "Read", "path": " ./tmp/c23.png", "ts": 1787029268933, "taskId": "276b13f6c9354fbc986029dcc0287fdb"}

description: Wait 5 min, poll whatsapp agent events

sleep 300; sqlite3 ~/.kiss/sorcar.db "SELECT seq, substr(event_json,1,600) FROM events WHERE task_id='276b13f6c9354fbc986029dcc0287fdb' ORDER BY seq DESC LIMIT 5;" ; true

timeout_seconds: 340

1184|{"type": "followup_suggestion", "text": "Resize/downscale any screenshots to under 2000px per dimension before sending them, then retry the WhatsApp authentication flow.", "ts": 1787029276861} 1183|{"type": "task_done"} 1182|{"type": "result", "text": "success: false\nis_continue: false\nsummary: '<p>KISSError: KISS Error: Agent Sorcar VS Code Session-0 failed with 3 consecutive\n errors. Last error: Error code: 400 - {''type'': ''error'', ''error'': {''type'':\n ''invalid_request_error'', ''message'': ''messages.1.content.150.image.source.base64.data:\n At least one of the image dimensions exceed max allowed size for many-image requests:\n 2000 pixels''}, ''request_id'': ''req_011Ce9dFvTCBdzzTboKs8Dxh''}</p>'\n", "total_tokens": 9020266, "cost": "$12.6949", "step_count": 125, "success": false, "is_continue": 1181|{"type": "text_end", "ts": 1787029274735, "taskId": "276b13f6c9354fbc986029dcc0287fdb"} 1180|{"type": "tool_result", "content": "Read binary file ./tmp/c23.png as image/png (949676 bytes); content attached below.\n[attached image/png, 949676 bytes]", "is_error": false, "tool_name": "Read", "path": "./tmp/c23.png", "ts": 1787029268933, "taskId": "276b13f6c9354fbc986029dcc0287fdb"}

Aug 17, 2026 9:58:54 PM

▾Thoughts▾ Thinking The sub-agent hit an API limit when processing screenshot images that exceeded 2000px dimensions during the portfolio creation and WhatsApp onboarding workflow. I need to restart the agent with instructions to downscale all screenshots below that threshold and resume from where it stopped at step 125, with the Chrome window still positioned at the onboarding flow. ▾ Thinking The sub-agent crashed at step 125 due to oversized screenshots, but made significant progress on the app, portfolio, and WhatsApp onboarding. I'll relaunch it with instructions to downscale screenshots and continue from the current state.

▾ Thinking

The sub-agent hit an API limit when processing screenshot images that exceeded 2000px dimensions during the portfolio creation and WhatsApp onboarding workflow. I need to restart the agent with instructions to downscale all screenshots below that threshold and resume from where it stopped at step 125, with the Chrome window still positioned at the onboarding flow.

▾ Thinking

The sub-agent crashed at step 125 due to oversized screenshots, but made significant progress on the app, portfolio, and WhatsApp onboarding. I'll relaunch it with instructions to downscale screenshots and continue from the current state.

Aug 17, 2026 10:03:55 PM

▾run_agentagent: whatsapp task: Continue and finish authenticating the user with WhatsApp. IMPORTANT CONSTRAINT: before reading or attaching ANY screenshot image, always downscale it so both dimensions are under 2000 pixels (e.g. `sips -Z 1600 file.png`); never attach an image with any dimension >= 2000px, or the LLM request will fail. Context from the previous attempt (which crashed only because of oversized screenshots): a Meta developer app was already being created on developers.facebook.com in the user's Google Chrome (front window / active tab), the WhatsApp use case was selected, the user re-entered their Facebook password, a business portfolio was created, and the WhatsApp onboarding "Continue" step was in progress. Resume from the current state of that Chrome tab (use osascript JavaScript injection and cliclick as before, plus downscaled screenshots) and complete the WhatsApp setup: obtain the access token / phone number ID / test number as required by the whatsapp channel, store the credentials where the whatsapp channel expects them, verify the session works (e.g., confirm the account is connected or send a test API call), and report the connected account details. Ask the user for help only if stuck on login or captcha. model_name: claude-fable-5 success: false summary: "<h3>WhatsApp setup cancelled at your request< /h3>\n<p>I stopped the task\ \ as soon as you said \"cancel\". No review request was submitted and no credentials\ \ were stored. Here is exactly where things stand:< /p>\n<ul>\n <li><strong>Meta\ \ developer app created:< /strong> \"KISS Sorcar Channel\" (App ID <code>4613164228912044< /code>)\ \ with the WhatsApp product added, in Development mode.< /li>\n <li><strong>Business\ \ portfolio created:< /strong> \"Koushik Sen Business\" (business_id <code>878404888486318< /code>).< /li>\n\ \ <li><strong>Blocker found:< /strong> clicking <em>Continue< /em> on the WhatsApp\ \ API Setup page failed with <em>\"Onboarding failure: Your business is prohibited\ \ from advertising, including app sharing.\"< /em> Meta placed an automatic <strong>Business\ \ restriction< /strong> on the new portfolio, which blocks WhatsApp onboarding (no\ \ test number or access token can be issued until it is lifted).< /li>\n <li><strong>Not\ \ completed:< /strong> I had just opened the \"Request review\" flow in Business\ \ Support Home when you cancelled; I dismissed it without submitting anything. WhatsApp\ \ credentials are <strong>not< /strong> configured for the channel.< /li>\n< /ul>\n\ <h3>If you want to resume later< /h3>\n<ol>\n <li>Go to <a href=\"https://business.facebook.com/business-support-home/?business_id=878404888486318\"\ >Business Support Home< /a> and click <strong>Request review< /strong> for \"Koushik\ \ Sen Business\" (usually requires a quick identity confirmation; reviews often\ \ clear within hours to a couple of days).< /li>\n <li>Once the restriction is lifted,\ \ open the app's <a href=\"https://developers.facebook.com/apps/4613164228912044/whatsapp-business/wa-dev-console/\"\ >WhatsApp > API Setup< /a> page, click <strong>Continue< /strong>, and copy the\ \ temporary access token and phone number ID.< /li>\n <li>Ask me to finish authentication,\ \ or run <code>authenticate_whatsapp(access_token=..., phone_number_id=...)< /code>\ \ yourself.< /li>\n< /ol>"

agent: whatsapp

task: Continue and finish authenticating the user with WhatsApp. IMPORTANT CONSTRAINT: before reading or attaching ANY screenshot image, always downscale it so both dimensions are under 2000 pixels (e.g. `sips -Z 1600 file.png`); never attach an image with any dimension >= 2000px, or the LLM request will fail. Context from the previous attempt (which crashed only because of oversized screenshots): a Meta developer app was already being created on developers.facebook.com in the user's Google Chrome (front window / active tab), the WhatsApp use case was selected, the user re-entered their Facebook password, a business portfolio was created, and the WhatsApp onboarding "Continue" step was in progress. Resume from the current state of that Chrome tab (use osascript JavaScript injection and cliclick as before, plus downscaled screenshots) and complete the WhatsApp setup: obtain the access token / phone number ID / test number as required by the whatsapp channel, store the credentials where the whatsapp channel expects them, verify the session works (e.g., confirm the account is connected or send a test API call), and report the connected account details. Ask the user for help only if stuck on login or captcha.

model_name: claude-fable-5

success: false summary: "<h3>WhatsApp setup cancelled at your request</h3>\n<p>I stopped the task\ \ as soon as you said \"cancel\". No review request was submitted and no credentials\ \ were stored. Here is exactly where things stand:</p>\n<ul>\n <li><strong>Meta\ \ developer app created:</strong> \"KISS Sorcar Channel\" (App ID <code>4613164228912044</code>)\ \ with the WhatsApp product added, in Development mode.</li>\n <li><strong>Business\ \ portfolio created:</strong> \"Koushik Sen Business\" (business_id <code>878404888486318</code>).</li>\n\ \ <li><strong>Blocker found:</strong> clicking <em>Continue</em> on the WhatsApp\ \ API Setup page failed with <em>\"Onboarding failure: Your business is prohibited\ \ from advertising, including app sharing.\"</em> Meta placed an automatic <strong>Business\ \ restriction</strong> on the new portfolio, which blocks WhatsApp onboarding (no\ \ test number or access token can be issued until it is lifted).</li>\n <li><strong>Not\ \ completed:</strong> I had just opened the \"Request review\" flow in Business\ \ Support Home when you cancelled; I dismissed it without submitting anything. WhatsApp\ \ credentials are <strong>not</strong> configured for the channel.</li>\n</ul>\n\ <h3>If you want to resume later</h3>\n<ol>\n <li>Go to <a href=\"https://business.facebook.com/business-support-home/?business_id=878404888486318\"\ >Business Support Home</a> and click <strong>Request review</strong> for \"Koushik\ \ Sen Business\" (usually requires a quick identity confirmation; reviews often\ \ clear within hours to a couple of days).</li>\n <li>Once the restriction is lifted,\ \ open the app's <a href=\"https://developers.facebook.com/apps/4613164228912044/whatsapp-business/wa-dev-console/\"\ >WhatsApp > API Setup</a> page, click <strong>Continue</strong>, and copy the\ \ temporary access token and phone number ID.</li>\n <li>Ask me to finish authentication,\ \ or run <code>authenticate_whatsapp(access_token=..., phone_number_id=...)</code>\ \ yourself.</li>\n</ol>"

Aug 17, 2026 10:04:10 PM

▾Promptcancel

cancel

Aug 17, 2026 10:06:45 PM

▾Thoughts▾ Thinking The user has cancelled, so I should acknowledge this briefly and let them know where things stand now that the sub-agent has stopped.

▾ Thinking

The user has cancelled, so I should acknowledge this briefly and let them know where things stand now that the sub-agent has stopped.

Aug 17, 2026 10:07:14 PM

▾talklanguage: en-US text: Okay, I've cancelled the WhatsApp setup. Nothing was submitted and no credentials were stored. Quick heads up: Meta put an automatic restriction on the new business portfolio, which is what blocked onboarding. I've left instructions in the summary for how to lift it and resume later if you want. Spoke to the user in language 'en-US'.

language: en-US

text: Okay, I've cancelled the WhatsApp setup. Nothing was submitted and no credentials were stored. Quick heads up: Meta put an automatic restriction on the new business portfolio, which is what blocked onboarding. I've left instructions in the summary for how to lift it and resume later if you want.

Spoke to the user in language 'en-US'.

Aug 17, 2026 10:07:22 PM

▾finishsuccess: False is_continue: False summary_in_html: <h3>WhatsApp authentication — cancelled at your request</h3> <p>The setup was stopped immediately when you said "cancel". No review request was submitted to Meta and no WhatsApp credentials were stored. Here is exactly where things stand:</p> <ul> <li><strong>Meta developer app created:</strong> "KISS Sorcar Channel" (App ID <code>4613164228912044</code>) with the WhatsApp product added, in Development mode.</li> <li><strong>Business portfolio created:</strong> "Koushik Sen Business" (business ID <code>878404888486318</code>).</li> <li><strong>Blocker encountered:</strong> clicking <em>Continue</em> on the WhatsApp API Setup page failed with <em>"Onboarding failure: Your business is prohibited from advertising, including app sharing."</em> Meta placed an automatic restriction on the new portfolio, which blocks WhatsApp onboarding — no test number or access token can be issued until it is lifted.</li> <li><strong>Not completed:</strong> the "Request review" flow in Business Support Home was opened but dismissed without submitting anything when you cancelled. The WhatsApp channel remains unauthenticated.</li> </ul> <h3>If you want to resume later</h3> <ol> <li>Go to <a href="https://business.facebook.com/business-support-home/?business_id=878404888486318">Business Support Home</a> and click <strong>Request review</strong> for "Koushik Sen Business" (usually a quick identity confirmation; reviews often clear within hours to a couple of days).</li> <li>Once the restriction is lifted, open the app's <a href="https://developers.facebook.com/apps/4613164228912044/whatsapp-business/wa-dev-console/">WhatsApp > API Setup</a> page, click <strong>Continue</strong>, and copy the temporary access token and phone number ID.</li> <li>Ask me to finish authentication — I'll store the credentials for the whatsapp channel and verify the connection with a test API call.</li> </ol> <p><em>Note:</em> the first setup attempt crashed partway due to oversized screenshots in the automation; it was relaunched with downscaled screenshots and resumed cleanly from the same browser state before you cancelled.</p>

success: False

is_continue: False

summary_in_html: <h3>WhatsApp authentication — cancelled at your request</h3> <p>The setup was stopped immediately when you said "cancel". No review request was submitted to Meta and no WhatsApp credentials were stored. Here is exactly where things stand:</p> <ul> <li><strong>Meta developer app created:</strong> "KISS Sorcar Channel" (App ID <code>4613164228912044</code>) with the WhatsApp product added, in Development mode.</li> <li><strong>Business portfolio created:</strong> "Koushik Sen Business" (business ID <code>878404888486318</code>).</li> <li><strong>Blocker encountered:</strong> clicking <em>Continue</em> on the WhatsApp API Setup page failed with <em>"Onboarding failure: Your business is prohibited from advertising, including app sharing."</em> Meta placed an automatic restriction on the new portfolio, which blocks WhatsApp onboarding — no test number or access token can be issued until it is lifted.</li> <li><strong>Not completed:</strong> the "Request review" flow in Business Support Home was opened but dismissed without submitting anything when you cancelled. The WhatsApp channel remains unauthenticated.</li> </ul> <h3>If you want to resume later</h3> <ol> <li>Go to <a href="https://business.facebook.com/business-support-home/?business_id=878404888486318">Business Support Home</a> and click <strong>Request review</strong> for "Koushik Sen Business" (usually a quick identity confirmation; reviews often clear within hours to a couple of days).</li> <li>Once the restriction is lifted, open the app's <a href="https://developers.facebook.com/apps/4613164228912044/whatsapp-business/wa-dev-console/">WhatsApp > API Setup</a> page, click <strong>Continue</strong>, and copy the temporary access token and phone number ID.</li> <li>Ask me to finish authentication — I'll store the credentials for the whatsapp channel and verify the connection with a test API call.</li> </ol> <p><em>Note:</em> the first setup attempt crashed partway due to oversized screenshots in the automation; it was relaunched with downscaled screenshots and resumed cleanly from the same browser state before you cancelled.</p>

Aug 17, 2026 10:07:42 PM

Result

Tokens 558,252Cost $1.8372

Status: FAILED

WhatsApp authentication — cancelled at your request

The setup was stopped immediately when you said "cancel". No review request was submitted to Meta and no WhatsApp credentials were stored. Here is exactly where things stand:

Meta developer app created: "KISS Sorcar Channel" (App ID 4613164228912044) with the WhatsApp product added, in Development mode.
Business portfolio created: "Koushik Sen Business" (business ID 878404888486318).
Blocker encountered: clicking Continue on the WhatsApp API Setup page failed with "Onboarding failure: Your business is prohibited from advertising, including app sharing." Meta placed an automatic restriction on the new portfolio, which blocks WhatsApp onboarding — no test number or access token can be issued until it is lifted.
Not completed: the "Request review" flow in Business Support Home was opened but dismissed without submitting anything when you cancelled. The WhatsApp channel remains unauthenticated.

If you want to resume later

Go to Business Support Home and click Request review for "Koushik Sen Business" (usually a quick identity confirmation; reviews often clear within hours to a couple of days).
Once the restriction is lifted, open the app's WhatsApp > API Setup page, click Continue, and copy the temporary access token and phone number ID.
Ask me to finish authentication — I'll store the credentials for the whatsapp channel and verify the connection with a test API call.

Note: the first setup attempt crashed partway due to oversized screenshots in the automation; it was relaunched with downscaled screenshots and resumed cleanly from the same browser state before you cancelled.

Aug 17, 2026 10:07:42 PM

Suggested nextGo to Business Support Home and submit a "Request review" for the "Koushik Sen Business" portfolio to lift the advertising restriction blocking WhatsApp onboarding.